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Series: ELECTRONICS, COMPUTERS and ARTIFICIAL
INTELLIGENCE – ECAI-2019
UNIVERSITY OF PITESTI
Technical sponsorship IEEE Romania section
IEEE Industry Applications Society
Book of Abstracts of the 11th International Conference on
ELECTRONICS, COMPUTERS and
ARTIFICIAL INTELLIGENCE – ECAI-2019
Series: ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE
Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115
Media IEEE Catalog Number ISBN
Compliant PDF Files CFP127U-ART 978-1-7281-1624-2
USB CFP1927U-USB 978-1-7281-1623-5
Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115
Media IEEE Catalog Number ISBN
Compliant PDF Files CFP127U-ART 978-1-7281-1624-2
USB CFP1927U-USB 978-1-7281-1623-5
Series: ELECTRONICS, COMPUTERS and ARTIFICIAL
INTELLIGENCE – ECAI-2019
EDITORS - IN - CHIEF
TAKESHI YAMAKAWA
ASSOCIATE EDITORS:
Keynote, Electronic Circuits & Equipment Mihai Oproescu
Software & Computer Applications Mihai Oproescu, Ioan Lita
Electrical Engineering, Microwaves & EMC, Bio-medical applications Gabriel Iana Control, robotics and mechatronics Mihai Oproescu
Workshop IWSSS 2019 Emil Pricop
Workshop OCSC 2019, Workshop IWTOTC 2019, Workshop IWAE 2019 Mihai Oproescu, Mihaela Rodica
Teodorescu
E-SESSION & POSTER Corina Savulescu
PROCEEDINGS’ EDITORS: NICU BIZON
Volume text proccesing: MIHAI OPROESCU
EDITORIAL ADVISORY BOARD Adina Magda Florea (Ro) Dorel Aiordachioaie (Ro) Ioan Florea Hantila (Ro) Musa Yilmaz (Tr)
Adriana Florescu (Ro) Driss Mehdi (Fr) Ioan Lita (Ro) Naser M. Tabatabaei (Ir)
Alexandru M. Morega (Ro) Dumitru Popescu (Ro) Ioan Nicolaescu (Ro) Nesimi Aktas (Tr)
Alexandru Serbanescu (Ro) El Emary M. Ibrahiem (Jo) Ion Bogdan (Ro) Nicolae D Alexandru (Ro)
Amit Chaudhry (In) Emil Pricop (Ro) Ion Sima (Ro) Nicolae Paraschiv (Ro)
Angela Russo (It) Emil Simion (Ro) Ion Tutanescu (Ro) Nicolae Tapus (Ro)
Anthony C. Davies (UK) Ersan Kabakci (Tr) Ires Iskender (Tr) Nicolae Voicu (Ro)
Arif M. Hashimov (Az) Eugene Roventa (Canada) Iulian Rincu (Ro) Nicu Bizon (Ro)
Avireni Srinivasulu (In) Fary Z. Ghassemlooy (UK) Jaafar M.H.Elmirghani (UK) Ozan Erdinc (Tr)
Calin Vladeanu (Ro) Zdenek Vostracky (Cz) Javier J. B. Landatxe (Es) Patrick Coirault (Fr)
Catalin Buiu (Ro) Filippo Spertino (It) Jean-Paul Gaubert (Fr) Peter Hill (UK)
Cengiz Taplamacioglu (Tr) Florin Constantinescu (Ro) Jiri Pinker (Cz) Petrica Ciotirnae (Ro)
Cezar Plesa (Ro) Florin Ghe. Filip (Ro) Liviu Goras (Ro) Radu Dobrescu (Ro)
Charles Shoniregun (UK) Franco Maloberti (It) Luca Dan Serbanati (Ro) Romeo Calarasu (Ro)
Chingiz Hajiyev (Tr) Fuad F. Mammadov (Az) Lucian Anton (Ro) Salem M.Abdel-Badeeh (Eg)
Constantin Paleologu (Ro) Gabriel Radulescu (Ro) Lucien Dascalescu (Fr) Sergiu Nedevschi (Ro)
Constantin Vertan (Ro) George Lojewski (Ro) Maaruf Ali (KSA) Silviu Ionita (Ro)
ConstantinNegoita (USA) Gheorghe Brezeanu (Ro) Madalina Georgescu (Ro) Sorin Puscoci (Ro)
Cornel Ioana (Fr) Gheorghe Gavriloaia (Ro) Marian Gaiceanu (Ro) Stefan V. Nicolaescu (Ro)
Cornel Panait (Ro) Gheorghe Serban (Ro) Mihail Aurel Titu (Ro) Svasta Paul (Ro)
Corneliu Burileanu (Ro) Gianfranco Chicco (It) Miguel Salmeron (USA Takeshi Yamakawa (Jp)
Cosmin Popa (Ro) Hakan Kuntman (Tr) Mihaela Ungureanu (Ro) Teodor Petrescu (Ro)
Cristian Negrescu (Ro) Harold Szu (USA) Mihai Maricaru (Ro) Terence Goh (Sg)
Cristian Patrascioiu (Ro) Hasan Kaplan (Al) Mihai Tarâta (Ro) Toshitaka Yamakawa (Jp)
Daniel Caragata (Cl) Henri-George Coanda (Ro) Mihai Togan (Ro) Vasile Lazarescu (Ro)
Daniel Pasquet (Fr) Horia Andrei (Ro) Milan Stork (Cz) Victor Valeriu Patriciu (Ro)
Daniela Tarniceriu (Ro) Horia N. Teodorescu (Ro) Mircea Ivanescu (Ro) Vlad Budu (Ro)
Dmitry Pavlyuchenko (Ru) Hossein Shayeghi (Ir) Mircea Stefanescu (Ro) Vyacheslav Tuzlukov (So.K)
Doina Banciu (Ro) Ioan Dumitrache (Ro) Mohammad Alim (USA) Wim Melis (UK)
Zdzislaw Polkowski (Po) Nitul Dutta (In)
ECAI conference organizers
UNIVERSITY OF PITESTI
Faculty of Electronics, Communications and
Computers
'GHEORGHE ASACHI' TECHNICAL
UNIVERSITY, IASI
Faculty of Electronics, Telecommunications and
Information Technology
POLITEHNICA UNIVERSITY OF
BUCHAREST
Faculty of Electronics, Telecommunications and
Information Technology
Faculty of Automatic Control and Computers
NEVŞEHİR HACI BEKTAŞ VELİ
UNİVERSİTY
Faculty of Engineering and Architecture, Nevşehir
Vocational School
PETROLEUM - GAS UNIVERSITY OF
PLOIESTI
Faculty of Mechanical and Electrical Engineering ,
Department of Automation, Computers and
Electronics
'VALAHIA' UNIVERSITY, TARGOVISTE
Faculty of Electrical Engineering, Electronics
and Information Technology
MILITARY TECHNICAL ACADEMY,
BUCHAREST
Faculty of Electronics and Informatics Military
Systems
UNIVERSITY OF ORADEA
FACULTY OF ELECTRICAL ENGINEERING
AND INFORMATION TECHNOLOGY
NATIONAL COMMUNICATIONS
STUDIES AND RESEARCH INSTITUTE
INSCC- Bucharest
FUZZY LOGIC SYSTEMS INSTITUTE
FUKUOKA, JAPAN NUCLEAR RESEARCH INSTITUTE, Mioveni
JAN WYZYKOWSKİ UNİVERSİTY,
Polkowice, Poland
Edited by University of PITESTI
ADDRESS: Street Târgu din Vale, No. 1, 110040, Piteşti, Argeş Romania
978-1-7281-1624-2/19/$31.00 ©2019 IEEE
Plenary Session P
Bio-medical applications S1
Artificial Intelligence S2
Electronic circuits and equipments S3
Continued at back cover
Contents
ECAI - 2019 reviewers list
Abdel-Badeeh Salem, Adrian Iordachescu, Adriana Florescu, Ali Hessami, Alin
Mazare, Alper Görgün, Andrei Gheorghiu, Badre Bossoufi, Bogdan Constantin
Neagu, Bogdan-Adrian Enache, Calin Vladeanu, Cingiz Haciyev, Constantin
Paleologu, Constantin Vertan, Cornel Ioana, Cornel Talpalariu, Cornelia-Mihaela
Novac, Cosmin Popa, Cosmin Stirbu, Cristian Hoarca, Dan Popescu, Daniel Pasquet,
Daniel Visan, Daniela Tarniceriu, Darine Ameyed, Doina Banciu, Dorel
Aiordachioaie, Dumitru Cazacu, Emil Pricop, Emil Simion, Erol Kurt, Ersan Kabalci,
Eugen Diaconescu, Felix Albu, Fernando Georgel Birleanu, Florentina Magda Enescu,
Florin Birleanu, Florin-Gheorghe Filip, Gabriel Radulescu, George Lojewski, George-
Robert Sisman, Gheorghe Gavriloaia, Gheorghe Grigoras, Gheorghe Serban,
Gianfranco Chicco, Grigore Stamatescu, Henri Coanda, Horia Andrei, Horia-Nicolai
Teodorescu, Hossein Shayeghi, Ioan Lita, Ioan Nicolaescu, Ioan-Mircea Gordan, Ion
Bica, Ion Bogdan Cioc, Ionel Bostan, Ionita Silviu, Ires Iskender, Iulian Ciocoiu,
Jaouhar Fattahi, Javier Bilbao, Jiri Pinker, Laurentiu Ionescu, Lidia Dobrescu,
Loretta Ichim, Lucian Dascalescu, Luminita Mirela Constantinescu, M.Cengiz
Taplamacioglu, Maaruf Ali, Mariam Ibrahim, Marian Gaiceanu, Marian Raducu,
Mariana Iorgulescu, Marin Radut, Marius Minea, Mihaela Oprea, Mihaela
Teodorescu, Mihaela Ungureanu, Mihai C. Arva, Mihai Maricaru, Mihai Oproescu,
Mihail Aurel Titu, Milan Stork, Mircea Raceanu, Mircea-Danuț Pantea, Mircea-
Novac Stefanescu, Mirel Stanica, Mironela Pirnau, Mohamed Mejri, Mustafa DoĞan,
Mustapha Jamma, Naser Tabatabaei, Necmi Altin, Nicolae Militaru, Nicolae
Paraschiv, Nicoleta Angelescu, Nicu Bizon, Nitul Dutta, Norocel Codreanu, Octavian
Ionescu, Ovidiu Grigore, Ovidiu-Constantin Novac, Paul Burciu, Pavol Sokol, Petre
Anghelescu, Pooya Davari, Radu-Emil Precup, Răzvan Albu, Robert Beloiu, Sanda
Florentina Mihalache, Savulescu Corina, Sever Pasca, Sorin Puscoci, Sorin Soviany,
Stefan Simion, Takeshi Yamakawa, Teodor Petrescu, Valentin Alexandru Stan,
Valeriu Manuel Ionescu, Vasile Cirtoaje, Vasile-Gabriel Iana, Victor-Emil Neagoe,
Victor-Valeriu Patriciu, Yasin Kabalci, Zdzislaw Polkowski
Vol. 11 – No. 1/ 2019 ISSN – 1843 – 2115
Media IEEE Catalog Number ISBN
Compliant PDF Files CFP127U-ART 978-1-7281-1624-2
USB CFP1927U-USB 978-1-7281-1623-5
Keynote Lectures
EVOLVING FUZZY AND NEURAL NETWORK MODELS OF FINGER DYNAMICS FOR
PROSTHETIC HAND MYOELECTRIC-BASED CONTROL 1 Radu-Emil Precup, Co-authors: Teodor-Adrian Teban and Adriana Albu
COMPARISON OF ELECTROMAGNETIC ENERGY HARVESTERS 3
Erol Kurt
LYAPUNOV-FUNCTION-BASED CONTROL OPTIONS FOR GRID-CONNECTED
INVERTERS 4 Ibrahim Sefa
HYBRID SYSTEMS FOR ELECTRICAL GENERATION WITH ENERGY STORAGE 5
Slim Tnani
UNEXPECTED APPLICATION-SPECIFIC DIGITAL IMAGE ACQUISITION ERRORS 6
Constantin Vertan
Bio-medical applications & biomaterials
MEASURING GLUCOSE BLOOD WITH SPECTROSCOPY SKIN IN NEAR INFRARED 7
Ionescu Marius and Pașca Sever
ANALYSIS OF PRIMARY-SIDE SERIES COMPENSATION OF INDUCTIVE CHARGERS
FOR BIOMEDICAL IMPLANTABLE DEVICES 8 Eleni Gati, Sotirios Kokosis, Nikolaos Patsourakis and Stefanos Manias
EVOLVING FUZZY AND NEURAL NETWORK MODELS OF FINGER DYNAMICS FOR
PROSTHETIC HAND MYOELECTRIC-BASED CONTROL 9 Radu-Emil Precup, Teodor-Adrian Teban and Adriana Albu
ANALYSIS OF LOCAL BINARY PATTERN FOR EMPHYSEMA CLASSIFICATION IN
LUNG CT IMAGE 10 Eva Tuba, Ivana Strumberger, Nebojsa Bacanin and Milan Tuba
ESTABLISH: A SMART HEALTH PLATFORM FOR ENHANCING THE QUALITY OF LIFE
11 George Suciu, Adrian Pasat, Mihaela Balanescu, Ioana Suciu, Alexandru Banaru and Iacob
Crucianu
A BIOMETRIC SECURITY MODEL WITH CO-OCCURRENCE MATRICES FOR
PALMPRINT FEATURES 12 Sorin Soviany and Sorin Puscoci
ONLINE POWERTOSSIM SIMULATOR FOR WIRELESS SENSOR NETWORKS 13
Anas Al-Roubaiey and Hamdi Al-Jamimi
Communications
HYBRID VLC COMMUNICATION SYSTEM FOR SMALL TO MEDIUM SIZE ENTERPRISES 14
Andrei Scheianu and George Suciu
MASSIVE MIMO TECHNOLOGY FOR 5G ADAPTIVE NETWORKS 15
Cristina-Gabriela Gheorghe, Radu Dragomir and Dan Alexandru Stoichescu
THREAT CLASSIFICATION IN CURRENT COMMUNICATION INFRASTRUCTURES 16
Ioan Constantin, Cristian Patachia, Carmen Patrascu, Andrei Avadanei and Lucian Nitescu
FEMTOCELL OUTAGE DETECTION IN MULTI-TIERED NETWORKS USING LSTM 17
Hasan Tahsin Oğuz, Aykut Kalaycıoğlu and Ahmet Akbulut
CENTRALISED MULTI-HOP ROUTING FOR DEVICE-TO-DEVICE COMMUNICATION:
SIMULATION AND RESULTS 18 Mustafa Khaleel Hamadani and Husam Al-Alwash
A METHOD FOR IMPROVING THE ACCURACY OF DIRECTION OF ARRIVAL
MEASUREMENT BASED ON SPARSE VECTOR ESTIMATION 19 Ionela-Cristina Voicu, Silviu Ciochină and Andrei Anghel
AN ANALYSIS OF CRYPTOGRAPHIC ALGORITHM STRENGTH BASED ON S-BOX
PROPERTIES 20 Roxana Dragomir, Sergiu Maluțan and Marilena Lazăr
ENERGY EFFICIENT TRUST-BASED SECURITY MECHANISM FOR WIRELESS SENSORS
AND UNMANNED AERIAL VEHICLES 21 Valentin-Alexandru Vladuta, Ion Bica and Victor-Valeriu Patriciu
PERFORMANCE ANALYSIS OF TRANSMITTER IDENTIFICATION BASED ON I/Q
IMBALANCE ESTIMATION 22 Özlem Alpergün, Selçuk Taşcıoğlu and Memduh Köse
BLIND DETECTION OF IMPULSE RADIO UWB TIME- HOPPING PULSES USING THE
PHASE SPACE TRANSFORMATION 23 Florin Diaconescu
ZIGBEE LOCALIZATION SYSTEM FOR PUBLIC TRANSPORT VEHICLES 24
Valentin Iordache, Razvan Andrei Gheorghiu, Valentin Alexandru Stan and Madalina Tarla
ASSESSMENT OF ZIGBEE COMMUNICATIONS EFFICIENCY FOR TRUCK PLATOONING
APPLICATIONS 25 Razvan Andrei Gheorghiu, Valentin Iordache and Marius Minea
USAGE OF BLUETOOTH SCANNERS TO DETECT URBAN TRAFFIC
26 Razvan Andrei Gheorghiu, Valentin Alexandru Stan, Valentin Iordache, Dorin Buretea and
Ilona Madalina Costea
Control, robotics and mechatronics
DESIGN OF A STRING-ENCODER AND IMU BASED 6D POSE MEASUREMENT SYSTEM 27
Ekrem Yavuz, Yavuz Şenol, Merih Özçelik and Hüseyin Aydın
FPGA IMPLEMENTATION OF MULTICHANNEL FIR FILTERS 28
Ibrahim Sefa and Cihan Aydin
RELIABLE FPGA-BASED CAMERA SENSOR FOR NCS
29 Hadeer Ahmed, Gehad Alkady, Hassan Halawa, Ramez Daoud, Hassanien Amer, Ihab Adly,
Tarek Refaat and Manar Shaker
MODELING AND SIMULATION OF QUADROTOR UAV USING PID CONTROLLER 30
Mehmet Karahan and Cosku Kasnakoglu
MODELLING AND CONTROL OF PAPER DRYING PLANT 31
Cristian Patrascioiu and Sinziana Radulescu
NETWORKED CONTROL SYSTEM ARCHITECTURE FOR AUTONOMOUS UNDERWATER
VEHICLES WITH REDUNDANT SENSORS 32 Kareem Alansary, Ramez Daoud, Hassanein Amer and Hany Elsayed
AN APPROACH FOR ESTIMATING THE TOTAL HEAT TRANSFER RATES IN EMBEDDED
SYSTEMS 33 Tudor - George Alexandru and Cristina Pupaza
A DEEP CNN FOR IMAGE ANALYTICS IN AUTOMATED MANUFACTURING PROCESS
CONTROL 34 Manuella Kadar and Daniela Onita
A CASE STUDY OF MULTI-ROBOT SYSTEMS COORDINATION USING PSO SIMULATED
IN WEBOTS 35 Stan Alexandru-Calin and Oprea Mihaela
Electrical engineering applications
MEASURING AND MAINTAINING THE WATER LEVEL IN A TANK FOR EFFICIENT USE
IN IRRIGATION 36 Ionut Craiu, Florian Ion, Nicolae Fidel, Ramona Chirescu and Mihail-Florin Stan
PROTECTION METHODS AND ACTIONS TO INCREASE THE SAFETY OF OPERATION IN
POWER SYSTEMS ASSIMILATED TO CRITICAL INFRASTRUCTURES 37 Ioan Marinescu, Horia Andrei and Ionut Iordache
DESIGN CONSIDERATIONS ON FLAT AND LOW RIPPLE REAL-TO-REAL TWO-SECTION
IMPEDANCE TRANSFORMER 38 Stefan Simion
COMPARATIVE NUMERICAL ANALYSIS OF THE STORED MAGNETIC ENERGY IN
CYLINDRICAL AND TOROIDAL SUPERCONDUCTING MAGNETIC COILS 39 Dumitru Cazacu, Radu Jubleanu, Nicu Bizon and Cristian Monea
THE NUMERICAL MODELING OF THE INDUCTIVE HEATING PROCESS AT DIFFERENT
FREQUENCIES, USING THE FLUX2D SOFTWARE 40
Mihaela Cornelia Novac, Marius Codrean, Ovidiu Constantin Novac, Mihaela Codrean, Mihai
Oproescu and Gyöngyi Bujdosó
ASPECTS REGARDING THE NUMERICAL SIMULATION OF THE INDUCTIVE HEATING
PROCESS, USING THE FLUX2D AND FEMM SOFTWARE 41
Mircea Gordan, Dorina Mioara Purcaru, Marius Codrean, Mihaela Cornelia Novac, Ovidiu
Constantin Novac and Mihaela Codrean
Electronic circuits and equipments
THE USE OF NUCLEAR QUADRUPOLE RESONANCE SPECTROSCOPY FOR DETECTION
OF PROHIBITED SUBSTANCES: TECHNIQUES AND EQUIPMENT 42 Cristian Monea and Nicu Bizon
HADOOP ZEDBOARD CLUSTER WITH GZIP COMPRESSION FPGA ACCELERATION 43
Ovidiu Plugariu, Lucian Petrica, Radu Pirea and Radu Hobincu
SIMULATION OF POWER FACTOR CORRECTED AC-DC BOOST CONVERTER 44
Zeynep Bala Duranay and Hanifi Guldemir
QUALITATIVE ANALYSIS OF THE TIME-FREQUENCY IMAGES OF VIBRATIONS IN
FAULTY BEARINGS 45 Dorel Aiordachioaie and Sorin Pavel
EXPERIMENTAL POWER SUPPLY ASSESSMENT FOR USUAL IT APPLICATIONS 46
Adrian Tulbure, Calin Petrascu and Valentin Voiculescu
DISMANTLING THE CONFUSION BETWEEN THE EQUIVALENT CO2 AND CO2
CONCENTRATION LEVELS 47 Gaudentiu Varzaru, Adrian Zarnescu, Razvan Ungurelu and Mihai Secere
E-session
INTELLIGENT ALARM SYSTEM FOR HOSPITALS USING SMARTPHONE TECHNOLOGY 48
Bashar Sami and Marwa Ismail
A FRAMEWORK FOR FRAUD DETECTION IN GOVERNMENT SUPPORTED NATIONAL
HEALTHCARE PROGRAMS 49 Irum Matloob and Shoab Khan
SHRAVYA - A FRAMEWORK FOR ENUNCIATION OF SANSKRIT WORDS AND PHRASES 50
Eravatee Raje, Apoorva Maheshwari, Mihir Karkare and Shubham Joshi
A NOVEL SENTIMENT POLARITY AND PREDICTION ENHANCED MACHINE LEARNING
METHOD TO IMPROVE CUSTOMER RELATIONSHIP 51 Amit Kumar and Neetesh Gupta
INTELLIGENT MONITORING OF VITAL PARAMETERS IN WIRELESS APPLICATIONS:
ANDROID SOLUTION FOR PULSE AND BODY TEMPERATURE 52 Radu Rădescu and Rareș Niculescu
AUTOMATIC ANALYSIS OF POTENTIAL HAZARD EVENTS USING UNMANNED AERIAL
VEHICLES 53 Radu Rădescu and Mihaela Dragu
PATCH SELECTION DENOISER: AN EFFECTIVE APPROACH DEFENDING AGAINST
ONE-PIXEL ATTACKS 55 Dong Chen, Ruqiao Xu and Bo Han
AGENT APPLICATIONS IN E-LEARNING SYSTEMS AND CURRENT DEVELOPMENT
AND CHALLENGES OF ADAPTIVE E-LEARNING SYSTEMS 56 Hiba A. Abu-Alsaad
MINING DATA FOR HUMAN RESOURCES 57
Andreea Nedelcu, Bogdan Nedelcu, Alexandru Ioan Sgarciu and Valentin Sgarciu
ACCELERATING BALANCE SHEET ADJUSTMENT PROCESS IN COMMERCIAL LOAN
APPLICATIONS WITH MACHINE LEARNING METHODS 58 İbrahim Tozlu, Şule Gündüz Öğüdücü, Atılberk Çelebi, Sacide Kalaycı and Seçil Arslan
BUILDING END-TO-END TASK-ORIENTED DIALOGUE SYSTEMS VIA CNNS AND
ATTENTION MECHANISMS 59 Meina Song, Zhongfu Chen, Peiqing Niu and Haihong E
USABILITY EVALUATION OF IPHONE BUILT-IN APPLICATIONS 60
Saja Al-Dabet and Shaidah Jusoh
SHIELD: AN INTELLIGENT AND AFFORDABLE SOLUTION FOR HOME SECURITY 61
Aimen Shahid, Mahroo Ali, Mariam Eijaz, Dr.Sidra Minhas and Nosheen Sabahat
PROPAGATION MODELS APPROACH FOR HUMAN SPECIFIC ABSORPTION RATE
STUDY 62 Loubna El Amrani, Tomader Mazri and Nabil Hmina
KERATOCONUS DETECTION ALGORITHM USING CONVOLUTIONAL NEURAL
NETWORKS: CHALLENGES 63 Alexandru Lavric, Valentin Popa, Cristina David and Cristian Costel Paval
NONLINEARITY DEGREE FOR CPP, 4-PP, AND 5-PP INTERLEAVERS FOR TURBO CODES 64
Lucian Trifina, Daniela Tarniceriu and Ana-Mirela Rotopanescu
PROFESSIONAL TRAINING OF STAFF FROM ORGANIZATIONS THROUGH THE GROW
METHOD 65 Delia Duminica
HUMAN AND ARTIFICIAL INTELLIGENCE: THE PARTNERSHIP THAT IMPARTS HOPE 66
Aurel Mihail Titu and Alexandru Stanciu
MAXIMUM POWER POINT TRACKING TECHNIQUES AND SUN TRACKING TECHNIQUE
IN SOLAR ARRAY SYSTEM 67 Saloua Marhraoui, Ahmed Abbou, Zineb Cabrane, Abdellah Ziouh and Mustapha Jamma
CONSTRUCTING KEYWORD PROPAGATION MAP OF FACEBOOK PAGES. 68
Soraya Chalard and Sukree Sinthupinyo
ELECTRONIC SYSTEM FOR ASSESSING AND ANALYSING DIGITAL COMPETENCES IN
THE CONTEXT OF KNOWLEDGE SOCIETY 69 Doina Banciu, Ionut Petre and Mihail Dumitrache
PROTON-EXCHANGE MEMBRANE FUEL CELLS: THE RENEWABLE ENERGY ERA 70
Alexandru Lavric, Maria Simona Raboaca, Constantin Filote and Ana Maria Nasture
MEDIA LITERACY IN A CHANGING PROCESS IN TURKEY
71 Olga Untila Kaplan
Expert systems & Artificial Intelligence
HYBRID MODELLING BASED ON SUPPORT VECTOR REGRESSION WITH GENETIC
ALGORITHMS FOR INTELLIGENT WI-FI-BASED INDOOR LOCALIZATION SYSTEM 72 Hamdi Al-Jamimi and Anas Al-Roubaiey
L0 REGULARIZATION BASED FINE-GRAINED NEURAL NETWORK PRUNING METHOD 73
Qixin Xie, Chao Li, Boyu Diao, Zhulin An and Yongjun Xu
DRONE, AIRCRAFT AND BIRD IDENTIFICATION IN VIDEO IMAGES USING OBJECT
TRACKING AND RESIDUAL NEURAL NETWORKS 74 Armando Fernandes, Márcia Baptista, Luis Fernandes and Paulo Chaves
OBJECT DETECTION IN AUTONOMOUS DRIVING - FROM LARGE TO SMALL
DATASETS 75 David-Traian Iancu, Alexandru Sorici and Adina Magda Florea
JAPANESE CHARACTER RECOGNITION WITH MICROSTRIP LINE NETWORKS
76 Marian Novac, Bogdan Marian Bodea, Petre Anghelescu, Bogdan Mihai Gavriloaia, Octavian
Fratu and Mariuca Gavriloaia
DREAM PRINCIPLES AND FAIR METRICS FROM THE PORTAL-DOORS PROJECT FOR
THE SEMANTIC WEB 77
Adam Craig, Adarsh Ambati, Shiladitya Dutta, Pooja Kowshik, Sathvik Nori, S. Koby Taswell,
Qiyuan Wu and Carl Taswell
ARTIFICIAL LOCUST SWARM ROUTING ALGORITHM: DECISION MAKING IN PATH
SEARCH PROBLEM 79 Vladyslav Alieksieiev and Andrii Berko
CAR PARK OCCUPANCY RATES FORECASTING BASED ON CLUSTER ANALYSIS AND
KNN IN SMART CITIES 80 Maria Viorela Muntean
FAST AUTOMATIC EXPOSURE ADJUSTMENT METHOD FOR IRIS RECOGNITION
SYSTEM 81
Vitaly Gnatyuk, Sergey Zavalishin, Xenya Petrova, Gleb Odinokikh, Alexey Fartukov, Alexey
Danilevich, Vladimir Eremeev, Juwoan Yoo, Kwanghyun Lee, Heejun Lee and Daekyu Shin
UNCONVENTIONAL PUBLIC TRANSPORT ANONYMOUS DATA COLLECTION
EMPLOYING ARTIFICIAL INTELLIGENCE 82 Marius Minea, Catalin Dumitrescu and Ionuț Cosmin Chiva
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
DEPLOYMENT AND COVERAGE IN WIRELESS SENSOR NETWORK: A PERSPECTIVE
83 Pradeep Kumar Singh, Yashwant Singh, Jahangir Ahmad Lone, Zdzislaw Polkowski, Sudeep
Tanwar and Sudhanshu Tyagi
MACHINE LEARNING-BASED SOFTWARE EFFORT ESTIMATION : AN ANALYSIS
84 Pradeep Kumar Singh, Zdzislaw Polkowski, Jayneel Vora, Sudeep Tanwar, Sudhanshu Tyagi
and Yashwant Singh
PERFORMANCE OF VARIOUS ALGORITHMS TO REDUCE THE NUMBER OF
TRANSMITTED PACKETS BY SENSOR NODES IN WIRELESS SENSOR NETWORK 85
Muhammed Ihsan Husni, Nayef Alduais, Ion Marghescu, Mohammed Hussein and Jiwa
Abdullah
A NEURAL NARX APPROACH FOR EXCHANGE RATE FORECASTING 86
Thitimanan Damrongsakmethee and Victor-Emil Neagoe
THE USE OF THE CLONAL SELECTION ALGORITHM FOR NQR SIGNAL DETECTION
OPTIMIZATION 87 Vasile-Gabriel Iana, Cristian Monea and Mihai Oproescu
APPLICATION OF GENETIC ALGORITHM FOR OPTIMIZATION OF NQR SIGNAL
DETECTION 88 Mihai Oproescu, Vasile-Gabriel Iana and Cristian Monea
International Workshop on Optical Communication Systems Connectivity
THE EFFECT OF BOUNDARY CONDITIONS AND MATERIAL PARAMETERS ON THE
TEMPERATURE OF HIGH POWER LEDS 89 Niculina Draghici
DESIGN OF AN LED-BASED SOLAR SPECTRUM SIMULATOR FOR PORPHYRIN DYE-
SENSITIZED SOLAR CELL CHARACTERIZATION 90 Ana Barar, Alina Elena Marcu, Paul Schiopu and Marian Vladescu
TUNABLE SELECTIVE PLASMONIC ANGLE-LARGE METAMATERIAL ABSORBER 91
Aurelian Costea, Paul Schiopu and Marian Vladescu
NEXT LEVEL FOR FIBER OPTIC PROJECTS DEPLOYMENTS 92
Cornel Barbut
International Workshop on Trends and Opportunities in Teaching Career
EMPLOYING SOFTWARE AGENTS AND CONSTRUCTIVISM TO MAKE MASSIVE OPEN
ONLINE COURSES MORE STUDENT-ORIENTED 93 Ufuoma Apoki and Gloria Crisan
A COMPARATIVE ANALISIS OF STAFF TRAINING PROGRAMMES 94
Claudiu Langa, Sofia-Loredana Tudor, Adriana-Nicoleta Lazăr and Emanuel Soare
MORE TECHNOLOGIZED IS NOT MORE EDUCATED 95
Alexandru Mărchidan
NONVERBAL CUMMUNICATION IN JOB INTERVIEWES. A CASE STUDY ON LOCAL
ORGANISATIONS 96 Elena Popescu and Tudorel Popescu
TENDENCY OF REMOVAL OF THE MEDIA FROM OFFICIAL COMMUNICATION OF
PUBLIC INSTITUTIONS 97 Florin Stoica
THE ROLE OF EDUCATION IN THE DEVELOPMENT OF PSYCHO-BEHAVIORAL SANOGENESIS MODELS IN CONTEMPORARY SOCIETY 98
Ioana Dumitru
IMPLEMENTATION OF THE EUROPEAN QUALITY ASSESSMENT FRAMEWORK IN THE
ROMANIAN EDUCATION SYSTEM 99 Maria Pescaru and Cristina Maria Pescaru
THE NATIONAL QUALITY ASSURANCE SYSTEM IN ROMANIA 100
Maria Pescaru
THE COMPETENCE OF LEARNING TO LEARN– AN INDICATOR OF EMPLOYABILITY IN
THE LABOR MARKET 101 Sofia-Loredana Tudor
DETERMINANTS OF LEARNING MOTIVATION FROM THE PERSPECTIVE OF SELF
DETERMINATION THEORY 102 Stan Maria Magdalena and Plaiasu Adriana Gabriela
International Workshop on Trends and Opportunities in Teaching Career POSTER
ROMANIAN PRE-UNIVERSITY EDUCATION FROM THE PERSPECTIVE OF SCHOOL
MANAGEMENT 103 Jianu Eugenia, Mihai Oproescu and Dumitru Tudosoiu
SCHOOL AND PROFESSIONAL ORIENTATION TO ADOLESCENTS 104
Mihai Oproescu, Eugenia Jianu, Ionut Bulgaru and Delia Duminica
MEDIA, PUBLIC OPINION AND THE CONTEMPORARY COMMUNICATION 105
Georgiana Drăghici
E-LEARNING IN COMPUTER-ASSISTED TRAINING, ADVANTAGES, DISADVANTAGES
AND FUTURE TRENDS 106 Mihai Oproescu, Vasile-Gabriel Iana, Eugenia Jianu and Mihaela-Roxana Anghel
THE ROLE OF EDUCATION IN THE DEVELOPMENT OF PSYCHO-BEHAVIORAL
SANOGENESIS MODELS IN CONTEMPORARY SOCIETY 107 Georgiana DUMITRU and Ana Apetroaiei
IMPLEMENTATION OF THE EUROPEAN QUALITY ASSESSMENT FRAMEWORK IN THE
ROMANIAN EDUCATION SYSTEM 108 Georgiana DUMITRU
THE COMPETENCE OF LEARNING TO LEARN– AN INDICATOR OF EMPLOYABILITY IN
THE LABOR MARKET 109 Maria Claudia Ionescu and Andreea Stan
THE ENGINEER PROFESSOR, A NEW GULLIVER TRAVELLING THROUGH THE
UNIVERSE OF THE METHODS 110 Florin TECAU and Cristina TECĂU
JOB PERCEPTIONS AND TRAINING NEEDS OF SOCIAL WORKERS FROM RURAL
AREAS - COMPARATIVE RESEARCH IN SEVEN EUROPEAN COUNTRIES 111 Maria Claudia Ionescu and Lucia Neagoe
THE FULLDOME DOCUMENTARY FILM IN THE CONTEMPORARY MEDIA AND
EDUCATIONAL CONTEXT -GENERAL CONSIDERATIONS 112 Cîrstea Petre Remus
International Workshop on Systems Safety & Security-IWSSS' 19
MALWARE’S DOUBLE ANTI ANALYSIS (DAA) ANALYSIS METHODOLOGY 113
Yanis Beqqali, Hamza Es Sadik, Francine Herrmann and Fabrice Sabatier
A METHOD OF DECREASING CONNECTABILITY OF DERIVED DATA, USING LOCAL
DIFFERENTIAL PRIVACY 114 Hidenobu Oguri
METHODOLOGY OF DARK WEB MONITORING 115
Nicolas Ferry, Thomas Hackenheimer, Francine Herrmann and Alexandre Tourette
SMART GRID PROTECTION USING MAC VALUE ANALYSIS 116
Balduino Estison Mugilila Camachi, Dan Popescu and Loretta Ichim
EVALUATION OF ATTACKER SKILL LEVEL FOR MULTI-STAGE ATTACKS 117
Terézia Mézešová, Pavol Sokol and Tomáš Bajtoš
SPECTRUM OPTIONS AND WIRELESS COMMUNICATION SOLUTIONS FOR DRONES 118
Laurențiu Gabriel Militaru, Dan Popescu and Loretta Ichim
ON THE DEVELOPMENT OF A ROBUST CYBER SECURITY SYSTEM FOR INTERNET OF
THINGS DEVICES 119
Octavian Ionescu, Viorel Dumitru, Emil Pricop, Octavian Buiu, Cornel Cobianu, Mihai Raneti,
Stefan Pircalabu and Costin Marica
Poster
SINGLE SENSOR BLUETOOTH MULTILATERATION FROM ARBITRARY LOCATIONS 120
Xavier Quinn
THE IMPACT OF TECHNOLOGY AND INNOVATION DEVELOPMENT ON POPULATION
DYNAMICS AND STRUCTURE 121 Cristina Teodora Balaceanu, Daniela Penu and Dorina Mocuta
VIRTUAL INSTRUMENT USED FOR PLOTTING THE ROOT LOCUS 122
Teodorescu Rodica-Mihaela
VIRTUAL INSTRUMENT USED FOR STUDYING THE STABILITY OF THE SYSTEMS 123
Teodorescu Rodica-Mihaela
IOT BASED SYSTEM FOR SMART AGRICULTURE 124
Ioana Marcu, George Suciu, Cristina Mihaela Balaceanu and Alexandru Banaru
INVESTIGATION OF THE DIFFERENT MODELS PERFORMANCE FOR EVALUATING THE
DISTURBANCE IN THE IONOSPHERE 125
Kareem Difar, Jalal Hussein Abd Ali, Amer Abbood Al-Behadili, Maysam Kadhim Kareem, Ali
Raad Deaim and Mustafa Khaleel Hamadani
CONVERSION TOOL FOR AUDIO-VIDEO FILE COMPATIBILITY IN MOODLE E-
LEARNING PLATFORM 126 Banes Vasile, Babarada Florin and Ravariu Cristian
MANAGEMENT SOFTWARE FOR A PUBLISHING COMPANY 127
George Cosmin Stanica and Petre Anghelescu
SOFTWARE FOR MODELING, SIMULATION AND PROTOTIPING RTT ROBORTS 128
Sîrb Vali-Chivuța
A REVIEW OF DIFFERENT ESTIMATION METHODS OF DC OFFSET VOLTAGE FOR
PERIODIC-DISCRETE SIGNALS 129 Mihai-Catalin Arva, Eugen Diaconescu, Mirel Stanica and Nicu Bizon
CURRENT CONSUMPTION ANALISYS FOR 8-BIT MICROCONTROLLERS 130
Alexandru Buturuga, Rodica Constantinescu and Dan Stoichescu
A DEEP CNN APPROACH WITH TRANSFER LEARNING FOR IMAGE RECOGNITION 131
Cristian Iorga and Victor-Emil Neagoe
DESIGN AND ANALYSIS OF A NEW G-SHAPE SINGLE LAYER REFLECTARRAY
ANTENNA 132 Noor Naeem and Musa Wali
SOLUTION TO CONNECT A PHOTOVOLTAIC POWER STATION TO THE NATIONAL
POWER GRID IN OPTIMUM ECONOMIC CONDITIONS 133 Angelo Nicolae Petre, Brana Liliana Samoila and Ilie Utu
SMART SERVICE SYSTEMS: SECURITY AND PRIVACY CHALLENGES IN THE
INTERNET OF THINGS 134 George Suciu, Hussain Ijaz, Roxana Damian, Ioana Petre, Gabriel Petrescu and Oana Chenaru
A CASE STUDY IN THE USABILITY EVALUATION OF AN ONLINE PUBLIC SERVICE
USED BY SENIORS 135 Adriana Alexandru, Dragos Daniel Iordache, Maria Gheorghe-Moisii and Eugenia Tirziu
UNCERTAINTY-BASED DECISION MAKING IN THE PLANNING OF ELECTRIC
TRANSMISSION NETWORKS 136 Bogdan Constantin Neagu and Gheorghe Grigoras
PERFORMANCE EVALUATION OF THE VOIP NETWORKS USING TUNNELING
TECHNIQUES 137 Petrica Ciotirnae and Lucian Murariu
PRELIMINARY CONSIDERATIONS REGARDING THE CRYPTOGRAPHIC STRENGTH OF
THE PIXEL SIEVE CRYPTOGRAPHIC PRIMITIVE 138 Incze Arpad
POWER MONITORING IN EMBEDDED SYSTEMS USING PAC1934 139
Alexandru Buturuga, Rodica Constantinescu and Dan Stoichescu
RANSOMWARE HONEYPOT 140
Cristian Pascariu and Ionut - Daniel Barbu
ORIGINAL ELECTRIC CORKSCREW WINE BOTTLE OPENER
141 Tudor Cătălin Apostolescu, Silviu Petrache, Georgeta Ionaşcu, Lucian Bogatu and Cartal
Laurențiu Adrian
THE ESTIMATION OF MONTHLY ELECTRICAL ENERGY CONSUMPTION WITH FEED
FORWARD NEURAL NETWORKS 142 Alexandru Ene and Cosmin Stirbu
AUTOMATIC GENERATION OF QUIZZES FOR JAVA PROGRAMMING LANGUAGE 143
Alexandru Ene and Cosmin Stirbu
DESIGN AND IMPLEMENTATION OF A HOME AUTOMATION SYSTEM
144 Marian Bogdan Bodea, Petre Anghelescu, Bogdan-Mihai Gavriloaia and Dragos-Nicolae
Vizireanu
ALTERNATIVES FOR RUNNING LINUX APPLICATIONS IN WINDOWS 145
Valeriu Manuel Ionescu, Manan Patel and Drashti Hindocha
BUILDING AND DESIGNING A DUAL AXIS SOLAR TRACKER FOR EDUCATIONAL
PURPOSES 146
Florin-Ciprian Argatu, Florentin-Daniel Tarcau, Violeta-Vasilica Argatu, Sorin-Dan
Grigorescu, Bogdan-Adrian Enache and Luminita-Mirela Constantinescu
REMOTE CONTROL FOR SMART HOME APPLICATIONS
147 Felix-Constantin Adochiei, Razvan-Constantin Stefan, Ioana-Raluca Adochiei, Bogdan-Adrian
Enache, Luminita-Mirela Constantinescu and Marius-Ciprian Larco
NUMERICAL METHOD FOR MODELING THE INPUT-OUTPUT CHARACTERISTIC IN A
COGENERATION POWER PLANT 148 Enescu Alexandru, Andrei Horia, Diaconu Emil and Ion Valentin
DIGITAL MEDIA DISTRIBUTION PLATFORM USING AMAZON WEB SERVICES
149 Marius Alexandru Dinca, Nicoleta Angelescu, Radu Dragomir, Dan Constantin Puchianu and
Ion Caciula
THE IDENTIFICATION OF INTELLIGENT INTERACTIONS BETWEEN EDUCATION AND
LABOUR FORCE MARKET 150
Mironela Pirnau, Radu Mircea Carp Ciocardia, Claudiu Pirnau, Liviu Daniel Ghiculescu and
Niculae Marinescu
PERFORMANCE IMPROVEMENT OF A PHOTOVOLTAIC SYSTEM USING A
PROGRAMMABLE MICROCONTROLLER 151
Daniel Marius Marcu, Florin Gabriel Popescu, Brana-Liliana Samoila, Razvan Ioan Slusariuc
and Titu Niculescu
DYNAMIC WEB FOR EFFICIENT EDUCATIONAL MANAGEMENT 152
Gheorghe Serban and Florentina Magda Enescu
WEB PLATFORM FOR E-LEARNING 153
Florentina Magda Enescu, Gheorghe Serban and Mariana Jurian
ONLINE QUIZ IMPLEMENTATION USING BLOCK CHAIN TECHNOLOGY FOR RESULT
TEMPERING PREVENTION 154 Valeriu Manuel Ionescu and Elena-Carmen Tentea
DEVELOPMENT OF A WEATHER MOBILE APPLICATION IN ANDROID STUDIO
OPERATING SYSTEM 155
Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia Novac, Mircea Petru Ursu,
Mihai Oproescu and Camelia Maria Dindelegan
OVERVIEW OF E-SERVICES PROVIDING IN SMART CITIES 156
Eugen Pop and Sorin Puscoci
DEVELOPMENT OF A WEATHER APPLICATION IN ANDROID AND IOS OPERATING
SYSTEMS 157
Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia Novac, Mihai Oproescu,
Cornelia Gordan and Gyöngyi Bujdosó
A SOLUTION TO IMPLEMENT GROVER QUANTUM COMPUTATION ALGORITHM
USING THE BINARY REPRESENTATION OF THE PHASE ON THE FPGA 158
Laurentiu-Mihai Ionescu, Alin Gheorghita Mazare, Gheorghe Serban, Ioan Lita and Daniel
Alexandru Visan
COLOR-BASED SORTING SYSTEM FOR AGRICULTURE APPLICATIONS 159
Ioan Lita, Daniel Alexandru Visan, Laurentiu Mihai Ionescu and Alin Gheorghita Mazare
DIRECT SEQUENCE SPREAD SPECTRUM COMMUNICATION MODULE FOR EFFICIENT
WIRELESS SENSOR NETWORKS 160
Daniel Alexandru Visan, Mariana Jurian, Ioan Lita, Laurentiu Mihai Ionescu and Alin
Gheorghita Mazare
THERMAL AND ELECTRICAL INVESTIGATION OF GRAPHENE-ENHANCED
CONDUCTIVE POLYLACTIC ACID BASED FILAMENTS FOR 3D-PRINTING 161 Andrei Drumea, Robert Alexandru Dobre and Cristina Ioana Marghescu
Software, data bases, and computer applications
TINY NETWORK INTRUSION DETECTION SYSTEM WITH HIGH PERFORMANCE 162
Andrei Marius Avram, Mihai Lica Pura and Stefan-Adrian Toma
WEB GUI FOR AUTOMATING THE FORMAL VERIFICATION OF SECURITY PROTOCOLS
USING CASPER&FDR4 163 Andreea Scurtu and Mihai Lica Pura
A DEEP LEARNING BASED INTRUSION DETECTION SYSTEM ON GPUS 164
Gozde Karatas, Onder Demir and Ozgur Koray Sahingoz
ENABLING THE INTEGRATION OF HEALTH-EMERGENCY ALERT WITH PRIVACY OF
PATIENTS’ LOCATION BASED SERVICES 165 Imad Ali Hasson, Nicolae Tapus and Algayar Sarmad Monadel S
MEDICAL SOCIAL MEDIA SYSTEMS – IMPLEMENTATION OF THE ANDROID
APPLICATION 166
Sarmad Monadel Sabree Algayar, Nicolae Goga, Imad Ali Hassoon and Mohammed Tali Qasim
Almalchy
INTELLIGENT SOLUTIONS - BASED FRAMEWORK FOR DIGITAL PUBLIC SERVICES. A
CASE STUDY FOR SMART TRANSPORTATION 167 Marilena Ianculescu, Lidia Bajanaru, Ion Alexandru Marinescu and Ciprian Dobre
ACCEPTANCE OF THE TECHNOLOGIES DEPLOYED FOR THE DEVELOPMENT OF
ONLINE PUBLIC SERVICES AND SYSTEMS USED BY ELDERLY 168 Adriana Alexandru, Dora Coardos and Eleonora Tudora
MODELING ECONOMIC INFLUENCE ON TECHNICAL DECISIONS IN URBAN, IOT-
BASED WATER MANAGEMENT SYSTEMS 169 Diana-Andreea Arsene, Bogdan-Ionut Pahontu and Valentin-Alexandru Vladuta
IMAGE AND VIDEO COMPRESSION ARTIFACT REDUCTION AT LOW BIT RATES USING
LOCAL COSINE TRANSFORM IN CONJUNCTION WITH SIGNIFICANCE MAP CODING 170 Hakkı Ilgin, Ahmet Akbulut and Aykut Kalaycıoğlu
BIOMETRIC SYSTEM BASED ON FACIAL RECOGNITION 171
Miruna Elena Trufasila and Petre Anghelescu
AUTOMATIC RECOGNITION OF HAND GESTURES 172
Cristian Mocanu and George Suciu
SMART CITIZEN – A PARTICIPATORY CO-CREATOR FOR ENHANCING ONLINE PUBLIC
SERVICES 173 Marilena Ianculescu, Ovidiu Bica, Alexandru Balog and Irina Cristescu
PAIN RELIEF USING VIRTUAL REALITY
174 Ioan Alexandru Bratosin, Ionel-Bujorel Păvăloiu, Andrei Vasilăţeanu, Diana Gavajiuc, George
Drăgoi and Nicolae Goga
IDENTIFICATION OF CORRESPONDENTS BETWEEN A STANDARD SERIES
COLLECTION AND AN EXPERIMENTAL SERIES COLLECTION 175 Petru Cardei, Sebastian Muraru, Raluca Sfiru and Vergil Muraru
NUMBER-PLATE RECOGNITION AND EXAMINATION OF REQUIREMENTS FOR PUBLIC
ROMANIAN ROADS USAGE 176 Loredana Chiva and George Suciu
Workshop on Renewable Hybrid Power System
MODELLING AND SIMULATION OF A SINGLE PHASE STANDALONE PV SYSTEM 177
Zeynep Bala Duranay and Hanifi Guldemir
FUZZY SLIDING MODE HYBRID CONTROL MPPT STRATEGY AND PI CONTROL AS A
CONTROLLER FOR A BATTERY INTEGRATED WITH PV SYSTEM 178 Saloua Marhraoui
THE PSO BASED GLOBAL MAXIMUM POWER POINT TRACKER 179
Onur Kırcıoğlu, Murat Ünlü and Sabri Çamur
AN IMPROVED MODEL DIRECT POWER AND TORQUE CONTROL OF PWM RECTIFIER-
INVERTER FED INDUCTION MOTOR DRIVE 180 Mustapha Jamma, Abderrahim Bennassar, Mohammed Akherraz and Mihai Oproescu
CAPACITOR BANKS PLACEMENT OPTIMIZATION IMPROVEMENT USING THE SPERM
WHALE ALGORITHM 181 Ovidiu Ivanov, Bogdan Constantin Neagu, Gheorghe Grigoras and Mihai Gavrilas
SMART ENERGY GRIDS USED IN IRRIGATION SYSTEMS USING THE BLOCKCHAIN
APPLICATIONS 182 Florentina Magda Enescu, Nicu Bizon and Cosmin Stirbu
USE OF BLOCKCHAIN TECHNOLOGY IN IRRIGATION SYSTEMS OF SMALL FARMERS'
ASSOCIATION 183 Florentina Magda Enescu, Nicu Bizon and Valeriu Manuel Ionescu
A SIMPLE METHOD OF MODELING THE PV CELL FROM A SINGLE CURRENT-
VOLTAGE CURVE 184 Marian Raducu
FEASIBILITY OF A MICRO GRID SCALE UP AT CAMPUS LEVEL - CASE STUDY
185 Dorin Let, Bogdan Ionuț Tene, Adela-Gabriela Husu, Mihail-Florin Stan, Laurentiu Marian
Stancu and Andreea Let
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
EVOLVING FUZZY AND NEURAL NETWORK MODELS
OF FINGER DYNAMICS FOR PROSTHETIC HAND
MYOELECTRIC-BASED CONTROL
Radu-Emil Precup
Co-authors: Teodor-Adrian Teban and Adriana Albu
Abstract— The development of myoelectric-based control systems for prosthetic
hands includes several approaches: on-off control, proportional control, direct
control, finite state machine control, pattern recognition-based control, posture
control, and regression control. All these approaches are considered in the model-
based control design framework, which requires accurate models of the human
hand. The human hand in such systems is a multi-variable nonlinear dynamical
system, with the inputs represented by the myoelectric signals (MESs) and the
outputs by finger angles at various joints.
The concept of evolving fuzzy (rule-based) controllers was coined by P. Angelov
back in 2001 and further developed in his later works. These controllers are
related to evolving Takagi-Sugeno (T-S) fuzzy models, for which the rule bases
are computed by a learning process, namely continuous online rule base learning.
Constructing virtual state-space process models from input-output data samples
can be carried out in this regard. Several techniques associated with T-S fuzzy
and neural network models can be used to learn the controllers for this virtual
process.
This paper starts with presenting structures for prosthetic hand myoelectric-
based control systems. A set of evolving T-S fuzzy and neural network models of
the human hand dynamics, i.e., the finger dynamics, is next offered. These models
will be used as reference models in myoelectric-based control systems. The inputs
of this nonlinear system are the MESs obtained from eight sensors placed on
human subject’s arm, and the outputs are the flexion percentages that correspond
to the midcarpal joint angles.
The structure, models and experimental results given in this presentation
belong to a relatively wide range of applications of incremental online
identification algorithms focused on the development of evolving T-S fuzzy
models, Tensor Product-based model transformation and neural network models
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 1
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
and obtained by the Process Control group of the Politehnica University of
Timisoara, Romania. Implementation details concerning the incremental online
identification algorithms will be given.
The models were tested on a dataset that covers approximately 450 s and the
results are encouraging. The system and model responses and performance
indices indicate that past samples of the output increased the performance of the
models..
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 2
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
COMPARISON OF ELECTROMAGNETIC ENERGY
HARVESTERS
Erol Kurt
Abstract— This talk compares various types of electromagnetic harvesters in
terms of their electrical and magnetic features. The harvesters have different flux
morphologies and natural frequencies and therefore that can be a superiority for
them to use in different applications from the ignition signal to the energy
harvester aims for battery-free systems. It will be pointed out that the systems
considered here have the power
optimal frequency regimes.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 3
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
LYAPUNOV-FUNCTION-BASED CONTROL
OPTIONS FOR GRID-CONNECTED
INVERTERS
Ibrahim Sefa
Abstract— Control methods of grid-interactive inverters are an interesting
research topic in power electronics. Various control methods are investigated to
control the output current of the inverter and both steady-state and transient
response performances are studied. L filters are used to reduce the switching
harmonics in inverter output current in initial studies. However, the LCL filter
which is third order becomes popular recently because of its advantages such as
smaller inductive component sizes, reduced power loses, better attenuation, and
lower inverter output current ripple. in inverter output current. Nevertheless,
LCL-type filters have the risk of closed-loop instability due to two additional
complex-conjugate poles and require resonant damping. Therefore, the design of
an appropriate control strategy for an LCL filter-based grid-connected inverter
becomes more complex than L-filter-based ones. Although different active and
passive damping methods applied to solve the damping issue, these methods either
in introduce some additional power loss or increase the control complexity.
Therefore, developing a control algorithm which removes the additional active or
passive damping requirement is more effective. The Lyapunov's direct control
scheme which employs Lyapunov function was successfully applied to the control
of dc–dc converters, three-phase ac–dc converters, single-phase power factor pre-
regulators, single- and three-phase shunt active power filters, L-filter-based
single-phase grid-connected photovoltaic inverters, switched reluctance motor
drive system, and single-phase uninterrupted power supply inverters
accomplishing excellent dynamic response and assuring global stability under
large signal transients. In this study, various Lyapunov-function-based control
(LFBC) schemes proposed for a single-phase grid connected voltage source
inverter with LCL filter is introduced. Since the use of LCL filter causes
resonance, the conventional (CLFBC) scheme employing the inverter-side current
guarantees the asymptotic global stability, but it is not able to damp the
resonance. In order to damp the resonant, the Lyapunov-function based control
scheme can be extended with capacitor voltage or second current feedback. The
analytical equations of the closed-loop poles for each control scheme, the effect of
changing controller gains on the loci of closed-loop poles is also discussed. These
methods are validated with simulation and experimental studies.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 4
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
HYBRID SYSTEMS FOR ELECTRICAL GENERATION
WITH ENERGY STORAGE
Slim Tnani
Abstract— Today, both urban and rural environments will manage water and
energy as an integrated system. This situation directly leads us to the smart cities'
concepts, were the city is ruled as an integrated environment where all systems
inside it should cooperate to achieve an optimal point of operation.
In the era of micro-grids and renewable energies, the local management of these
energies is a challenge. Although the environmental impact is well established, the
problems posed by the introduction of renewable energies must be addressed.
Add to this the problem of the intermittency of these energies; the storage of
energy becomes imperative. This one can be electrochemical, inertial or hydric.
In this lecture, we will present some technological solutions as well as control
methods based on innovative command laws.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 5
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Keynote Lectures
UNEXPECTED APPLICATION-SPECIFIC DIGITAL
IMAGE ACQUISITION ERRORS
Constantin Vertan
Abstract— Visual sensing, under its common form of digital image, become both
a commodity and a must in today’s applications. Affordable and effective digital
image acquisition sensors and their underlying postprocessing methods enabled
the presence of an immense variety of image-based applications. Although the
core of the image processing methods and algorithms are now well established,
through the years, in particular applications unexpected image acquisition
requirements emerged, related to images that were unsuited for that particular
use, although correct. In this talk we present examples of such unexpected
application-specific digital image acquisition errors, in both consumer
applications and medical applications, showing some solutions that become more
or less state of the art.
Consumer color imaging exploded as smartphones became ubiquitous. Simple
(i.e. technically correct) color images of people and places are no longer enough,
since the consumers are looking for beauty and emotion. Image acquisition is now
conditioned by the possibility of correcting red-eyes, closed eyes, non-smiling
faces or facial imperfections, additions that most phone- and camera makers tend
to offer.
As digital image acquisition is used in more specialized domains (like diagnostic
aid in medicine), the application constraints become more significant, boosted by
the problem understanding gap between the medical and the engineering staff.
Significant examples can be noted in the acquisition of images in unconstrained
environments, in which unexpected problems related to camera visual field
obstruction and image focalization may appear .
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 6
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
MEASURING GLUCOSE BLOOD WITH
SPECTROSCOPY SKIN IN NEAR INFRARED
Ionescu Marius and Pașca Sever
Abstract—Absorption of Near Infrared Light (NIR) is stronger when the breech
is in the systolic period. In this way, the system can get cyclic finger signals from
the tip of the finger, signals that can reflect the absorption of infrared light
through the skin, muscle, bone and venous blood, or the absorption of infrared
light through arterial blood.
Keywords—workflow, algorithm, non-invasive, methods, blood, glucose,
measuring, monitoring, skin, absorption
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 7
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
ANALYSIS OF PRIMARY-SIDE SERIES
COMPENSATION OF INDUCTIVE CHARGERS
FOR BIOMEDICAL IMPLANTABLE DEVICES
Eleni Gati, Sotirios Kokosis, Nikolaos Patsourakis and Stefanos Manias
Abstract—In this work, the use of series compensation only in the primary side
of an inductive charger for biomedical implantable devices is proposed, in order
to minimize the component count of the implantable part of the system and
increase its lifetime and reliability. Comparison with series-series compensation
shows that the proposed topology is an equal substitute for the latter, in terms of
output power, when operating at the natural resonant frequency. Simulation
results validate the detailed theoretical analysis, suggesting that this is a
promising alternative for contactless chargers for medical applications.
Keywords—inductive charger, compensation, resonant circuits, implantable
devices, wireless charging
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 8
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
EVOLVING FUZZY AND NEURAL NETWORK
MODELS OF FINGER DYNAMICS FOR
PROSTHETIC HAND MYOELECTRIC-BASED
CONTROL
Radu-Emil Precup, Teodor-Adrian Teban and Adriana Albu
Abstract—This paper first presents a structure for prosthetic hand myoelectric-
based control systems (MBCSs). A set of evolving Takagi-Sugeno fuzzy and
neural network models of the human hand dynamics, i.e., the finger dynamics, is
next offered. These models will be used as reference models in structures of
MBCSs. The inputs of the models are the myoelectric signals obtained from eight
sensors placed on human subject’s arm, and the outputs of these models are the
flexion percentages of midcarpal joint angles. Elements of model-based fuzzy
control are included. This plenary keynote paper is supported by authors’ recent
papers on modeling in the framework of prosthetic hand myoelectric-based
control.
Keywords—plenary keynote paper, evolving fuzzy models, midcarpal joint angles,
model-based fuzzy control, myoelectric-based control, neural network models
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 9
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
ANALYSIS OF LOCAL BINARY PATTERN FOR
EMPHYSEMA CLASSIFICATION IN LUNG CT
IMAGE
Eva Tuba, Ivana Strumberger, Nebojsa Bacanin and Milan Tuba
Abstract—Medical digital images and methods for their processing and
automatic analysis have been used for faster and more precise diagnosis.
Computer aided diagnosis systems are widely used by specialists as help for
detecting and analyzing suspicions regions in medical digital images. Various
types of medical digital images and numerous diseases that can be detected on
them make this wide research field. One of the diseases that can be detected in
lung CT images is chronic obstructive pulmonary disease or emphysema. In this
paper we analyzed the capabilities of texture descriptors, local binary pattern, for
detecting and classification of emphysema. Three different types of local binary
pattern are used. Instead of using a whole local binary pattern operator output,
statistical measurements are used. Support vector machine optimized by elephant
herding optimization algorithm was used for classification. Based on the obtained
results, it can be concluded that six statistical information of uniform local binary
pattern achieved the best classification accuracy.
Keywords—emphysema detection, texture features, local binary pattern, support
vector machine, swarm intelligence, elephant herding optimization
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 10
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
ESTABLISH: A SMART HEALTH PLATFORM
FOR ENHANCING THE QUALITY OF LIFE
George Suciu, Adrian Pasat, Mihaela Balanescu, Ioana Suciu,
Alexandru Banaru and Iacob Crucianu
Abstract—Modern society is struggling to improve health services and
biomedical systems, trying to efficiency them, which is a rather difficult problem.
To improve health care services, the ESTABLISH project, which uses an IoT
(Internet of Things) based information system, has been introduced. This system
contains environmental and portable sensors networks, computer applications
and the human factor. In physical architecture is described the decision support
system that uses complex hardware and software components. In Experiments
and Results are presented some aspects such as Data collecting, Programming,
Data presentation and analyze.
Keywords—ESTABLISH, IoT, PostgreSQL, smart health, quality of life
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 11
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Bio-medical applications & biomaterials
A BIOMETRIC SECURITY MODEL WITH CO-
OCCURRENCE MATRICES FOR PALMPRINT
FEATURES
Sorin Soviany and Sorin Puscoci
Abstract—This paper presents a biometric authentication model using the
palmprint, in which the data processing is done using textural statistical features
and co-occurrence matrices. Several features sets are extracted and then
combined using a functional fusion rule, avoiding the commonly used
concatenation feature-level fusion. The target application has several security
levels in order to accurately identify the most authorized person. The designed
system operates in identification mode because the goal is to guess the true identity
of a person using the biometric credential without the user-name.
Keywords—matrix, statistical features, functional feature-level fusion
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 12
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
ONLINE POWERTOSSIM SIMULATOR FOR
WIRELESS SENSOR NETWORKS
Anas Al-Roubaiey and Hamdi Al-Jamimi
Abstract—Wireless Sensor Networks (WSNs) are nowadays the base of many
Internet of Things (IoT) applications. One critical issue in developing WSNs
related applications and protocols is how to measure the Energy consumption,
which is very important for estimating the network lifetime. TOSSIM simulator
is one of the most popular simulators for developing and testing WSN protocols
and applications. However, it does not support energy measurements, which was
tackled by an extension tool called POWERTOSSIM. This tool works separately
from TOSSIM where it uses the simulation's output file at the end of the
simulation to generate energy measurements. Therefore, TOSSIM and
POWERTOSSIM do not support developing energy-aware protocols and
applications for WSN, because this type of development needs online energy
measurements, while the simulation is running. In this paper, we tackle this
drawback by developing an Online Energy Model and integrate it with TOSSIM
simulator. The proposed model is verified by comparing its results with the results
generated by POWERTOSSIMZ.
Keywords—WSN, Wireless Sensor Networks, IoT, Simulator, Energy-Aware,
TOSSIM, TinyOS, Emulator
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 13
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
HYBRID VLC COMMUNICATION SYSTEM
FOR SMALL TO MEDIUM SIZE ENTERPRISES
Andrei Scheianu and George Suciu
Abstract—The present paper focuses on the support of the key factors in the
components development. This is approached with the design and implementation
of a VLC/IR-RF hybrid system (Visible Light Communication / Infrared - Radio-
Frequency) based on an innovative and multifunctional thermal sensor
measurement module with increased sensitivity, low cost and low energy
consumption. This system will have the capability of multi-functional detection
for energy consumption monitoring and environmental control in homes,
buildings and offices by using an ultra-low-resolution sensor (80x80) called micro-
bolometer, which possess the ability to detect movements and ambient
temperature. Additionally, the hybrid VLC system will provide the capability of
integration of secondary sensors for detecting chemical and physical information
from personal buildings and offices. The final goal of the Hybrid VLC/IR-RF
project is to provide a hybrid bi-directional optical communication system
capable of delivering high performance in terms of maximum communication
distance, transfer speed and resistance to sunlight disturbance. The research
activities were started by developing a laboratory testbed oriented in this case
only on analyzing the characteristics of a VLC communication channel under the
influence of the already existing LED lighting sources within the research
laboratory.
Keywords—VLC, Infrared, Radio-Frequency, Micro-Bolometer
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 14
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
MASSIVE MIMO TECHNOLOGY FOR 5G
ADAPTIVE NETWORKS
Cristina-Gabriela Gheorghe, Radu Dragomir and Dan Alexandru
Stoichescu
Abstract—This paper is presenting the narrowband flat fading MIMO system
model used in WiFi, WiMAX,HSPA+ and LTE broadband wireless
communications systems as well as in digital TV broadcasting. MIMO channel
capacity is introduced. Massive MIMO technology is reviewed and discussed in
respect with 5G.
Keywords—wireless, MIMO, 5G, channel, efficiency, beamforming
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 15
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
THREAT CLASSIFICATION IN CURRENT
COMMUNICATION INFRASTRUCTURES
Ioan Constantin, Cristian Patachia, Carmen Patrascu, Andrei Avadanei
and Lucian Nitescu
Abstract—Telecommunications networks are essential for the day-to-day
running of all nations businesses and public services, but concerns have been
raised in recent years over their security. Private businesses, government agencies
and other bodies are dependent on telephone and internet services provided by
telecommunications (telecoms) networks to carry out daily operations. Telecoms
networks also provide services integral to the health and social life of the
population. In this respect, telecoms have been recognized as one of the main
critical national infrastructure sectors – since they are pivotal infrastructures to
the functioning of a state or country.
Telecommunications networks face a range of physical and cyber threats that
may be malicious, non-deliberate or naturally occurring. While there is no
mandated security and resilience standard for telecommunications, current
resilience mainly includes investing in duplicates of infrastructure (i.e. disaster
centers, double networks) and installing back-up power supplies
Keywords—Threats, Resilience, Telecommunication, Security, Cyber Security
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 16
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
FEMTOCELL OUTAGE DETECTION IN
MULTI-TIERED NETWORKS USING LSTM
Hasan Tahsin Oğuz, Aykut Kalaycıoğlu and Ahmet Akbulut
Abstract—Self Organizing Networks (SONs) are considered as one of the key
features for automation of network management in new generation of mobile
communications. The upcoming fifth generation (5G) mobile networks are likely
to offer new advancements for SON solutions. In SON concept, self-healing is a
prominent task which comes along with cell outage detection and cell outage
compensation. 5G networks are supposed to have ultra-dense deployments which
makes cell outage detection critical and harder for network maintenance.
Therefore, by imitating the ultra-dense multi-tiered scenarios regarding 5G
networks, this study investigates femtocell outage detection by means of the
metrics generated in user equipments with the help of Long-Short Term Memory
(LSTM). Based on the parameters such as signal to interference noise ratio and
channel quality indicator, time series data of the user equipments in the femtocell
site are trained and tested with LSTM network. On the average, in more than
77% of the cases the outage states of the femtocells are correctly predicted.
Keywords—Cell Outage Detection, Self Organizing Networks, LSTM, Ultra-dense
networks, 5G, Femtocells
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 17
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
CENTRALISED MULTI-HOP ROUTING FOR
DEVICE-TO-DEVICE COMMUNICATION:
SIMULATION AND RESULTS
Mustafa Khaleel Hamadani and Husam Al-Alwash
Abstract—Device-to-Device (D2D) communication allow the users in proximity
to communicate directly, without relay the data through the Base Station (BS).
However, in case the users not in proximity to each other the data have been
relaying hop by hop to reach user destination. in the multi-hop network, a number
of the intermediate nodes used to deliver the data from source to destination.
However, routing decision in a multi-hop network is a critical issue. in this work,
the routing decision is taken by a centralised node for a given cell. this paper
review a number of centralised multi-hop routing scheme for D2D
communication. several experiments are conducted to evaluate the multi-hop
routing scheme (reactive and proactive) under different condition and cases. the
simulation results show that the number of nodes has an effect on the number of
control message exchanged in the network. Moreover, choosing the routing mode
on the BS has an effect on the resource consumption on the Base Station.
Keywords—Device-to-Device, multi-hop, omnetpp, routing, control-plane, data-
plane, v2v
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 18
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
A METHOD FOR IMPROVING THE
ACCURACY OF DIRECTION OF ARRIVAL
MEASUREMENT BASED ON SPARSE VECTOR
ESTIMATION
Ionela-Cristina Voicu, Silviu Ciochină and Andrei Anghel
Abstract—This paper presents a method to determine the direction of arrival
(DOA) of electromagnetic waves to a linear array of antennas. It is based on
Discrete Fourier Transform and uses a sparse vector estimation technique to
improve the accuracy. Unlike the other existent methods, this approach allows
DOA estimation in a “single shot” data acquisition.
Keywords—Direction of arrival, spectral analysis, Orthogonal Matching Pursuit
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 19
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
AN ANALYSIS OF CRYPTOGRAPHIC
ALGORITHM STRENGTH BASED ON S-BOX
PROPERTIES
Roxana Dragomir, Sergiu Maluțan and Marilena Lazăr
Abstract—It is well known that, the block algorithms supply security through
its components (S-boxes, boolean functions, polynomials). Depending on the
characteristics and properties of their components, the block algorithms provide
a certain level of security. If the algorithm components are weak, then the
algorithm may be weak. This paper intends to approach a part of this issue by
analyzing the way in which the S-boxes’ properties influence the strength of the
algorithms.
Keywords—s-box, diffusion, function
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 20
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
ENERGY EFFICIENT TRUST-BASED
SECURITY MECHANISM FOR WIRELESS
SENSORS AND UNMANNED AERIAL
VEHICLES
Valentin-Alexandru Vladuta, Ion Bica and Victor-Valeriu Patriciu
Abstract—Nowadays, security is one of the most debated topics due to the
diversity and increased number of attacks. Researchers and industry try to come
with solutions to be one step in front of attackers but they do not always succeed.
Sensors are the preferred devices for attackers because of their limited
capabilities. Traditional security mechanisms do not work on these and therefore,
dedicated solutions need to be created. For this reason, this paper proposes a
solution for mitigating internal attacks that affect wireless sensors. With the aid
of a trust-based security mechanism, compromised sensors can be detected and
excluded before they can make more damage in the environment. The novelty of
the proposition comes from the fact that is developed for environments that uses
unmanned aerial vehicles (UAV) to collect data. Current literature did not tackle
with trust management in UAV-sensor communication and for this reason this
paper can represent the first brick on a subject of great interest. The proposition
uses both direct and indirect trust values for determining the final trust value.
Results demonstrate that the proposition is energy efficient and can limit the
damage produced by an attack.
Keywords—energy, security, trust, unmanned aerial vehicle, wireless sensors
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 21
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
PERFORMANCE ANALYSIS OF
TRANSMITTER IDENTIFICATION BASED ON
I/Q IMBALANCE ESTIMATION
Özlem Alpergün, Selçuk Taşcıoğlu and Memduh Köse
Abstract—Performance of a transmitter identification method based on I/Q
imbalance estimation is analyzed for different modulation types in this work. This
analysis is considered on the basis of the constellation structure of proper and
improper modulation signals. The effect of impropriety of complex signals on the
features obtained from I/Q imbalance is analyzed. Simulation results show that
transmitters can be identified with a high accuracy for proper communication
signals even at low SNR, whereas the identification performance degrades for
improper communications signals, especially at low SNR.
Keywords—IQ imbalance, proper and improper communications signals,
transmitter identification
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 22
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
BLIND DETECTION OF IMPULSE RADIO UWB
TIME- HOPPING PULSES USING THE PHASE
SPACE TRANSFORMATION
Florin Diaconescu
Abstract—In this paper, we focus on blind Time of Arrival (ToA) detection and
prediction based on time series analysis of the measured samples of an impulse
radio UWB time-hopping signal. The ToA detection is based on pattern cluster
recognition in time-delay embedding space. This approach has been used for data
mining in time series and propose a trade-off between accuracy and computing
complexity. Also, the main goal of this study is to identify an estimation algorithm
having as little information as possible regarding the received signal.
Keywords—Pulse train analysis, phase space reconstruction, time-delay
embedding, genetic algorithm
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 23
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
ZIGBEE LOCALIZATION SYSTEM FOR
PUBLIC TRANSPORT VEHICLES
Valentin Iordache, Razvan Andrei Gheorghiu, Valentin Alexandru Stan
and Madalina Tarla
Abstract—The importance of public transport in modern cities is undisputable:
considering the land usage per traveler is about 20 times more efficient than
private cars. But an unreliable transport cannot be attractive and will not be used
at its fullest. It is important to have a good knowledge about the time a vehicle
arrives in a bus stop, and when you will get to your destination. GPS systems may
provide location, but with a rough approximation, especially in cities with tall
buildings, or some vehicles may not possess it. Therefore, a complementary system
must be installed to improve the location accuracy. Based on its main features,
ZigBee was considered to be a solution. With the possibility of measuring RSSI, it
was considered that location in two-dimensional space (like the road network) can
be obtained. The analysis performed, both in laboratory (controlled) environment
and in real life conditions, tested the possibility to use this technology for more
accurate detection of public transport vehicles along the line.
Keywords—ZigBee, localization, RSSI, V2I, public, transport, urban, traffic
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 24
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
ASSESSMENT OF ZIGBEE
COMMUNICATIONS EFFICIENCY FOR
TRUCK PLATOONING APPLICATIONS
Razvan Andrei Gheorghiu, Valentin Iordache and Marius Minea
Abstract—Truck platooning represents an innovative solution to increase fuel
efficiency of the freight road transport. This method assumes short gaps between
trucks and truck platooning is recommended for obtaining better fuel
consumption. However, this may require a specific and/or dedicated
infrastructure, since the total length of the convoy may be considerable, with a
possible negative impact on the general traffic behaviour: other vehicles would
need significantly increased space (and time) to overtake the truck platoon. To
solve this situation and allow other vehicles to gradually overtake the platoon a
solution is proposed for dynamic platoon formation, based on vehicle-to-vehicle
communications. The ZigBee communication technology is proposed to ensure
the identification of vehicles that are obstructed by the platoon and a series of
laboratory measurements and field tests have been undertaken to assess validity.
Keywords—Communication efficiency, Platooning, V2V, ZigBee
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 25
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Communications
USAGE OF BLUETOOTH SCANNERS TO
DETECT URBAN TRAFFIC
Razvan Andrei Gheorghiu, Valentin Alexandru Stan, Valentin Iordache,
Dorin Buretea and Ilona Madalina Costea
Abstract—Traffic data gathering represents a key element in managing urban
flows. Knowledge about vehicles’ movements represent the basis for traffic
signaling times calculation. In this regard, collection of traffic information (as
detailed as possible for different categories) is done in all adaptive traffic
management systems, but usually performed with static detectors (sometimes
expensive ones, like video cameras with image processing software). This solution
presents disadvantages like installing costs, lane closure (for some detectors), or
maintenance costs. As the infotainment system inside vehicles is starting to be a
standard for new vehicles, with capabilities of smartphone connection via
Bluetooth, it appears that the detection of this wireless communication may
provide information about the vehicle itself. In this article the authors have tested
the possibility to detect Bluetooth communications inside vehicles using standard
Bluetooth modules.
Keywords—Bluetooth, traffic detection, vehicle communications, urban traffic,
adaptive traffic management
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 26
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
DESIGN OF A STRING-ENCODER AND IMU
BASED 6D POSE MEASUREMENT SYSTEM
Ekrem Yavuz, Yavuz Şenol, Merih Özçelik and Hüseyin Aydın
Abstract—Industrial robots have been a part of industrial production for a long
time and they are expanding their sphere of influence with developing
technologies. The use of robots requires the teaching of tasks to robots. For this
teaching procedure, it is necessary to record the teaching tool’s movements in high
precision and accuracy. In this paper, it is aimed to measure the position and
orientation, in other words the pose of the teaching tool in six dimensions using
an inertial measurement unit and four string-encoders attached to the teaching
tool. Then, the measured pose information can be transferred to a robot
manipulator for tracking the recorded trajectory of the teaching tool. In that way,
operator’s movement can be copied and then used by robots to reproduce best
product which has been produced by the operator. The 6D pose measurement
system was designed and experimentally tested, and the obtained results show
that the system satisfies accuracy and precision expectations for target
applications.
Keywords—pose measuring, tool tracking system, movement record, sensor
system, inertial measurement unit (IMU), string-encoder
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 27
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
FPGA IMPLEMENTATION OF
MULTICHANNEL FIR FILTERS
Ibrahim Sefa and Cihan Aydin
Abstract—Latest generation FPGAs determine the future usage of FIR filters.
Their DSP blocks are able to implement fixed-point data types for efficient
computations. The systolic multiply-accumulate architecture is utilized for
various order and parallel multiple channel to efficiently handle resource and
timing considerations. Implementing various order filter taps, resource and
latency of the particular architecture of Xilinx Artix-7 (XC7A100T-1CSG324C)
series with the clock frequency of 100 MHz and 12 bit input and 12 bit output is
observed. The proposed design also shows that this design is suitable for
multichannel parallel implementation such as power electronics applications in
Smart Grids.
Keywords—FPGA, FIR filter, parallel, multichannel, adc, dac, smart, grids
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 28
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
RELIABLE FPGA-BASED CAMERA SENSOR
FOR NCS
Hadeer Ahmed, Gehad Alkady, Hassan Halawa, Ramez Daoud,
Hassanien Amer, Ihab Adly, Tarek Refaat and Manar Shaker
Abstract—Networked Control Systems (NCSs) form an interesting architecture
for industrial applications. They are composed of smart sensors, actuators and
controllers. Also, FPGAs have recently been progressively used in industry. One
of the main advantages of FPGAs is the feature of Dynamic Partial
Reconfiguration (DPR) which is used to repair some failures without interrupting
system operation. This paper combined both NCS and FPGAs in a new
architecture that has several advantages. First, it includes an image storing
capability which is very important in certain applications. Second, the
architecture has several fault-tolerant features in order to prolong system
lifetime. Third, even in the case of failure, raw video is never sent over the
network. A case study is presented to quantify the increase in reliability of the
presented system. Markov models were developed and the SHARPE package was
used to compare the reliability of the proposed system to that of a comparable
system in the literature; the results indicate that the proposed system is more
reliable.
Keywords—FPGAs, NCS, Fault Tolerance, Reliabilty, Markov Model
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 29
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
MODELING AND SIMULATION OF
QUADROTOR UAV USING PID CONTROLLER
Mehmet Karahan and Cosku Kasnakoglu
Abstract—Recent developments in sensor technology, actuators and energy
storage devices provides opportunities for development of micro flying robots.
This paper provides information about modeling and control of a Quadrotor.
Proportional Integral Derivative (PID) controller is designed for altitude and
attitude control of Quadrotor. Various simulations were performed and it could
be interpreted that the PID controller is capable of tracking the desired reference
values. Finally, the last section is devoted for discussing the results of each
simulation.
Keywords—quadrotor, UAV control, quadcopter, dynamic modeling, PID
controller, mathematical model, attitude control, altitude control
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 30
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
MODELLING AND CONTROL OF PAPER
DRYING PLANT
Cristian Patrascioiu and Sinziana Radulescu
Abstract—The paper presents the research begin modelling and control of the
paper drying. The researches have been generated by the investigations of the
industrial paper drying plant. The paper is structured in four parts. In first part
they are analysed the references of the drying process, modelling process and
control process. The second part presents a detailed description of the drying
process and industrial paper drying plant. In this part there are analysed the
major operating problems of the plant. The third part represents a author’s
contribution of paper drying process modelling. The last part is destined to design
of paper quality control system.
Keywords—drying paper, modelling, humidity sensor, control
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 31
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
NETWORKED CONTROL SYSTEM
ARCHITECTURE FOR AUTONOMOUS
UNDERWATER VEHICLES WITH
REDUNDANT SENSORS
Kareem Alansary, Ramez Daoud, Hassanein Amer and Hany Elsayed
Abstract—Autonomous Underwater Vehicles (AUVs) represent a very secure
method to investigate depths that were inaccessible and/or hazardous for manned
and remotely operated underwater vehicles. This paper proposes a Networked
Control System architecture for an AUV and conducts an in-depth analysis of its
network in multiple scenarios. Furthermore, a technique for retrieving failed
AUVs is discussed and proven from a network perspective. Finally, sensor
reliability is enhanced using fault tolerance.
Keywords—AUV, NCS, Ethernet, fault-tolerance, reliability, Triple Modular
Redundancy (TMR)
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 32
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
AN APPROACH FOR ESTIMATING THE
TOTAL HEAT TRANSFER RATES IN
EMBEDDED SYSTEMS
Tudor - George Alexandru and Cristina Pupaza
Abstract—Thermal design represents an essential stage in the cyber - physical
systems development workflow. Recent advances in the field of Industry 4.0 bring
into discussion emerging thermal issues due to extended networking and
computational requirements, combined with the ongoing efforts of embedded
systems miniaturization. Due to the tight constraints applied to the process,
achieving an optimal cooling solution represents a challenging perspective. From
this point of view, approaches based on conservative assumptions can no longer
be acceptable. While multiphysics simulation software can cope with the multiple
viewports of the thermal design process, the complexity of such approaches can
be overwhelming. The present work addresses such issues by combining discrete
event simulation with computer aided engineering software, supported by
experimental methods. The approach allows engineers to capture the total heat
transfer rate of active heat sources by having just a basic understanding of the
synergic nature of cyber - physical systems.
Keywords—CPS, DES, FEM, Arduino
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 33
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
A DEEP CNN FOR IMAGE ANALYTICS IN
AUTOMATED MANUFACTURING PROCESS
CONTROL
Manuella Kadar and Daniela Onita
Abstract—Computer vision is widely used in control of manufacturing
processes. However, due to the relatively high costs, automated visual inspection
is applied only for the final product and not after each production phase. Faulty
products are identified at the end of the production pipeline, little information is
provided with regard the causes and the production phase that produced the
defect products. This paper presents a deep CNN for the enhancement of the
computer vision system by providing additional information on the type of the
product and consequently on the production phase that generated that product,
and fault, respectively. The CNN has been integrated into the pipeline for the
automated process control. This information is important for further decision
makings in production flow management. The paper presents full description of
the deep CNN model design with discussions based on image analytics carried out
on 12k database of images of products from the porcelain industry.
Keywords—image analytics, CNN, automated classification, deep learning, defect
control
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 34
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Control, robotics and mechatronics
A CASE STUDY OF MULTI-ROBOT SYSTEMS
COORDINATION USING PSO SIMULATED IN
WEBOTS
Stan Alexandru-Calin and Oprea Mihaela
Abstract—The paper presents a case study of multi-robot systems coordination
as a simulation using the PSO algorithm. The simulations were performed in
Webots. The case study is focus on finding the best tuning parameters for
coordination method applied on a multi-robot system form by 10 e-puck robots.
The experimental results are obtained by simulating the system evolution in
Webots. The results are analyzed and the findings are presented in the paper.
Keywords—multi-robot system(MRS), coordination, simulation, PSO, Webots
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 35
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
MEASURING AND MAINTAINING THE
WATER LEVEL IN A TANK FOR EFFICIENT
USE IN IRRIGATION
Ionut Craiu, Florian Ion, Nicolae Fidel, Ramona Chirescu and Mihail-
Florin Stan
Abstract—This paper presents a device for measuring and maintaining the
constant water level in a tank. The device uses a capacity sensor to measure the
water level. The sensor has a DC voltage output proportional to the water level in
the tank. This voltage can be used in other automation too. The water level, in
percentages, is displayed on a vu meter with 8 LEDs. The circuit for maintaining
the constant level consists in a comparator with hysteresis. The level of the water
is adjustable, using a reference voltage from a potentiometer (marked in
percentages). The level of the water is compared with the prescribed level and the
difference between them commands the start/stop of the water pump which
supplies the tank through a relay. The device is powered by 220V and is isolated
from the environment.
Keywords—capacitive level sensor, water level monitoring, maintaining constant
water level
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 36
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
PROTECTION METHODS AND ACTIONS TO
INCREASE THE SAFETY OF OPERATION IN
POWER SYSTEMS ASSIMILATED TO
CRITICAL INFRASTRUCTURES
Ioan Marinescu, Horia Andrei and Ionut Iordache
Abstract—In present times, humankind is aware that global warming is a
reality, resources are finite while population is growing and more energy
demanding. Environmental protection, sustainable development and energy
efficiency are increasingly well-known concepts, applied by managers, regulators
and end users alike. Increasingly often and severe weather phenomena, terrorism,
cyber-criminals and hybrid warfare are impacting the power systems, affecting
the quality of life, the economy or even the energy security of states. The authors
unambiguously recognize the progress made in implementing new technology
systems (IT, telecom, SCADA) in power systems and intends to draws attention
to the vulnerabilities that emerge with the digitization (much improved response
speed, instantaneous location of any error/interruption, automatic protection
systems, flexibility, etc.) in order to not allow for a relatively easy cyber-attack
that could partially or totally bring the power grid down. The subject debated in
this paper represents risk assessment of power systems as critical infrastructures
and a fire simulation at an electrical transformer is presented as a case study.
Keywords—risk, vulnerability, security, resilience, critical infrastructure, power
grid
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 37
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
DESIGN CONSIDERATIONS ON FLAT AND
LOW RIPPLE REAL-TO-REAL TWO-SECTION
IMPEDANCE TRANSFORMER
Stefan Simion
Abstract—Design formulas for the real-to-real impedance transformer
consisting of two transmission line sections are developed by analyzing the real
and imaginary parts of the input impedance. The proposed design formulas may
be used to obtain flat real-to-real impedance transformation, as well as wideband
impedance transformers with low ripple of the real part of the input impedance.
Keywords—Design Considerations on Flat and Low Ripple Real-to-Real Two-
Section Impedance Transformer
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 38
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
COMPARATIVE NUMERICAL ANALYSIS OF
THE STORED MAGNETIC ENERGY IN
CYLINDRICAL AND TOROIDAL
SUPERCONDUCTING MAGNETIC COILS
Dumitru Cazacu, Radu Jubleanu, Nicu Bizon and Cristian Monea
Abstract—In this paper a comparative analysis of the stored magnetic energy
in cylindrical and toroidal superconducting magnetic coils is performed. For a
fair comparison, similar dimensions are used for both coils (diameter and cross
section), in analytical and numerical modeling. The numerical modeling has been
performed using the finite element COMSOL Multiphysics® software. The
energy stored in a toroidal coil is compared with an equivalent cylindrical coil and
is shown to be higher with 65% and 57% using the analytical and numerical
modeling, respectively. Also, the results have highlighted an error of 21% and
3.7% for the analytical modeling compared to the numerical modeling in case of
cylindrical and toroidal magnetic coils, respectively.
Keywords—magnetic, energy, storage, coil, modeling, simulation, finite element
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 39
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
THE NUMERICAL MODELING OF THE
INDUCTIVE HEATING PROCESS AT
DIFFERENT FREQUENCIES, USING THE
FLUX2D SOFTWARE
Mihaela Cornelia Novac, Marius Codrean, Ovidiu Constantin Novac,
Mihaela Codrean, Mihai Oproescu and Gyöngyi Bujdosó
Abstract—This work presents the numerical modeling of the induction heating
process, for the case of surface heating, with the view of tempering a steel bar,
using the Flux2D software.
Keywords—numerical modeling, Flux2D, induction heating, process, Finite
Element Method (FEM)
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 40
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electrical engineering applications
ASPECTS REGARDING THE NUMERICAL
SIMULATION OF THE INDUCTIVE HEATING
PROCESS, USING THE FLUX2D AND FEMM
SOFTWARE
Mircea Gordan, Dorina Mioara Purcaru, Marius Codrean, Mihaela
Cornelia Novac, Ovidiu Constantin Novac and Mihaela Codrean
Abstract—The aim of this paper is to present some aspects of the numerical
modeling performed in order to study the process of induction heating applied to
a workpiece, using Flux2D and FEMM software.
Keywords—numerical simulation, induction heating, Flux 2D, FEMM, CAD
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 41
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
THE USE OF NUCLEAR QUADRUPOLE
RESONANCE SPECTROSCOPY FOR
DETECTION OF PROHIBITED SUBSTANCES:
TECHNIQUES AND EQUIPMENT
Cristian Monea and Nicu Bizon
Abstract—A promising bulk detection technique for detection of prohibited
substances is nuclear quadrupole resonance. Its advantages over other detection
techniques have determined the research of excitation methods and development
of laboratory and commercial systems. This paper presents a brief overview of
the use of nuclear quadrupole resonance for detecting prohibited substances, by
explaining the physical principle, detailing the detection methods and presenting
some laboratory and commercial equipment.
Keywords—NQR, spectroscopy, equipment, methods, excitation, detection
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 42
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
HADOOP ZEDBOARD CLUSTER WITH GZIP
COMPRESSION FPGA ACCELERATION
Ovidiu Plugariu, Lucian Petrica, Radu Pirea and Radu Hobincu
Abstract—This paper presents the implementation of a heterogeneous Hadoop
cluster based on the Zynq ZedBoard development platform with GZIP FPGA
offloading for high-speed and energy efficient computing. We have developed the
first open source FPGA GZIP compressor, designed for educational and research
purposes, that can reach 1 Gbps compression speed using a 125 MHz clock. The
core uses only 10% of the Zynq-7020 SoC FPGA resources and is 5x faster than
the ARM CPU which runs at 667 MHz. We implemented an eight-node Hadoop
distributed cluster and performed the Wordcount and Terasort benchmarks
using software and hardware GZIP compression during the Map stage. Results
show an almost 2x more energy-efficient cluster when compression is done using
our GZIP FPGA core than using the software compression. The performance of
the Hadoop cluster is limited by the 512 MB of RAM and the low read-write speed
of the SD cards which act as hard drives for each node.
Keywords—GZIP, FPGA, Zynq, Hadoop, Distributed Computing
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 43
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
SIMULATION OF POWER FACTOR
CORRECTED AC-DC BOOST CONVERTER
Zeynep Bala Duranay and Hanifi Guldemir
Abstract—A double loop control method, one for voltage control and the other
for current control, for a power factor corrected ac-dc boost converter is studied
in this paper. A classical PI controller is used for the load voltage regulation due
to its slow dynamics with respect to fast changing current. A much faster
hysteresis band current controller is used for the current control which has ease
of physical implementation. The power factor corrected boost converter is
simulated under different load conditions. The obtained results are presented. A
good power factor is achieved.
Keywords—ac-dc convertor, boost convertor, power factor correction, unity power
factor
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 44
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
QUALITATIVE ANALYSIS OF THE TIME-
FREQUENCY IMAGES OF VIBRATIONS IN
FAULTY BEARINGS
Dorel Aiordachioaie and Sorin Pavel
Abstract—The paper considers time-frequency transforms of vibrating signal
in bearings with faults. The objective is the classification of faults based on time-
frequency image processing. Direct classification of such images does not provide
satisfactory results. The processing chain, from data acquisition to image
processing, is complex and needs a qualitative analysis, highlighting also the
importance of the right pre-processing. Two pre-processing steps are considered,
at the level of time and time-frequency planes. It reveals a source separation and
stationarity analysis, for the first pre-processing chain, and, for the second one,
the image scaling, and registration. Content analysis of time-frequency images
shows a variance of the content across the observation frame/window of the same
fault. It is concluding that images with high complexity, evaluated here with Renyi
entropy, must be excluded from the registration process of the images. Finally, an
alternative approach, for classification of the time-frequency images, feature
selection and extraction must be considered. Computer-based experiments
sustain the observation and the comments during such an analysis.
Keywords—signal, vibration, image, time-frequency transform, image
registration, detection, diagnosis
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 45
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
EXPERIMENTAL POWER SUPPLY
ASSESSMENT FOR USUAL IT APPLICATIONS
Adrian Tulbure, Calin Petrascu and Valentin Voiculescu
Abstract—Many researchers are investigating the architectural, hardware,
software and system level topologies of the computers, in order to reduce the
energy consumption [1], [2]. An analysis of the power consumption behavior of
main boards by running dedicated applications will provide relevant information
on how to design efficient IT-devices [3]. This contribution provides a high
sampling monitoring of power supply distribution between the PC motherboard
with 2Duo Core CPUs, 2660 MHz (Pmax.meas.CPU=45W) and the graphic board
of type GeForce 7300SE (Pmax.meas.GPU=11W).
The experiments are carried out on the same hardware structure (HP dc7800p
/ Windows 7P) by performing the same functions (text editing, file
zipping/unzipping, audio file running and video file running) but under two
different applications. In this work the authors describe both the system and the
measurement procedure used for each operation steps of the PC. The obtained
experimental results provide comparisons between the analyzed software
applications and lead to the final conclusions.
Keywords—computer, energy monitoring, computing performance, experimental
setup, IT applications
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 46
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Electronic circuits and equipments
DISMANTLING THE CONFUSION BETWEEN
THE EQUIVALENT CO2 AND CO2
CONCENTRATION LEVELS
Gaudentiu Varzaru, Adrian Zarnescu, Razvan Ungurelu and Mihai
Secere
Abstract—The paper presents the results of the simultaneous determinations
carried out on the same gaseous media, on the one hand with a sensor measuring
CO2 concentration, and on the other with a digital gas sensor which, based on
intelligent algorithms, processes the measurement data and offers them in
equivalent CO2 levels. The purpose of the paper is to demonstrate through
experimentation the erroneous idea to interchange the terms due to confusion.
Experiments were performed using as reference a dedicated instrument for
measuring carbon dioxide based on infrared absorbtion principle, Testo 535,
from Testo. The digital gas sensor was the ultra-low power digital gas sensor for
monitoring indoor air quality, CCS811, from AMS.
Keywords—carbon dioxide, CO2 equivalent, digital gas sensor, radiating forcing,
volatile organic compounds
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 47
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
INTELLIGENT ALARM SYSTEM FOR
HOSPITALS USING SMARTPHONE
TECHNOLOGY
Bashar Sami and Marwa Ismail
Abstract—During the last decade, attention was paid to detect the accident and
call the ambulance as soon as possible, the situation was neglected after the arrival
of the patient to the specified service point. This negligence led to an increase in
the mortality rate, especially where the highest percentage of deaths occur during
the first hour after the accident. This highest Mortality can be avoided by
providing proper health care after the arrival of the patient to the hospital, the
proposed system reduces the rescue time after the arrival of a patient to the
hospital, it requires each hospital to be endowed with a reception model
responsible for detecting and reporting accident situations to the emergency
service. In this paper, a combination of Android phone application, database, and
visual studio 2012 was used to develop the model.
Keywords—E-health:, Hospitals emergency:, smartphone:, wireless
communication:, PhpMyAdmin:, alarm system.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 48
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
A FRAMEWORK FOR FRAUD DETECTION IN
GOVERNMENT SUPPORTED NATIONAL
HEALTHCARE PROGRAMS
Irum Matloob and Shoab Khan
Abstract—Fraud, waste and abuse have created prominent cost overruns in
health care sector for the last few decades. There is a critical need of fraud
detection system to control and monitor health insurance claims specially in
developing countries. In Many developing countries , governments has initiated
various programs in which states take the responsibility to bear cost of medical
services consumed by under privileged class . The paper proposed a framework
for detecting fraudulent insurance claims by creating time series, traces of every
transaction to identify invalid procedures and claims. The proposed framework
is evaluated for different types of anomalies like age based anomaly, gender based,
service providing pattern based and service availing pattern-based anomalies, on
local hospital transactional data .The detection and monitoring of fraud is
necessary to increase the quality and efficiency of healthcare .
Keywords—time series, fraud detection, anomaly, procedure etc
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 49
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
SHRAVYA - A FRAMEWORK FOR
ENUNCIATION OF SANSKRIT WORDS AND
PHRASES
Eravatee Raje, Apoorva Maheshwari, Mihir Karkare and Shubham
Joshi
Abstract—Through this paper, we are proposing a framework for the
enunciation of Sanskrit shlokas and phrases. Sanskrit shlokas have been known
to have a cathartic effect on the mind and soul. But due to the richness of the
language and the lack of a large number of teachers, few are able to tap its
benefits. We propose a new method of sandhi splitting based on the shloka
characteristics and the utilization of the seq2seq model with attention for
generating shlokas.
Keywords—sanskrit, sandhi splitting, seq2seq, Tacotron TTS
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 50
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
A NOVEL SENTIMENT POLARITY AND
PREDICTION ENHANCED MACHINE
LEARNING METHOD TO IMPROVE
CUSTOMER RELATIONSHIP
Amit Kumar and Neetesh Gupta
Abstract—The micro-blogging and social network sites are considered as one of
the best source of information for the reason that people discuss and freely share
their sentiments about a certain subject freely. Posts are generally composed of
poorly structured, incomplete, and noisy sentences, irregular expressions,
nondictionary terms, and ill-formed words. The problem is some customers given
rating contrast with their comments. The other reviewers must read many
comments and comprehend the comments that are different from the rating.
Machine learning is about forecasting the future based on the past information.
Opinion Mining is the computational detailed investigation of people’s attitudes,
opinions, and emotions concerning of issues, events, topics or individuals. SVM is
a supervised machine learning procedure which can be applied for classification.
The proposed method provides automatically preprocessing of data and extract
words from a sentence using machine learning. The proposed algorithm used
improved Support Vector Machine method for better opinion mining and
accurate prediction. The proposed method resolved semantic analysis and opinion
mining problems to solve different sentiment polarity. The experimental outcome
demonstrate that system is well suitable for opinion polarity and prediction.
Keywords—Sentiment analysis, Opinion mining, Machine learning, Social
Media, Sentiment Polarity
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 51
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
INTELLIGENT MONITORING OF VITAL
PARAMETERS IN WIRELESS APPLICATIONS:
ANDROID SOLUTION FOR PULSE AND BODY
TEMPERATURE
Radu Rădescu and Rareș Niculescu
Abstract—In this paper we have set up a system to monitor certain vital
parameters such as pulse and body temperature. The application thus developed
displays the recorded values and measured sensor data is transmitted through
wireless technologies to a mobile computing unit. The application uses a variety
of IT systems, both hardware and software. In the first part of the paper is
presented the current study of wireless communications. The standard used in the
paper is 802.11 (via Wi-Fi). A study on the use of databases using MySQL is also
presented. The Raspberry Pi 3 Model B, as a local server, is used to store the data
(registered parameters of the sensors). The last part of the paper describes how
to send data to an application developed for Android. An intelligent system has
been implemented at the application level to allow detection of certain
irregularities. These observations are made by analyzing recorded parameters.
All information is displayed in a graphical interface. As this application has as
main purpose the realization of a complex system that combines various
methodologies and solutions, a comparative study of the different current
technologies has been carried out in order to highlight the performances and the
possibilities for improvement.
Keywords—vital signs, wireless communications, sensors network, intelligent
monitoring, Internet of Things, embedded systems, medical application, database,
Android platform, Arduino
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 52
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
AUTOMATIC ANALYSIS OF POTENTIAL
HAZARD EVENTS USING UNMANNED
AERIAL VEHICLES
Radu Rădescu and Mihaela Dragu
Abstract—This paper is motivated by the possibility of developing a wide
variety of applications and domains in which Unmanned Aerial Vehicles (UAVs)
can be used globally for various purposes. UAVs are currently used by public
administrations and security forces such as police, fire brigades, civil protection,
research institutions, construction, and agriculture entities. The purpose of this
paper is to facilitate the handling of UAVs to retrieve various data from the
environment. The drone (UAV) visits some points to collect data (image and/or
video input) from sensors like GPS, camera, gyroscope, and accelerometer. GPS
sensor coordinates are used to compare the data taken with subsequent results
through processing with specialized software. The drone is used as an access gate
with built-in sensors. Certain hazard events (fires, floods, avalanches, landslides)
are not limited to narrow geographical areas, but can impact the environment by
triggering negative chain events. 3D modeling offers a wide range of possibilities
to prevent potential hazard events, or, if such an event has occurred, makes it
possible to monitor the affected area and assess the damage by comparing the
area in the pre-event configuration with the after-event one. After image
processing and data acquisition, a report is generated that includes the map and
the 3D model of the analyzed object. A hazard is an agent that has the potential
to cause damage to a particular target. Terms such as risk or danger can be used
in similar contexts. TensorFlow is an open source software library in high-
performance computing. Flexible architecture allows easy deployment of
computing on a variety of platforms (CPU, GPU, TPU), from desktop to server or
mobile devices. We used the learning transfer: at first we used a model that was
already prepared for another problem, and then we re-qualified it on a similar
problem. Deep learning from scratch can take several days, but learning transfer
can be done shortly. We applied Python along with TensorFlow to train an image
classifier and classify images with it. We formed a consistent set of training
pictures, using three labels: fire, flood (detectable hazards) and nature (non-
hazard images). We then re-qualified an efficient, small-sized neural network by
(re)training the image set in order to get the best results in the hazards prediction
selection process with a progressive higher accuracy as (re) training evolves at
optimal rating. With Python and OpenCV technologies, we used four decision
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 53
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
algorithms to generate prediction of hazard: Support Vector Machine, Naive
Bayes, Logistic Regression, and Decision Tree Classifier. Each generated report
includes precision, recall, f1-score, and support indices, depending on the class
and intervals used. We also used the confusion matrix as an alternative method to
evaluate the classification accuracy. Analyzing the 4 algorithms we noticed that
they behave differently. Training using TensorFlow generated better results than
the other methods. For the main classes tested hazard is recognized up to 99%.
Keywords—UAV (Unmanned Aerial Vehicles), hazard control, classifiers,
decision, prediction
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 54
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
PATCH SELECTION DENOISER: AN
EFFECTIVE APPROACH DEFENDING
AGAINST ONE-PIXEL ATTACKS
Dong Chen, Ruqiao Xu and Bo Han
Abstract—A one-pixel attack applies maliciously crafted and imperceptible
perturbations on just one pixel or a few pixels in an image and can mislead a target
deep learning classification model. Defending against this type of attack is a
relatively unexplored development in adversarial defence. In this paper, we
propose a Patch Selection Denoiser (PSD) approach that removes the few
potential attacking pixels in local patches without changing many pixels in a whole
image. Without clean training data, it can firstly add random impulse noises to a
few images to produce huge amounts of noisy images as inputs and targets in a
deep residual network. Next, we can obtain a denoising model based on the
Noise2Noise framework. Finally, we design a patch selection algorithm to scan a
denoised image in a patch window and compare it with the corresponding part on
the test image. Only the patch whose number of pixels with significant absolute
difference exceeds a threshold will be detected as the local part containing
potential attacking pixels. Thus, this patch will be replaced by the part in the
denoised image. Evaluating our approach on a public image dataset CIFAR-10
demonstrates that it can successfully defend against one-, three-, five-pixel and
JSMA attacks 98.6%, 98.0%, 97.8% and 98.9% of the time, respectively.
Meanwhile, it brings almost no side effects on clean images not subject to one-
pixel attacks. The state-of-the-art high defence accuracy proves the effectiveness
of our approach.
Keywords—computer vision, neural network, one-pixel attack, adversarial
example, defence, Noise2Noise
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 55
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
AGENT APPLICATIONS IN E-LEARNING
SYSTEMS AND CURRENT DEVELOPMENT
AND CHALLENGES OF ADAPTIVE E-
LEARNING SYSTEMS
Hiba A. Abu-Alsaad
Abstract—This research paper aims at closely reviewing what are the various
applications in e-learning systems. In order to achieve this, it must first define e-
learning systems, look at the various components, approaches, and examples of e-
learning systems. This paper is divided into two parts; section II and section III.
In the first part, the paper tackles the various agent applications in e-learning
systems. While In the second section, the research paper looks at the current
development, or evolution, of adaptive e-learning systems and the challenges this
system faces. In the second section, a review of different forms of adaptive e-
learning systems have been made and comparisons made between them.
Keywords—Adaptive learning, e-learning, Conversational systems, Pedagogical
companions, intelligent tutoring systems
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 56
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
MINING DATA FOR HUMAN RESOURCES
Andreea Nedelcu, Bogdan Nedelcu, Alexandru Ioan Sgarciu and
Valentin Sgarciu
Abstract—The article shows the complexity of the human resource field,
offering an insight on the issues that many decision makers are facing, in a world
where any software solution designed to offer value, is no longer viable without
big data capabilities. This paper’s main objective is to prove the importance of
mining human resource data by proving its accuracy. Furthermore, such a way
of mining big data can be a starting point for more intelligent systems that could
offer decision makers valuable real-time information. The study shows an
objective view on how accurate the public available web search data is and how it
can be mined for achieving valuable information for HR
Keywords—data mining, human resources, search engines, Google, Google
Trends
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 57
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
ACCELERATING BALANCE SHEET
ADJUSTMENT PROCESS IN COMMERCIAL
LOAN APPLICATIONS WITH MACHINE
LEARNING METHODS
İbrahim Tozlu, Şule Gündüz Öğüdücü, Atılberk Çelebi, Sacide Kalaycı
and Seçil Arslan
Abstract—Financial analysts perform balance sheet adjustment that includes
reductions, additions or movements of balances in accounts before applicants'
credibility scores are calculated in the assessment of commercial loan
applications. The analysts usually go through financial documents manually and
it causes waste of time and labor for financial institutions. This paper presented a
solution model that detects balance sheet items to be adjusted in order to reduce
costs and accelerate the balance sheet adjustment process by helping financial
analysts. Machine learning algorithms are the key elements for the solution
model. Besides, a new feature set that can detect balance sheet items to be adjusted
is proposed to be used for machine learning models. The proposed solution model
and feature set were tested with experiments. The results show that Stacked
Generalization model, Random Forest as meta-learner and LGBM, XGBoost and
CatBoost as base learners, is the top performer model with the new feature set.
The dataset used in experiments is obtained from one of the largest banks of
Turkey.
Keywords—balance sheet adjustment, multi-label classification, commercial loan
applications, expert systems, machine learning
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 58
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
BUILDING END-TO-END TASK-ORIENTED
DIALOGUE SYSTEMS VIA CNNS AND
ATTENTION MECHANISMS
Meina Song, Zhongfu Chen, Peiqing Niu and Haihong E
Abstract—We put forward a general solution towards building task-oriented
dialogue systems via convolutional neural networks (CNNs) and Attention
Mechanisms. The dominant task-oriented dialogue models follow pipeline design
and usually rely on complex recurrent neural networks(RNNs). In that case, its
structure is complicated and the amount of parameters exceeds on million. In this
paper, we propose a novel end-to-end task-oriented dialogue system with a clear
structure, just based on CNNs and attention mechanisms, totally dispensing with
recurrent neural networks (RNNs). Our model is based entirely on sequence-to-
sequence (seq2seq) architecture and realizes the true meaning of end-to-end.
Experimental results indicate that our model outperforms the state-of-the-art
approaches on CamRest676 and KVRET datasets in two evaluation indexes,
namely, task completion and quality of language generation. Meanwhile, the
training speed of our model is increased by 3-10 times and the amount of
parameters is just 1/3.
Keywords—Dialogue System, End-to-End, CNN, Attention Mechanism
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 59
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
USABILITY EVALUATION OF IPHONE BUILT-
IN APPLICATIONS
Saja Al-Dabet and Shaidah Jusoh
Abstract—The key factor for any successful smartphone is the efficient design
of its applications. Usability is the main aim in any product including smartphone
applications. If the applications are highly usable, this will lead to satisfying the
majority of users, and consequently will gain their loyalty; an important aspect in
any businesses. Nowadays, smartphones had become the most used devices, as
they come with a number of useful applications. Among smartphone family
members, iPhone is one of the most popular. iPhone has a huge number of loyal
users. Each iPhone comes with a set of built-in applications, such as Calendar,
Contacts, iBooks, Maps, Notes, Messages, Voice Reader and so on. The aim of this
study is to evaluate the usability of a set of iPhone built-in applications. In this
study, we have investigated five applications namely Maps, Notes, Messages,
Voice Recorder, and iBooks. Experiments have been conducted on human
subjects by completing several tasks. Time for completing the task is assessed.
Observation and questionnaire survey data collection methods were used.
Associated design problems such as visibility, feedback, reliability are discovered.
The findings suggest that interfaces design of some functionalities in the named
applications require improvements.
Keywords—Usability, iPhone, built-in applications
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 60
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
SHIELD: AN INTELLIGENT AND
AFFORDABLE SOLUTION FOR HOME
SECURITY
Aimen Shahid, Mahroo Ali, Mariam Eijaz, Dr.Sidra Minhas and
Nosheen Sabahat
Abstract—Reliable home security is vital for progression of our societies.
Traditional methods to protect house premises against intruders include security
guards and CCTV cameras which is labor intensive, expensive and unreliable. In
this paper, we propose a wireless, intelligent, affordable and portable IoT based
home security system. The input unit consisting of multiple sensors is placed at
the entry points of the house. The SONAR, motion and sound sensor capture the
situation at entry points. The sensor data is collected and wirelessly transmitted
by NodeMCU to the Raspberry Pi server via an online database. The server uses
logistic regression classification algorithm to detect human presence at the gate.
Once intruder is detected, alerts are generated to the user and camera mounted
on the input unit is turned on to take pictures. Facial recognition unit is also
incorporated to detect known versus unknown faces. The information of
intrusion including image and timestamp are send to the Shield’s mobile
application.
Keywords—IoT, Classification, Logistic Regression, NodeMCU, Raspberry Pi,
Sonar Sensor, PIR motion Sensor
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 61
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
PROPAGATION MODELS APPROACH FOR
HUMAN SPECIFIC ABSORPTION RATE
STUDY
Loubna El Amrani, Tomader Mazri and Nabil Hmina
Abstract—We are exposed to several sources of radiation that are harmful. The
absorbed dose is calculated by different methods. We apply the one that based on
the electric field, the conductivity of human tissues and its density. Ibn Tofail
University is surrounded by several base stations; the objective of our paper is to
estimate the SAR at our university by applying four models of propagation to
calculate the received electrical field.
Keywords—SAR, electrical field, free space, two rays model, Hata Okumura
model, Hata-Okumura-Teodorescu model
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 62
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
KERATOCONUS DETECTION ALGORITHM
USING CONVOLUTIONAL NEURAL
NETWORKS: CHALLENGES
Alexandru Lavric, Valentin Popa, Cristina David and Cristian Costel
Paval
Abstract—Over the last few years, we are witnessing a development of image
processing algorithms, which, alongside neuronal networks and Artificial
Intelligence (A.I.) allowed their application in various medical fields. There is a
great potential in having a safer, faster diagnosis, which oftentimes means saving
more lives. The development of new mechanisms tailored to diagnosing
keratoconus which make use of the latest machine vision technologies of a
machine vision type as well as neuronal networks is of utmost necessity. The main
contribution of this scientific paper lies in its analysis and study dealing with the
importance of using neural networks within the field of ophthalmology, as well as
in the representation of the neuronal algorithm when it comes to the detection of
keratoconus. The detection algorithm needs to help the ophthalmologist by
facilitating the correct diagnosis of early keratoconus, thus helping with the
effective long-term management of keratoconus.
Keywords—Keratoconus, neural networks, ophthalmology medical algorithm
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 63
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
NONLINEARITY DEGREE FOR CPP, 4-PP, AND
5-PP INTERLEAVERS FOR TURBO CODES
Lucian Trifina, Daniela Tarniceriu and Ana-Mirela Rotopanescu
Abstract—Permutation polynomial (PP) interleavers for turbo codes can be
efficiently designed if properly simple metrics are used. One of these metrics is
the nonlinearity degree. For quadratic PP interleavers the nonlinearity degree can
be computed with a simple formula depending on the interleaver length and on
the coefficient of the second degree term. In this paper we propose three
algorithms to efficiently compute the nonlinearity degree of the PP interleavers of
degrees 3, 4, and 5. Lower bounds on the nonlinearity degree of the PP
interleavers of the three degrees are achieved. The nonlinearity degree computing
times with the proposed algorithms are much smaller compared to those using the
direct method. The proposed algorithms are usefull in founding good higher
degree PP interleavers.
Keywords—nonlinearity degree, permutation polynomials, interleavers, turbo
codes
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 64
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
PROFESSIONAL TRAINING OF STAFF FROM
ORGANIZATIONS THROUGH THE GROW
METHOD
Delia Duminica
Abstract—The aim of this study is to reveal the consequences, both positive and
negative, of applying the GROW method for professional training of staff from
Generali Company of Insurance. The human resource is one of the most
important resources for organizations, regardless of the type of activity, which
provides the organizations with the source of performance, profitability and
market positioning. This the reason why companies must invest all kind of
resources (time, money, specialists) into staff training. From all professional
training of staff methods, we have chosen the GROW method, a well-known
process for goal setting and problem solving. The conclusions of this study show
that the GROW method is efficient if properly applied. However, for the efficiency
of the method, the manager's working method, the way of application, the need to
adapt to the person with whom he works are very well understood. Of course, the
manager's experience influences the effectiveness of the method.
Keywords—organization, training, coach, performance, employee
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 65
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
HUMAN AND ARTIFICIAL INTELLIGENCE:
THE PARTNERSHIP THAT IMPARTS HOPE
Aurel Mihail Titu and Alexandru Stanciu
Abstract—In an era of digital transformation and disruption through artificial
intelligence and machine learning, humanity still faces lack of safety, common
threats being generated by human error and misconduct on daily basis. This
paper outlines the impact of artificial intelligence in today’s society, raises
awareness on how humans may mitigate risks and create a more sustainable and
reliable environment for the future. It exposes and proves how modern technology
breakthroughs can unlock opportunities which will alter the face of the earth and
help regain faith in humanity.
Keywords—humanity, safety, artificial intelligence, sustainability, machine
learning
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 66
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
MAXIMUM POWER POINT TRACKING
TECHNIQUES AND SUN TRACKING
TECHNIQUE IN SOLAR ARRAY SYSTEM
Saloua Marhraoui, Ahmed Abbou, Zineb Cabrane, Abdellah Ziouh and
Mustapha Jamma
Abstract—In our work, we used two methods to obtain the maximum and
efficient energy of photovoltaic panel (PV). The first one consisted of determining
the maximum power point tracking MPPT, along with comparing the
performances and robustness of both controllers: perturbed and observer
controller (P&O) and fuzzy logic controller (FLC), so that we could choose the
best controller. The second method considered an algorithm tracking of the sun’s
ray via horizontal axe of PV primordial to keep the angle of incidence in good
position. Since the angle of incidence is an important parameter to get a good
panel efficiency. The PV system has been analyzed and simulated on
Matlab/Simulink.
Keywords—Photovoltaic Panel, Fuzzy logic, P&O, Angle of incidence, DC/DC
boost
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 67
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
CONSTRUCTING KEYWORD PROPAGATION
MAP OF FACEBOOK PAGES.
Soraya Chalard and Sukree Sinthupinyo
Abstract—Social network visualization has been extensively studied in research
in diffusion of information. This paper focuses on extracting propagated
Facebook posts from keywords created by users and visualizing important
information diffusion path in social network graph. Furthermore, some
interesting propagation patterns of user behavior in online social network were
discovered. Our research contributions could be summarized as follow: 1) a novel
method was proposed to determine the keyword occurrence in online social
network, 2) this research constructed the map of keyword propagation and
visualized the propagation patterns among different groups of people and 3) a
case study of social phenomena was shown. In sum, our work eventually could be
applied to improve the performance of tracking keyword spread in social media
and would be beneficial for greater understanding about user behavior.
Keywords—social network visualization, keyword propagation, keywords map
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 68
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
ELECTRONIC SYSTEM FOR ASSESSING AND
ANALYSING DIGITAL COMPETENCES IN
THE CONTEXT OF KNOWLEDGE SOCIETY
Doina Banciu, Ionut Petre and Mihail Dumitrache
Abstract—The digital competencies of users, in general, and of public
administration personnel, in particular, must allow the people access to graphical
interfaces and applications, including databases. The use of digital competences
is not simply about the emergence and use of computer tools to a certain level but
also to develop new digital skills to face the challenges of data quality,
responsibility, confidence in information received, the privacy of the user and the
safety of its data.
The study tool in this paper is managed and applied on-line, and the collection
and centralization of data is done automatically, also ensuring information
security.
The basic method used in this paper is the model based on the questionnaire.
Keywords—digital competences, assessing skills, electronic system, collecting data
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 69
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
PROTON-EXCHANGE MEMBRANE FUEL
CELLS: THE RENEWABLE ENERGY ERA
Alexandru Lavric, Maria Simona Raboaca, Constantin Filote and Ana
Maria Nasture
Abstract—Fuel cells are electrochemical devices which have the ability of
transforming the chemical energy of a fuel into electricity. These cells are
considered a viable source when it comes to alternative energy sources. Over the
last few years, green and renewable energy has been a highly discussed, actuality
topic. The main contribution of this paper consists in the analysis and evaluation
of proton-exchange membrane fuel cells in the current context of the renewable
energy era. Moreover, the performance level of a PEM is evaluated by using an
ARBIN FCTS Fuel Cell System type of architecture. From the obtained results,
one can see that the tested architecture warrants a high level of performance.
From the gathered results one can observe that the stack reaches its maximum
performance level at an operating temperature of 65 °C. The power obtained at
65 °C temperature is of approximately 2145 W.
Keywords—Proton-Exchange Membrane Fuel Cells, Renewable Energy,
PEMFC, Arbin FCTS
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 70
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
E-session
MEDIA LITERACY IN A CHANGING PROCESS IN TURKEY
Olga Untila Kaplan
Abstract—This study intends to understand and explain adaptation education
to media in changing process in Turkey which is uttered with “media literacy”
concept. The historical development of media literacy, is approached three
different periods, determines the main parts of our study. It is possible to
introduce the historical transformation of the past to the present media literacy
education in Turkey with the evaluation of these concepts which emerged in
"Traditional Media Literacy", "Digital Media Literacy" and "Post-Digital Media
Literacy" periods. The changing media process in each of these time segments
and the changing media literacy equality is the only unknown to how to approach
the media. Media literacy education, researched at different times, answers this
question. With the help of descriptive and source scanning research methods used
in the study, as well as to setting forth the paradigm of Turkey's media literacy,
“changing user” which is unique to the periods mentioned above, draws the
profile of the media literate.
Keywords—Media Literacy in Turkey; Traditional Media Literacy; Digital Media
Literacy; Post-Digital Media Literacy; Changing User
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 71
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
HYBRID MODELLING BASED ON SUPPORT
VECTOR REGRESSION WITH GENETIC
ALGORITHMS FOR INTELLIGENT WI-FI-
BASED INDOOR LOCALIZATION SYSTEM
Hamdi Al-Jamimi and Anas Al-Roubaiey
Abstract—Due to the growth of the ubiquitous positioning-based services, the
development of indoor positioning systems has attracted the researches intensely.
WiFi is one of the technologies introduced to support the indoor positioning
services. The WiFi signal strengths directed from advice in an indoor environment
is used to predict the location of the device or the user handling the device. The
prediction of the user location can be considered as a classification problem where
the model can predict the location of the user according to pre-defined zones.
Machine learning (ML) techniques have been applied widely in the literature to
develop indoor positioning systems. However, these applications suffer from poor
generalization ability and/or high computational complexity. This paper,
proposes an indoor positioning system based on a hybrid ML model that uses
support vector machine as a classifier tool. To improve predictive capability of
the model, SVM’s parameters are optimized using genetic algorithms. The
proposed model demonstrates promising results in terms of significant correlation
(R2=0.99) and high classification accuracy rate (ACC= %98.3).
Keywords—indoor localization system, WiFi signal strength, support vector
machine, genetic algorithms
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 72
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
L0 REGULARIZATION BASED FINE-GRAINED
NEURAL NETWORK PRUNING METHOD
Qixin Xie, Chao Li, Boyu Diao, Zhulin An and Yongjun Xu
Abstract—Deep neural networks have achieved remarkable achievements in
many tasks. However, we are not able to deploy such successful but heavy models
on mobile devices directly due to the limited power and computing capacity. Thus,
an obvious solution to tackle this problem is to compress neural network by
pruning useless weights in neural networks. The point is how to remove these
redundancies while maintain the performance of neural networks. In this work,
we propose a novel neural network pruning method: guiding the weights of a
neural network to be sparse by introducing L0 regularization during the training
stage of neural network, which on the one hand, can effectively resist the damage
on the performance while pruning, on the other hand, the time overhead of re-
training stage can be reduced dramatically. Experiment results on MNIST and
CIFAR-10 demonstrate the effectiveness of this method to the classic method.
Keywords—L0 Regularization, Neural Network Compression, Deep Learning
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 73
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
DRONE, AIRCRAFT AND BIRD
IDENTIFICATION IN VIDEO IMAGES USING
OBJECT TRACKING AND RESIDUAL NEURAL
NETWORKS
Armando Fernandes, Márcia Baptista, Luis Fernandes and Paulo
Chaves
Abstract—As maritime smuggling is being combatted more effectively, the
criminal “modus operandi” consists more frequently of using small aircraft and
drones for drug transport. To address this issue, we report our efforts to develop
a system capable of accurately tracking suspicious flying objects and identifying
them on video streams. Our solution consists in coupling classical computer vision
with deep learning to perform tracking and object detection. A discrete Kalman
filter is used to predict the location of each object being tracked while the
Hungarian algorithm is used to match objects between successive frames.
Whenever a potential target is considered suspicious the input images are zoomed
and fed into a deep learning pipeline that separates images into the classes
aircraft, drones, birds or clouds. A literature survey indicates that this problem
with important applications is yet to be fully explored.
Keywords—, Object Tracking and Detection, Deep learning, Convolutional
Neural Networks, Residual Networks
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 74
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
OBJECT DETECTION IN AUTONOMOUS
DRIVING - FROM LARGE TO SMALL
DATASETS
David-Traian Iancu, Alexandru Sorici and Adina Magda Florea
Abstract—The purpose of the paper is to analyze the current capacity of
pedestrian and vehicle detection through four state of the art detectors -Yolo,
SSD, Faster R-CNN and RetinaNet on a big dataset (BDD100K). Also, we
analyzed if the results are transferable from one dataset to another - we used a
small dataset from our campus, we offered some quantitative results and we made
an error analysis based on the dataset characteristics (e.g. weather, light, size of
the object).
Keywords—autonomous driving, machine learning, artificial intelligence, object
detection, Yolo, Faster R-CNN, SSD, RetinaNet, BDD100K
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 75
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
JAPANESE CHARACTER RECOGNITION
WITH MICROSTRIP LINE NETWORKS
Marian Novac, Bogdan Marian Bodea, Petre Anghelescu, Bogdan
Mihai Gavriloaia, Octavian Fratu and Mariuca Gavriloaia
Abstract—Character recognition, a topical field seen from the large number of
practical applications, allows the generation of characters in electronic media
from printed documents or images. The Japanese language is one of the most
difficult language because of the very large number of characters or classes of
objects to be identified, and many recognition systems have been proposed. A new
way of recognizing Japanese printed characters is presented in this paper. The
proposed method is based on the modeling with microstrip lines of the character
topological structure and the analysis using microwave engineering methods. The
spectral distribution of the resonance frequencies is used as a local descriptor in
the recognition process. A deep convolutional recurrent network is used for the
classification step. The proposed method ensures good accuracy in the Japanese
character recognition process using the lowest number of descriptors among the
methods described in the literature. The character recognition method has been
tested by analyzing the first ten resonant frequencies of the five Japanese vowels,
and 99.9% character recognition has been provided for 20% dispersion of the
microstrip line segment lengths.
Keywords—character recognition, Japanese vowels, resonant frequency,
microstrip line, neural network
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 76
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
DREAM PRINCIPLES AND FAIR METRICS
FROM THE PORTAL-DOORS PROJECT FOR
THE SEMANTIC WEB
Adam Craig, Adarsh Ambati, Shiladitya Dutta, Pooja Kowshik, Sathvik
Nori, S. Koby Taswell, Qiyuan Wu and Carl Taswell
Abstract—Articles published in Scientific Data by Wilkinson et al. argued for
the adoption of the Findable, Accessible, Interoperable, and Reusable (FAIR)
principles of data management without citing any of the prior work published by
Taswell. However, these principles were first proposed and described by Taswell
in 2006 as the foundation for work on the PORTAL-DOORS Project (PDP) and
the Nexus-PORTAL-DOORS-Scribe (NPDS) cyberinfrastructure, and have been
published in numerous conference presentations, journal articles, and patents.
This work on PDP and NPDS has been continuously available since 2007 from a
publicly accessible web site at www.portaldoors.org, and discussed in person at
conferences with several key authors of the Wilkinson et al. papers. Paraphrasing
without citing the PDP and NPDS principles while renaming them as the FAIR
principles raises questions about both the 'FAIRness' and the fairness of the
authors of the Wilkinson et al. papers. Promoting these principles with the use of
the term 'metrics', which are not metrics by definition of the term metric as used
in most fields of science, also raises questions about their commitment to
maintaining consistency of usage for basic terminology across different fields of
science as should be expected for terms in ontology mapping with knowledge
engineering for the semantic web. Therefore, in the present report, we clarify the
origin of their FAIR principles by identifying our PDP and NPDS principles that
constitute the historical precedent for their FAIR principles. Moreover, as the
comprehensively summarizing phrase for all of our PDP and NPDS principles, we
rename them the DREAM principles with the acronym DREAM for Discoverable
Data with Reproducible Results for Equivalent Entities with Accessible Attributes
and Manageable Metadata. Finally, we define numerically valid quantitative
FAIR metrics to monitor and measure the DREAM principles from the
perspective of the most important principle, ie, the Fair Acknowledgment of
Information Records and Fair Attribution to Indexed Reports, for maintaining
fair standards of citation in scholarly research and publishing.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 77
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
Keywords—data stewardship, metadata management, NPDS cyberinfrastructure,
DREAM principles, FAIR metrics
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 78
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
ARTIFICIAL LOCUST SWARM ROUTING
ALGORITHM: DECISION MAKING IN PATH
SEARCH PROBLEM
Vladyslav Alieksieiev and Andrii Berko
Abstract—The good known problems and solutions nowadays require to
implement some new approaches due to changing circumstances. The primary
factor of these changes is a drastic growth of data volume and transition from
simple data processing models and algorithms to big data ones. According to a
limited computing resources (memory, CPU load, time boundaries etc.) there is a
need arises to follow required limits but still solve problems involving some larger
amount of data. This paper considers the problem of a path search on a graph
(also known as a problem of routing on a network) with respect to a large amount
of vertices and edges. Difficulty of the problem lies in both many thousands of
data entries describing graph topology and necessity to satisfy reasonable time
boundaries to perform the whole search on-the-fly. Such complexity requires
developing a new and more efficient approaches in decision making during path
search to avoid combinatorial explosion (burst) within known approaches to path
search. The artificial locust swarm routing algorithm with special assessment
procedures was offered as a solution that enables less time and memory
consuming approach. Case study analysis was performed with navigation data of
airways network.
Keywords—path search, decision making, assessment procedure, artificial locust
swarm, routing, metaheuristic approach
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 79
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
CAR PARK OCCUPANCY RATES
FORECASTING BASED ON CLUSTER
ANALYSIS AND KNN IN SMART CITIES
Maria Viorela Muntean
Abstract—In car park occupancy problem, large amounts of data are collected
from sensors and stored in databases. In order to discover useful information
from such data, data mining techniques are applied. In this paper we propose to
find alternative solutions for Birmingham car park occupancy issue. Our
approach consist in clustering first the dataset in order to obtain relevant periods
of time within a day and then forecast data within these clusters. Our experiments
show that splitting data into six clusters and predict car park occupancy with k-
Nearest Neighbor technique lead to the highest forecast rates.
Keywords—forecasting, kNN, clustering, k-means, smart city
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 80
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
FAST AUTOMATIC EXPOSURE ADJUSTMENT
METHOD FOR IRIS RECOGNITION SYSTEM
Vitaly Gnatyuk, Sergey Zavalishin, Xenya Petrova, Gleb Odinokikh,
Alexey Fartukov, Alexey Danilevich, Vladimir Eremeev, Juwoan Yoo,
Kwanghyun Lee, Heejun Lee and Daekyu Shin
Abstract—In this paper, we propose a novel algorithm for automatic camera
parameter adjustment, which is exploited for getting the correct image exposure
required for iris recognition. We use two-step processing, where the first step
adjusts the camera parameters on the basis of a single shot, and the second step
applies precise iterative adjustment. In order to get the correct iris exposure, we
use a weighted mask, which is constructed offline using a set of face images. In
contrast to the existing algorithms, our method does not need to be calibrated for
a particular camera sensor. We show that the proposed method significantly
decreases false rejection rate caused by incorrect image exposure and reduces
recognition time.
Keywords—iris recognition, auto exposure, computer vision
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 81
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Expert systems & Artificial Intelligence
UNCONVENTIONAL PUBLIC TRANSPORT
ANONYMOUS DATA COLLECTION
EMPLOYING ARTIFICIAL INTELLIGENCE
Marius Minea, Catalin Dumitrescu and Ionuț Cosmin Chiva
Abstract—This paper presents results of a research concerning the possibility
of collecting anonymous data regarding public transport level of service,
employing wireless technologies (Bluetooth and WiFi), big data and statistical
filtering. Machine learning algorithms are used to detect, locate, create a map and
record presence of travelers in public transport vehicles and stations, along with
regular traffic data. The solution could also serve as back-up system for locating
vehicles on their path.
Keywords—Bluetooth, anonymous data collection, machine learning, filtering
algorithms, Delaunay trilateration
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 82
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
DEPLOYMENT AND COVERAGE IN
WIRELESS SENSOR NETWORK: A
PERSPECTIVE
Pradeep Kumar Singh, Yashwant Singh, Jahangir Ahmad Lone,
Zdzislaw Polkowski, Sudeep Tanwar and Sudhanshu Tyagi
Abstract—Wireless sensor network is emerging field in research, due to its
applications almost in every field. Mostly WSN are used to sense a specific area
or region which is used to monitor the chemical and biological changes within a
region. The main component of a wireless sensor network is a sensor node, which
collects information and transmits it to the receiving station for further
processing. Further, how to deploy these sensors in a network so that it will cover
maximum area. For efficient deployment in a network different strategies are
used for node deployment. After, deployment of nodes the question is whether
they collect all the information in that region, it depends upon the coverage or
how well a node senses a given region.
In this paper, a brief description of deployment and coverage in WSN is
presented. The various optimization algorithms used in deployment of WSN is
also described. A comparison of various deployment methods based on their
performance and area in which they are deployed is illustrated. Further, the
various coverage methods are also compared on the basis of their efficiency and
connectivity.
Keywords—Wireless Sensor Networks, Computer Networks, Network Coverage,
Node Deployment
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 83
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
MACHINE LEARNING-BASED SOFTWARE
EFFORT ESTIMATION : AN ANALYSIS
Pradeep Kumar Singh, Zdzislaw Polkowski, Jayneel Vora, Sudeep
Tanwar, Sudhanshu Tyagi and Yashwant Singh
Abstract—Estimating the effort behind a software project is the approximation
time and resources an engineer need to create a software application. The
estimation is one of the most important phase in the developing process to set the
cost of project and ultimately to attract the client. In the preliminary stage of a
project, the accuracy of estimation is to be extremely precise and dependable,
which may not be easy to achieve. Therefore, use of machine learning algorithms
is a possible solution for the estimation process on which the decision can be made.
In this study, we have analyzed various studies and machine learning trends
conducted in this field. Doing this effective reductions in the cost and parameter
for the project to be accomplished. Accuracy, root mean and relative absolute
errors are used to compute the effort estimation accuracy.
Keywords—Effort estimation, Software engineering, Machine learning, Attribute
selection
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 84
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
PERFORMANCE OF VARIOUS ALGORITHMS
TO REDUCE THE NUMBER OF
TRANSMITTED PACKETS BY SENSOR NODES
IN WIRELESS SENSOR NETWORK
Muhammed Ihsan Husni, Nayef Alduais, Ion Marghescu, Mohammed
Hussein and Jiwa Abdullah
Abstract—Energy consumption is an important issue in the Wireless sensor
network (WSN). Reducing the number of transmission packet messages for sensor
nodes is the most common solutions to save the node battery. Therefore, the main
contribution of this paper is to study the performances of different algorithms
that can reduce the number of data packets transmitted by sensor nodes within
the WSN. The selected algorithms for the reduction algorithm in the
transmissions include Move Average algorithm (MA), Autoregressive all-pole
model parameters — Burg’s algorithm. (AR-B), Autoregressive all-pole model
parameters — Yule-Walker algorithm (AR-YW) and an Efficient Data Collection
and Dissemination Algorithm (EDCD1). The performance comparison shows that
the on the basis of reduction in the data packet transmissions from the source to
the sink EDCD1 algorithm shows the maximum reduction of 92% while a
minimum reduction of 23% is shown in case of MA and the reduction of AR-B
and AR-YW are 58% and 56, respectively. Moreover, in term of overall
performance for a reduction in a number of data transmissions reduction EDCD1
algorithm shows the highest ratios. Additionally, in terms of absolute error in the
data at the sink, the EDCD1 algorithm shows the best performance with a less
average error at 2.2803 for all sensors compared to others algorithms.
Keywords—WSN, Energy consumption, Reducing the number of the transmission
packet
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 85
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
A NEURAL NARX APPROACH FOR
EXCHANGE RATE FORECASTING
Thitimanan Damrongsakmethee and Victor-Emil Neagoe
Abstract—This paper presents a Nonlinear Autoregressive Exogenous (NARX)
model using feed-forward neural network learning to forecast the exchange rate.
We have evaluated the model performances by considering the exchange rate of
the Thai baht per US dollar using the historical data from the Bank of Thailand
for 10 years, from 2009 to 2018. We have used the following forecasting evaluation
indices: Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE)
and correlation coefficient (R). We have considered the following financial inputs
for the neural system that predicts the current exchange rate: gross domestic
product rate (GDP), interest rate, inflation rate, balance account, trade balance
and a finite set of previous exchange rates. The best result showed that the NARX
neural network technique leads to a MAPE of 3.001% and a MSE of 0.006.
Therefore, we can conclude that the considered predictive model using the NARX
neural network technique can be used to accurately forecast the exchange rate.
Keywords—Exchange rate forecasting, Artificial Neural Networks, Nonlinear
Autoregressive Exogenous (NARX) model
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 86
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
THE USE OF THE CLONAL SELECTION
ALGORITHM FOR NQR SIGNAL DETECTION
OPTIMIZATION
Vasile-Gabriel Iana, Cristian Monea and Mihai Oproescu
Abstract—Nuclear quadrupole resonance represents a method that provides
good results in the detection of explosives substances, narcotics or drugs. It
ensures multiple and selective detection with very a high identification accuracy.
The phenomenon is well known, but the response signal is very weak and covered
by noise, thus requiring algorithms with very good prediction probability. The
devices based on this principle can be used in critical operational environments
where the false alarm rate must be as close as possible to zero, such as airports
and customs. This paper proposes a method for fusing the data from six
algorithms for predicting the detected substances, each optimized for a specific
scanning scenario. In order to reduce the number of false alarms, the algorithms’
results are fused and the decision is taken by applying specific weights to each
result. This study proposes a clonal selection algorithm for finding the optimal
weights, that is based on a dataset composed of 6000 acquisitions in different
conditions. Sodium nitrite is used as the test substance, because it has a
piezoelectric response which makes the detection process more difficult in
particular situations
Keywords—component, nuclear quadrupole resonance, optimization, clonal
selection, data fusion
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 87
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on “Research Advancement in Forthcoming Networking and
Communication Technologies (RAFNCT-2019)”
APPLICATION OF GENETIC ALGORITHM
FOR OPTIMIZATION OF NQR SIGNAL
DETECTION
Mihai Oproescu, Vasile-Gabriel Iana and Cristian Monea
Abstract—Nuclear quadrupole resonance represents a method that provides
good results in the detection of explosives substances, narcotics or drugs. It
ensures multiple and selective detection with very a high identification accuracy.
The phenomenon is well known, but the response signal is very weak and covered
by noise, thus requiring algorithms with very good prediction probability. The
devices based on this principle can be used in critical operational environments
where the false alarm rate must be as close as possible to zero, such as airports
and customs. This paper proposes a method for fusing the data from six
algorithms for predicting the detected substances, each optimized for a specific
scanning scenario. In order to reduce the number of false alarms, the algorithms’
results are fused and the decision is taken by applying specific weights to each
result. This study proposes a genetic algorithm for finding the optimal weights,
that is based on a dataset composed of 8000 acquisitions in different conditions.
Sodium nitrite is used as the test substance, because it has a piezoelectric response
which makes the detection process more difficult in particular situations
Keywords—component, nuclear quadrupole resonance, optimization, genetic
algorithm, data fusion
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 88
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Optical Communication Systems Connectivity
THE EFFECT OF BOUNDARY CONDITIONS
AND MATERIAL PARAMETERS ON THE
TEMPERATURE OF HIGH POWER LEDS
Niculina Draghici
Abstract—Any electronic component (with the exception of Peltier modules)
will dissipate heat when in use. Depending on the amount of dissipated heat, the
component temperature may increase. It is known that between 60-80% of the
electrical power consumed by an LED during operation is converted to heat [3,4].
Generated heat becomes a major problem when the LEDs are chip-on-board or
high-power because the current density increases and thermal dissipation
becomes a problem that should be considered by the designers of lighting
assemblies. In order to obtain the best thermal performances and to reduce the
costs of obtaining a prototype, mechanical and thermoelectric models are
developed and simulated. In this paper we study the way in which the material
parameters and the boundary conditions affect the results of thermal simulations
starting from the virtual model of a real LED presented in [1] by the author.
Keywords—high power LED, thermal simulation, heat sink
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 89
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Optical Communication Systems Connectivity
DESIGN OF AN LED-BASED SOLAR
SPECTRUM SIMULATOR FOR PORPHYRIN
DYE-SENSITIZED SOLAR CELL
CHARACTERIZATION
Ana Barar, Alina Elena Marcu, Paul Schiopu and Marian Vladescu
Abstract—This paper presents the design considerations for a special solar
spectrum simulator, based on LED technology, specifically conceived for the
characterization of porphyrin-based dye-sensitized solar cells.
Keywords—solar spectrum, photovoltaics, DSSC, solar simulator, LED
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 90
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Optical Communication Systems Connectivity
TUNABLE SELECTIVE PLASMONIC ANGLE-
LARGE METAMATERIAL ABSORBER
Aurelian Costea, Paul Schiopu and Marian Vladescu
Abstract—Throughout this research we substantiate that a film, a specially built
thin one, having a certain configuration, can deal with incoming electromagnetic-
EM waves that ”hits” the film, in a very discerning manner, within the range of
ultraviolet-UV to far infrared. Configuration we built has on bottom a layer of a
conducting material under a layer of a insulator having on top a pattern of "dots"
of conducting material. Making adjustments regarding the dimensions, the
materials of dots, we accomplished absorption resonances wavelength values of
0.35, 1.3, 12, 51microns. The specular spectra of the reflectivity is angle-
conditioned evidenced by visible-toUV spectrometers. The absorption highest
values goes from 83% to98%. Applications for that kind of absorbers are
represented by thermal detectors. There is a proportionality relation between
surface structures linear dimension, the dielectric permittivity and the
wavelength resonance. The dipolar plasma resonance image dipoles in the ground
plane and the dipolar plasma resonance in the surface structures are coupled.
Thus generates a circuit resonant LCR that describes the resonances of
absorption.
Keywords—far infrared, LWIR, near-IR, plasmonics, tunable absorbers,
metamaterial absorber
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 91
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Optical Communication Systems Connectivity
NEXT LEVEL FOR FIBER OPTIC PROJECTS
DEPLOYMENTS
Cornel Barbut
Abstract—This article is a view of how the Fiber Optic installers can move to
the next level of their execution works for multiple customers in Fiber Optic
deployments. Deployments contains all types of Fiber Optic deployments, from
backbone to FTTH networks, from Metropolitan Fiber Optic Networks to Rural
FTTH.
Keywords—fiber optic deployments, efficient fiber optic network deployments,
fiber optic installer, metropolitan fiber optic networks, future fiber optic deployments
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 92
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
EMPLOYING SOFTWARE AGENTS AND
CONSTRUCTIVISM TO MAKE MASSIVE
OPEN ONLINE COURSES MORE STUDENT-
ORIENTED
Ufuoma Apoki and Gloria Crisan
Abstract—This paper aims at reviewing and applying constructivism, as a
learning theory, in the design and development of automated technologies for
Massive Open Online Courses in higher education. Although new in the field of
online education, these courses hold the promise of ensuring many people get
access to higher education. As it promises many advantages, its multiple
challenges also lurk around. Applying the right learning theories would provide
a platform that delivers a learning environment which is both automated (to
account for the high number of users) and personalized. The methodology uses
big data technologies and natural language processing skills to provide quality
interaction between platform and student. A model is proposed which employs
software agents and constructivism (as a learning theory) to make massive open
online courses more student-oriented.
Keywords—massive open online courses, online education, learning theories,
learning styles, personalized learning, constructivism, software agents
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 93
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
A COMPARATIVE ANALISIS OF STAFF
TRAINING PROGRAMMES
Claudiu Langa, Sofia-Loredana Tudor, Adriana-Nicoleta Lazăr and
Emanuel Soare
Abstract—The present paper aims at presenting a comparative study of the
adult education system in four different countries (Romania, Germany, Greece,
Norway), based on the analysis of the national educational, legislative and
curricular policy documents. The paper gives a systemic analysis of the
framework on adult training, and the implementation methods specific to each
country, focusing on highlighting their experience in adult education and
promoting good practice models.
Keywords—adult education, benchmark, style, training
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 94
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
MORE TECHNOLOGIZED IS NOT MORE
EDUCATED
Alexandru Mărchidan
Abstract—This paper focuses mainly on the dangers of new communication
technologies for the intellectual and cultural development of young people.
Although these technologies also have some advantages for information and
communication, however, the disadvantages are much greater. As such, we will
analyze their effects structurally (neuro-physically), psychosocially and morally,
and in the end we will try to find out what can be done to limit these negative
effects.
Keywords—digital pitfalls, social networks, digital technologies, homo
connecticus, homo communicans.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 95
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
NONVERBAL CUMMUNICATION IN JOB
INTERVIEWES. A CASE STUDY ON LOCAL
ORGANISATIONS
Elena Popescu and Tudorel Popescu
Abstract—In general, communication is the indispensable element for the
optimal functioning of any human community, regardless of its nature and size.
In particular, nonverbal communication is the accumulation of messages, which
are not expressed by words and which can be decoded, creating meanings
(kinesics). This signal can repeat, contradict, replace, complete or accentuate the
message sent through words. The importance of nonverbal communication was
demonstrated in 1967 by Albert Mehrabian. After a study, he concluded that only
5% of the message is transmitted verbally, while 38% are transmitted by voice
and 55% through body language. Therefore this research aims to demonstrate
the importance of nonverbal communication empirically - in job interviews. The
general description of this process is made with the help of an qualitative method
- the research interview. The interviews have been registered with ten employers
form Argeș district in 2018-2019. The conclusions of this study were: employers
do take in consideration the importance of how the future employee present
himself, but only at instinctual level, the local firms do not have human resources
trainers specialized in body language. They look for gestures and clothing stiles
and the general body expression is taken into consideration. So the main body
expressions valued at a future employee are (according to some local leaders):
dynamism and initiative (J. Messinger, p.34), but in reality it is the gestures that
makes the final decision if you correspond on not to what the organization
wants/needs.
Keywords—communication, nonverbal communication, kinesics, leader,
organisation, employees, human resources, interview, research, qualitative,
empirical study
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 96
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
TENDENCY OF REMOVAL OF THE MEDIA
FROM OFFICIAL COMMUNICATION OF
PUBLIC INSTITUTIONS
Florin Stoica
Abstract—A fundamental responsibility of any public institution is to make the
results of its work public, so that every citizen can evaluate his activity. Public
institutions operate with funds from the state budget and their activity is aimed
at the public good. In this context, any such organization must be transparent and
make available to citizens all public information provided by law.
One way the institutions can fulfill this obligation is by means of the media,
which are independent communication channels, which can verify, certify and
transmit to the public messages of public interest. Currently, at a local level - in
Romania - there is a fracture that tends to deepen in the communication between
the public institutions and the media. This trend can become extremely damaging
to the public communications environment, with negative effects for the correct
information of citizens.
The paper aims to radiograph the current state of communication between
local public institutions and the media, to identify the problems of this
communication relation and to propose solutions to overcome the obstacles that
have arisen.
Keywords—communication of public institutions; mass-media; public interest
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 97
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
THE ROLE OF EDUCATION IN THE
DEVELOPMENT OF PSYCHO-BEHAVIORAL
SANOGENESIS MODELS IN
CONTEMPORARY SOCIETY
Ioana Dumitru
Abstract—The consumerism culture, nowadays, claims an ideal of beauty and
atractiveness which are very hard to find în reality, and this becomes a pressure
on young women, as their body image is strongly correlated with their identity,
self esteem and self image.The appearence of the ideal body, promoted în different
ways, is very hard to find în reality, being impossible to reach these standards,
specially in the case of young women, who have as developmental task the discover
of their identity, a fact which makes them a lot more vulnerable at the
environmental requests.
Although the subject is very modern, there aren’t studies to establish real
differences between the persons who have plastic surgeries, and those who have
not regarding education interests.
Keywords—behavior, body, aesthetic, self-esteem, academic
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 98
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
IMPLEMENTATION OF THE EUROPEAN
QUALITY ASSESSMENT FRAMEWORK IN
THE ROMANIAN EDUCATION SYSTEM
Maria Pescaru and Cristina Maria Pescaru
Abstract—The concept of quality has a strong cultural load, being dependent
on the values promoted by individuals, groups and society as a whole. The quality
of education is defined, promoted, assured and evaluated on the basis of values
expressed at the social, school, school and community levels.
The national management and quality assurance system represents all the
institutional structures, rules and procedures, as well as the concrete activities of
design, implementation, evaluation and quality review at the level of the education
system, the subsystems and the school units. It includes institutional structures at
the Local Evaluation and Quality Assurance Commission (LEQAC) at local level
and other national commissions: the Romanian Agency for Quality Assurance in
Pre-university Education (RAQAPE) and the Romanian Agency for Quality
Assurance in Higher Education (RAQAHE ), but also other structures established
at the local, county or national level (according to the decision of the central and
local authorities).
Pluralismul educațional, respectarea tradiției și identității naționale, toleranța,
libertatea de opinie, demnitatea, patriotismul, independența gândirii, respectarea
celorlalți, cinstea și respectul pentru justiție și pentru drepturile celorlalți,
decența și altele sunt valorile fundamentale ale educației promovate în România
și în Europa prin sistemul național de management si asigurare a calității.
Educational pluralism, respect for national tradition and identity, tolerance,
freedom of opinion, dignity, patriotism, independence of thought, respect for
others, honesty and respect for justice and the rights of others, decency and others
are the fundamental values of education promoted in Romania and in Europe the
national quality management and quality assurance system.
Keywords—quality, management, education, external evaluation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 99
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
THE NATIONAL QUALITY ASSURANCE
SYSTEM IN ROMANIA
Maria Pescaru
Abstract—Like many other countries around the world, Romania faces a
number of challenges that impose a flexible workforce able to meet the labor
market demand and eager to participate in lifelong learning programs to keep
pace with modern economic and technological changes. In this regard, according
to the strategy of the Ministry of National Education, quality management in pre-
university education is a desideratum that ensures the quality of education and
refers to the following areas and criteria: the institutional capacity resulting from
the internal organization and the available infrastructure, defined by the
institutional, administrative and managerial structures, material basis and
especially through human resources; educational effectiveness consisting of
mobilizing resources in order to achieve the expected learning outcomes,
materialized in the content and flexibility of study programs, learning outcomes,
methodical or research work and the financial activity of the organization; quality
management that results in the establishment of strategies and procedures for
quality assurance, the initiation, monitoring and periodic review of study
programs, the implementation of objective and transparent procedures for
assessing the learning outcomes and the quality of the teaching staff, the
accessibility of adequate learning resources, information of public interest, the
formation of a positive image in the external environment and, last but not least,
the functioning of the structures for assuring, implementing and evaluating the
quality of education, according to the legislation in force.
Keywords—management, quality, standards, authorization, accreditation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 100
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
THE COMPETENCE OF LEARNING TO
LEARN– AN INDICATOR OF
EMPLOYABILITY IN THE LABOR MARKET
Sofia-Loredana Tudor
Abstract—This paper presents an analysis of the need to correlate the
professional competences offered by the university studies programs in relation
to the employability requirements of the graduates on the labor market. The study
analyzes the concepts of competence versus transversal competences versus new
competences required on the labor market; the applied part of the study focuses
on the analysis of the students' perceptions from 4 university specializations
(education sciences, psychology, sociology, communication sciences) on the
competence of learning to learn from the perspective of fulfilling its performance
descriptors during university studies . The conclusion of the study reflects the
fulfillment of cognitive indicators (the ability to carry out various projects,
initiative, entrepreneurship, digital culture), but the failure to fulfill the indicators
of the social-emotional and motivational sphere.
Keywords—professional competencies versus transversal competencies, formative
assessment of competencies, employment on the labor market, learning to learn
competence
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 101
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
DETERMINANTS OF LEARNING
MOTIVATION FROM THE PERSPECTIVE OF
SELF DETERMINATION THEORY
Stan Maria Magdalena and Plaiasu Adriana Gabriela
Abstract—From the perspective of Self - determination theory, student
engagement is considered self-regulated learning since it manifests behaviourally
through a permanent focus upon the main objectives, attendance, concentration,
time management, positive collaboration with teachers and peers. The present
research is an application of Self-Determination Theory (SDT) through which we
try to identify the relation between students’ motivation (students’ motivation
being conceptualized as a continuum having five aspects: amotivation, external,
introjected, identified and intrinsec), individual traits (self-efficacy) and the
characteristics of the learning environment: perception upon the learning
environment (support of autonomy, support of competence and social
relatedness).
Keywords—learning motivation, self determination theory, learning environment,
interest, learning engagement, self- efficacy.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 102
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
ROMANIAN PRE-UNIVERSITY EDUCATION
FROM THE PERSPECTIVE OF SCHOOL
MANAGEMENT
Jianu Eugenia, Mihai Oproescu and Dumitru Tudosoiu
Abstract—This paper presents an image of the pre-university education seen
through the eyes of the school manager.
Management is a conscious process of managing and coordinating individual
and group actions and activities, as well as mobilizing and allocating the
organization's resources to meet its objectives in accordance with its mission,
goals and economic and social responsibilities.
Educational management is a methodology of a global - optimal - strategic
approach to education, but not a model for the management of the basic unit of
the education system applicable to the complex school organization.
Keywords—school organization, system approach, school management, education
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 103
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
SCHOOL AND PROFESSIONAL
ORIENTATION TO ADOLESCENTS
Mihai Oproescu, Eugenia Jianu, Ionut Bulgaru and Delia Duminica
Abstract—In the last years, science has seen a lot of research on school and
professional orientation of adolescents as well as adults. Thus, the school and
professional orientation occupies an important place in the contemporary society
based on the free market economy, being a complex pedagogical problem and
action, accepted by the international forums, which have concerns regarding the
education of young generations, the labor force and the specialists.
Most young people are influenced by parents in choosing the profession they
want to exercise, ignoring the aspirations and skills of their children. Usually what
profession parents have the same profession should have their own children. The
problem of studying vocational guidance in adolescents is a theoretical and
practical interest, as it aims at guiding young people in choosing the right
profession in contemporary society.
Starting from the assumption that the school and professional orientation is
directly dependent on the intrinsic motivation of the student, the purpose of this
paper is to determine the conditional and causal factors in choosing the profession
in adolescents.
Keywords—school orientation, career, teenager, school motivation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 104
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
MEDIA, PUBLIC OPINION AND THE
CONTEMPORARY COMMUNICATION
Georgiana Drăghici
Abstract—The media is a complex of social relations governed by journalistic
principles, norms and rules. The media exerts pressure on society in four
directions: economic, political, coercion, symbolic. As far as the economy is
concerned, the media is a powerful factor of pressure on the general framework
of action of the media. The modern era records successive evolution of the main
means of mass communication.
Keywords—media, public opinion, daily information, impact, power
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 105
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
E-LEARNING IN COMPUTER-ASSISTED
TRAINING, ADVANTAGES, DISADVANTAGES
AND FUTURE TRENDS
Mihai Oproescu, Vasile-Gabriel Iana, Eugenia Jianu and Mihaela-
Roxana Anghel
Abstract—The present paper outlines e-learning from the perspective of the
advantages and disadvantages of this education system. At the same time, the
limitations of e-learning are presented. The study is carried out taking into
account several aspects, including: the need for educational software in the world,
in general, and in Romania, in particular; the types of existing educational
software: websites, encyclopedias, e-books, etc.; the software market. In the end,
there are some conclusions about e-learning.
Keywords—e-learning, information psychology, information didactics,
educational software
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 106
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
THE ROLE OF EDUCATION IN THE
DEVELOPMENT OF PSYCHO-BEHAVIORAL
SANOGENESIS MODELS IN
CONTEMPORARY SOCIETY
Georgiana DUMITRU and Ana Apetroaiei
Abstract—This article presents the results of the focus group applied to 13 pre-
university teachers (class masters and school counselors) with rich experience and
serious concerns about school and professional orientation. The focus group
aimed to reveal the teachers' opinions on the identification of the factors
influencing the school and professional orientation of high school students in
Argeş. Focus group participants pointed out that the motivational factors, both
internal, personal (inclinations, skills, interests of the subject), as well as external,
social (parents' counseling, etc.) are involved in the process of school and
professional orientation, teachers, school, friends' exhortation, etc.). Family is
seen as the first important factor in the young person's orientation process as well
as in establishing the professional option and in making the final decision. Within
school, interviewees emphasize the role of each actor in the guidance process: the
class master, the specialist teacher, the doctor, the school counselor. The opinion
shared by the participants in the focus group was that the guidance process should
start from the young school age and continue throughout schooling. Of course,
the optics of the interviewed specialists have led to the approach that choosing the
profession based on internal motivational factors is more beneficial for young
people and even society, because it is better to prepare yourself in a profession
that you want, you have the skills to do it than to you're getting ready for "that's
what the parents wanted," or "I chose it because my friends chose it."
Keywords—school and professional orientation, career dynamics, motivational
factors, high school students
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 107
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
IMPLEMENTATION OF THE EUROPEAN
QUALITY ASSESSMENT FRAMEWORK IN
THE ROMANIAN EDUCATION SYSTEM
Georgiana DUMITRU
Abstract—To make education is to influence behaviors, or to make these
influences in a desirable direction, it is necessary for the person who issues the
influence to have some psycho-pedagogical skills, counseling skills. The present
article focuses on the analysis of the potential relationships between the need for
psycho-pedagogical training and the indicators that measure the pedagogical
behavior of the teaching staff. The analysis of the data was done by combining
quantitative (statistical) and qualitative (content) methods in order to obtain a
more detailed and concrete picture of the topic. The research tool, the
questionnaire, aimed to investigate the activities performed by the teachers in the
usual pedagogical activity, strong activities determined by the contact, the
relationship with the pupils. Moreover, a set of indicators was developed to
identify the frequency of use in the usual work of close competencies, precursors,
to the specifics of educational counseling. Regarding the identification of the
disciplines that can support the curriculum of the educational counseling for the
teachers and especially head teachers, carried out in relation to the indicator on
the necessity of the pedagogical training in the field of educational counseling, the
results showed that the most representative for such of the curriculum are:
conflict psycho sociology, assertive communication, family pedagogy, permanent
learning management, equal opportunities in education, professional career
management. The study can be an effective information tool whose results can be
integrated into the administrative and educational approaches of several
categories of beneficiaries or decision-makers. The data provided can be at the
heart of the surprise of the relevance of future in-service training programs.
Keywords—teachers, class master, students, educational counseling
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 108
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
THE COMPETENCE OF LEARNING TO
LEARN– AN INDICATOR OF
EMPLOYABILITY IN THE LABOR MARKET
Maria Claudia Ionescu and Andreea Stan
Abstract—This study aims to identify third year Psychology students’
perceptions on their competences and the importance they place on these
competences for a Psychology professional, as well as to explore students’ inputs
on things the faculty can do in order to improve future Psychology students’
professional training. 54 Psychology students took part in this survey, in their last
academic term, before final exams. More than half of them assess that they have
all the professional and transversal competences developed to a large and very
large extent. In students’ perception, the most developed is Teamwork
competence and the least developed is Designing and conducting psychological
interventions. In students’ opinion, the first most important competences for
Psychologists are: Critical thinking, Usage of the main concepts in Psychology,
Designing and conducting a psychological research, Psychological assessment of
individuals, groups and organizations, and Interpersonal relationship and
communication in professional areas. Students identified three main solutions for
the faculty in order to improve professional training of future Psychology
students.
Keywords—psychology students’ competence; students’ selfassessment;
professional competence improvement
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 109
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
THE ENGINEER PROFESSOR, A NEW
GULLIVER TRAVELLING THROUGH THE
UNIVERSE OF THE METHODS
Florin TECAU and Cristina TECĂU
Abstract—How could we define the Engineer Professor? A restless traveler
through the needle of thinking, a Gulliver in need to find undiscovered territories.
He firstly arrives in Lilliput, the country of the dwarves. Directs himself toward
Brobdingnag, the giant’s country, toward Laputa, the flying island, toward
Glubbdubdrib, the country wizards and last but not least, toward e Houyhnhnms,
the noble horses’ s country. Lilliput, the country of the dwarves, symbolizes the
methods based upon the activation of the pupil’s thinking, step by step, in the
elaboration of the educative process. Thus the pupils are assimilated in the
dynamic of the teaching activities, intrinsically constrained to study and
eventually to activate all the potential cognition for reaching the school efficiency.
Along this time the teacher seems to watch the classroom universe like a scientist
who is using the microscope and he sees it through the convergent lens of
education. Brobdingnag, the giants country, symbolizes the methods based on
group activities & on promoting a global brainstorming that concentrate the flux
of collective ideas rising them in an indestructible spiral. The teacher is looking
now through a telescope, watching the augmentation of the school efficiency up to
the reaching of the pedagogic ideal. Laputa, Glubbdubdrib & Houyhnhnms offer
a kaleidoscopic view, making reference to the mosque activities that integrate both
the traditional & modern teaching.
Keywords—engineer professor, school efficiency, mozaique activities, education
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 110
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
JOB PERCEPTIONS AND TRAINING NEEDS
OF SOCIAL WORKERS FROM RURAL AREAS
- COMPARATIVE RESEARCH IN SEVEN
EUROPEAN COUNTRIES
Maria Claudia Ionescu and Lucia Neagoe
Abstract—Social work professionals have a very complex and emotionally
demanding job: they face a large variety of clients, usually the most vulnerable
individuals and social groups, who found themselves in problematic situations or
even dramas. This kind of work requires a great adaptability, both in terms of
professional tools and personal resources. Social workers can experience stress,
negative emotions, lack of energy and motivation, dissatisfaction and even
burnout, as consequences of their work. This study aims to identify one common
profile on job perceptions (including occupational stressors and burnout
symptoms) and needs in professional development of social workers from rural
regions of seven European countries (Bulgaria, Greece, Italy, Portugal, Romania,
Spain, Slovenia). The sample includes 348 social workers who filled in a
questionnaire via email. The main results stress the existence of organizational
stressors and the need for continuous professional development.
Keywords—job stress; professional training needs; social workers; social work
education
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 111
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
International Workshop on Trends and Opportunities in Teaching Career
POSTER
THE FULLDOME DOCUMENTARY FILM IN
THE CONTEMPORARY MEDIA AND
EDUCATIONAL CONTEXT -GENERAL
CONSIDERATIONS
Cîrstea Petre Remus
Abstract—The media immersiveness could be a true asset in modern
educational context understanding, first, the effective use of digital planetariums
and the ongoing development of New Media in the Contemporary Cinema. One
can name it: the Fulldome Documentary Film, first.
Keywords—fulldome, media, documentary, edutaiment, Media.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 112
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
MALWARE’S DOUBLE ANTI ANALYSIS (DAA)
ANALYSIS METHODOLOGY
Yanis Beqqali, Hamza Es Sadik, Francine Herrmann and Fabrice
Sabatier
Abstract—Most modern malware use anti-analyze techniques to escape existing
detection and analysis solutions. We designed a new methodology DAA to analyze
malwares even when they use this predisposition. To this end, we have analyzed
severaMost modern malware use anti-analyze techniques to escape existing
detection and analysis solutions. We designed a new methodology DAA to analyze
malwares even when they use this predisposition. To this end, we have analyzed
several existing approaches aimed to evade malware in order to use the most
effective ones. A new open source software tool has been designed and developed.
We tested our software with more than 300000 LHS’s malwares.This
implementation allowed us to confirm the importance of studying the behaviour
of malwares in an environment able to counter the anti-analysis techniques. l
existing approaches aimed to evade malware in order to use the most effective
ones. A new open source software tool has been designed and developed. We tested
our software with more than 300000 LHS’s malwares.This implementation
allowed us to confirm the importance of studying the behaviour of malwares in
an environment able to counter the anti-analysis techniques.
Keywords—DAA Methodology, Malware Analysis, Anti-Analysis Technique,
Escape Technique, Anti-Analytics, Anti-Bypass
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 113
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
A METHOD OF DECREASING
CONNECTABILITY OF DERIVED DATA,
USING LOCAL DIFFERENTIAL PRIVACY
Hidenobu Oguri
Abstract—A lot of personal data in the company are processed into various
formats for each purpose of use, such as aggregate tables, and are generally stored
as derived data. After the enforcement of the GDPR, when the user exercises
"right to the erasure of personal data", the companies are obliged to delete any
link, or copy of the data taking all reasonable measures. On the other hand, since
the data necessary for companies to comply with legal obligations should be
retained, risk assessment of data to be deleted and data to be left is necessary.
However, many derived data can be combined and the original data may be
restored, and it is difficult to determine whether the data should be deleted. In
this paper, we propose a method to measure the connectability of each attribute
between derived data and manage the relationship by a graph structure. Then, by
searching as a route the connectivity between the derived data, we measure the
risk of connecting and restoring personal data. Using this structure, we propose a
method to reduce connectability by using local differential privacy to disturb only
the attribute with the highest connectability among the searched routes. And we
also propose a measurement method of privacy protection index necessary to
process to the level that cannot distinguish the users when two people were
extracted from a database and applied differential privacy, and the effect was
verified by experiments.
Keywords—Local differential privacy, Derived data, Right to erasure
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 114
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
METHODOLOGY OF DARK WEB
MONITORING
Nicolas Ferry, Thomas Hackenheimer, Francine Herrmann and
Alexandre Tourette
Abstract—The darkweb is spreading more and more and allows many malicious
or criminal activities through the Tor network. To our knowledge, there is no
public tool for monitoring the darkweb. We designed a new strategy to monitor
the dark web. Moreover, this automatic methodology spares visualization by
human being of deviant contents. We have implemented this new monitoring
methodology, potentially useful for those who regularly scan this dark side of the
Internet. We tested our software a, we proceeded some experimental tests and we
analyzed the results comparing them to previous analogous experimental studies.
Keywords—dark web, security, web monitoring, hidden service, Tor network,
onion routing, semantic analysis
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 115
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
SMART GRID PROTECTION USING MAC
VALUE ANALYSIS
Balduino Estison Mugilila Camachi, Dan Popescu and Loretta Ichim
Abstract—The purpose of this paper is to illustrate the vulnerabilities found
through the studies, mainly through the methods of preventing an attack of a
Smart Grid. Having a contingency plan of attacks is not something complex and
should be part of everyday business, it’s wrong to think that answering a security
incident only happens in cases of mega attacks, such as WannaCry. Any Security
threat must be taken seriously, no matter how small the threat is, because the
threat might just be a test of vulnerability. The main goal of this article is to
prevent cyber-attacks of Smart Grid using MAC Value Analysis. On this article
the goal is to protect the network from these attacks.
Keywords—cyber security, smart grid, substation, network, detection, poisoning,
MAC address, IP address
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 116
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
EVALUATION OF ATTACKER SKILL LEVEL
FOR MULTI-STAGE ATTACKS
Terézia Mézešová, Pavol Sokol and Tomáš Bajtoš
Abstract—
Information security risks caused by difficult to exploit vulnerabilities are
often treated with countermeasures as last due to their low likelihood of
occurrence and should be given a high priority in security monitoring. In this
paper, we propose an evaluation of detected attacks in terms of their difficulty –
by assigning them an attacker’s skill level. We draw similarities between
vulnerability’s exploitability score and aim to evaluate intrusion detection system
alerts within the same framework. We also present the methodology on attacks
from a dataset intended for evaluation of intrusion detection systems.
Keywords—attack evaluation, attacker skill level, attacker modelling
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 117
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
SPECTRUM OPTIONS AND WIRELESS
COMMUNICATION SOLUTIONS FOR
DRONES
Laurențiu Gabriel Militaru, Dan Popescu and Loretta Ichim
Abstract—As the need for safe and secure communication solution for drone
applications increases, this paper is analyzing today’s status starting with the
existing standards and solutions to hypothetical solutions, standard drafts and
trends for enabling developers to implement reliable solutions. When evaluating
a large quantity of articles, papers and casestudies approaching this subject, the
authors’ focus was on the state of the art, technology comparison, existing
standards, development trends and on highlighted safety and security issues.
Keywords—UAV, wireless communication systems, frequency bands, standards,
spectrum, drone safety and security issues
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 118
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
IWSSS
ON THE DEVELOPMENT OF A ROBUST
CYBER SECURITY SYSTEM FOR INTERNET
OF THINGS DEVICES
Octavian Ionescu, Viorel Dumitru, Emil Pricop, Octavian Buiu, Cornel
Cobianu, Mihai Raneti, Stefan Pircalabu and Costin Marica
Abstract—Cyber security threats have escalated dramatically in the past few
years, this being the main reason why the development of Internet of Things (IoT)
devices was hindered and the full potential of their utility was not reached. A
major step forward could be taken only by providing reliable and cheap
protection against unauthorized interference from malicious users and other
threats so that people can feel safe keeping their devices connected to the cloud.
This paper is focused on the development of a robust cyber security solution for
IoT. The device developed and presented in this paper has the capability of solving
cyber security problem by using a simple and low-cost solution, that comes with
the advantage of being less intrusive and easily adaptable to any Ethernet
connected IoT device. The developed device has two embodiments, the first one
being a simple hardware control of the communication line using a parallel
channel, and the second one extending the features of the first by using the
physical unclonable functions (PUF) generated by a controlled memristor for
securing the data sent over the communication channel.
Keywords—Cyber security, IoT security, memristor, PUFs
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 119
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
SINGLE SENSOR BLUETOOTH
MULTILATERATION FROM ARBITRARY
LOCATIONS
Xavier Quinn
Abstract—The genesis of Bluetooth heralded a massive influx of tiny, easily
produced, data transmitting devices, which due to their low power draw, could be
connected to a decent sized battery and transmit data for weeks on end. Now that
nearly all phones and computers have this capability built in, it has become useful
for any number of reasons to know what type of devices are within an area, and
their precise location. Systems have been developed which locate these devices,
but only as long as they are within the range of multiple stationary beacons, which,
depending on the area wishing to be monitored, may have severe limitations. This
paper outlines the development of a system that uses a single sensor to determine
the location of Bluetooth devices over any sized area.
Keywords—Bluetooth, Wireless, Location, Multilateration
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 120
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
THE IMPACT OF TECHNOLOGY AND
INNOVATION DEVELOPMENT ON
POPULATION DYNAMICS AND STRUCTURE
Cristina Teodora Balaceanu, Daniela Penu and Dorina Mocuta
Abstract—Globalization and technological development, innovation and
scientific research are elements for increasing living standards and quality of life
for the population. Under the conditions of sustainable economic growth, the
world's economies are developing ways to increase the health of the population
and life expectancy. Under these conditions, economies need to produce jobs or
tools to provide financial support, with effects on the sustainability of economic
resources. And yet, there are many countries that capture the negative effects of
economic development.
The study shows the effects of economic development in emerging countries in
the European Union and in the countries left behind those developed in the
European Union.
Keywords—sustainable, development, population
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 121
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
VIRTUAL INSTRUMENT USED FOR
PLOTTING THE ROOT LOCUS
Teodorescu Rodica-Mihaela
Abstract—The paper aims to present a virtual instrument, implemented in the
LabVIEW graphical programing environment, and used for plotting the root
locus of systems. There are presented the rules and the algorithm used for plotting
the roots locus of an closedloop system. The presented application uses the
proposed virtual instrument for plotting the root locus of the system.
Keywords—system stability, root locus, virtual instrument in Labview
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 122
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
VIRTUAL INSTRUMENT USED FOR
STUDYING THE STABILITY OF THE
SYSTEMS
Teodorescu Rodica-Mihaela
Abstract—The paper aims to present a virtual instrument, implemented in the
LabVIEW graphical programing environment, and used for studying the stability
of the systems, based on the Nyquist criterion. There are presented four specific
applications that use the proposed virtual instrument. For each application, the
indicators on the front panel show the system's open loop transfer function, the
values of the poles and their position in S plan, the Nyquist hodograph and the
result obtained with respect to the stability of the open loop system .
Keywords—system stability, the Nyquist hodograph, virtual instrument in Labview
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 123
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
IOT BASED SYSTEM FOR SMART
AGRICULTURE
Ioana Marcu, George Suciu, Cristina Mihaela Balaceanu and
Alexandru Banaru
Abstract—Productivity and quality of crops. Some of the first significant
improvements have been remarked when machines and new tools such as
irrigation systems, harvest machines, farmland clearing machines were
introduced in the primitive agriculture, where these activities were performed
mainly by humans and animals. Over time, agriculture has been affected by
weather disasters (such as storms or extreme temperatures) and by natural
disasters (such as pests and plant diseases). Thus, the next step in the development
of the agriculture domain was to propose the Internet of Things (IoT) solutions
for monitoring of many parameters for better precision agriculture. Such a
system would provide useful information on plant growth, crops’ diseases, and
soil properties that are a benefit for crops. This paper describes a possible solution
for a more reliable IoT-based system using Libelium for Smart Agriculture to
monitor the parameters that have a direct impact on crops. Moreover, the
monitoring system aims to manage agricultural issues related to irrigations and
analyses the effect of the measured parameters on agriculture, helping the
farmers to have healthy crops.
Keywords—Libelium, Monitoring of crops, meteorological parameters,
agriculture
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 124
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
INVESTIGATION OF THE DIFFERENT
MODELS PERFORMANCE FOR EVALUATING
THE DISTURBANCE IN THE IONOSPHERE
Kareem Difar, Jalal Hussein Abd Ali, Amer Abbood Al-Behadili,
Maysam Kadhim Kareem, Ali Raad Deaim and Mustafa Khaleel
Hamadani
Abstract—The ionosphere is the region in the space that is restricted in distance
above the Earth and it contains free electrons and ions that disturb the
electromagnetic waves when the waves pass through it. Several models were used
to investigate the ionosphere conditions. These models use mainly two parameters
to evaluate the perturbations in the ionosphere. These parameters are the electron
density and TEC (Total Electron Content) which they control the ability of
reflections frequencies in the ionosphere. The propagation characteristics were
investigated. This paper uses four models to estimate the ionosphere
perturbations. The goal of this paper was to choose the most efficient model that
gives the best image that evaluates the ability of reflections shortwaves in the
ionosphere. All these computations did not take the Sunspot number in
considerations.
Keywords—IRI-2007, NeQuick model, Space Weather Service model, VOACAP
model, Ionosphere
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 125
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
CONVERSION TOOL FOR AUDIO-VIDEO FILE
COMPATIBILITY IN MOODLE E-LEARNING
PLATFORM
Banes Vasile, Babarada Florin and Ravariu Cristian
Abstract—This paper presents the development of a user interface conversion
tool, able to get audio-video file compatibility for the e-learning platform through
which files can be imported. At this stage, there are a wide range of audio-video
formats, but only some of them can be accepted by the E-learning platform.
Therefore, the goal in this work is to create a conversion tool for audio-video file
compatibility, using the Microsoft Visual Studio.
Keywords—e-learning., conversion tool., user interface.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 126
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
MANAGEMENT SOFTWARE FOR A
PUBLISHING COMPANY
George Cosmin Stanica and Petre Anghelescu
Abstract—This paper presents a software solution for managing a publishing
company. The application provides features such as: managing employees and
clients, processing orders and generating invoices, administration of products and
generating warnings concerning low stock. Users may access the application by
credentials each having different rights according on them. The system is
developed for processing a large amount of data, offering solutions based on
simple analysis models. All the algorithms and results obtained are developed and
tested using the C# programming language and a database created with SQL
Server used for data storage.
Keywords—credentials, relational databse, GSM module, application interface,
connection string
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 127
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
SOFTWARE FOR MODELING, SIMULATION
AND PROTOTIPING RTT ROBORTS
Sîrb Vali-Chivuța
Abstract—Automatization and robotics have become an important factor in the
development of any country’s industry. Besides the impact they have on the
productivity, they are stimulating the improvement of work conditions (especially
those that are dull or dangerous), enhancing the control over the safety of the
industrial installations, helping to save energy and raw materials, to the
optimization of the infrastructure and stock costs, to achieve complex production
operations, as well as increasing the quality of products and services.
Keywords—modeling, simulation, cinematic model, MatLab Simulink
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 128
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
A REVIEW OF DIFFERENT ESTIMATION
METHODS OF DC OFFSET VOLTAGE FOR
PERIODIC-DISCRETE SIGNALS
Mihai-Catalin Arva, Eugen Diaconescu, Mirel Stanica and Nicu Bizon
Abstract—The precise and efficient estimation of the DC component of the
discrete periodic signals is required and used in many engineering and scientific
fields of signal processing. In this paper there are presented several methods of
estimating the DC component for discrete periodic signals. The main purpose of
this paper is to show the influence of using a method of estimating DC offset on
the precision of measurements and the present a comparison between several
estimation methods. The estimation methods include the arithmetic mean method,
the method using the Discreet Fourier Transform (DFT), the linear regression
scattering method and the least squares method using high order interpolation.
There are presented both theory elements and modeling and simulation elements
specific to each method. An evaluation of the accuracy of the methods in which
both the true error and the standard deviation are presented for each method is
also performed.
Keywords—estimation methods, DC offset, discrete-periodic signals, DFT, least
squares, evaluation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 129
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
CURRENT CONSUMPTION ANALISYS FOR 8-
BIT MICROCONTROLLERS
Alexandru Buturuga, Rodica Constantinescu and Dan Stoichescu
Abstract—Throughout the design cycle of embedded software for
microcontrollers one crucial aspect is always the microcontroller's performance.
There are many variables when it comes to microcontroller performance: clock
speed, memory size, current consumption etc. This paper focuses on analyzing the
microcontrollers’ current consumption under some specific scenarios while
executing specially designed software. The focus of this analysis is on 8-bit
microcontrollers. The purpose of this analysis is to help engineers design energy
efficient embedded software.
Keywords—microcontroller, performance, current, power, monitoring,
measurements
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 130
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
POSTER
A DEEP CNN APPROACH WITH TRANSFER
LEARNING FOR IMAGE RECOGNITION
Cristian Iorga and Victor-Emil Neagoe
Abstract—This paper presents a model of Deep Convolutional Neural Networks
(CNN) based on transfer learning for image recognition. This means to use a Deep
CNN system pretrained on the large ImageNet dataset of 14 million images and
1000 classes in order to learn feature selection. The results of the pretraining
phase are transferred to the problem of classification for the images belonging to
the UC Merced Land Use dataset with 21 classes. As benchmark, we have
considered a Deep CNN trained with a fraction of the same UC Merced Land Use
dataset containing the test images for classification. The experimental results have
pointed out the obvious advantage of the Deep CNN with transfer learning
(accuracy of 0.87 using pretraining over 0.46 for fully training on the same
dataset).
Keywords—Artificial Intelligence, Deep Learning, Convolutional Neural
Networks, Image Classification, Transfer Learning, Feature Selection
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 131
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DESIGN AND ANALYSIS OF A NEW G-SHAPE
SINGLE LAYER REFLECTARRAY ANTENNA
Noor Naeem and Musa Wali
Abstract—In this paper, a new design single layer rectangular patch microstrip
reflectarray antenna (MRAA) with G-shape slot has been suggested for satellite
communication. A 6 GHz, C-band resonance frequency is targeted in this work.
Each shape is constructed using the proposed elements with variable dimensions.
The selection of shapes-pattern is based on the beam-shaping of the antenna. 3-
dB gain bandwidth of 32.21 dB and linear phase range 326º has been obtained for
this design. Maximum reflection efficiency 97.49%. Suitable results have been
acquired from simulated work for the application frequency band, which is
approved by the manufactured antenna. Despite the small size of the antenna, it
has acceptable results compared with the traditional parabolic antenna. Horn
antenna is used to feed the reflectarray antenna. The purpose of the antenna
design to obtain a wide reflection phase, lower reflection losses and high gain.
Keywords—microstrip, antenna, reflectarray
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 132
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
SOLUTION TO CONNECT A PHOTOVOLTAIC
POWER STATION TO THE NATIONAL
POWER GRID IN OPTIMUM ECONOMIC
CONDITIONS
Angelo Nicolae Petre, Brana Liliana Samoila and Ilie Utu
Abstract—For many investors, the connection of photovoltaic power plants to
the National Power Grid represents a real challenge and an important stage,
which costs about 10-15% of the total investment, sometimes even more, if the
technical connection opinion requires other works. The works presented in the
paper answer the following aims: connecting a photovoltaic power station to the
grid at minimal cost and directing the energy generated by the photovoltaic plant
first to its own consumers and only the surplus being injected into the network.
Keywords—photovoltaic station, solar panel, electricity, connection
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 133
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
SMART SERVICE SYSTEMS: SECURITY AND
PRIVACY CHALLENGES IN THE INTERNET
OF THINGS
George Suciu, Hussain Ijaz, Roxana Damian, Ioana Petre, Gabriel
Petrescu and Oana Chenaru
Abstract—Monitoring and detecting changes in the environment and can be
used for several purposes. To develop new advanced services for smart
environments, data gathered during the monitoring need to be stored, processed
and correlated to different parts of the information that characterizes or
influences the environment itself. With the quick advancement in enabling
technologies for ubiquitous computing, more and more active or passive
devices/sensors are augmented in the smart indoor environment. Service
innovations, enabled by the confluence of big data, mobile solutions, cloud, social,
and cognitive computing, and the Internet of Things (IoT), have gained a lot of
attention among many enterprises in the past few years because they represent
promising ways for companies to effectively and rapidly deliver new services. But
one of today's most pervasive and bedeviling challenges is how to start this
journey and stay on course. In this paper we present our state-of-the-art
technology and IoT devices, how they are playing a vital role in making the world
advanced. The biggest conclusion is that all the information and communications
technology (ICT)-enabled service innovations need to be human-centered and
focused on co-creating value. We took into consideration smart home/office IoT
systems, the related security and privacy challenges and an outlook on the possible
solutions towards a holistic security framework for these IoT systems.
Keywords—Smart environment, IoT devices, WiFi communications, Big Data,
Analytics, Digitization, Smart Service Systems, Digital Service Innovation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 134
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
A CASE STUDY IN THE USABILITY
EVALUATION OF AN ONLINE PUBLIC
SERVICE USED BY SENIORS
Adriana Alexandru, Dragos Daniel Iordache, Maria Gheorghe-Moisii
and Eugenia Tirziu
Abstract—Usability is an important aspect of IT applications being a priority
requirement in online public services. This paper presents the evaluation of the
usability of the national house of public pensions portal. The portal evaluation
involved four experts who tested the portal based on the usability inspection
method. The results of the evaluation revealed several important usability
problems that have to be fixed in order to ease the use of the portal by older
people.
Keywords—usability inspection, public service, seniors
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 135
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
UNCERTAINTY-BASED DECISION MAKING
IN THE PLANNING OF ELECTRIC
TRANSMISSION NETWORKS
Bogdan Constantin Neagu and Gheorghe Grigoras
Abstract—In the planning stage of the electric transmission networks, the
experts should include in the decision making process the uncertainties regarding
the economic or technical aspects that may arise. According to the time horizons
(short, medium, long term), there are different types of uncertainties which can
to be included in planning stages. Need to include different uncertainties will
probably lead to increased usage of fuzzy approach in the planning of the electric
transmission networks. The paper presents an analysis of economic efficiency
assessment of planning variants of an electric transmission network in
uncertainty conditions regarding the demands from supply areas, the electricity
tariff, and the discount rate during the study period. These uncertainties were
modelled using fuzzy techniques. The robustness of fuzzy approach was tested
using a test electric transmission network, and the obtained results were
compared with deterministic approach. They have demonstrated that the fuzzy
techniques-based approach can be used with the success in the decision making
process regarding the planning of the electric transmission networks.
Keywords—uncertainties, decision making, development planning, electric
transmission networks
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 136
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
PERFORMANCE EVALUATION OF THE VOIP
NETWORKS USING TUNNELING
TECHNIQUES
Petrica Ciotirnae and Lucian Murariu
Abstract—The solution of distributing data between multiple sites over public
networks is a solution that most companies value more and more. This strategy is
justified by its multiple advantages, particularly in terms of data availability.
However, the intermediary network through which these operations are carried
out is often the Internet. No one can deny that this network does not provide any
mechanism of privacy, integrity, or authentication. The purpose of this paper is
to analyze the key performance indicators (KPI) of a Voice over IP network that
crosses a public network using VPN (Virtual Private Network) technology.
Keywords—VoIP, VPN, PKI
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 137
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
PRELIMINARY CONSIDERATIONS
REGARDING THE CRYPTOGRAPHIC
STRENGTH OF THE PIXEL SIEVE
CRYPTOGRAPHIC PRIMITIVE
Incze Arpad
Abstract—Based on the theoretical model of the Pixel Sieve cryptographic
primitive a simple application was written to test in practice the proposed method.
In this paper some preliminary test results are presented regarding the
cryptographic strength of the method. For the appointed weaknesses conclusions
and proposals are made to enhance the method.
Keywords—cryptography testing, visual cryptography, secret sharing
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 138
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
POWER MONITORING IN EMBEDDED
SYSTEMS USING PAC1934
Alexandru Buturuga, Rodica Constantinescu and Dan Stoichescu
Abstract—When it comes to designing embedded devices, one very important
aspect is always the system’s power consumption. This parameter is even more
critical if the embedded system is powered from a battery. There are many
variables that can influence the power consumption and each of the system’s
components can have a big impact on the power consumption. This paper presents
a solution for monitoring the power consumption for embedded systems using the
Microchip PAC1934 quad DC power monitor. This solution is analyzed using a
typical embedded system based on an 8-bit microcontroller. The purpose of this
analysis is to help engineers analyze the power consumption of their embedded
system and design energy optimized embedded software.
Keywords—embedded, PAC1934, microcontroller, current, power, monitoring,
measurements
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 139
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
RANSOMWARE HONEYPOT
Cristian Pascariu and Ionut - Daniel Barbu
Abstract—Ransomware poses a major threat to information integrity and
availability. This type of malware will encrypt files on infected computers and
demand ransom in return to restoring access. These scale to companies and
institutions with devastating consequences. The goal of this paper is to propose a
solution based on low cost hardware that will serve as a honeypot or trap for
Ransomware viruses and it will alert defenders, giving them valuable data about
the type of ransomware, which computer got infected first, and if there are any
decryption software available.
Keywords—Rasnsomware, hoenypots, samba, docker
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 140
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
ORIGINAL ELECTRIC CORKSCREW WINE
BOTTLE OPENER
Tudor Cătălin Apostolescu, Silviu Petrache, Georgeta Ionaşcu, Lucian
Bogatu and Cartal Laurențiu Adrian
Abstract—The subject of this paper concerns an automatic device for extracting
the cork, so that a comparison has been made between different solutions of
electric devices, although the problem of automation is more complex. The
adopted mechanism differentiates the screwing function of the corkscrew into the
cork from that of the cork extraction. Consequently, a space-driven mechanical
switching system with lever is proposed. The system is, also, equipped with a
mechanical bistable device, which ensures the stability of the two states. The bottle
cork extractor device, described in this paper, does not have a complete
automation, because it requires manual operation for tipping the transfer lever.
First of all, it was pursued a convenience of serving in the sense of minimal forces
of user action. 3D modeling with SolidWorks programming environment has been
used to design the device. Calculations for driving the device are, also, presented.
Keywords—corkscrew wine bottle opener, electrical actuation space-driven
mechanical switching system, mechanical bistable device, 3D modeling
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 141
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
THE ESTIMATION OF MONTHLY
ELECTRICAL ENERGY CONSUMPTION
WITH FEED FORWARD NEURAL NETWORKS
Alexandru Ene and Cosmin Stirbu
Abstract—In this paper we present a method for the estimation of the monthly
electric energy consumption, in a house, using a feed forward neural network. The
network is trained with the backpropagation algorithm and the patterns used for
training are the previous months’ consumption. The network was trained using
real consumptions from a house, from the previous three years. We used for the
network three input neurons, and on these three inputs will be placed the
consumptions for the previous three months, and the network will estimate on its
output the consumption for the current month.
Keywords—feed forward neural network, energy consumption, non-linear
function approximation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 142
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
AUTOMATIC GENERATION OF QUIZZES
FOR JAVA PROGRAMMING LANGUAGE
Alexandru Ene and Cosmin Stirbu
Abstract—Java is an objected oriented language that is platform independent.
That is why it is widely used for Internet programming. A beginner that starts to
study Java language has firstly to learn how an object is instantiated based on its
constructor, how a public method is called from another class based on its
signature and on class constructor, how a public and static method is called, based
on its signature and on class name, how a public instance variable can be used in
a method defined in a different class and how to access a constant defined in class
in another class. In this paper it is presented an automatic way of generating
random questions concerning these basic issues. These questions are presented to
the student and he has to edit his answers. The paper also presents an automatic
way of verifying the correctitude of the answers.
Keywords—Automatic quiz generation, parameterized questions, regular
expressions, educational software
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 143
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DESIGN AND IMPLEMENTATION OF A HOME
AUTOMATION SYSTEM
Marian Bogdan Bodea, Petre Anghelescu, Bogdan-Mihai Gavriloaia
and Dragos-Nicolae Vizireanu
Abstract—Given that the society we live in is continuously moving and
expanding and that most people have access to the Internet and thus to
information, more and more people rely on safety systems such as "Home
Automation". In this paper we will describe the design and implementation of
such a system. Several types of sensors, a controller, a wi-fi connection and a
NodeMCU module have been used in the design of the system. All the sensors are
connected to a controller and the internet connection is enabled by
interconnection between the module NodeMCU and the Arduino Mega 2560
controller. The paper sets out experimental results stemming from various
working scenarios.
Keywords—hardware design, software design, home automation systems, sensors,
embedded systems
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 144
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
ALTERNATIVES FOR RUNNING LINUX
APPLICATIONS IN WINDOWS
Valeriu Manuel Ionescu, Manan Patel and Drashti Hindocha
Abstract—The Linux operating system is used because it is open source, free,
stable and has many applications in security domain. In university engineering
classes it is used alongside Windows, therefore it is important to allow students to
run Windows and Linux applications at the same time on the same computer. This
paper presents a comparison between Windows Subsystem Linux, Docker,
Cygwin and Oracle VM VirtualBox as solutions for running Linux guest
applications in a Windows 10 host environment. The tests target the application
performance and inter-process communication performance and the conclusions
show the advantages and disadvantages of using each solution for running Linux
applications in a Windows host.
Keywords—VirtualBox, Docker, Windows Linux Subsystem, Cygwin,
performance
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 145
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
BUILDING AND DESIGNING A DUAL AXIS
SOLAR TRACKER FOR EDUCATIONAL
PURPOSES
Florin-Ciprian Argatu, Florentin-Daniel Tarcau, Violeta-Vasilica
Argatu, Sorin-Dan Grigorescu, Bogdan-Adrian Enache and Luminita-
Mirela Constantinescu
Abstract—This paper aims to put in evidence the functional principle of a solar
tracker in an easy to understand manner for students. It will start from presenting
the concept of green energy, the principle of how a photovoltaic cell is made, how
to increase the efficiency of a solar panel by orientation after its movement and
what algorithms can be used in order to increase the overall efficiency. It will also
study the implementation of a practical solution using a solar panel on two
freedom axes with two servomotors and four photoresistors which are controlled
by an Arduino UNO unit so the direct exposure time of the panel in the Sun can
be increased.PV, MPPT, solar energy, Tracking System, Arduino UNO
Keywords—PV, MPPT, solar energy, Tracking System, Arduino UNO
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 146
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
REMOTE CONTROL FOR SMART HOME
APPLICATIONS
Felix-Constantin Adochiei, Razvan-Constantin Stefan, Ioana-Raluca
Adochiei, Bogdan-Adrian Enache, Luminita-Mirela Constantinescu and
Marius-Ciprian Larco
Abstract—This paper presents some basic concepts about what smart home
means, why it is necessary to build such a home in the future, but also what
technologies we have applied to automate different processes. Several means for
process automation are analyzes and a less intrusive one is chosen and presented
in details.
Keywords—smart home, internet of things, process control, automations
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 147
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
NUMERICAL METHOD FOR MODELING THE
INPUT-OUTPUT CHARACTERISTIC IN A
COGENERATION POWER PLANT
Enescu Alexandru, Andrei Horia, Diaconu Emil and Ion Valentin
Abstract—Nowadays the diversification of energy production, especially with
renewable sources, is one of the objectives of sustainable development and the
characterization of their functioning and parameters is the subject of interest of
the researchers. For green power plants running on biomass, the amount needed
is variable depending on several factors. This article aims to determine a
dependence between the input-output parameters of cogeneration plant, namely
between the biomass consumption and electrical power generated. Using the data
collected in the last 3 years from the first such plant that has been operating in
Romania since 2014, an interpolation method and an original ordering of annual
values are used to obtain the accurate dependence input-output.
Keywords—cogeneration power plant, biomass, cogeneration engine, electric
energy output, approximation model
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 148
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DIGITAL MEDIA DISTRIBUTION PLATFORM
USING AMAZON WEB SERVICES
Marius Alexandru Dinca, Nicoleta Angelescu, Radu Dragomir, Dan
Constantin Puchianu and Ion Caciula
Abstract—Digital Media Distribution platforms are necessary for delivering
multimedia content. Classic client-server approaches and 3-tier architectures are
not optimized for media processing. In this paper we present a serverless modern
digital media platform for media content distribution based on the Amazon Web
Services (AWS) cloud platform, namely CloudFront for static content cashing, S3
for data storage, Lambda for the dynamic content and Elastic Transcoder for
media format conversion. The proposed platform offers reduced loading times
and efficient media format conversion/ distribution.
Keywords—video transcoding, serverless architecture, Amazon AWS cloud
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 149
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
THE IDENTIFICATION OF INTELLIGENT
INTERACTIONS BETWEEN EDUCATION AND
LABOUR FORCE MARKET
Mironela Pirnau, Radu Mircea Carp Ciocardia, Claudiu Pirnau, Liviu
Daniel Ghiculescu and Niculae Marinescu
Abstract—In the digital economy characterized by specific interactions among
various economic, cultural, scientific, educational and technologic factors, the
labour force market is changing continuously. In its turn, this requires a qualified
and flexible labour force that can adapt to the market needs. The ability to defeat
competition at a national and international level, is based on the indissoluble link
between education and employment, because the former allows a greater
receptivity of the educational system to the requirements of the labour market.
The approach of the present paper is a multidimensional one, examining the
interactions between the educational productivity and the employment
requirements. The research is based on some questionnaires which allow a better
understanding of the processes and results of some educational systems, together
with the requirements specific to the labour market. All proofs suggest that the
entities that meet the educational standards, interacting with the market and
promoting change, offer higher chances of employment and better conditions on
the labour force market. The relation education-labour market, based on the
inputs and outputs in the collaboration process, must mainly lead to diminishing
the disparities caused by the continuous change. The present paper aims at
identifying and characterizing certain relations that might occur between the type
and the content of the educational programs, on the one hand, and employment,
on the other hand.
Keywords—education, data analysis, data bases, correlation coefficient
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 150
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
PERFORMANCE IMPROVEMENT OF A
PHOTOVOLTAIC SYSTEM USING A
PROGRAMMABLE MICROCONTROLLER
Daniel Marius Marcu, Florin Gabriel Popescu, Brana-Liliana Samoila,
Razvan Ioan Slusariuc and Titu Niculescu
Abstract—It is well known that solar radiation can vary considerably over the
course of a day or from one day to the next. In this paper we are presenting the
design of a simple MPPT (Maximum Power Point Tracker) charge controller
based on perturb and observe algorithm embedded into Atmega 2560
microcontroller. The voltage of the solar panels operating at their peak power
point at Standard Testing Conditions is 25C° is higher than the battery’s voltage.
As solar module operating temperature goes down, the voltage increases. So, the
MPPT controller is able to capture the excess module voltage to charge the
batteries. As a result, a MPPT controller in low temperature conditions can
produce up to 30%. The charge controller will use the microcontroller, DC-DC
buck boost circuit, sensors that will read the electrical information from the
photovoltaic panel and the battery.
Keywords—algorithm, tracking, controller, conversion, photovoltaic
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 151
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DYNAMIC WEB FOR EFFICIENT
EDUCATIONAL MANAGEMENT
Gheorghe Serban and Florentina Magda Enescu
Abstract—Today’s web applications should not stagnate in front of the native
software, which is available on mobile devices and on the desktop platforms we
are so used to. They must be able to achieve the same quality in the interaction
with the user, while at the same time providing an extremely high level of security
without requiring high costs from the servers.
The article aims - through the use of the most used web technologies - to
illustrate the inception of a software solution meant to improve and facilitate the
students’ relationship with the teaching staff, and also to provide the students
access to their grades, informing them about school announcements and the
didactic materials uploaded on the online platform by the professors. The
platform, built as a dynamic web, allows users to create and post educational
management documents.
Keywords—educational management, databases, Laravel, application
architecture, function state
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 152
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
WEB PLATFORM FOR E-LEARNING
Florentina Magda Enescu, Gheorghe Serban and Mariana Jurian
Abstract—This paper illustrates a way to which the software technologies spur
the development of a web e-learning platform. The method aims to build
consistent web applications, having a better and safer interaction with the user,
while at the same time consuming less hardware resources meant for the server
and ensuring interoperability.
The web platform means an easily usable instrument, which allows the passage
of knowledge to the course takers, thing that is possible by making use of the new
generation software technologies. The transmission of messages and files is
possible from the teacher to the student, and the opposite.
Keywords—Laravel, Database, mod, platform, E-Learning
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 153
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
ONLINE QUIZ IMPLEMENTATION USING
BLOCK CHAIN TECHNOLOGY FOR RESULT
TEMPERING PREVENTION
Valeriu Manuel Ionescu and Elena-Carmen Tentea
Abstract—Online quizzes are often used today in Elearning because they allow
quick updates for both the quiz creation technologies and the quiz contents. There
are many challenges that need to be solved in the domain of online testing,
especially test result data storage, non-repudiation and result tempering
prevention. While many previous papers have focused on the potential of using
novel technologies for enhancing education and online testing, this paper will
showcase the custom build of a system that allows single sign in, creation of
custom quizzes, solving quizzes and result tempering prevention. The technologies
used will be presented: Angular (for interface implementation), Firebase (as the
Real time database) and Blockchain (for result tempering prevention). The
conclusions will outline the challenges of the implementation and plans for future
development.
Keywords—quiz, blockchain, tempering prevention, Firebase, Angular
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 154
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DEVELOPMENT OF A WEATHER MOBILE
APPLICATION IN ANDROID STUDIO
OPERATING SYSTEM
Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia
Novac, Mircea Petru Ursu, Mihai Oproescu and Camelia Maria
Dindelegan
Abstract—The goal of this paper is to find out what are the steps in developing
an application, the difficulty of it and future improvements. With this occasion,
we chose to develop a weather application. A weather application is a very handy
one, with daily usability and can be constantly updated to fit certain needs. Many
people now rely on data directly from their smartphones and the weather forecast
is something indispensable to have. The most commonly used development
environment is Android Studio, the all in one developing tool which ensures full
control on the application development.
Keywords—Android Operating System, Android Studio, weather forecast,
smartphone
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 155
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
OVERVIEW OF E-SERVICES PROVIDING IN
SMART CITIES
Eugen Pop and Sorin Puscoci
Abstract—Smart Cities represents a domain which is of a great interest form
the scientific, economic and political point of view. In many cities, around the
world, a “Smart City” strategy intends to increase the efficiency of the resources
and infrastructures management fulfilling, in the same time, the requirements of
development, inclusion and sustainability. The city authorities and headquarters
are interested to apply procedural and methodological procedures in order to
solve the urban problems more efficiently, to become more sustainable and
competitive by deployed and providing e-services. This paper presents the Smart
City concept and the and an overview of the main eservices types used to deploy
it. In order to support decision-makers, the ITU-T Focus Group for Smart Cities
(FG-SSC) and sustainable, is proposing the development of a set of performance
indicators to highlight how ICT solutions contribute to intelligent cities
implementation.
Keywords—Smart City, e-Services, ICT infrastructure, IoT
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 156
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DEVELOPMENT OF A WEATHER
APPLICATION IN ANDROID AND IOS
OPERATING SYSTEMS
Ovidiu Constantin Novac, Iulian-Ioan Mureșan, Mihaela Cornelia
Novac, Mihai Oproescu, Cornelia Gordan and Gyöngyi Bujdosó
Abstract—This paper is meant for a better understanding of the main mobile
operating systems, Android and iOS, and the overall development of a weather
application, determining the strengths and flaws of each platform. The goal is to
provide a detailed study of the two mobile platforms, how they work, their market
share and the time and costs needed for development.
Keywords—Android OS, iOS, Operating Systems, platform, weather application
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 157
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
A SOLUTION TO IMPLEMENT GROVER
QUANTUM COMPUTATION ALGORITHM
USING THE BINARY REPRESENTATION OF
THE PHASE ON THE FPGA
Laurentiu-Mihai Ionescu, Alin Gheorghita Mazare, Gheorghe Serban,
Ioan Lita and Daniel Alexandru Visan
Abstract—The system proposed in this paper will be used to implement the
Groove quantum computation search algorithm: look in a content addressable
memory and find location for a data. Unlike other solutions implemented in
FPGA, our solution is trying to achieve the performance of a quantum computing
system on resources allocated and search speed.
Keywords—Quantum computing, FPGA, Grover algorithm
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 158
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
COLOR-BASED SORTING SYSTEM FOR
AGRICULTURE APPLICATIONS
Ioan Lita, Daniel Alexandru Visan, Laurentiu Mihai Ionescu and Alin
Gheorghita Mazare
Abstract—This paper presents the design and the implementation of a real-time
color based sorting system that is intended to be used in agriculture applications.
The control part of the system is realized with the versatile microcontroller
Atmega328. The color detection of the analyzed objects is obtained with the
specialized digital sensor TCS230 that contain all the circuitry that is necessary
for converting the light into frequency signal for convenient acquiring and
processing with the microcontroller. The actuation elements of the sorting system
are realized with a set of TowerPro SG90 servomotors which have a very
lightweight construction but are capable to generate relatively high output power.
Being a microcontroller-based system that relies on an advanced color sensor and
dedicated proprietary control software, the proposed sorting system is
characterized by improved reconfigurability and adaptability. The system can be
easily integrated within a very broad spectrum of applications including Internet
of Things or quality control in industrial domain.
Keywords—system, reconfigurability, color sensor, agriculture
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 159
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
DIRECT SEQUENCE SPREAD SPECTRUM
COMMUNICATION MODULE FOR EFFICIENT
WIRELESS SENSOR NETWORKS
Daniel Alexandru Visan, Mariana Jurian, Ioan Lita, Laurentiu Mihai
Ionescu and Alin Gheorghita Mazare
Abstract—In this paper is presented the design and the implementation of a
communication module that is based on the highly efficient direct sequence spread
spectrum transmission technique (DSSS). The proposed system is intended for
applications in the field of distributed wireless sensor networks used for remote
monitoring of physical quantities in multipoint locations placed on large
geographical areas. The implementation solution of the module ensures high noise
rejection and elevated data transmission speed under conditions of good spectral
efficiency. Also, the architecture of the system is compatible with the code division
multiple access technique allowing simultaneously transmission of signals from
multiple sources without significant performance degradation.
Keywords—spread spectrum, communication system, wireless sensor networks
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 160
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Poster
THERMAL AND ELECTRICAL
INVESTIGATION OF GRAPHENE-ENHANCED
CONDUCTIVE POLYLACTIC ACID BASED
FILAMENTS FOR 3D-PRINTING
Andrei Drumea, Robert Alexandru Dobre and Cristina Ioana
Marghescu
Abstract—3d printing technologies have greatly evolved in the last decade,
allowing the construction of complex structures with good mechanical properties
and reduced costs. These aspects are interesting in some areas of electronics
technology, like realization of electrical interconnections and sensors. The 3d
printed structures realized with polylactic acid based filaments are cheaper to
manufacture than standard copper-based technology for interconnects [1] but
resistivity is too high. Presented paper analyzes graphene-enhanced polylactic
acid (PLA) based conductive filament samples that offer lower resistivity. The
variation of the DC resistance with temperature and impedance dependence on
frequency are analyzed. The results in this paper can be used to develop new cost
effective and easy to manufacture applications like printed temperature sensors,
conductive traces, flexible thermal protection circuits, or new cases for electronic
modules that could also act as a temperature fuse besides the default role of
preventing ESD damaging.
Keywords—
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 161
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
TINY NETWORK INTRUSION DETECTION
SYSTEM WITH HIGH PERFORMANCE
Andrei Marius Avram, Mihai Lica Pura and Stefan-Adrian Toma
Abstract—Network Intrusion Detection Systems (NIDS) are a critical
component in any security system and their role is to monitor traffic on a network,
looking for suspicious activity (e.g. attacks, unauthorized activities). Neural
networks have become an increasingly popular solution for implementing
network intrusion detection. Their ability to identify complex patterns and
behaviours have made them a suitable solution for differentiating between normal
and malicious traffic. One of the major problems encountered in implementing
such neural networks is that they are computational and memory expensive and
they can cause massive overhead in small embedded devices. This paper proposes
a deep autoencoded dense neural network for detecting network attacks, trained
and evaluated on NSL-KDD dataset that can satisfy the memory and real time
constraints of such systems. The hyperparameters of the model are tuned, and
three variants with different sizes and accuracies are proposed in order to
produce flexibility in choosing the correct architecture for the desired platform.
Keywords—Intrusion Detection System, Neural Networks, AutoEncoders
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 162
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
WEB GUI FOR AUTOMATING THE FORMAL
VERIFICATION OF SECURITY PROTOCOLS
USING CASPER&FDR4
Andreea Scurtu and Mihai Lica Pura
Abstract—Over the last two decades, Casper&FDR have proved to be two very
important tools in the domain of formal verification of security protocols. Both
their creators and the formal verification community have used these tools to find
attacks on proposed security protocols and to also design fixes for them. This
paper presents a web application developed with the purpose of automating the
use of Casper&FDR, to ease the model checking process based on these tools and
to provide some extra functionality for the analysis of the obtained results in the
form of graphical representation of the verified protocol and on the reported
attacks. The mentioned ongoing importance of these tools has motivated the work
described in this paper and also indicates its potential importance.
Keywords—formal verification, model checking, Casper, FDR4, security
protocols
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 163
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
A DEEP LEARNING BASED INTRUSION
DETECTION SYSTEM ON GPUS
Gozde Karatas, Onder Demir and Ozgur Koray Sahingoz
Abstract—In recent years, almost all the real-world operations are transferred
to cyber world and these market computers connect with each other via Internet.
As a result of this, there is an increasing number of security breaches of the
networks, whose admins cannot protect their networks from the all types of
attacks. Although most of these attacks can be prevented with the use of firewalls,
encryption mechanisms, access controls and some password protections
mechanisms; due to the emergence of new type of attacks, a dynamic intrusion
detection mechanism is always needed in the information security market. To
enable the dynamicity of the Intrusion Detection System (IDS), it should be
updated by using a modern learning mechanism. Neural Network approach is one
of the mostly preferred algorithms for training the system. However, with the
increasing power of parallel computing and use of big data for training, as a new
concept, deep learning” has been used in many of the modern real-world
problems. Therefore, in this paper, we have proposed an IDS system which uses
GPU powered Deep Learning Algorithms. The experimental results are collected
on mostly preferred dataset KDD99 and it showed that use of GPU speed up
training time up to 6.48 times depending on the number of the hidden layers and
nodes in them. Additionally, we compare the different optimizers to enlighten the
researcher to select the best one for their ongoing or future research.
Keywords—deep learning, intrusion detection, optimization functions, IDS on
GPU
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 164
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
ENABLING THE INTEGRATION OF HEALTH-
EMERGENCY ALERT WITH PRIVACY OF
PATIENTS’ LOCATION BASED SERVICES
Imad Ali Hasson, Nicolae Tapus and Algayar Sarmad Monadel S
Abstract—The popularity of Self-service technologies (SSTs) in healthcare has
increased in recent times, for their capabilities in quality improvement. Patients
are more independent in care processes by using SSTs applications, such as
wearable measurement instruments, apps for smart devices or services over the
Internet. These services serve various purposes, such as status logging or
customer interface. The more advanced ones provide smart environments for
supporting patients and follow-up. The main advantage of SSTs is the fast
response to emergencies and improved patient-paramedic communication. The
drawbacks of these technologies refer to concerns about data privacy or
erroneous information provided by the user. This paper proposes fast, flexible,
privacy and secured communication levels for SSTs.
Keywords—Self-services, E-Health, Cloud computing, Privacy, Patients’ location
Services
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 165
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
MEDICAL SOCIAL MEDIA SYSTEMS –
IMPLEMENTATION OF THE ANDROID
APPLICATION
Sarmad Monadel Sabree Algayar, Nicolae Goga, Imad Ali Hassoon and
Mohammed Tali Qasim Almalchy
Abstract—The use of cutting-edge technologies such as the smartphones, smart
bracelets, social media, and m-Health, and also mobile applications has begun to
increase in medicinal services areas, due to factors such as, the low cost, usability,
mobility, multiple uses, and being reliable. This encouraged health institutions, to
increase their investment in healthcare technologies.
This article presents the implementation of an integrated architecture for a
mobile healthcare system, which is called Medical social media system. This
system integrates wearable sensors, smartphones, and oriented social media, so as
to enhance the healthcare services in the Iraqi environment. The system enables
smartphones, running on the Android system and smart-watches. In addition, the
website can be utilized by devices like desktops, notebooks, tablets, and
smartphones which can be utilized maximally for data collection and analysis via
user-system interactivity, utilizes wearable sensors, smartphones that
automatically collect life activities information, such as exercises information like
heart rate, the breathing rate, and body temperature. In order to provide
healthcare services to patients, and medical workers in the Iraqi healthcare
sector, the infrastructure still needs to significantly develop, and medical
information needs to be shared amidst medical workers and to individuals in
general. Moreover, it has been designed to store collected data in a database and
to be able to produce reports to users.
Keywords—M-Health, Social Oriented Networks, Android Applications.
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 166
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
INTELLIGENT SOLUTIONS - BASED
FRAMEWORK FOR DIGITAL PUBLIC
SERVICES. A CASE STUDY FOR SMART
TRANSPORTATION
Marilena Ianculescu, Lidia Bajanaru, Ion Alexandru Marinescu and
Ciprian Dobre
Abstract—Digital technology landscape is continuously improving, dragging
along both the transformation of public services and new demands of citizens.
Emerging new technologies like Artificial Intelligence, Machine Learning, Deep
Learning or Internet of Things provide tremendous means to implement
intelligent solutions for reshaping digital public services. This paper aims to
disclose the most important features of several intelligent technologies and of
these types of public services that can be integrated for providing new capabilities.
An AI-based architecture for supporting digital public services in the smart
transportation sector is presented in order to demonstrate the highlighted ideas
and concepts.
Keywords—digital public services, intelligent technologies, AI, smart
transportation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 167
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
ACCEPTANCE OF THE TECHNOLOGIES
DEPLOYED FOR THE DEVELOPMENT OF
ONLINE PUBLIC SERVICES AND SYSTEMS
USED BY ELDERLY
Adriana Alexandru, Dora Coardos and Eleonora Tudora
Abstract—Accepting new Information and Communication Technologies (ICT)
and online public services is an important issue that is an active subject of
research. The paper addresses models of adoption and acceptance of new
technologies with reference to the elderly. These models are compared in terms of
acceptability factors. The paper also presents an analysis of the challenges and
obstacles regarding the acceptance of technologies by older people. In addition, as
a case study of the technologies, the acceptance the mobile phone by the elderly
and the Senior Technology Acceptance and Adoption Model are presented.
Finally, a set of factors relevant to the acceptance by older users of the mobile
phone is extracted.
Keywords—elderly, acceptance of technology, TAM, UTAUT, STAM, MOPTAM,
online public services
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 168
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
MODELING ECONOMIC INFLUENCE ON
TECHNICAL DECISIONS IN URBAN, IOT-
BASED WATER MANAGEMENT SYSTEMS
Diana-Andreea Arsene, Bogdan-Ionut Pahontu and Valentin-Alexandru
Vladuta
Abstract—Water is one of the most important resources for survival. Nowadays,
there is a continuous preoccupation for optimizing the use of water resources. The
paper presents the model of a decision support system for the optimization of
water consumption, which starts from the definition of different consumer
profiles. In the water resource management system, several stakeholders are
involved: the supplier, the state authority and the consumer, which are linked by
well-defined contractual relationships. Depending on the consumer profile, the
supplier may establish different types of contracts that favor responsible water
use. The system proposes consumer profile oriented scenarios that reflect the
influence of consumer habits on water consumption.
Keywords—Economic Modeling, Management, Water Systems, Wireless Sensors
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 169
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
IMAGE AND VIDEO COMPRESSION
ARTIFACT REDUCTION AT LOW BIT RATES
USING LOCAL COSINE TRANSFORM IN
CONJUNCTION WITH SIGNIFICANCE MAP
CODING
Hakkı Ilgin, Ahmet Akbulut and Aykut Kalaycıoğlu
Abstract—In this study, we present an image and video compression method,
which is efficient at low bit rates and includes local cosine transform (LCT) and
significance map coding. Low bit rate image or video coding causes distortion and
artifacts such as blocking effect, which is induced by block-based discrete cosine
transform (DCT). On the other hand, another block-based method, LCT, which
implements DCT, decreases blocking artifact, because it folds contiguous blocks
before applying DCT. Significance map coding (SMC) achieves better
image/video quality and decreases artifacts when compared to the conventional
DCT coding approach. We apply SMC in conjunction with LCT for further
improvement as shown by the experiments.
Keywords—Local cosine transform, significance map coding, image compression,
video coding
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 170
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
BIOMETRIC SYSTEM BASED ON FACIAL
RECOGNITION
Miruna Elena Trufasila and Petre Anghelescu
Abstract—This work relates to the implementation of an effective face detection
and recognition method that can be used as a module in person identification
depending on features. The algorithm used in the biometric system is devised into
two steps. The first step, called facial detection, is based on Haar cascade
technique - composed of sets of Haar-type features. The second step, called facial
recognition, is based on principal component analyses (PCA) algorithm. The
recognition process is accomplished by converting the current image into feature
vector using PCA technique and then the face is recognized by comparing its
characteristics with the already stored persons. The complete application was
implemented in C# programming language and the results were achieved using
the wireless IP camera of type SM6203.
Keywords—Biometric system, Face detection, HAAR features, Face recognition,
PCA
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 171
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
AUTOMATIC RECOGNITION OF HAND
GESTURES
Cristian Mocanu and George Suciu
Abstract—Developing and implementing a software algorithm for detecting,
recognizing and interpreting hand gestures. The project involves an automatic
real-time image analysis system that recognizes several predefined movements.
The analysis system first involves locating and separating the areas of the image
associated with the hand, followed by the motion classification (recognition).
These movements will be transposed into commands to an integrated device.
Keywords—Hand gestures, Human-Computer Interaction, Commands
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 172
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
SMART CITIZEN – A PARTICIPATORY CO-
CREATOR FOR ENHANCING ONLINE PUBLIC
SERVICES
Marilena Ianculescu, Ovidiu Bica, Alexandru Balog and Irina Cristescu
Abstract—The smart citizen is a citizen not only accustomed with the daily use
of digital technology, but one who feels empowered and entitled to actively
participate at the designing and improving the online public services in his direct
benefit and also for his city advantage. Smart technologies have become a
compulsory driver for establishing a proper foundation inside a smart city. This
paper focuses on presenting the smart citizen as an enabler of better online public
services in the context of a smart city. For illustrating his participative role, a
proposed functional architecture for enhancing online public services is put in.
Keywords—smart citizen, smart city, online public services, smart environment
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 173
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
PAIN RELIEF USING VIRTUAL REALITY
Ioan Alexandru Bratosin, Ionel-Bujorel Păvăloiu, Andrei Vasilăţeanu,
Diana Gavajiuc, George Drăgoi and Nicolae Goga
Abstract—A serious issue in the medical field is the treatment of patients
affected by chronic pain, burns or recovery treatment after an accident or
surgery. The regular treatment is providing the patient with opioid pain relievers
medications that in a wide variety of cases leads to addiction. To prevent the
partial use of pain reducing drugs in patients that suffer from minor to medium
pain and delay their use as much as possible, we propose the use of Virtual Reality
technology. Current technological advances have allowed virtual reality
application to leave their mark in the medical sector by the use of different
training simulators and applications that help the doctors experience from
simulating a variety of surgeries. In this paper we present the effects of Virtual
Reality immersion on patients that suffer mild to medium pain, as well as our
knowledge in the implementation of a virtual reality application that can achieve
a positive effect on this serious issue. A direct benefit of successfully creating an
application would be the reduction in the amount of pain the patient feels. A
second positive effect would be the decrease in the consumption of pain relievers
and a better response of the patient to the recovery treatment without the risk of
becoming depended on opioids.
Keywords—virtual reality, pain relief, pain management
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 174
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
IDENTIFICATION OF CORRESPONDENTS
BETWEEN A STANDARD SERIES
COLLECTION AND AN EXPERIMENTAL
SERIES COLLECTION
Petru Cardei, Sebastian Muraru, Raluca Sfiru and Vergil Muraru
Abstract—The article proposes a method of comparing a collection of series
representing the experimental data characterizing a physical phenomenon with a
collection of series representing data archived in a catalog, of the same
phenomenon, having in addition to the experimental data collection a number of
characteristics for each series included. The goal is to associate each series of the
sample collection of a series in the catalogue collection through a "proximity"
relationship based on a statistical estimator. Once the "closest" series in the
catalogue is determined, for each series in the sample collection, the additional
features corresponding to the catalogue series, "closest", are associated with the
series in the sample collection. The described process is one of the steps that
attempt to improve a method of identifying physical properties of physical
environments or objects.
Keywords—statistic, series, identification, recognition
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 175
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Software, data bases, and computer applications
NUMBER-PLATE RECOGNITION AND
EXAMINATION OF REQUIREMENTS FOR
PUBLIC ROMANIAN ROADS USAGE
Loredana Chiva and George Suciu
Abstract—The increasing number of cars brings upon itself the need of rapidly
check the lawfulness of the drivers. When travelling, there are several legal
obligations a driver have to fulfill according to the law. In Romania, the
authorities enforce the presence of legal documents such vignette, RCA (civil
liability) and PTI/ITP (periodical technical inspection) when being subject to a
routine control. This article aims to present a solution to ease the process of
verification through a software solution which identifies the number-plate and
then verifies in a unified database the availability of the above-mentioned legal
documents. This solution is implemented in Matlab, using correlation factor
between the identified number-plate and a set of characters (the alphabet) to
determine the letters from the plate number. The program is connected to a
database in which are saved the details (vignette, RCA, PTI) of the identified
number, this being used by the authorities to verify the validity of the drivers’
documents.
Keywords—number-plate recognition, computer vision, image processing,
vignette, RCA, PTI, database
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 176
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
MODELLING AND SIMULATION OF A
SINGLE PHASE STANDALONE PV SYSTEM
Zeynep Bala Duranay and Hanifi Guldemir
Abstract—In this paper it was aimed to study a two-stage converter and inverter
for single-phase standalone PV systems for water pumping applications. A
DC/DC boost converter has been used to increase the PV array voltage to that of
the dc link of the DC/AC inverter feeding the single phase induction motor. An
incremental conductance algorithm has been used to control the boost converter
to extract the maximum power from the PV panel. The elements of the single
phase standalone PV system were given in detail. Various characteristics of PV
array have been shown for different parameters. The structure of the boost
converter and single phase inverter were presented. Finally, the modelled single
phase standalone PV system has been simulated with various irradiation and
temperature values. The simulation results were presented.
Keywords—oost converter, photovoltaic, incremental conductance, maximum
power point, single phase inverter
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 177
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
FUZZY SLIDING MODE HYBRID CONTROL
MPPT STRATEGY AND PI CONTROL AS A
CONTROLLER FOR A BATTERY
INTEGRATED WITH PV SYSTEM
Saloua Marhraoui
Abstract—This paper puts forward a new strategy to measure the Maximum
Power Point Tracking (MPPT) of the photovoltaic (PV) systems. A sliding mode
control based on the fuzzy logic controller (fuzzy-sliding mode) is implemented to
a DC/DC boost converter in order to make the PV system more efficient and
worked at the higher performance via determined an MPPT of PV. The Fuzzy-
Sliding Mode control (FSMC) designed to offer robustness, rapid and accurate
convergence to the Maximum Power Point (MPP). A Fuzzy Logic Controller
(FLC) provided, firstly, the reference voltage, and secondly, the sliding mode
control (SMC) realized the stability of the PV system. Moreover, the PI control
which manipulated the buck converter to operate as a charge controller, to charge
the battery fast. PI control is sophisticated as a simple technique; it comes up with
great results. This system was designed and explained in MATLAB/ Simulink.
Keywords—Photovoltaic Panel, Fuzzy-Sliding mode, Lyapunov, MPPT, PI
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 178
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
THE PSO BASED GLOBAL MAXIMUM POWER
POINT TRACKER
Onur Kırcıoğlu, Murat Ünlü and Sabri Çamur
Abstract—The power produced by photovoltaic (PV) module is directly
dependent on solar irradiance. The partial shading occurs when PV modules in
the PV array have different solar irradiance levels. This can significantly reduce
the output power of the PV array. Many maximum power point tracking methods
have been proposed with the aim of extracting maximum power from PV systems.
In recent years, a wide variety of optimization methods have become popular than
conventional methods for performing MPPT. In recent years, wide varieties of
optimization methods have become more popular than the conventional methods,
particularly in order to achieve global maximum power point (GMPPT). The
Particle swarm optimization (PSO) evolutionary technique is a proper
optimization method for GMPPT. This paper proposes a modified PSO based
algorithm for GMPPT. The model of proposed system is built in PSIM and
experimental setup is developed to confirm the effectiveness of the proposed
system. The obtained simulation and experimental results show that the proposed
algorithm can track accurately the global maximum power point of the PV
system. It has high MPPT efficiency and low steady-state oscillations, and
particularly shows good performance under non-uniform irradiation conditions.
Keywords—Particle Swarm Optimization (PSO), Global maximum power point
(GMPP), Non-uniform irradiation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 179
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
AN IMPROVED MODEL DIRECT POWER AND
TORQUE CONTROL OF PWM RECTIFIER-
INVERTER FED INDUCTION MOTOR DRIVE
Mustapha Jamma, Abderrahim Bennassar, Mohammed Akherraz and
Mihai Oproescu
Abstract—This paper investigates the three-phase pulse with modulation
(PWM) rectifier-inverter system based on direct power and torque control
strategy with dynamic performance improvement of DC-link voltage using fuzzy
logic (FL) technique as well as the estimation of the rotor speed by an extended
Kalman filter (EKF) method. Since, rejection of impact of induction motor (IM)
disturbance, control of DC-link voltage and unity power factor achievement with
least harmonics may not be easily handled by proportional-integral (PI)
regulators which are mainly designed for limited control bandwidth. In order to
mitigate these drawbacks, a fuzzy logic controller has been proposed. The
reference value of active power is defined by both output power feed-forward
from inverter side to rectifier side and the reference active power in the rectifier
side. Effectiveness of the control algorithm is examined through several
simulation tests using MATLAB/Simulink environment. As a result, good
performances in steady and transient-state are achieved by the proposed control
strategies for PWM rectifier-inverter system.
Keywords—PWM rectifier-inverter system, fuzzy logic approach, extended
Kalman filter, direct power control, direct torque control, DC-link voltage control,
induction motor
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 180
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
CAPACITOR BANKS PLACEMENT
OPTIMIZATION IMPROVEMENT USING THE
SPERM WHALE ALGORITHM
Ovidiu Ivanov, Bogdan Constantin Neagu, Gheorghe Grigoras and
Mihai Gavrilas
Abstract—The operating conditions in electricity distribution networks become
more complex, as the changes in consumption patterns and the extension of retail
electricity markets change the traditional demand patterns. As the industrial
platforms near cities reduce their activity and the number of residential
customers grows, there is an increasing need for voltage compensation and loss
management in highly loaded MV and LV distribution networks supplying large
residential communities. VAR compensation using capacitor banks remains a
cost-effective solution for this problem. This paper presents an improved method
for loss reduction in MV distribution networks, using an optimal placement of
capacitor banks, with a recently proposed metaheuristic, the Sperm Whale
Algorithm
Keywords—VAR compensation, capacitor banks, Sperm Whale Algorithm, loss
reduction
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 181
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
SMART ENERGY GRIDS USED IN
IRRIGATION SYSTEMS USING THE
BLOCKCHAIN APPLICATIONS
Florentina Magda Enescu, Nicu Bizon and Cosmin Stirbu
Abstract—Blockchain technology has a real disruptive potential for a wide
range of industries. But not every industry is likely to be remodeled by the
blockchain.
In the case of irrigation systems, the current technological opportunities as well
as the challenges with which the final customer is confronted and how a new
decentralized architecture could create are valuable to him.
Such a system faces a high energy consumption in the drought-prone months.
In this paper we propose a study on the possibility of using photovoltaic energy
to feed a long abandoned land improvement system that is in an unusable state at
this time. However, this system can be very effective for small producers in the
area who are unable to use an irrigation system in the summer dry months.
The proposed method would attract a large number of small producers by
creating associations that by appropriate management can bring a surplus value
and the investment could be depreciated in a relatively short time.
Keywords—agriculture, association, blockchain, citect SCADA, irrigation system,
photovoltaic panels, photovoltaic park energy balance, microgrid
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 182
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
USE OF BLOCKCHAIN TECHNOLOGY IN
IRRIGATION SYSTEMS OF SMALL
FARMERS' ASSOCIATION
Florentina Magda Enescu, Nicu Bizon and Valeriu Manuel Ionescu
Abstract—Traditionally, the energy industry has been slow in adopting new
technologies and the transition to a new energy market will require a new
approach by all parties involved in the energy market. Although it is a hard-to-
accept scenario, especially by the big players on the power market, the pilot
projects so far demonstrate that blockchain can play a major role in the future
energy market, even if the technology is still immature from the conceptual point
of view.
This article attempts to bring solutions to support small farmers in allowing
them to use irrigation systems. It proposes to create associations of small farmers
to manage this situation. For this purpose, it is proposed to use green energy using
photovoltaic panels. The efficiency of the proposed system will be monitored not
only by the location and type of photovoltaic panels, but also by using the new
blockchain technology that stimulates innovation and growth in the energy,
climate and environment sectors.
To accelerate the transition to the green energy economy, a SolarCoin version
similar to the Bitcoin cryptomonade is also proposed.
Keywords—irrigation system, floating photovoltaic panels, SCADA, blockchain of
the association, green energy, SolarCoin
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 183
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
A SIMPLE METHOD OF MODELING THE PV
CELL FROM A SINGLE CURRENT-VOLTAGE
CURVE
Marian Raducu
Abstract—In this paper is presented a simple method to extract the parameters
of a photovoltaic (PV) cell model using a simple current-voltage curve. The
experimental results for current-voltage curve are obtained from the constant
illumination level of the PV cell. The using model of PV cell is the single-diode
model and contained five parameters: Iph – the current generated by light in PV
cell, I0 – the dark saturation current of the diode, n – the ideality factor of the
diode, Rs – the series resistance, and Rsh – the shunt resistance. The proposed
method has been applied for a monocrystalline Si 6 inch PV cell. In order to
validate the proposed models, the parameters were used in the Spice simulation.
Keywords—PV cell model, single-diode model, Spice simulation
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 184
ECAI 2019 - International Conference – 11th Edition
Electronics, Computers and Artificial Intelligence
27 June -29 June, 2019, Pitesti, ROMÂNIA
Workshop on Renewable Hybrid Power System
FEASIBILITY OF A MICRO GRID SCALE UP
AT CAMPUS LEVEL - CASE STUDY
Dorin Let, Bogdan Ionuț Tene, Adela-Gabriela Husu, Mihail-Florin
Stan, Laurentiu Marian Stancu and Andreea Let
Abstract—This paper presents an applicative study designed to analyze PV
power system energy installed at the UVT Campus' energy autonomy. The case
study, analyzes the results obtained from the operation of the pilot building of the
Institute of Multidisciplinary Research for Science and Technology (ICSTM).
This building was designed and built according to worldwide directions in the
areas of Near Zero Energy Building (nZeb) and buildings with scientific research
laboratories specifics. The particular / specific problem, both at the constructive
and installations levels, of great complexity, had been assessed and dimensioned
at the level of energy balance with energy input obtained through Building
Integrated Photovoltaic’s (BIPV) technologies. The experimental results obtained
demonstrate the achievement of very high levels of efficiency and economy in 2017
compared to the previous baseline year. Therefore, by consuming more efficiently
and improving the PV absorption efficiency, savings of ~ 7800 Eur / 33% less
energy absorbed from the national network (SEN) were achieved.
Keywords—automatic control, centralized control, distributed power generation,
energy efficiency, photovoltaic systems
978-1-7281-1624-2/19/$31.00 ©2019 IEEE 185