icrtst.atme.inicrtst.atme.in/assets/icrtst-2020 proceeding.pdf · contents basic science 1....
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CONTENTS
BASIC SCIENCE
1. Determination Of Structural And Mechanical Property Of Mcu-5 Cotton
Fiber 1
2. Coefficient Bounds For Subclasses Of Bi-Univalent Functions Defined By
(P,Q)-Derivatives 1
3. Certain Differential Coefficients And Convolution Sums Involving Series
Identities 2
4. Effect Of Incorporation Of Green Synthesized Zno Nanofillers On
Mechanical And Antifungal Activity Of Pmma Denture Base Resin 2
5. Biogenic Synthesis Of Zno Nanocrystal By Acalypha Indica Leaf Extract
And Cytotoxicity Assessment 3
6. Swift Heavy Ion Irradiation Studies On Sige Hbts At Low Temperature 3
7. Ervatamia Coronaria Seed Oil For Biodiesel Production: An Investigative
Approach Via Fatty Acid Chemistry 4
8. Synthesis, Characterization And Dc Conductivity Studies Of Samarium
Activated La2Moo6 Nanocomposites 4
9. Enhanced Photocatalytic Degradation Of Rhodamine B Using Porous
Tricobalt Tetraoxide Nanoparticles 5
10. A Review On Synthesis And Pharmacological Importance Of Imidazole
Derivatives 5
11. Synthesis Of Metal Complexes With Schiff Base For Degradation Of Janus
Green B Dye 6
12. Studies On Extraction And Applications Of Prodigiosin From Serratia
Marcescens 6
CIVIL ENGINEERING
13. “An Study Of Fiber Reinforced Light Weight Ferrocement Beams Under
Monotonic And Repeated Loading” 7
14. Flow Measurements In Open Channel- A Literature Review 7
15. Dairy Wastewater Treatment Using Orange Peels As An Adsorbent 8
16. The Effect Of Blended Mix (Naoh-Na2Sio3) Over The Compressive
Strength Development Of Geopolymer Concrete Using M-Sand Subjected
To Adverse Environments Of Acid And Sulphate 8
17. Fatigue Reliability Evaluation Of Railway Steel Bridges - A Critical
Review 9
18. Experimental a investigation On Concretea using Laterite Soil As Partial
Replacement To Sand 9
19. Earthquake Disaster Mitigation And Management In Mysore District,
Karnataka 10
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20. Groundwater Quality Assessment Around The Hebbal Lake By Canadian
Council Of Ministers Of The Environment Water Quality Index (Ccme
Wqi) 10
21. Evaluating Optimum Temperature And Mechanical Properties Of Self
Compacting Concrete Filled Steel Tubes Under Compression 11
22. A Study On The Performance Of 2D And 3D Geogrid Reinforced Sand
Under Cyclic Loading 11
23. Utilization Of Metakaolin As A Partial Replacement By Cement With
Self-Compacting Concrete 12
24. Comparison Between Analysis Of A Portal Frame By Etabs And Moment
Distribution Method 12
25. Identification Of Groundwater In Hard Gneiss Terrain Using Remote
Sensing And Gis 13
26. “Comparative Study On Behaviour Of Rc Framed Buildings With Infills
Modelled Using Fema 356 & Is: 1893” 13
27. Comparitive Study And Rate Analysis Of A Non-Rated Residential
Building And A Sva-Griha Rated Green Building 14
28. Experimental Study On Strength And Durability Characteristics Of Foam
Concrete By Using Synthetic Foaming Agent 14
29. Shear Behavior Of Compacted China Clay – Sand Mixtures 15
30. Bioethanol Production From Waste Banana Peel 15
COMPUTER SCIENCE AND ENGINEERING
31. Advancement In Object Tracking Models And Techniques 16
32. Optimized K-Nn Classifier For Achieving Personalized Recommender
System Using Product Reviews Data 17
33. Survey On Security Issues And Challenges For Ubiquitous Computing 17
34. Securing Textual And Image Data On Cloud Using Searchable Encryption 18
35. Analyzing Digital Footprints For Predicting Personality Traits Of Social
Media Users 18
36. Techniques For Identification And Classification Of Flowers Using Image
Processing And Computer Vision: A Survey 19
37. A Survey On Real Time Traffic Light Control Using Image Processing 19
38. A Study On Learning Spatial And Temporal Extents Of Human Actions
For Action Detection 20
39. Newton's Gregory Interpolation Principle To Identify And Predict The
Unknown Values From Item-Set Data Of The Super Market. 20
40. Review On Enhanced Energy Efficient Routing Protocol Of Wsn And Use
Of Iot 21
41. Traffic Violation Management System - A Review 21
42. Study On Network Simulation Using Cisco Packet Tracer 22
43. Implications Of Iot In Agriculture And Healthcare Sectors – A Case Study 22
44. Classification Of E-Textbooks Based On Table Of Contents 23
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45. A Study On Cyber Security For Sovereign Vehicles 23
46. Heterogenous Ternary Tree Based Dynamic Multi Hop (Httbdmh)-Leach
Energy Efficient Routing Protocols (Eerp) In Wsn’S. 24
47. Local Neighbourhood Intensity Pattern Feature Extractor With ϴ(1) Time
Complexity Using Parallel Processing 24
48. Detection Of Malicious Network Traffic Using Machine Learning 25
49. Qos Based Routing Protocol For Multimedia Traffic In Manet 25
50. Machine Learning Based Analysis Of Pulse Rate Using Panchamahabhutas
And Ayurveda 26
51. Comparison Of Technologies, Devices, Communication Protocol Of Smart
Home Automation System In Iot 26
52. Wrapper Based Feature Selection Methods For Household Food Insecurity
Classification 27
53. Women Safety Using Iot - A Survey 27
54. Big Data Analytics - Tools, Challenges, Applications, Future Scope 28
55. An Empirical Evaluation To Measure The Blended Effect Of Test Driven
Development With Continuous Integration 29
56. Smart Agriculture Using Machine Learning And Image Processing 29
57. Smart Medicine Kit Using Alexa 30
58. Performance Analysis Of Color K-Means And Range Filter For Text
Detection In Images Or Video 30
59. Convnet For Fingerprint Perceptivity Enhancement And Biometric
Identification 31
60. Sign Postures Recognition For Deaf And Dumb 31
61. Image Based Classifier For Chronic Respiratory Disease And Swollen
Head Syndrome In Chickens Using Svm 32
62. Antihacker Using Computer Networks And Security 32
63. Atsr: Distance And Time Based Advanced Tour Sequence
Recommendation System 33
64. Smart Maintenance System For Distribution Transformer 33
65. Detection Of Clinical Features For The Early Diagnosis And Classification
Of Diabetic Retinopathy : A Systematic Review 34
66. Potato(Solanum) Crop Diseases, Symptoms And Their Management: A
Survey 34
67. Smart Toilet Using Solar Energy 35
68. Parallel Algorithms For Matrix Sort 35
69. Classification Of Internet Traffic Data Using Feedforward Network: An
Approach Using Reduced Number Of Features 36
70. Survey On Blockchain Technology - Merits, Demerits And Its
Applications 36
71. Study On Rip And Eigrp Routing Protocols And Configuration 37
72. Robust Signature Verification Using Deep Learning 37
73. Compressive Strength And Slump Flow Prediction Of Concrete Mixture
Using Machine Learning Models: A Survey 38
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74. An Experimental Study On Comparison Of Credit Scoring Models 38
75. Recognition Of Alzheimer’S Disease Using Mri Scans By Artificial Neural
Network 39
76. Brief Overview Of Hadoop Framework – Map Reduced And Schedulers 39
77. Energy Efficient Parallel Leach Protocol For Underwater Wireless Sensor
Network 40
78. An Insight Into Feature Extraction Algorithms For Vehicle Platoon
Management 40
79. Object Detection Through Symbiotic Deep Learning: Detection And
Recognition On Resource Constrained Device 41
80. Extractive Text Summarization Using Fuzzy Logic 41
81. A Review Of Machine Learning Techniques For Diabetes Diagnosis On
Medical Data 42
82. Drone Based Object Classification Using Naïve Bayes Classifier 42
83. A Survey: Dynamic Link Prediction On Social Networks Using Machine
Learning Techniques 43
84. An Approach Of Automating A System For Simulation Of Nanomaterials 43
85. Vehicle Movement Street Light Controller System 44
ELECTRICAL AND ELECTRONICS ENGINEERING
86. Arduino Based Solar Charged Drone 45
87. Fault Mode And Effect Analysis Of Vsi Driven Induction Motor 45
88. Impact Of Pollutants On Solar Panel Performance In Tropical Countries 46
89. Power Quality Improvement Techniques In Power Distribution
System:Current And Future Trends In Research 46
90. Effective Utilization Of Median Of National Highway For Installation Of
Pv Panel And Its Interconnection With Grid 47
91. Power Quality Analysis Of Distribution System Integrated With Multiple
Pvs 47
92. Analysis Of Partial Shading Effects In Grid Connected Solar Pv System
With Fuzzy Controller 48
93. Dfig Based Power Generation Under Variable Wind Speed Using Fuzzy
Controllers 48
94. Application Of Artificial Intelligence For Power Quality Issues 49
95. Development Of Iot Based Digital Notice Board Using Raspberry Pi 49
96. Design Of Water Waste Collector By Seabin 50
97. Design Of Motorised Wheelchair For Paraplegic 50
98. Iot Based Self Automated Energy Saver In It & Domestic Applications 51
99. Design and simulation of the three phase z-source inverter 51
100. Induction Motor Driving System Using Push-Pull Converter and Three
Phase Multilevel Inverter 52
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ELECTRONICS AND COMMUNICATION ENGINEERING
101. Design And Testing Of Low - Cost Reinforced Gate Drive Circuit And
Voltage Source Inverter For Induction Motor 53
102. Two Factor Authentication System 53
103. Performance Analysis Of Vedic Multiplier Architectures 54
104. Genetic Algorithm Based Optimization Of Vlsi Circuits 54
105. Simultaneous Diagnose Of Bearing And Rotor Bar Faults Of Induction
Motor Using Ultra-Wide Band Radar Signal Analysis With Wavelet
Transforms
55
106. Iot Based Diabetes Detection Using Machine Learning Algorithms 55
107. Classification Of Crops Across Heterogeneous Agricultural Landscape At
Village Level Using High Resolution Satellite Image 56
108. Implementation Of Smart Anti - Theft Vehicles Security System Using Iot 56
109. A Smart Water Dispenser Based On Plastic Recycling 57
110. Proposal Of Cost Effective Wireless Power Transfer System for Solar
using Aerial Technology 57
111. Review On System Identification Using Adaptive Filters 58
112. Measurement Of Hybrid And Impedance Parameters Using An
Autonomous System 58
113. Internet Of Things Based Smart Energy Meter 59
114. Review On Microcontroller Based Anesthesia Machine 59
115. A Novel Low Profile Microstrip Antenna Array With Improved
Performance For 2.4 Ghz Wireless Communication Applications 60
116. Survey On Automatic Color Sorting In Robotic Arm Using Artificial
Intelligence 60
117. Dual Band Operating Rectangular Patch Antenna For Mm-Wave 61
118. Ultrasonic Smart Stick For Visually Impaired 61
119. Diagnosis Of Alzheimer’S Disease Using Multi-Layer Perceptron Network
For Urban Population 62
120. High Speed And Low Power Implementation Of K-Means Clustering
Algorithm For Image Analysis 62
121. Review on Soldier Health And Position Tracking System 63
122. A Study On Iot Technologies For Fire Safety System 64
123. Design Of 64X64 Single Port Sram Array Using 45Nm 64
124. A Study And Ssim Analysis On Camera Raw Image Processing 65
125. A Review On Design And Implementation Of Standard And Macro Cells
Of Aes Algorithm 65
126. Detection Of Various Stages Of Lung Cancer 66
127. Review On Fractional-N Frequency Synthesizers 66
128. Moving Object Detection And Tracking: A Review 67
129. Design And Development Of System Time Domain Parameters
Measurement Device 67
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130. A Review On Design And Implementation Of An Analog To Digital
Converter, Digital To Analog Converter And Noise Amplifier 68
131. A Literature Survey Of Image Processing Techniques In Detecting Brain
Tumor 68
132. A Review On Different Navigation Techniques For Blind People 69
133. Iot Early Flood Detection And Avoidance System. 69
134. Survey On Selective Image Encryption Techniques 70
135. A Review Paper On Brainwave Sensor For Identification And Control Of
Hypertension 70
136. Physical Dynamics And Steady State Analysis Simulation And Study Of
Comprehensive Models Of Type 1 Diabetes 71
137. The Vision And Embedded System Based Real-Time Robot Path Planning:
A Review 71
138. Review On Hardware Accelerator Design And Implementation Of Aes
Algorithm For Image Encryption 72
139. Biometric Based Automatic Ration Vending Machine 73
140. A Survey On Handwritten Circuit Diagram Detection And Recognition 73
141. Drainage Overflow Detection 74
142. Intelligent Wheelchair For Handicapped Persons 74
143. A Labview Based Instrumentation System For A Wind-Solar Hybrid
Power Station 75
144. Temperature Profile Tracking In A Pilot Plant Batch Reactor Heating
Using Mpc And Cascade Controllers 75
145. A Mem Electric Field Sensor For Characterization Of Charges In Resonant
Electrostatic-Capacitive Mems Device: A Systematic Survey 76
146. Arduino Inclinometer Using Mpu6050 76
147. A Survey On Frontier Based Strategies For Multi Robot Exploration 77
148. Evaluation Of Three Image Fusion Technique Using Maximum Likelihood
Classifier 77
149. Li-Fi Technology: The Smarter Faster Secure Energy Efficient Data
Transmission Technology And An Enabling Technology For Internet Of
Things 78
150. Li-Fi Technology: The Transmission Of Data Through Led Lights Using
Li-Fi Technology 78
151. Nanowire Transistors: A Next Step For Low Power Digital Technology 79
152. Area Efficient Full-Adder & Full-Subtractor Designs Using Qca 79
153. Programmable Remote Controller 80
154. Machine Learning And Eeg In Diagnosing Depression: A Survey 81
155. Dtmf Controlled Metal Detector Robotic Vehicle Using Metal Detector
Circuit And Arduino 81
156. Li-Fi Technology: The Transmission Of Video Data Through Visible
Lights Using Li-Fi Technology 82
157. Agricultural Automation Using Iot 82
158. Obstacle Avoiding Vehicle 83
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159. Proposed Ofdm System Using Different Modulation Schemes And Varied
Cyclic Prefix Length For Wimax System 83
MECHANICAL ENGINEERING
160. Preparation And Investigation Of Aluminium-Alumina Metal Matrix
Composite 84
161. Aerodynamic Characteristic Material For Enhancing Efficiency Of Wind
Turbine 84
162. An Investigation Into The Evaluation Of Tool And Thermal Characteristics
For Optimization Of Process Parameters In Machining Tool Steel. 85
163. Recent Progress In Extrusion Honing Process: An Overview 85
164. Design And Development Of Air Blast Shot Peening Machine To Study
The Effect Of Shot Peening Process On Microstructure And Residual
Stress In Al-2024 Aluminum Alloy 86
165. Design And Analysis Of A Suction Cup In Bore Well To Rescue The
Children 86
166. Thermal Performance Of Gas Turbine Blade With And Without Internal
Cooling 87
167. Fabrication And Tribological Characteristics Of Al6061-B4C Metal Matrix
Composites 87
168. Synthesis Of Limonia Acidissima (Wood Apple) Shell Micro And
Nanoparticles Via Top-Down Approach 88
169. Impact Of Grit Geometry On The Abrasion Wear Behavior Of Glass –
Basalt Hybrid Thermoplastic Composites 88
170. Optimization Of Asymmetric Spur Gear Tooth 89
171. Effect Of Heat Treatment On Corrosion Behavior Of Al 2014 Based
Hybrid Composite For Marine Application 89
172. Study Of Three Body Abrasive Wear Behavior Of Glass Fiber – Polyester
Composite At Different Filler Loading 90
173. Heat Transfer Performance Using Different Nano Fluids In A Concentric
Tube Heat Exchanger By Arranging Louvered 90
174. Estimation Of Heat Transfer In Radiator Using Different Kinds Of Nano
Fluids In Cfd 91
175. Critical Factors Effecting On Biodiesel Production- A Review 91
176. Characterization Of ‘Allisitini’, Equi-Atomic High Entropy Alloy
Produced By Mechanical Alloying 92
177. Influence Of Mos2 And Tio2 Fillers On Tribological Behaviour Of Natural
Fiber Reinforced Epoxy Composites 92
178. Iot Based Air Pollution Monitoring System Using Drones 93
179. Kevlar Based Fibre Reinforced Polymer Composite- A Review 93
180. Effect Of Wood Filler On Mechanical Properties Of Short Carbon Fiber
Reinforced Polypropylene Hybrid Composites 94
181. Study Of Utilization Of Biofuels And Environmental Impacts 94
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182. Design And Fabrication Of Digital Mileage Measuring Device For
Vehicle 95
183. Automated Scum Removal Machine In Jaggery Production 95
184. Mechanical Characteristics Of Coated Aluminium Matrix Composites - A
Review 96
185. Effect Of Rate Of Strain On The Mechanical Properties Of Epoxy-Glass
Fabric Reinforced Nano Composites 97
186. Effect Of Glass Powder And Mwcnts On Mechanical And Wear Properties
Of Epoxy Based Hybrid Composites With Added Fillers For Elevated
Temperature Applications 98
187. Influence Of Reinforcement Materials On Mechanical, Metallurgical And
Tribological Behavior Of Aluminum Composites-Review 99
188. Low Cost Iot Based Ev Charging Station With Power Bank Vending
Mechanism 100
189. Frictional Effects And Sliding Pressure On The Wear Behaviour Of Glass-
Basalt Composites 100
190. Exploring The Sliding Wear Behavior Of Pa66/Pa6 Blend Nano
Composites: Influence Of Load And Velocity 101
191. Impact Behavior Of Hybrid Nano Filled Kevlar Reinforced Composites 102
192. Mechanical characterization of aluminum-tib2 metal matrix composites by
in-situ method. 102
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Basic Science
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
1
DETERMINATION OF STRUCTURAL AND MECHANICAL
PROPERTY OF MCU-5 COTTON FIBER
Manju V V, Divakara S, Vinayakprasanna N Hegde
Department of Physics
Vidyavardhaka College of Engineering, Visvesvaraya
Technological University
Gokulam, III Stage, Mysuru, India
R Somashekar
Centre for material science
University of Mysore, Vijnana Bhavan
Mysuru, India
Abstract: The present study illustrates the structural properties of MCU-5 cotton using Linked atom least
square (LALS) method. Also, we have computed the Mechanical properties of MCU-5 cotton fiber using X-ray
diffraction data.Voigt approximation is used to determine the Bulk (K), Young’s (Y), Shear (n), Poisson’s ratio
(σ) and linear tensor moduli and the 3-dimensional variations of these elastic constants are shown. Using the
Peakfit® program, 13reflections are identified and Full Width Half Maxima (FWHM) of these reflections (hkl)
are used to compute the shape of ordered region along [hkl] directions. From these data, for the first time we
have computed 3-dimensional image of ordered region.
Keywords: Elastic constants, WAXS, LALS. ELATE
COEFFICIENT BOUNDS FOR SUBCLASSES OF BI-UNIVALENT
FUNCTIONS DEFINED BY (P,Q)-DERIVATIVES
Vijaya Shetty#1,
Department of Mathematics,
N I E Institute of Technology,
Mysore, India
Raju D S,
Department of Mathematics,
N I E Institute of Technology,
Mysore, India
Abstract: This paper introduces two new subclasses Bp,q
(λ, μ, α) and Bp,q
[λ, μ, γ] of bi-univalent functions by
using (p, q)-derivatives and determine the bounds for first two coefficients for functions in these subclasses.
Keywords: univalent function; bi-univalent function; coefficient bounds; (p,q)-derivative ; q-derivative
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
2
CERTAIN DIFFERENTIAL COEFFICIENTS AND CONVOLUTION
SUMS INVOLVING SERIES IDENTITIES
Vidya H. C.* and Ashwtah Rao B.
*Mathematics Department, Manipal Institute of Technology,
Computer Science Department, Manipal Institute of Technology,
Manipal Academy of Higher Education, Manipal, India.
E-mail : [email protected], [email protected]
Abstract: Ramanujan recorded different levels of beautiful Eisenstein series relations in his notebooks. Further,
Shaun cooper in his book noted several identities involving Eisenstein series and theta functions. In this paper,
certain differential identities have been established, which involves eta-functions, Eisenstein series of different
levels and the series identities. Further, the convolution sum has been evaluated using Eisenstein series of level
5 and 7.
Keywords: Eisenstein series, Dedekind eta-function, Convolution sum
EFFECT OF INCORPORATION OF GREEN SYNTHESIZED ZNO
NANOFILLERS ON MECHANICAL AND ANTI-FUNGAL ACTIVITY
OF PMMA DENTURE BASE RESIN
Green Synthesized ZnO nanofillers for denture base resin
P. Shubha1, 2
1Department of Material Science
Mangalore University
Mangalagangotri-574199, India 2 Centre for Materials Science and Technology
Vijnan Bhavan, University of Mysore
Manasagangotri, Mysore-570006, India
K. Namratha
Department of Earth Science
University of Mysore
Manasagangotri, Mysore-570006, India
S. Ganesh
Department Prosthodontics, Crown & Bridge
JSS Dental College and Hospital JSS AHER
SS Nagar, Bannimantap, Mysore -570015, India
K. Byrappa
Adichunchanagiri University, BG Nagara
Mandya District-571433
E-mail address: [email protected]
Abstract: ZnO nanoparticles that are green synthesized using co-precipitation method and using Piper betel
aqueous extract (PZnO) as bioreductant were incorporated into the powder matrix of commercially available
heat cure acrylic denture base resin (PMMA) in 0.25%, 0.5% and 1% w/v ratio. PMMA specimen with/without
the incorporation of PZnO nanofillers was prepared according ADA specification #12 and ISO 1567:1998
standards and tested for flexural strength, surface roughness and fungal adhesion inhibition. Mean flexural
strength of PMMA standard (without PZnO nanofiller addition) was 71.285 MPa, while those incorporated with
0.25%, 0.5% and 1% PZnO showed 73. 278, 75. 886 and 72.037 MPa, respectively. Surface roughness
assessment among test and control groups was statistically significant (p<0.05) with PMMA+ 1% PZnO
nanofiller showing more roughness than other two groups, but less than control group. There was no statistically
significant inhibition of fungal adhesion to PMMA sample surface both by test and control groups. The study
concludes that PMMA with incorporation of 0.5% PZnO as nanofiller showed optimum results by the virtue of
improved flexural strength and enhanced surface smoothness. Hence addition of green synthesized PZnO into
PMMA matrix can be considered to augment its mechanical properties.
Keywords : Polymethyl methacrylate;Green synthesized ZnO; Flexural Strength; Surface roughness
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
3
BIOGENIC SYNTHESIS OF ZNO NANOCRYSTAL BY ACALYPHA
INDICA LEAF EXTRACT AND CYTOTOXICITY ASSESSMENT
Mina Zare1, Keerthiraj Namratha1,2, Kullaiah Byrappa1,3 1Centre for Materials Science and Technology, University of Mysore, 570006 Mysuru, India
2 DOS in Earth Science, University of Mysore, 570006 Mysuru, India 3Adichunchanagiri University, B.G. Nagara 571448, Mandya District, India
Abstract : The development of efficient green chemistry methods for synthesis of metal oxide nano materials
with less toxicity has become a major focus of researchers. In this work, ZnO nano crystal was synthesized
using Acalypha indica (A. indica) leaf extract as size reducing agent and zinc nitrate as a precursor via the
hydrothermal method. Synthesized ZnO nanocrystals were characterized by powder X-ray diffraction (PXRD),
Fourier transform infrared (FTIR), dynamic light scattering (DLS), scanning electron microscopy (SEM) and
energy dispersive X-ray spectrophotometer (EDX) analysis. The PXRD pattern of ZnO nano materials reveals
the crystalline hexagonal wurtzite structure. The PXRD peaks matched with space group P63mc JCPDS file (No
36-1451). The DLS and SEM results demonstrate the size of nano particles was about 80 nm with nano flower
structure. FTIR outcomes show the Zn-O band and presence of the C-C, COOH, O-H, C-O functional groups of
the surfactant molecule. EDS analysis represents the elemental composition and purity of ZnO nano crystal.
The cytotoxic assessment was carried out by the hemolysis assay. The results illustrate the hemolysis
percentages were less than acceptable level and lesser than 3% even at higher concentration (up to 6mg/ml).
This study suggested that A. indica leaf extract treated ZnO nano flower led to its use in biological applications.
Keywords : ZnO nano particles; bio-hydrothermal method; Acalypha indica; cytotoxicity; hemolysis assay
SWIFT HEAVY ION IRRADIATION STUDIES ON SIGE HBTS AT
LOW TEMPERATURE
Vinayakprasanna N. Hegde
Department of Physics
Vidyavardhaka College of Engineering
Mysuru, 570002, India
Email: [email protected]
J. D. Cressler
School of Electrical and Computer
Engineering
Georgia Institute of Technology
Atlanta, GA, 30332-0250, USA
T. M. Pradeep and A. P. Gnana
Prakash
Department of Studies in Physics
University of Mysore
Manasagangotri, Mysuru-570006,
India
E-mail: [email protected]
mysore.ac.in
Abstract: Total dose effects of 50MeV lithium ion irradiation on 200GHz Silicon-Germanium hetero junction
bipolar transistors (SiGe HBT) in the dose ranging from 1 to 30Mrad were examined at low temperature (150K).
The HBTs were subjected to 50MeV lithium ion with typical beam current of 1pnA at 150K and 300K. The pre-
and post-irradiation dc electrical characteristics were studied. Low temperature irradiation results were
compared with room temperature (300K) results systematically in the same dose range. The radiation caused
generation-recombination trapped carriers increases the base current (IB) of HBTs and is proportional to total
dose. However, The HBTs irradiated at 150K show lesser degradation when compared to devices irradiated at
300K.
Keywords: SiGe HBT, ion irradiation, low temperature
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
4
ERVATAMIA CORONARIA SEED OIL FOR BIODIESEL
PRODUCTION: AN INVESTIGATIVE APPROACH VIA FATTY ACID
CHEMISTRY
Sangeeta D Benni, Ravindra S Munnolli
Research Centre, Department of Chemistry,
KLS VDR Institute of Technology, Haliyal
Belagavi - 590018, India
e-mail: [email protected]
Kariyappa S Katagi*, Smita G Mane, Nikhil Kadam and
Mahesh Akki
Department of Chemistry
Karnatak University’s Karnatak Science College
Dharwad - 580001, India
Abstract: The use of non-edible seed oils for biodiesel production is gaining much attention due to the great
demand of edible oils in food industries. The present research work deals with the optimization of
transesterification of Ervatamia coronaria seed oil (ECSO) with varying methanol to oil molar ratio in the range
from 4:1 to 8:1, using various alkaline catalysts such as NaOH, KOH, NaOCH3, KOCH3 in the concentration
range of 0.50-1.50% by weight, reaction temperature from 50–70oC and stirring rate from 350-800 rpm keeping
fixed reaction time of 100 min. The optimum set of transesterification reaction conditions of 0.90% NaOCH3 as
catalyst, methanol to oil molar ratio of 6:1, reaction temperature of 65oC and stirring rate of 650 rpm yielded
98.3% fatty acid methyl esters (FAMEs) of Ervatamia coronaria seed oil (ECME). The biodiesel properties
satisfy ASTM and EN standards.
Keywords: Fatty acid methyl ester, Ervatamia coronaria, non-edible seed oil, biodiesel, transesterification.
SYNTHESIS, CHARACTERIZATION AND DC CONDUCTIVITY
STUDIES OF SAMARIUM ACTIVATED LA2MOO6
NANOCOMPOSITES
K. R. Bhagya, K. R. Jyothi and N. M.
Nagabhushana
Department of Physics
Rao Bahadur Y Mahabaleswarappa
Engineering College
Ballari, 583104, India
Email: [email protected] and
H. Nagabhushana
Prof. C.N.R. Rao Centre for Advanced
Materials Research
Tumkur University, Tumkur, 572103,
India
Email: [email protected]
Vinayakprasanna N. Hegde
Department of Physics
Vidyavardhaka College of Engineering
Mysuru, 570002, India
Abstract: The samarium (Sm3+) doped lanthanum oxymolybdate (La2MoO6) nanocomposites (NCs) for a
different concentration was prepared by cost effective combustion route mix A.V. gel as a surfactant. The
present work reports on the powder X-ray diffraction for the crystallite size of prepared composites and
confirms the nanophase. The transmission electron microscope shows bumble-like shaped particles and
polycrystalline behavior. The scanning electron microscope shows the agglomerated circular shaped particles.
The optical energy band gap was calculated by diffused reflectance spectroscopy. DC electrical properties such
as Current-Voltage characteristics and conductivity are studied for different temperatures from 30 to 200 οC.
The present works discuss the basic properties as well as the effect of temperature on the electrical
characteristics of La2MoO6: Sm3+ NCs.
Keywords: Samarium; low temperature; PXRD; I-V characteristic; DC conductivity
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
5
ENHANCED PHOTOCATALYTIC DEGRADATION OF RHODAMINE
B USING POROUS TRICOBALT TETRAOXIDE NANOPARTICLES
Sujay Shekar G. C., Khaled Alkanad and Lokanath N. K.*
Department of Studies in Physics, Manasagangotri
University of Mysore
Mysuru, India - 570006
*E-mail: [email protected]
Abdo Hezam
Center of Materials Science and Technology, Vijana
Bhavana
University of Mysore
Mysuru, India - 570006
Abstract: Porous Co3O4 nanoparticles were synthesized using solution combustion method. Cobalt nitrate and
glycine were used as oxidizing agents and fuel respectively. The processed sample was calcinated at 600o C for
2 h to eliminate the impurities. We studied Structural, optical and morphological properties using X-ray
diffraction (XRD), Dynamic light scattering (DLS), Raman spectroscopy, Scanning electron microscope (SEM),
Energy dispersive X-ray analysis (EDAX) and Ultra violet-visible absorption spectroscopy. The XRD data
confirmed that Co3O4 nanoparticles are crystallized as face-centered cubic (Fd3m) structure. The microstructural
and particulate studies showed the presence of porous nanoparticles structure in the samples. The Co and O
atomic concentrations were estimated to be 39% and 61% respectively in the sample. The porous Co3O4
nanoparticles show two band gap energy 1.58 and 2.05 eV. Photocatalytic degradation characteristics of
Rhodamine B using Co3O4 nanoparticles were studied using Rhodamine B. Following 90 min of irradiation,
they are effectively reduced to 90% with Co3O4 nanoparticles under sunlight.
Keywords: Porous Co3O4 nanoparticles, Photocatalysis, Solution combustion approach.
A REVIEW ON SYNTHESIS AND PHARMACOLOGICAL
IMPORTANCE OF IMIDAZOLE DERIVATIVES
Dr. Asha M. S
Associate Professor, PG Department of Studies and
Research in Chemistry
St. Philomena's College (Autonomous), Mysore
Karnataka, India
Email: [email protected]
Rahul K Va #, Nivedh Lal a #, Alwin Thomas a #, Zabiulla a #,
Othbert Pintoa
aPG Department of Studies and Research in Chemistry,
St. Philomena's College (Autonomous), Mysore,
Karnataka, India.
Abstract: Imidazole is a 5-membered planar ring, which is soluble in water and other polar solvents. In the field
of five membered heterocyclic structures imidazole nucleus shows various properties. Structural frameworks
have been described as privileged structures and in particular, nitrogen containing heterocylic structures have
been reported to be associated with a wide range of biological activity.
Keywords: Heterocylic; Nitrogen compounds; Imidazole; Biological activity.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
6
SYNTHESIS OF METAL COMPLEXES WITH SCHIFF BASE FOR
DEGRADATION OF JANUS GREEN B DYE
Dr. Shaukath Ara Khanum
Associate Professor, Department of Chemistry
Yuvaraja’s College,University of Mysore, Mysore.
Karnataka, India.
Email: [email protected]
Zabiullaa, b , Fares Hezam Al-Ostoota, Pallavi H. Ma,
Nagesh Khadri M. Ja, Srikanth K. Ca aDepartment of Chemistry, Yuvaraja’s College
(Autonomous),
University of Mysore
Karnataka, India. bPG Department of Studies and Research in Chemistry
St. Philomena's College (Autonomous), Mysore,
Karnataka, India.
Abstract: A novel series of Pd(II), Pt(II), Hg(II) and Zn(II) complexes have been synthesized from the Schiff
base. Structural features were determined by analytical and spectral techniques like IR,1H NMR, elemental
analysis. The metal complexes were subjected to degradation of Janus Green B dye using prepared metal
complexes 6a-d. The catalytic degradation of Janus green B aqueous solution was investigated using the metal
complex 6a-d as catalysis in presence H2O2 by Vis-spectrophotometry. Degradation studies shows among the
prepared series of metal complexes 6a-d, mercury complex 6c shows maximum degradation of janus green B
dye as compared to the other metal complexes.
Keywords: Schiff base; Metal complexes; Janus green B; Degradation.
STUDIES ON EXTRACTION AND APPLICATIONS OF PRODIGIOSIN
FROM SERRATIA MARCESCENS
Madhumala Y1, Goutami Hadimani2, Savita Harke3 and Kaveri Lalaki4
Department of Biotechnology,
Basaveshwar Engineering College (A)
Bagalkot, India
Abstract: Prodigiosins, a natural red pigments is categorized by a common pyrrolylpyrromethane skeleton.It is
produced by Serratia marcescens. This pigment possesses the characteristics of anti-fungal, anti-cancer and
anti-proliferative activity. This prodigiosin pigment is a secondary metabolite produced by Gram -ve and Gram
+ve bacteria. The prodigiosin is produced by several bacteria. It was first characterized from Serratia
marcescens. The Serratia marcescens produces red pigment, which was tested for presence of prodigiosin by
presumptive colour test. Its adsorption spectra and quantification is carried out on nutrient agar medium. In the
acidified solution a pink colour and in the alkaline solution yellow colour indicate positive presumptive test for
prodigiosin pigment. In case of adsorption spectra; using spectrophotometer in the range between 300 to 700nm
the ethanolic acidified and alkalinized red pigment extract was tested. For the ethanolic acidified red pigment
extract the maximum absorbance was at 535nm while for ethanolic alkalinized red pigment extract the
absorbance was at 470nm.
Keywords: prodigiosin; Serratia marcescens; pigment
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Civil Engineering
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
7
AN STUDY OF FIBER REINFORCED LIGHT WEIGHT
FERROCEMENT BEAMS UNDER MONOTONIC AND REPEATED
LOADING
Dr.Naveen G.M.
Asst Professor, Dept. of civil Engineering
Govt. Engineering college, Chamarajanagara
India
Email: [email protected]
Dr. G.S.Suresh.
Professor & Dean(Rtd), Dept. of civil Engineering
NIE,Mysore
India
Email: [email protected]
Abstract: Ferrocement is a comprehensive technology and holds outstanding distinctive properties such as
virtuous tensile strength, developed durability, water stiffness, lightness, fire resistance, resistance to cracking,
cost reduced, time and substantial effective construction expertise. ACI Committee recommended that:
“Ferrocement is one of small reinforced concrete usually made-up of hydraulic cement grout reinforced by
thoroughly spaced coatings of unbroken and moderately small dimension wire mesh. Meshes are may be
metallic or any other appropriate constituents. The present work is concentrated on two major aspects, (i) Effect
of fibers on first crack & ultimate strength and (ii) Behavior of fibers reinforced ferrocement beams under
Monotonic & Repeated flexural loading. The first part of the present study has been focused on the effect of
fibers on First crack & Ultimate Strength with replacement of fibers by 0%, 0.5%, 1%&1.5% and second part of
the work focusing the behavior of fiber reinforced ferrocement beams under monotonic & repeated loads with
increased load. The results obtained from this work is expected to be useful in determining the strength and
behavior of fiber reinforced ferrocement beams subjected to similar types of forces and thus will help toward
designing ferrocement beams to withstand monotonic and Repeated flexural loading.
Keywords: Light weight ferrocement, fiber reinforce, wire mesh, monotonic & repeated loading.
FLOW MEASUREMENTS IN OPEN CHANNEL- A LITERATURE
REVIEW
Adarsh S
Research Scholar
Vidya Vikas Institute of Engineering and Technology,
Mysuru
Karnataka,India
Dr M N Shesha Prakash
Vidya Vikas Institute of Engineering and Technology,
Mysuru
Karnataka, India
Abstract: Flow measurement is an exciting and interesting topic in fluid mechanics which is extremely
important and of late is gaining much importance due to mismanagement and its over-usage. In particular, water
is an important and irrecoverable and irreplaceable resource, practically and absolutely required for
sustainability of all living beings. Even the ground water has been overused resulting in its scarcity and the
available quantity of water needs to be managed resourcefully which implies that the fluid needs to be
measured. Assuming water to be nearly an ideal fluid, most of the researchers have used various methods to
measure water in closed conduits and open channels. Most of it to be accurate is intrusive like weirs; notches
etc. and few are non-intrusive devices like measuring flumes like Partial-flumes, Venturi-flumes, standing-wave
flumes etc. The energy loss in these flow measuring devices is also relatively less. This paper is based on review
of essential literature based on flow measurements in open channel and documenting the significance of the
proposed research so that it could be a repository in the present field for researchers.
Keywords: Flow Measurement, Open channel flow, Flumes, Weirs.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
8
DAIRY WASTEWATER TREATMENT USING ORANGE PEELS AS
AN ADSORBENT
Adarsh S, Manasa M P, Sheshaprakash M N, ChandanBalu
UG Sudents
Vidya Vikas Institute of Engineering and Technology,Mysuru, Karnataka,India
Abstract: An experimental study is done for diary wastewater treatment using low cost adsorbent. The orange
peels are adsorbent used in the present Study, the effect of pH, time of contact, adsorbent dosage, in removal of
contaminants present in diary wastewater is evaluated. Experiments are conducted for different dosages using
water bath shaker with slow mixing Contact time. The present study examines the use of eco-friendly adsorbent
like Orange peels which is basically the discarded fruit wastes and is readily available in the market as a source
for the treatment of dairy waste-water for various parameters like pH, TDS, TSS, BOD, COD, sulphates,
Chlorides & Turbidity with different percentages of dosage of adsorbents so as to determine the efficiency &
degree of impurity removed from the waste-water. Results showed that the pH is reduced from 8.4 to 6.2, The
BOD & COD removal is observed to be 70.79% & 74.58% respectively. Turbidity and sulphates removal is
observed to be 35.53% and 47.61% respectively. There is a superficial increase in the chloride and total
suspended solids level by 36.47% and 80.66% respectively. Total dissolved solids removal is observed to be
86.86%. The concept of utilizing Orange peels has proved to optimize the quantity of waste in dairy wastewater
and an effective, Economical & a sustainable method to treat the dairy wastewater.
Keywords: Wastewater, Natural Low Cost Adsorbents, Adsorption, Contact time, Water bath shaker.
THE EFFECT OF BLENDED MIX (NAOH-NA2SIO3) OVER THE
COMPRESSIVE STRENGTH DEVELOPMENT OF GEOPOLYMER
CONCRETE USING M-SAND SUBJECTED TO ADVERSE
ENVIRONMENTS OF ACID AND SULPHATE
Saravanan S and Robin Davis P
Department of Civil Engineering,
National Institute of Technology Calicut, Kerala, India.
Abstract : This proposed experimental investigation is to obtain the performance of geopolymer concrete
(GPC) based on a binary mixture of pozzolonic materials viz, Fly Ash (FA) and Ground Granulated Blast
Furnace Slag (GGBFS) in 3 different ratios: 100% (FA), 100% (GGBFS) and 50=50 ratio of both and blended
with a mix of sodium silicate and sodium hydroxide solution. All the three different proportions were named as
GP-1, 2 &3 mixes respectively. All these mixes were designed to grade 30 (G30) as per IS 10262, with both
river sand (RS) and manufactured sand (MS) as fine aggregate and assessing their durability characteristics by
compressive load bearing properties upon subjecting FA/GGBFS and Ordinary Portland Cement (OPC)
concretes to be immersed in 5% (by weight) Sulphuric acid (H2 S04) and Sodium Sulphate (Na2SO4) for a
proposed curing period of 28 and 56 days. Standard 100mm cube specimens were involved for attaining the
same. All the proposed mix-es were compared with a conventional cement concrete mix (CM) involving both
(RS) and (MS). Also, the loss in weight percentage was determined for the various proposed GP and CM mixes,
by calculating the weight of specimens at pre and post attack levels of acid and sulphate curing. GP specimens
with M-sand showed better resistance to both acid and sulphate environment, exhibiting satisfactory
compression values post attack, which was increased by a factor of 46.3% and 16.4% when compared to
conventional specimens and GP specimens with river sand as fine aggregate respectively. Test results, prove
that GPC as a better option to OPC with respect to both durability and economical aspects in the longer run.
Keywords: Geopolymer Concrete (GPC), manufactured sand (MS), River sand (RS), Ground Granulated Blast
furnace slag (ggbfs), durability, acid and sul-phate attack.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
9
FATIGUE RELIABILITY EVALUATION OF RAILWAY STEEL
BRIDGES - A CRITICAL REVIEW
Rajeeth T. J.
Research scholar,
The National Institute of Engineering,
Mysore, India.
G. Ravi
Professor,
The National Institute of Engineering
Mysore, India.
Abstract: Assessment of the residual fatigue life of railway steel bridges is drawing the attention from the
railway departments and researchers all over the world due to the increase in quantity of such bridges attaining
their theoretical fatigue lives. In Indian scenario the railway steel bridges are still in service and some of them
are reached service life of 50 years. The government of India and department of railways are looking for the
fatigue life, inspection, repairing intervals and the capability to enhance the capacity of such bridges. This paper
elaborates the various theories, models and methods based on theory of probability, fatigue and fracture
mechanics approaches for evaluating the residual fatigue life of railway steel bridges.
Keywords: steel bridges, fatigue life, theory of probability, fatigue and fracture mechanics approaches
EXPERIMENTAL INVESTIGATION ON CONCRETEA USING
LATERITE SOIL AS PARTIAL REPLACEMENT TO SAND
Abhilash D. T
Assistant Professor, Department of
Civil Engineering Adichunchanagiri
Institute of Technology ,
Chikkamagaluru, India
Arjun B
Assistant Professor, Department of
Civil Engineering Adichunchanagiri
Institute of Technology
Chikkamagaluru, India
M. Rame Gowda
Professor and Head, Department of
Civil Engineering Adichunchanagiri
Institute of Technology,
Chikkamagaluru, India
Abstract: Development that regards sustainability has become a policy in the construction industry and often
the search for new, innovative and ecofriendly materials have been appreciated. Construction industry has been
growing in India for the past many years and so is the difficulty of getting materials. Research in replacement
techniques for concrete constituents has been successful since the materials replaced often conform to local
availability and economy. This paper presents an effort to highlight the use of Laterized concrete i.e. the
replacement of conventional sand by laterite soil for Normal Strength Concrete (NSC). For the purpose of the
experimental study, M30agrade ofaconcrete has been chosen. The percentages of replacements are 15%,
20%,a25% and 30% by weight of laterite soil. Tests were carriedaout for compressive strengthaand split tensile
strengthaof concrete for all substitution levels of fine aggregate at a curing period of 3 days, 7 days and 28 days.
The experimental work revealed that compression strength increases at later stages with usage of laterite soil.
Moreover the experimental work showed that 15% replacement is optimum for NSC i.e. M30 grade.
Keywords: Concrete, Compressive strength, Laterite, Sand
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
10
EARTHQUAKE DISASTER MITIGATION AND MANAGEMENT IN
MYSORE DISTRICT, KARNATAKA
Suresha. K.J1
Associate Professor,Department of
Civil Engineering, ATME College of
Engineering, Mysuru Karnataka,India
email : [email protected]
C.Srikantappa2
UGC-Emeritus Scientist, Department
of Earth Science , University of
Mysore, Manasagangotri,Mysuru
Karnataka,India
e-mail:[email protected]
Hema H.C3
Associate Professor, Department of
Civil Engineering , CMR Institute of
Technology, Bengaluru
Karnataka,India
email: [email protected]
Abstract: Peninsular Gneiss of Achaean age is the prominent rock type in Mysore District. Structural studies
indicate the presence of four major fracture/shear zones in the area. Among them, NW-SE trending Chitradurga
Mylonite Zone (CMZ) and N-S trending Kollegal Shear Zones (KSZ) are the structurally weak zones in the area.
These are steeply dipping, deep seated fracture zone along which crustal disturbance is recorded. Movement of
rocks along these fault/shear zones could be normal, reverse or thrust faulting which causes earthquakes. An
earthquake of intensity around 2.5 to 4.5 in the Richters scale is predicted along these shear zones in Mysore
district . So that buildings surrounding the shear zones should be constructed on a good concrete base and no
stones filled with mud be used for the basement and no bricks filled with mud be used for the walls. Suggestion
are recommended towards the reconstruction of old buildings constructed more than 100 years back like old city
market buildings and Lansdowne buildings with modern engineering structures, maintaining the existing
architecture . Hence there is a need in providing the temporary relocation for the old buildings.
Keywords: Earthquake, Disaster Mitigation , Management
GROUNDWATER QUALITY ASSESSMENT AROUND THE HEBBAL
LAKE BY CANADIAN COUNCIL OF MINISTERS OF THE
ENVIRONMENT WATER QUALITY INDEX (CCMEWQI)
SHILPA B S1*, GIRISH P2, SANJAY H G3, DISHA J3
1 Associate Professor, 2Assistant Professor, 3 UG Students
Department of Civil Engineering,
Vidyavardhaka College of Engineering, Gokulam III stage,
Mysuru, India
*Corresponding author e-mail: [email protected]
Abstract: The groundwater quality in an industrial area is one of the most important criterion to ascertain its
suitability for human consumption and other purposes. In this work, an attempt has been made to assess the
groundwater quality index around Hebbal lake, Hebbal industrial area, Mysore. The methodology adopted to
assess WQI is Canadian Council of Ministers of the Environment (CCME). The twelve samples were collected
for physico-chemical characteristics such as pH, Electrical conductivity, Turbidity, Alkalinity, Nitrate(NO3),
Chloride (Cl-), Sulphates (SO42-), phosphate (PO4
3-), Iron(Fe), Hardness, Fluoride, COD. The obtained results
were compared with Bureau of Indian Standard (BIS) limits. The results reveal that, parameters such as COD,
turbidity and hardness were high concentration of 90mg/L, 7 NTU and 300mg/L as CaCO3.According to
CCME, the lake water WQI for all stations varied between 49-56. which characterizes the groundwater as
marginal around Hebbal lake. The overall quality of the groundwater is fit for drinking purposes with primary
treatment. An effective groundwater management plan of artificial recharge is necessary to conserve valuable
groundwater resources around Hebbal Lake.
Keywords: Groundwater, Hebbal Lake, WQI and CCME
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
11
EVALUATING OPTIMUM TEMPERATURE AND MECHANICAL
PROPERTIES OF SELF COMPACTING CONCRETE FILLED STEEL
TUBES UNDER COMPRESSION
Athiq Ulla Khan
Department of Civil Engineering
Ghousia College of Engineering
Ramanagara, India
Dr. N.S Kumar
Department of Civil Engineering
Ghousia College of Engineering
Ramanagara, India
Abstract: This0paper0 presents the0effect of Elevated Temperature on0Mechanical properties 0of0Self-
Compacting Concrete (SCC) filled steel tube columns and to determine Optimum Temperature. The
mechanical0properties0like Compressive0Strength, Elastic Modulus and Thermal Elongation were0measured in
the temperature 0 range of 20oC to 800oC. The experiments are conducted to determine the stress-strain curve at
elevated temperature. The suitable formula is obtained from literature survey and verified with experimental
results. An empirical study in which separate steel and concrete properties data were collected and later
combined by considering confinement effect by using basic equation given by Mander,0J. B., Priestley, M. J.
N., and Park, R. (1984) and Wenjing Wang, Zhenyun Tang, Zhenbao0Li and Hua Ma (2016). Also
Grey0Relational0Analysis is carried0out to find the optimum temperature of SCC filled steel tubes. The
experimental and formula results shows variation of 10% to 15%.
Keywords: Optimum Temperature, Stress, Strain, Elastic Modulus, Grey Relational Analysis.
A STUDY ON THE PERFORMANCE OF 2D AND 3D GEOGRID
REINFORCED SAND UNDER CYCLIC LOADING
Avinash.N
Assistant Professor, Department of
Civil Engineering
PESCE, Mandya
Karnataka, India
e-mail: [email protected]
S. Gangadhara
2 Professors,Department of Civil
Engineering
UVCE, Bengaluru
Karnataka, India
Gangadhar
3 Post Graduate Student,Department
of Civil Engineering
UVCE, Bengaluru
Karnataka, India
Abstract: Soil reinforcement and soil confinement are the methods in ground improvement techniques, these
methods are commonly adopted in geotechnical engineering to stabilize the soil. In the present investigation
plain-geogrid acts as reinforcement material and geogrid with pipes act as confined reinforcement system to
enhance the load settlement behavior of the model square footing. Also studied the effect of spacing between
reinforced layers and number of geogrid (2D) reinforced layers and geogrid with PVC pipe(3D) reinforced
layers. Comparisons were made to know the effectiveness of inclusion of PVC pipe in geogrid layer on the
enhancement in the load settlement behavior of model footing on sand bed under repeated loading.
Keywords: Settlement ratio; Cyclicresistance ratio;S/B ratio; U/B ratio; Repeated loading; Geogrid; PVC pipes;
Reinforced Sand Bed.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
12
UTILIZATION OF METAKAOLIN AS A PARTIAL REPLACEMENT
BY CEMENT WITHSELF-COMPACTING CONCRETE
Manu Vijay
Associate Professor, Department of Civil Engineering,
ATME College, Mysuru,
Karnataka, India
E-mail: [email protected]
Naveen Kumar S M
Assistant Professor, Department of Civil Engineering,
Adichunchanagiri Institute of Technology, Chikkamagaluru
Karnataka, India.
E-mail: [email protected].
Abstract : In current research an attempt has been to study the fresh and hardened characteristics of SCC mixes
with partial substitute of cement by using industrial product consisting of Metakaolin(MK) through devlopM40
Grade self compacting concrete. To evaluate rheological properties of developed mixes is studied by way of trial
and error technique to judge as SCC via allowable rheological trails as per EFNARC Guidelines .To
develop conventional SCC and SCC Mixes with alternative of MK levels from 5-20% by way of weight of
cement after with extraordinary combinations of Superplasticizer (SP) with suitable water cement ratio. To take
a look at the hardened properties viz; compressive &splitting tensile strength of evolved SCC mixes in
laboratory The general cubes and cylinders have been casted and cured for different ages and tested in
the laboratory at the ages of 7,28 and 56 days respectively. Finally to compare outcomes of traditional SCC and
SCC mixes with MK.
Keywords: Self compacting concrete metkolin.
COMPARISON BETWEEN ANALYSIS OF A PORTAL FRAME BY E-
TABS AND MOMENT DISTRIBUTION METHOD
Vinod B.R
Assistant Professor, Department of
Civil Engineering,
BMS Institute of Technology and
Management
Bengaluru, India
Shobha R
Assistant Professor, Department of
Civil Engineering,
BMS Institute of Technology and
Management
Bengaluru, India
Yaksha V
UG student, Department of Civil
Engineering,
BMS Institute of Technology and
Management
Bengaluru, India
Shubhashree G R
UG student, Department of Civil
Engineering,
BMS Institute of Technology and
Management
Bengaluru, India
Anusha P Prabhu
UG student, Department of Civil Engineering,
BMS Institute of Technology and Management
Bengaluru, India
Abstract: Portal frames are widely used in many civil engineering structures. Analysing these portal frames is a
necessary but tedious and time-consuming task. Among the conventional methods, the moment distribution
method is one of the simplest and easiest methods. ETABS, which is a modern method, on the other hand is
much faster and less tedious. In the present study, a comparative analysis of the moment distribution method and
ETABS is carried out. The results obtained from both these methods are matched to tally their similarities and
differences. In the present study, results obtained from ETABS and moment distribution method are compared.
The maximum value obtained by Moment distribution method is 4.46kN-m and from ETABS is 4.4156kN-m.
Keywords: Structural Analysis, portal frame, Moment distribution method, ETABS
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
13
IDENTIFICATION OF GROUNDWATER IN HARD GNEISS TERRAIN
USING REMOTE SENSING AND GIS
Sharanya Ram S. R., Sanath Kumar K. R., Akash Kumar A., Sumant Kumar Khan
Department of Civil Engineering, Nagarjuna College of Engineering and Technology,
Mudugurki Village,Bangalore Karnataka, India
[email protected], [email protected]
Abstract: Groundwater is one of the major sources of water in the outskirts of Bengaluru as the city progresses
due to the developmental activities the demand for water is also increasing. Groundwater is a portable form of
water that can be used without treatment for domestic purposes. Identification of aquifer is a complicated task
that can be executed by integrating various thematic maps such as drainage map, geomorphology map, slope
map, aspect map, land-use/land cover map and validated with in-situ Borehole data by using RS and GIS.
Devanahalli taluk is a severely drought-affected area in the recent past with hard Gneissose terrain which again
does not hold good for the groundwater. Lineaments are another geological structure that can yield a good
quantity of water.
Devanahalli taluk spread over 450 sq km area river Arkavathi and the Dakshina Pinakini are the two rivers that
flow from north to south of the district, have the 4th order drainage and have Semi dendritic to dendritic
drainage pattern. Surface water is stored in 134 tanks in Devanahalli Taluk which acts as recharge sources for
GW and also serves for irrigation. 128 number of lineaments are present in the Devanahalli taluk which holds
good Source of Groundwater. Overly analysis of nine layers are utilized to find the potential zones of
Groundwater.
Keywords: Aquifer, Water, Drought Management, Gneiss terrain.
“COMPARATIVE STUDY ON BEHAVIOUR OF RC FRAMED
BUILDINGS WITH INFILLS MODELLED USING FEMA 356 & IS:
1893”
Mr. Puneeth K
Asst.Professor, Department of Civil Engineering
ATMECE
Mysore, India
Abstract: Infilled frames have continued the interest of researchers for a long period but they have been unable
to shape a place in the codes of practices of many countries. Masonry wall imparts a sizeable amount of stiffness
and strength to a building frame and used in the buildings for architectural or aesthetic reasons. Infills are
normally considered as a non-structural constituent and its presence has been ignored by many engineers. The
performance of the structure can be greatly enhanced by the increase of strength arising from the masonry infill.
Infill frames are extensively constructed with brick masonry. The primary objective of this study is to review the
performance of reinforced concrete frame structures with and without the presence of masonry infills modeled
using FEMA 356 and IS: 1893 method. ETABS software is used for the behavioral study of all the RC frame
models.
Keywords: Equivalent diagonal strut, masonry infilled frame, seismic.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
14
COMPARITIVE STUDY AND RATE ANALYSIS OF A NON-RATED
RESIDENTIAL BUILDING AND A SVA-GRIHA RATED GREEN
BUILDING
Srinidhi S.V
Construction technology and
management
VIT University , Vellore,India.
Mr Syed Tufael
Senior Planning Engineer
The Prestige Group Bengaluru,India.
Dr S K Sekar
Senior Proffesor
VIT University ,Vellore,India
Abstract: In today’s world the construction industry consumes a huge amount of energy. Due to the extreme
use, the non-renewable resources are getting constantly depleted. Construction industry accounts for emission of
large quantity of greenhouse gases which leads to climate change and depletion of the ozone layer. This adverse
effect on the environment triggers the need for sustainable construction techniques which reduces the total
embodied energy and carbon emissions. Any green building works on the principles like sustainable site plan
which makes sure that the site is planned taking the site topography and local climatic conditions into
consideration, usage of green materials and resources which have the least embodied energy, water conservation
techniques to use as less water as possible, energy conservation by making use of passive design and using solar
energy and maintaining good indoor air quality by using low-VOC paints and other less hazardous materials in
construction. The study focused on a conventional building’s cost that was compared with that of the Green
building of same site area after including all the Green criteria recommended by SVA GRIHA (Small Versatile
Affordable Green Rating for Integrated Habitat Assessment) council. It was found that the total construction
cost of the Green building after incorporating 14 criteria recommended by the council for a five-star rating was
9.05% more than that of the conventional building. Also, by performing the Cost Benefit analysis the payback
period of the green building was found to be 6.67 years. ECOTECT and DIALUX are used for the effective
design of fenestrations and artificial lighting system respectively.
Keywords: Green building, SVA-Griha, Portland Pozzolona Cement , Porotherm blocks.
EXPERIMENTAL STUDY ON STRENGTH AND DURABILITY
CHARACTERISTICS OF FOAM CONCRETE BY USING SYNTHETIC
FOAMING AGENT
1Shashank P, 2Srivathsa H U
1,2Department of Civil Engineering
ATMECE
Mysuru ,India
[email protected], [email protected]
Abstract: Nowadays, builders across the world are paying increasing attention to use eco-friendly material as
replacement for conventional building materials. The adverse development in construction field has initiated for
using light weight concrete with good characteristics. Foam concrete is a mixture of cement, fine sand
(substituted by fly ash), water and predetermined volume of foam. By diluting the foam in agent with water and
aerated to form foam. Cement paste get hardens once it sticks with foam. Foaming agents may be synthetic or
protein based foaming agents. Foaming agents which comes from animal proteins such as blood, bones of cows,
pigs and other animal carcasses are classified under protein based. An attempt has been made to determine the
strength and durability characteristics of M20 grade Foam concrete by using synthetic foaming agent.
Keywords: Foam concrete, Foaming agent, Compressive strength, Durability.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
15
SHEAR BEHAVIOR OF COMPACTED CHINA CLAY – SAND
MIXTURES
Jyothi D N
Phd Scholar
NIE, Mysore
Karnataka, India
Dr.H S Prasanna
Professor
NIE, Mysore
Karnataka, India
Abstract: In geotechnical engineering practice, determining and understanding of engineering properties of
fine grained soils mainly silt and clays (swelling –Montmorillonite, non-swelling –Kaolinite and combination of
K-M soils) is of vital importance for all types of works. The development of the solutions to the intricate
problem related to the characteristics of the clayey soils lies in understanding the nature of clay minerals, index
properties, volume change and shear parameters of the clayey soil. The engineering characteristics of fine-
grained soils are depending upon changes in moisture content of the soils .They are susceptible to changes in
applied load, type of chemical behaviour in the pore medium, freezing and thawing conditions due to
temperature.
This work is an attempt to investigate the shear parameters of Kaolinite-sand mixtures compacted at optimum
moisture content (OMC) to maximum dry density (MDD). These properties were then correlated with each
other.
Keywords: China clay Compaction Shear parameter
BIOETHANOL PRODUCTION FROM WASTE BANANA PEEL
Madhumala Y1 ,Vijayalaxmi Naganuri2 ,Megha Mathad 3
Department of Biotechnology, Basaveshwar Engineering College(A)
BEC Bagalkot
India
Abstract: The resources od fossil fuels or the conventional fuels are now decreasing .To meet the needs of the
fuel an altenative source is required which can be accomplished by bioethanol.The production of Bioethanol as a
renewable form of energy is produced by using banana peel.The lignocellulosic agricultural waste has a
potential to produce Bioethanol. The vital steps in bioethanol production are pretreatment and hydrolysis. Both
the techniques are applied. Hydrolysis technique was followed by using H2SO4.S. Cerevisiae is the active strain
used for conversion of sugar to bioethanol by the process of fermentation. The percentage of bioethanol was
detected by absorption spectra using potassium dichromate method at 600nm. Production of bioethanol is
mainly depending upon pretreatment step. Banana peels are the waste which are easily available during all the
seasons and Bagalkot is found to have many farms with banana plantations and its waste is easily available and
is economically feasible.
Keywords: Banana peels,Bioethanol,Fermentation,Hydrolysis,Pretreatment,S.Cerevisiae.
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Computer Science &
Engineering
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
16
ADVANCEMENT IN OBJECT TRACKING MODELS AND
TECHNIQUES
Sushma Jaiswal1 Tarun Jaiswal2 1Guru Ghasidas Central University, Bilaspur (C.G.) - India
2Department of Computer Applications, NIT Raipur, Raipur, India
Abstract : Object tracking is the most attractive field of investigation also game changer for finding the feature
intensities. Object tracking shows a vital protagonist in voluminous applications such as Computer/Machine
Vision, Artificial Intelligence, detection, classification, HCI, gesture/activity/Face recognition, investigation,
transportation/traffic controlling etc. this paper ostentatious the comprehensive study of numerous object
tracking procedures under diverse conservational circumstances and acknowledged well-organized procedure in
numerous kinds of tracking. In this paper tracking on object considered on Colour, shapes, texture, object of
interest in single or multiple object detection, motion direction and calculated in multiple frames. Newly,
machine/deep learning methods variety a speedy evolvement from demonstration learning to network
demonstrating due to the expansion of machine/deep-learning scheme and benchmark-setup. Through
investigational assessment of tracking outcomes in the standards in whole and by assembly, they lastly
demonstration the success of deep-networks for tracking active in distinct comportments, and associate the
benefits of these networks and their healthiness under distinct tracking circumstances. Furthermore, they
examine the confines of modern approaches, and enticement some valuable decisions to expedite the
examination of novel directions for multi-object tracking.
Keywords: object-tracking, ATOM, SiamFC SiamRPN, RTINet.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
17
OPTIMIZED K-NN CLASSIFIER FOR ACHIEVING PERSONALIZED
RECOMMENDER SYSTEM USING PRODUCT REVIEWS DATA Sasikala P
Department of Computer science
Mother Teresa Women’s University
Kodaikanal, India.
Mary Immaculate Sheela
Pentecost University College
Accra, Ghana.
Abstract : The reviews of the customers play a significant role to determine the purchase behavior in case of
online shopping since the buyers generally prefer to buy a product depending on the reviews given by other
customers. These reviews usually reflect the sentiments of a customer and have a considerable impact on the
sale of the products. Therefore, the extraction of specific features of the products by assessing the reviews of the
products pulls in a lot of trials and human intelligence. Similarly, the recommendation of products to the users is
a trivial task because of different opinions. In this paper, we proposes an optimized k-NN classifiers which
efficiently recommend the best products to users without compromising the accuracy. The user reviews are
collected from Amazon products and then preprocessing techniques are applied. Without any defined prior
knowledge, the features, as inputs given to the k-NN classifier for better classification purpose. Better the
classifier, better the recommendation knowledge. Experimental results states the recommendation accuracy of k-
NN compared with existing, Logistic Regression model and SVM classifiers. Thus, the use of semantic
similarity accordingly improves the accuracy of both ends (Users and products).
Keywords : k-NN classifier, opinion mining, sentiment analysis, text preprocessing
SURVEY ON SECURITY ISSUES AND CHALLENGES FOR
UBIQUITOUS COMPUTING
Geetha Pawar,
Department of Computer Science and Engineering,
Research Scholar in PDA College of Engineering,
India, Assistant Professor in Rajiv Gandhi Institute of Technology,
Bengaluru, India,
Dr Jayashree Agarkhed, professor
Department of Computer Science and Engineering,
PDA College of Engineering, Kalaburagi, India.
Anish Motilal S. Nayak
Product Engineering, Epsilon,
Bengaluru, India.
Abstract: The user of a device, for example, is no longer necessarily care, whose interests is the device will
attempt to safeguard. Authentication and access control security mechanisms are not always suitable for
ubiquitous computing paradigm. Authentication and access control security are effective if the system knows in
advance which users and which devices are going to access and their access rights are. Authentication,
authorization, and accountable even concepts as fundamental as ownership require thorough rethinking. This
paper presented the survey on security for ubiquitous computing including major security problems in
ubiquitous computing. And also considering the security issues and challenges
Keywords: ubiquitous computing, ubicomp, security, pervasive computing
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
18
SECURING TEXTUAL AND IMAGE DATA ON CLOUD USING
SEARCHABLE ENCRYPTION
Sushmitha Baliga B
Department of Computer Science and Engineering
Manipal Institute of Technology, Manipal Academy of Higher Education
Manipal, Karnataka, India - 576101 [email protected]
Ratnakar Medepalli
Department of Computer Science and Engineering
Manipal Institute of Technology, Manipal Academy of Higher
Education
Manipal, Karnataka, India - 576101
*Muralikrishna S N
Department of Computer Science and Engineering
Manipal Institute of Technology, Manipal Academy of Higher
Education
Manipal, Karnataka, India - 576101 [email protected]
Abstract: The number of people storing their data on the cloud has increased significantly in the past decade
due to the advancement in technology. Thus, with an increase in the amount of data on their servers, cloud
service providers have begun outsourcing their data to remote service providers in order to save costs. However,
data security becomes an important issue in such cases. It is, therefore, necessary that cloud service providers
encrypt their data locally before storing them on remote servers. Searchable symmetric encryption is a technique
which facilitates searching and retrieval of data that has been stored in an encrypted form on a remote server,
without having to decrypt it. In this paper, we tackle the problem of similarity search over large scale textual and
image data using searchable encryption with feature-based and efficient indexing mechanism. This helps against
adaptive chosen keyword attacks. The proposed method shows a promising result in terms of recall and speed.
Keywords: cloud, searchable encryption, remote server, forward privacy, decryption
ANALYZING DIGITAL FOOTPRINTS FOR PREDICTING
PERSONALITY TRAITS OF SOCIAL MEDIA USERS
Sameeksha Tandon Computer Science and Engineering Department
Institute of Engineering and Technology
Lucknow, India
Manish Ahuja
UCD School of Computer Science
University College Dublin
Dublin, Ireland
Abstract: With evolving technologies over the past years, it has become possible to collect data about what
people do online: what they browse, what they post on their social networking profiles, what they follow, their
comments, their photos, and even their friends. All these activities can be aggregated to determine personality
profile of a person. This personality profile can be used for: targeting advertisements to the user, presenting
evidence about the user in legal proceedings, analyzing the personality of a candidate for their recruitment, etc.
In this paper, we first present a review of several previous research works, which had attempted to perform
various tasks based on a database of online textual content produced by people from particular regions. We have
then demonstrated our methodology of using the tweets made by a person in order to identify their possible
personality traits. This technique has extensive application in the field of recruitment. Using this system,
recruiters can judge the personality of a candidate (negative, introvert, joyful, etc.), given a sufficient number of
their tweets, to be able to fully understand what the candidate will bring to their company.
Keywords: Emotion classification; Logistic Regression; Naïve Bayes Classifier; Natural Language Processing;
Personality analysis; Sentiment analysis.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
19
TECHNIQUES FOR IDENTIFICATION AND CLASSIFICATION OF
FLOWERS USING IMAGE PROCESSING AND COMPUTER VISION:
A SURVEY
Abstract: Recognition is one of the essential tasks of pattern recognition which deals with the classification of
objects into various categories. Image recognition is one of the fundamental steps in image processing useful for
the development of various computer vision applications. In this paper, a comprehensive survey of various
flower species recognition methods using image processing is presented. The existing techniques use color,
texture, and shape features. The classifiers such as neural networks (NN), Fuzzyy Logic, support vector
machines (SVM), K-Nearest Neighbor (KNN) model, Decision trees, etc. are employed. When compared to
statistical features, it was observed that texture features gave optimal results.
Keywords:Flowers classification, Image Processing, Feature Extraction, Machine Learning, TensorFlow.
A SURVEY ON REAL TIME TRAFFIC LIGHT CONTROL USING
IMAGE PROCESSING
Impana Appaji1, Akkamahadevi C J2, Brundha S S3, Geetha4, Pooja K5
1 Assistant Professor,
Computer Science & Engineering,
Academy for Technical and Management Excellence college of Engineering,
Mysore,
Karnataka, India.
2345 UG students,
Department of Computer Science & Engineering,
Academy for Technical and Management Excellence college of Engineering,
Mysore, Karnataka, India.
Abstract: As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of
advanced technology and equipment to improve the state-of-the-art of traffic control. Traffic problems
nowadays are increasing because of the growing number of vehicles and the limited resources provided by
current infrastructures. The simplest way for controlling a traffic light uses timer for each phase. Another way is
to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for
controlling the traffic light by image processing. The system will detect vehicles through images instead of
using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will
capture image sequences. The image sequence will then be analyzed using digital image processing for vehicle
detection, and according to traffic conditions on the road traffic light can be controlled.
Keywords: Intelligent Transportation System (ITS), Traffic light, Image Processing, edge detection.
Manjunath S. Gabasavalagi1*
1Assistant Professor, Department of Computer Science and
Engineering,
Biluru Gurubasava Mahaswamiji Institute of Technology,
Mudhol, Karnataka, India
Dr. Mallikarjun M. Kodabagi2 2Professor, School of C&IT,
Reva University,
Bangalore, Karnataka, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
20
A STUDY ON LEARNING SPATIAL AND TEMPORAL EXTENTS OF
HUMAN ACTIONS FOR ACTION DETECTION
Impana Appaji1, Arpitha S2, Navya S3, Sudha M P4, Vaishnavi C S5
1 Assistant Professor,
Computer Science & Engineering,
Academy for Technical and Management Excellence college of Engineering,
Mysore,
Karnataka, India.
2345 UG students,
Department of Computer Science & Engineering,
Academy for Technical and Management Excellence college of Engineering,
Mysore,
Karnataka, India.
Abstract: For the problem of action detection, most existing methods require that relevant portions of the action
of interest in training videos have been manually annotated with bounding boxes. Some recent works tried to
avoid tedious manual annotation, and proposed to automatically identify the relevant portions in training videos.
However, these methods only concerned the identification in either spatial or temporal domain, and may get
irrelevant contents from another domain. These irrelevant contents are usually undesirable in the training phase,
which will lead to a degradation of the detection performance. This paper advances prior work by proposing a
joint learning framework to simultaneously identify the spatial and temporal extents of the action of interest in
training videos.
Keywords: Action localization, action recognition, discriminative latent variable model, split-and-merge.
NEWTON'S GREGORY INTERPOLATION PRINCIPLE TO IDENTIFY
AND PREDICT THE UNKNOWN VALUES FROM ITEM-SET DATA
OF THE SUPER MARKET.
Mohanesh B M
Computer Science and Engineering.
A.T.M.ECE
Mysore, India
Abstract: The objective of the study is to identify unknown values and predict the values from the given
supermarket data. By the concept of interpolation unknown values are identified for a given function in a set of
values defined using functions. Using the concept of interpolation there is an ability to predict number of people
purchasing the products from the given set of data. Newton Gregory forward interpolation formula identifies the
expenditure details of the set of people using the beginning of the data given. Newton Gregory backward
interpolation formula identifies the expenditure details of the set of people using the end part of the data given.
Newton's divided difference formula predicts the possible number of people purchasing the particular product at
any point of the given value. Real time data was taken, and the tests were conducted it showed the expected
result, These results predicted expenditure with its number of people respectively. More test cases were
conducted which predicted the number of people purchasing a product at particular amount.
Keywords: Super Market; interpolation; backword interpolation; forward interpolation.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
21
REVIEW ON ENHANCED ENERGY EFFICIENT ROUTING
PROTOCOL OF WSN AND USE OF IOT
Saijshree Srivastava
Department of Information Technology and Computer
Application
Madan Mohan Malaviya University of Technology
Gorakhpur, India
Email: [email protected]
Shiva Prakash
Department of Information Technology and Computer
Application
Madan Mohan Malaviya University of Technology
Gorakhpur, India
Email:[email protected]
Abstract: Wireless Sensor Network (WSN) is a highly resource-restricted network class known to be one of the
main issues for energy consumption. In many commercialized industrial automation processes and other real-
life applications, wireless sensor technology has an essential role to play. The WSN protocol is especially
appropriate for harsh environmental applications in which the implementation in the battlefield, in a toxic
chemical plant, cloud environment, fog computing, IoT but in a high thermal environment of network
infrastructure is difficult and/or almost impossible. In modern years, WSNs have been proposing a wide variety
of Energy-Efficient Routing Protocols based on network (NW) organization as well as protocols. This paper
describes various WSN routing protocols for energy efficiency. We give a comparative analysis of the Energy
Efficient Routing Protocol of WSN. We also describe and comparing enhanced WSN routing protocols that are
used in cloud computing, fog computing as well as IoT.
Keywords: WSN, Energy Efficiency, Energy Efficiency Routing Protocols, Cloud Computing, Fog Computing,
IoT.
TRAFFIC VIOLATION MANAGEMENT SYSTEM-A REVIEW PAPER
Mohith M, Rakshitha R Gowda, Ramitha R, Ramya Bhat
Information Science of Engineering
Vidyavardhaka College of Engineering Mysore, India
[email protected], [email protected],
[email protected], [email protected]
Abstract: As the traffic is uncontrollably increasing in the cities and capitals, the main aspect which we have to
look on to, is the threat of accidents due to jumping of the traffic signals or not following the rules. This survey
paper will give us some methods which could be combined and implemented in order to obtain a automated
process of detecting traffic violation. The methods which could be used is using laser and LDR along with the
aurdino board for the hardware part and then image processing could be used to extract the license plate of the
vehicle which violates the traffic rules from the image captured by the camera. GSM could be used to send e-
challan message to the owner automatically. This paper will suggests methods which could be helpful in easing
the work of police and also to prevent middle man intervention.
Keywords: Arduino board, LDR, Image processing, GSM
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
22
STUDY ON NETWORK SIMULATION USING CISCO PACKET
TRACER
Anil Kumar B H1, Kavyashree E D2
Assistant Professor,
Department of Computer Science and Engineering
ATME College of Engineering Mysuru
Mysuru, India
[email protected], [email protected]
Abstract: It’s a network that connects us. Network system continues to evolve in complexity. New services are
being developed everyday to take the advantage of the network. Educational tools are emerging to facilitate
teaching and learning about networking technology. Cisco Packet tracer is one such tool helps in better
understanding about networking and its working is similar to real time. Its simulation based learning
environment helps learners to critical thinking, troubleshooting network problems, Creative and decision
making. Cisco Packet tracer helps to build “virtual network world”. Packet tracer provides visualization,
simulation, assessment, visualization, and collaboration capabilities. This paper briefs on address class, network
and host portion, types of cables used for connecting network, packet transformation, modes of Cisco router,
services and IP configuration.
Keywords: Simulation, Network, Packet Tracer, Command Line interface, Router
IMPLICATIONS OF IOT IN AGRICULTURE AND HEALTHCARE
SECTORS – A CASE STUDY
Prakasha Raje Urs M
Dept. of CS, MSCW (Autonomous)
Mysore, Karnataka, India
Santhosh Kumar B N
Dept. of CS, MSCW (Autonomous)
Mysore, Karnataka, India
Thenarasi V
Dept. of CS, GFGC, Siddharthanagara
Mysore, Karnataka, India
Sripavithra C K
Dept. of CS, MSCW (Autonomous)
Mysore, Karnataka, India
Abstract: Our world is being transformed into a data driven world. You can access “anything, anytime,
anywhere", with the help of IoT. This is simply possible through the numerous technological advancements in
the fields of Telecommunication and Electronics. IoT has revolutionized the Healthcare and Agriculture sectors.
It leads to the modern, sophisticated and smart systems in the fields of Healthcare and Agriculture. Agriculture
is the backbone of our country. It needs to be more production-oriented. With the immense increase in the
creation and usage of newer IoT applications and related devices, IoT has given us an unmatched convenience
in both the sectors. And moreover, they also have a significant impact in the human lives and in the
environment. This paper provides a comprehensive study in the fields of agriculture and healthcare where IoT
has been implemented and also reflects the impacts of IoT in both the sectors to uplift the lives of the mankind.
Keywords: data driven;advancements;revolutionized;backbone;convenience;significant;impact
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
23
CLASSIFICATION OF E-TEXTBOOKS BASED ON TABLE OF
CONTENTS USING MACHINE LEARNING APPROACHES
Prathibha R. J, Pavan kumar S, Shishira G Hegde
Department of Information Science and Engineering
JSS Science and Technology University
Mysuru, India
Abstract: Every well documented files or textbooks contain “Table of Contents” (ToC). Categorization of such
documents using only the table of contents leads to elimination of processing of entire e-textbook and also
reduces the time taken to identify the index terms (most significant and frequent terms in the document) that are
present in the documents. Identifying the starting and ending page of ToC is a challenging task. This paper
proposes a model to categorize the given document which is in Portable Document Format (pdf) using only the
table of contents. The dataset containing 108 documents is used for both training and testing the proposed
model. The supervised machine learning approaches like Gaussian Naïve Bayes, Support Vector Machine,
Decision Tree, K-Nearest Neighbor are applied on table of contents of this dataset and obtained the accuracies
of 93.87%, 83.67%, 73.45% and 82.71% respectively. The proposed system is also evaluated with the statistical
measures like precision, recall and F-measure.
Keywords: Table of Content, Machine Learning Approaches, Portable Document Format.
A STUDY ON CYBER SECURITY FOR SOVEREIGN VEHICLES
Impana Appaji1, P Raviraj2
1Research Scholar, GSSSIETW, Mysuru and Asst.Prof., ATMECE, Mysuru, INDIA.
Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, INDIA.
[email protected] 2Professor, Dept.of CSE,GSSSIETW, Mysuru, INDIA.
Abstract: As the technology develops, connectivity with the physical world is gradually increasing in the cyber
world, and city infrastructure become smarter due to the increase of hyper-connection technology. Research on
autonomous vehicle technology for freedom of movement has been exploding. Attackers are making various
attempts to hack autonomous vehicles as it becomes new targets. In the past few years, various attacks on
autonomous vehicles have been studied, and at the same time, research on the security aspects of securing
autonomous vehicles has been conducted continuously. Attacks on autonomous vehicles can cause direct
physical harm to a person. Autonomous vehicles are important not only for communication systems inside cars,
but also for automotive and external communication. However, few studies have systematically organized
studies of attacks and defenses against autonomous vehicles. The research on the existing autonomous vehicle
attacks showed that the direction of the autonomous vehicle attack is mainly the attack on the communication
method of communicating with autonomous vehicles such as V2X from the elements of the existing simple
autonomous vehicles. As communication technologies such as 5G evolve, future attacks on autonomous
vehicles will continue to be attacked on 5G-related communications.
Keywords: Autonomous vehicles, Self-Driving cars, Automatic control system, Autonomous driving systems
components, V2X communications, Cyber risk
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
24
HETEROGENOUS TERNARY TREE BASED DYNAMIC MULTI HOP
(HTTBDMH)-LEACH ENERGY EFFICIENT ROUTING PROTOCOLS
(EERP) IN WSN’S
Mr.Shivashankara .N., Dr.Hanumanthappa .J
Guest Faculty, Associate Professor,
Department of studeies in Computer Science,
University of Mysore,
Mysuru, Karnataka, India
[email protected],[email protected]
Dr.S.P.ShivaPrakash
Associate Professor
Department of Information Science and Engineering,
JSS Science and Technology University (Formerly SJCE),
Mysusu, Karnataka, India
Abstract: Latest advances in Energy Efficient Routing Protocols (EERP’s) have enlarged the popularity and
success of Wireless Sensor Network (WSN). This work focus on implementing Ternary-Tree Based Dynamic
Multi Hop (TTBDMH) Local Energy Aware Cluster Head (LEACH) EERP in WSN. Segregating and
Contradicting the performance metrics of TTBEERP (Ternary Tree based Energy Efficient Routing Protocol
such as Packet Loss Rate (PLR), Throughput (Thr) and Dead Node Rate (DNR) are performed. The result shows
a best case (bc), average case (ac) and worst case (wc) time complexities. This research work mainly focuses on
HDMHWSN where all WSN’s have the different capabilities and we have studied that homogeneous WSN’s for
dynamic EEWSN’s have poor basic performance limits and scalability. We can simulate HTTBDMH-LEACH
RP for WSN’s using either greedy approach or by using divide and conquer approach. But in this approach we
have simulated using greedy technique.
Keywords: dynamic; energy efficient; delay; heterogeneous; homogeneous; multi-hop; ternary tree; throughput;
WSN’s
LOCAL NEIGHBOURHOOD INTENSITY PATTERN FEATURE
EXTRACTOR WITH ϴ(1) TIME COMPLEXITY USING PARALLEL
PROCESSING
Ashwath Rao Badanidiyoor, K Gopalakrishna Kini Naravi, Rakesh Narayan Kundar, K Raviraju Prasanna
Department of Computer Science and Engineering
Manipal Institute of Technology,
Manipal Academy of Higher Education
Manipal, Karnataka, India – 576104
rakeshkundar1999
ravirajbhat2070}@gmail.com
Abstract: The Local Neighbourhood Intensity Pattern (LNIP) is a relatively new feature vector which, unlikely
most other patterns, also takes into account the effect of the neighbourhood of pixels adjacent to the center pixel,
which would find many applications considering its effectiveness. Hence, this paper proposes using GPUs to
parallelize the calculation of the Local Neighbourhood Intensity pattern vectors and get an efficiency of ϴ (1),
thus rendering the time for calculation independent of the size of the image. The implementation has been tested
on LISS medical images.
Keywords: Local Neighbourhood Intensity Pattern; Image Processing speed up; Graphical Processing Unit;
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
25
DETECTION OF MALICIOUS NETWORK TRAFFIC USING
MACHINE LEARNING
[email protected], [email protected], [email protected]
Abstract: Several types of models have been developed over the years for detecting malicious
programs/softwares. Most of these models however, perform static analysis in which the code under inspection
is semantically matched with a predefined malware template. Due to camouflage and different obfuscation
techniques used in creating malware, many malware goes undetected. In order to build a more efficient malware
detection model, in this paper, we propose a model that can be used to detect malicious activity at the network
level. The network activity of a system was analyzed and based on specific patterns and activities, the traffic was
classified as being benign or malicious. In our model, we use an ensemble of three gradient boosting models.
Ensembling was done in such a way that maximum weightage was given to the boosting model that has the best
performance individually and subsequently the other boosting models were given appropriate weightage. In
order to determine the weightages to be given, a logistic regression model was used with the outputs of the
individual boosting models used as features to be given to the regression model. Our proposed model achieves a
high classification accuracy (99.98%) and a minimal number of false negatives (0.012%).
Keywords: malware, anomaly detection, gradient boosting, ensemble, feature selection
QOS BASED ROUTING PROTOCOL FOR MULTIMEDIA TRAFFIC IN
MANET
Sandhya S V *1 Dr. S M Joshi *2
* Asst.Professor Dept. Of Computer Science & Engg.,
SDMCollege of Engg. & Technology, VTU, Dharwad, India
sandhya.sv @gmail.com
* Professor, Dept. Of Computer Science & Engg.,
SDMCollege of Engg. & Technology, VTU, Dharwad,
India.2
Abstract: In this paper, we introduce an AODV protocol for routing packets in MANET which is different from
original. In the prior protocol the issues like stability of the route path, the factor of bandwidth size was not
mainly concentrated. But the main advantage of this protocol is that it discovers highly stable route path from
peer to peer nodes. In this proposed protocol, the changes are made in Hello and RREQ packet of the original
form. Here we have considered initiating time of the packet when transaction starts, route stability factor and
bandwidth size, which are mainly the concern of QoS metrics. The sender sends the Route REQ (RREQ)
message with required bandwidth to the recipient node and gets Route REP from destination node. Here we
have used NS3.26 tool for investigating the performance of proposed routing protocol to measure the metrics of
QoS.
Keywords: MANET, AODV, Multimedia Traffic, QoS
Adirtha Borgohain, Sourish Sarmah, Dhruba K Bhattacharyya
Department of Computer Science and Engineering
Tezpur University
Assam, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
26
MACHINE LEARNING BASED ANALYSIS OF PULSE RATE USING
PANCHAMAHABHUTAS AND AYURVEDA
Damini Niranjan
Department of Computer Science and Engineering
GSSS Institute of Engineering and Technology for Women
Mysuru, India
Kavya M
Department of Computer Science and Engineering
GSSS Institute of Engineering and Technology for Women
Mysuru, India
Neethi K T
Department of Computer Science and Engineering
GSSS Institute of Engineering and Technology for Women
Mysuru, India
Prarthan K M
Department of Computer Science and Engineering
GSSS Institute of Engineering and Technology for Women
Mysuru, India
Dr. Manjuprasad B
Associate Professor, Department of Computer Science and Engineering
GSSS Institute of Engineering and Technology for Women
Mysuru, India
Abstract: The symptoms of disease manifest in the pulse long before they do in the body. This technique helps
to get to the root cause of the disease instead of just treating it based on the visible signs and symptoms.
Unfortunately, Indian Ayurveda/Traditional Medical System using Pulse signals, Tridosha and
Panchamahabhutas diagnosis has not been optimally exploited. The existing Tridosha based diagnosis are few in
number and not easily accessible or expensive for people to use. Consequently, optimal remedies to overcome
the imbalances become available only by consulting doctors. Our method is a non-invasive procedure. It helps
in quantitative detection of characteristics of the pulse that may be forceful or weak which in turn helps in
measuring the variation between normal and current pulse patterns. If one is going through persistent health
issues, Nadi Nidan will help in finding out the root cause of problems and will also give warning signals about
potential health issues one may face in the near future. It can further be used to suggest locations of nearby
clinics for an immediate visit if required and also suggest some possible remedies inclusive of yoga, meditation,
etc.
Keywords: Ayurveda, Nadi Nidan, Panchamahabhutas, Pulse Reading, Tridosha
COMPARISON OF TECHNOLOGIES, DEVICES, COMMUNICATION
PROTOCOL OF SMART HOME AUTOMATION SYSTEM IN IOT
Akansha Singh, Shiva Prakash
Information Technology and Computer Application
Madan Mohan Malaviya University of Technology
Gorakhpur 273010, India
Abstract: In this new era of technologies, Smart Home Automation System is one of the great achievements in
recent years which uplifts the living standard of the people and makes their life comfortable. This paper presents
a literature review, of various working principles of Smart Home Automation System technologies and provides
comparative study and discussion of most prominent technologies on basis of cost, range, speed, battery life, no.
of devices connected. Further, comparing the different equipment, devices and communication protocol for the
smart home automation system. These comparisons show what are pros. and cons. of corresponding
technologies that will help to make the decision in the selection of appropriate technology for a particular
application.
Keywords: Home Automation System, Wi-Fi, Bluetooth, Global System for Mobile (GSM), Microcontroller,
Internet of Thing.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
27
WRAPPER BASED FEATURE SELECTION METHODS FOR
HOUSEHOLD FOOD INSECURITY CLASSIFICATION
Doreswamy1 1Mangalore University, Department of Computer Science,
Mangalagangotri, Mangalore-574199
Mersha Nigus2
2Mangalore University, Department of Computer
Science, Mangalagangotri, Mangalore-574199
Abstract: Predicting food insecurity plays a great role for addressing the household’s problem to the
responsible bodies whose duties are taking emergency measures for prevention and intervention actions. The
need to implement feature selection methods in large data is greatly increasing because most of the real world
data have number of samples with high dimensional features. Selection of features is the method of choosing the
most useful features for a given task from the original data set, and eliminating only unnecessary and redundant
features. A wrapper approach is presented in this paper to classify household’s food secure and insecure.
Feature selection under wrapper methods are classified in to three, namely, backward feature selection (BFS),
forward feature selection (FFS) and recursive feature elimination (RFE). To measure the classification accuracy
of selected features, algorithms like k-Nearest Neighbor (KNN), Logistic Regression (LR), Support Vector
Machine (SVM) and Random Forest (RF) are applied. The experimental results show RF is the best classifier
and backward feature selection with seven features is the best features with 99.97% accuracy.
Keywords: Calorie, Food insecurity, Machine learning Classification, Feature-selection, HICE
WOMEN SAFETY USING IOT- A SURVEY
Sonia Das
Department of Computer science and Engineering
Vidya Vardhaka college of Engineering
Mysore,India
Vinay M.G
Asst.Prof, Computer science and Engineering Dept
Vidya Vardhaka college of
Engineering
Mysore,India [email protected]
Anusha K.S
Asst.Prof,Computer science and Engineering Dept
Vidya Vardhaka college of
Engineering
Mysore,India [email protected]
Abstract: In present era, where women’s are killed by an harassment. Nowadays these types of women
harassment are increasing day by day, so it is necessary to ensure safety of women. Even though many
technologies have been introduced still sexual harassment are taking place in our country. Still many
technologies and applications are used for the sake of women safety but it is not providing a required
solution because of some limitation and drawbacks. When women feels unsecured, automatic
detection system needs to be established which sends an alert message to the predefined contacts or can
provide some of the safety measures. In this literature survey the opportunities and limitations have
been discussed.
Keywords: Smart devices, Various IOT Techniques, Smart Band.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
28
BIG DATA ANALYTICS - TOOLS, CHALLENGES, APPLICATIONS,
FUTURE SCOPE
Kavyashree E D
Assistant Professor,
Department of Computer Science and Engineering
ATME College of Engineering
Mysuru, India
Abstract: Growth in various technologies in this digital era has led to increase in data day by day exponentially.
Big data analytics is one of the trending techniques to obtain useful information from big data. These data are
available in structured, semi structured, and unstructured format. Big data encompasses of 3V ‘s, Velocity,
Volume and Variety. It’s difficult to process and manage huge data with traditional tools so advance tool is
needed. Big data might be petabytes or Exabyte’s consisting of million billion and trillion information of users
from various sources eg mobile data, sales data, social media, web and so on. Big data is used for better
understanding customer’s requirement and preferences. As users are increasing day by day there is no end in
increase in data its everlasting process in days to day routine. For any business workflow big data analytics is
essential part.
Keywords: Big Data, Big Data Analytics, Tools, Integration
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
AN EMPIRICAL EVALUATION TO MEASURE THE BLENDED
EFFECT OF TEST DRIVEN DEVELOPMENT WITH CONTINUOUS
INTEGRATION
Nidhi Agarwal
Ph.d scholar : CSE Dept
IGDTUW
DELHI, India
Yashima Hooda
M.Tech student : CSE Dept
IGDTUW
DELHI, India
Eva Thakran
B.Tech 2ND YEAR student : CSE Dept
Manav Rachna International Institute
of Research and Studies,
Faridabad, Haryana India
Abstract: In this paper the implementation of a famous agile approach namely Test-Driven Development
(TDD) with Continuous Integration (CONTINUOUS INTEGRATION) is discussed. An experimental setup is
done to compare various attributes of quality and productivity with baseline reference values. These values are
obtained by another experimental setup of similar team, size, different members and using traditional software
developmental approach. It is observed that by blending TDD with continuous integration process, a greater
number of faults are discovered, metric suite for quality improves, thus appreciating and understanding
customer praise and acceptance for the new technique as an initiative for software product development method
improvement (SPI). The work presented in this paper is novel in the sense that the same problem is coded in
both traditional as well as TDD software development approaches by the same calibre subjects. Till now, no
research paper has done in this way. They have taken different problems for both the methodologies with
different domain and calibre experimenters and then compared the results which of course does not lead to best
results. We have resolved this underlying problem in our work and targeted on the same attendance monitoring
problem with same level of students from same discipline to obtain most accurate results.
Keywords: Test Driven Development,Traditional software development, Agile, Continuous Integration, SPI,
software quality
SMART AGRICULTURE USING MACHINE LEARNING AND
PREDICTION OF DISEASE USING IMAGE PROCESSING
Seema RedekarKavya Nathan
Assistant Professor,BE-IT
SIES GST
Nerul
Neha Sharma
SIES GSTSIES GST
NerulNerulNerul
Shreya Naresh BE-ITBE-IT SIES GST
Abstract: In India many people are dependent on agriculture. In today’s technologically advancing world,
agriculture has to be made smart in order to come hand-in-hand with the technology. Sometimes farmers are not
aware about the quality of the soil and the temperature rate at which the plant is getting its nutrients. The work
aims to help farmers inspect quality of the soil and accordingly supply the required nutrients by recommending
appropriate fertilizer when a disease is detected by the leaf of a plant. The main aim of our work is to develop a
system which will detect the nutrients requirement in a plant by its temperature, humidity and moisture value
and accordingly automatic watering is done. Also detecting disease in the plant by its leaves, if any, is done
using Neural network and activation functions.
Keywords: Neural network, Linear regression, CNN, Disease detection, Activation functions.
29
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
SMART MEDICINE KIT USING ALEXA
Ms. Pallavi. S
Information Science and Engineering
Jyothy Institute of Technology
Bangalore, India
Ms. Noopura. M. S
Information Science and Engineering
Jyothy Institute of Technology
Bangalore, India
Ms. Rajeshwari. B
Information Science and Engineering
Jyothy Institute of Technology
Bangalore, India
Abstract: It is been observed that people are busy with their materialistic aspects rather than their health. These
kinds of situations are most common with the elderly person due to their age factor, with blind people due to
their inefficiency and the common people with their busy schedule. Often they forget to take their medications or
might take overdose of it, resulting in further health deterioration. Due to this practice which might leads to a slow
recovery and in some situation it might leads to an life threat. Thus in order to overcome this problem we are
developing an Smart Medicine Kit which resolves the problem of forgetting, by intimating at particular time and
showing them the correct amount of medicine to take. And also facilitates for the storage of pills. The
respective updating messages will be sent to the authorized person or the caretaker. It is a mixture
of software and hardware residue that will be useful for people of any age, but it is specially concentrated to aged
ones who might not be aware of their pill routines. This venture comprises of raspberry pi, IR Sensors, Mike,
Speaker, Keypad, Display, Motors, IOT Module, GSM Module, and 24x7 Power supply.
Keywords: Smart medicine kit; Blind people; Diseases; Reminder; Alexa; Box automation; Sensing capability.
PERFORMANCE ANALYSIS OF COLOR K-MEANS AND RANGE
FILTER FOR TEXT DETECTION IN IMAGES OR VIDEO
Abstract: Text extraction in images and videos is an imperative role in image study and computer vision. The
text detection process determines the presence of textual contents in the given input. The main challenges that
occurred during the text detection process are complex background, illumination, low-resolution, different color,
and variation in font size. In this paper, the color k-means is applied to raise the gap among text pixels and non-
text information. A range filter is employed to identify possible text components. Aperture concept has
established to detect the actual text sections. The standard datasets like MRRC, hua’s and nus dataset were used
to estimate the performance of the presented model. The outcome shows that the approach is promising and
encouraging.
Keywords: Color K-means; Range filter; Aperture; text detection;
Dayananda K J
Department of Computer Science and Engineering
ATME College of Engineering, Mysuru, India
Dr. Puttegowda D
Department of Computer Science and Engineering
ATME College of Engineering, Mysuru, India
30
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
31
CONVNET FOR FINGERPRINT PERCEPTIVITY ENHANCEMENT
AND BIOMETRIC IDENTIFICATION
Abstract: The deployment of fingerprints in the Biometric Identification and recognition process has recently
been acknowledged enormously. The motivation for work in the field of biometrics comes from the fact that
biometrics provide exceedingly impregnable techniques of authentication and helps in the escalation of
accuracy. Accuracy, however, is dependent on the input fingerprint image, which can either be a high grade or
low grade with frequent noise. In this paper, we incorporate fingerprint image enhancement into the fingerprint
recognition system which improves the fingerprint image perceptivity, ultimately leading to better overall
fidelity of the recognition process. Furthermore, our fingerprint recognition model assimilates directly from the
data which helps in the development of robust and accurate models pursuing from the data which emulate and
provide improvements to the existing algorithms. This amalgamation of preprocessing and model training
helped us achieve superior concomitants than previous researches which are discussed in further sections of the
paper.
Keywords: biometrics; minutia; preprocessing;convolution neural network
SIGN POSTURES RCOGNITION FOR DEAF AND DUMB
(HELPING THE SPECIALLY AIDED PEOPLE) Maitri Radhesh
Dept. of Computer Science
Vidya Vikas Institute Of Engineering And Technology (VVIET)
Mysore, Country
Thejaswini S
Dept. of Computer Science
Vidya Vikas Institute Of Engineering And Technology (VVIET)
Mysore, India
Abstract: In our daily life, we come across many differently abled persons such as deaf, dumb, blind, etc…
These people face a lot of difficulty to interact with others. These people use a language called sign language to
communicate with others. But normal people find it difficult to understand this language and also the hand
gestures made by these people. The idea behind the project is to use the concepts of Tensor Flow, Android
Studio and Artificial Neural Networks (ANN) to train the system. A Normal Camera present on our phones is
used to take video or images of the gestures and that will be used as input to the Tensor Flow. It detects the hand
gesture made by the user and displays the corresponding alphabets on the screen. The unique methodology used
in the proposed system replaces the web camera in the image processing technique by android smart phones
which provide more accurate results than the previously proposed systems.
Keywords: Tensor Flow, Artificial Neural Networks (ANN), Android Technology, Digital Processing, Flex
Sensors, Region of Interest (ROI), Automatic Memory Management, MySQL.
Tushar Rana
Department of Civil Engineering
Delhi Technological University
(Formerly Delhi College of Engineering)
Delhi, India
Roohani
Department of Information Technology
Delhi Technological University
(Formerly Delhi College of Engineering)
Delhi, India
Priyanka Meel
Department of Information
Technology
Delhi Technological University
(Formerly Delhi College of
Engineering)
Delhi, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
32
IMAGE BASED CLASSIFIER FOR CHRONIC RESPIRATORY
DISEASE AND SWOLLEN HEAD SYNDROME IN CHICKENS USING
SVM
Likhith T, S.P. ShivaPrakash
Department of Information Science and Engineering ,
JSS Science and Technology University (Formerly SJCE),
Mysusu, Karnataka, India
[email protected], [email protected]
Abstract: Chronic respiratory disease (CRD) and Swollen head syndrome (SHS) are the diseases which affect
the chickens and leads to rejection of the chickens during the quality test. The chickens on the farm need to be
monitored daily to detect the signs of disease occurring in them so that the disease can be prevented at an early
stage and can be stopped spreading to other birds. This is a time-consuming task and it’s difficult to monitor a
large number of chickens daily. From the literature, it can be found that very few models are proposed to detect
and classify the disease in chicken. Hence there is a need to develop a model that classifies the CRD and SHS
disease accurately with less ratio of misclassification. In this paper, a model is proposed that detects the disease
in chicken and classifies them as CRD, SHS, and Healthy Chicken. The techniques used are segmentation of the
chicken image using canny edge detection algorithm, features extraction by gray level co-occurrence matrix
(GLCM) and Gabor filter features are extracted from test and training set to train multi-class support vector
machine (SVM) classifier. The model is tested in a simulation environment using MATLAB. The benchmark
dataset obtained is used to test the model. The results show that the proposed model results in an accuracy rate
of 46.67% and 76.67% for multi-class SVM using the GLCM feature and using Gabor filter respectively.
Keywords: Chronic respiratory disease, Swollen head syndrome, GLCM, Gabor filter, multiclass SVM
ANTI HACKER USING COMPUTER NETWORKS AND SECURITY
Mr. Punith Gowda V
4th Sem, dept. of CS&E
ACU, BGSIT
B G Nagara, India
Mrs. Shashikala S V
Professor
Dept. of CS&E
ACU, BGSIT
Ms. Sahana D Gowda
Asst. Prof.
Dept. of CS&E
ACU, BGSIT
B G Nagara, India
Abstract: A virus is not only for destruction a fair of use of viruses can lead us to great security to our private
file. I have come with an idea of securing the personal file using a well- programmed virus. In this paper, we
come to know that how hackers will destroy our file using some types of viruses to destroy our information or
files. Hackers are using the Time bomb virus, direct virus, Crypto virus, and others.
Keywords: Viruses; Security; Time bomb; Direct virus; Crypto virus.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
33
ATSR: DISTANCE AND TIME BASED ADVANCED TOUR SEQUENCE
RECOMMENDATION SYSTEM
P Sushmita Singh and Srikantaiah K C
Department of Computer Science and Engineering
SJB Institute of Technology
Bengaluru, India
(Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India)
[email protected], [email protected]
Abstract: The systems that filter the information and help the users in opting the desired items based on their
previous transactions are the Recommender Systems. These systems are vital and are currently being used
widely in various areas of social importance - Tourism being one of them. Using a recommendation technique in
travel and tourism related activities enhances the quality of decision making and gives the best possible
recommendation for visiting various places. A normal Travel Recommender System would only recommend a
Place of Interest (POI) based on the highest ranking given by the other users and also it would show up with
only a single POI. In this paper, a special type of Travel Recommender System called Advanced Tour Sequence
Recommender (ATSR) is proposed that outshines the other general Travel Recommender Systems. This Travel
Sequence Recommender not only allows the user to select POI from the list of most popular tourist attractions in
a city along with the suggestions to visit the other nearby POIs but also gives a convenient sequence of visiting
the nearby POIs based on travel distance and visiting hours of the POIs. It also gives various attributes such as
best time of visit, cost etc. The recommendation results of the designed system are compared with the place
ratings and reviews given by Google. It was found that the ATSR has high coverage accuracy and Average
Mean Precision (AMP) values compared to the Google ratings.
Keywords: Automatic Travel Recommendation , Advanced Travel Recommendation, Recommendation
Systems
SMART MAINTENANCE SYSTEM FOR DISTRIBUTION
TRANSFORMER
Abstract: Transformers are one of the most important equipment in power network. As a large number of
transformers are distributed over a wide area in present electric systems, it’s difficult to monitor the condition
manually of every single transformer. So automatic data acquisition and transformer condition monitoring has
been an important issue. Various methodologies have been implemented to make the process online using
various different technologies. The paper discusses the different efforts made to make the process online and
control it remotely.
Keywords: Distribution transformer, GSM, smart relays, Voltage, current, IOT, micro-controllers.
Yogeshwar J
Department of ISE
Vidyavardhaka College of Engineering
Mysore, India
Varshith V
Department of ISE
Vidyavardhaka College of Engineering
Mysore, India
Meghana S K
Department of ISE
Vidyavardhaka College of Engineering
Mysore, India
Keerthana R
Department of ISE
Vidyavardhaka College of Engineering
Mysore, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
34
DETECTION OF CLINICAL FEATURES FOR THE EARLY
DIAGNOSIS AND CLASSIFICATION OF DIABETIC RETINOPATHY :
A SYSTEMATIC REVIEW
Swaroopa Shastri
Dept. of Computer Applications,CPGS, VTU
Kalaburagi, India
Dr. Sandhya Joshi
Dept.of Computer Applications,CPGS,VTU
Mysuru, India
Abstract: Diabetic retinopathy is the principal cause of vision loss in patients with diabetes. It is progressive
eye disease that affects the retina's blood vessels, if not detected and treated at an early stage it can lead to loss
of vision. Diabetic Retinopathy (DR) is the chronic diabetes which directly or indirectly affects the human
vision. In its early stages, DR has no signs of disease or illness and the late diagnosis contribute to undeviating
vision loss. Automatic retinal image analysis is emerging as an effective technique for the identification of
diabetic retinopathy. The aim of this analysis is to provide an exhaustive review of the results of various
algorithms available for diabetic retinopathy detection and classification. A total of 57 articles from 2015-2019
are analyzed in this study to identify different characteristics of diabetic retinopathy. Such techniques ' output is
summarized by considering the AUC, precision, specificity and sensitivity with respect to the test data sets. The
results of the performance comparison suggest that precise implementation of automated detection systems is
still needed to assist in the clinical diagnosis of diabetic retinopathy.
Keywords: Diabetic Retinopathy; Microaneurysm; Exudate
POTATO (SOLANUM) CROP DISEASES, SYMPTOMS AND THEIR
MANAGEMENT: A SURVEY
Abstract: Potato (Solanum tuberosum L.) is a major food all over the world with successful large-scale
production and consumption. Plant diseases give rise to production and economic losses and also reduction in
quality and quantity of agricultural products. However, large number of pests and diseases will be propagated
from one crop to another as Potato is a vegetatively reproducible crop. One major cause of low crop yield is the
diseases caused by the pathogens like bacteria, fungi,virus and nematodes. In plant Pathology the disease
causing organism is called pathogen that may cause significant yield loss in the field . Identifying the diseases in
potato plant is not an easy task, it needs experience and knowledge of crop and their diseases. Moreover
accuracy is required for describing the symptoms of variety of plant diseases. These diseases cause reduction in
the quality, quantity and market value of tubers. Majority of the Potato crops are affected by fungal, bacterial
and viral diseases. These affects can be monitored by machine learning techniques and predict the disease in
early stage so, that the farmer can avoid the huge crop loss and improve harvest quality. These diseases are
reviewed here based on their identification, symptoms on potato plant or tubers, nature of the pathogen
involved, epidemiology, management practices, different machine learning classification techniques used and
accuracy of disease prediction etc. The main aim of this survey is to understand the various types of potato crop
diseases,symptoms of potato crop diseases in the initial stage and also know the use of appropriate management
practices to make potato cultivation more efficient, economical and environmentally safe.
Keywords: Potato Life cycle, Role of machine Learning in plant disease detection, Bacterial Disease, Fungal
Disease and Viral Disease.
Megha Rani Raigonda
Department Computer Science and Engineering
P D A College of Engineering
Kalaburagi, India
Sujatha P. Terdal
Department Computer Science and Engineering
P D A College of Engineering
Kalaburagi, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
35
SMART TOILET USING SOLAR ENERGY
Vamshikiran Ganga
Information Technology
SIES Graduate School of Technology
Navi Mumbai, India
Ashit Sapaliga
Information Technology
SIES Graduate School of Technology
Navi Mumbai, India
Siddhant Thapar
Information Technology
SIES Graduate School of Technology
Navi Mumbai, India
Leena Ladge
Information Technology
SIES Graduate School of Technology
Navi Mumbai, India
Abstract: The main objective of the Swachh Bharat mission was to completely eradicate open defecation, but
toilets can be used only if they are clean and hygienic. In India, public toilets are not cleaned regularly and thus
people prefer to defecate openly. So, to improve the cleanliness of the toilet we have designed an IOT based
system that will clean the toilet all by itself without the help of any human interference. Also, the whole system
will be powered by solar energy which will naturally keep the system running with the help of sunlight. As the
toilets will become clean people will start using the toilets automatically.
Keywords: smart, toilet, solar-energy, sensors, gas sensor, door-lock, ammonia sensor, NodeMCU, Door-lock,
MQ135, UV, infrared sensor, IoT
PARALLEL ALGORITHM FOR MATRIX SORT
Priyanka Ojha, Pratibha Singh, Gopalakrishna N. Kini, Ashwath Rao, B Shwetha Rai
Department of Computer Science and Engineering,
Manipal Institute of Higher Education,
Manipal, Karnataka, India, 576104.
Abstract: Sorted data is essential, apart from information presentation or manual retrieval of information, even
when we are using computational power of machines, sorted data is really helpful. In many science and
engineering fields, sorting of large data set is required in matrix form. Matrix sort is an algorithm which can sort
large amount of data in matrix form efficiently. In this paper, parallel algorithms are developed for the matrix
sort algorithm which sorts the matrix rows and columns in parallel, subsequently applying the further procedure
on resultant data. The implementation of developed parallel algorithms have been discussed by comparing the
results of execution time obtained in sequential and parallel form.
Keywords: Matrix sort algorithm, message passing interface programming, CUDA programming, time
complexity.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
36
CLASSIFICATION OF INTERNET TRAFFIC DATA USING
FEEDFORWARD NETWORK: AN APPROACH USING REDUCED
NUMBER OF FEATURES
N Manju
Department of Information Science and Engineering
Sri Jayachamarajendra College of Engineering
Mysuru, India
B S Harish
Department of Information Science and Engineering
JSS Science and Technology University
Mysuru, India
Abstract: Analysis of internet traffic is a recent research trend in the area of networking and communication.
The main aim of the data analysis is to perform network management effectively. Internet traffic classification
poses a major role in most of the management tasks. Traffic classification has become a challenging issue due to
the drawback of both port based and payload based classification approach. Hence, in this paper, we are using
flow based statistical approach to classify the traffic which overcomes the drawback of port and payload based
approach. In this paper a) we used a feed forward neural network (FNN) to handle the issue of multiclass
imbalance problem and b) evaluated the model using less (08 out of 248 features) number of features which are
selected from ensemble tree based feature selection method. The proposed model is evaluated using Cambridge
dataset. Experimentation is carried out on two variants of datasets: highly imbalanced (standard) and normalized
(derived) datasets. Result shows the 99% of accuracy for highly imbalance dataset and 96% of the accuracy for
the normalized dataset using 248 features. This in turn getting almost comparable result using fewer features
when compared to all 248 features.
Keywords: Internet Traffic; Feedforward Network; Feature Selection; Classification.
SURVEY ON BLOCKCHAIN TECHNOLOGY - MERITS, DEMERITS
AND ITS APPLICATIONS
Hameeda Banu1, Thamitha2, Pooja3 , Varsha J4, Kavyashree E D5 Student1,2,3,4 ,Assistant Professor 5
ATME College of Engineering, Mysuru
Abstract: Block chainis a growing technology, It is linked to cryptography and it has a list of records called
blocks. Block is a digital information and public database is a chain. Blockchain can be distributed recorded but
not edited. It is devised of digital currency, bitcoin. It carries no transaction cost only infrastructure cost. Passing
information from one node to another by fully automated and safe manner. It creates unique record with unique
history. Falsying any single piece of data means falsifying entire chain. Block chain helps to authenticate digital
information. Three pillars of blockchain technology are decentralization, transparency, Immutability. It is
timestamped series of records of data that is managed by cluster of computer it has no central authority. This
paper discusses on real time applications, merits and demerits.
Keywords: Blockchain, Bitcoins, Cryptocurrency,Cryptography, Records.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
37
STUDY ON RIP AND EIGRP ROUTING PROTOCOLS AND
CONFIGURATION
ANILKUMAR B H
Dept of Computer Science & Engineering
ATME College of Engineering
Mysuru, India
KEERTHANA M M
Dept of Computer Science & Engineering
ATME College of Engineering
Mysuru, India
Abstract: RIP and EIRP are routing protocols used in networking. These protocols are used to exchange
information between two routers. These protocols are used to choose best path in networking from source to
destination. Compare to Routing Information Protocol, Enhanced Interior Gateway Routing Protocol is very fast
and if number of hop increases time convergence is stable but not in RIP protocol.
Keywords: RIP, EIGRP, Network, Router, Discovery, Distance, Protocols.
ROBUST SIGNATURE VERIFICATION USING DEEP LEARNING
Dr. Azra Nasreen
Assistant Professor, Dept of CSE,
Rashtreeya Vidyalaya College of Engineering,
Bengaluru, India
Shivaranjan K
Dept of CSE,
Rashtreeya Vidyalaya College of Engineering,
Bengaluru, India
Praful Kumar
Dept of CSE,
Rashtreeya Vidyalaya College of Engineering,
Bengaluru, India
Harish D Shet
Dept of CSE,
Rashtreeya Vidyalaya College of Engineering,
Bengaluru, India
Abstract: Biometric authentication is an extremely reliable form of authentication where a person is identified
by one or more of his/her biological characteristics or traits. Fingerprints being the oldest form, many other
features such as signatures, hand geometry are primarily used for authentication. Even in modern era, signatures
are still used as an identifier of a person’s intent in various transactions including financial ones. Automated
solutions to verify signatures and detect any malpractice leads to the development of a robust signature
verification mechanism that could be used by the organizations where signature serves as the seal of intent or
consent. This paper proposes a CNN based method that perform pixel analysis of the signature image and
recognizes any abnormality in it. This in turn helps detecting and reducing frauds. Proposed method is built by
training multiple geometric, shadow, texture and global features of a user’s sign to predict whether it is genuine
or forged. Distinctive features are extracted from a signature and these are analysed with multiple hidden layers.
An efficient and a structured signature verification system is implemented for validating written signatures on
bank cheque, financial transactions and on legal documents. Use of CNN helped in recognizing patterns
accurately as this identifies spatial features for independent pattern classification. Accuracy of the proposed
system was found to be 86%.
Keywords: CNN, signature, authentication
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
38
COMPRESSIVE STRENGTH AND SLUMP FLOW PREDICTION OF
CONCRETE MIXTURE USING MACHINE LEARNING MODELS: A
SURVEY
Shwetha D R1*
Department of Computer Science and Engineering,
Vidyavardhaka College of Engineering,
Mysuru, India
Poornima N3
Department of Computer Science and Engineering,
Vidyavardhaka College of Engineering,
Mysuru, India
Vinay Kumar B M4
Department of Civil Engineering,
New Horizon College of Engineering,
Bengaluru, India
Abstract: Predicting the right proportion of the concrete mixture is very much necessary in construction of
buildings. Compressive strength and slump flow detection of concrete mixture has become one of the important
tasks in construction design applications. Development of accurate and reliable model for the prediction of
concrete mixture quickly generates the needed design data thus saving the time and costs associated with the
development of the structural components with alternate designs. Now days, Machine learning is being used
widely by the civil engineers in detection of the concrete strength and the slump flow for the concrete mixture.
This paper explores and compares various machine learning models applied for concrete strength and slump
flow prediction.
Keywords: Machine learning; Compressive strength; slump flow
AN EXPERIMENTAL STUDY ON COMPARISON OF CREDIT
SCORING MODELS
Anil Kumar C J
Research Scholar, Department of Computer Science and
Engineering,
BGS Institute of Technology, B G Nagara, Mandya,
Karnataka, India.
B.K. Raghavendra
Professor & Head, Department of Computer Science and
Engineering
BGS Institute of Technology, B G Nagara, Mandya,
Karnataka, India.
Abstract: Credit Scoring is widely used in banking and risk assessment systems are more important for decision
making. Creditworthiness of the credit applicants are assessed using Credit scoring technique. The main purpose
of credit scoring is to categorize applicants into two groups, i.e., good or bad customer based on their payment
actions. Credit Scoring is a process to measure risk. Credit scoring model building is concerned with the
developed of experimental models to aid financial decision making for banking industries. Applicant’s statistical
and historical data or artificial intelligence (AI) techniques are used for evaluating the risk involved in
connection with an applicant. We, in this paper implemented four credit scoring models: Artificial neural
networks (ANN), Random Forest (RF), support vector machines (SVM) and Logistic Regression (LR). From the
results it is evident that RF gives better result for both credit datasets when compared with LR, RF and ANN.
Based on this experiment, Random Forest is considered as the best classification model.
Keywords: SVM, Logistic regression, ANN, Random Forest, Credit Scoring.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
39
RECOGNITION OF ALZHEIMER’S DISEASE USING MRI SCANS BY
ARTIFICIAL NEURAL NETWORK
Mohamed Naumaan
UG Student
Department of CSE
ATMECE,Mysuru
ShaziaBaig
UG Student
Department of CSE
ATMECE,Mysuru
Sheeban E Tamanna
UG Student
Department of CSE
ATMECE,Mysuru
Abstract: Alzheimer's Disease (AD) is a permanent and dynamic psyche disease that consistently wrecks
memory force and thinking capacity aptitudes that it impacts the ordinary everyday practice of person. The work
showed currently is that the utility of picture dealing with the Magnetic Resonance Image (MRI) compasses to
assess the opportunity of an early acknowledgment of AD. The paper shows the utilization of a couple pre-
picture planning procedures, for instance K-infers bundling - implies, wavelet change, watershed estimation,
fake neural framework and besides a changed figuring tweaked for some specific case. It very well may be
executed utilizing open source stages, for example, OpenCV and Qt, which helps the usage and value of the
created filters in the medical clinics without requiring a specific programming. The results obtained by this
endeavor could help in recognizing Alzheimer's patients and sound individuals, and investigating the AD
patients with the psychological results and could as needs be help the pros in perceiving the malady at earlier
stages. This could intelligently help in perception and treating AD.
Keywords: Watershed, OpenCV, Wavelet Transform
BRIEF OVERVIEW OF HADOOP FRAMEWORK – MAP REDUCED
AND SCHEDULERS
VIDYASHREE H D
Affiliated to University of Mysore: Department of Computer
Applications
Sri K Puttaswamy First Grade College
Mysuru, India
SAIYAD M KHAZI
Affiliated to University of Mysore: Department of Computer
Applications
Sri K Puttaswamy First Grade College
Mysuru, India
Abstract: Big data is a collection of large size data and it is growing exponentially. Big data is generated by
machines or humans. When the information exhibit veracity-accuracy, velocity-speed, variety-different and
volume-amount, then it is called as big data. The solution for the big data problem is Hadoop technology. Big
data is very much needed for business purpose. To exploit the benefits big data Hadoop tool is used. Big data is
processed using open source framework written in Java called Hadoop. This tool will do parallel data processing
by using clustered architecture. Apache introduces the Hadoop tool. Twitter, LinkedIn, Facebook, Google,
Yahoo etc., uses Hadoop technology.
Keywords: Big data, Hadoop, Veracity, Velocity, Variety.
Sharvanu N Pande
UG Student
Department of CSE
ATMECE,Mysuru
sharvanipande22@gmail.
Sushma V
Assistant Professor
Department of CSE
ATMECE,Mysuru
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
40
ENERGY EFFICIENT PARALLEL LEACH PROTOCOL FOR
UNDERWATER WIRELESS SENSOR NETWORK
Abstract: This paper focuses on exploring most widely used Local Energy Aware Cluster Head (LEACH)
protocol in the field of Underwater Wireless Sensor Network (UWSN). From the literature it can be found that
most of the researchers have proposed energy efficient protocol for a single core machines. These protocols may
work a efficiently in single core machines but exhibits low performance when applied to multi core machines
hence this work proposes an Energy Efficient Parallel Local Energy Aware Cluster Head (EEPLEACH)
protocol that evaluates and improves network performance considering energy metric in many core CPUs and
GPUs. The proposed protocol is tested on Dual-core, Quad-core, Hexa-core and Octa-core machines. The result
shows an improvement in network performance in the proposed protocol compared to existing protocol.
Keywords: High Performance Computer, Energy Efficient Parallel LEACH, energy efficiency, multipath
clusters, Underwater Wireless Sensor Network.
AN INSIGHT INTO FEATURE EXTRACTION ALGORITHMS FOR
VEHICLE PLATOON MANAGEMENT
M S Sunitha Patel
Assistant Professor, Dept. of Computer Science &
Engineering
ATME College of Engineering
Mysuru, India
Dr. Srinath S
Associate Professor,Dept. of Computer Science &
Engineering
Sri Jayachamarajendra College of Engineering
Mysuru, India
Abstract: Vehicle platoon is the current state of the art research area where vehicles travel as road train to
reduce aerodynamic drag in lead and follower vehicles. When aerodynamic drag is reduced in road train vehicle,
effort required to propel vehicle will reduce this will in turn reduces necessary fuel for vehicle. Vehicle
platooning uses multiple cameras to guarantee safe driving and to achieve high fuel efficiency. Research in
automotive image processing in vehicle platooning is increasing to achieve safe and fuel efficient vehicles. This
work does a comparison study on challenges faced in vehicle platooning with respect to image processing and
suitable image processing feature extraction methods to overcome the challenges.
Keywords: Vehicle Platoon, Feature Extraction, Image Processing, Deep Learning.
Santhosh kumar K S, Hanumanthappa J, Chethan Raj
Department of studeies in Computer Science,
University of Mysore,
Mysuru, Karnataka, India.
S.P. ShivaPrakash
Department of Information Science and Engineering ,
JSS Science and Technology University (Formerly SJCE),
Mysusu, Karnataka, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
41
OBJECT DETECTION THROUGH SYMBIOTIC DEEP LEARNING:
DETECTION AND RECOGNITION ON RESOURCE CONSTRAINED
DEVICE
Puttegowda D
Head of the Department
Department of CSE
ATMECE,Mysuru
Sandya G B
UG Student
Department of CSE
ATMECE,Mysuru
Supreeth H
UG Student
Department of CSE
ATMECE,Mysuru
Abstract: Detection of objects are one of the most prevalent and challenging tasks that a surveillance system
has to complete in order to determine doubtful activities and meaningfulevents, and automatically annotate and
fetch content. an object can be a face, a head, a human, or a product. Efficiency and accuracy in object detection
has been an very important topic in the advancement of computer or robot vision systems. With the
advancedinvention of deep learning techniques, the accuracy for object detection has increased drastically. The
paper bring about incorporate state-of-the-art technique for object detection by getting high accuracywith a real-
time performance. A big challenge in many of the main object detection systems is the dependency on other
computer vision techniques for helping the deep learning based approach, which mainly leads to slow and non-
optimal performance. In this paper, a totally deep learning based approach is used to solve theproblem of object
detection in an end-to-end fashion. The resulting system is very fast and accurate, thus aiding those applications
which require object detection.
Keywords: detection; recognition; deep learning; accurate;
EXTRACTIVE TEXT SUMMARIZATION USING FUZZY LOGIC
Rakshitha B S, Mausumi goswami
Computer Science and Engineering department
Christ (Deemed to be University)
Bangalore
Alok Chakraborty
National Institute of Technology
Abstract: The amount of text data is increasing drastically, most of which are irrelevant. In order to obtain
meaningful insights from the text data, it needs to be effectively summarized. This has demanded extensive
research in Auto text summarization. This paper is a study on the Auto text summarization using soft computing
techniques like fuzzy logic.
Keywords: extractive text summarization; fuzzy logic system; feature selection; membership functions
Thejas D
UG Student
Department of CSE
ATMECE,Mysuru
Vivechan B
Assistant Professor
Department of CSE
ATMECE,Mysuru
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
42
A REVIEW OF MACHINE LEARNING TECHNIQUES FOR DIABETES
DIAGNOSIS ON MEDICAL DATA
Sandeep H1, 1 Research Scholar, Department of Computer Science and Engineering,
BGS Institute of Technology,Mandya and affiliated to Visvesvaraya Technological University,
Belagavi, Karnataka,India
Dr. B.K. Raghavendra2 2 Professor & Head, Department of Computer Science,
BGS Institute of Technology,Mandya and affiliated to Visvesvaraya Technological University,
Belagavi, Karnataka, India
Abstract: Data mining on medical datasets has been considered as one of the most challenging field in health
sector because of large inflow of medical data. Extracting useful information and diagnosing the disease has
become a vital problem in the field of medical data mining. Diabetes is a metabolic disorder due to
hyperglycemia and is considered to be a chronic disease worldwide .According to WHO report 422 million
people have been affected by diabetes in 2014 and 1.2 million deaths in 2012 and tends to double the number in
the next decade. The main aim of this study is to propose the machine learning techniques with maximum
accuracy for diagnosis of diabetes in patients. Four machine learning techniques such as Random forest, SVM,
Naive Bayes and KNN have been used to detect diabetes on PIMA dataset. The performance evaluation of these
Machine leaning algorithms is done through various metrics namely accuracy, Recall, precision, F Measure,
Specificity, Sensitivity. The experimental results show that random forest technique achieves highest
classification accuracy of 84.3 comparatively with other techniques.
Keywords: Diabetes, SVM, Naive Bayes, Logistic regression, KNN.
DRONE BASED OBJECT CLASSIFICATION USING NAÏVE BAYES
CLASSIFIER
Mausumi Goswami, Anurag Chowdhury, John Samuel Rontala, Rupesh Singh
Computer Science and Engineering,
Faculty of Engineering,CHRIST
(Deemed to be University)
Bangalore 560074, India
Abstract: Machine Learning methods use the manual labelling of classes by humans which are then referred to
a model and are finally classified into classes. In Deep Learning the functioning of the classifier is similar to
human brain which consists of neural networks and hence the human interaction or work is very limited and is
all managed by the machine. The machine itself creates its own features and identifies patterns in the inputs
provided. It learns by itself and then refers the data in a model and then classified into classes. Object
classification is being used very widely in the recent days. There are various classifiers which classify objects
and help in object recognition. In our work, we investigate the object recognition performance using Machine
Learning approach e,g, Naïve Bayes. Having the dynamic or real time object classification on a drone or an
unmanned aerial vehicle becomes a really good asset without humans being on the site, but can rather supervise
from a remote location. This paper is an attempt towards understanding about the classifiers and also shows the
difference in the implementations of ML approaches using Naïve Bayes. In our observation, the performance is
found satisfactory.
Keywords: Object recognition, Naïve Bayes, Drone, and Classification.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
43
A SURVEY: DYNAMIC LINK PREDICTION ON SOCIAL NETWORKS
USING MACHINE LEARNING TECHNIQUES
Abstract: Social network is a common media through which people are communicating with each other. Link
prediction on social network has emerged as most important and key research area from decade. The link
prediction having common applications in the field of e-commerce, co-authorship, bio-informatics, security
domain etc. Identifying missing link, broken edges are key essential for social network. The social network is
dynamic by nature, nodes and edges are added/removed over the period of the time, hence link prediction is
extremely challenging task. The main aim of this paper is surveyed by considering with three social networks
and link prediction techniques such as common neighbor, jaccard coefficient, adamic/adar, preferential
attachment are implemented and analyzed. Accuracy is measured through AUC and precision.
Keywords: Link Prediction, social networks, Analyze.
AN APPROACH OF AUTOMATING A SYSTEM FOR SIMULATION
OF NANOMATERIALS
Jival Jenson, Mausumi Goswami,
Computer Science and Engineering Department
CHRIST (Deemed to be University)
Bangalore, India
Varun Sharman
Computer Science and Engineering Department
CHRIST (Deemed to be University)
Bangalore, India
Abstract: With all the modern advancements in the production of miniature mobile devices, effective heat
dissipation is a very crucial role. Various materials are used for the conduction of heat away from the main chip
to the external surroundings. Among these, nanomaterials are found to possess great thermal properties.
Constructing composites using those nanomaterials produce the most suitable heat dissipation results. But
coming up with such structures require the understanding of the various parameters which are studied by
computer simulation using various methods. Even the well optimized methodologies take around 24 hours to
run these simulations and must be carried out manually for many different base structures with other varying
parameters till the required condition is satisfied. Hence, this paper suggests an intelligent and automated
methodology for the simulations of different materials and finally output the best suitable material according to
the given criteria. This method ensures that all the simulations are optimized by using methodologies like the
Coarse Grained Molecular Approach to reduce the overall time required.
Keywords: Coarse Grained Molecular Dynamics(CGMD), Carbon Nano Tube(CNT), Mathematical Modelling
and Simulation (MMS), Single Walled Carbon Nano Tube(SWNT)
Ugranada Channabasava1
Research Scholar, Department of Computer Science & Engg
BGS Institute of Technology,Mandya, Karnataka
Affiliated to Visvesvaraya Technilogical University,
Belagavi Karnataka, India
B K Raghavendra2
Professor and Head, Dept. of Computer Science & Engg.
BGS Institute of Technology,Mandya ,Karnataka,
Affiliated to Visvesvaraya Technilogical University,
Belagavi Karnataka, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
44
VEHICLE MOVEMENT STREET LIGHT CONTROLLER SYSTEM
Prof. Syed Salim
Dept. of CSE,
VVIET
Mysuru,India
Rishab Jain S.P
Dept. of ISE,
VVIET
Mysuru, India
DeekshaDayanand
Dept. of ISE,
VVIET
Mysuru, India
Gowthami CL
Dept. of ISE,
VVIET
Mysuru, India
Punith KM
Dept. of ISE,
VVIET
Mysuru, India
Abstract: the Proposed concept is mainly based on IOT and the topic we are presenting in this paper is on
concept by tracking the vehicle movement in order to save energy by switching the lights of the street light only
when the system sense the movements of vehicle. The advanced system will keep sensing the motion of the
vehicle and similarly switches the street light ahead of the vehicle automatically and switches off all lights
behind the vehicle simultaneously, if it stops in between for longer time a buzzer beeps as an alert in order to
indicate to move the vehicle immediately to save energy. (Abstract)
Keywords: Simultaneously, Buzzer, IOT key words)
.
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Electricals &
Electronics
Engineering
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
45
ARDUINO BASED SOLAR CHARGED QUADCOPTER
Vidish Sirdesai,
Dept. of Electrical and Electronics Engineering
Guru Nanak Dev Engineering College
Bidar, India
e-mail: [email protected]
Deepak Ghode,
Dept. of Electrical and Electronics Engineering,
Guru Nanak Dev Engineering College
Bidar, India
e-mail: [email protected]
Abstract: The charging of the battery becomes a problem when the drone is being used in remote areas. The
solution to this problem may lie in using solar energy. This project incorporates the use of solar energy to charge
a quadcopter drone. The idea here is to build a quadcopter which is charged by solar energy. An Arduino UNO
is used to make the flight controller of quadcopter. Since the battery is charged with solar energy, it is possible
to achieve the charging of battery where-ever there is a non-availability of charging ports. This in turn leads to
the quadcopter being able to perform better in areas where charging through conventional methods is not
possible.
Keywords: Flight time, hinderance, battery, remote areas, charge, solar energy, Arduino UNO, charging ports.
FAULT MODE AND EFFECT ANALYSIS OF VSI DRIVEN
INDUCTION MOTOR
*1Jyothi R, 2Mohammed Sufyan Zain, 3Reshma Begum, 4Syed Afzal, 5Shaik Mohammad Zahid, 6K Uma Rao, 7R Jayapal
1,2,3,4,5,6Department of Electrical and Electronics Engineering.
R.V. College of Engineering
Bengaluru, India 7 RV Institute of Technology and Management
Bengaluru, India 1*[email protected], [email protected], [email protected]
Abstract: Modern AC drives involves automation in large scale employing power electronics and digital
control technologies. AC drives employed in industrial applications are massive and expensive. Induction motor
drives are more vulnerable to various types of faults. Furthermore in drives, catastrophe due to incipient faults
does not inevitably lead to the complete blackout of the plant. It is feasible that the motor is operating, but at a
reduced performance and efficiency. Hence the analysis of faults would be beneficial for fault diagnostic tool
design and protection system using smart methods to take preventive measure. In the proposed work, three
phase, VSI fed 415V, 50Hz squirrel cage induction motor hardware model is developed to analyze stringent
effect of different types of fault and escalation of fault effects at a later date. Total Harmonic Distortion of stator
currents, line voltage at motor terminal and the abrupt changes in vibration of the motor are used for analysis of
faults. The experimental results for different fault conditions are tabulated.
Keywords: Induction motor drive, condition monitoring, Voltage Source Inverter[VSI],Total Harmonic
Distortion[THD].
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
46
IMPACT OF POLLUTANTS ON SOLAR PANEL PERFORMANCE IN
TROPICAL COUNTRIES
aSushmita Sarkar, bK Uma Rao
a,bDepartment of Electrical and Electronics Engineering
RV College of Engineering
Bengaluru, India [email protected] , [email protected]
Abstract: Every solar cell is designed such that it absorbs radiation from the maxima of the visible solar
emission spectrum. However, accumulation of dust on the PV panel reduces the total light available for
conversion and affects the performance and efficiency of the panel. Different urban pollutants have distinct
impact on different types of solar panels. The major consequences are reduction in the panel power output,
thereby reducing the efficiency. This paper presents repercussions of urban dust mainly in tropical countries, on
Monocrystalline and Polycrystalline Panels and compares their performance characteristics on weekly basis.
The result shows that the efficiency for the monocrystalline panel drops from 13% to 9% and for polycrystalline
from 11% to 6%. The effect of various dust on the panels were studied and experiments indicate that darker
shades of dust lower the efficiency more, as compared to lighter shades. The results were verified using Spectral
analysis of the absorption wavelengths of various dusts.
Keywords: Monocrystalline, Polycrystalline, urban dust, Maximum power point (MPP), Fill factor (FF)
POWER QUALITY IMPROVEMENT IN POWER DISTRIBUTION
SYSTEM: CURRENT AND FUTURE TRENDS IN RESEARCH
Mr. Lokesh M
Asst. Professor, Dept. of E & EE
NIE Institute of Technology, Mysuru
Karnataka, India
D. Babu Rajendra Prasad
Asst. Professor, Dept. of E & EE
VVCE, Mysuru
Karnataka, India
Dr. A D Kulkarni
Former Prof. Dept. of E & EE
NIE, Mysuru
Karnataka, India
Dr. T Ananthapadmanabha
Former Principal
NIE institute of Technology, Mysuru
Karnataka, India
Abstract: Increased economic growth rate of India has resulted in increased energy needs at a very high pace.
Managing the rapidly increasing energy needs is one of the major challenge is what India is facing today as from
several decades; the supply of energy has fallen short of the demand. This gap can be bridged only with the
structural reforms in the energy sector. These reforms will however take time to be implemented considering the
numerous challenges involved. Distribution generation (DG) through renewable energy resources is presently
trying to fill this gap. With a high penetration of DG unit, interfacing power converters, type and switching of
loads etc. arises quality issues. This paper introduces a set of innovative technical measures to mitigate major
power quality issues and also aims to provide some future scopes on the same for the benefit of research
scholars and industrialist.
Keywords: Custom Power Devices (CPD), Distribution generation (DG), Filters, Power Quality (PQ), Power
Converters.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
47
EFFECTIVE UTILIZATION OF MEDIAN OF NATIONAL HIGHWAY
FOR INSTALLATION OF PV PANEL AND ITS INTERCONNECTION
WITH GRID
Maria Sushma S1,
Assistant Professor, Dept. of EEE
ATME College of Engineering, Mysuru
Karnataka, India
Praveen Kumar M2
Assistant Professor, Dept. of EEE
ATME College of Engineering, Mysuru,
Karnataka, India
Abstract: In this paper, the use of renewable energy resources has been given importance. Worldwide nations
are looking at Sun for power generation, which is a perennial source having least effect on ecology and
environment. The land required for Solar Photovoltaic (SPV) panel installation is very large per MW, compared
to any other types of generation. Availability of land per capita is very low in India. It is essential to explore the
possibilities of utilizing land area which are neither contributing to agriculture nor for any other use. In this
context the space available in median of national highways is chosen for PV panel installation and solar power
generation. The location of the median on NH-4 between Tumakuru and Chitradurga of Karnataka, India is
considered. The analysis is carried out for 2 cases for the median running through East –West direction and the
median running through North - South direction with a power generation capacity of 50kW in either case.
Keywords: National Highway median ; Photo voltaic panel; Power generation; Solar energy.
POWER QUALITY ANALYSIS OF DISTRIBUTION SYSTEM
INTEGRATED WITH MULTIPLE PVS
Sathish K R
Assistant Professor, Department of
EEE
ATMECE,Mysuru
India
Vishwanath G
Assistant Professor, Department of
EEE,
NIEIT
Mysuru, India
Dr. T Ananthapadmanabha
Former Principal,
NIEIT
Mysuru, India
Abstract: In this work, the Impact of integration of multiple Photo Voltaic distributed generators (PV-DGs) on
power quality of the distribution system is analyzed under static and dynamic loads. Major power quality
parameters considered for the analysis are voltage deviation (VD), Total Real power and reactive power line
losses (PTL & QTL) and total harmonic distortion of Voltage at Buses (THDv). Test system considered for the
study is the IEEE-9 bus test system and types of loads considered are Static RL and Induction motors. Modeling
and simulation of test system, PVs and Induction motor loads are carried out in MATLAB/SIMULINK software
package.
Keywords: IEEE 9-bus, Power Quality, Voltage deviation, line losses & THDv
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
48
ANALYSIS OF PARTIAL SHADING EFFECTS IN GRID CONNECTED
SOLAR PV SYSTEM WITH FUZZY CONTROLLER
K. Latha Shenoy
Dept of Electrical & Electronics
Engineering
NMAM Institute of Technology
Nitte, India
Dr. C. Gurudas Nayak
Professor, Dept. of I&CE,
Manipal Institute of Technology,
Manipal Academy of Higher
Education,
Manipal, India
Dr. Rajashekar P. Mandi
Professor, School of E & E
Engineering,
REVA University, Rukmini Knowledge
Park,Kattigenahalli, Yelahanka,
Bangalore, India
Abstract: As conventional fossil fuel reserves shrink and the danger of climate change prevailing, the need for
alternative energy sources is unparalleled. A smart approach to compensate the dependence on electricity
generated by burning fossil fuels is through the power generation using grid connected PV system. Partial
Shading on PV array affects the quality of the output power in photovoltaic (PV) systems. To extract peak solar
power under variable irradiance, temperature and partial shading condition, different peak tracking algorithms
were used. To extract the peak power from photovoltaic system normally incremental conductance and fuzzy
based MPP methods are utilized. Basically 11 KW photovoltaic systems comprising of solar structure coupled
with an Inverter through a dc to dc conversion stage is considered for the analysis and output of the inverter is
supplied to the load through the LCL filter. An Intelligent controller for MPP tracking of PV power is designed.
Also a fuzzy controller for VSC is developed to improve the system performance. The above proposed design
has been simulated in the Matlab Simulink and analyzed the system performance under various operating
conditions. Finally, the performance is evaluated with IEEE 1547 standard for showing the effectiveness of the
system.
Keywords: Photovoltaic, MPPT, partial shading, fuzzy controller.
DFIG BASED POWER GENERATION UNDER VARIABLE WIND
SPEED USING FUZZY CONTROLLERS
K.Latha Shenoy
Dept of Electrical & Electronics
Engineering
NMAM Institute of Technology
Nitte, India
Dr. C. Gurudas Nayak
Professor, Dept. of I&CE,
Manipal Institute of Technology,
Manipal Academy of Higher
Education,
Manipal , 576 104
Dr. Rajashekar P. Mandi
Professor, School of E & E
Engineering,
REVA University, Rukmini Knowledge
Park,
Kattigenahalli, Yelahanka,
Bangalore - 560 064
Abstract: The utilization of fossil fuel after industrial revolution has been reached to its peak all over the
nations. Two major problems observed over the past decade relates to the lack of fossil fuel resources and the
energy security along with global warming results in a smart approach to compensate the dependence on
electricity through the power generation using grid connected wind system. To extract the power from wind the
efficient power electronic converters are required with intelligent controllers. The fuzzy logic controllers (FLC)
are gaining attention in inverter controller design for wind power generation. Hence an intelligent fuzzy logic
controller to track peak 10KW power generation is designed from wind based DFIG unit. Two fuzzy controllers
are designed for rotor current converter controller in order to control direct axis (d-axis) and quadrature axis (q-
axis) component of rotor current. This will help in controlling active and reactive power generated by the DFIG
based wind energy system. The proposed design has been simulated in the Matlab Simulink 2018b and analyzed
the system performance under various operating conditions. Finally, the performance is evaluated with IEEE
1547 standard for showing the effectiveness of the system.
Keywords: DFIG, wind power quality, inverter, fuzzy controller
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
49
APPLICATION OF ARTIFICIAL INTELLIGENCE FOR POWER
QUALITY ISSUES
M.R.Srinivas
Chief Technical Officer (CTO)Harmonizer Solutions
Annapoorneshwari Nagar, Nagarabhavi
Bengaluru-560091, India
e-mail: [email protected]
Dr. M S Suresh
Department of Electrical & Electronics Engineering.
Sir M.Visvesvaraya Institute of Technology
Bengaluru-562157, India
e-mail:[email protected]
Abstract: The poor power quality is causing various problems at consumer end such as tripping of DG set,
failures of capacitor banks, over heated induction motors, nuisance tripping of relays, Noise in transformers,
reduced life of electrical equipment as a whole. It has to be noted that Power Quality issues can be either from
Load side (consumer end) or from Source side (Utility end). One of the major power quality issue caused by
load is harmonics, voltage sag/fluctuation due to fast varying load such as welding application (voltage sag can
also be from source side). Both harmonics and voltage sag/fluctuation affects the performance of electrical
equipment drastically. To overcome this immense challenge on power quality issues faced with appropriate
solutions, the consumers depends on Power Quality (PQ) experts to audit their facilities, analyze the issues
prevailing in the systems and need proper solution recommendations. The PQ Audit by a PQ expert is a one
time effort and are conducted at one scenario of the network. In most cases, the PQ parameters could change
that will not be captured during the time of Audit causing the solution to work only for few parameters. This
paper discusses about an idea of incorporating Artificial Intelligence in an electrical device / system such as
breakers, metering systems, Energy Managing System (EMS) etc. to measure, analyze, infer and provide
solutions for PQ issues for customers, in which a built-in expertise within the electrical network that can
replicate an activity done by an expert in PQ Domain.
Keywords: Power Quality, Artificial Intelligence, Harmonic issues, Electrical Network, Inference Engine
DEVELOPMENT OF IOT BASED DIGITAL NOTICE BOARD USING
RASPBERRY PI
M S Nishanth, Kiran P, Salman Khan, Srinivas Raju L. 1Students, VIII Semester, Department of Electrical and
Electronics Engineering,
Vidyavardhaka College of Engineering, Mysuru,
India.
Dr. Lokesh C 2Assistant Professor, Department of Electrical and
Electronics Engineering,
Vidyavardhaka College of Engineering, Mysuru,
India.
Abstract: Digital Notice boards performs a vital part in most of the applications in daily routine. Digital notice
boards are the substitutions for regular Analog form of notice board along digital form of notice board. Also it is
possible to form information circulation in simple and smooth manner with paperless work domain. In this
approach the system administrator will have operation of notice board using internet. Therefore data or
information is circulated wherever in the prescribed premises or local region and circulation of information is
achieved in a span of few seconds. The digital data and information of the type text, image, pdf etc are used to
circulate. Desktop or Mobile phone is used for dissemination of data and information and Raspberry Pi is
coupled with internet along receiving side. As an extension, application software installed in administrator’s
mobile phone can also perform the same objective. This operation also includes speech to text conversion.
Therefore administrator can send text information through his/ her own voice.
Keywords: Raspberry Pi, Display, Internet of Things(IoT).
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
50
DESIGN OF WATER WASTE COLLECTOR BY SEABIN
Vinod Kumar P
Assistant Professor, Department of EEE
ATME College of Engineering
Mysuru, India
Mohith R & Nikitha M E
UG Student, Department of EEE
ATME College of Engineering
Mysuru, India
[email protected], [email protected]
Abstract: Water is the fundamental requirement for the presence of life on the earth. Disregarding 70% water
on earth lion's share of water isn't reasonable for drinking reason. There is an immense interest of clean water as
it is utilized for assortment of direction, for example, drinking, washing, cleaning, cooking and so forth now-a-
days despite the fact that automation assumes an imperative job in every single mechanical application in the
best possible removal of waste from water bodies and business are as yet a difficult assignment .the central
capacity of programmed water squander authority framework is to gather also arrange the strong waste to the
waste container with the assistance of forks. Strong waste in water bodies (channels, lakes, lakes and so forth)
incorporates void jugs, polythene packs, papers and so forth. As these squanders are hurtful to nature and are
should have been cleaned, in this way these pollutions are should have been set aside out effort to time for the
water to stay clean. Water can be cleaned consistently by the assistance of model utilizing the drive framework
to expel the strong waste and tossed it into squander container. This paper is planned with the goal to start the
productive working of framework. The paper which proposed model consequently cleans the water each time
polluting influence shows up, and forks which are driven by chain sprocket handle the strong waste and tossed it
into the waste collector. It even lessens the expense of physical work just as decreases the danger to human life.
Instruments utilized for our plan is such a way, that it gathers the waste which glides on water bodies and
gathered waste can be effectively arranged into the receptacle, our item cleans squanders discovered, for
example, plastic squanders, wreaths , bottles and different squanders discovered coasting on water. Our
proposed paper utilizes unique chain drive framework, DC engine, DC battery, bearing, shaft, transporter and
waste storage bin to fill in as programmed water cleaning framework.
Keywords: Conveyor belt; GSM module (SIM900); Ultrasonic sensors; Arduino; Waste collection bin
DESIGN OF MOTORISED WHEELCHAIR FOR PARAPLEGIC
Sangeetha B
UG student, Department of Electrical & Electronics
Engineering
ATME College of Engineering
Mysuru, Karnataka, India
Shreeshayana R
Assistant Professor, Department of Electrical & Electronics
Engineering
ATME College of Engineering
Mysuru, Karnataka, India
Abstract: The Wheel Chair is a mobility vehicle intended for moving patients, disabled, matured individuals,
aged who experience issues and can't stroll starting with one spot then onto the next with the assistance of
participant or by methods for self-pushing. First wheelchair model advanced long back in eighteenth century,
yet fast improvement right now since mid of twentieth century. From that point forward, numerous assortments
of models had been structured, reaching out into expansive scope of items. The wheel seat is partitioned into
two distinct sorts dependent on the force utilized for portability i.e Manually controlled wheelchairs and Electric
propelled wheelchairs. Manual controlled wheelchairs are driven by manual force which are again arranged into
foldable and non - foldable with or without cabinet structure. Mobility impairing disorders causes a person to
use the wheel chair. The paper presents an ergonomically designed low cost Motorised wheelchair for
Paraplegic patients who have both lower limbs paralyzed and have upper body strength to propel the wheelchair.
The model designed has been customized as per the standard design and suggestions of doctor. Joystick is used
for controlling the motion and the results for smooth and inclined surface is tabulated.
Keywords: DC Motor; Motorised; Paraplegic
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
51
IOT BASED SELF AUTOMATED ENERGY SAVER IN IT &
DOMESTIC APPLICATIONS
Anoop HA
Assistant Professor, Department of Electrical and
Electronics Engineering
Vidyavardhaka College of Engineering,Mysore
India.
Bopaiah MS , Mohitha P , Shradha , Tanushree P
Student, VIII Semester, Department of EEE,
VVCE, Mysuru,
Karnataka. India.
Abstract: There are few significant parameters that we need to look into while analysing the energy saving
management system. We can opine that copious products with standby power consumption are flourishing in a
linear exponential rate in sense of quantity and diversity. Beneath in this paper, we discuss diligently about the
energy management systems in IT and domestic applications, which accords to the vital energy consumption
statistics, for which the power loss of appliances scale from 1W to maximum of 25W. This paper also deals
with the Smart Energy Saver prototype model, which cuts down the cost by saving the standby energy loss in
the appliances and systems and. The future scope of the model that can be done to the unit to make it portable,
effective and efficient for the large scale implementation is also gone through.
Keywords: Internet of things, Aurdino, Blynk Application, embedded C, energy conservation, saving, sensors,
Information Technology, Domestic, Power.
DESIGN AND SIMULATION OF THE THREE PHASE Z-SOURCE
INVERTER
Vinod Kumar P1
Assistant Professor, Dept. of EEE, ATME College of Engineering,
Mysuru, Karnataka, India [email protected]
Praveen Kumar M1,
Assistant Professor, Dept. of EEE, ATME College of Engineering,
Mysuru, Karnataka, India [email protected]
Santhosh Kumar R2,
Assistant Professor, Don Bosco Institute of Technology,
Bengaluru, Karnataka, India
Abstract: Inverter is basically an electrical device used extensively for various applications such as grid
connected Wind Energy scheme or Photovoltaic scheme for a transition of dc to ac supply. Basically inverters
are categorized as two current source inverter (CSI) and voltage source inverter (VSI). However, due to
limitations of conventional inverter, the Z source inverter configuration is presented. The Z-source inverter
design can also be used to dc-dc power conversion, ac-dc power conversion and also ac-ac power conversion. Z-
source concept uses a distinctive impedance circuit for coupling source and power circuit. For better
understanding of this concept, detailed design analysis and simulation for a simple Boost control technique is
carried out.
Keywords: Inverter, three phase Z source, MATlab Simulink, voltage source inverter (VSI), simple Boost
control, current source inverter (CSI).
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
52
INDUCTION MOTOR DRIVING SYSTEM USING PUSH-PULL
CONVERTER AND THREE PHASE MULTILEVEL INVERTER
Swapna H
Assistant Professor,
Department of EEE,
ATME College of Engineering,
Mysuru,
Rajesh K S
Assistant Professor,
Department of EEE,
ATME College of Engineering,
Mysuru,
Abstract: The paper mainly discuss about the study of driving an induction motor by using single photovoltaic
panel. In order to drive the induction motor by PV panel, power electronic interface is necessary. Push-pull DC-
DC converter topology is used to boost the PV array voltage. By the implementation of push-pull converter
topology and 3-Ф multilevel inverter motor can be driven efficiently. Cascade 5 level inverter is employed to
improve the efficiency of the system. SPWM technique is employed for switching of the inverter, to control the
motor and also to reduce the total harmonic distortion. Perturb and observe MPPT technique is used to extract
maximum power by the panel. Ultimately simulation circuits are developed in SIMULINK module and analyze
successfully.
Index Terms: Solar Photovoltaic Panel, Maximum PowerPoint Tracking, DC-DC Converter, Multilevel
Inverter, Sinusoidal Pulse Width Modulation, Induction Motor.
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Electronics &
Communication
Engineering
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
53
DESIGN AND TESTING OF LOW - COST REINFORCED GATE
DRIVE CIRCUIT AND VOLTAGE SOURCE INVERTER FOR
INDUCTION MOTOR
Sadanandam Perumandla1, Jaya Prakash
Nasam4
1Ph.D. Scholar, JNTUH, Hyderabad 1,4EEE Dept, Vaagdevi College of
Engineering
Warangal, Telangana State, India
Poonam Upadhyay2
2Professor & Head EEE Dept,
VNRVJIET, Bachupally
Hyderabad, Telangana State, India
A. Jaya Laxmi3
2Professor, EEE Dept,
JNTUCEH
Hyderabad, Telangana
State, India
Abstract: This paper presents the design, testing and its hardware implementation of a low-cost isolated gate
driver circuit and 3-phase 2-level Voltage Source Inverter (VSI) for Induction Motor. The proposed circuit is
designed based on commercially available gate driver ICs which can be used for many industrial applications
such as motion control, hybrid electric vehicles, and high power control. This will reduce the design cost of
implementation and provides reinforced isolation which is required for separating low power processor and high
power load. In the conventional driver circuits, separate DC power supplies, opto couplers for isolation, dead
time, snubber and protection circuits for safe operation of inverter power switches are required. This will
increase the design cost and propagation delay. In the proposed circuit, only one dc supply is used to feed the
power to all the driver circuits. The detailed design procedure for gate driver and a compact low-cost discrete 3-
phase 2-level VSI which gives snubber less operation is presented and compared with the module based VSI.
The experimental results demonstrate the validity of the circuit. The proposed gate driver circuit is implemented
with proper dead time between high and low side switches in a leg and bootstrapping is also calculated. The
designed isolated gate driver circuit and the discrete VSI are tested on a 3-phase Induction Motor under V/f
control mode with TMS320F28379D TI launch xl DSP controller with constant frequency triangular carrier
based SVPWM technique. Experimental results show that the proposed circuit provides reinforced isolation,
reduces the design cost and gives the best performance as compared to the conventional gate driver circuits.
Keywords: Voltage source inverter, PWM, dead time, propagation delay.
TWO FACTOR AUTHENTICATION SYSTEM
Prof Anitha S Prasad
Department of Electronics and
Communication
JSS Science and Technology
University(formerly SJCE)
Mysuru, India
Anusha B
Department of Electronics and
Communication
JSS Science and Technology
University(formerly SJCE)
Mysuru, India
Pannaga S
Department of Electronics and
Communication
JSS Science and Technology
University(formerly SJCE)
Mysuru, India
Abstract: The issue of security is of paramount importance in any organization, especially in a banks, entry of
candidates in examination halls, or even in home security systems. The aim of this project is to design a
biometric access control system that uses fingerprint scanning recognition along with OTP generation to
authenticate the user. Upon successful verification of the registered user, he/she will be granted access. If the
user is not previously registered, a message will be displayed conveying that access is denied. Hence this
Security System is a safe and reliable system to eliminate any form of impersonation.
Keywords: 2FA , OTP, CCD, GSM, PWM, IDE.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
54
PERFORMANCE ANALYSIS OF 8-BIT MULTIPLIERS
ARCHITECTURES
Abstract: Technological advancement has resulted in smaller transistors dissipating lesser power. However,
with the technology advancing beyond 45nms, transistors dissipate more power due to the short channel effects
leading to area-power trade-off. This is a major hindrance for the sustenance of Moore’s law. Research has been
carried out further using advanced devices like FINFET, CNTFET and GNRFET to reduce the leakage current.
Arithmetic unit, specially the multipliers dissipate significant part of the total power dissipated by the ALU of a
processor. The present research work proposes the implementation of 8-bit array multipliers along with the
advanced designs like modified Booth multipliers and modified Wallace Tree multiplier designs using CMOS
and GNRFET technologies. The comparison of the key performance parameters like operational delay, power
dissipation and power delay products of all the multiplier designs have been carried out. The results prove that
GNRFET based multiplier design offers better result in terms of Power Delay Product (PDP) as compared to
their counterparts.
Keywords: GNRFET, multiplier, modified Wallace tree multiplier, modified booth multiplier, power, delay,
PDP
GENETIC ALGORITHM BASED OPTIMIZATION OF VLSI CIRCUITS
Geetika Srivastava1*, Ashish Dixit2, Naresh Kumar Chaudhary3 , SachchidaNand Shukla4
1,3,4: Dr. RamManohar Lohia Avadh University Faizabad,(U.P.)224001
2: Amity School of Engineering and Technology, AUUP, Lucknow,(U.P.) 226028
Abstract: The design and production of VLSI systems are commonly known as Electronic Design Automation or
EDA. The EDA contains many complex steps that starts with the system specification and ends at physically
designed system. The Physical Design is considered as one of the most important and complex steps in creating a
VLSI circuit, which contributes greatly in overall efficiency and performance of the system. The input taken at
the Physical Design level is the logical representation of the system under design and the output of this stage is
the layout of a physical package that optimally realizes the logical representation. Physical design problems are
generally very large problems in sizes and combinatorial in nature, hence it becomes necessary to use heuristics
approach for solving such large problems. Nature is the biggest source of inspiration in almost all walks of life.
GAs are a subset of a much larger branch of computation known as Evolutionary Computation. Genetic
Algorithms (GAs) are search-based algorithms which are based on the concepts of natural selection. This paper
presents a review of evolutionary algorithms for VLSI circuit design at the physical design level and analyzes the
improvisation in the design time and efficiency. The requirements for evolutionary-based approaches for larger
domain of VLSI community will be analyzed.
M.T. Ganesh Kumar
ECE Department
Raffles University
Neermana, Alwar (Raj), India
Sandeep Malik
ECE Department
Raffles University
Neermana, Alwar (Raj), India
Madan H R
Project Manager
Tarento Technologies Pvt. Ltd.
Bengaluru, India
H. V. Ravish Aradhya
ECE Department
R V College of Engineering
Bengaluru, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
55
SIMULTANEOUS DIAGNOSE OF BEARING AND ROTOR BAR
FAULTS OF INDUCTION MOTOR USING ULTRA-WIDE BAND
RADAR SIGNAL ANALYSIS WITH WAVELET TRANSFORMS
Madhusudhana Reddy Barusu
Department of Electronics and Communication Engineering
Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala
Engineering College
Chennai, India
Meganathan Deivasigamani
Department of Electronics Engineering
Madras Institute of Technology, Anna University
Chennai, India
Abstract: This work uses high frequency signal from handheld Ultra-Wide Band radar (UWB) projected on
Squirrel Cage Induction Motor (SCIM) to measure the displacement and frequency of vibration of motor for
diagnosis of rotor bar faults non-invasively. The reflected signals from motor captured and processed with a
Software Phase Locked Loop, which acts as a low pass filter and used in place of the general hardware filter to
remove high frequency noise. The output of the phase locked loop analyzed with Rational Dilation Wavelet
Transforms (RDWT) and compares the change in the signal energy of wavelet sub-band frequency at level-6&7
for the combination of rotor bar and bearing faults respectively. For simultaneous rotor bar and bearing faults,
with the increase of number of faults the signal energy varies from 2.19% to 5.54% and 4.72% to 14.48%
respectively. The (SPLL based technique) proposed method able to diagnosis the individual faults and
combination of the faults and have advantages such as simple, cost effective and noninvasive compared with the
existing methods.
Keywords: Bearing faults, three-phase squirrel cage induction motor (SCIM), Handheld UWB radar, Rational
Dilation Wavelet Transforms (RDWT).
IOT BASED DIABETES DETECTION USING MACHINE
LEARNING ALGORITHMS
Rakshitha G V.
M.techstudent.
VLSI&embeddedsystem.Deptof ECE, PES College of
engineering. Mandya-571401.
Anand M.J.
Assistant Professor.
Dept.of E&C Engineering.PES College of Engineerg.
Mandya-571401,
India. [email protected]
Abstract: Diabetes Mellitus is considered as one of the most dangerous disease it can leads a person to several
complications.IOT sensors are used to monitor the activities, these are considered as input for arduino. For
diabetic detection in hospitals urine test conducted after blood test. In this project using color sensor can predict
the range of the blood glucose level. Normal range of blood glucose level is70mg/dl-130mg/dl(fasting) and less
than 180mg/dl (after meal).
Keywords: Diabetes mellitus, Blood glucose level, breath acetone concentration, linear regression.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
56
CLASSIFICATION OF CROPS ACROSS HETEROGENEOUS
AGRICULTURAL LANDSCAPE AT VILLAGE LEVEL USING HIGH
RESOLUTION SATELLITE IMAGE
Jayanth J1
Department of Electronics and Communication Engineering, GSSS Institute of Engineering & Technology for Women,
Mysore,
Karnataka 570 016, India [email protected]
Aravind R2
Department of Electronics and Communication Engineering, GSSS Institute of Engineering & Technology for Women,
Mysore,
Karnataka 570 016, India [email protected]
Amulya C M 3
Department of Electronics and Communication Engineering, GSSS Institute of Engineering & Technology for Women,
Mysore,
Karnataka 570 016, India [email protected]
Abstract: Analyzing the crops in a High-resolution satellite data with traditional computer classification
techniques have shown limited success. In low resolution data there is spectral confusions between some of the
classes, which will results in misclassification due to overallping of features during classification process. Since
the traditional per-pixel classifiers examine only the spectral variance ignoring and they require training data to
be normally distributed in the pixels corresponding to the land use/ land cover classes. Hence in this work we
are trying to hybrid Decision tree algorithm with fuzzy inference system (DT_FIS) to improve the classification
accuracy of an high resolution data, which are associated with the center and neighboordhood of pixels. The
classification map shows that DT_FIS approach has improved the classification accuracy and proven very useful
in delineating the spectrally overlapping classes, when compared with traditional classifier. DT_FIS shows an
improvement of 10.28% in case of Amanahalli, 4.8% for Belalihalli and 12.77% for Bokhalli is achieved in
overall classification accuracy on comparison with Maximum Likelihood classifier.
Keywords: DT_FIS, MLC, Dataset, LISS IV
IMPLEMENTATION OF SMART ANTI - THEFT VEHICLES
SECURITY SYSTEM USING IOT
Abstract: At recent time vehicle following structure is getting most reputation because of the rising number of
the taken vehicles. be that as it may present enemy of robbery frameworks come up short on the following and
observing capacity. vehicles taking from the unbound spots like leaving capacities shopping center college. the
evaluation work analyzes how to maintain a strategic distance from this sort of taking and gives progressively
noticeable security to the vehicles. the actualizing keen security framework contains single-load up which
installed with the AVR micro controller and Node MCU it will monitor the WIFI to on/off the vehicle engine
through an relay installed in the vehicle which is furnished with overall structure for flexible GSM and overall
arranging system GPS the use of GSM and GPS developments allows the structure to follow the thing. the
system also applied buzzer whether vehicle starts it gives an alert system purpose. the structure further more
applied buzzer whether vehicle starts it gives prepared system reason.
Keywords: AVRAtmega328, Node MCU, GSM, GPS, Relay, Web Application.
Mr. Manoj Kumar
M.Tech Student (VLSI and Embedded System)
Dept. of ECE
PESCE, Mandya 571401.
Dr. Punith kumar M.B
Associate Professor
Dept.of ECE
PESCE, Mandya
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
57
A SMART WATER DISPENSER BASED ON PLASTIC RECYCLING
Mr. Kumar B R
M. tech Student (VLSI & Embedded System)
Dept. of E&C Engineering
PES College of Engneering
Mandya -571401,India
Mrs. Nanda B S
Associate Professor
Dept. of E&C Engineering
PES College of Engineering
Mandya- 571401,India
Abstract: Water has become the most business results of the century. The Stress on the various water assets is a
consequence of numerous components. From one viewpoint, the rapidly rising masses and changing lifestyles
have extended the prerequisite for fresh water. In case open entryway costs were thought of it as, would be
obvious that in most nation locales, nuclear families are paying unquestionably more for water supply than the
every now and again run of the mill rates charged in urban zones. Likewise, if these expenses of bringing water
this is practically comparable. Presently a day's allocators are accessible and worked on just one coin. however
the point of this undertaking a shrewd water container dependent on plastic reusing process the need of manual
works to isolate plastic waste. Which is regularly tedious the greater part of the waste gets untreated which
passes significant risk to condition.
Keywords: Arduino Uno, load cell, sensors, GSM module, Arduino IDE
PROPOSAL OF A COST-EFFECTIVE WIRELESS POWER TRANSFER
SYSTEM FROM SOLAR USING AERIAL TECHNOLOGY
S Christo Jain1
Research Scholar
Dept of Electronics and Communication
K.S. Institute of Technology
Dr.Manju V C2
Professor
Dept of Telecommunication
K S Institute of Technology
Abstract: The proposed system focus on reducing the complexity and power loss during transmission of
electricity. Since we are using solar energy to harvest electricity we can avoid shedding down of power supply
as well as we can reduce the complexity since no wire is required for transmission. Through this system we are
focusing to supply electricity in remote areas where cable connection does not reach. This system is eco-
friendly , cheap and portable. Our system uses sunlight to produce power and this shall be transfer to devices
with the help of aerial. We can avoid breakage of electric lines and poles as well as transformer explosion.
Keywords : Solar, Aerial, wireless power transfer
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
58
REVIEW ON SYSTEM IDENTIFICATION USING ADAPTIVE
FILTERS
Abstract: System identification is one of the most important applications for adaptive filters, mainly for the
typical Least Mean Square (LMS) algorithm, due to its ease in calculations and the ability to withstand or
overcome any conditions. Based on the error signal (difference signal), the adaptive systems weights are
evolved and corrected, until the output signal of the unknown and adaptive system are equal. This application
helps to develop, do some research and create an opportunity for automatic prediction and correction.
Keywords: System Identification, Adaptive Filter, LMS, NLMS, RLS
MEASUREMENT OF HYBRID AND IMPEDANCE PARAMETERS
USING AN AUTONOMOUS SYSTEM
Abstract: This paper provides a system that measures and calculates the common two-port parameters, Z and h
parameters using a simple automated technique where the system measures calculates and displays the
parameter matrix. The purpose of this paper is to design a system that measures Impedance(z) and Hybrid(h) –
parameters of a given two port network, for laboratory use as commercially available instruments, serve no
practical purpose in UG laboratories or too expensive.
Keywords: Two Port Network Measurement Device, Z Parameter, h-parameter, Graphical User Interface
Syed Saalim
Student, Department of Electronics and communication
Engineering
Vidyavardhaka College of Engineering,
Mysuru, India
Anush M
Student, Department of Electronics and communication
Engineering
Vidyavardhaka College of Engineering,
Mysuru, India
Arpitha V Gowda
Student, Department of Electronics and communication
Engineering
Vidyavardhaka College of Engineering,
Mysuru, India
Sudheesh K V
Assistant Professor, Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering,
Mysuru, India
Anjali Rai
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering,
Mysuru, India
C Nikhita
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering,
Mysuru, India
Rahul L
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering,
Mysuru, India
Saba Daniya
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering,
Mysuru, India
Audre Arlene A
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering,
Mysuru, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
59
INTERNET OF THINGS BASED SMART ENERGY METER
Miss. PreethiAB
M.Tech Student (VLSI andEmbedded System)
Dept.of ECE
PESCE,Mandya571401
Dr. Punith KumarM.B.
Associate Professor
Dept. of ECE
PESCE, Mandya 571401
Abstract: The interest for power has expanded exponentially over last century. The system has been structured
dependent on the use of Smart Energy Meter to read energy units consumed and to get a precise reading for user
with the assistance of PZEM-004T . In the event if there is over use of power by user, ready message will be
send to user. Rustic regions will have lot of power cut issues so the arrangement is proposed in this paper such
that , Smart Energy Meter will measure power used and will be sent as message to power grid stations through
Thing speak server which helps for load balancing . So Smart Energy Meters are utilized to get precise reading
of power units , diminish the energy utilization in households and sent message to power grid stations which
helps in load balancing.
Keywords: Smart Energy Meter, Node-MCU, PZEM 004T.
REVIEW ON MICROCONTROLLER BASED ANESTHESIA
MACHINE
Abstract: Anesthesia usage is very effective and common in most of the surgeries performed. The dosage of
Anesthesia and the flow rate is usually determined by anesthetist. The aim of this paper has been to develop an
automated system that delivers the precise amount of anesthetic drug at a desired flow rate by monitoring patient
parameters like Heartbeat, body temperature, breathing rate, blood pressure. It is also crucial to analyze other
parameters required for proper operations which also includes signal acquisition, signal conditioning,
amplification. The prerequisites of this paper includes usage of microcontroller, heartrate sensors, pressure
transducers, software like MATLAB, and also usage of reconfigurable devices like FPGA .The microprocessor
used will analyze the data of the patient and the drug is injected at a particular rate by movement of a stepper
motor. An alarm is also sounded whenever the drug in the syringe gets emptied.
Keywords: Anesthesia, Heartbeat, Blood Pressure, Sensors.
Akshay Sharma A S
Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Chethan Ravindra Kabade
Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Hitesh K B
Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Sourabh R
Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Bhanu H S
Department of Electronics and
communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
60
A NOVEL LOW PROFILE MICROSTRIP ANTENNA ARRAY WITH
IMPROVED PERFORMANCE FOR 2.4 GHZ WIRELESS
COMMUNICATION APPLICATIONS
Shashi Kumar D
School of Engineering and Technology
CHRIST (Deemed to be University)
Bangalore, India
S Suganthi
School of Engineering and Technology
CHRIST (Deemed to be University)
Bangalore, India
Abstract: In this paper a novel 2x2 antenna array integrated with Electromagnetic Band Gap (EBG) structure is
presented. The EBG structure used in the proposed antenna is created by selecting a metallic square patch
element with side length of𝛌 𝟖⁄ . The performance of the EBG is explained with reference to improved gain and
bandwidth of the antenna array. To design and fabricate, FR-4 substrate having thickness of 1.6 mm is used.
From the simulated results it is observed that EBG integrated array is exhibiting gain of 7.08 dB at 2.4 GHz with
a fractional bandwidth (FBW) of 33.27% and in the measured results WEBG array FBW is 62.28% at 2.4 GHz
center frequency. This proposed 2x2 array can be suitable for applications at 2.4 GHz wireless communication
applications.
Keywords: Defected Ground Structures; Antenna Array; Corporate Feed; Wireless Applications.
SURVEY ON AUTOMATIC COLOR SORTING IN ROBOTIC ARM
USING ARTIFICIAL INTELLIGENCE
1Archana P, 2Spoorthi M P, 3Vishalakshi S, 4Gagan M, 5Tejaswini S 1, 2, 3,4UG Scholar,Vidyavardhaka College of Engineering, Mysuru, India
5Assistant Professor,Vidyavardhaka College of Engineering, Mysuru, India
Abstract: Deep learning is a technology which plays a vital role in the innovation of intelligent system. In
today’s world every production unit requires sorting mechanism; therefore to achieve this mechanism deep
learning method which employs convolution Neural Network is used as a standard tool. For CNN standard
dataset including various lighting and background conditions are used as input. Object detection is initiated by
feature extraction algorithm which is sent to classifier. In this paper the focus is on the design of color sorting
robotic arm aiming at higher accuracy with larger datasets to improve efficiency.
Keywords: artificial intelligence, robotic arm, machine learning, Convolution Neural Network, objects
detection.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
61
DUAL BAND OPERATING RECTANGULAR PATCH ANTENNA FOR
MM-WAVE
Priyadarshini K Desai
Dept. of ECE
BNMIT
Bangalore, India
Dr Basavaraj I Neelgar
Dept of ECE
BNMIT
Bangalore, India
Abstract: The wireless communication technology is heading towards 5G, in which the data rate is expected to
be 100Mbps, Small Cell base station stands as one of the strong contender that promises to keep the 5G
standards with the base station operating using multiple antenna system that operate at mmWave. As the
spectrum allocation for 5G is 20GHz to 30GHz and next band from 60GHz and above base station antennas
must be carefully designed. The data rate, system capacity of the small cell base station will be improved if
multiple antennas used are capable to operate at two different bands of allotted frequency. This paper proposes a
dual band rectangular patch antenna that operates at 24GHz and 28GHz of mm-Wave band frequency.
Keywords: Rectangular patch, Dual Band, 5G
ULTRASONIC SMART STICK FOR VISUALLY IMPAIRED
Abstract: The Ultrasonic smart stick comes as a proposed solution to enable visually impaired persons to
identify the world around. The system is designed to act as an artificial vision. The proposed system consists of
four sensors: ultrasonic sensors, IR sensor, water sensor and light (LDR) sensor. It is controlled by the ESP 32
microcontroller to receive the sensor signals.
GPS navigation in the mobile can be used to guide the visually impaired in new and unfamiliar places. The user
can use an earphone to listen to the navigation directions that are coming from the google voice assistant.
Emergency buttons[SOS] can be provided on the stick.
Keywords: Visually Impaired, Smart Stick, ESP 32, Ultrasonic Sensor, GPS/GSM, Voice Assistant.
VARUN SHILESH
Electronics and Instrumentation
Engineering Dept.
RNS Institute of Technology,
Bangalore, India
ABHILASH M.
Electronics and Instrumentation
Engineering Dept.
RNS Institute of Technology,
Bangalore, India
AKSHAJ SHIVARA
MADHUSUDHAN
Electronics and
Instrumentation Engineering Dept.
RNS Institute of Technology,
Bangalore, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
62
DIAGNOSIS OF ALZHEIMER’S DISEASE USING MULTI-LAYER
PERCEPTRON NETWORK FOR
URBAN POPULATION
Abstract: Dementia is an age relateddisorder related to degeneration of neurons. Alzheimer’s disease(AD) is a
caused due to neuro degeneration and this accounts to around 66% of Demented.In the last two decades, the
number of people suffering from neurodegenerative disorders has been increasing exponentially.Early diagnosis
of the disease is one of the prime concerns.The objective of this paper is to classify the subjects using Multi-
Layer Perceptron Network and too compare the result with other type of model evaluation.The dataset
comprises of details of 466 subjects including both men and women with different education levels. To reduce
the dimensionality, feature selection is applied. Multilayer Neural network is used for classification. Two
different Multi-Layer Perceptron Network (MLPN) structures are used. Model is evaluated using cross
validation and Training set for both single and multiple hidden layers. The results are compared. The
performance parameter, namely classification accuracy is 99.35%, precision is 0.993 and Recall is 0.994 for
Multi-layer perceptron networkfor 10-fold cross-validation. For the same dataset, Training set shows better
results compared to 10-fold cross validation.The findings infers that, for the same dataset MLP has better
classifier accuracy, precision and recall in comparison with Naïve Bayes.
Keywords: Neuropsychological assessment, Alzheimer’s disease, ,Feature selection, Multilayer neural network,
Naïve Bayes
HIGH SPEED AND LOW POWER IMPLEMENTATION OF K-MEANS
CLUSTERING ALGORITHM FOR IMAGE ANALYSIS
Anuradha.M.G
Department of Electronics and Communication
JSS Academy of Technical Education
Bengaluru, India
Basavaraj.L
Department of Electronics and Communication
ATME College of Engineering
Mysuru, India
Abstract: Image clustering plays an important role in the analysis of an image. K-Means is one of the popular
algorithm used for image analysis. Due to its iterative nature, time required to perform the clustering operation
cannot satisfy the real time requirement. To satisfy the real time constraints, a new methodology is proposed
where the input image once read need not be stored for further clustering operation and hence the area required
for the implementation is drastically reduced. The proposed K-Means algorithm is implemented using Virtex-6
FPGA and the results show that the architecture can process 199 image frames per second irrespective of the no
of clusters when a 256X256 image is processed. Also the proposed hardware is a solution for low power
implementation with power consumption of 0.6 watts.
Keywords: K-Means Clustering;FPGA;Image analysis;
Bhagyashree S R1
ECE Department 1ATME College of Engineering
Mysore, India
Murali krishna2
2Wellcome DBT Allianz, CSI Holdsworth Memorial
Hospital
Mysuru, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
63
REVIEW ON SOLDIER POSITION & HEALTH TRACKING SYSTEM
Bibi ZoyaNureen
Department of Electronics and Communication VVCE
Mysore, India [email protected]
Mohith P
Department of Electronics and Communication VVCE
Mysore, India [email protected]
Harshith M
Department of Electronics and Communication VVCE
Mysore, India [email protected]
B S Varun
Department of Electronics and Communication VVCE
Mysore, India [email protected]
Dr Chandrashekar M Patil
Department of Electronics and Communication
VVCE
Mysore, India
Abstract: Soldiers play a crucial role in defending the nation, they can face threats from enemies such that they
can infiltrate during the war. For avoiding injuries to the soldiers we are planning to build a device which
monitors the soldier’s health &position tracking. In order to build such a device, the authors are using a GPS
receiver to track the coordinates of the soldier and for monitoring the health status, heart beat sensor and
temperature sensors are used. By using these components, we are trying to implement a system for the protection
of soldiers at low cost, portable and precise device. Although the technology has advanced but cannot help in
reducing the casualties of war, they can at least be deployed to reduce war effects. The way is to help is by
tracking and monitoring the location, health condition and other health parameters of the soldiers in warfield.
Keywords: GPS, Heart Beat Sensor, Temperature Sensor.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
64
A STUDY ON IOT TECHNOLOGIES FOR FIRE SAFETY SYSTEM
Brunda N
Student, Department of Electronics
and Communication Engineering
Vidyavardaka college of engineering,
Mysuru, Karnataka, India.
Chandan R
Student, Department of Electronics and
Communication Engineering
Vidyavardaka college of engineering,
Mysuru, Karnataka, India.
Lavanya N R
Student, Department of Electronics
and Communication Engineering
Vidyavardaka college of engineering,
Mysuru, Karnataka, India.
Prajwal G M
Student, Department of Electronics
and Communication Engineering
Vidyavardaka college of engineering,
Mysuru, Karnataka, India.
Panchami S V
Assistant Professor, Department of
Electronics and Communication
Engineering,
Vidyavardaka college of engineering,
Mysuru, Karnataka, India.
Abstract: Fire safety is one of critical thing where monitoring and detection should be done continuously in real
time, in this paper we have discussed a smart IoT system with its hardware and software design and how it
operates in a view of a city or a building with its advantages and disadvantages and applications. By above study
we can come to conclusion that an IoT based fire system has its own pros and cons based on need of a user and
environment, it can be customized and can be used accordingly.
Keywords: IoT, Image processing, WSN, GSM, Temperature sensor
DESIGN OF 64X64 SINGLE PORT SRAM ARRAY USING 45NM
Chandra Shekar P*, Abhilash G**
Department of ECE ATME College of Engineering
Mysuru, India
*[email protected], **[email protected]
Abstract : Memory collections are a necessary structure in any digital systemto synchronize the memory with a
rapid processor, where the information at a very high rate of speed is extremely hard to meet the necessities with
existing 8X8 cluster. SRAM configuration assumes an imperative part in expanding the required speed. The
objective is to prepare the floorplan of an SRAM in order to estimate the transistors and check the read and
compose operations for the device. A detailed layout is was built to create a compact cell and the simulation of
the circuit is done with specifications for 45nm at 1.1 Volts. In turn, the frequency of the clock signal plays a
crucial factor in determining the overall performance of the circuit. The proposed work is operating with an
input voltage of 0 to 1.1V with a clock frequency of 100MHz. Cadence Virtuoso Schematic Editor is utilized for
circuit outline, usefulness of the circuit is broken down and checked using Cadence Virtuoso Specter instrument.
The DRC and LVS are performed for every one of the circuits in SRAM. In the long run, an incorporated
SRAM circuit is planned and actualized.
Keywords : Speed, Read and write, SRAM, Virtuoso, Spectre, DRC, LVS
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
65
A STUDY AND SSIM ANALYSIS
ON CAMERA RAW IMAGE PROCESSING
K Murugesh
Department of Electronics and Communication Engineering
MVJ College of Engineering,
Bangalore, India
Dr. Mahesh P K
Department of Electronics and Communication Engineering
ATME College of Engineering,
Mysuru, India
Abstract: RAW — a multimedia file with image details collected by the camera concerning the pixel values of
the sensor and the text information. The processing of RAW is important ignoring the replication of images, to
save space, to encourage the operation of image files and to have continuous capture. The RAW is emphasized
as a digital adverse and varies according to the scale depending on the manufacturer of the hardware. The
proposed workflow is to Extract and process RAW sensor information from the RAW files and view the picture
format details. Image quality is the significant parametric quantity that defines the captured RAW image. With
no built-in compression (RAW) the most extreme resolution brings about great picture from any advanced
camera. The MATLAB R2016a was used to execute the purpose of the workflow and the analysis. The show
consistency is guaranteed and also evaluated by the parametric efficiency metric-Structural Similarity Index
(SSIM).
Keywords: RAW Image, SSIM, Sensor information.
A REVIEW ON DESIGN AND IMPLEMENTATION OF STANDARD
AND MACRO CELLS OF AES
ALGORITHM
Pooja L Kanth1, K M Sathyanarayan1, Mohammed Shoaib U1, Vinayaka D1, Geethashree A2 1Student, 2Associate Professor
1,2Department of ECE, Vidyavardhaka College of Engineering, Mysore, India-57002
Abstract: Cryptography plays a vital role in securing confidential data of the user from being accessed by a
third person. It is used to protect and secure businesses corporate secrets, classified information of the
government and personal information of people and guards against identity theft. The Advanced Encryption
Standard (AES) algorithm is a symmetric encryption algorithm which is approved by the U.S government as a
standard for encrypting sensitive and private data. This algorithm is developed by Joan Daemen and Vincent
Rijmen and published by National Institute of Standard and Technology (NIST) in 2001. This paper summarizes
the different techniques used to implement Advanced Encryption Standard (AES) Algorithm. The software
implementation of the AES algorithm is cost effective and easier to implement. However, hardware
implementation has greater speed and security. This paper proposes a hardware implementation of ASIC which
can combat the disadvantages of the existing system.
Keywords: AES algorithm, S-Box, Software implementation, ASIC implementation, FPGA implementation
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
66
DETECTION OF VARIOUS STAGES OF LUNG CANCER
Prathibha M K
Electronics and communication Engineering
ATME College of Engineering
Mysuru, India
Anupama Shetter
Electronics and communication Engineering
ATME College of Engineering
Mysuru, India
Abstract: All over the world day by day Lung cancer death rate has been increased continuously. In order to
reduce the death rate suffering from the cancer, it must be detected during the initial stage. So that overall
survival rate can be in- creased significantly if cancer is detected at an early stage. Generally, lung cancer is
detected either by using Computed Tomography (CT) or X-ray image. The present method detection of lung
cancer involves several diagnosing methods and it takes more time. By applying an image processing
knowledge for the acquired lungs images, the amount of time required for detection of lung cancer stages can be
reduced.
Keywords: smoothing; Region of Interest; images; classification; correlation
REVIEW ON FRACTIONAL-N FREQUENCY SYNTHESIZERS
Abstract: Modern wireless transmission systems have increasing demands for frequency synthesizers. In this
paper, a survey on designing an efficient Frequency synthesizer to suit a wide range of potential applications is
researched. Various technologies existing currently and their parent technologies have been analyzed and the
best results are extracted in the current research to suite a better design. In this review various parameters such
as wide frequency coverage, fast switching speed, small step size and adequate spectral purity, low cost,
compact size are analyzed. Even with the increasing demand for VLSI technology, a huge gap is identified in
designing the synthesizers for PLL using VLSI technology.
Keywords: Frequency synthesizer, Phase locked loops, Voltage controlled Oscillators
J B Akshaya
Department of Electronics and
Communication
VVCE
Mysore, India
V R Narasimhun
Department of Electronics and
Communication
VVCE
Mysore, India
Irshad T Y
Department of Electronics and
Communication
VVCE
Mysore, India
Vaibhav M H
Department of Electronics and
Communication
VVCE
Mysore, India
Dr Suchitra M
Department of Electronics and
Communication
VVCE
Mysore, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
67
MOVING OBJECT DETECTION AND TRACKING:
A REVIEW
Chandana Sharvani S M [1]
Dhanyatha Jayanth [1]
Saathwik Boregowda [1]
Akash M D [1]
[1] Student, Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering, Mysuru
Karnataka, India
Kavya A P [2]
[2] Assistant Professor, Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering, Mysuru
Karnataka, India
Abstract: The process of locating moving objects in a consecutive video frame is known as Object Tracking.
Tracking an object in real time is a challenging task, such as motion-based recognition, automated surveillance,
traffic monitoring etc. Tracking an object is difficult in most of the cases due to changing background, abrupt
motion of the object, camera motion etc. Though numerous algorithms have been proposed to detect and track
an object with demonstrated success, detecting and tracking of an object remains challenging when it has to be
done in large scale, shape, motion etc. This paper hence reviews various elaborate methods to detect and track
an object in motion.
Keywords: Object detection, Object representation, Point tracking, Shape tracking, Structured dictionary
learning; Visual sensor networks, Kalman filter, Image detection
DESIGN AND DEVELOPMENT OF SYSTEM TIME DOMAIN
PARAMETERS MEASUREMENT DEVICE
Krishnapriya J , A Swarna , Suraksha Y S , Yeshwanth N , Jagadeesh B
Department of Electronics and Communication
Vidyavardhaka college of engineering
Mysore, India
Abstract: Time domain analysis has an essential role in determining a system behavior. The existing systems
used to obtain time domain parameters are expensive. The main purpose of this work is to replace these systems
with portable and affordable devices. In this paper, step response of electrical circuit is analyzed. Any
programming language can be used to show output on GUI. Parameters like impulse response, rise time, settling
time and peak overshoot can be calculated.A review of the work is done in this paper.
Keywords: TimeDomain Parameters, Step Response, Rise Time.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
68
A REVIEW ON DESIGN AND IMPLEMENTATION OF AN ANALOG
TO DIGITAL CONVERTER, DIGITAL TO ANALOG CONVERTER
AND NOISE AMPLIFIER
Abstract: The ADC DAC and LNA are the essential components for radio communication .The various methods
used to design an ADC, DAC and LNA circuits for Software defined radio, different techniques in CMOS
technology, the right selection of ADC, DAC and LNA and also various architectures are discussed here.
Circuits of ADC, DAC and LNA is done using CMOS circuits. The advantages of using CMOS circuits are very
low static power consumption and the complexity of the circuit is reduced.
Keywords: ADC- Analog to Digital Converter, DAC- Digital to Analog Converter, LNA- Low noise amplifier,
RF- Radio frequency, SAR- Successive Approximation Register, IQ- In phase and Quadrature phase, BW -
Bandwidth, SNR- Signal to Noise Ratio.
A LITERATURE SURVEY OF IMAGE PROCESSING TECHNIQUES
IN DETECTING BRAIN TUMOR
Salva Biswal, Nishka S, Thejus M D, Vijay Kumar K M, Girijamba D L
Department of Electronics and Communication
Vidyavardhaka college of engineering
Mysore, India
Abstract: The brain is the most important part of central nervous system. Brain tumor is defined as the
abnormal mass of tissues in which cells grow and multiply uncontrollably. The main task of the doctors is to
detect the tumor which is time consuming. Medical imaging thus, has become highly demanding. There are
various methodologies to extract the tumor region using image processing technique. This paper is a survey of
various algorithms that have been applied on scanned images of brain. The paper includes different filtering
techniques for noise reduction and segmentation techniques to differentiate the defected area in the scanned
brain image. The enhancement of scanned image of brain helps the surgeons to study and diagnose the tumor
efficiently with higher accuracy.
Keywords: Brain tumor, noise filtering, segmentation, feature extraction
Rashmi R
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Pushpak J
Department of Electronics and
Communication Engineering
Vidyavardhaka College of
Engineering
Mysuru,india.
Shubham S N
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Srilakshmi S
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Dr.C.M.Patil
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
69
A REVIEW ON DIFFERENT NAVIGATION TECHNIQUES FOR
BLIND PEOPLE
Humaira Fatima, Rakshitha Raj R, Prajwal D,
Sri HarshaSomayaji K
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Sahana MS
Assistant Professor
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Abstract: In regular day to day existence individuals face various issues for their motion. The fundamental aim
is to acquire a gadget which is suitable for the entire visually impaired Community. Inongoing occasions they
have developed various gadgets to help. However, the greater part of themhave certain issues for conveying, and
it needs a lot of preparing to utilize. The normally existing strategies are awkward to utilize so as to defeat with
their confinements we have to propose another framework which gives less reliance in their day by day
exercises. This paper includes giving data about the various strategies they have proposed to build up a safer
route which can make them less needy which inturn assists with moving with certainty.
Keywords: Navigation, Ultrasonic sensors, Panic button.
IOT EARLY FLOOD DETECTION AND AVOIDANCE SYSTEM
Abstract: Flooding is usually brought on by an increased quantity of water in a water system, like a lake or a
river . In cases of a dam getting fractured, abruptly releases a massive quantity of water. The outcome of such a
situation is that a large amount of the water travels into the soil, and floods the region . Apart from the
destruction of products ,house, office, property and street infrastructures, flood water consists of bacteria and
sewage flow of waste sites and chemical spillage which leads to a variety of diseases eventually. Flood
predictions need information like:The speed of change in river stage on a real time basis, which may help
indicate the seriousness and immediacy of this threat.Understanding of the form of storm generating moisture,
such as length, intensity and a real extent, which is valuable for discovering potential seriousness of the flood. In
this system we make use of a Arduino Uno interfaced with 4 different sensors, named as Ultrasonic sensor for
measuring water levels , float sensor to detect water level, Flow sensor for knowing speed of water and humidity
sensor for weather conditions. These combination of sensors are used to predict flood and alert respective
authorities with the help of IOT and sound instant alarm in nearby villages to instantly transmit information
about possible floods. These sensors provide information over the IOT using a Wifi module. On detection of
conditions of flooding the system predicts the amount of time it would take to flood in a particular area and
alerts the villages/areas that could be affected by it. The system also calculates the time it would take for flood
to reach them and provides some time to the people in order to evacuate accordingly.
Keywords: Iot flood detection, flood avoidance system, Arduino
Ann Mary Chiramel
Department of Electronics and
Communication
Dayananda Sagar University
Bengaluru, India
Deyashene Nag
Department of Electronics and
Communication
DayanandaSagar University
Bengaluru, India
MalavikaSajith
Department of Electronics and
Communication
DayanandaSagar University
Bengaluru, India
NanditaRao
Department of Electronics and
Communication
DayanandaSagar University
Bengaluru, India
Divyashree H B (Assistant prof.)
Department of Electronics and
Communication
DayanandaSagar University
Bengaluru, India
Dr. PayalVerma
Department of Electronics and
Communication
DayanandaSagar University
Bengaluru, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
70
SURVEY ON SELECTIVE IMAGE ENCRYPTION TECHNIQUES
Manoj N, Vaishnavi R and Kruthi M M Student, Department of ECE,
Vidyavardhaka College of Engineering, Mysuru, India.
Kiran Assistant Professor, Department of ECE, Vidyavardhaka College of Engineering,
Mysuru, India
.
Abstract: In recent days the usage of social network and the multimedia Sharing is rapidly increased. Due to
loopholes in the network security, hackers are easily hacking the social networks. Many encryption and
decryption algorithms are developed by the developers. But these algorithms are being outdated and being easy
for hackers to breach the network. Therefore, these outdated methods fail to provide security against new
attacks. This paper gives an overview on some of the encryption and decryption methods used in recent times.
Protection of data or information plays a very big role in every field (Medical fields, Navy, Army & Air force).
Keywords: MATLAB, Digital image encryption, Chaotic algorithm, Encryption, Decryption, Information
security.
A REVIEW PAPER ON BRAINWAVE SENSOR FOR IDENTIFICATION
AND CONTROL OF HYPERTENSION
Abstract: High Blood pressure (High BP) which is understood as hypertension in medical terms,
inflicted due to lot of pressure within the blood vessels. No sooner the guts drive than it directs the blood
continuously to ramparts of veins which causes stress. The guts where within the blood driven causes the
High Blood pressure. Now the prevailing paper deals with various practicing methods and researchers
which are used for the detection and analysis of hypertension with none physical medication. The paper
also deals at analyzing the great outcomes and overcoming the barriers faced by the
various methodologies and surveys. Here we've analyzed different approaches with the primary method
deals Hybrid Wavelet method and K-means cluster method. The second approaches with neuro-fuzzy and
adaptive symbolic logic, while the third paper specialize in mining class association with multiple features.
The fourth paper specializes in physiological signals from wearable devices. The last methodology is
predicated on ANN based information gain algorithm for diagnosis of hypertension. The paper concludes
with an excavation of the measure advantages of all the practices and exposures to an efficient and best
method
Keywords: Hypertension, Hybrid Wavelet, K-means, Wearable devices, PubMed. MeSH.
Praveena Sindagi
. Asst. Professor, Dept. of Electronics and Communication
Engineering,
Government Engineering College,
Raichur, India
e-mail : [email protected]
Dr. Mahesh P K
Prof. and HOD, Dept. of Electronics and Communication
Engineering,
ATME College of Engineering,
Mysuru, India
e-mail: [email protected]
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
71
PHYSICAL DYNAMICS AND STEADY STATE ANALYSIS
SIMULATION AND STUDY OF COMPREHENSIVE MODELS OF
TYPE 1 DIABETES
Abstract: The need of comparative analysis of two plant model of type 1 diabetic patient, which helps in
choosing an appropriate patient model to develop the control algorithm for blood glucose regulation. The model
can be chosen based on the dynamics of the plant and steady state analysis of the model. This type of approach
in selecting the model highlights the individual compartmental analysis and the behavior of the model. Two
patient models which include the insulin and glucagon chosen are Sorensen and Dallaman model. A better
understanding of these models helps in identifying individual model components which represents true
physiological system response. The mathematical model of Sorenson and Dallaman model are studied and
simulated to learn the individual behavior of the parameters associated with them. A steady state analysis of
both the models are simulated and analyzed, Sorenson model is said to be a complex model but gives a quick
response when simulation is compared to Dallaman model. Such a model can be further used for the research
and development of dual control of Artificial Pancreas.
Keywords: Blood glucose, Steady state analysis, Sorenson Model, Dallaman Model
THE VISION AND EMBEDDED SYSTEM BASED REAL-TIME ROBOT
PATH PLANNING: A REVIEW
Dr. Sandeep Bhat1, Dr. M. S. Nagananda1 and Dr. M. Meenakshi2
1Mangalore Institute of Technology Engineering,Moodabidre,Mangaluru,India 2Dr. AIT Bengaluru,India
Abstract: The robots are performing the tasks with effectively and accurately. Now a day a human work is
replaced by the robot. The major fields where the robots are implementing namely: the military, health care,
automobiles, agriculture and many more. Its popularity is growing and almost all types of labour work,
repetitive work, skillful work are assigned to robots. Here, the current state of robots and its impact on selected
areas are studied. And the preliminary results of path finding are added as supplements to this paper.Its scope in
the four different fields is thoroughly studied to explore further possibilities of robotics and its implication on
the society. This paper also gives the review of the different robot path planning and their field of applications.
Keywords: ASIMO; Path planning;Robot ;
Cifha Crecil Dias
Department of Instrumentation and
Control
Manipal Institute of Technology,
Manipal Academy of Higher
Education
Manipal, Karnataka,India,576104
Surekha Kamath
Department of Instrumentation and
Control
Manipal Institute of Technology,
Manipal Academy of Higher Education
Manipal, Karnataka,India,576104
Sudha Vidyasagar
Department of Medicine
Kasturba Medical college, Manipal
Academy of Higher Education
Manipal, Karnataka,India,576104
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
72
REVIEW ON HARDWARE ACCELERATOR DESIGN AND
IMPLEMENTATION OF AES ALGORITHM FOR IMAGE
ENCRYPTION
Abstract: In the growing information era, information distribution and transferal has amplified exponentially.
Safety, integrity, privacy, and verification services are the most significant factors in information security.
Images extremely donate to communication during this age of the multimedia. Encryption is a technique of
retaining the privacy of images. This paper presents a comprehensive study of various techniques for image
encryption. The existing technology is analyzed with respect to algorithm, type of implementation, memory
management, and mathematical computations. The main aim of this paper is to present the different
characteristics of image encryption techniques involved. Many researchers’ developments on improving
algorithm’s performance is reviewed in this paper. (Abstract)
Keywords: Encryption; Cipher; Algorithm; Entropy; Security; Cryptography; Image; Decryption (key words)
Deeksha P
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Mokshith B
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Sharath Kumar K
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Ayaz Jaffar
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
Dr.Suchitra M
Department of Electronics and
Communication Engineering
Vidyavardhaka College of Engineering
Mysore, India
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
73
BIOMETRIC BASED AUTOMATIC RATION VENDING MACHINE
Amrutha
Department of electronics and
communication
Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Gowrish Kumar D
Department of electronics and
communication
Engineering
Vidyavardhaka College of
Engineering
Mysuru,india.
Lavanya R
Department of electronics and
communication
Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Priyanka M K
Department of electronics and
communication
Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Rohith k
Department of electronics and
communication
Engineering
Vidyavardhaka College of Engineering
Mysuru,india.
Abstract: Present day, distribution system has downsides such as inaccurate amount of products and large
waiting time, ration theft at shop. The aim of this system is to replace conventional manual ration shop with an
automated system which is based on biometric. The proposed system is one of the effective ways to FPDS for
ration distribution which is more precise, fast and productive. This system uses fingerprint reader for user
verification. An ARM controller (STM32F103xx) used that will control ration dispense and GSM module is
used to send SMS about details to the registered phone number.
Keywords: ARM controller (STM32F103xx), FPDS, fingerprint , GSM module.
A SURVEY ON HAND-DRAWN ELECTRIC CIRCUIT DIAGRAM
DETECTION AND RECOGNITION
M S Abhinav, Shrimanth V L, Ganesh P N and
Nishanth P V
Students, Department of ECE
VidyaVardhaka College of Engineering
Mysuru, India. [email protected],
[email protected] and [email protected]
Bhargavi K
Assistant Professor, Department of ECE
VidyaVardhaka College of Engineering
Mysuru, India.
Abstract: A brief survey on the methods of recognizing the handwritten electric circuit is presented in this
paper. It includes the detection of components present in the circuit and hence the recognition of the circuit. In
components detection, we first extract the features present in the component such as LBP and statistical features
based on pixel density. Then we train the SVM classifier and hence use it to classify the components in the
circuit. We also use the position and sequence of arrangement of the components to determine the type of circuit
such as parallel or serial circuit. Then FSM model is used to obtain the sequence of components where the
obtained sequence is represented as a string. The obtained string is then fed to FSM model to detect and
recognize the circuit.
Keywords: component; SVM Classifier; LBP; FSM model.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
74
DRAINAGE OVERFLOW DETECTION
Uday J
Department of ECE
Mangalore Institute of Technology and Engineering
Moodabidri, Karnataka, India
Rajithkumar B K
Department of ECE
R V College of Engineering
Bengaluru, Karnataka, India
Dr. Mohana H S
Department of ECE
NDRK Institute of Technology
Hassan, Karnataka, India
Dr. H S Prabhakara
Department of CSE
NDRK Institute of Technology
Hassan, Karnataka, India
Abstract: The underground drainage infrastructure is a significant element of city organization. Drainage
overflow detection is prerequisite condition to plummet adverse impacts on city environment. Therefore, it is
essential to have a system that could evaluate underground drainage without human interventions.
Advancements in Machine vision system enabled timely detection and reduction of drainage overflow. This
paper mainly focuses on evaluation drainage overflow detection using Image processing techniques. Manhole
images are analyzed using Image processing toolbox of MATLAB. Canny edge detection algorithm is used to
detect edges in an image. Circular Hough transformation is performed on image to detect circles and image is
segmented using Binary conversion to extract relevant features. HSV colour features are extracted and Lucas-
Kanade method is applied to estimate optical flow. Distance based classifier is used to detect overflow based on
trained models. The GSM module will send information about drainage overflow. Rain sensor is interfaced to
differentiate drainage overflow and rain.
Keywords : Resize Image, Canny Edge Detection, Circular Hough Transform, Lucas Kanade
INTELLIGENT WHEELCHAIR FOR HANDICAPPED PERSONS
Pavithra A C 1PRAJWAL M 2PUNYA M 2 RUPESH KUMAR G V 2YASHWANTH V2
Assistant Professor Student Student Student Student
Department of ECE ATMECE, Mysuru,
Abstract: Smart robotic wheelchair has a great significance in life of a disabled person. With several merits, a
wheelchair becomes a dilemma for a disabled person when comes to self-propulsion. This project describes an
economical solution of robot control systems. The presented wheelchair control system can be used for different
sophisticated robotic applications. The robotic wheelchair comprises of the features like sensing hindrances and
circuitry to avoid colliding to obstacle. Implementing embedded systems solution on self-propelled wheelchair
enhances upgradability. Physical disability is a curse to human life. The fundamental operation of the
wheelchair to handicapped person with safe movement. For ensuring the safety of movement, obstacle sensing,
crack detection and living being identification features have been included. Additionally, a controlled LCD has
been provided considering the case of auditory disabled people. Access to control hone appliances has also been
offered.
Keywords : Arduino kit, Relay, DC Motor, IR sensor module and Accelerometer sensor
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
75
A LABVIEW BASED INSTRUMENTATION SYSTEM FOR A WIND-
SOLAR HYBRID POWER STATION
Pavithra A C1
Assistant Professor
Department of Department of ECE
ATMECE, Mysuru
Veronika A 2
Shilpa shree S 2
Nithyashree S K2
student
ATMECE, Mysuru
Abstract: Range of renewable energy technologies are from the well-established, such as hydropower, to the
emergent, such as a wind-solar hybrid system. To measure and control system variables each technology has its
own individual instrumentation a requirement. The LabView data acquisition hardware and software module has
become one of the most widely used tools to capture, view, and process controls, instrumentation, and power
system data both in academia and the industry (Franz, 2003, and Travis, 2002) from National Instruments. A
LabView based real time data acquisition and instrumentation of a 1.5 kW wind-solar hybrid renewable energy
system. The addition of the new LabView module to the system provides the much-needed real time information
on the system variables, such as wind speed, wind direction, dc power, ac power, ac/dc voltages and currents.
To provide a hands-on laboratory experience related to electrical, electronics, and instrumentation this real-time
data acquisition system is being used extensively. This paper discusses many aspects of data acquisition,
instrumentation, interfacing, and programming based on an existing 1.5 kW wind-solar hybrid power station.
Keywords: LabView, anemometer, Solar photovoltaic panels and Charge controller and inverter
TEMPERATURE PROFILE TRACKING IN A PILOT PLANT BATCH
REACTOR HEATING USING MPC AND CASCADE CONTROLLERS
Sushmitha Poojarya Eadala Sarath Yadavb
Thirunavukkarasu Indiran d* aPG Student M.Tech(CS) bResearch Scholar dAssociate Professor.
a,,b,dDept.of Instrumentation and Control Engineering,Manipal Institute of Technology, Manipal Academy of Higher
Education, Manipal – 576 104, Karnataka, India
*E-mail: [email protected]
Janani.Rc cAssistant Professor
cDept of Electronics and Instrumentation Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
University, Enathur, Tamil Nadu -631561, India
Abstract: In industrial scenario batch reactor temperature control is very crucial and important to improve the
product quality, production rate and minimize the operating costs. This paper presents design of MPC and
cascade controllers for lab scale batch reactor using reduced first order plus dead time (FOPDT) model and the
model has been used to track the optimal temperature profile. The performance of both MPC and cascade
controllers has been evaluated in terms of temperature profile tracking and ability to reject the disturbance
during the process.
Keywords: batch reactor, online optimization, temperature profile, nonlinear model, cascade controller, MPC.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
76
A MEM ELECTRIC FIELD SENSOR FOR CHARACTERIZATION OF
CHARGES IN RESONANT ELECTROSTATIC-CAPACITIVE MEMS
DEVICE: A SYSTEMATIC SURVEY
Prakruthi HL
Department of ECE
Malnad college of Engineering
Hassan, Karnataka, India
Dr. Payal Verma
Department of ECE
Dayananda Sagar University
Bangalore, Karnataka, India
Abstract: Microelectromechanical systems (MEMS) are playing a vital role in technology particularly in the
industrial Applications. For the past two decades, trends and usage of MEMS has been drastically increased due
to its wide and variety of applications. These include not only the automotive domain for automation but also in
medical instrumentation, industrial process control, telecommunication industries, consumer domain,
environmental weather monitoring, military etc. As a result, MEMS technology has become one of the most
rapidly developing fields in market. Electrostatic driving, migration or movement of charges in dielectric
material and capacitive read-out, play a significant role in micro electro mechanical system. In this paper we
propose a report, which gives the review on an electric surface potentials, accelerometer, extensive experimental
characterization, focused on the influence of the surface separations, pull-in instability, drift phenomenon and
investigation of the behavior of charges in MEMS devices to derive and validate the rules for the design and
fabrication process of MEMS devices. This review article provides a systematic comparison of the methods and
processes used by various authors in designing MEMS electric field sensor and ways to improve their
performance is discussed.
Keywords: Microelectromechanical systems (MEMS); surface charge potential, capacitive.
ARDUINO INCLINOMETER USING MPU6050
Keerthi A Kumbar
Department of Electronics and Communication Engineering
ATME College of Engineering
Mysuru, India
Guruprasad K N
Department of Electronics and Communication Engineering
ATME College of Engineering
Mysuru, India
Abstract: Inclinometer is a gadget used to quantify the tilt edge over the surface from where they are put upon.
Be that as it may, these are truly powerless to commotion brought about by their developments. In this manner,
they are reasonable under unique conditions. Though right now, is utilized to examine the sign under unique
condition, this can be fabricated carefully and observed utilizing android application. For remote access
telephone module is utilized and it shows the qualities from MPU6050 sensor utilizing appropriate stage like
ARDUINO processor without taking a gander at equipment. The Inclinometer structured would be made
convenient by setting MPU6050 sensor on an automaton or in any segregated spots and in airplanes.
Keywords: Inclinometer, MPU6050 gyro sensor, Arduino etc.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
77
A SURVEY ON FRONTIER BASED STRATEGIES FOR MULTI
ROBOT EXPLORATION
1Arpitha Shankar S I,
Department of Electronics and
Communication Engineering
GSSSIETW, Mysuru, India
2Dr. M. Shivakumar
Department of Electronics and
Communication Engineering
GSSSIETW, Mysuru, India
3Dr. K.R Prakash,
Department of Mechanical
Engineering
NIE, Mysuru
Abstract: Multi robot system does the tasks quicker than a single robot. Multi- Robot system is used for the
applications where the time is crucial. Hence to do the exploration task we are considering multi robot system.
The multi robot system will search for best bath and takes minimum time to explore the environment.
Exploration task involves localization, path planning map building and map merging techniques. Many
strategies will be used to cover the areas within a minimal time. This paper will present different strategies for
area exploration by multi robots.
Keywords: Multi robot System, localization, Exploration, path planning, navigation.
EVALUATION OF THREE IMAGE FUSION TECHNIQUE USING
MAXIMUM LIKELIHOOD CLASSIFIER
Shalini V S
Asst Prof Electronics and communication dept
ATME college of enginnering
Mysore, India
Aravind R
Asst Prof Electronics and communication dept
GSSSIETW college of enginnering
Mysore, India
Dr. Jayanth J
Assoc Prof Electronics and communication dept
GSSSIETW college of enginnering
Mysore, India
Abstract: Quality assessment of pansharpening fusion methods used for classification of images is the objective
of this article. The technique of combining panchromatic image having high spatial resolution with image having
lower spatial resolution is known as pansharpening. Care must be taken so that spectral characteristics of
multispectral data should be preserved while carrying pansharpening processs. Three different methods of image
fusion are compared to show their ability to fuse image data from IRS P-6 sensor (PAN data 2.5m) and IRS P-5
sensor (LISS IV data 5.8m). The obtained fusion images are analyzed visually and quantitatively to obtain spatial
improvement and preservation in characteristics. Compared to all fusion methods, WT+HIS fusion method is
superior and it is the only algorithm which guarantees good color preservation of the data and sensor used.
Among the three conventional image fusion techniques, the Wavelet+IHS method is the best in improving
classification accuracy. The statistical measures, which are adopted for the evaluation of image fusion techniques-
except TD, do not exhibit concurrency with OCA.
Keywords: Image fusion; pansharpening,; classification; quality assessment Introduction
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
78
LI-FI TECHNOLOGY: THE SMARTER FASTER SECURE ENERGY
EFFICIENT DATA TRANSMISSION TECHNOLOGY AND AN
ENABLING TECHNOLOGY FOR INTERNET OF THING
Chethan Kumar D
Dept of Electronics
Yuvaraja’s College, University of Mysore
Mysore, Karnataka, India
*e-mail: [email protected]
Dr S Chandramma
Principal (Rtd)
Maharaja’s Evening College
University of Mysore, Mysore, Karnataka, India
Abstract: Objective of this paper is to transmit text data using Li-Fi technology.It is paramount that we find a faster
means of communication. Light Fidelity – more commonly referred to as Li-Fi- is one such concept that can become
the possible alternative. Li-Fi is a wireless optical networking technology that uses light emitting diodes (LEDs) for
transmission of data, and decoded on the receiver side which consists of a photodetector. This happens in the form of a
binary transmission of data, where ‘0’ is the LED in its ‘off-state’ and ‘1’ is the LED in its ‘on-state’.
Keywords: Visible Light Communication(VLC); Li-Fi; Internet of Things (IoT)
LI-FI TECHNOLOGY: THE TRANSMISSION OF DATA THROUGH LED
LIGHTS USING LI-FI TECHNOLOGY
Chethan Kumar D
Dept of Electronics
Yuvaraja’s College, University of Mysore
Mysore, Karnataka, India
*e-mail: [email protected]
Dr S Chandramma
Principal (Rtd)
Maharaja’s Evening College
University of Mysore, Mysore, Karnataka, India
Abstract: Li - Fi (Light Fidelity) is a VLC based Technology that making a light as a media of communication
replacing the cable wire communication. Li-Fi Technology is evolved to overcome the rate speed in Wi-Fi
Technology, while using Li-Fi Technology the rate speed can reach until 10 GBps. This paper presents an introduction
of the Li-Fi technology to transfer Audio data through LED lights. The result of this paper can be used as a reference
for further developments and researches in the fields based on the Li-Fi Technology.
Keywords: Visible Light Communication; Li – Fi Technology; Internet of Things (IoT)
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
79
NANOWIRE TRANSISTORS: A NEXT STEP FOR LOW POWER
DIGITAL TECHNOLOGY
K.N.V.S.Vijaya Lakshmi2
Department of E.C.E,
Sri Vasavi Engineering College,
Tadepalligudem, India,
Abstract: As conventional Complementary Metal Oxide Semiconductor (CMOS) reaches the extreme
limitations to implement the Digital circuits with high density and low power dissipation. Transistors made
from Nanowire achieve a tradeoff between the power and density to implement the digital circuits. To keep the
Moore’s Law Alive and to implement the processors with tiny devices, the researchers are trying to produce the
Nano devices which are alternative to the conventional devices. Among the emerging Nano devices Nanowire is
a most prominent device to replace the CMOS at nanoscale for low power digital technology.
Keywords: Nanowire; Field Effect Transistor (FET) power; density and low power digital technology.
AREA EFFICIENT FULL-ADDER & FULL-SUBTRACTOR DESIGNS
USING QCA
K. Bhagya Lakshmi1, S. Chandra Vamsi3 and S. Tejaswi4
1,3,4Dept of E.C.E, Sasi Institute of Technology and Engineering, Tadepalligudem, India.
D. Ajitha2
2 Dept of E.C.E, Sreenidhi Institute of Science and Technology, Hyderabad, India
Abstract: Quantum-Dot Cellular Automata (QCA) is a unique technology that substitutes the CMOS
technology. QCA is an innovative nanotechnology for binary logic synthesis. A Transistor-less Nano computing
device that has high speed, very less power usage and dissipation, more packing density. In this paper, design of
a unique Full-Subtractor is constructed, which is area efficient, having less number of clock zones and low
latency. To construct Full Subtractor a unique Ex-or gate is proposed. The proposed design of Full Subtractor
and Full Adder having 22 (23) cells, which decreases the area to 0.0192µm2 (micro meter square) compared to
best existing designs until date. To check the working and performance of the proposed design, QCAdesigner is
used which is familiar tool for QCA designs.
Keywords: Quantum dot Cellular Automata (QCA), Full-Subtractor, Complementary Metal Oxide
Semiconductor (CMOS) technology, Exclusive-OR (EX-OR) gate, QCADesigner.
D.Ajitha1
Department of E.C.E,
Sreenidhi Institute of Science and Technology
Hyderabad, India,
K. Bhagya Lakshmi3
Department of E.C.E,
Sasi institute of technology and Engineering,
Tadepalligudem, [email protected].
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
80
PROGRAMMABLE REMOTE CONTROLLER
Geetha M N
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, Karnataka
Haripriya S M
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, Karnataka
Pooja A S
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, Karnataka
Rashmi M S
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, Karnataka
Sandyashree C
Department of Electronics and Communication Engineering
Vidyavardhaka College of Engineering
Mysore, Karnataka
Abstract: Programmable IR remote Controller is a controlling device, which performs all the functions
performed by remotes of multiple devices used in home, college and in industry. The programmable IR remote
is a brand independent which has a receiver unit fixed to the device and expect the manufacturers to adhere to a
code. The Codes of different remote will be stored in PC. When a device need to be operated then code of a
particular remote will be uploaded to the remote through USB from PC.
Keywords: IR Transmitter and Receiver (TSOP), Light Emitting Diode (LED), Microcontroller.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
81
MACHINE LEARNING AND EEG IN DIAGNOSING DEPRESSION: A
SURVEY
Pradeep Kumar Y
Department of ECE
ATME College of Engineering
Mysuru, India
Dr. Bhagyashree S R
Professor, Department of ECE
ATME College of Engineering
Mysuru, India
Abstract: Early diagnosis of depression is considered as critical since this issue can become severe and at its
worst, can lead to person’s self-harm and also early diagnosis helps in preventing depression rather than treating
it. Aim of this paper is to review the mainstreaming of Machine Learning tools in health informatics and
focusing on diagnosis of depression based on the data obtained from electroencephalographic (EEG)
recordings.
Keywords: Machine Learning; EEG; Depression; Diagnosis
DTMF CONTROLLED METAL DETECTOR ROBOTIC VEHICLE
USING METAL DETECTOR CIRCUIT AND ARDUINO
Kavyashree M K
Dept. of Electronics & Communication Engineering
Sri Jayachamarajendra College of Engineering
Mysuru, India
Megha K M
Dept. of Electronics & Communication Engineering
JSS Science and Technology University
Mysuru, India
Abstract: This paper describes the implementation of DTMF controlled Robotic vehicle with metal detection
using Arduino. The proposed system consists of Arduino and a metal detector circuit. The Arduino is interfaced
with DTMF to operate the robot. The DTMF receives these commands and moves the robot according to the
received commands. A metal detector is interfaced to the robot. The metallic objects are detected by simple
method. Thus, whenever any metallic object is detected buzzer starts ringing.
Keywords: DTMF; Arduino; Metal dtetcor circuit
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
82
LI-FI TECHNOLOGY: THE TRANSMISSION OF VIDEO DATA
THROUGH VISIBLE LIGHTS USING LI-FI TECHNOLOGY
Chethan Kumar D Dept of Electronics
Yuvaraja’s College, University of Mysore Mysore, Karnataka, India
*e-mail: [email protected]
Dr S Chandramma Principal (Rtd)
Maharaja’s Evening College University of Mysore, Mysore, Karnataka, India
Abstract: With the increasing popularity of solid-state lighting devices, Visible Light Communication (VLC) is
globally recognized as an advanced and promising technology to realize short-range, high speed as well as large
capacity wireless data transmission. In this paper, we propose a prototype of real-time audio/video broadcast
system using inexpensive commercially available light emitting diode (LED).An 8-bit serializer and de-
serializer is used for high speed data transmission. This Experimental shows that real-time high-quality video
can be achieved through proper layout of LED sources and improvement of concentration effects.
Keyword: Visible Light Communication; Li-Fi; Serializer; and de-serializer.
AGRICULTURAL AUTOMATION USING IOT
Saima Sadaf, Ms. Anupama Shetter
Dept. of Electronics and Communication Engineering
ATME College of Engineering
Mysore, India
Syed Fazil Ahmed, Ranjini DR, Nithish Athreyas S R
Dept. of Electronics and Communication Engineering
ATME College of Engineering
Mysore, India
Abstract: With the advancement of science and up to date technologies, the eye of scientist is getting directed
towards two fields – Farming and Robotics System. But the mix of those two technologies can serve
efficiently for several problems by overcoming the limitation of previous technologies. This paper is to develop
a robot capable of performing operations like automatic ploughing, seed sowing, fertilization and water
sprinkling. additionally, to the present, obstacle detection and clearance also are done. of these operations are
controlled via Bluetooth module. The qualitative development of this paper is request for a system which
minimizes the working cost and reduces the time for digging task and everyone these tasks are done by
using solar power to run the agricultural robot. the most aim to develop this device is that it can automatically
control agricultural operations.
Keywords: Solar Panel, Arduino, Bluetooth, Sensors.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
83
OBSTACLE AVOIDING VEHICLE
Bhuvan MS
Electronics and communication dept
ATME college of engineering
Mysore,India
Manjaunath K
Asst Prof Electronics and communication dept
ATME college of enginnering
Mysore, India
Abstract: The ability to detect and avoid obstacles in real time is an important design requirement for any
practical application of autonomous vehicles. Therefore, a significant number of solutions have been proposed
for this problem. Unfortunately, most of these solutions demand a heavy computational load, which makes them
difficult, if not impossible, to implement on low cost, microcontroller based, control structures, This paper
proposes a novel, reactive algorithm for real time obstacle avoidance, compatible with low cost ultrasonic
sensor, fast enough to be implemented on embedded microcontrollers. We called this algorithm “the bubble
rebound algorithm”. According to this algorithm, only the obstacles detected within an area called “sensitivity
bubble” around the robot are considered.Upon detection of an obstacle, the robot “rebounds” in a direction
having the lowest density of obstacles, and continues its motion in this direction until the goal becomes visible,
or a new obstacle is encountered. The performances and drawbacks of the method are described, based on the
experimental results with simulators and real robots.
Keywords: Obstacle Avoidance; Ultrasonic sensor; Reactive Algorithm.
PROPOSED OFDM SYSTEM USING DIFFERENT MODULATION
SCHEMES AND VARIED CYCLIC PREFIX LENGTH FOR WIMAX
SYSTEM
Sonika Thakur, Prof. Himanshu Monga
Dept. of Electronics and Communication Engineering
JNGEC Sundernagar
Abstract: With the development of wireless communication, WiMAX has become the highly interested area for
global telecom operators and manufacturers to meet the requirement of 4G.WiMAX uses orthogonal frequency
division multiplexing (OFDM) technique for multiple transmissions. IEEE 802.16 (WiMAX) based OFDM
system includes various modulation schemes as BPSK, QPSK and various levels of QAMs. Also Cyclic Prefix
(CP) is the major part of the OFDM system. It is used to completely eliminate both Inter-Symbol Interference
(ISI) and Inter-Carrier Interference (ICI) as long as the CP length is greater than the channel delay spread. The
system performance can be checked by estimating the BER for various modulation schemes which are chosen
on the basis of the channel conditions.
Keywords: WiMAX, OFDM, Cyclic Prefix, ICI, ISI, BER
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Mechanical
Engineering
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
84
PREPARATION AND INVESTIGATION OF ALUMINIUM-ALUMINA
METAL MATRIX COMPOSITE
Mallikarjuna G. B1 1Assistant Professor, Dept. of Mechanical Engineering
Kalpataru Institute of Technology
Tiptur, India
email:[email protected]
E. Basavaraj2 2Professor, Dept. of Mechanical Engineering
Jawaharlal Nehr National College of Engineering
Shivamogga, India
email:[email protected]
Abstract: Composites materials are the most prominent materials for engineering applications. Metal matrix
composites (MMCs) shows significantly improved properties compared to base alloys. Aluminium based MMC’s
have wide applications in automobiles, aerospace and marine sectors etc. The aluminium matrix composites
mechanical properties are strongly dependents on microstructural parameters like shape, size and distribution of
reinforcement particles. Therefore, the selection of variables is important to optimize the composites properties.
Among various particulates used, alumina particle is one of the most economical and low density reinforcement
available in bluk quantity in nature. In this study, aluminium alloy LM13 and 3%, 6%, 9% and 12% (by weight)
alumina reinforcement of various micron size (106, 150, 250 and 355µm) composites were prepared by stir
casting route. To study the structural characterization of the prepared composites optical microscope is used. It is
observed that the alumina particles uniform distribution in the matrix material and also the bonding between
reinforcement and matrix is good. The hardness of the prepared composites were increased with increasing the
amount of alumina in aluminium alloy. Experimental results shown that there is icreased mechanical properties,
when the addition of alumina weight 9% to the base aluminium alloy and also similar trend exists in all four
arious micron size particle.
Keywords: Al LM13 alloy , Alumina, Mechanical properties, Stir casting.
AERODYNAMIC CHARACTERISTIC MATERIAL FOR ENHANCING
EFFICIENCY OF WIND TURBINE
Sowrabh Kugunavar
Dept. of PG Studies, Govt. Tool Room & Training Centre, Mysore
Karnataka, India
e-mail: [email protected]
Abstract: With the exhausting finite resources like crude oil, natural gas, coal, fossil-fuel etc.… the demand for
non-renewable energy resources has increased over time. A wind turbine is one of the power generating devices
which taps the wind energy and converts it into electrical energy and it is considered as a quality grade
sustainable green energy. This paper proposes a framework to enhance the mass properties of the wind turbine
blade, that increases the efficiency of the turbine. To avoid the damage caused by the stress concentration
because of the axial load, aerogel a mechanically robust material having aerodynamic characteristic mainly
contributes in minimizing the weight of the component while maintaining the required mechanical properties
such as strength and durability. Parameters like inertia and torque have a major contribution to the working of
the wind turbine; therefore, the mass of the wind turbine blades play a vital role. Heavier the turbine blades
higher the chances of catastrophic failure. The enumerated results are analyzed and comparative study is made
among the currently used turbine blade materials that are aluminum, glass fibre reinforced polymer, carbon fibre
reinforced polymer where the density of these materials is considered as a key property.
Keywords: Aerodynamic characteristic; Catastrophic failure; Green energy; Inertia; Mechanically robust
material; Torque
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
85
AN INVESTIGATION INTO THE EVALUATION OF TOOL AND
THERMAL CHARACTERISTICS FOR OPTIMIZATION OF PROCESS
PARAMETERS IN MACHINING TOOLSTEEL
Srikantappa. A. S
Cauvery Institute of Technology,
India (e- mail: [email protected]).
Shubha. S.K,
Abstract: Turning is a machining process in which a cutting tool, typically a non-rotary tool bit,
describes a helix toolpath by moving more or less linearly while the workpiece rotates.Machining of High Carbon
High Chromium steel (HCHCr) is a challenge for production engineers in tool industry. In this research paper, a
study on turning HCHCr Steel using tungsten carbide tool inserts is made by varying depth of cut, the cutting and
feed rate speed one each at a time and keeping other two constant. The effect on process parameters like surface
finish, material removal rate, tool wear, Cutting force, thrust force and temperature distribution on tool tip
arediscussed.
Index Terms: Turning process, HCHCr Steel, Uncoated and Coated Tungsten Carbide Toolinserts
RECENT PROGRESS IN EXTRUSION HONING PROCESS: AN
OVERVIEW
Jayasimha SLN,
Research Scholar,
Department of Mechanical Engineering,
P.E.S. College of Engineering,
Mandya-571401, India
H.P. Raju,
Professor,
Department of Mechanical Engineering,
P.E.S. College of Engineering,
Mandya-571401, India
Abstract: The ultimate operation accomplished in any of the production process is finishing. As the prerequisite
for surface integrity enhances, the price of the commodity escalates exponentially. The need for surface finish of
one-micron improvement on component surface increments the cost greatly. Surface texture plays a vibrant role
on significant tribological properties such as wear resistance and power loss due to friction in most of the
assembly elements. Manufacturing of machine elements for precision, accuracy and tolerances within the limits
is a complicated, unavoidable and laborious in nature. The remedy for such a barrier is extrusion honing (EH).
This is an unconventional finishing process where in many shearing edges at irregular positions achieve material
removal in the form of minute chips compared to traditional methods. This process has a diverse use in variety
of industries such as automotive, aerospace, defence, medical, tool and die making. Some of the examples
include nozzles, impellers, precision dies, micro holes etc. The current article makes an attempt in identifying
the diversified opportunities available in EH process and efforts of the research scholars to evaluate the surface
characteristics and material removal under different input conditions, optimization of process parameters, real
time monitoring, simulation, modelling, developments and applications of EH process.
Keywords: Extrusion Honing (EH), Surface Finish, Material Removal (MR)
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
86
DESIGN AND DEVELOPMENT OF AIR BLAST SHOT PEENING
MACHINE TO STUDY THE EFFECT OF SHOT PEENING PROCESS
ON MICROSTRUCTURE AND RESIDUAL STRESS IN AL-2024
ALUMINUM ALLOY
Suresh Kumar. S
Associate Professor, Department of Mechanical Engineering
ATME College of Engineering- Mysuru, India
E-mail: [email protected]
Dr. G. Mallesh
Professor Department of Mechanical Engineering, SJCE,
Mysuru, India
Abstract: Shot peening is a cold working process used to produce a compressive residual stress layer and
modify the mechanical properties which enhances the surface hardness, roughness, residual stress and fatigue
life of the components by striking a surface with shot to create plastic deformation. Shot peening can be done
using air blast systems and centrifugal blast wheels. In the air blast systems, shots are made to strike on a peened
surface with high pressure air and accelerated through a nozzle and in the centrifugal blast wheel shots are
introduced through rotating wheel by the centrifugal force. Selection of the peening process depends on the type
of material and size of the components. In this paper attempts are made to design and develop air blast shot
peening machine to study the effect of peening on Al-2024 aluminium alloy. It is evident from the results that
use of peening process enhances hardness, surface roughness and residual stress in the material.
Keywords: Air Blast Shot Peening Machine, Al-2024 aluminium alloy, Residual stress
DESIGN AND ANALYSIS OF A SUCTION CUP IN BORE-WELL TO
RESCUE THE CHILDREN
Sriramireddy.K
Research scholar, Department of Mechanical
Engineering, VFSTR.
Andhra Pradesh, INDIA
Emailid:[email protected]
D.Satyanarayana
Professor, Department of
Mechanical Engineering, VFSTR.
Andhra Pradesh, INDIA
Email id:[email protected]
Ravikumar Mandava
Assistant Professor, Department of
Mechanical Engineering, VFSTR
Andhra Pradesh, INDIA
Email id:[email protected]
Abstract: Our Indian government or the technology we have is not enough to protect the babies of toddlers who
have fallen into a bore well in India or other countries. Such knowledge or technology is tom improve to protect
children in these circumstances. To overcome these circumstances, proposing a new mechanism to rescue child
from bore well in current research lifting mechanism is design and model in creo 2.0 software.NBR rubber
materials are available in market for suction Cup. Suction cup is modeled in creo 2.0 with different thickness
and diameter. Different baby weight is acts on this suction cup according to that simulation is done in ansys to
identify is best suitable suction Cup is to hold baby long time. The results are explained that, Deformation, stress
and strain is less for the case5 i.e., the suction cup is designed for the 43mm diameter with 3mm thickness when
compared to other four cases.
Keywords: Suction cup, NBR Rubber, Creo 2.0 and Ansys.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
87
THERMAL PERFORMANCE OF GAS TURBINE BLADE WITH AND
WITHOUT INTERNAL COOLING
T. Sreedhar
Research Scholar, Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
B. Nageswara Rao
Professor, Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
K. Mourya balaji
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
Akash.R
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
Abstract: Gas turbines are mostly used in power generation, aerospace, and industrial applications. By
providing internal Cooling in the gas turbine blade, therefore, the heat transfer rate improves. The cooling air is
passed into the rib-enhanced serpentine passages into the blades to achieve inter cooling. Internal cooling heat
transfer improves by the application of Impinging jets, pin fins, and dimples. To achieve maximum heat
transfer, the internal Cooling path to be optimized so currently existing design of the gas turbine blade is
replaced with the new design. In this paper, a turbine blade (with and without cooling) is designed and modeled
in Creo 2.0 software. The materials used for the Gas turbine blade are Titanium, Nickel and Inconel 625. The
CFD Simulation is done. The pressure distribution, velocity, temperature distribution, mass flow rate, and heat
transfer rate are more for the Reynolds numbers 12x105 compared with 9x105, 10x105, and 11x105.
Keywords: Gas turbine blade; internal cooling; CFD; Reynolds number
FABRICATION AND TRIBOLOGICAL CHARACTERISTICS OF
AL6061-B4C METAL MATRIX COMPOSITES
Vasanth Kumar H S
Assistant Professor, Department of
Mechanical Engineering, Government
Engineering College,
Kushalnagar,[email protected],
Dr. U. N. Kempaiah
Professor, Department of Mechanical
Engineering, UVCE, Bangalore
University, Bangalore.56000
Dr. G. Mallesh
Professor, Department of Mechanical
Engineering, Sri Jayachamarajendra
College of Engineering,
Mysusru.570006
Abstract: In the present day engineering design and development activites many Scientists, Researchers and
Engineers are striving hard to develop new and better engineering materials, which accomplishes high strength,
low weight and energy efficient materials since the problems of environment and energy are major threshold
areas. The development of new materials is growing day by day to replace the conventional materials in
aerospace, marine engineering, automobile engineering industries etc., Hence, composite materials are found to
be an alternative. A variety of metals and their alloys such as Aluminium, Magnesium and Titanium are
comprehensively used as matrix materials. Among these Aluminium alloys have been used extensively,
because of their excellent strength, low density, corrosion resistance and toughness. Similarly, many researchers
have attempted to develop aluminium based metal matrix composites using different reinforcements. Among
these reinforcements, B4C emerged as an exceptional reinforcement due to its high strength to density ratio,
possesses high hardness and avoid the formation of interfacial reaction products with aluminium. Hence, in this
paper attempts are made to fabricate Al 6061 - 3, 6, 9 and 12 wt.% B4C metal matrix composites by stir casting
process to study the wear loss and coefficient of friction using Pin on Disc (POD) as per the Design of
Experiments (DOE). Wear loss and co-efficient of friction decreases with increase in the wt.% of hard B4C
particles and noticed form the ANOVA and regression analyses that reinforcement plays a vital role in the
development of Al 6061- B4C composite system.
Keywords: Al 6061- B4C composite, POD, wear loss and COF
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
88
SYNTHESIS OF LIMONIA ACIDISSIMA (WOOD APPLE) SHELL
MICRO AND NANOPARTICLES VIA TOP-DOWN APPROACH
Vasantha Kumar S N
Assistant Professor, Mechanical
Engineering Department
Canara Engineering College
Mangalore, India
Govardhan Goud
Professor and Head, Mechanical
Engineering Department
Bahubali College of Engineering
Shravanabelagola, India
Sharath P C
Assistant Professor, Metallurgical
Engineering Department
Jain University
Bangalore, India
Abstract: The need for completely/partially biodegradable composites has promoted the use of agricultural
waste as probable alternates for synthetic fillers for polymer and metal as reinforcement. In this study, through a
ball-milling approach, the degree of refinement of Limonia Acidissima shell was investigated. Using a disc
grinder, the Limonia Acidissima shell was pulverized and refined under different milling durations (45 and 70
hours) using the top-down method. The morphology of micro and nanoparticles obtained from Limonia
Acidissima shell was analyzed using a scanning electron microscope and Transmission electron microscope.
The sizes of micro and nanoparticles were determined using particle size analyzer and image-J software. The
different composition of shell powder was examined using Energy-dispersive spectroscopy and the crystallinity
index of shell powder was determined using X-ray diffraction. Particle size analyzer shows that an average
particle size of 284.8 ± 125.4 µm was obtained from the pulverizer and average particle size of 45 and 70 hours
milled powder was 1.409 ± 1.011 µm and 60.23 ± 12.8 nm respectively. The crystallinity index of Unmilled, 45
and 70 hours milled powder was 41.74%, 40.61%, and 38.33% respectively.
Keywords: Limonia Acidissima; ball milling; micro, and nanoparticles
IMPACT OF GRIT GEOMETRY ON THE ABRASION WEAR
BEHAVIOR OF GLASS – BASALT HYBRID THERMOPLASTIC
COMPOSITES
Rudresh B M
Department of Mechanical
Engineering, Government Engineering
College, K R Pet -571426
Karnataka State, India
Ravikumar B N
Department of Mechanical
Engineering, Bangalore Institute of
Technology, Bangalore -560004
Bangalore – 6560004, India
Madhu D
Department of Mechanical
Engineering, Government Engineering
College, Ramnagaram -571426
Karnataka State, India
Abstract: the abrasion wear behavior of Glass - Basalt hybrid composites in two body wear mode under the
impact of varying abrasive particle size has been investigated. The blend (PA66/PTFE)(80/20 wt.%), Blend/10
wt.% short glass fiber(SGF), Blend/ 10 wt.% short basalt fiber (SBF) and Blend/ 10 wt.% SGF and 10 wt.%
SBF (GB) were the material systems used for investigation. The melt mix method and injection molding were
the processes used for the production of these hybrid composites. The abrasion wear test due to interaction of
two bodies was conducted through ASTM G99 method. The experimentation response showed that synergistic
effect between fibers and matrix played the significant role in enhancing the abrasion wear resistance. The
volumetric loss of hybrid composites has been impaired due to increase in the rank of grit size. Further, it is
proved that the wear behavior of composites is independent of grit size at higher order of grit. Fiber debonding,
microcutting, microploughing and matrix deformation were noticed during the morphological study through
SEM image
Keywords: Blend (PA66/PTFE); Hybrid; two body; abrasion effect; basalt fiber
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
89
OPTIMIZATION OF ASYMMETRIC SPUR GEAR TOOTH
Dr. G. Mallesh
Professor: Department of Mechanical Engineering
Sri Jayachamarajendra College of Engineering,
JSS Science and Technology University,
Mysore, India
Pradeep Kumar V G
Assistant Professor: Department of Mechanical Engineering
Sri Jayachamarajendra College of Engineering,
JSS Science and Technology University,
Mysore, India
Abstract: Gears are the mechanical devices that are used to transmit power from one point to another and are
classified as Spur, Helical and Bevel gears. These gears have suffered by various defects such as backlash,
undercut and interference. Currently, these defects can be reduced by increasing the pressure angle or by
increasing the addendum of mating gear and several researchers have addressed these issues by modifying the
involute geometry. Hence in the present research work attempts are made to develop non-standard spur gear
tooth by varying pressure angle on drive side to estimate bending stress using finite element software
ANSYS.18.2
Keywords: Spur gears, Asymmetric teeth, Bending stress, FEA.
EFFECT OF HEAT TREATMENT ON CORROSION BEHAVIOR OF
AL 2014 BASED HYBRID COMPOSITE FOR MARINE APPLICATION
Ranganatha S R
Asst.Prof, Department of mechanical engineering, DBIT, Bangalore, Karnataka, India Email:[email protected]
Shantharaja M
Asso.Prof, Department of mechanical engineering, UVCE, Bangalore, Karnataka, India
Email:,[email protected]
Abstract: This present research deals with the fabrication of Al 2014 reinforced with boron carbide and short
copper coated Basalt fiber based Hybrid metal matrix composite through stir casting process and evaluate
corrosion behavior in sea water for both ascast and heat treated composites by weight loss method. The
corrosion characteristics of Al 2014 / B4C/short basalt fiber based hybrid composites were experimentally
assessed. The corrosion test was carried out at sea water solution for different exposure time of 48, 96, 144 and
192 hrs. The results indicated that corrosion rate of metal matrix composites was decreased with increasing the
wt% of reinforcements under the corrosive atmosphere for all exposure time and also result depicted that the
effect of Boron carbide on Al 2014/Short copper coated basalt fiber shows good corrosion resistance as
compared to the effect of Basalt fiber and also observed heat treated composite shows better corrosion behavior
as compared to ascast composites and also analyze the morphology of corrode surface by using SEM it is clearly
shows heat treated composites shows less corrosive product on surface of specimen as compared to ascast
composites. This corrosion analysis can be utilized to replace the conventional marine application materials
with aluminium Hybrid metal matrix composites having better corrosion characteristics.
Keywords: Al2014, HAMCs, Boron carbide, Basalt fiber, sea water, Coatings, Stir casting and corrosion rate
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
90
STUDY OF THREE BODY ABRASIVE WEAR BEHAVIOR OF GLASS
FIBER – POLYESTER COMPOSITE AT DIFFERENT FILLER
LOADING
Sandeep.B
Faculty , Department of Mechanical Engineering, VVIET,
Mysuru, Karnataka, India
Email of corresponding author:
Justin F. UG Student ,
Department of Mechanical Engineering, VVIET, Mysuru,
Karnataka, India.
Abstract: The use of graphite as a filler material on three-body abrasive wear behavior of glass fiber –
unsaturated polyester composites has been tested and analyzed. Dry sand abrasion test was carried out at 200rpm,
a standard speed. The test was carried out at 23 and 33N loads by varying the abrading distance from 270 to
1080m in increments of 270 m. The worn-out samples were measured for there volume losses by a precise digital
weighing balance. The wear losses in glass fiber- unsaturated polyester composite in which, graphite filler was
used, which showed good resistance towards wear at specific percentage of it. The studies indicate the reason for
good wear resistance is due to varying percentage of graphite filler in this composite material.
Keywords: Abrading distance, polyester, graphite, filler.
HEAT TRANSFER PERFORMANCE USING DIFFERENT NANO
FLUIDS IN A CONCENTRIC TUBE HEAT EXCHANGER BY
ARRANGING LOUVERED STRIP
T. Sreedhar
Research Scholar, Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
B. Nageswara Rao
Professor, Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
K. Mourya balaji
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
K.V. Surya Harshith
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
Abstract: Heat exchanger is a device which can transfer the heat from one source to another. A metallic solid
wall acts as a medium which can separate the two fluids and can transfer the heat though this wall. Nano fluids
have higher thermo-physical properties and having high thermal conductivity to enhance the heat transfer. In
this project, analysis is going to be administrated to work out the sweetening of Heat transfer characteristics of
concentric tube device victimization Nano fluids. The nanoparticles are metallic, non-metallic and CNT with
base fluid at totally different volume fractions. CFD analysis will be performed on the heat exchanger with
different velocities to determine temperature difference from inlet to outlet and compared for the Nano fluids.
3D modeling of the concentric tube device is shapely with totally different insulation materials that are going to
be creating in Creo 2.0 and heat transfer rate, heat transfer coefficient, pressure drop and friction factor are done
in CFD analysis Ansys 19 for different Reynolds numbers.
Keywords: Heat Transfer; Concentric Tube heat exchanger; Nanofluids; Creo 2.0; Ansys 19
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
91
ESTIMATION OF HEAT TRANSFER IN RADIATOR USING
DIFFERENT KINDS OF NANO FLUIDS IN CFD
T. Sreedhar
Research Scholar, Department of
Mechanical Engineering
VFSTR Deemed to be University,
Vadlamudi
Guntur - Andhra Pradesh - 522 213
India
B. Nageswara Rao
Professor, Department of Mechanical
Engineering
VFSTR Deemed to be University,
Vadlamudi
Guntur - Andhra Pradesh - 522 213
India
M.P.Suresh
Department of Mechanical
Engineering
VFSTR Deemed to be University,
Vadlamudi
Guntur - Andhra Pradesh - 522 213
India
M. Sai Sasivanth
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
N.S.R. Surya Prakash
Department of Mechanical Engineering
VFSTR Deemed to be University, Vadlamudi
Guntur - Andhra Pradesh - 522 213 India
Abstract: The objective of this work is to enhance the radiator performance through improving the heat transfer
rate using nano fluids in an engine cooling system. A radiator is a device which is used to remove the excess
heat from the engine cylinder such that the engine operates at designed conditions. Recently the researchers
focused on better heat removal techniques like water, water+ ethylene glycol used as the coolants in the radiator.
Ethylene glycol is an antifreeze solution and it has medium heat transfer rate and high boiling point (It has a
moderate heat transfer & conductivity). A nanofluid is a fluid, which are engineered colloidal suspensions of
nanoparticles in base fluids. The nanofluids have excellent thermal properties enhancement than conventional
fluids. These fluids containing nanometer-sized particles. The simulation analysis has been carried out to
estimate the variation in heat transfer coefficient and heat transfer rate of the taken nanofluids also at the end
results were compared.
Keywords: Radiator, Nanofluids, conventional fluids, heat transfer rate and CFD
CRITICAL FACTORS EFFECTING ON BIODIESEL PRODUCTION- A
REVIEW
Swapna G.K
Department of Mechanical
Engineering
Mysuru Royal Institute of Technology
Mandya, India
M.C. Math
Department of Mechanical
Engineering
VTU, PG Center, Mysuru
Syed Abdulla Zain
Department of Mechanical
Engineering
Mysuru Royal Institute of Technology
Mandya, India
Abstract: Ecofriendly biodiesel is gaining attention as an alternative to non-eco-friendly diesel oil. Biodiesel is
obtained from renewable sources such as edible, non-edible vegetable oil, animal fat oil and used cooking oil.
Biodiesel has properties similar to that of conventional diesel oil. Use of biodiesel does not require any major
modifications in the existing diesel engine. In this paper, an attempt has made to review the work that has
already been done on technologies to produce biodiesel from various sources. A small attempt has made to
compare various methods to reduce viscosity of vegetable oil. Use of biodiesel as an alternative to diesel oil has
positive effect on foreign exchange reserves of oil importing countries.
Keywords: Eco-friendly biodiesel, edible, animal fat oil, used cooking oil, viscosity.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
92
CHARACTERIZATION OF ‘ALLISITINI’, EQUI-ATOMIC HIGH
ENTROPY ALLOY PRODUCED BY MECHANICAL ALLOYING
Ganesh U L
Mechanical Engineering Department
PES Institute of Technology and Management
Shivamogga, Karnataka, India
Raghavendra H
Mechanical Engineering Department
J N N College of Engineering
Shivamogga, Karnataka, India
Abstract: High entropy based equiatomic (HEA-AlLiSiTiNi) was developed through mechanical alloying and
characterized by SEM with EDAX and XRD. The 25 Hrs of ball milling of multicomponent, mechanically
alloyed HEA, resulted in Monoclinic phase with better chemical homogeneity, and found to be crystallite size of
30.19 nm with lattice strain induced 0.2897 in as milled condition.
Keywords: High Entropy Alloys (HEA), Mechanical alloying (MA), X-Ray Diffraction (XRD), SEM with
EDAX.
INFLUENCE OF MoS2 and TiO2 FILLERS ON TRIBOLOGICAL
BEHAVIOUR OF NATURAL FIBER REINFORCED EPOXY
COMPOSITES
Vijay B R
Chief operating officer, IPayLabs India Technology Private
Limited
Bangalore, Karnataka, India – 560078
Ph: +91-9538547949, Email: [email protected]
Dr. Srikantappa A S
Principal, Cauvery Institute of Technology,
Mandya, Karnataka, India
Ph: +91-9448085223, Email:
Abstract: Composite materials are widely used because of their unique properties. When two or more materials
are combined on a macroscopic scale, it will form a third material which is very useful called composites. Some
of the unique properties are corrosion resistance, high stiffness, strength and strength to weight ratio. Most of
the metal exhibit the same properties but when weight plays a pivotal role, composites are suitable. In the
current study, coir, epoxy, TiO2, and MoS2 are used as materials. Fabrication of composites were done using
vacuum assisted hand lay-up method. After fabrication, different experiments were performed to study the
tribological behaviour of composites using ASTM G99 Standards. From the experimental study, it is clear that
composites with fillers played a pivotal role when compared with unfilled one. Filler percentage were varied
between 0-6%. Significant improvement was observed after adding the filler. Composites with filler showed
better wear and frictional resistance when compared with unfilled one.
Keywords: Epoxy, Coir Fiber, Wear, ANN, TiO2, MoS2 filler
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
93
IOT BASED AIR POLLUTION MONITORING SYSTEM USING
DRONES
Name: Manjunath M N
Department: Mechanical engineering
College: A.T.M.E College of engineering
City: Mysuru, India
Email id: [email protected]
Name: Ali abbas
Department: Mechanical engineering
College: A.T.M.E College of engineering
City: Mysuru, India
Email id: [email protected]
Name: Gopinath U
Department: Mechanical engineering
College: A.T.M.E College of engineering
City: Mysuru, India
Email id:[email protected]
Name: Atith N
Department: Mechanical engineering
College: A.T.M.E College of engineering
City: Mysuru, India
Email id: [email protected]
Abstract: Drone technology now been an research topic till now. The reason behind this is only Due to
advantages at an effective cost in a seemingly wide range of operations. The measurement as well as monitoring
of pollutants in air, in a certain locality at different altitudes with the help of drones and access the quality of air
in real-time and get data and keeping the corresponding data updated. Drones are generally utilized in public as
well as private sectors. Their applications, comes with a price as well as some disadvantages. Many proposals
have been made to try and improve drones but they have been widely reliant on the actual and current cases.
Drones can greatly limit the gap in the Wireless Sensor Network, due to their ability to fly at various heights.
Drones can be a prolific research topic, there has been no interest in investigation of the advantages of
deployment of this technology. It has been studied and observed that air pollutants in air change abruptly even at
a comparatively short distance. The aim to provide a new tool to study and monitor air quality at different
altitudes that even affluent people cannot afford. Looking at the current scenario, the project will be of low-cost
drones and sensors. Generating reports daily as well as on a periodic basis and generate real-time notifications
during high level of air pollution. To Understand the tough challenges related to drones and air pollution
monitoring.
Keywords: Drones, Wireless Sensor Network, air pollution monitoring.
KEVLAR BASED FIBRE REINFORCED POLYMER COMPOSITE- A
REVIEW
Deepak M.V.S
Asst Prof, Dept of Mech Engg,
A.T.M.E.College of Engineering,
Mysuru, Karnataka, India,
Dr. K. M. Subbaya
Prof, Dept of I & P Engg, The NIE,
Mysuru, Karnataka, India.
Anuhya Chikkala, Gondi Mohan
Venkateswara Sai, Janapa Reddy
Rajesh Kumar, Gottumukkala Roopa
Shri,
Dept of Mech Engg, Gayathri Vidya
Parishad.College of Engineering,
Vishakhapatnam, Andhra Pradesh,
India
Abstract: The review article showcased here is to understand the mechanical and tribological characteristics
such as tensile, flexural, impact, wear, chemical and thermal properties of various available fibres such as Glass,
carbon, Graphite and Kevlar fiber reinforced polymer matrix composites. The characteristics of the various
fibre-reinforced polymer composites with reference to their proportion and the areas of usage are discussed. The
review looks into the studies on various types of Kevlar composites. It provides an orientation to optimise the
present day Kevlar materials and a platform to explore and investigate new combinations
Keywords: Glass fiber, Kevlar fiber, Carbon fiber, Epoxy resin, characteristics, advanced composites
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
94
EFFECT OF WOOD FILLER ON MECHANICAL PROPERTIES OF
SHORT CARBON FIBER REINFORCED POLYPROPYLENE HYBRID
COMPOSITES
Divya H V 1Department of Industrial Production and Engineering,
Malnad College of
Engineering, Hassan, India
Rudresh B M 2Department of Mechanical Engineering, Government
Engineering College,
K R Pet- 571426, India
Email: [email protected], M: 9731147430
Jeevan T P 4Department of Mechanical Engineering, Malnad College of
Engineering, Hassan, Karnataka, India
Yogesha B 4Department of Mechanical Engineering, Malnad College of
Engineering, Hassan, Karnataka, India
Abstract: The wood filler effect on mechanical behaviour of short carbon fiber (SCF) reinforced polypropylene
hybrid composites are investigated in this article. The material systems selected in the study includes:
Polypropylene (PP), PP/Short Carbon Fiber (PP/SCF) and PP/SCF/Wood Filler (PP/SCF/WF) and Maleic
Anhydride (MA) is used as compatibilizer to enhance the interfacial bonding between the reinforcement phase
and the matrix phase. These composites are produced through extrusion process with the help of twin screw
extruder and samples were prepared according to ASTM standards by injection molding. The experimentation
results revealed that the effect of short carbon fiber has enhanced the aforesaid mechanical behavior of SCF
reinforced polypropylene composites. But the effect of wood filler addition has negative effect on flexural and
tensile behavior, but enhanced the impact strength and hardness of SCF reinforced wood filler/PP composites.
The positive effect on hardness and impact strength is because of synergistic effect of wood filler with the short
carbon fiber whereas the negative effect on tensile and flexural behavior is due to poor interfacial bond between
wood filler and short carbon fiber.
Keywords: Mechanical Properties; Wood Filler; Carbon Fiber.
STUDY OF UTILIZATION OF BIOFUELS AND ENVIRONMENTAL
IMPACTS
Mohanakumara K C
Assistant Professor, Department of Mechanical Engineering,
ATME College of Engineering, Mysore.
Niranjan Kumar V S
Assistant Professor, Department of Mechanical Engineering,
ATME College of Engineering, Mysore.
Harsha D N
Assistant Professor, Department of Mechanical Engineering,
ATME College of Engineering, Mysore.
Yashwanth N
Assistant Professor, Department of Mechanical Engineering,
ATME College of Engineering, Mysore.
Abstract: Biodiesel is considered as a renewable substitute for diesel oil in the compression ignition engine. But
the biodiesel is more prone to oxidation due to its chemical nature. The products of the oxidation cause the
biodiesel to become acidic and to form insoluble gums and sediments that can plug fuel filters. In India,
biodiesel is derived from non-edible oils sources, in particular pongemia and jatropha oils [1]. Oil-accumulating
microalgae have the potential to enable large-scale biodiesel production without competing for arable land or
biodiverse natural landscapes. High lipid productivity of dominant, fast- growing algae is a major prerequisite
for commercial production of microalgae oil-derived biodiesel. However, under optimal growth conditions,
large amounts of algal biomass are produced, but with relatively low lipid contents, while species with high lipid
contents are typically slow growing. Major advances in this area can be made through the induction of lipid
biosynthesis, e.g., by environmental stresses. Lipids, in the form of triacylglycerides typically provide a storage
function in the cell that enables microalgae to endure adverse environmental conditions. Under this review paper
work detailed studies will be conducted for analyzing the properties and use of lipid biofuels.Here also discuss
the environmental impacts of lipid biofuels.
Keywords: Bio FUEL, Bio gas, Bio Diesel.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
95
DESIGN AND FABRICATION OF DIGITAL MILEAGE MEASURING
DEVICE FOR VEHICLE
Yathisha.N
Assistant professor, Department of Mechanical engineering
ATMECE
Mysuru
Arjun M S
Assistant professor, Department of Mechanical engineering
ATMECE
Mysuru
Dr Srinivasa K
Professor, Department of Mechanical engineering
ATMECE
Mysuru
Chethan S
Assistant professor, Department of Mechanical engineering
ATMECE
Mysuru
Abstract: There has been major development in the field of two wheelers with respect to every aspect of the
vehicle. One of the major aspects of the vehicle that is responsible for making vehicle most famous and popular
is the mileage of the vehicle. Device to measure mileage has to design in order to verify the company mileage
commitment made by the automo-bile company. In our project we have designed and fabricated a model of
digital mileage testing machine using tachometer. This device is used to measure mileage as on go for every
load of fuel consumed. The model has been calibrated and tested for various condition.
Keywords: Mileage, Vehicle, Measuring. Fuel Consumption
AUTOMATED SCUM REMOVAL MACHINE IN JAGGERY
PRODUCTION
Mayur Krishna
Final year student of Department of Mechanical Engineering
ATME College of Engineering
Mysuru, Karnataka, India.
Mithin T R
Final year student of Department of Mechanical Engineering
ATME College of Engineering
Mysuru, Karnataka, India.
Manu G T
Final year student of Department of Mechanical Engineering
ATME College of Engineering
Mysuru, Karnataka, India.
Nischay M M
Final year student of Department of Mechanical Engineering
ATME College of Engineering
Mysuru, Karnataka, India.
Abstract: Automated Scum Removal Machine is used to remove Scum produced during the production of
Jaggery. The Scum Removal is done by manual method in our country. The aim of this project is to develop
Automated Scum Removal Machine. The Scum removal machine can be adopted in medium and large- sized
jaggery production industry. This machine makes the process simple, easy and fast. It eases human effort and no
requirement of skilled workers to operate the machine. The Automated Scum removal machine consists of the
following parts Base, stand, motor and Collector. The stand is mounted on the base and bevel gear. The rotation
of the arm is controlled by the Bluetooth device and rotates up to 1800. Rising and lowering movement of the
arm is controlled by Bluetooth device. Low speed motor is mounted on another end of the arm, which is used to
rotate the scum collector and is controlled by wireless control equipment. Scum which is collected in the
collector is lifted by raising the arm. Hence, the pure form of juice can be obtained from the above process.
There is no availability of Automated Scum removal machine.
Keywords: Automated Scum Removal, Bevel gear, arm, Motor, collector, wireless control equipment.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
96
MECHANICAL CHARACTERISTICS OF COATED ALUMINIUM
MATRIX COMPOSITES - A REVIEW
Karthik B M
Assistant Professor
Department of Mechanical and
Manufacturing Engineering
Manipal Institute of Technology,
Manipal Academy of Higher Education
Manipal – 576104, Karnataka, India
Jayashree P K
Assistant Professor-Selection Grade
Department of Mechanical and
Manufacturing Engineering
Manipal Institute of Technology,
Manipal Academy of Higher Education
Manipal – 576104, Karnataka, India
Gowri Shankar M C
Associate Professor Department of
Mechanical and Manufacturing
Engineering
Manipal Institute of Technology,
Manipal Academy of Higher Education
Manipal - 576104, Karnataka, India
Sathyashankara Sharma
Professor Department of Mechanical and Manufacturing
Engineering
Manipal Institute of Technology, Manipal Academy of
Higher Education
Manipal - 576104, Karnataka, India
E-mail: [email protected]
Abhishek Nayak
PG Student M.Tech
Department of Mechanical and Manufacturing Engineering
Manipal Institute of Technology, Manipal Academy of
Higher Education
Manipal - 576104, Karnataka, India
Abstract: Metal matrix composites are the most vital product used as engineering materials. This product has
extensive applications in automotive, aerospace, and supplementary uses. Among the different metal matrix
composites, aluminium matrix composites (AMMCs) are considered as one of the most useful materials for
various applications in engineering. Different categories of reinforcement have been added into the matrix of
aluminium in order to increase hardness, wear resistance, stiffness, toughness, thermal stability, fatigue
properties and electrical properties. The nature of reinforcement materials, processing parameters and interface
bonding has great influence on the characteristics of AMMCs. A number of approaches have been adopted to
expand the interfacial properties of metal matrix composites. Out of which surface treatments and coating of the
reinforcement are the main techniques by which the interfacial properties can be enriched. In the current study
of aluminium MMCs, various mechanical and morphological characteristics of coated aluminium alloy matrix
composites have been analysed and studied.
Keywords: Metal matrix composites, Stir casting, Nickel coating, Al7075, Al2024.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
97
EFFECT OF STRAIN RATE ON THE MECHANICAL PROPERTIES
OF EPOXY-GLASS FABRIC REINFORCED NANO COMPOSITES
Aswathnarayan M S
Research scholar VTU, Belagavi, Karnataka, India
Rudresh B M*
Department of Mechanical Engineering, Government
Engineering College, K R Pet -571426
Karnataka State, India
Muniraju M
Department of Mechanical Engineering, Government
Engineering College, Chamarajanagar
Karnataka State, India
Reddappa H N
Department of Mechanical Engineering, Bangalore Institute
of technology, Bangalore -560004
Karnataka State, India
Abstract: The effect of rate of strain on the tensile and bending strength of nano graphene filled
epoxy glass fiber nano composites was studied. The nano composites are developed and processed using
vacuum molding technique. Higher loading of functional graphene in nano size up to 2 wt. % is used for the
processing. The nano graphene has been varied from 1 to 2 wt. %. The mechanical properties has been
studied and evaluated through tensile and flexural properties as per ASTM D 638 and ASTM D790 standards
respectively. The Mechanical behavior of the composite materials was studied under the influence of different
rates of strain (Tensile: 5, 25 and 50 mm/min and Flexure: 1.33, 2 and 4 mm/min). Further, the effect of
higher loading of nanographene was also studied from the experimentation it is found that the mechanical
behavior of composites studied is a function of rate of strain. The increase in strain rate has increased the
strength of composite under tensile and bending loads which may be due to increase in strain energy of
materials due to effect of higher strain rate. Furthermore, higher loading of nanographene has negative
response on the strength of composite studied. This may be due to the agglomeration and improper distribution
of these particles in the network of glass fabrics and epoxy
Keywords: Strain rate, Nanographene, mechanical, glass-epoxy, tensile, flexure
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
98
EFFECT OF GLASS POWDER AND MWCNTS ON MECHANICAL
AND WEAR PROPERTIES OF EPOXY BASED HYBRID
COMPOSITES WITH ADDED FILLERS FOR ELEVATED
TEMPERATURE APPLICATIONS
Md Nadeem M
Assistant Professor, Department of
Mechanical Engineering
ATME College of Engineering
Mysore, India
Hemanth B R
Assistant Professor, Department of
Mechanical Engineering
BTI, Bangalore-35
Yathisha N
Assistant Professor, Department of
Mechanical Engineering
ATME College of Engineering
Mysore, India
Abstract: This research article presents the mechanical and wear properties of hybrid nano composites for
elevated temperature applications. These materials offer higher / lower values of these properties than
constituent materials because of the synergetic effect between them. In the proposed investigation it is intended
to use Epoxy Resin - LY556 as matrix, along with its hardener HY – 951. This is because epoxy resin is
traditionally known to have higher thermal stability when cured with an anhydrous agent. The reinforcing
materials to bring in the above said properties are Al2O3, SiC, MWCNT’s and (E-Glass Powder) EGP. Further
its thermal stability could be increased by reinforcing them with (Nano Silica Powder) NSP which is thermally
stable at elevated temperatures. Wear resistance of these materials which is an important characteristic could be
improved by addition of other fillers like Metal Oxides and Silicates, Sintered Materials etc. Self-lubricating
properties could be brought in by the use of Sulphides (BaSO4). Thermal conductivity of the proposed
composites could be improved upon by adding the constituents such as copper, aluminum etc. It is expected
that, such hybrid polymers should possess high thermal stability, good wear resistance and mechanical modulus
i.e., they should withstand degradation of properties over long period at elevated temperatures. The application
areas for these proposed materials could be in Automobile parts, Aerospace industries, Missile cones and other
parts where one can expect elevated temperatures in the range of 150°C-180°C.
Keywords: Epoxy resin, Glass Fiber (GF), Multi Walled Carbon Nano Tubes (MWCNTs), E-Glass Powder
(EGP), Nano Silica Powder (NSP), Aluminum Oxide (Al2O3), Silicon Carbide (SiC), Barium Sulphate (BaSO4),
Elevated Temperature Resistance.
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
99
INFLUENCE OF REINFORCEMENT MATERIALS ON
MECHANICAL, METALLURGICAL AND TRIBOLOGICAL
BEHAVIOR OF ALUMINUM COMPOSITES-REVIEW
Devaraj M R
Department of Mechanical Engineering
ATME college of Engineering Mysore
Niranjan Kumar V S
Department of Mechanical Engineering
ATME college of Engineering Mysore
Abstract: Aluminum alloys and aluminium based composites are used presently in engineering
applications.Aluminium matrix composites are imparting such superior properties which are very difficult to
achieve by any existing monolithic material. These composites (MMCs) pursued over other conventional
materials in the field of aerospace, automotive and marine applications due to their outstanding improved
properties. These materials are of much interest to the researchers from few decades. These composites
primarily replaced ferrous based such as cast iron and alloyed high temperature nonferrous based materials such
as brass or bronze alloys but because of their poor wear and seizure resistance, they were subjected to many
experiments and the wear behavior of these composites were explored to a maximum extent and were reported
by number of research scholars for the past couple of years.Properties ofaluminum matrix composites are highly
influenced by the type and geometry of reinforcement such as particle size, continues or discontinues fiber form.
It also depends on the processing techniques adopted for the fabrication of aluminum matrix composites which
also depends on many factors including type of matrix and reinforcement theextent of microstructural integrity
desired and their structural, mechanical and thermal properties. Present paper reports an overview on synthesis
routes or processing methods as solid or liquid state techniques used to produce specimenswith different
reinforcements including carbon nanotubes.Mechanical and tribological behavior and its challenges of
aluminum matrix compositesare discussed.
Keywords: Carbon Nanotube, Metal Matrix Composites, Mechanical Properties, Stiffness, Strength, Wear
behavior
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
100
LOW COST IOT BASED EV CHARGING STATION WITH POWER
BANK VENDING MECHANISM
Mohammed Shuaib Khan
Mechanical Engineering
ATME College of Engineering
Mysore, India
Mohammed Yousuf Khan
Mechanical Engineering
ATME College of Engineering
Mysore, India
Mohammed Faraaz Ur Rahman
Mechanical Engineering
ATME College of Engineering
Mysore, India
Shahbaz Pasha
Mechanical Engineering
ATME College of Engineering
Mysore, India
Abstract: As the CO2 level in the earth’s atmosphere is increasing, it is causing major problems such as increase
in surface temperature of earth which is resulting in global warming and climate change. To reduce CO2
emissions and to avoid petroleum products in transportation sector whose demand and price are increasing day
by day, all the countries around the world are shifting towards Electric Vehicles and Hybrid Vehicles, The
transition from IC Engine Vehicles to Electric Vehicles is not that easy there are some barriers which every
country has to overcome. One of the major barrier is availability of charging infrastructure for EV’s and the cost
for charging stations is huge, to reduce the cost and to promote Electric Vehicles in India, this project titled
“Low Cost IoT Based EV Charging Station with Power Bank Vending Mechanism” is proposed to provide
charging facility to EV users at an economical cost. It also has power bank vending mechanism which provides
power bank rentals for mobile phone users at public places, which can boost the business of station owner by
providing more profits. It designed in such a way that it uses solar power to power up the microcontroller,
sensors, servos, and other electronic components. It can be operated through smartphone app and payments can
be done through the app itself or person can pay manually by inserting the coin into the coin acceptor. This
project can help to provide charging facility at an economical cost by using real-time Database and IoT
Technology.
Keywords: EV Charging, Mobile communication system, Climate change, IoT, Smart Vending Mechanisms,
Authentication, Web-based services, Payment schemes.
FRICTIONAL EFFECTS AND SLIDING PRESSURE ON THE WEAR
BEHAVIOUR OF GLASS-BASALT COMPOSITES
Lingesh B V
Mechanical Engineering
Bangalore Institute of Technology
Bengaluru – 04, Karnataka, India
Ravikumar B N
Mechanical Engineering
Bangalore Institute of Technology
Bengaluru – 04, Karnataka, India
Rudresh B M
Mechanical Engineering
Govt. Engineering College
K R Pet, Mandya – 571426, Karnataka,
India
Abstract: Thermoplastic polymer composites are very promising materials for structural and friction related
applications. Thermoplastic blend hybrid composites are used for the study. The blend polyamide 66 /
polypropylene (PA66/PP) is reinforced with short glass (SGF) and basalt fibers (SBF). The composites are
developed by melt mixing process using twin-screw extruder. The composites used for the study are blend
(PA66/PP), Blend/SGF, Blend/SBF and Blend/SGF/SBF. The frictional effects and sliding pressure on the wear
performance of thermoplastic blend composites reinforced with glass and basalt fibers are studied using pin-on-
disk system as per ASTM G99. It has been noticed from the investigation that the wear loss of composites is
totally influenced by the sliding pressure. The composites exhibit better wear resistance characteristics by the
addition of fibers. Hybrid fibers reinforced composite demonstrated much greater wear resistance than
individual fiber reinforced and thermoplastic blend composites. The reduction in the frictional constant has been
noticed by the addition of fiber reinforcement into the blend.
Keywords: Frictional constant; Sliding pressure; PA66/PP; SGF; SBF;
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
101
EXPLORING THE SLIDING WEAR BEHAVIOR OF PA66/PA6 BLEND
NANO COMPOSITES: INFLUENCE OF LOAD AND VELOCITY
Umesh G L
Department of Mechanical
Engineering, Bangalore Institute of
Technology, Bangalore -560004
Rudresh B M
Department of Mechanical
Engineering, Government Engineering
College, K R Pet -571426
Karnataka State, India
Krishnaprasad N J
Department of Industrial Engineering
and Management, Bangalore Institute
of Technology, Bangalore -560004
Bangalore – 6560004, India
Abstract: The effect of nano graphene on the dry slide wear behaviour of Polytetrafluroethyele (PTFE) and
Molybdenum disulphide (MoS2) filled PA66/PA6 blend composites is investigated. Blend (PA66/PA6) (80/20
wt.%), Blend (PA66/PA6)/10 wt. % PTFE/5 wt. % MoS2 and Blend (PA66/PA6)/ 10 wt. % PTFE/5 wt. %
MoS2/2.5 wt. % TiO2 /2.5 wt. % Nano Graphene are the materials subjected to investigation. These composites
were developed using extrusion melt mix method and followed by injection molding. ASTM G99 method
procedural steps have been adopted for the wear test. The sliding wear behavior was studied by varying sliding
load (25, 50, 75 and 100 N) and sliding velocity (0.5, 1, 1.5 and 2 m/s). It is observed that the synergistic effect
of PTFE and MoS2 was not promising for the wear resistance of PTFE and MoS2 filled PA66/PA6 blend
composites. But the blend showed the better wear resistance than micro composites. Inclusion of TiO2 and nano
Graphene significantly enhanced the wear resistance of Nano composites. This is because of synergism of
PTFE, MoS2 and Nano Graphene. PTFE and MoS2 would form the uniform polymer film on the steel disc.
Further, Nano Graphene has strengthened the polymer film further improving the sliding wear resistance. The
thermal effects on the frictional surface was controlled by the micro filler TiO2. The impact of velocity is severe
compared to sliding load. The SEM images were used for examining the worn surfaces and the reasons for the
tribological failure were evaluated.
Keywords- Blend (PA66/PA6); PTFE; dry slide wear; Sliding velocity; MoS2
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INTERNATIONAL CONFERENCE ON RECENT TRENDS IN SCIENCE & TECHNOLOGY (ICRTST - 2020)
102
IMPACT BEHAVIOR OF HYBRID NANO FILLED KEVLAR
REINFORCED COMPOSITES
Abstract: Polymer Matrix Composites (PMC) is gaining significant importance due to their unique feature of
high to weight ratio, lower wear loss, better tensile strength etc. Behaviour of different fibre reinforced polymer
composites are studied with respect to their composition and the applications are discussed. The Kevlar
reinforced composite usually withstand impact and the fibers resists propagation of crack. Kevlar’s exhibit good
mechanical properties like tensile strength, stiffness, low weight and density. Impact and shock applied
components are being produced using these materials. The experimental assessment studies the impact
properties of Kevlar composites focussing on varying combinations. The addition of ceramic filler material such
as nano Silicon Carbide and alumina would further improve its overall mechanical and wear characteristics. The
purpose of the experiment is to understand the influence of nano Silicon Carbide and Alumina on woven Kevlar
fabric. It provides an orientation to optimise the present day Kevlar materials and a platform to explore and
investigate new combinations.
Keywords: Kevlar fiber, Epoxy resin, Nano fillers, Impact Strength, Fracture study
MECHANICAL CHARACTERIZATION OF ALUMINUM-TIB2 METAL
MATRIX COMPOSITES BY IN-SITU METHOD.
,Dr.Manjunatha H.S1 Dr.G.Mallesh2, Pradeepkumar V.G3
*1Assistant Professor, Department of Mechanical Engineering, ATME College of Engineering, Mysore.
*2 Professor, Department of Mechanical Engineering, SJCE, Mysore.
*3Assistant Professor, Department of Mechanical Engineering, SJCE,
Email: [email protected]
Abstract: In the current day engineering design and development activates many Scientists, Researchers and
Engineers are striving hard to develop new and better engineering materials, which accomplish high strength,
low weight and energy efficient materials since the problems of environment and energy are major threshold
areas. The development of new materials is growing day by day to replace the conventional materials in
aerospace, marine engineering, automobile engineering industries etc., hence, composite materials are found to
be an alternative.
In this paper attempts are made to develop Al 6061-Mg-TiB2 composite materials for light weight applications
using In-situ salt reaction stir casting process by varying the weight percentage of TiB2 (0,3,6,9 and 12 wt
%).Microstructure and Mechanical characterization was carried out as per ASTM Standard which includes
SEM, XRD analysis, micro hardness, tensile strength and ductility tests. It was noticed that the composites
developed exhibit greater properties when compared with matrix alloy.
Keywords: Al6061, TiB2, Halide salts, Microstructure and Mechanical properties.
Deepak M.V.S
Asst Prof, Dept of Mech Engg,
A.T.M.E.C.E, Mysore, Karnataka,
India
Dr. K. M. Subbaya
Prof, Dept of I & P Engg, The NIE,
Mysore, Karnataka, India.
Thilak S R
Assoc Professor, Dept of Mech Engg,
Brindavan College of Engineering,
Bangalore, Karnataka, India
Anuhya Chikkala
Dept of Mech Engg, Gayathri Vidya Parishad.College of
Engineering, Vishakhapatnam, Andhra Pradesh, India
Prabhu Veera Gowda K.N, Santosh. S, Stanley Almos S,
Sujith. S
Dept of Mech Engg, A.T.M.E.C.E, Mysore, Karnataka,
India,
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