18th international conference cce 2021

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CCE 2021

Final Program

Part Number USB: CFP21827-USB

ISBN USB: 978-1-6654-0028-2

Part Number Xplore Compliant: CFP21827-ART

ISBN Xplore Compliant: 978-1-6654-0029-9

Online ISSN: 2642-3766

2021 18th International Conference on Electrical Engineering, Computing Science and Automatic

Control

CCE

Virtual and Online Conference

Mexico City. Mexico

November 10 – 12, 2021

https://cce.cinvestav.mx/

2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

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TABLE OF CONTENTS

INTRODUCTION ................................................................................................................................................................................... 3

CONFERENCE COMMITTEES ................................................................................................................................................................. 5

GENERAL INFORMATION ................................................................................................................................................................... 12

SPECIAL THANKS TO .......................................................................................................................................................................... 14

KEYNOTE SPEAKERS .......................................................................................................................................................................... 15

SCHEDULE ......................................................................................................................................................................................... 19

TECHNICAL PROGRAM ....................................................................................................................................................................... 20

AUTOMATIC CONTROL (AC) ............................................................................................................................................................................. 20 AUTONOMOUS NAVIGATION - EXOSKELETONS ..................................................................................................................................................... 21 BIOMEDICAL ENGINEERING/ BIOMIMETICS (BIO) ................................................................................................................................................. 22 COMPUTER SCIENCE AND COMPUTER ENGINEERING (CS) ....................................................................................................................................... 23 MECHANICAL ENGINEERING (MEE) ................................................................................................................................................................... 25 MECHATRONICS (MEC)................................................................................................................................................................................... 25 NANOTECHNOLOGY (MATERIALS AND APPLICATIONS) (NANO) .............................................................................................................................. 26 POWER ELECTRONICS /COMMUNICATIONS SYSTEMS ............................................................................................................................................. 27 SOLID-STATE MATERIALS, ELECTRON DEVICES AND INTEGRATED CIRCUITS (SSM) ....................................................................................................... 27

ABSTRACTS ....................................................................................................................................................................................... 30

AUTOMATIC CONTROL (AC) ............................................................................................................................................................................. 30 AUTONOMOUS NAVIGATION- EXOSKELETONS (AU) .............................................................................................................................................. 34 BIOMEDICAL ENGINEERING/ BIOMIMETICS (BIO) ................................................................................................................................................. 35 COMPUTER SCIENCE AND COMPUTER ENGINEERING (CS) ....................................................................................................................................... 39 MECHANICAL ENGINEERING (MEE) .................................................................................................................................................................. 43 MECHATRONICS (MEC)................................................................................................................................................................................... 44 NANOTECHNOLOGY (MATERIALS AND APPLICATIONS) (NANO) .............................................................................................................................. 47 POWER ELECTRONICS (POW)/ COMMUNICATIONS SYSTEMS (COMM) ................................................................................................................... 49 SOLID-STATE MATERIALS, ELECTRON DEVICES AND INTEGRATED CIRCUITS (SSM) ...................................................................................................... 50

APPENDIX ......................................................................................................................................................................................... 55

Author Index .......................................................................................................................................................................................... 55 Author Information ............................................................................................................................................................................... 69 Keywords ............................................................................................................................................................................................... 78


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INTRODUCTION

2021 18TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE) Mexico City, Mexico

Almost two years with the global pandemic for the COVID-19, with important affections on our human, social, economic, academic and working activities. This year the Program Committee and Organization of the 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE2021) have decided to celebrate a second virtual conference with all authors and participants.

Once more time, the registration fee will be free of charge for all virtual authors and attendees to the conference.

The final list of articles published in IEEE Xplore will be only those adequately presented and defended for discussion at the conference.

CCE2021 sincerely thank to all Authors, Program Chairs, Reviewers and Technical Staff for your commitment and support.

We look forward to being able to offer you the same scientific conference and technical discussions on plenary lectures, technical sessions and interactions using virtual media.

The opening event, plenary conferences and technical sessions will be held on-line and virtual, using our institutional platform on Microsoft Teams. The conference schedule will be on November 10-12, 2021.

More information about registration, presentations and instructions to remotely connect and attend the conference will be given in our webpage https://cce.cinvestav.mx/

Best regards,

Dr. Gerardo Silva-Navarro (Electrical Engineering) Dr. Wen Yu-Liu (Automatic Control) Dr. Sergio Salazar-Cruz (UMI LAFMIA-Cinvestav-CNRS)

https://cce.cinvestav.mx/


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Editorial

This year we are celebrating the 18th International Conference, and the twelfth edition in which its organization includes the participation of the Departments of Electrical Engineering, Automatic Control and UMI-LAFMIA-CNRS 3175 (International Mixed Unit, Franco-Mexican Laboratory of Computing and Automatic Control, French National Center for Scientific Research (Centre National de la Recherche Scientifique)), at CINVESTAV. This conference began in 1995 as a National Conference on Electrical Engineering and changed its status as an international conference in 2004.

The conference remains as a specialized forum, where local research groups can present their recent results and proposals, interact with each other, and have the opportunity to become aware of the recent research and developments from leading institutions abroad, too. The interaction with technological industry managers and government officers keeps a special place in the activities of the conference. This year we received 128 submissions from 28 countries (including Mexico), from which 88 were accepted for oral presentation. We received submissions from countries such as Algeria, Argentina, Bangladesh, Brazil, Canada, China, Colombia, Egypt, France, Germany, Greece, Hong Kong, India, Ireland, Italy, Mexico, Netherlands, Pakistan, Philippines, Romania, Russia, Saudi Arabia, Spain, Taiwan, Turkey, United Kingdom, United States, among others, thus reflecting the international character of the conference.

As Presidents of CCE2021, we wish to thank the Organizing Committee, the Anonymous Referees and the Supporting Personnel for their valuable time and effort, which have made possible to hold a successful 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE2021). We also wish to give special thanks to the authorities of CINVESTAV, IEEE, the IEEE Electron Devices Society and to our International Program Committee for all their valuable help and support.

To all our virtual attendees and participants, we give them a warm welcome to the CCE2021 at Mexico City, Mexico, wishing to all a very fruitful and enriching conference, hoping that all their expectations be fulfilled.

Dr. Gerardo Silva Navarro (Electrical Engineering-CINVESTAV) Dr. Wen Yu Liu (Automatic Control- CINVESTAV) Dr. Sergio Salazar Cruz (UMI - CINVESTAV)


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CONFERENCE COMMITTEES

General Chairs:

Dr. Gerardo Silva Navarro Chair of Electrical Engineering

Department CINVESTAV-Unidad Zacatenco

Dr. Wen Yu Liu Chair of Automatic Control

Department CINVESTAV-Unidad Zacatenco

Dr. Sergio Salazar Cruz Chair of UMI Department

CINVESTAV-Unidad Zacatenco

Program Chairs

Automatic Control Dra. Ofelia Begovich Mendoza

CINVESTAV- Unidad Guadalajara

Biomedical engineering Dra. Blanca Tovar Corona

Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas -

UPIITA - IPN

Communications Systems Dr. Marco Aurelio Cárdenas Juárez Universidad Autónoma de San Luis

Potosí

Computer science and computer engineering

Dr. Miguel Morales Sandoval CINVESTAV- Unidad Tamaulipas

Mechatronic Dr. Alejandro Rodríguez Ángeles

CINVESTAV- Unidad Zacatenco

Solid-state materials, electron devices and integrated circuits Chair Dr. Alejandro Díaz Sánchez

Instituto Nacional de Astrofísica, Óptica y Electrónica


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Nanotechnology (Materials and Applications)

Dra. Araceli Romero Núñez CINVESTAV- Unidad Zacatenco

Mechanical Engineering Dr. Manuel Arias Montiel

Universidad Tecnológica de la Mixteca

Aeronautics and Aerospace Engineering

Autonomous Navigation-Exoskeletons Dra. Nadia Vanessa García Hernández

National Council of Science and Technology

Power Electronics Dr. Adrián René Ramirez López

IPICYT - Instituto Potosino de Investigación Científica y Tecnológica


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Program Committee

Name Organization Adan Jose-Garcia University of Exeter Adrian Ramírez Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías

Avanzadas - IPN

Adrián Ramírez IPICYT - Instituto Potosino de Investigación Científica y Tecnológica

Adrián Navarro Monterrey Institute of Technology and Higher Education

Adriana Benitez-Rico Universidad La Salle México Alberto Ramirez Instituto Tecnológico superior de Cajeme Alberto Garcia Robledo CONACYT Aldo Muñoz Texas A&M University Alejandro Díaz Sánchez INAEO Alejandro Rodríguez Angeles CINVESTAV - Zacatenco Alejandro Silva Instituto Nacional de Astrofísica, Optica y Electrónica (INAOE)

Alejandro Gutierrez-Giles UNAM Alejandro Galaviz-Mosqueda CICESE Alfonso Pérez-González Centro de Enseñanza Técnica Industrial Alfredo Ramírez-García Universidad Autónoma de Aguascalientes Alicia Morales Reyes Instituto Nacional de Astrofisica, Optica y Electronica America Morales CINESTAV SALTILLO Anand Sanchez CINVESTAV IPN Andres Mendez-Vazquez CINVESTAV IPN Andrés Blanco Ortega Centro Nacional de Investigación y Desarrollo Tecnológico

Antonio Ramirez CINVESTAV IPN Antonio Valderrabano-Gonzalez Universidad Panamericana Anuar Badillo Tecnológico Nacional de México, campus Zacatecas Norte Araceli Romero Nuñez CINVESTAV IPN Arturo Vera CINVESTAV IPN Bernardino Castillo CINVESTAV IPN Blanca Tovar Corona UPIITA - IPN Carlos Alvarado-Serrano CINVESTAV IPN Carlos Aguilar CIC-IPN Carlos Izaguirre UANL Carlos Garcia Universidad Tecnológica de la Mixteca Carlos Hernández-Gracidas CONACYT Carlos Murguia Eindhoven University of Technology Carlos Alberto Cruz-Villar CINVESTAV-IPN Carlos Andres Lara-Nino CINVESTAV IPN Carlos Omar González CU-UAEM-VM Carlos Renato Vázquez Tecnologico de Monterrey Carolina Hernández Navarro Instituto Tecnológico de Celaya Citlalli Tujillo Romero Erasmus MC-cancer center


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David Gómez Intel Diana Bueno IPN Diego Langarica-Córdoba UASLP Eduardo Rodriguez Angeles Universidad Autonoma del Estado de Mexico, Facultad de Ingenieria

Edwyn Javier Aldana Bobadilla CINVESTAV IPN Enrique Stevens-Navarro Autonomous University of San Luis Potosi Erick De La Rosa de La Rosa Montero UPIITA-IPN Ernesto Olguín Díaz CINVESTAV IPN Esther Lugo González Universidad Tecnológicoa de la Mixteca Eugenia Paola Arévalo-López Facultad de Ciencias - UNAM Fátima Oliva CIMAT Felipe Gomez-Castaneda CINVESTAV IPN Fernando Ornelas Universidad Michoacana de San Nicolás de Hidalgo Francisco De Anda Instituto de Investigación en Comunicación Óptica Universidad

Autónoma de San Luis Potosí.(IICO-UASLP)

Francisco Jurado INSTITUTO TECNOLOGICO de la Laguna Francisco Beltrán-Carbajal Universidad Autónoma Metropolitana. Unidad Azcapotzalco.

Francisco Javier Espinosa-Garcia Universidad Tecnológica de la Mixteca Francisco Javier Villalobos Piña Instituto Tecnológico de Aguascalientes Francisco Ruben Castillo-Soria Universidad Autónoma de San Luis Potosí G. Eduardo Sandoval-Romero Centro de Ciencias Aplicadas y Desarrollo Tecnologico/UNAM

Gerardo Silva-Navarro CINVESTAV IPN Gregorio Zamora Mejia Centro de Investigacion en Micro y Nanotecnologia

Heidy M. Marin-Castro UAT Ignacio Zaldivar INAOE Ignacio Algredo Badillo INAOE Isela Bonilla-Gutierrez Universidad Autónoma de San Luís Potosí Izlian Orea IPN J. Alejandro Vasquez-Santacruz Universidad Veracruzana Jaime Alvarez CINVESTAV-IPN Jaime González-Sierra CINVESTAV IPN Janeth Alcala Universidad de Colima Javier Ruiz CINVESTAV IPN Javier Pérez-Ramírez Instituto Tecnológico de Sonora Javier Ortiz Hernandez CENIDET Jessica Cantillo-Negrete Instituto Nacional de Rehabilitacion Jesús Linares-Flores UTM Joaquin Alvarez CICESE Joel Molina National Institute of Astrophysics, Optics and Electronics Jonatan Pena Ramirez CICESE Jorge Delgado Aguiñaga CINVESTAV-IPN Unidad Guadalajara Jorge Evaristo Conde Diaz Universidad deCiencias y Artes de Chiapas Jorge Sergio Narro Ríos UNAM


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Jose De Jesus Agustin Flores Cuautle CONACYT-Tecnologico Nacional de Mexico/I.T. Orizaba

Jose Hugo Barron Zambrano Universidad Autonoma de Tamaulipas Jose Jimmy Jaime-Rodriguez Autonomous University of San Luis Potosi Jose Juan Garcia-Hernandez CINVESTAV IPN Jose Luis González Compeán CINVESTAV IPN José Luis González Vidal Universidad Autónoma del Estado de Hidalgo Jose Miguel Rocha-Perez INAOE José Pedro Sánchez Santana Universidad Politécnica de Puebla Jose Ramon Rodriguez-Cruz UANL Jose Saul Arias Ceron SEES - CINVESTAV Jose-Antonio Medina-Hernandez CINVESTAV, UAA Juan Segundo Ramirez UASLP Juan Diego Sánchez-Torres CINVESTAV IPN Juan Gonzalo Barajas Ramírez IPICYT Juan Humberto Sossa Azuela CIC-IPN Juan Manuel Jacinto-Villegas CONACYT Julieta Garcia

Julio Noe Hernandez Torres Dublin City University Karthick Sekar Centro de Investigación y de Estudios Avanzados del Instituto

Politécnico Nacional (CINVESTAV-IPN) Laura Cruz Instituto Tecnologico de Cd. Madero Laura-Ivoone Garay-Jiménez UPIITA Lizeth Lopez-Lopez Autonomous University of San Luis Potosi Luis Díaz IPICYT Luis Alberto Morales Rosales Conacyt-Universidad Michoacana de San Nicolás de Hidalgo

Luis Alejandro Marquez-Martinez CICESE Research Center Luis Enrique González-Jiménez ITESO AC Luis Javier Ontanon UASLP Luz Noe Oliva INSTITUTO POLITECNICO NACIONAL Manuel Arias Montiel Universidad Tecnológica de la Mixteca Manuel Navarro Tecnológico de Monterrey Manuel Arias-Montiel Universidad Tecnológica de la Mixteca Manuel Alejandro Perez Guzman CINVESTAV IPN Marco Mendoza Universidad Autonoma de San Luis Potosi Marco Antonio Arteaga Perez UNAM Marco Aurelio Cárdenas Juárez Universidad Autónoma de San Luis Potosí Mario Gonzalez Universidad Autonoma de San Luis Potosi Martin Velasco Vila CINVESTAV IPN Martin Romero Universidad Nacional Autónoma de México Miguel Morales Sandoval CINVESTAV TAMAULIPAS Miguel García Physics Department/Cinvestav Miguel A. Ruiz-Gómez CINVESTAV IPN Modar Shbat Saint Mary's University Monica Vazquez Hernandez IIMAS-UNAM


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Nadia Vanessa Garcia Hernandez National Council of Science and Technology Nadia Vanessa Hernandez Center for research and advanced studies of Mexico Nancy Visairo Universidad Autonoma de San Luis Potosi Nancy Ramirez Universidad de Guadalajara Nancy Vargas IPN Noemi Corro-Valdez Universidad Politécnica del valle de México Octavio Garcia Salazar CIIIA-FIME-UANL Ofelia Begovich Mendoza CINVESTAV - GUADALAJARA Otniel Portillo Rodríguez Universidad Autónoma del Estado de México Pablo Rogeli CINVESTAV IPN Paris Kitsos TEI Western Greece Rafael Peña Universidad Autónoma de San Luis Potosí Rafael Aguilar-Gonzalez Autonomous University of San Luis Potosi Raul Martinez-Memije Instituto Nacional de Cardiologia Raúl Antonio Aguilar Vera Universidad Autónoma de Yucatán- Facultad de Matemáticas

Raúl Dalí Cruz Morales UNAM Rene Luna Garcia CIC - IPN Ricardo Casas CINVESTAV GDL Ricardo Bolaños-Pérez Instituto Nacional de Astrofísica Óptica y Electrónica Ricardo Landa CINVESTAV Tamaulipas Ricardo Tapia-Herrera CONACYT Riemann Ruiz Cruz CINVESTAV-IPN, Guadalajara Campus Rita Fuentes Tecnológico de Monterrey Rodrigo Loera Palomo CONACYT -- Instituto Tecnológico de la Laguna Rogelio Portillo UV Roger Castillo Palomera Universidad Juárez Autónoma de Tabasco Ruben Garrido CINVESTAV-IPN Ruben Tapia-Olvera Universidad Nacional Autónoma de México Salvador Mendoza-Acevedo Centro de Investigación en Computación-IPN Salvador Ivan Garduño Centro de Investigación y de Estudios Avanzados del Instituto

Politecnico Nacional

Sandra Arias-Guzmán EC-Service Stefano Di Gennaro University of L'Aquila Ulises Pineda-Rico Universidad Autónoma de San Luis Potosí Varinia Fragoso Rubio None Vicente Parra Vega Robotica y Manufactura Avanzada, CINVESTAV-IPN Víctor Araujo Instituto Nacional de Rehabilitación Wilfrido Gómez Centro de Investigación y de Estudios Avanzados del I.P.N. Yasuhiro Matsumoto CINVESTAV IPN Yesenia E. Gonzalez-Navarro Instituto Politécnico Nacional - UPIITA Yuriy Kudriavtsev CINVESTAV-IPN Zobeida Jezabel Guzman Zavaleta Universidad de las Américas Puebla


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Invited Program Committee (Subreviewers)

Name Alejandra De La Guerra Cruz-Antonio Arteaga-Escamilla David Arturo Soriano Valdez Dolores Lara Erick Dasaev De la Rosa Montero Erick Padilla Héctor Culebro Horacio García Hugo G Gonzalez-Hernandez Hugo Germán Reyes Anastasio Ildeberto De Los Santos Ruiz Izlian Orea Flores José Luis Echenausía Monroy Marco A. Moreno Armendáriz Mónica Vázquez Hernández Ollin Penaloza-Mejia Ricardo Cuesta Victor Santibanez

Session Chairs Dr. Rubén Garrido Moctezuma Dr. Javier Ruiz León Dr. Antonio Ramírez Treviño Dra. Fátima Oliva Dra. Blanca Tovar Corona Dra. Alicia Morales Reyes Dr. Wilfrido Gómez Flores Dr. Miguel Morales Sandoval Dr. Manuel Arias Montiel Dr. Alejandro Rodríguez Ángeles Dr. Jesús Linares-Flores Dra. Eugenia Paola Arévalo-López Dr. Adrián René Ramirez López Dr. José Santos Cruz

Dr. Yasuhiro Matsumoto Dr. Griselda Stephany Abarca-Jiménez

Room Managers Arturo Gonzalez Mendoza Iván Hernández González Jorge Armando Ramírez Díaz Yarai Tlatelpa Samuel Omar Tovías Alanís Valente Espinosa Islas

Finance Chair Alma Angélica Andrade Carta

Registration and Publication Chair MSc. Graciela Judith Esparza Azcoitia

Signatory for the non-IEEE Sponsor MSc. M.AP. Andrés Hernández Pineda

Logistics manager MSc. Graciela Judith Esparza Azcoitia

Technical Staff Valente Espinosa Islas


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GENERAL INFORMATION The 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE2021) is organized by the Departments of Electrical Engineering , Automatic Control, UMI (Unite Mixte Internationale) of CINVESTAV.

After much time and considerations about the global pandemic due to COVID-19 and its consequences on human, social, academic and working activities, the Program Committee and Organization of the 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE2021) decided to celebrate a virtual conference with all authors and participants.

The CCE2021 conference will take place on November 10-12, 2021, in Mexico City time zone CINVESTAV: Centro de Investigación y de Estudios Avanzados del Instituto Politénico Nacional Address: Av. Instituto Politécnico Nacional No. 2508 (corner with Av. Ticomán), Col. San Pedro Zacatenco, C.P. 07360 Alcaldía Gustavo A. Madero Mexico City. MEXICO Cinvestav was created in 1961 by a presidential decree as a public agency with legal personality and its own assets. Its founding director, Dr. Arturo Rosenblueth, prompted a formal demand that has resulted in the success of the institution. The Cinvestav has twenty-eight research departments that are distributed in nine campuses throughout Mexico. In Cinvestav is carried out research in different areas of science and technology, which improve the living standards and promote the development of the country. Cinvestav has different research topics in different areas of knowledge, such as Natural Sciences, Life Sciences and Health, Technology and Engineering Sciences and Social Sciences and Humanities. The Departments of Electrical Engineering and Automatic Control are dedicated to do basic and applied research in diverse areas. Both Departments offer Msc and PhD degrees in their research areas. Electrical Engineering Department

• Biomedical Engineering • Communications Systems • Solid State Materials, Electron Devices and

Integrated Circuits • Mechatronics • Engineering Projects

Information: http://www.ie.cinvestav.mx Phone: +52 (55) 5747 3800 Ext. 6505

Automatic Control Department • Mathematic Theory of Automatic Control • Artificial Vision • Robotics • Biomathematics • Advanced Topics of Modern Mathematics • Identification and State Estimation of Dynamic

Systems • Control of Technological Processes

Information: http://www.ctrl.cinvestav.mx/ Phone: +52 (55) 5747 3795

UMI Laboratory

An International Mixed Unit (UMI), Laboratory is dedicated to do basic and applied research in diverse areas, offer Msc and PhD. degrees in their specialties.

The research areas of the doctoral program will be grouped into 4 Lines of Knowledge Generation and Application (LGAC)

• Unmanned Aerial Vehicles

http://www.ie.cinvestav.mx/





http://www.cinvestav.mx/

http://www.cinvestav.mx/


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• Autonomous Mini-Submarines • Navigation Algorithms for Autonomous Vehicles • Communication Systems for Autonomous Vehicles

The last two LGACs allow the natural integration of researchers who until now have worked mainly on theoretical aspects of Automatic Control or Communications Theory.

Information:

https://umi.cinvestav.mx/ Phone: +52 (55) 5747 3800 Ext. 4061

https://umi.cinvestav.mx/


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SPECIAL THANKS TO Dr. José Mustre de León General Director, CINVESTAV-IPN Dr. Gabriel López Castro Academic Secretary, CINVESTAV-IPN Dr. Martha Espinosa Cantellano Planning Secretary, CINVESTAV-IPN Lic. Jesús Corona Uribe Administrative Secretary, CINVESTAV-IPN Institute of Electrical and Electronics Engineers IEEE Electron Devices Society EDS Centro de Investigación y de Estudios Avanzados del I.P.N. CINVESTAV-IPN


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KEYNOTE SPEAKERS

Prof. Gildas Besançon, PhD Professor Grenoble INP / GIPSA-lab France http://www.gipsa-lab.grenoble-inp.fr/~gildas.besancon/ November 10th, 2021 10:00-11:30

Title: From observers macro scopes to microscopes applications Abstract State observers have proved to be very efficient tools for information reconstruction in dynamical systems since R. E. Kalman introduced them at the end of 1950's. They have been constantly developed and improved from that time on, with a growing number of successfull applications. After recalls on their various features and interests, this talk will more particularly focus on applications in the field of so-called scanning probe microscopy, which appeared in the 1980's with the invention of Scanning Tunneling Microscope by Nobel Price winners G. Binnig and H. Rohrer, and which has been attracting an increasing attention even in the control community for the past two decades, within the challenging context of submicronic research. Short-Bio Gildas Besançon received an MSc in Electrical Engineering in 1993, and a PHD degree in Control in 1996, both in Grenoble, France. After a stay at Rome University La Sapienza, Italy, he joined the Institut National Polytechnique de Grenoble in 1998. He got the French degree of ‘Habilitation à Diriger des Recherches’ in 2002, and became a full professor at Grenoble INP in 2010, to which he is still currently affiliated. Between 2010 and 2015, he also held a nationally distinguished position at the Institut Universitaire de France, and remains part of its honorary members. He serves in various IFAC and IEEE committees as well as editorial boards, and has been continuously active - and still is, in various industrial projects. He is the author or co-author of more than 270 international peer-reviewed papers, and about 20 book chapters. He is also the editor of the Springer book ‘Nonlinear observers and applications’, and he supervised or co-supervised more than 20 PHD students. His research activities are held at the Control and Diagnosis Department of Gipsa-lab - where he was the head of a research group on 'nonlinear and complex systems' between 2011 and 2020, and these activities address various topics about such systems, with a special interest in observer issues, and applications in energy, hydraulics, or micro/nano-sciences.

http://www.gipsa-lab.grenoble-inp.fr/%7Egildas.besancon/


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Prof. Jinjun Shan, PhD Professor and Chair Department of Earth and Space Science and Engineering York University Toronto, Canada https://esse.lassonde.yorku.ca/people/faculty/shan-jinjun/ November 11th, 2021 11:30-12:30

Title: Adaptive Game-Theoretic Decision Making for Autonomous Driving Vehicles Abstract Within half a century, autonomous driving vehicles, together with human-driven vehicles, will be employed in traffic scenarios, where the interactions of those vehicles will constantly occur. In these situations, the action of one car is dependent on the intentions of other cars, and vice versa, thus exhibiting rich dynamic behaviors. In this work, we apply deep reinforcement learning along with game theory to model decision-makers with different reasoning levels in unsignalized intersections. What distinguishes our method from the existing studies is that all the drivers in a multi-move scenario make strategic decisions simultaneously, instead of modeling the autonomous driving vehicle as a decision-maker and assuming predetermined actions for the rest of the drivers. In addition, our method relies solely on the vehicle’s sensor, without assuming any coordination, communication, or shared control with the surrounding cars. Experiments are performed to validate the performance of the autonomous driving vehicles in dynamic and interactive environments.

Short-Bio

Dr. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He joined York University as an Assistant Professor of Space Engineering in 2006 and was promoted to AssDr. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He received his Ph.D. degree from Harbin Institute of Technology, China, in 2002. Dr. Shan joined York University as an Assistant Professor of Space Engineering in 2006 and was promoted to Associate Professor in 2011 and Full Professor in 2016. Since 2018, he has been appointed to the Chair of Department of Earth and Space Science and Engineering. Prior to his appointment in York, he was a Post-Doctoral Fellow at the University of Toronto Institute for Aerospace Studies (UTIAS) and City University of Hong Kong. He has attracted over $5 million in research funding from various governmental agencies and industry partners. His pioneering research work has led to over 170 peer-reviewed journal and conference publications and 2 issued patents. Dr. Shan’s accomplishments in research and engineering education have seen him recognized with prestigious recognitions such as the Fellow of Engineering Institute of Canada (EIC), the Associate Fellow of AIAA, Alexander von Humboldt Fellowship, JSPS Fellowship, York Research Leader Awards, and Excellent in Teaching Award. He serves as the Associate Editor for several field-leading journals including IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, and the Journal of Franklin Institute, as well as numerous conference chairs. He is the founding director of Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab) at York University.

https://esse.lassonde.yorku.ca/people/faculty/shan-jinjun/


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Prof. Des McLernon, PhD School of Electronic and Electrical Engineering The University of Leeds United Kingdom https://eps.leeds.ac.uk/electronic-engineering/staff/98/dr-des-mclernon November 12th, 2021 11:30 – 12:30

Title: An Introductory Tutorial (From an Engineering Perspective) on the Maths Behind Covid-19

Abstract:

My research and publications over many years has been in signal processing and wireless communications. But the last twenty months have changed our perspectives and just for this talk I would like to look at something very different.

Because of the new virus severe acute respiratory syndrome 2 (SARS-CoV-2) and its associated disease (COVID-19), we have sadly all become familiar with words like ‘test accuracy’, ‘sensitivity’, ‘specificity’, ‘R-number’, ‘false positives/negatives’, ‘vaccine efficacy’, herd immunity, etc.

But the maths behind many of these terms, and in particular those associated with the virus testing process, are very similar to concepts from an undergraduate engineering degree when dealing with binary decisions in digital communications, radar or sonar. But often different disciplines confusingly use different terminology for the same basic concepts!

So in this tutorial, I will start by putting COVID-19 in historical context (including terms like R and K numbers, SIR model, herd immunity, etc.) and then look at how we can view the virus testing process and analyse its performance with the binary symmetrical channel (BSC) familiar to all engineering undergraduates studying digital communications. Using the BSC I will derive performance measures, suggest improvements and also show how even the receiver operating curves (ROCs) from radar and sonar can be useful.

But notwithstanding the rigour of all the scientific methods used in the testing/analysis/modelling the spread of covid-19, conspiracy theorists around the world still claim that the whole pandemic is being manipulated by a “sinister new world order” headed by Bill Gates. They claim that he seeks to depopulate the earth and impregnate (and control) us with microchips through the covid-19 vaccine while radio frequency signals from 5G will destroy DNA and actually spread covid! I’ll touch on the danger of these ideas that hinder nearly full vaccination/herd immunity and show how they can be countered notwithstanding the support of fellow travellers like ex US President Donald Trump.

Finally – this introductory tutorial assumes no prior mathematical knowledge above first year university engineering degree level.

https://eps.leeds.ac.uk/electronic-engineering/staff/98/dr-des-mclernon

https://eps.leeds.ac.uk/electronic-engineering/staff/98/dr-des-mclernon


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Short-Bio:

Des McLernon received his B.Sc in electronic and electrical engineering and his MSc in electronics, both from the Queen’s University of Belfast, N. Ireland. He then worked on radar systems research and development with Ferranti Ltd in Edinburgh, Scotland and later joined Imperial College, University of London, where he took his PhD in signal processing. His research interests are broadly within the domain of signal processing for wireless communications (in which area he has published over 340 journal and conference papers). He has supervised over 50 PhD students and is associate editor of IET journal “Signal Processing”. Recent conference organisation includes IEEE SPAWC 2010, European Signal Processing Conference (EUSIPCO) 2013, IET Conference on Intelligent Signal Processing (London, 2013/2015/2017), IEEE Globecom 2014/2015/2016 (Workshop on Trusted Communications with Physical Layer Security) and the First International Workshop on Digital Technologies for Global Challenges (Leeds University, 27-28 June 2019).

Finally, in what spare time remains he plays jazz piano in bars and restaurants and recently came second in the 2018 Leeds Pub Piano Competition (https://leedspubpiano.com) – which he now considers his most important “academic” achievement ! :-)


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SCHEDULE

Wednesday November 10th, 2021 CINVESTAV

Hour Room 1 Room 2 Room 3

10:00-11:30 Opening Ceremony and Plenary

Prof. Gildas Besançon, PhD. Professor Grenoble INP / GIPSA-lab, France.

11:30-12:00 Break 12:00-14:00 BIO 1 NANO AC 1 14:00-16:00 Break 16:00-18:00 CS 1 SSM 1 AC 2

AC: AUTOMATIC CONTROL, BIO: BIOMEDICAL ENGINEERING/ BIOMIMETICS, COMM: COMMUNICATIONS SYSTEMS, CS: COMPUTER SCIENCE AND COMPUTER

ENGINEERING, MEC: MECHATRONICS, MEE: MECHANICAL ENGINEERING, NANO: NANOTECHNOLOGY, POW: POWER ELECTRONICS, SSM: SOLID-STATE

MATERIALS, ELECTRON DEVICES AND INTEGRATED CIRCUITS, AU: AUTONOMOUS NAVIGATION EXOSKELETONS

Thursday November 11th, 2021 CINVESTAV


9:00-11:00 CS 2 SSM 2 MEC 1 11:00-11:30 Break

11:30-12:30 Plenary

Prof. Jinjun Shan, PhD. Department of Earth and Space Science and Engineering . York University, Toronto, Canada.

12:30-15:00 Break 15:00-17:20 BIO 2 MEE AC 3 AC: AUTOMATIC CONTROL, BIO: BIOMEDICAL ENGINEERING/ BIOMIMETICS, COMM: COMMUNICATIONS SYSTEMS, CS: COMPUTER SCIENCE AND COMPUTER



Friday November 12th, 2021 CINVESTAV


9:00-11:00 SSM 3 AU 11:00-11:30 Break

11:30-12:30 Plenary

Prof. Des McLernon, PhD. School of Electronic and Electrical Engineering. The University of Leeds. United Kingdom.

12:30-13:00 Break 13:00-14:00 CS 3 POW/COMM MEC 2 14:15-14:30 Closing ceremony AC: AUTOMATIC CONTROL, BIO: BIOMEDICAL ENGINEERING/ BIOMIMETICS, COMM: COMMUNICATIONS SYSTEMS, CS: COMPUTER SCIENCE AND COMPUTER




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TECHNICAL PROGRAM

ID Hour Automatic Control (AC)

Session AC 1 - IDENTIFICATION/ADAPTABLE

Wednesday November 10th, 2021 12:00-14:00 Room 3 Session Chair: Dr. Rubén Garrido Moctezuma

ID 47 12:00-12:20 Nonlinear Least Squares-based Identification of a Continuous Friction Model. Antonio Concha Sánchez and Suresh Thenozhi.

ID 48 12:20-12:40 Adaptive Tracking Control of an Uncertain Duffing-Holmes System. Suresh Thenozhi and Antonio Concha Sánchez.

ID 68 12:40-13:00 Parameter identification from hybrid model using PSO and penalty functions. Ricardo Cortez, Yair Lozano and Ruben Garrido.

ID 1 13:00-13:20 An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. Adolfo Perrusquia, Ruben Garrido and Wen Yu.

ID 80 13:20-13:40 Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems. J. Felipe Guerra, Ramon Garcia-Hernandez and Miguel A. Llama.

ID 14 13:40-14:00 Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples. Hang Yin, Zhengmao Ye, Huey Lawson and Albertha Lawson.

Session AC 2 - CONTROL APLICATIONS

Wednesday November 10th, 2021 16:00-18:00 Room 3 Session Chair: Dr. Javier Ruiz León

ID 15 16:00-16:20 Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions. Cesar Alejandro Villaseñor Rios and Octavio Gutierrez-Frias.

ID 127 16:20-16:40 A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation. Abraham Rodriguez Mata, Jose Luis Robles and Leonel Amabilis.

ID 101 16:40-17:00 Modeling and simulation of a Furuta pendulum actuated by an inertial Wheel. Israel Alejandro Cadena Luqueño, Martin Bustamante Enciso and Rafael Stanley Nuñez Cruz.


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ID 39 17:00-17:20 Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications. Jose Francisco Perez, Roberto Morales and Marco A. Morales-Caporal.

ID 78 17:20-17:40 Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads. Juan Carlos López-Hoyos, Jorge Said Cervantes-Rojas, Patricio Ordaz and Omar Sandre-Hernández.

ID 55 17:40-18:00 Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3). Mazen Shehab, Ahmed Zaghloul and Ayman El-Badawy.

Session AC 3 - NONLINEAR/DIAGNOSIS

Thursday November 11th, 2021 15:00-17:00 Room 3 Session Chair: Dr. Antonio Ramírez Treviño

ID 60 15:00-15:20 Concurrent Fault Diagnosis Based on an Extended Kalman Filter. Adrian Lizarraga, Ofelia Begovich and Antonio Ramírez.

ID 36 15:20-15:40 Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor. Abraham Efram Rodriguez-Mata, Auerelian Cabarbaye R, Rogelio Baray-Arana, Pedro Acosta-Cano de Los Rios and Hector Rodriguez-Rangel.

ID 3 15:40-16:00 A systematic method for backstepping via linear matrix inequalities. Jorge Ibarra, Jesús Alonso Díaz, Raymundo Márquez and Miguel Bernal.

ID 42 16:00-16:20 A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example. Brian Camilo Gomez Leon, Mario Andres Aguilar-Orduña and Hebertt José Sira-Ramírez.

ID 59 16:20-16:40 PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot. Dionicio Meza Solano, Raul Eusebio Grande and Mariana Ibarra Bonilla.

ID 65 16:40-17:00 A Novel Method to Analyze Input-Output Controllability. Muhammad Ibrahim and Imran Hameed.

ID Hour Autonomous Navigation - Exoskeletons

Session AU

Friday November 12th, 2021 9:00-11:00 Room 3 Session Chair: Dra. Fátima Oliva


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ID 44 9:00-9:20 A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems. Luis Angel Arellano Cruz, Giselle Monserrat Galvan Tejada and Rogelio Lozano Leal.

ID 109 9:20-9:40 Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems. Gerardo César Vélez López, Luis Hernández Martínez and Héctor Vázquez Leal.

ID 61 9:40-10:00 Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy. Carlos Alexander Osorio Quero, Andrés Mauricio García, Daniel Durini Romero Romero, José de Jesús Rangel Magdaleno, Jose Martinez-Carranza and Rubén Ramos-Garcia.

ID 110 10:00-10:20 Development of an Efficient Path Planning Algorithm for Indoor Navigation. Omar Vicente Perez Arista, Oscar Rafael Vargas Barona and Rafael Stanley Nuñez Cruz.

ID 105 10:20-10:40 Control and cable deployment of a tethered PVTOL aircraft. Carlos Guillermo Valerio Naranjo, Eduardo Steed Espinoza Quesada and Rogelio Lozano Leal.

ID 126 10:40-11:00 Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons. Enrique Martinez Sanchez, Alejandro Rodriguez Angeles and Jonatan Pena Ramirez.

ID Hour Biomedical Engineering/ Biomimetics (BIO)

Session BIO 1

Wednesday November 10th, 2021 12:00-14:00 Room 1 Session Chair: Dra. Blanca Tovar Corona

ID 5 12:00-12:20 An objective analysis of human snoring based on an acoustic technique to determine the obstruction site. Judith Guzman, Eladio Cardiel, Laura I. Garay-Jimenez and Pablo Rogelio Hernandez.

ID 8 12:20-12:40 Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset. Geovanny Palomino-Roldan and Ernesto Suaste-Gomez.

ID 10 12:40-13:00 Phoniatric system based on acoustical analysis for early detection of anomalies in voice production. Ana Laura Cazarín, Eladio Cardiel, Laura I. Garay-Jimenez and Pablo Rogelio Hernández.

ID 69 13:00-13:20 EEG motor/imagery signal classification comparative using machine learning algorithms. Alicia Guadalupe Lazcano-Herrera, Rita.Q. Fuentes-Aguilar and Mariel Alfaro-Ponce.

ID 82 13:20-13:40 Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks. Rodrigo Leite-Prates, Wilfrido Gómez-Flores and Wagner Coelho de Albuquerque Pereira.


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ID 83 13:40-14:00 Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot. Rafael Bayareh Mancilla, Christian Daul, Josefina Gutiérrez Martínez, Arturo Vera Hernández, Didier Wolf and Lorenzo Leija Salas.

Session BIO 2

Thursday November 11th, 2021 15:00-17:20 Room 1 Session Chair: Dra. Blanca Tovar Corona

ID 7 15:00-15:20 Design and Manufacture of a Training System for Ventriculostomy. Abimael Terrones Acosta, Daniel Lorias-Espinoza, Vicente González Carranza, Fernando Pérez-Escamirosa, Jose Antonio Gutiérrez-Gnecchi and Rigoberto Martínez Méndez.

ID 25 15:20-15:40 Interpedicular screw placement image guided navigation surgery simulator. Jose Ruben Huerta Osnaya.

ID 63 15:40-16:00 Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ. Karla Itzel Suárez Pérez, Daniel Sarir Apátiga Pérez, Antonio Héctor Dell'Osa and Miguel Ramírez-Barrios.

ID 17 16:00-16:20 Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals. María Fernanda Ramírez-Peralta, María Fernanda Romo-Fuentes, Blanca Tovar-Corona, Martin Arturo Silva-Ramírez and Laura Ivoone Garay-Jiménez.

ID 104 16:20-16:40 Artifacts removal in electrodermal signals. Rosario Ríos-Prado, Blanca Tovar-Corona and Laura Ivoone Garay-Jiménez.

ID 114 16:40-17:00 Prototype of an Ambulatory Long-Term ECG Monitoring System For Real-Time Detection Of QRS Complex and T-Wave end Based on an FPGA. Jose Alberto García Limón, Frank Martínez Suárez and Carlos Alvarado Serrano.

ID 37 17:00-17:20 Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in wáter. Edel-Serafin Hernandez-Gomez, Jose-Luis Olvera-Cervantes, Benito Corona-Vasquez, Alonso Corona-Chavez, Tejinder-Kaur Kataria and Maria-Elena Sosa-Morales.

ID Hour Computer Science and Computer Engineering (CS)

Session CS 1

Wednesday November 10th, 2021 16:00-18:00 Room 1 Session Chair: Dra. Alicia Morales Reyes


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ID 22 16:00-16:20 Visual-based Real Time Driver Drowsiness Detection System Using CNN. Jonathan Flores-Monroy, Mariko Nakano-Miyatake, Gabriel Sánchez-Pérez and Hector Pérez-Meana.

ID 72 16:20-16:40 Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering. Cesar Barron-Rubio and Ernesto Lopez-Mellado.

ID 74 16:40-17:00 Instance Selection Based on Linkage Trees. Wilfrido Gómez-Flores, Samuel Omar Tovias-Alanis and Gregorio Toscano-Pulido.

ID 121 17:00-17:20 Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking. Aldo Yair Tenorio Barajas, Dulce Estefanía Nicolás Álvarez, Andres Reyes Chaparro, Claudia Oliva Mendoza Barrera, Brenda Magaña Trejo and Victor Manuel Altuzar Aguilar.

ID 87 17:20-17:40 Automatic Generation of Test Cases from Formal Specifications using Mutation Testing. Román Jaramillo, Raúl González and Pedro Mejía.

Session CS 2

Thursday November 11th, 2021 9:00-11:00 Room 1 Session Chair: Dr. Wilfrido Gómez Flores

ID 12 9:00-9:20 Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification. Cinmayii Garillos-Manliguez and John Chiang.

ID 20 9:20-9:40 A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction. Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan and Sanzida Islam.

ID 81 9:40-10:00 A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm. Sayed Pedram Haeri Boroujeni and Elnaz Pashaei.

ID 92 10:00-10:20 Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis. Zhengmao Ye.

ID 111 10:20-10:40 Effect of Rate of Change of Stock Prices with News Sentiment Analysis. Sashank Sridhar and Sowmya Sanagavarapu.

ID 123 10:40-11:00 Supervised Neural Network for Offline Forgery Detection of Handwritten Signature. Muhammad Aslam, Ana Maria Martinez Enriquez and Saleem Summra.


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Session CS 3 Friday November 12th, 2021 13:00-14:00 Room 1 Session Chair: Dr. Miguel Morales Sandoval

ID 38 13:00-13:20 A Lightweight Security Protocol for Beacons BLE. Karla J. Campos-Cruz, Cuauhtemoc Mancillas-López and Brisbane Ovilla-Martínez.

ID 66 13:20-13:40 A Generalized Lagrange Multiplier Method for Support Vector Regression. Sara Eugenia Rodríguez Reyes, Pablo Benavides Herrera, Gregorio Alberto Álvarez Álvarez, Riemann Ruiz Cruz and Juan Diego Sánchez Torres.

ID 77 13:40-14:00 Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras. Andres Manjarrés García, Carlos Osorio Quero, Jose Rangel-Magdaleno, Jose Martinez-Carranza and Daniel Durini.

ID Hour Mechanical Engineering (MEE)

Session MEE

Thursday November 11th, 2021 16:00-17:00 Room 2 Session Chair: Dr. Manuel Arias Montiel

ID 2 16:00-16:20 Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive. Jean Carlos Criado Jiménez, Carolina Abril Carrascal and Carlos Steven Sánchez Rincón.

ID 98 16:20-16:40 Parametric identification of a magnetorheological damper based on Genetic Algorithm. Andres Rodriguez-Torres, Jesús Morales Valdez and Wen Yu.

ID 29 16:40-17:00 Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition. José H. Mendoza, Rasikh Tariq, Luis F Santis Espinosa, Francisco Anguebes and A. Bassam.

ID Hour Mechatronics (MEC)

Session MEC 1

Thursday November 11th, 2021 9:00-11:00 Room 3 Session Chair: Dr. Alejandro Rodríguez Ángeles


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ID 50 9:00-9:20 Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea Surface. Maria Karen Gonzalez, Victor Golikov, Hussain Alazki and Oleg Samovarov.

ID 54 9:20-9:40 Obstacle avoidance in leader-follower formation using artificial potential field algorithm. Javier Lagunas, Rafael Castro and Jaime Alvarez.

ID 94 9:40-10:00 Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications. Jetzael Cuazoson, Daniel Ferrusca, Jesus Contreras, Eduardo Ibarra-Medel, Miguel Velázquez, Stanley Kurtz and David Hiriart.

ID 95 10:00-10:20 Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification. Mohammed Youssef and Hesham Ibrahim.

ID 108 10:20-10:40 Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals. Sergio Daniel Sanchez Solar, Gustavo Rodriguez Gomez, Angelica Muñoz Melendez and Jose Martinez Carranza.

Session MEC2

Friday November 12th, 2021 13:00-14:00 Room 3 Session Chair: Dr. Jesús Linares-Flores

ID 24 13:00-13:20 Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform. Axel Coronado, Alejandra de la Guerra Carrasco and Luis Alvarez-Icaza.

ID 102 13:20-13:40 FPGA-based accuracy mechatronics of a feed-drive system with ball screw. Carlos Emilio Márquez García, Jesus Lopez Gomez, Fermin Marinez Solis, M. A. Diozcora Vargas Treviño, Sergio Vergara Limon and Victor Manuel Velazquez Aguilar.

ID 113 13:40-14:00 Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers. Isaí Jiménez Hernández, Carlos Garcia Rodríguez and Jesús Linares Flores.

ID Hour Nanotechnology (Materials and Applications) (NANO)

Session NANO

Wednesday November 10th, 2021 12:00-14:00 Room 2 Session Chair: Dra. Eugenia Paola Arévalo-López

ID 56 12:00-12:20 Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications. Manmohan Jain, Sucheta Juneja, Mohit Jain, Kalpana Lodhi, Chander Kant, Ateet Dutt, Yasuhiro Matsumoto and Sushil Kumar.


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ID 16 12:20-12:40 Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD. Manmohan Jain, Andrés Galdámez-Martínez, Ateet Dutt and Yasuhiro Matsumoto.

ID 70 12:40-13:00 Bandgap dependence on facet and size engineering of TiO2: A DFT Study. Francisco Javier Gomez Cano, Araceli Romero-Nuñez, Anish Jantrania, Hongbo Liu, Abdelhadi Kassiba and Velumani Subramaniam.

ID 97 13:00-13:20 Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering. Javier Sotelo Medina, Daniel Ortiz Gutiérrez, Vyacheslav Elyukhin and Ramón Peña Sierra.

ID 103 13:20-13:40 A Resampling Approach for the Data-Based Optimization of Nanosensors. Patricia Guadalupe López-Cárdenas, Emmanuel Alcalá, Juan Diego Sánchez-Torres and Elsie Araujo.

ID 75 13:40-14:00 Improvement the optical properties of the P3HT:PC70BM film using CdSe QD. Jorge Cruz-Gómez, Aruna Devi Rasu-Chettiar, Francisco Javier de Moure-Flores, Sandra Andrea Mayén-Hernández, Adrián Sosa-Domínguez and José Santos-Cruz.

ID Hour Power Electronics /Communications Systems

Session POW/COMM

Friday November 12th, 2021 13:00-14:00 Room 2 Session Chair: Dr. Adrián René Ramirez López

ID 73 13:00-13:20 Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function. Francisco B. González Sáenz and Omar Sandre Hernández.

ID 96 13:20-13:40 DFT-based phasor estimator using a MAF with a phase-lead compensator. Rafael Escudero, Luis Ibarra, Pedro Ponce and Arturo Molina.

ID 13 13:40-14:00 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks. Giselle Galvan-Tejada and Jorge Aguilar-Torrentera.

ID Hour Solid-state materials, Electron Devices and Integrated Circuits

(SSM)

Session SSM 1 Wednesday November 10th, 2021 16:00 – 18:00 Room 2 Session Chair: Dr. José Santos Cruz


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ID 40 16:00-16:20 Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots. Evelyn B. Díaz-Cruz, E. Regalado-Pérez, Jorge Cruz-Gómez, X. Mathew, F. J. de Moure-Flores, Francisco Paraguay-Delgado and José Santos-Cruz.

ID 41 16:20-16:40 Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator. Ashok Adhikari, Ganesh Regmi, Dr. Velumani Subramaniam, Luis Dorian Valencia Ordonez, Jorge Evaristo Conde Diaz and Homero Castaneda-Lopez.

ID 19 16:40-17:00 Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells. Jesus Fernando Solis Vivanco, Rasu Chettiar Aruna Devi, Maria Concepcion Arenas Arrocena, Adrian Sosa Dominguez, Francisco Javier De Moure Flores and Jose Santos Cruz.

ID 46 17:00-17:20 Graphene for a green-environmentally methodology with organic surfactants. Bruno Renato Flores-Hernández, Francisco Javier de Moure-Flores, Sandra Andrea Mayén-Hernández and José Santos-Cruz.

ID 85 17:20-17:40 Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters. Luis Dorian Valencia Ordoñez, Jorge Evaristo Conde Diaz, Carlos Alonso Meza Avendaño, Marco Antonio Zúñiga Reyes, Irving Geovanny Zuñiga Santiz, Ashok Adhikari, Velumani Subramaniam and Heber Vilchis Bravo.

ID 112 17:40-18:00 Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process. Citlalli Vázquez, César Camas, Jorge Conde and Héber Vilchis.

Session SSM 2

Thursday November 11th, 2021 9:00-11:00 Room 2 Session Chair: Dr. Yasuhiro Matsumoto

ID 67 9:00-9:20 Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications. Faycal Djeffal and Hichem Ferhati.

ID 23 9:20-9:40 Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13. Daniel Trejo-Zamudio, Sandra Andrea Mayén-Hernández, José Guadalupe Quiñones-Galván, Francisco Javier de Moure-Flores, María Lucero Gómez-Herrera and José Santos-Cruz.

ID 84 9:40-10:00 Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition. David Santos Cruz, Maria de La Luz Olvera Amador, Sayda Dinorah Coria Quiñones, Francisco Javier de Moure Flores and Jose Santos Cruz.

ID 45 10:00-10:20 Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition. Jorge Cruz-Gómez, Enrique Hernández-Cantero, David Santos-Cruz, Sandra Andrea Mayén-Hernández, Francisco Javier De Moure-Flores and José Santos-Cruz.


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ID 33 10:20-10:40 Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications. J.A. Melchor-Robles, T.G. Díaz-Rodríguez, Jacobo Martínez-Reyes, A. Maldonado-Álvarez and María de La Luz Olvera-Amador.

ID 122 10:40-11:00 Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques. Dr. Ramakrishna V.

Session SSM 3

Friday November 12th, 2021 9:00-11:00 Room 2 Session Chair: Dra. Griselda Stephany Abarca-Jiménez

ID 89 9:00-9:20 High Transconductance Gain Low Voltage Class AB OTA. Jasiel Hernandez and Ivan Padilla.

ID 27 9:20-9:40 A Two-level Modeling Methodology for Memristive Devices. Jesús Jiménez-León, Arturo Sarmiento Reyes and Pedro Rosales Quintero.

ID 62 9:40-10:00 Micromotors unit based on CMOS-MEMS technology integrated on a single chip. Andrea López-Tapia, Luis Sánchez-Márquez, Mario Alfredo Reyes-Barranca, Griselda Stephany Abarca-Jiménez and Luis Martín Flores-Nava.

ID 43 10:00-10:20 Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling. Carlos Alberto Sanabria Díaz, Mónico Linares Aranda and Rogelio Manuel Higuera González.

ID 49 10:20-10:40 Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor. Hichem Ferhati and Fayçal Djeffal.


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ABSTRACTS

Automatic Control (AC) Session AC 1 - IDENTIFICATION/ADAPTABLE Wednesday November 10th, 2021 12:00-14:00 Room 3 Session Chair: Dr. Rubén Garrido Moctezuma ID 47 Nonlinear Least Squares-based Identification of a Continuous Friction Model. Antonio Concha Sánchez and Suresh Thenozhi. Abstract: This paper presents an identification method to estimate the friction model parameters of a servomechanism. A continuously differentiable function is used to capture the friction effect. The velocity and friction force of the servo are estimated using an integral linear extended state observer (ILESO) that uses the position measurements. The nonlinear least squares (NLLS) method is used to identify the parameters of the nonlinearly parameterized friction model. Simulation studies comparing the identified continuous friction model with the classical discontinuous friction model and with a neural network-based friction model are presented. ID 48 Adaptive Tracking Control of an Uncertain Duffing-Holmes System. Suresh Thenozhi and Antonio Concha Sánchez. Abstract: This paper presents a backstepping-based adaptive control design for a Duffing-Holmes system with an uncertain parameter. The proposed controller uses an adaptation rule to estimate this parameter and to follow a reference model. The contraction theory is used to analyze the convergence of the tracking and parameter estimation errors. The performance of the proposed controller is validated through simulation studies.

ID 68 Parameter identification from hybrid model using PSO and penalty functions. Ricardo Cortez, Yair Lozano and Ruben Garrido. Abstract: This work studies the parameter identification of a hybrid model with Particle Swarm Optimization. A hybrid model is based on selection functions that allow the switching between simple mathematical expressions in order to describe a complex behavior. In this work two performance functions are proposed to perform the identification: The former considers a switching between functions on their structure. The latter implements function penalty functions in order to avoid the evaluation of the selection functions. These functions test for the parameter identification of a Shape Memory Alloy model under a numerical simulation. The quality of the computed estimates is tested using statistical tools to assure repeatability and to verify the influence of the performance functions. ID 1 An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. Adolfo Perrusquia, Ruben Garrido and Wen Yu. Abstract: In this paper, an input error identification algorithm for a class of Euler-Lagrange systems is proposed. The algorithm has a state-observer structure which uses the input error between the real system and an estimated model instead of the output error. Both systems are controlled by two Proportional-Derivative (PD) controllers with the same gain values. An excitation signal is added to the PD controllers to guarantee parameter estimates convergence. Stability of the complete identification method and parameter estimates convergence are assessed via Lyapunov stability theory. Simulation studies are carried out to verify the approach. ID 80 Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems. J. Felipe Guerra, Ramon Garcia-Hernandez and Miguel A. Llama. Abstract: This work aims to apply metaheuristic optimization, offered by bio-inspired algorithms, to enhance the behavior of neural identifiers for unknown nonlinear systems in discrete-time whose model, for this purpose, is assumed unknown. To this aim, a new and efficient training algorithm built on the Unscented


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Kalman Filter framework is used. Simulations on a two degree of freedom robot arm are performed ID 14 Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples. Hang Yin, Zhengmao Ye, Huey Lawson and Albertha Lawson. Abstract: Nonlinear least square estimation is proposed to determine the physical index and self-weight consolidation properties of diverse composite samples being homogenized out of tube samples, which are taken from various borings in the State of Louisiana. Due to the high sensitivity of soil, a low pressure loading system is applied to perform self-weight consolidation tests, with stresses ranging from 10, 50, 100, 200 to 600 psf and one unloading segment at 200 psf. Typical data analysis using the Casagrande (Log time) method or Taylor (Root time) method could be implemented to determine the primary parameter of the coefficient of consolidation (Cv), which would require long-lasting multiple procedures to locate a few consolidation points on testing data curves manually. A simple hyperbolic tangent function model instead is proposed in this study. Parametric optimization is conducted via nonlinear least square estimation, where data points from 0 to 100% deformation will all be used to optimize the result and compute the coefficient of consolidation (Cv), in order to better predict the actual time rate of the settlement. It indicates that those composite samples are in fact the well degraded clays with the high in-situ water contents, high plasticity, low consolidation coefficients and low hydraulic conductivities. For testing results, coefficients of consolidation obtained from the Taylor method is slightly higher than the Casagrande method. Least square curve fitting has the potential to provide more accurate results than the two existing methods Session AC 2 - CONTROL APLICATIONS Wednesday November 10th, 2021 16:00-18:00 Room 3 Session Chair: Dr. Javier Ruiz León ID 15 Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions. Cesar Alejandro Villaseñor Rios and Octavio Gutierrez-Frias. Abstract: A control scheme for rotary base inverted

pendulum system is presented. This control strategy is a combination of a linear proportional-derivative for tracking trajectory control in the base's angle and control by means of a nested saturation functions that generate the desired trajectory for the base's angle. The control scheme is based on the idea that uses a coordinate as artificial control, through tracking trajectory control, and shows a methodology to express the system as a integrator chain to propose a controller by nested saturation functions. Numerical simulations are presented for RBIP system in closed-loop with the control scheme proposed. ID 127 A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation. Abraham Rodriguez Mata, Jose Luis Robles and Leonel Amabilis. Abstract: In this paper we will discuss a Lipschitz type observer for a nonlinear system type, using the Luenberger type observer as a baseline. The nonlinearities were approached using Linear Matrix Inequality's (LMI's) through Matlab and Yalmip. A photobioreactor will be used as an example with the Monod equation. The main objective of the paper is to be able to estimate the nutrient concentration using only the incident and irradiant light of the photobioreactor as input. ID 101 Modeling and simulation of a Furuta pendulum actuated by an inertial Wheel. Israel Alejandro Cadena Luqueño, Martin Bustamante Enciso and Rafael Stanley Nuñez Cruz. Abstract: In this work we present the development of a new experimental control platform, which has a set of characteristics not found on a single platform until now, such as: an arborescent kinematic chain, under-actuated and actuation by means of an inertial wheel. The kinematic and dynamic model are presented with high detail, including parametric description of the links geometry. The resulting dynamic model is compare to equivalent models on specific conditions to validate the model an finally simulation results are shown using a PID controller with velocity restriction term under different initial conditions and subject to disturbances.


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ID 39 Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications. Jose Francisco Perez, Roberto Morales and Marco A. Morales-Caporal. Abstract: Photovoltaic generation has grown with continuous developments that allow new functionalities such as power factor correction or multilevel voltage generation. However, the increment in the complexity of control algorithms requires expensive digital systems for their correct implementation. Therefore, this paper presents a new simplified reactive power control technique based on the d-q rotating frame theory allowing power factor correction by injecting phase-shifted or in-phase current to the power grid from photovoltaic arrays. Furthermore, the high conversion efficiency rate result is due to the use of an MPPT algorithm. Finally, the proposed simplified reactive power control was constructed to be used in a 7-level H-bridge power inverter. Simulated results of the proposed simplified control scheme verify low-THD in the current and a high-performance during active or reactive power injection into the single-phase electrical grid. ID 78 Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads. Juan Carlos López-Hoyos, Jorge Said Cervantes-Rojas, Patricio Ordaz and Omar Sandre-Hernández. Abstract: This paper deals with a model reference adaptive based control for an unmanned aircraft under payload variations. This situation is motivated by some tasks performed by autonomous aircrafts in precision agriculture, for example seed dispersal or spraying pesticides, where the vehicle payload is released during flight. This payload variation involves a change of the vehicle mass as well as the inertia moments. Thus, it is necessary to apply a feedback controller to counteract this phenomena while a hovering flight is performed. In this study, a backstepping-like adaptive control approach based on model reference adaptive procedure is designed. Finally, some numerical simulations to test the performance of the designed controller using MATLAB Simulink are developed. ID 55 Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3). Mazen Shehab, Ahmed Zaghloul and Ayman El-Badawy.

Abstract: Unmanned Aerial Vehicles (UAVs) like Quadrotors are inherently under-actuated and unstable systems. The mechanical complexity and non-linearity of such systems make it a difficult task to control the flight of the mentioned systems. However, due to recent advancements in the fields of data science and machine learning, new algorithms for flight stabilization and trajectory control were developed using Deep Reinforcement Learning. This paper presents two low-level Quadrotor controllers based on the same algorithm. The first designed controller aims to stabilize the Quadrotor at a certain preset point given any random initial position. The second is to track any target position given in the 3D space. Twin Delayed Deep Deterministic Policy Gradient (TD3) is used to train the agents to achieve the required tasks. This method is an off-policy Actor-Critic based method. It was used as it does not require a system model and works on environments with continuous action and state spaces. The superb performance of the trained policies is demonstrated in a simulation to illustrate the effectiveness of the proposed controllers. Session AC 3 - NONLINEAR/DIAGNOSIS Thursday November 11th, 2021 15:00-17:00 Room 3 Session Chair: Dr. Antonio Ramírez Treviño ID 60 Concurrent Fault Diagnosis Based on an Extended Kalman Filter. Adrian Lizarraga, Ofelia Begovich and Antonio Ramírez. Abstract: This work introduces a novel methodology to detect, isolate, and estimate (i.e. to diagnose) simultaneous faults in a class of nonlinear systems, when faults are constant and they occur in the system's actuators. The methodology augments the system's model by adding $k$ new states representing, each one, the dynamics of a fault. Then, it builds an extended Kalman Filter (EKF) to estimate the faults. An advantage of our approach lies in the fact that a single filter can be used to diagnose all the faults, even if they occur simultaneously, and thus, the designing process is significantly reduced. The fault estimation can be useful in the subsequent Fault Tolerant Control stages. In order to show the effectiveness of the proposed approach, experimental results computed from the actual data logged obtained from a real three-wheel omnidirectional mobile robot are shown.


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ID 36 Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor. Abraham Efram Rodriguez-Mata, Auerelian Cabarbaye R, Rogelio Baray-Arana, Pedro Acosta-Cano de Los Rios and Hector Rodriguez-Rangel. Abstract: The primary goal of this research report is to investigate the challenging topic of flight dynamics control-regulation over a quadrotor UAV's orientation (attitude) in the presence of wind disturbances and unmodeled dynamics. To do this, we first create a viable output feedback controller-regulator that incorporates High Gain Observers (FHGO) feedback and Radial Basis Function Neural Network (RBF) compensation of estimated disturbances. Furthermore, the usage of reliable sliding mode controllers. Then, despite wind dynamics, noise in sensor outputs, velocity estimates, and common modeling mistakes, a quadrotor UAV is maintained at a given orientation utilizing such a controller. Finally, the effectiveness of the suggested controller is investigated in a simulation framework using a realistic physical model of a quadrotor UAV. ID 3 A systematic method for backstepping via linear matrix inequalities. Jorge Ibarra, Jesús Alonso Díaz, Raymundo Márquez and Miguel Bernal. Abstract: In this paper, a systematic method for implementing backstepping via linear matrix inequalities is developed. It is based on using the direct Lyapunov method at each step of the backstepping procedure in order to find a control law as a nonlinear convex sum of gains. These gains are obtained via commercially available software for solving linear matrix inequalities, which guarantees numerical readiness of the proposal. Moreover, dealing with MIMO subsystems at each step can be done without further adjustments. Examples of academic and practical interest illustrate the advantages of the novel methodology over former approaches. ID 42 A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Brian Camilo Gomez Leon, Mario Andres Aguilar-Orduña and Hebertt José Sira-Ramírez. Abstract: This article proposes a Disturbance Observer Based Controller (DOBC) improved by the inclusion of an Active Disturbance Rejection Controller (ADRC), in classical transfer function form, as a feedback controller. Typically, the DOB controller uses a disturbance observer (DO) obtained by subtracting the low pass filtered plant inverse from the similarly filtered input signal. After direct disturbance cancellation, the feedback controller part of the DOB controller scheme is usually prescribed in an independently free manner. The use, in classical transfer function form, of a Reduced Order Extended State Observer based Active Disturbance Rejection Controller (ROESO-ADRC) as a feedback controller, in place of an unrelated controller, is shown to vastly improve the total disturbance attenuation in the closed loop system, thus enhancing the output reference trajectory tracking performance. The method is tested in the trajectory tracking control of an under-actuated, nonlinear, moving crane. ID 59 PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot. Dionicio Meza Solano, Raul Eusebio Grande and Mariana Ibarra Bonilla. Abstract: This paper describes an obstacle avoidance system to a mobile differential robot integrated with 9 infrared sensors, 7 for the detection of obstacles and 2 for the detection of the limit of the environment where the robot will move. A system based on fuzzy logic translates the values read from infrared sensors and adjusts them to position values in degrees. To executing the robot movements with a minimal overshoot was implemented a digital PID control, which allows conduct the robot to the reference degree that the fuzzy system returns. The control system was programmed in the ARM Cortex-M4 STM32F407 microcontroller, using Micropython-OS. The validation tests are described and the results analysis gives a standard deviation of the error of 0.33. ID 65 A Novel Method to Analyze Input-Output Controllability. Muhammad Ibrahim and Imran Hameed.


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Abstract: The proposed algorithm in this research paper leads to an approach through which the input-output controllability of a plant model can be predicted successfully beforehand if it is scaled efficiently according to a normalized behavior. In the industrial applications, it is extremely important to make sure that the inputs and outputs of a plant model are realizable not only with the limitations imposed mostly by the system’s devices but also by its circuitry and programming. The motivation behind choosing this method is that the classical control fails to precisely assess the systems. The goal is to extract a threshold value based on the controllability Gramian characteristic. According to a defined controllability criterion, any value which would be less than the proposed threshold value would translate into the fact that the plant is not practically controllable. The Glover-McFarlane loop shaping technique is implemented for a multitude of multi-input multi-output systems.

Autonomous Navigation- Exoskeletons (AU) Session AU Friday November 12th, 2021 9:00-11:00 Room 3 Session Chair: Dra. Fátima Oliva ID 44 A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems. Luis Angel Arellano Cruz, Giselle Monserrat Galvan Tejada and Rogelio Lozano Leal. Abstract: In the position estimation topic, it is well-known that a minimum of three reference stations or anchors are required to solve the positioning problem by classical methods in a 2D space, otherwise the obtained errors are large. Thus, more information provided by a greater number of anchors will pay off in a more accurate estimation. Nevertheless, there are situations where this cannot be always achieved. In this work an algorithm able to estimate the position of an unmanned aerial vehicle with only the three anchors required for position estimation is presented and evaluated in terms of accuracy in a multipath environment. The proposed algorithm combines two positioning methods found in the literature in order to reduce the errors generated by each one implemented separately.

ID 109 Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems. Gerardo César Vélez López, Luis Hernández Martínez and Héctor Vázquez Leal. Abstract: Robotic arms are used in multiple disciplines, in structured and unstructured workspaces, solving a diversity of problems, which has allowed its incorporation in collaborative activities with human beings To solve these types of scenarios, it is necessary to have an efficient path planning method that obtains a collision-free path that is easy to apply and that the necessary resources to implement it are the minimum. For this reason, this paper presents a new proposal that guarantees the obtaining of path, it is capable of working in narrow corridors, it does not need path smoothing, it is deterministic (it is based on homotopy continuation methods). In addition, the memory and computation time required to obtain the path is in the order of milliseconds and KB, allowing it to be implemented in embedded systems and this paper will show it. ID 61 Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy. Carlos Alexander Osorio Quero, Andrés Mauricio García, Daniel Durini Romero Romero, José de Jesús Rangel Magdaleno, Jose Martinez-Carranza and Rubén Ramos-Garcia. Abstract: In this article, we propose a method to be used for the reconstruction of single-pixel near-infrared (SPI-NIR) lowresolution 2D images using active illumination with a peak wavelength on 1550 nm, that is based on Batch Orthogonal Matching (Batch-OMP) processing algorithms and a region definition in the projection sequence of Hadamard illumination patterns using the Genetic algorithm (GA). Different methods to generate Hadamard pattern sequences have been reported, mostly based on switching the illumination sequence on and off to improve the quality of the reconstructed image, thereby increasing the Structural Similarity Index Measure (SSIM) level and reducing the processing time.These methods are efficient for image sizes of > 64x64 virtual pixels,but for lower resolutions with small coherence areas Ach, the SNR level of the reconstructed image is very low, which makes other


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methods, such as those using the ZigZag or Hilbert filling curves for the scanning path, an option for the reconstruction of SPI-NIR low-resolution images.Due to the fact that in the present application, we deal with low-resolution (size image 8 x 4 virtual pixels) SPI-NIR images, we present a solution to improve the obtained image quality (aiming at PSNR> 10dB and SSIM> 0.5) that is based on the use of a specific scanning path and a combination of a genetic algorithm to define the switching sequences of the Hadamard patterns, using Batch-OMP algorithm for image reconstruction, in the processing time range between 20 and 35 ms. ID 110 Development of an Efficient Path Planning Algorithm for Indoor Navigation. Omar Vicente Perez Arista, Oscar Rafael Vargas Barona and Rafael Stanley Nuñez Cruz. Abstract: In the present work, a path planning generation method is proposed, it is based on the learning and query phases of the original probabilistic roadmap (PRM) method, but a more efficient approach is presented, also an additional simplification and optimization phases are added to minimize the length of the resulting trajectory. The proposed method produces safe paths for navigation in a known static map without increasing execution time. The proposed method is compared to the existing implementation of the PRM method, available in Matlab. Finally a simple kinematic controller is presented to show realistic simulations of the trajectory realization, for this test real maps are used, which are obtained by means of the SLAM algorithm. ID 105 Control and cable deployment of a tethered PVTOL aircraft. Carlos Guillermo Valerio Naranjo, Eduardo Steed Espinoza Quesada and Rogelio Lozano Leal. Abstract: This paper deals with the development of a strategy to stabilize a Planar Vertical TakeOff and Landing Aerial Vehicle powered by a tether system. The tether system consists of a ground station which provides power through a suspended cable to the aerial vehicle. Giving a position reference, the ground station computes the optimal cable length reference, which minimizes the tension force acting on the vehicle due to the cable weight. The optimal cable

length is commanded by an automatic winch that retracts/releases the cable forming a catenary curve shape between the ground station and the aerial vehicle. This automatic procedure allows to reduce the disturbances in the vehicle since over-tensions in the cable are avoided. We used a state feedback controller with a tension compensator to control the vehicle altitude as well as its horizontal position, while the vehicle attitude and the winch dynamics are controlled by local state feedback controllers. Finally, in order to demonstrate the effectiveness of the proposed strategy we conducted simulation tests. ID 126 Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons. Enrique Martinez Sanchez, Alejandro Rodriguez Angeles and Jonatan Pena Ramirez. Abstract: In this paper, a hybrid control is proposed for autonomous navigation of a mobile robot in an unknown space with static and dynamic obstacles. This hybrid control is composed by the commutation between an avoidance control based on Hindmarsh-Rose (HR) neurons, which are interconnected by a diffusive coupling, and a posture tracking control. The commutation is in terms of the distance sensors that are incorporated on the frontal hemisphere of the mobile robot. The mobile robot control is implemented at wheel speeds level. A small coupling force is used to take advantage of the desynchronization on the membrane potentials when different inputs (external currents) are applied to each neuron. In this way, a greater sensitivity to any detection is obtained and a strategy of lateral avoidance is generated. On the other hand, a dynamic coupling is used to establish a strategy of frontal avoidance. Additionally, the performance of the proposed controller is numerically illustrated by means of computer simulations.

Biomedical Engineering/ Biomimetics (BIO) Session BIO 1 Wednesday November 10th, 2021 12:00-14:00 Room 1 Session Chair: Dra. Blanca Tovar Corona


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ID 5 An objective analysis of human snoring based on an acoustic technique to determine the obstruction site. Judith Guzman, Eladio Cardiel, Laura I. Garay-Jimenez and Pablo Rogelio Hernandez. Abstract: Snoring is considered a cause of obstructive sleep apnea syndrome and a significant disturbance of social stability due to the discomfort it can cause in the environment. For these reasons, the study of snoring has generated interest in medicine. It has led to the development of techniques and instrumentation that contribute to improving effective diagnoses and treatments. The acoustic analysis of snoring signals has gained importance in recent years. Consequently, the acoustic characteristics of snoring have been explored as primary medical care alternatives, complemented with polysomnography to study mainly cases of apnea syndrome. However, polysomnography is expensive, both in implementing specialized infrastructure and carrying out the studies, invasive and not very accessible due to waiting times. Using current techniques in speech recognition, the acoustic analysis of snoring is of particular interest and shows promise as a medical alternative. In this work, an application of contemporary speech analysis techniques in the snoring signal, obtained without sedation of the patient, is proposed to determine its relationship with the site of obstruction that originates it that eventually could improve its treatment. ID 8 Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset. Geovanny Palomino-Roldan and Ernesto Suaste-Gomez. Abstract: The analysis of human reflexes has been very useful for the study of human behavior. Specifically, the Vestibulo-Ocular Reflex (VOR) has been studied to solve problems related to posture, gait, balance, and human movement in areas such as aviation medicine, rehabilitation and even in marketing. On the other hand, virtual reality (VR) has been used as a teaching method and for the development of therapies. There are studies that have focused on the alterations that a subject experience when using these technologies as a VR headset. Some reports have analyzed the VOR before and / or after the use of these technologies, but not

during the use of them. The goal of this work is to analyze the VOR through its gains while the subject is immersed in a VR scenario. For this, we use a mini-camera and sensors to detect the movements of the head and the eye. The tests consisted of inducing VOR in the subject while experiencing a VR immersion. Knowing the moment in which the VOR was induced and through a statistical analysis of the gains obtained, we were able to demonstrate that the VOR was successfully recorded while using a virtual reality headset. ID 10 Phoniatric system based on acoustical analysis for early detection of anomalies in voice production. Ana Laura Cazarín, Eladio Cardiel, Laura I. Garay-Jimenez and Pablo Rogelio Hernández. Abstract: An objective evaluation of voice quality using phoniatric parameters to analyze acoustic signals generated during phonations has been developed. The system used the Voice Handicap Index questionnaire to quantify the perception of the vocal capacity of people, complemented with the measurement of voice acoustic signal parameters obtained from sustained vocalizations. The parameters were statistically evaluated, and then a systematic analysis of seven classifiers with the preselected parameter was done with and without PCA. KNN, RNN, and SVM obtained the best performance with a mean accuracy of 97.4%, 96%, and 94.7%. The proposal can be used to determine alterations in the production of the voice for medical diagnostics. ID 69 EEG motor/imagery signal classification comparative using machine learning algorithms. Alicia Guadalupe Lazcano-Herrera, Rita.Q. Fuentes-Aguilar and Mariel Alfaro-Ponce. Abstract: Electroencephalography (EEG) study allows the recording of brain activity associated with different mental tasks through electrodes placed on the scalp that amplifies the electricity changes at neurons activity. Because of the nature of EEG signals, their interpretation and classification require an expert. Recently, machine learning algorithms for EEG análisis have gained popularity and are applied in various activities such as brain-computer interfaces (BCI), diagnostic of brain disorders, etc. In this work, a EEG classification was performed with different machine learning algorithms; for this, support vector


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machines (SVM), K-nearest neighbor (KNN), quadratic discriminant analysis (QDA), linear discriminant analysis (LDA), Naive Bayes (NB) and ensemble were implemented, the performance of different algorithms when distinguishing between motor and imaginary movement conditions is presented. From the proposed techniques for EEG classification, the QDA and NB achieve the highest accuracy. ID 82 Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks. Rodrigo Leite-Prates, Wilfrido Gómez-Flores and Wagner Coelho de Albuquerque Pereira. Abstract: Anatomic regions like breast and pectoral muscle are common regions that need to be segmented before determining abnormalities in the mammographic image. For this task, we explore five convolutional neural network models, namely, Resnet50-Unet, Mobilenet-Unet, Vgg-Unet, Unet, and Segnet. A classic technique that uses an MLP network is compared with the convolutional methods. The MIAS and INbreast datasets are used for evaluating Deep Neural Networks on the segmentation of these regions. Several evaluation metrics are used to compare the results of the convolutional approach and a traditional method based on hand-crafted features. The results confirm the superiority of the deep networks over the traditional method. The best Jaccard value for Deep Learning algorithms is 0.945+0.068. The Mobilenet-Unet network presented the best trade-off between computational cost and segmentation capacity, being, therefore, the best choice to compose a CAD system. ID 83 Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot. Rafael Bayareh Mancilla, Christian Daul, Josefina Gutiérrez Martínez, Arturo Vera Hernández, Didier Wolf and Lorenzo Leija Salas. Abstract: This work presents an improvement to a linear model obtained by Bayareh et al. in 2017, by training an Artificial Neural Network (Perceptron) and optimized by Gradient Descent. The objective of characterizing an IR radiometric sensor with a mathematical model is to predict the surface

temperature of the body under study (e.g. diabetic foot) to perform quantitative thermography studies related to early detection through temperature difference. The data was obtained by measuring IR radiometric information on a phantom under a controlled environment. Subsequently, the predicted model was compared to the original characteristic equation. The artificial neural network model had an error of 0.14°C while the original model had an error of 1.28ºC to an industrial purpose camera, previously calibrated. However, the improvement could also be attributed to the improvement of the characterization conditions. The new model could support the study of quantitative thermography with embedded systems whose sensors are not able to interpret temperature from factory settings, especially in studies focused on the difference of temperatures that support the diagnosis from the quantitative point of view. Session BIO 2 Thursday November 11th, 2021 15:00-17:20 Room 1 Session Chair: Dra. Blanca Tovar Corona ID 7 Design and Manufacture of a Training System for Ventriculostomy. Abimael Terrones Acosta, Daniel Lorias-Espinoza, Vicente González Carranza, Fernando Pérez-Escamirosa, Jose Antonio Gutiérrez-Gnecchi and Rigoberto Martínez Méndez. Abstract: A neuroendoscopic training system was developed, consists of an algorithm, computer equipment, a pair of cameras and a head anatomical model. By applying well-known equations and using the necessary hardware and software. Images are obtained of the instruments used to always know its position inside the head and the coordinates of the 3-dimensional axes are calculated. The development of the project consists of two main stages: The identification of the instrument on the anatomical model by the implementation of passive markers on it and the registration of the coordinates of the path that the instrument will follow during the training for its subsequent analysis. ID 25


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Interpedicular screw placement image guided navigation surgery simulator. Jose Ruben Huerta Osnaya. Abstract: Abstract-image guided surgery it´s one of the most useful tools to perform precise procedures that otherwise would be impossible, and therefore the need of a risk free training method is one of the most imperative needs in the field of medicine, this project has the goal to develop a prototype for a spine interpedicular screw placement surgery training simulator, achieving both the effective practice to deliver the dexterity needed, along with the safety of avoiding ionizing radiation risks. ID 63 Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ. Karla Itzel Suárez Pérez, Daniel Sarir Apátiga Pérez, Antonio Héctor Dell'Osa and Miguel Ramírez-Barrios. Abstract: Bioimpedance is a property of the tissues, muscles, bones, organs, and other human body components. Because specific bioelectric parameters are associated with anatomical and physiological properties that allow detecting any medical condition, bioimpedance measurement is increasingly used in biomedical and health applications. For the bioimpedance measurement, it is necessary to know the geometry of the medium to be measured since certain electrical characteristics may vary depending on it; this phenomenon is known as anisotropy. On the other hand, bioimpedance measurement equipment is expensive, and it is not portable. Therefore, in this article, bioimpedance measurements are made in chicken muscle tissues by correlating these measurements with the tissue anisotropy using a spectroscopic technique, which consists of taking measurements in a specific bandwidth through a frequency sweep. Measurements are made using the evaluation board EVAL-AD5933. The article contains a detailed description of the anisotropy of the muscle tissues, and the bipolar bioimpedance measurement methodology is presented. The prototype presented is low cost and easy to implement. ID 17 Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals. María Fernanda Ramírez-Peralta, María Fernanda

Romo-Fuentes, Blanca Tovar-Corona, Martin Arturo Silva-Ramírez and Laura Ivoone Garay-Jiménez. Abstract: The occurrence of an epileptic crisis can generate changes in the autonomous nervous system, given the relation between the zones in which an epileptic crisis generates and propagates, and the zones of the brain that control the involuntary responses of the body. Thus, an investigation with the objective of identifying ictal periods in autonomous nervous system-controlled signals that can be, also, continuously recorded through a wearable device is proposed. Two signals are considered, electrodermal activity, obtained from the measurement of the galvanic skin response, and heart rate variability, derived from the analysis of the inter beat interval computed from the photoplethysmographic signal. A database of 11 subjects, composed by these two signals recorded simultaneously with electroencephalography is employed. Time and frequency-domain features were extracted from the electrodermal and hear rate variability signals by taking 4 min segments previous to the beginning of a seizure as interictal, and 4 min segments after as ictal for training, and through a 4 min sliding windowing segmentation for testing, while the electroencephalographic signal was taken as reference to obtain the tags for the ictal and interictal periods. The features were classified using a perceptron multilayer neural network trained with scaled conjugate gradient backpropagation algorithm, obtaining the following results, accuracy: 25.15%, recall: 97.49%, specificity: 0.44% precision: 24.86%, and F2 score: 60.12%. ID 104 Artifacts removal in electrodermal signals. Rosario Ríos-Prado, Blanca Tovar-Corona and Laura Ivoone Garay-Jiménez. Abstract: The removal of noise in signal processing allows optimizing and improving the operation and performance of various computational algorithms. Therefore, this document proposes a procedure for removing artifacts in electrodermal signals to highlight the changes in the signal due to external stimuli. In addition, a proposal is presented for the separation between the phasic and tonic responses. Test using signals with and without artifacts is done, showing significant differences in the output signals. Although the performance of the response separation algorithm alone presents favorable results, the identification of the phasic response stimuli is


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enhanced by the removal of artifacts. The artifact removal technique obtained a detection and elimination of 89.85% of the total counted artifacts. ID 114 Prototype of an Ambulatory Long-Term ECG Monitoring System For Real-Time Detection Of QRS Complex and T-Wave end Based on an FPGA. Jose Alberto García Limón, Frank Martínez Suárez and Carlos Alvarado Serrano. Abstract: A prototype of an ambulatory long-term ECG monitor was developed for the simultaneous acquisition and storage of 3 quasi-orthogonal leads, and its real-time processing for the beat-to-beat detection of QRS complex and T-wave end for the measurement of heart rate and RT interval. The prototype has as its core a Field Programmable Gate Array (FPGA) of Xilinx Artix-7 embedded in a CMOD-A7 development board, it also controls and communicates with an ADS1294 circuit for the acquisition of the simultaneous ECG leads (D1, aVF, V2) and a micro-SD memory for the storage of these leads and the heart rate and RT interval beat-to-beat values. The prototype has a bandwidth of 200 Hz delimited by a digital FIR filter, a minimum CMRR of 112 dB at 60 Hz, a resolution of 0.76 µV and an average current consumption of 85 mA which allows a minimum battery life of 36 hours. The evaluation of the QRS complex and T-wave end detection algorithms implemented in the FPGA was performed with 10 records of the QT database. For the QRS complex detection the accuracy was of 97.8%. For the T-wave end the measurement error was of 5.14±7.07 ms, which was within the tolerance limits for deviations with respect of the manual measurements made by the CSE experts. ID 37 Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in wáter. Edel-Serafin Hernandez-Gomez, Jose-Luis Olvera-Cervantes, Benito Corona-Vasquez, Alonso Corona-Chavez, Tejinder-Kaur Kataria and Maria-Elena Sosa-Morales. Abstract: The total dissolved solids (TDS) is a parameter considered for different agencies and organizations. The TDS is typically determined by the ionic strength. The magnesium sulfate heptahydrate is an electrolyte that produces SO42- and CaCO3 in

water and changes its ionic strength. The elimination of therapeutic agents, beverages and other domestic products not used at home, which contain magnesium sulfate heptahydrate, and the agricultural use of fertilizers are sources of magnesium sulfate heptahydrate in the environment. In this work, the complex relative permittivity of liquid samples with different ionic strength levels due to magnesium sulfate heptahydrate dissolved in water is presented. The study covers an ionic strength range from 0 M to 10.553 M. The measurements are performed with an open coaxial probe in a range from 500 MHz to 20 GHz and the Havriliak-Negami model parameters are presented for the different samples. The dielectric constant does not exhibit as high change as loss factor in relation to ionic strength. The loss factor at 500 MHz is used to determine the ionic strength due to magnesium sulfate heptahydrate. The fitting curve shows a second-grade polynomial whose ionic strength goes from 0.0008 M to 8.1179 M and the loss factor at 500 MHz goes from 2.4 to 213.82. Therefore, the open coaxial probe can be used for measuring a wide ionic strength range.

Computer Science and Computer Engineering (CS) Session CS 1 Wednesday November 10th, 2021 16:00-18:00 Room 1 Session Chair: Dra. Alicia Morales Reyes ID 22 Visual-based Real Time Driver Drowsiness Detection System Using CNN. Jonathan Flores-Monroy, Mariko Nakano-Miyatake, Gabriel Sánchez-Pérez and Hector Pérez-Meana. Abstract: The traffic accident is one of the most frequent cause of death in the world; and an important cause of the traffic accident is the fatigue of the driver, who falls asleep during driving. To overcome this problem in this paper, we propose a real-time driver drowsiness detection system, in which the driver’s face region is extracted and introduced into a specific designed shallow convolutional neural network (SS-CNN). The SS-CNN detects the state of driver drowsiness using “eye


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closure” or “eye open” state. To distinguish between the “eye closed” state caused by normal eye blinking and that caused by drowsiness, the proposed system analyzes consecutive results of the SS-CNN. If the system determines that driver falls asleep, an alarm rings to awake the driver in order to avoid a possible accident. The proposed SS-CNN provides an accuracy of 98.95%, which outperforms the previous works. In the experimental section, we provide several links in which real-time operations of the proposed system can be observed. ID 72 Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering. Cesar Barron-Rubio and Ernesto Lopez-Mellado. Abstract: Nowadays, models play a relevant role in the analysis and monitoring of processes carried out by organizations. Process discovery deals with the automated building of models from logs of event traces, which represent the executions of actual processes. However, when the logs come from highly flexible environments, most of the discovery algorithms obtain excessively complex models, which makes difficult their analysis. Trace clustering is a suitable approach to deal with this problem; it consists of dividing the logs into subsets, such that the executions within the same set are consistent with each other and derive a model for each subset. However, many clustering methods are based on the semantics of the executions, which is not the necessary feature for simplifying the model. In this paper, we propose a vector-based trace clustering approach in which the event traces are encoded as vectors, with the aim to gather the traces generated by the same process variant. The idea behind the method is that the different variants of a process can be distinguished by the corresponding sequential model substructures. Therefore, the proposed encoding method strives to partition the log into the subsets of traces from which those substructures can be revealed. An experimental evaluation with actual event logs shows that the method discovers simpler workflow nets than other available techniques. ID 74 Instance Selection Based on Linkage Trees. Wilfrido Gómez-Flores, Samuel Omar Tovias-Alanis and Gregorio Toscano-Pulido. Abstract: Nowadays, the massive production of raw

multivariate data implies an accumulation of redundant information. When machine learning approaches learn from unfiltered data, the training time might increase significantly. This problem can be overcome with instance selection (IS) to obtain a subset of patterns that keep the original underlying distribution. IS has been often addressed as an optimization problem solved by evolutionary algorithms, which usually adopt a binary representation to encode all the instances explicitly; hence, the larger the number of instances, the greater the search space. We propose an IS method based on linkage trees, where cut-off levels per class are encoded to reduce the search space. Thus, the codification length equals the number of classes, which is considerably smaller than the binary codification size. Clusters of instances are created from cut-off levels, and their medoids form the selected subset of instances. The linkage trees cut-off levels are optimized by simulated annealing to find the best subset of instances that preserves the original data distribution with a reduced number of instances. The experimental results on synthetic and real-world datasets show that the proposed approach outperforms IS methods from the literature regarding a tradeoff between classification accuracy, reduction rate, and density preservation. ID 121 Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking. Aldo Yair Tenorio Barajas, Dulce Estefanía Nicolás Álvarez, Andres Reyes Chaparro, Claudia Oliva Mendoza Barrera, Brenda Magaña Trejo and Victor Manuel Altuzar Aguilar. Abstract: Docking tests are cost-effective and widely used to improve experimental biological research. The molecular docking of a data set of decoys and ligands against an acetylcholinesterase protein PDB ID (5HFA) was studied by using two separate software. A minimal difference was found between the results of decoys and active molecules, indicating that positive and false-positive results are difficult to distinguish. The initial seed and exhaustivity effect was evaluated, showing that the initial settings can be manipulated and affect the results. ID 87 Automatic Generation of Test Cases from Formal


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Specifications using Mutation Testing. Román Jaramillo, Raúl González and Pedro Mejía. Abstract: Testing of complex software systems of ten needs the execution of thousand of tests cases to find errors in the code and to ensure high integrity systems. Hence, it requires the testing tasks to be automated. Test case execution entails establishing preconditions and input data, observing output results,and comparing those results with a given oracle. This work presents two contributions: it uses a Particle Swarm Optimization (PSO) algorithm as a test case generator and also uses mutation testing on formal specifications using SOFL. Using mutation testing on formal specifications allows to find new test cases that would kill more mutants, resulting in a test suite potentially capable of finding more errors. The PSO algorithm is applied to generate the values of the input (test case). Software examples are used in this work to show the high efficiency of our testing framework Session CS 2 Thursday November 11th, 2021 9:00-11:00 Room 1 Session Chair: Dr. Wilfrido Gómez Flores ID 12 Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification. Cinmayii Garillos-Manliguez and John Chiang. Abstract: Maturity of fruits significantly affects various areas of the agriculture industry such as the quality assurance of agricultural products, supply chain, and marketing. However, classifying papaya fruit maturity given six ripeness stages with precision remains a challenge since most changes happen inside the fruit rather than the external characteristics, which are quite similar between stages. Using internal properties in classification would require destructive and time-consuming laboratory tests. With the emergence of deep learning and imaging technologies, data with high dimensions, which correlates with internal and external characteristics of an object such as those produced by hyperspectral cameras, can be processed to perform a high-level intelligent classification task without impairing the fruit. In this paper, we present an AI-derived non-destructive approach that utilizes hyperspectral and visible-light images in estimating the papaya fruit maturity stage

and implements multimodality via late fusion of imaging-specific networks. The proposed multimodal architecture is composed of imaging-specific deep convolutional neural networks as base learners and a meta-learner that executes late fusion of the dual unimodal networks. Multiclass logistic regression and averaging are explored as the meta-learners of the multimodal fused network that generates the final classifications. Experimental results of the proposed multimodal-late fused models are compared with the multimodal-feature concatenation approach for estimation of papaya fruit maturity, and our proposed model framework obtained an improved F1-score of up to 0.97. This indicates that multimodal-late fused architecture and multimodal imaging systems have great potential for agricultural and other industrial applications. ID 20 A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction. Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan and Sanzida Islam. Abstract: Diabetic is a disease that occurred when the level of blood glucose is higher than usual, which is also known as hyperglycemia. When the human body is incapable of producing enough insulin(a hormone that produces glucose from food), then this situation leads to diabetes. The rapid increase of this disease makes the researchers work much harder in this area to build a model for diagnosing diabetes efficiently. As in healthcare, the availability of data is high, so it is easy to extract information from those data to diagnose disease and develop a new model for better results. This paper aims to introduce a model that can predict diabetes efficiently with the help of machine learning algorithms. Here logistic regression, SVM, and k nearest neighbor algorithms have been used for the classification of diabetics. After data preprocessing and training, those algorithms gave a good result. Logistic regression provided the best accuracy of 83%. Also, SVM and knn both performed well and showed an accuracy of 82% and 79%, respectively. The proposed model has demonstrated improved results compared with previous work. ID 81 A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm. Sayed Pedram Haeri Boroujeni and Elnaz Pashaei.


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Abstract: Microarrays dataset contains a huge number of genes and a few samples. This issue can lead to the curse of dimensionality in large datasets. To overcome this challenge, gene selection is a method used for identifying the independent genes and removing redundant or noisy ones from the dataset. This study proposes a novel hybrid approach based on the combination of Random Forest Ranking (RFR) and Binary Dragonfly Algorithm (BDA) to identify the significant genes. The proposed method comprises two steps. In the first step, RFR is employed to remove irrelevant genes and select the subsets of optimal genes. In the second step, BDA is applied to select the most informative genes that can lead to the accurate detection of cancer. The BDA optimizer is a recently proposed metaheuristic algorithm that utilizes Naïve Bayes (NB) classifier as an evaluator. In this paper, four microarray datasets are used to evaluate the performance of the proposed hybrid approach. Experimental results illustrate that the proposed work significantly outperforms existing meta-heuristic methods regarding classification accuracy and the optimal number of selected genes. ID 92 Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis. Zhengmao Ye. Abstract: Digital image segmentation focuses on separation of one or more features in an image based on certain similarity or discontinuity criterion. It is inevitable for the aerial imagery to be contaminated by artifacts and noises, which causes extra blurry boundary, intensity inhomogeneity, and high complexity. Both edge based and region based feature detection are broadly applied to segmentation of digital aerial imagery. Numerous comparative results between the two have been obtained based on qualitative analysis, while conclusions are lack of convincing data-driven evidences instead. In this article, the systematic quantitative analysis approach is proposed to compare two dominating feature detection techniques using the RGB model and HSI model, from both the frequency domain and spatial domain perspectives. Three popular digital image segmentation schemes are employed for comparisons, including Canny edge detection, Gabor edge detection, and kernel fuzzy C-Means clustering. A useful set of quantitative information metrics has

been introduced, such as the discrete entropy, mutual information, homogeneity, contrast, and dynamic range, in order to enhance the decision making accuracy on feature detection and ensure information integrity. ID 111 Effect of Rate of Change of Stock Prices with News Sentiment Analysis. Sashank Sridhar and Sowmya Sanagavarapu. Abstract: Mapping the variations of stock prices in the market has proven to be a challenge to, considering impact of macroeconomic factors, such as news headlines on them. In this paper, a novel framework is implemented for predicting the effect of rate of change of stock prices through news sentiment by using a standard dataset with closing stock price rates for a chosen period. Random Forest classifier to extract the sentiments from day-today news articles to identify their polarity as positive, or negative. Bi-directional Long Short-Term models are implemented to map the sliding windows of prices along with corresponding sliding windows of sentiment scores of the articles. Thus, hybrid architecture that combines a Bi-LSTM based time series prediction model with a Random Forest based sentiment analysis model is developed and compared with some of the existing state-of-the-art methodologies. The polarity of news sentiment is determined with an accuracy of 84.92% and the price prediction model performs best with 10 headlines achieving a R-squared score of 74.84%. ID 123 Supervised Neural Network for Offline Forgery Detection of Handwritten Signature. Muhammad Aslam, Ana Maria Martinez Enriquez and Saleem Summra. Abstract: —Authorized high security systems for legal contracts is need of the hour for an automatic authentication system. This study investigates the off-line signature verification system to identify skilled forgery based on Writer-Independent system approach. This research advances our understanding of layer architecture in deep convolutional neural network (CNNs) to perform specific task using optimized learning parameters. Four layered architecture with Adam optimizer produces significant accuracy of 88.39% for self-generated off-line hand written signatures. The proposed model


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efficiently classifies forged signatures from genuine ones Session CS 3 Friday November 12th, 2021 13:00-14:00 Room 1 Session Chair: Dr. Miguel Morales Sandoval ID 38 A Lightweight Security Protocol for Beacons BLE. Karla J. Campos-Cruz, Cuauhtemoc Mancillas-López and Brisbane Ovilla-Martínez. Abstract: The increasing interconnection of everyday devices in the so-called internet of things raises several concerns regarding the security and privacy that must be considered to protect the information emitted by them and the applications that use them. Many internet-of-things devices are equipped with restricted microcontrollers that do not have efficient security systems. One such device is the Bluetooth beacon. Beacons are devices that emit Bluetooth low-energy signals. Applications using beacons are novel, but they lack security mechanisms due to the Bluetooth low-energy specification and the limited resources of beacons. This paper discusses the main security threats faced by applications using Bluetooth beacons. In addition, a security protocol based on lightweight cryptography is proposed for the establishment of a shared secret key and the generation of ephemeral identifiers as a countermeasure against security threats in these types of applications. ID 66 A Generalized Lagrange Multiplier Method for Support Vector Regression. Sara Eugenia Rodríguez Reyes, Pablo Benavides Herrera, Gregorio Alberto Álvarez Álvarez, Riemann Ruiz Cruz and Juan Diego Sánchez Torres. Abstract: This paper presents an approach to support vector regression that extends the classic Vapnik's formulation. After recalling that the classic formulation contains a Lasso regularization structure in its dual form, we propose an generalized Lagrangian function with additional terms to include the Ridge regularization in the dual problem. In this form, by including both regularization methods, the resulting dual problem with the generalized

Lagrangian comprises an elastic net regularization structure. Hence, as an immediate consequence, the classical formulation turns out to be a particular case of the current proposal. Finally, to demonstrate the capabilities of this approach, the document includes examples of predicting some benchmark problems. ID 77 Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras. Andres Manjarrés García, Carlos Osorio Quero, Jose Rangel-Magdaleno, Jose Martinez-Carranza and Daniel Durini. Abstract: One of the most recent applications of compressive sensing is single-pixel cameras, where an image is generated by a reduced set of measurements. This new type of camera has already been implemented in many ways but always relying on a powerful CPU or GPU to run the reconstruction algorithms, limiting the portability and increasing the power consumption of the entire system. In this work, a well-known compressive sensing algorithm called TVAL3 is implemented in a Xilinx SoC embedded device. This algorithm has been used in multiples works of compressive sensing for single-pixel cameras due to its image reconstruction performance. The used device is a Zynq-7000 SoC that has an ARM CPU and allows hardware acceleration via FPGA. The hardware accelerator allows speedup the most time-consuming part of the algorithms to contrast the retard caused by the low-spec CPU. The proposed FPGA accelerator implementation was compared with the CPU-only version as regards quality reconstruction and speed. The results show a nearly 10x improvement in the consumption time and a no reduction in the quality of the reconstructions. The new implementation can be used to the initial phase of new, more portable, and faster single-pixel cameras.

Mechanical Engineering (MEE) Session MEE Thursday November 11th, 2021 16:00-17:00 Room 2 Session Chair: Dr. Manuel Arias Montiel ID 2 Influence of MMT Reinforcement Fraction Variation


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on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive. Jean Carlos Criado Jiménez, Carolina Abril Carrascal and Carlos Steven Sánchez Rincón. Abstract: Industries such as aeronautics, automotive, aerospace, require low density materials with high mechanical and thermal resistance as an alternative, for which polymer matrix composites are usually chosen. In this work, the effect of the percentage variation of the MMT clay fraction in a polycarbonate (PC) matrix on its mechanical and thermomechanical properties is studied. To obtain this composite, powdered clay was used as reinforcement, in percentages of 1;1;5;2;3;3 and 5%, and Acrylonitrile Butadiene Styrene (ABS) as an additive in 7/3 w/w proportions. Tensile, Charpy impact, load deflection temperature (HDT) and Rockwell hardness (HRB) tests were performed. The composites with 3 and 5% clay exhibited a 49% increase in tensile strength, 33% in toughness, 17% in load deflection temperature and 44.16% in HRB hardness, with respect to the unreinforced matrix. This new composite material represents an innovative alternative that significantly outperforms the mechanical and thermo-mechanical properties of traditional polymeric materials. ID 98 Parametric identification of a magnetorheological damper based on Genetic Algorithm. Andres Rodriguez-Torres, Jesús Morales Valdez and Wen Yu. Abstract: —This paper presents an identification system for model parameters of a magnetorheological damper (MRD) through a Genetic Algorithm (GA). First, a novel model of the hysteretic phenomenon is introduced through the trigonometric function tanh, which represents an alternative simple model for MRD. Moreover, the representative curve of the dampers is demonstrated by means of simulation. Finally, model validation is carried out through an experimental non-linear parameters identification based on GA. An advantage of this method is that does not require filtered data, and model parameterization is not required. The employed Genetic Algorithm in identification system was programming by means of the Evolver tool, which is an additional Excel package ID 29 Soft computing tools for multiobjective optimization

of offshore crude oil and gas separation plant for the best operational condition. José H. Mendoza, Rasikh Tariq, Luis F Santis Espinosa, Francisco Anguebes and A. Bassam. Abstract: The selection of operating conditions in the oil and gas separation plants is obtained through data monitoring or through the experience of the operating personnel which can bring operational difficulties leading to inefficiencies and capital loss. The modern techniques of soft computing including artificial intelligence and genetic algorithm-based optimization can add value to this operation. In this work, five key controllable design variables of an oil and gas separation plant are optimized considering two performance indicators (oil flow productivity and gas compression power). The physical model of the plant is simulated using ASPEN HYSYS, and a digital twin model is generated using an artificial neural network. It is followed by a multiobjective optimization using non-dominating sorting genetic algorithm II to obtain the Pareto front. The results have indicated that operational optimization can enhance oil production by up to ~6.2% and decrease the compression work by ~3.2%. It is concluded that the proposed operation of the plant is energy-efficient and can increase productivity.

Mechatronics (MEC) Session MEC 1 Thursday November 11th, 2021 9:00-11:00 Room 3 Session Chair: Dr. Alejandro Rodríguez Ángeles ID 50 Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea Surface. Maria Karen Gonzalez, Victor Golikov, Hussain Alazki and Oleg Samovarov. Abstract: Much interest has arisen in the problem of automatic video detection of small low contrast floating objects on a sea surface. The Modified Matched Subspace Detector (MMSD) has been recently proposed for detecting a barely discernible object in an agitated sea surface. MMSD uses the intensity difference between the sea and the object


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at relatively high frequencies. In the literature the performances of this detector has been evaluated using only a sea model (additive Gaussian background clutter). In this paper we realize a comparison between classical Matched Subspace Detector (MSD) and MMSD using real sea images with synthetic model of the reflections from floating objects. This paper investigates the comparative MSD and MMSD performance, provided that the energy reflected from the object is equal to the energy reflected from the sea. The paper considers the dependence of the detection probability with a fixed probability of false alarm on the difference between the average of reflections from the sea surface and from a floating object at the different MMSD parameters and standard deviations of reflections from the object and the sea surface. ID54 Obstacle avoidance in leader-follower formation using artificial potential field algorithm. Javier Lagunas, Rafael Castro and Jaime Alvarez. Abstract: In this paper, a formation control method for two non-holonomic mobile robots is presented. The mobile robot formation achieved the goal while avoiding the obstacles. The control algorithm presented consists in 1) avoiding the obstacles using potential forces by the artificial potential field methodology and 2) the leader-follower technique for the formation approach. In the proposed methods, the leader of the formation plans the path applying the potential field algorithm and the follower maintains a desired distance and a desired bearing angle with respect to the leader. Moreover, the proposed algorithm avoid the local minimum problem in the formation, implying the leader Will reach the goal without having to stop due to the equal forces of attraction and repulsion. The stability of the tracking problema was described using a Lyapunov function to validate the proposed method. Simulations results were showed in order to verify the theoretical method. ID 94 Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications. Jetzael Cuazoson, Daniel Ferrusca, Jesus Contreras, Eduardo Ibarra-Medel, Miguel Velázquez, Stanley Kurtz and David Hiriart.

Abstract: We present the electronic architecture of the main control stage and a description of the peripherals' management firmware of a dual-channel water vapor radiometer. The system is based on the Raspberry Pi computer with low-cost peripherals to perform data acquisition at 23 and 31 GHz, with capabilities of wireless communication and control mode for remote operation. The system is mounted in the WVR III+ radiometer of the Hartebeesthoek Radio Astronomy Observatory of South Africa and its intended use is for sky characterization of existing and future radio astronomical sites. ID 95 Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification. Mohammed Youssef and Hesham Ibrahim. Abstract: This paper proposed a machine learning methodology for model-based fault detection and isolation of automotive engines. A hybrid approach is implemented by utilizing both model-based residuals generation alongside a long short-term memory neural network (LSTM NN), which is a structure that can adaptively learn the dynamics of the residuals and perform the fault detection and isolation of automotive engines accordingly. Mathematical models for the combustion engine and its corresponding faults were constructed to synthesize the data required for neural network training. The network was able to fairly classify between different operating conditions with high accuracy, showing the great potential of utilizing LSTM as a robust technique in engine fault diagnosis. This approach proved efficient in terms of eliminating the need for constructing structured residual generators or feature extractors, while giving higher flexibility and less demand for expertise in modeling the system as it is adaptable to both physical-based and data-driven models. ID 108 Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals. Sergio Daniel Sanchez Solar, Gustavo Rodriguez Gomez, Angelica Muñoz Melendez and Jose Martinez Carranza. Abstract: Mobile robots have been deployed in civilian applications. From this family of robots, there is one with interesting properties: the spherical robot.


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Controlling this type of robot is challenging; even if non-holonomic, it could navigate uneven terrains where other wheeled robots would get stuck. Given that their components are embedded inside the body of the robot, they can be deployed in hostile environments. Motivated by the latter, the design and implementation of a PID controller for a spherical robot with two degrees of control is presented, namely, lateral and longitudinal motion. Our controller uses stochastical signals to tune and control lateral and longitudinal motion in a robust manner. Our approach has been tested in path planning tasks, moving from one point to another, avoiding obstacles on the way. We use semi-circle trajectories to resolve the path planning and present results in simulations to demonstrate the effectiveness of our approach. Session MEC2 Friday November 12th, 2021 13:00-14:00 Room 3 Session Chair: Dr. Jesús Linares-Flores ID 24 Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform. Axel Coronado, Alejandra de la Guerra Carrasco and Luis Alvarez-Icaza. Abstract: This article presents the application of the InstaSPIN-FOC™ solution by Texas Instruments to validate a disturbance observer for a permanent magnet brushless DC (BLDC) motor, providing experimental set-up and programming description. Results compare the disturbance observer performance against the FAST observer included in the InstaSPIN-FOC™ and provide a guide to easily test other observer schemes. Two high definition webcams were used to digitize passive markers on the surgical tools in a MATLAB processing algorithm to recreate 3 bidimensional perspectives reading their spatial position and orientation, on each one insertion depth and angle is calculated. Then through MATLAB´s user interface generator the information is displayed to the user, both in graphical and numerical form. Laboratory proof of concept test sets were run in order to prove the precision, accuracy and reliability. The system was tested, both section by section and as whole prototype, in both cases the results were satisfactory. Section by section achieving the specific

purpose, and as a whole prototype being able to successfully identify the used tool, it´s spatial position, depth and angle of the insertion, and showing the information on the users interface by graphic and numeric display. The interpedicular screw placement training system developed, successfully digitized the tool´s position and orientation relative to the vertebra, displaying a 3 perspective bidimensional graphic representation of both, along with the insertion depth and angle, and identifying the tool´s name. In the aftermath the trajectory of the tool´s point is tracked on every perspective, along with a tridimensional recreation of such. Since only laboratory proofs were done, the prototype is yet to be validated as an effective training system, however the proof of concept test shows the efficiency and accuracy to be acceptable. ID 102 FPGA-based accuracy mechatronics of a feed-drive system with ball screw. Carlos Emilio Márquez García, Jesus Lopez Gomez, Fermin Marinez Solis, M. A. Diozcora Vargas Treviño, Sergio Vergara Limon and Victor Manuel Velazquez Aguilar. Abstract: High-accuracy mechatronic systems require a control algorithm to realize trajectories or positions. On the other hand, the acquisition of data and embedded system design configurable is a very important part to guarantees processing in hardware, high performance, reception, and send of data that generally is defined by the applications to which it is intended. Therefore, the increasing demands in the improvement of the accuracy systems based on modern programable devices are being applied in the scientific and engineering areas. This paper presents a novel mechatronic approach to experimental validation of a feed drive system with ball screw. The description of an original FPGA-based configurable design is introduced which consists of an own design approaches of hardware architecture. Finally, based on a built prototype of a feed drive system with ball screw, the PID controller implemented and the mathematical model, in both cases, were applied in order to establish the comparison between the responses, seeking to observe if the experimental results show a great difference with respect to the simulation data. A cost-effective solution using a single chip low-cost FPGA for feed-drive system is presented to the closed-loop control present approximately the same response as that of the system model used in the simulation. Experimental


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results demonstrate an excellent positioning control and processing performance of the data configured on the FPGA Firmware, which validates the feasibility and effectiveness of the proposal. ID 113 Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers. Isaí Jiménez Hernández, Carlos Garcia Rodríguez and Jesús Linares Flores. Abstract: This article presents a rotor position estimation scheme for a brushless direct current motor. This strategy is based on the construction of the so-called G functions, which fulfill the same objective of the commonly used Hall effect sensors, which is determine the switching logic to operate BLDC motors as a simple DC motor. Since these new switching pulses, derive from the G-functions processing, can ideally be determined independently of the motor speed, thus a good low speed performance is achieved. Additionally, this methodology is improved using extended state observers to avoid problems associated with the calculation of derivatives of the phase to phase motor currents.

Nanotechnology (Materials and Applications) (NANO) Session NANO Wednesday November 10th, 2021 12:00-14:00 Room 2 Session Chair: Dra. Eugenia Paola Arévalo-López ID 56 Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications. Manmohan Jain, Sucheta Juneja, Mohit Jain, Kalpana Lodhi, Chander Kant, Ateet Dutt, Yasuhiro Matsumoto and Sushil Kumar. Abstract: Argon plasma treatment was performed on doped silicon thin films using plasma enhanced chemical vapor deposition (PECVD) process under microwave frequency of 2.45 GHz. Initially deposited silicon thin films were annealed for 1 hour under vacuum and then these films were plasma treated under gaseous environment of argon using optimized

conditions (power, pressure) for 30 minutes time duration. These as deposited, annealed and plasma treated films were characterized using atomic force microscopy (AFM) and electrical conductivity extensively as a function of temperature measured in vacuum. The activation energy was also estimated. Argon plasma treated films show higher value of conductivity with improved value of activation energy as compared to annealed and as-deposited films. From these inferences; it can be concluded that the plasma treatment can be an in-situ tool for improving the electronic properties of silicon thin films by allowing probable surface atom rearrangement. This may lead to smoother interface for devices like hetero-junction solar cells which was discussed with a typical model. ID 16 Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD. Manmohan Jain, Andrés Galdámez-Martínez, Ateet Dutt and Yasuhiro Matsumoto. Abstract: We report the deposition of silicon-based photo-luminescent thin-film i.e. silicon oxycarbide (SiOxCy), by using organic catalytic chemical vapor deposition (O-Cat CVD) technique. Tetra-ethyl orthosilicate [TEOS; (Si(OC2H5)4)] material was used as the single source organometallic precursor while tungsten (W) filament was used as a catalyst. The deposition chamber worked under an atmosphere of argon (Ar) gas while the deposition time was 30 minutes. The argon flow was varied from 20-60 sccm to evaluate its influence on the luminescent properties of the deposited films. The films were analyzed by Fourier transform infrared spectroscopy (FTIR) to elucidate the different bonds in the material, and the chemical state of the films was analyzed by X-ray photoelectron spectroscopy (XPS). Through FTIR and XPS measurements, the formation of SiOxCy thin films has been confirmed. The thickness of the films and the refractive index were obtained from an ellipsometer at 632.8 nm wavelength with variable angle measurements. The intense photoluminescence (PL) emissions were observed in a wide range of visible region for as-deposited films. The origin of PL emission is believed to come up either from the incorporation of different luminescence-related defect centers and/or quantum confinement effect in the SiOxCy matrix. ID 70


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Bandgap dependence on facet and size engineering of TiO2: A DFT Study. Francisco Javier Gomez Cano, Araceli Romero-Nuñez, Anish Jantrania, Hongbo Liu, Abdelhadi Kassiba and Velumani Subramaniam. Abstract: A theoretical study of different phases, morphologies, and sizes of TiO2 crystallite is presented. Comparative analysis of structure and properties of anatase, brookite and rutile phases were performed by XRD, un-modified morphology and bandgap. Morphology modification of the TiO2 anatase phase was done by inhibiting the most stable planes, (101) and (011). Optimization of lower bandgap values were finally refined by varying the crystal volumes of TiO2 with (101) inhibited planes. Based on the results, a proposal of the best alternative of TiO2 for visible light activity is proposed considering the phase, inhibition of the growth of specific planes, and crystal size. ID 97 Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering. Javier Sotelo Medina, Daniel Ortiz Gutiérrez, Vyacheslav Elyukhin and Ramón Peña Sierra. Abstract: We investigated how the processing condition of the amorphous Ge (a-Ge) nano-films (growth technique, substrate temperature, annealing conditions and the processing atmosphere composition) influence on their physical-chemical properties. Ge clusters or quantum dots (QDs) in a-Ge nano-films were prepared by a combined process comprising the magnetron sputtering technique and a post-grown annealing stage at 800 K for 3.5 hours in a reducing atmosphere. The a-Ge nano-films were grown in the temperature range from 300 to 800 K. Secondary ion mass spectrometry (SIMS) analysis shown an oxygen content of 3.5×10^21 cm^-3 in the films fixed by operative conditions of the sputtering system. The electrical characterization shown that the samples grown at room temperature resulting insulating, while the samples grown at temperatures over 500 K have n-type conductivity with electron concentration of 3.5×10^19 cm^-3, in average. The optical transmittance and photoluminescence characterization demonstrated that the films have an optical bang gap (Eg) of 1.2 eV, generated by the presence of Ge nanoclusters in the a-GeOx nano-films. The process used in this work demonstrated their potential to nucleate Ge clusters with sizes from

1 to 8 nm in an amorphous matrix, as was proven by X-ray diffraction (XRD) and Raman scattering measurements. ID 103 A Resampling Approach for the Data-Based Optimization of Nanosensors. Patricia Guadalupe López-Cárdenas, Emmanuel Alcalá, Juan Diego Sánchez-Torres and Elsie Araujo. Abstract: Nanostructured sensors are a promising alternative for substance detection from biological samples in food and clinical industries. Linear regression is often used for the design and calibration, relating the sensor response with known concentrations of the substance to be detected. The linear regression slope is then used to estimate the sensor sensitivity and the limits of detection and quantification. These estimates, however, are reported without measures of uncertainty, like confidence intervals. Here we used nonparametric bootstrapping to compute the estimates and their confidence intervals using the data from cyclic voltammetry and compare two classes of sensors. ID 75 Improvement the optical properties of the P3HT:PC70BM film using CdSe QD. Jorge Cruz-Gómez, Aruna Devi Rasu-Chettiar, Francisco Javier de Moure-Flores, Sandra Andrea Mayén-Hernández, Adrián Sosa-Domínguez and José Santos-Cruz. Abstract: Quantum dots have properties that make them useful in almost all areas of science and technology. The active layer of the organic solar cells is no exception; in this work cadmium selenium quantum dots are used to enhance the optical properties of the active layer P3HT:PC70BM. Cadmium selenium is a p-type semiconductor, just like PC70BM; so, its function in the active layer is the same as that of PC70BM. This work reports the synthesis of cadmium selenium quantum dots of three sizes 2.4, 3.0 and 5.6 nm. These materials were obtained by colloidal chemical synthesis at temperatures of 210, 240 and 280° C respectively. Using spin coating, thin films of the mixture of each size of quantum dots were grown in combination with P3HT; in addition, films of the commonly used mixture of P3HT:PC70BM were grown, as a reference to compare its operation. With cadmium selenium quantum dots an improvement in radiation


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absorption was found compared with the usual active layer.

Power Electronics (POW)/ Communications Systems (COMM) Session POW/COMM Friday November 12th, 2021 13:00-14:00 Room 2 Session Chair: Dr. Adrián René Ramirez López ID 73 Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function. Francisco B. González Sáenz and Omar Sandre Hernández. Abstract: This paper presents the design of a continuous control set model predictive control (CCS-MPC) for a permanent magnet synchronous machine (PMSM). The CCS-MPC is designed for the control of the stator currents of a PMSM following a similar scheme to the one introduced in field oriented control (FOC). In the presented CCS-MPC, the proposed cost function is modified by the introduction of a set of orthogonal functions known as Laguerre functions. Furthermore, an exponential cost function is introduced to afford long horizon predictions. The control law is derived by the formulation of a constrained optimization problem. By the introduction of the Laguerre functions and the exponential cost function, the computational burden is reduced and a long prediction horizon can be accomplished. Simulation results on Matlab/Simulink are presented to verify the performance of the proposed methodology. ID 96 DFT-based phasor estimator using a MAF with a phase-lead compensator. Rafael Escudero, Luis Ibarra, Pedro Ponce and Arturo Molina. Abstract: Due to the advancing complexity of the electrical power system, phasor estimators are becoming essential for measuring its dynamics. Many estimators are now needed to effectively monitor some grid, interacting as a wireless sensor network. However, the smart sensors (SS) comprising such

network are low-cost devices capable of running low computationally loaded algorithms. As a result, fast yet complex methods based on Kalman filters and the wavelet transform could not be applied and a simpler approach is needed. The Fourier filter (FF) emerges as a solution since it has a low computational load and incorporates a moving average filter (MAF) that eliminates harmonics, yet causing a significant phase delay undesirable in fast-response applications. Then, it is proposed here to add a phase-lead compensator to the MAF to solve its phase delay problem while preserving the algorithm’s simplicity. This estimator was compared with the conventional FF and the cosine filter (CF) in IEEE C37.118.1 standardized tests to analyze its performance under harmonic, amplitude, and phase angle step changes. The proposal did meet all the standard requirements, yet slightly increasing the estimation error, and was also tested over the IEEE 13 node test feeder, showing a faster response than the FF and the CF. ID 13 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks. Giselle Galvan-Tejada and Jorge Aguilar-Torrentera. Abstract: The incorporation of unmanned aerial vehicles (UAVs) or drones to the fifth generation of mobile communications systems (5G) is addressed in this paper, remarking challenges and mutual benefits for both technologies. Two configurations of these vehicles are described, on the one hand, operating as on-the-fly base stations, and otherwise, simply as user equipment. As explained, in any case the altitude of these devices provides certain advantages over ground stations, like better propagation conditions, and the difference lies in the capabilities that each configuration has. In contrast, the interference caused by these better propagation conditions and its impact on the system performance is pointed out. We also postulate that the combination of aerial-terrestrial infrastructures forms a new perspective both in time and space, which is derived from the drones’ dynamics. Thus, diverse variables are identified through the paper, which are related to the operation of UAV-5G networks. Basically, these variables are latency, interference, effects of altitude, energy consumption, and channel modeling. Among these, a sensitive parameter is the latency, for which some approaches are exposed including the well-known mobile edge computing concept as an alternative to process information in a local manner. Key points are finally highlighted for future


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implementations.

Solid-State Materials, Electron Devices and Integrated Circuits (SSM) Session SSM 1 Wednesday November 10th, 2021 16:00 – 18:00 Room 2 Session Chair: Dr. Jose Santos Cruz ID 40 Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots. Evelyn B. Díaz-Cruz, E. Regalado-Pérez, Jorge Cruz-Gómez, X. Mathew, F. J. de Moure-Flores, Francisco Paraguay-Delgado and José Santos-Cruz. Abstract: Colloidal quantum dots (QDs) as one of the most typical materials are widely utilized for the development of light-emitting diodes, photodetectors, and solar cells. Recently, an emerging process of PbS QD incorporation between the perovskite and the hole thin layer has shown favorable results in the power conversion efficiency. In this work, we incorporated PbS quantum dots in colloidal solution as interface modification between perovskite and hole-transporting material (HTL) layer in perovskite (PVK) solar cell. The results reveal that the use of PbS quantum dots improvement the stability of the solar cell when its temperature is increased up to 100 ° C. ID 41 Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator. Ashok Adhikari, Ganesh Regmi, Dr. Velumani Subramaniam, Luis Dorian Valencia Ordonez, Jorge Evaristo Conde Diaz and Homero Castaneda-Lopez. Abstract: The CuInSe2/CuInGaSe2 (CISe/CIGSe) thin film solar cells (TFSC) are focused on photovoltaic technology due to their environmental prospects, device efficiency, and cost considerations. The high photovoltaic cell efficiency (PCE) and low fabrication cost are generally preferred in solar cells for

industrialization. The precursor materials, deposition methods, growth conditions for semiconducting materials can impact solar cell performance. Therefore, scrutiny investigation on the latter parameters is required for getting high-quality solar cells. In this study, the novel hybrid deposition method is applied for CISe absorber layer synthesis to improve PCE and reduce the fabrication costs. And also, a SCAPS-1D simulator is employed to design and optimize the properties of the materials used in CISe TFSC. The main parameters such as thickness and carrier concentration of each layer used in CISe TFSC were analyzed and optimized for attaining as high PCE as possible. The optimized PCE for CISe TFSC through SCAPS-1D is 22.81%, which is slightly lower than the record PCE for CISe TFSC. Once the CISe TFSC solar cell is theoretically optimized, then the experimental parameters of CISe and CdS thin films were replaced in the optimized simulation and results were analyzed. The PCE of 19.35 % is observed for CISe TFSC after substituting experimental parameters of CISe and CdS thin films. The minor change in PCE of CISe after replacing experimental parameters is mainly due to the decrease in fill factor of the solar cell. Thus, a theoretical simulation can guide an idea for doing experimental work to prevent the waste of precursor materials and research time. ID 19 Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells. Jesus Fernando Solis Vivanco, Rasu Chettiar Aruna Devi, Maria Concepcion Arenas Arrocena, Adrian Sosa Dominguez, Francisco Javier De Moure Flores and Jose Santos Cruz. Abstract: Energy level and power conversion efficiency were investigated in the inverted organic solar cells with configuration FTO/TiO2/P3HT:PC61BM/MoO3/Ag and FTO/PFN/P3HT:PC61BM/MoO3/Ag structures in a double electron transport layer (ETL) organic solar cell with configuration FTO/TiO2/PFN/P3HT:PC61BM/MoO3/Ag. The influence of TiO2 and PFN as ETL was evaluated individually and together, in solar cells and an UV-Vis experiment, showing that the use of a double ETL can increase the efficiency up to 2.5 times compared to cells where only a single layer was used. The best cell built with double ETL showed a maximum efficiency of 4.29%.


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ID 46 Graphene for a green-environmentally methodology with organic surfactants. Bruno Renato Flores-Hernández, Francisco Javier de Moure-Flores, Sandra Andrea Mayén-Hernández and José Santos-Cruz. Abstract: A method for the preparation and characterization of graphene using 6 commercial detergents and sodium cholate by using two different equipment: sonication bath and a mix reactor is presented. For the experiment, a sonic bath with variable frequency and a beaker of 100 mL were used for testing. There were used different reactive varying its concentration (0.01 g mL-1 to 1 g mL-1), duration of the experiment (30 minutes to 25 hours), initial concentration of graphite (0.1 g mL-1 to 8 g mL-1), spin time (15 minutes to 1 hour), the centrifuge speed (500 rpm to 2000 rpm) and frequency for sonication (20 kHz to 45 kHz). Samples were taken and subsequently washed on a Buchner funnel with deionized water and methanol, and then be dried to store as powder. Finally, they were analyzed by UV-VIS to determine the concentration in the samples, Raman spectroscopy looking for crystallization patterns of graphene, TEM and HRTEM in order to determine the number of layers of graphite stacking ID 85 Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters. Luis Dorian Valencia Ordoñez, Jorge Evaristo Conde Diaz, Carlos Alonso Meza Avendaño, Marco Antonio Zúñiga Reyes, Irving Geovanny Zuñiga Santiz, Ashok Adhikari, Velumani Subramaniam and Heber Vilchis Bravo. Abstract: Solar energy is one of the very promising renewable energy sources, which can provide tremendous energy for a long period. Besides, it is non-pollutant and available freely. Solar energy can replace the potential to replace the non-renewable energy source for energy production. Among the various generation of the photovoltaic (PV) technology, the CuInGaSe2 (CIGSe) is a thin film solar cell (TFSC) has attracted for transferring solar energy into the electrical energy. The recent focus on the CIGSe based TFSC is due to its material properties that can reduce the cost and improve the device performance. In this study, the high photovoltaic cell efficiency (PCE) of CIGSe TFSC is first optimized through the Silvaco Atlas simulator. A maximum PCE

of 21.92 % is observed from the simulation. Then the device performance and recombination profiles are studied after replacing the experimental parameters of the CIGSe absorber layer. Afterward, a similar study is carried out after substituting the experimental parameters of CIGSe absorber layer and CdS buffer layer. The PCE of 15.01% is observed after replacing the experimental parameters of CIGSe and CdS with the optimized condition, which is lower than the optimized conditions showing the presence of recombination centers in the device. Hence, analyzing these simulated results can guide information about the best material parameters which contain fewer defects and good quality. ID 112 Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process. Citlalli Vázquez, César Camas, Jorge Conde and Héber Vilchis. Abstract: In recent years, thin film technology has demonstrated a high capacity to produce solar cells with higher efficiencies and with improved properties compared to crystalline silicon cells. This type of cells are made up of layers of different semiconductor materials that act as the active region; among the best known are those based on cadmium telluride (CdTe) and gallium-indium-copper diselenide (CIGS). CIGS have become one of the most promising semiconductor compounds for the production of efficient solar cells. The disparity in solar cells or modules lies in the multiple layers of the absorbent layer formed by CIGS that interact at the time of material deposition. Currently, CIGS cells have been produced with a record efficiency of 23.4%. Nonetheless, the research to optimize the properties of this material is still in progress, by the aid of computational tools that have already proven their effectiveness for other materials. In this work, the interactions between copper and selenium (Cu-Se) atoms for the first growth stages of the CIGS material were analyzed through computational simulation, emulating the co-evaporation technique. For this purpose, the Molecular Dynamics (DM) method has been used through the open access code LAMMPS, reproducing the thermodynamic phenomena that occur in the deposit process. Different models were produce taking as base information found data for the interatomic Morse potential between Cu and Se.


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Session SSM 2 Thursday November 11th, 2021 9:00-11:00 Room 2 Session Chair: Dr. Yasuhiro Matsumoto ID 67 Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications. Faycal Djeffal and Hichem Ferhati. Abstract: In this paper, we demonstrate the role of the strategic combination between Graphene Nanoribbon (GNR) channel and Particle Swarm Optimization (PSO) technique in designing high UV photoresponse sensors for optical wireless communication systems (OWCSs) Accurate numerical models are developed based on non-equilibrium Green's function (NEGF) formalism, which are used to solve the Schrödinger/Poisson equations self-consistently. The device UV-photoresponse mechanism is investigated and thoroughly discussed. Basically, the channel electrostatic behavior is modulated by the photo-induced e/h pairs in the ZnO thin-film gate, generating the photogating effect. In addition, PSO technique is implemented with the aim of busting up the device performance. It is found that the proposed design showcases the ability for reaching higher responsivity as compared to the traditional Si-based devices, exhibiting a high responsivity of 2×105 A/W. Therefore, the use of GNR channel combined with ZnO sensitive-gate allows designing an ultra-high ultraviolet photoresponse, making the proposed structure a potential alternative for next-generation chip-level optical communications ID 23 Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13. Daniel Trejo-Zamudio, Sandra Andrea Mayén-Hernández, José Guadalupe Quiñones-Galván, Francisco Javier de Moure-Flores, María Lucero Gómez-Herrera and José Santos-Cruz. Abstract: In this work, we report the obtaining and study of phases CuSbS2 and Cu12Sb4S13 thin films. These samples were obtained through a two-stage process: the sequential deposition of Sb2S3 and CuS varying the thickness on glass substrates and annealing at 350 °C. The films were then characterized by Raman spectroscopy, ultraviolet-visible spectroscopy, EDS analysis, Hall effect and Seebeck coefficient. The objective was to study the properties of films for

thermoelectric applications. The best sample was obtained with an initial thickness of 400 nm of Sb2S3 and 180 nm of CuS (ratio of 2.22). This sample, called CSS 2.22, shows some compound rich in Cu. The band gap of the sample was 1.83 eV. Its charge carries concentration was of 3.725x1022 cm-3 with a p-type conductivity. The conductivity value was 5.223x102 Ω-1cm-1 and the Seebeck coefficient was of 54. μV/K. Finally, the power factor value was 1.54 μW/cm-K at 60 °C. ID 84 Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition. David Santos Cruz, Maria de La Luz Olvera Amador, Sayda Dinorah Coria Quiñones, Francisco Javier de Moure Flores and Jose Santos Cruz. Abstract: Abstract— In this work, thin films of Antimony Sulfide (Sb2S3) were deposited onto Corning glass substrates via physical vapor deposition technique (PVD). A commercial Antimony Sulfide powder was used, the powder was annealed at three different temperatures 250, 275 y 300 °C in an inert atmosphere of Argon (Ar). The samples were characterized through structural, optical, and morphological techniques for their possible application in thin-film solar cells as an absorbent layer. All films annealed were found to be composed of the orthorhombic phase of Sb2S3, besides, show up a crystal size between 21-25 nm, moreover, transmittance values 20-80% in the UV-Vis region and a bandgap around 1.7 eV after the annealed treatment. ID 45 Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition. Jorge Cruz-Gómez, Enrique Hernández-Cantero, David Santos-Cruz, Sandra Andrea Mayén-Hernández, Francisco Javier De Moure-Flores and José Santos-Cruz. Abstract: Thin films of antimony (III) sulfide were obtained on glass substrates by physical vapor deposition technique. The films obtained were annealing to 250-400°C in two atmospheres N2 and N2-S respectively. The effect of annealing temperature on the optoelectronic properties was investigated. The films were characterized by ultraviolet-visible spectroscopy, Raman spectroscopy, XRD, EDS analysis and Hall effect. The best sample was obtained with an initial thickness of 400 nm and annealed in a N2 atmosphere at 300°C, the band gap of the sample was of 1.76 eV. Its charge carries concentration was of 1.25x1012 cm-3 with a p-type conductivity, resistivity value of 3.9x105 Ω-cm, mobility


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of 18.11 cm2V-1s-1 and Stibnite phase. ID 33 Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications. J.A. Melchor-Robles, T.G. Díaz-Rodríguez, Jacobo Martínez-Reyes, A. Maldonado-Álvarez and María de La Luz Olvera-Amador. Abstract: The synthesis of the LaCuOSe compound was carried ou via solid-state reaction. The synthesized samples were analyzed by X-ray diffraction, scanning electron microscopy, and RAMAN spectroscopy. The LaCuOSe compound shows the existence of traces of the La2Cu (SeO3) 4 phase. Computational calculations were performed to determine the electronic structure and estimate the band gap energy using the Density Functional Theory, DFT, using the screened hybrid functional HSE06. ID 122 Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques. Dr.Ramakrishna V. Abstract: With the advancement of technology, the power consumed by network on chip connections (NOCs), particularly routers and network interfaces, comes into the picture to compete with the power consumed by other network communication subsystems. This paper provides a set of data coding techniques for reducing NoC connection power consumption. The proposed techniques are generic and transparent in terms of the NoC fabric (i.e. no changes to routers or connection design). Experiments on simulated and real-world traffic demonstrate that the suggested methods can save more than 50% of power dissipation and less than 15% reduction in energy consumption without compromising performance with reduced percentage area overhead in network interfaces Session SSM 3 Friday November 12th, 2021 9:00-11:00 Room 2 Session Chair: Dra. Griselda Stephany Abarca-Jiménez ID 89 High Transconductance Gain Low Voltage Class AB

OTA. Jasiel Hernandez and Ivan Padilla. Abstract: A low voltage Class AB OTA is presented. A Flipped Voltage Follower (FVF) variant, known as the Class AB Flipped Voltage Follower, acts as the input stage. It sinks and sources large output currents in comparison to other FVF topologies. The architecture presents a simple structure, using only a few transistors and it requires a low power supply to operate. The OTA was simulated in the Cadence Virtuoso environment for TSMC 180 nm technology. DC, AC and transient tests are shown to exhibit the correct performance of the circuit. ID 27 A Two-level Modeling Methodology for Memristive Devices. Jesús Jiménez-León, Arturo Sarmiento Reyes and Pedro Rosales Quintero. Abstract: A modeling methodology for memristive devices that spans over two levels of abstraction is presented. The first level of the methodology focuses on modeling the formation/dissolution process of the conductive filament inside a resistive switching device; which starts from a set of coupled partial differential equations, namely, Poisson, continuity and heat equations, that describes the internal physical process. The second abstraction level consists in formulating a compact memristive model of the device by linking the electrical results obtained from previous level in order to obtain the constitutive relationship of the device. The most commonly used electric characteristics are obtained from both abstraction levels as well as the due numeric comparison between both results. ID 62 Micromotors unit based on CMOS-MEMS technology integrated on a single chip. Andrea López-Tapia, Luis Sánchez-Márquez, Mario Alfredo Reyes-Barranca, Griselda Stephany Abarca-Jiménez and Luis Martín Flores-Nava. Abstract: This paper shows the design for MEMS linear and rotary micromotors including their respective control circuits, elevation voltage stage and sensors, all together in a single chip. They were designed under the rules of the standard 0.5-micron CMOS technology of On Semiconductor. With simulations carried out in OrCAD PSPice, the designed


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control circuits of both linear and rotary micromotors were tested; the simulation helps us to verify their correct operation. Finally, the elevation voltage stage between control circuit and electrodes allows the application of the necessary voltage to drive the micromotors. ID 43 Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling. Carlos Alberto Sanabria Díaz, Mónico Linares Aranda and Rogelio Manuel Higuera González. Abstract: In this work, a circuit model for interconnection channels with vertical inter-metallic transitions based on the experimental characterization is proposed. The circuit model and extraction methodology was verified using a daisy chain structure manufactured in a 180 nm RF-CMOS process. Both, the parameters extraction methodology and the circuit model were considered for their use in RF applications, whereby they take into account the electromagnetic effects of high frequency. The obtained results show that the proposed circuit model has a maximum average error of 5.06% in magnitude when it is compared with experimental data. ID 49 Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor. Hichem Ferhati and Fayçal Djeffal. Abstract: This work aims to study the role of material gate engineering (MGE) paradigm combined with Genetic Algorithm (GA) evolutionary technique in enhancing the performance of InGaZnO (IGZO) thin-film (TF) Ultraviolet (UV) phototransistor for optical wireless communication systems (OWCSs). Accurate numerical models for the optical and electrical performances of the investigated phototransistor are carried out. A new approach based on implementing GA evolutionary technique to optimize the device performance is proposed. It is found that the optimized MGE IGZO TF UV phototransistor shows enhanced current ratio of 140 dB and high responsivity of 1.3×102 A/W, far surpassing that provided by the conventional sensors. This is mainly attributed to GA approach and MGE aspect in modulating the channel electrical behavior leading to

achieve an improved light-induced carrier transport. Therefore, promoting enhanced collection efficiency, this new approach based on introducing MGE and GA optimization technique open up promising routes for the design of efficient UV phototransistors, which are highly attractive for the advanced optoelectronic and Internet of Things (IoTs) technologies


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APPENDIX Author Index

Author Tittle

A. Bassam Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

A. Maldonado-Álvarez Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Abdelhadi Kassiba Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Abdul Matin A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Abimael Terrones Acosta Design and Manufacture of a Training System for Ventriculostomy

Abraham Efram Rodriguez-Mata Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Abraham Rodriguez Mata A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

Adolfo Perrusquia An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Adrian Lizarraga Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Adrian Sosa Dominguez Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Adrián Sosa-Domínguez Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Ahmed Zaghloul Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Albertha Lawson Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Aldo Yair Tenorio Barajas Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Alejandra de la Guerra Carrasco Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

Alejandro Rodriguez Angeles Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

Alicia Guadalupe Lazcano-Herrera EEG motor/imagery signal classification comparative using machine learning algorithms

Alonso Corona-Chavez Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Ana Laura Cazarín Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Ana Maria Martinez Enriquez Supervised Neural Network for Offline Forgery Detection of Handwritten Signature

Andrea López-Tapia Micromotors unit based on CMOS-MEMS technology integrated on a single chip


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Andrés Galdámez-Martínez Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Andres Manjarrés García Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Andrés Mauricio García Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Andres Reyes Chaparro Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Andres Rodriguez-Torres Parametric identification of a magnetorheological damper based on Genetic Algorithm

Angelica Muñoz Melendez Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Anish Jantrania Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Antonio Concha Sánchez Nonlinear Least Squares-based Identification of a Continuous Friction Model

Antonio Concha Sánchez Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Antonio Héctor Dell'Osa Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Antonio Ramírez Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Araceli Romero-Nuñez Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Arturo Molina DFT-based phasor estimator using a MAF with a phase-lead compensator

Arturo Sarmiento Reyes A Two-level Modeling Methodology for Memristive Devices

Arturo Vera Hernández Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Aruna Devi Rasu-Chettiar Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Ashok Adhikari Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Ashok Adhikari Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Ateet Dutt Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Ateet Dutt Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Auerelian Cabarbaye R Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Axel Coronado Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

Ayman El-Badawy Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Benito Corona-Vasquez Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water


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Blanca Tovar-Corona Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Blanca Tovar-Corona Artifacts removal in electrodermal signals

Brenda Magaña Trejo Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Brian Camilo Gomez Leon A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Brisbane Ovilla-Martínez A Lightweight Security Protocol for Beacons BLE

Bruno Renato Flores-Hernández Graphene for a green-environmentally methodology with organic surfactants

Carlos Alberto Sanabria Díaz Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling

Carlos Alexander Osorio Quero Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Carlos Alonso Meza Avendaño Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Carlos Alvarado Serrano Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Carlos Emilio Márquez García FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Carlos Garcia Rodríguez Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Carlos Guillermo Valerio Naranjo Control and cable deployment of a tethered PVTOL aircraft

Carlos Osorio Quero Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Carlos Steven Sánchez Rincón Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Carolina Abril Carrascal Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Cesar Alejandro Villaseñor Rios Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Cesar Barron-Rubio Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

César Camas Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Chander Kant Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Christian Daul Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Cinmayii Garillos-Manliguez Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Citlalli Vázquez Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Claudia Oliva Mendoza Barrera Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Cuauhtemoc Mancillas-López A Lightweight Security Protocol for Beacons BLE


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Daniel Durini Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Daniel Durini Romero Romero Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Daniel Ferrusca Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Daniel Lorias-Espinoza Design and Manufacture of a Training System for Ventriculostomy

Daniel Ortiz Gutiérrez Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Daniel Sarir Apátiga Pérez Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Daniel Trejo-Zamudio Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

David Hiriart Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

David Santos Cruz Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

David Santos-Cruz Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Didier Wolf Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Dionicio Meza Solano PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

Dr. Velumani Subramaniam Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Dr.Ramakrishna V Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Dulce Estefanía Nicolás Álvarez Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

E. Regalado-Pérez Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Edel-Serafin Hernandez-Gomez Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Eduardo Ibarra-Medel Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Eduardo Steed Espinoza Quesada Control and cable deployment of a tethered PVTOL aircraft

Eladio Cardiel An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Eladio Cardiel Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Elnaz Pashaei A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Elsie Araujo A Resampling Approach for the Data-Based Optimization of Nanosensors

Emmanuel Alcalá A Resampling Approach for the Data-Based Optimization of Nanosensors


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Enrique Hernández-Cantero Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Enrique Martinez Sanchez Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

Ernesto Lopez-Mellado Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

Ernesto Suaste-Gomez Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset

Evelyn B. Díaz-Cruz Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

F. J. de Moure-Flores Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Faycal Djeffal Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Fayçal Djeffal Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Fermin Marinez Solis FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Fernando Pérez-Escamirosa Design and Manufacture of a Training System for Ventriculostomy

Francisco Anguebes Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Francisco B. González Sáenz Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function

Francisco Javier De Moure Flores Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Francisco Javier de Moure Flores Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

Francisco Javier de Moure-Flores Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Francisco Javier De Moure-Flores Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Francisco Javier de Moure-Flores Graphene for a green-environmentally methodology with organic surfactants

Francisco Javier de Moure-Flores Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Francisco Javier Gomez Cano Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Francisco Paraguay-Delgado Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Frank Martínez Suárez Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Gabriel Sánchez-Pérez Visual-based Real Time Driver Drowsiness Detection System Using CNN

Ganesh Regmi Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Geovanny Palomino-Roldan Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset


60

Gerardo César Vélez López Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Giselle Galvan-Tejada 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks

Giselle Monserrat Galvan Tejada A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Gregorio Alberto Álvarez Álvarez A Generalized Lagrange Multiplier Method for Support Vector Regression

Gregorio Toscano-Pulido Instance Selection Based on Linkage Trees

Griselda Stephany Abarca-Jiménez Micromotors unit based on CMOS-MEMS technology integrated on a single chip

Gustavo Rodriguez Gomez Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Hafsa Binte Kibria A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Hang Yin Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Héber Vilchis Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Heber Vilchis Bravo Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Hebertt José Sira-Ramírez A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Hector Pérez-Meana Visual-based Real Time Driver Drowsiness Detection System Using CNN

Hector Rodriguez-Rangel Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Héctor Vázquez Leal Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Hesham Ibrahim Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Hichem Ferhati Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Hichem Ferhati Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Homero Castaneda-Lopez Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Hongbo Liu Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Huey Lawson Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Hussain Alazki Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

Imran Hameed A Novel Method to Analyze Input-Output Controllability

Irving Geovanny Zuñiga Santiz Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters


61

Isaí Jiménez Hernández Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Israel Alejandro Cadena Luqueño Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Ivan Padilla High Transconductance Gain Low Voltage Class AB OTA

J. Felipe Guerra Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

J.A. Melchor-Robles Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Jacobo Martínez-Reyes Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Jaime Alvarez Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Jasiel Hernandez High Transconductance Gain Low Voltage Class AB OTA

Javier Lagunas Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Javier Sotelo Medina Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Jean Carlos Criado Jiménez Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Jesús Alonso Díaz A systematic method for backstepping via linear matrix inequalities

Jesus Contreras Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Jesus Fernando Solis Vivanco Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Jesús Jiménez-León A Two-level Modeling Methodology for Memristive Devices

Jesús Linares Flores Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Jesus Lopez Gomez FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Jesús Morales Valdez Parametric identification of a magnetorheological damper based on Genetic Algorithm

Jetzael Cuazoson Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

John Chiang Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Jonatan Pena Ramirez Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

Jonathan Flores-Monroy Visual-based Real Time Driver Drowsiness Detection System Using CNN

Jorge Aguilar-Torrentera 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks

Jorge Conde Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process


62

Jorge Cruz-Gómez Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Jorge Cruz-Gómez Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Jorge Cruz-Gómez Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Jorge Evaristo Conde Diaz Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Jorge Evaristo Conde Diaz Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Jorge Ibarra A systematic method for backstepping via linear matrix inequalities

Jorge Said Cervantes-Rojas Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Jose Alberto García Limón Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Jose Antonio Gutiérrez-Gnecchi Design and Manufacture of a Training System for Ventriculostomy

José de Jesús Rangel Magdaleno Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Jose Francisco Perez Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

José Guadalupe Quiñones-Galván Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

José H. Mendoza Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Jose Luis Robles A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

Jose Martinez Carranza Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Jose Martinez-Carranza Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Jose Martinez-Carranza Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Jose Rangel-Magdaleno Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Jose Ruben Huerta Osnaya Interpedicular screw placement image guided navigation surgery simulator.

Jose Santos Cruz Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Jose Santos Cruz Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

José Santos-Cruz Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

José Santos-Cruz Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

José Santos-Cruz Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition


63

José Santos-Cruz Graphene for a green-environmentally methodology with organic surfactants

José Santos-Cruz Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Josefina Gutiérrez Martínez Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Jose-Luis Olvera-Cervantes Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Juan Carlos López-Hoyos Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Juan Diego Sánchez Torres A Generalized Lagrange Multiplier Method for Support Vector Regression

Juan Diego Sánchez-Torres A Resampling Approach for the Data-Based Optimization of Nanosensors

Judith Guzman An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Kalpana Lodhi Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Karla Itzel Suárez Pérez Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Karla J. Campos-Cruz A Lightweight Security Protocol for Beacons BLE

Laura I. Garay-Jimenez An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Laura I. Garay-Jimenez Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Laura Ivoone Garay-Jiménez Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Laura Ivoone Garay-Jiménez Artifacts removal in electrodermal signals

Leonel Amabilis A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

Lorenzo Leija Salas Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Luis Alvarez-Icaza Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

Luis Angel Arellano Cruz A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Luis Dorian Valencia Ordonez Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Luis Dorian Valencia Ordoñez Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Luis F Santis Espinosa Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Luis Hernández Martínez Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Luis Ibarra DFT-based phasor estimator using a MAF with a phase-lead compensator

Luis Martín Flores-Nava Micromotors unit based on CMOS-MEMS technology integrated on a single chip


64

Luis Sánchez-Márquez Micromotors unit based on CMOS-MEMS technology integrated on a single chip

M. A. Diozcora Vargas Treviño FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Manmohan Jain Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Manmohan Jain Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Marco A. Morales-Caporal Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Marco Antonio Zúñiga Reyes Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Maria Concepcion Arenas Arrocena Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Maria de La Luz Olvera Amador Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

María de La Luz Olvera-Amador Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

María Fernanda Ramírez-Peralta Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

María Fernanda Romo-Fuentes Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Maria Karen Gonzalez Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

María Lucero Gómez-Herrera Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Maria-Elena Sosa-Morales Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Mariana Ibarra Bonilla PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

Mariel Alfaro-Ponce EEG motor/imagery signal classification comparative using machine learning algorithms

Mariko Nakano-Miyatake Visual-based Real Time Driver Drowsiness Detection System Using CNN

Mario Alfredo Reyes-Barranca Micromotors unit based on CMOS-MEMS technology integrated on a single chip

Mario Andres Aguilar-Orduña A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Martin Arturo Silva-Ramírez Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Martin Bustamante Enciso Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Mazen Shehab Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Miguel A. Llama Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems


65

Miguel Bernal A systematic method for backstepping via linear matrix inequalities

Miguel Ramírez-Barrios Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Miguel Velázquez Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Mohammed Youssef Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Mohit Jain Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Mónico Linares Aranda Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling

Muhammad Aslam Supervised Neural Network for Offline Forgery Detection of Handwritten Signature

Muhammad Ibrahim A Novel Method to Analyze Input-Output Controllability

Nusrat Jahan A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Octavio Gutierrez-Frias Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Ofelia Begovich Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Oleg Samovarov Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

Omar Sandre Hernández Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function

Omar Sandre-Hernández Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Omar Vicente Perez Arista Development of an Efficient Path Planning Algorithm for Indoor Navigation

Oscar Rafael Vargas Barona Development of an Efficient Path Planning Algorithm for Indoor Navigation

Pablo Benavides Herrera A Generalized Lagrange Multiplier Method for Support Vector Regression

Pablo Rogelio Hernandez An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Pablo Rogelio Hernández Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Patricia Guadalupe López-Cárdenas A Resampling Approach for the Data-Based Optimization of Nanosensors

Patricio Ordaz Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Pedro Acosta-Cano de Los Rios Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Pedro Mejía Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Pedro Ponce DFT-based phasor estimator using a MAF with a phase-lead compensator

Pedro Rosales Quintero A Two-level Modeling Methodology for Memristive Devices


66

Rafael Bayareh Mancilla Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Rafael Castro Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Rafael Escudero DFT-based phasor estimator using a MAF with a phase-lead compensator

Rafael Stanley Nuñez Cruz Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Rafael Stanley Nuñez Cruz Development of an Efficient Path Planning Algorithm for Indoor Navigation

Ramon Garcia-Hernandez Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

Ramón Peña Sierra Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Rasikh Tariq Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Rasu Chettiar Aruna Devi Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Raul Eusebio Grande PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

Raúl González Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Raymundo Márquez A systematic method for backstepping via linear matrix inequalities

Ricardo Cortez Parameter identification from hybrid model using PSO and penalty functions

Riemann Ruiz Cruz A Generalized Lagrange Multiplier Method for Support Vector Regression

Rigoberto Martínez Méndez Design and Manufacture of a Training System for Ventriculostomy

Rita.Q. Fuentes-Aguilar EEG motor/imagery signal classification comparative using machine learning algorithms

Roberto Morales Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Rodrigo Leite-Prates Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Rogelio Baray-Arana Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Rogelio Lozano Leal A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Rogelio Lozano Leal Control and cable deployment of a tethered PVTOL aircraft

Rogelio Manuel Higuera González Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling

Román Jaramillo Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Rosario Ríos-Prado Artifacts removal in electrodermal signals

Ruben Garrido An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Ruben Garrido Parameter identification from hybrid model using PSO and penalty functions


67

Rubén Ramos-Garcia Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Saleem Summra Supervised Neural Network for Offline Forgery Detection of Handwritten Signature

Samuel Omar Tovias-Alanis Instance Selection Based on Linkage Trees

Sandra Andrea Mayén-Hernández Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Sandra Andrea Mayén-Hernández Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Sandra Andrea Mayén-Hernández Graphene for a green-environmentally methodology with organic surfactants

Sandra Andrea Mayén-Hernández Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Sanzida Islam A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Sara Eugenia Rodríguez Reyes A Generalized Lagrange Multiplier Method for Support Vector Regression

Sashank Sridhar Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Sayda Dinorah Coria Quiñones Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

Sayed Pedram Haeri Boroujeni A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Sergio Daniel Sanchez Solar Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Sergio Vergara Limon FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Sowmya Sanagavarapu Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Stanley Kurtz Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Sucheta Juneja Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Suresh Thenozhi Nonlinear Least Squares-based Identification of a Continuous Friction Model

Suresh Thenozhi Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Sushil Kumar Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

T.G. Díaz-Rodríguez Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Tejinder-Kaur Kataria Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Velumani Subramaniam Bandgap dependence on facet and size engineering of TiO2: A DFT Study


68

Velumani Subramaniam Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Vicente González Carranza Design and Manufacture of a Training System for Ventriculostomy

Victor Golikov Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

Victor Manuel Altuzar Aguilar Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Victor Manuel Velazquez Aguilar FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Vyacheslav Elyukhin Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Wagner Coelho de Albuquerque Pereira Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Wen Yu An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Wen Yu Parametric identification of a magnetorheological damper based on Genetic Algorithm

Wilfrido Gómez-Flores Instance Selection Based on Linkage Trees

Wilfrido Gómez-Flores Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

X. Mathew Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Yair Lozano Parameter identification from hybrid model using PSO and penalty functions

Yasuhiro Matsumoto Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Yasuhiro Matsumoto Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Zhengmao Ye Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Zhengmao Ye Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis


69

Author Information

Author Country Affiliation A. Bassam Mexico Universidad Autónoma de Yucatán A. Maldonado-Álvarez Mexico CINVESTAV-IPN Abdelhadi Kassiba France Institute of Molecular and Materials Le Mans University Abdul Matin Bangladesh Rajshahi University of Engineering and Technology Abimael Terrones Acosta Mexico CINVESTAV-IPN Abraham Efram Rodriguez-Mata Mexico TecNM campus Chihuahua Abraham Rodriguez Mata Mexico TecNM / IT de Chihuahua Adolfo Perrusquia United Kingdom Cranfield University Adrian Lizarraga Mexico CINVESTAV-IPN Adrian Sosa Dominguez Mexico UNIVERSIDAD AUTONOMA DE QUERETARO Adrián Sosa-Domínguez Mexico Universidad Autónoma de Querétaro Ahmed Zaghloul Egypt German University in Cairo (GUC) Albertha Lawson United States Southern University Aldo Yair Tenorio Barajas Mexico BUAP Alejandra de la Guerra Carrasco Mexico UNAM Alejandro Rodriguez Angeles Mexico CINVESTAV-IPN Alicia Guadalupe Lazcano-Herrera Mexico ITESEM Alonso Corona-Chavez Mexico National Institute of Optical Astrophysics and Electronics

Ana Laura Cazarín Mexico Mecatrónica, Universidad Politécnica de Chiapas Ana Maria Martinez Enriquez Mexico Department of Computer Science, CINVESTAV-IPN, Mexico

City Andrea López-Tapia Mexico CINVESTAV-IPN Andrés Galdámez-Martínez Mexico Universidad Nacional Autónoma de México Andres Manjarrés García Mexico INAOE Andrés Mauricio García Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Andres Reyes Chaparro Mexico CINVESTAV-IPN Andres Rodriguez-Torres Colombia CINVESTAV-IPN Angelica Muñoz Melendez Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica Anish Jantrania United States Department of Biological and Agricultural Engineering

TEXAS A&M UNIVERSITY Antonio Concha Sánchez Mexico University of Colima Antonio Concha Sánchez Mexico Faculty of Mechanical and Electrical Engineering, University

of Colima Antonio Héctor Dell'Osa Argentina Instituto de Desarrollo Económico e Innovación,

Universidad Nacional de Tierra del Fuego Antonio Ramírez Mexico CINVESTAV-IPN Araceli Romero-Nuñez Mexico Centro de Investigación y de Estudios Avanzados del IPN

(CINVESTAV) Arturo Molina Mexico Tecnologico de Monterrey Arturo Sarmiento Reyes Mexico INAOE Arturo Vera Hernández Mexico Cinvestav


70

Aruna Devi Rasu-Chettiar Mexico Universidad Autónoma de Querétaro Ashok Adhikari Mexico Centro de Investigacion y de Estudios Avanzados del

Instituto Politecnico Nacional (CINVESTAV-IPN) Ashok Adhikari Mexico Centro de Investigacion y de Estudios Avanzados del

Instituto Politecnico Nacional Ateet Dutt Mexico Universidad Nacional Autónoma de México Ateet Dutt Mexico Universidad Nacional Autónoma de México Auerelian Cabarbaye R Mexico TecNM Axel Coronado Mexico Universidad Nacional Autónoma de México Ayman El-Badawy Egypt German University in Cairo (GUC) Benito Corona-Vasquez Mexico University of Americas Puebla Blanca Tovar-Corona Mexico Instituto Politécnico Nacional Blanca Tovar-Corona Mexico Instituto Politécnico Nacional Brenda Magaña Trejo Mexico CINVESTAV-IPN Brian Camilo Gomez Leon Mexico CINVESTAV-IPN Brisbane Ovilla-Martínez Mexico CINVESTAV-IPN Bruno Renato Flores-Hernández Mexico Universidad Autónoma de Querétaro Carlos Alberto Sanabria Díaz Mexico Instituto Nacional de Atrofísica, Óptica y Electrónica Carlos Alexander Osorio Quero Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Carlos Alonso Meza Avendaño Mexico Universidad de Ciencias y Artes de Chiapas, Instituto de

Investigación e Innovación en Energías Renovables Carlos Alvarado Serrano Mexico CINVESTAV-IPN Carlos Emilio Márquez García Mexico Universidad Juarez Autonoma de Tabasco Carlos Garcia Rodríguez Mexico Universidad Tecnológica de la Mixteca Carlos Guillermo Valerio Naranjo Mexico CINVESTAV-IPN Carlos Osorio Quero Mexico INAOE Carlos Steven Sánchez Rincón Colombia University Francisco de Paula Santander Ocaña, SIMI

research hotbed Carolina Abril Carrascal Colombia Universidad Francisco de Paula Santander Ocaña, SIMI

research hotbed Cesar Alejandro Villaseñor Rios Mexico UPIITA-Instituto Politénico Nacional Cesar Barron-Rubio Mexico CINVESTAV Unidad Guadalajara César Camas Mexico Universidad de Ciencias y Artes de Chiapas Chander Kant India CSIR- National Physical Laboratory New Delhi, India Christian Daul France CNRS/CRAN Université de Lorriane Cinmayii Garillos-Manliguez Philippines University of the Philippines Mindanao Citlalli Vázquez Mexico Universidad de Ciencias y Artes de Chiapas Claudia Oliva Mendoza Barrera Mexico BUAP Cuauhtemoc Mancillas-López Mexico CINVESTAV-IPN Daniel Durini Mexico INAOE Daniel Durini Romero Romero Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Daniel Ferrusca Mexico National Institute of Astrophysics, Optics and Electronics

Daniel Lorias-Espinoza Mexico CINVESTAV-IPN Daniel Ortiz Gutiérrez Mexico Departamento de Ingeniería Eléctrica, Sección de

Electrónica y Estado Sólido, CINVESTAV, IPN, México


71

Daniel Sarir Apátiga Pérez Mexico Unidad Profesional Interdisciplinaria de Biotecnología, Instituto Politécnico Nacional

Daniel Trejo-Zamudio Mexico UAQ David Hiriart Mexico Institute of Astronomy, UNAM David Santos Cruz Mexico Cinvestav-IPN, Departamento de Ingeniería Eléctrica David Santos-Cruz Mexico SEES Cinvestav Didier Wolf France CNRS/CRAN Université de Lorriane Dionicio Meza Solano Mexico Tecnológico Nacional de México. Instituto Tecnológico

Superior de Atlixco Dr. Velumani Subramaniam Mexico Centro De Investigacíon y De Estudios Avanzados Del

Instituto Politècnico Nacional Dr.Ramakrishna V India School of Engineering and Technology, Sri Padmavati

Mahila Visvavidyalayam Dulce Estefanía Nicolás Álvarez Mexico ENCB E. Regalado-Pérez Mexico Universidad Nacional Autónoma de México Edel-Serafin Hernandez-Gomez Mexico National Institute of Optical Astrophysics and Electronics

Eduardo Ibarra-Medel Mexico Institute of Radio Astronomy and Astrophysics, UNAM Eduardo Steed Espinoza Quesada Mexico CINVESTAV-IPN Eladio Cardiel Mexico CINVESTAV-IPN Eladio Cardiel Mexico Electrical Engineering Department, Center for Research and

Advanced Studies IPN Elnaz Pashaei Turkey istanbul Aydin university Elsie Araujo Mexico Instituto Tecnológico y de Estudios Superiores de Occidente

Emmanuel Alcalá Mexico Instituto Tecnológico y de Estudios Superiores de Occidente

Enrique Hernández-Cantero Mexico Universidad Autónoma de Querétaro-facultad de química

Enrique Martinez Sanchez Mexico CINVESTAV-IPN Ernesto Lopez-Mellado Mexico CINVESTAV Unidad Guadalajara Ernesto Suaste-Gomez Mexico CINVESTAV-IPN Evelyn B. Díaz-Cruz Mexico Universidad Autónoma de Querétaro F. J. de Moure-Flores Mexico Universidad Autónoma de Querétaro Faycal Djeffal Algeria University of Batna-2 Fayçal Djeffal Algeria unversity of batna-2 Fermin Marinez Solis Mexico Universidad Juarez Autonoma de Tabasco Fernando Pérez-Escamirosa Mexico Universidad autónoma de México UNAM Francisco Anguebes Mexico Universidad Autónoma del Carmen Francisco B. González Sáenz Mexico Universidad Autónoma del Estado de Hidalgo Francisco Javier De Moure Flores Mexico UNIVERSIDAD AUTONOMA DE QUERETARO Francisco Javier de Moure Flores Mexico Universidad Autónoma de Querétaro, Facultad de Química

Francisco Javier de Moure-Flores Mexico UAQ Francisco Javier De Moure-Flores Mexico Universidad Autónoma de Querétaro-Facultad de Química

Francisco Javier de Moure-Flores Mexico Universidad Autónoma de Querétaro-Facultad de Química


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Francisco Javier de Moure-Flores Mexico Universidad Autónoma de Querétaro Francisco Javier Gomez Cano Mexico Centro de Investigación y de Estudios Avanzados del IPN

(CINVESTAV) Francisco Paraguay-Delgado Mexico Universidad Autónoma de Querétaro Frank Martínez Suárez Mexico CINVESTAV-IPN Gabriel Sánchez-Pérez Mexico Instituto Politecnico Nacional Ganesh Regmi Mexico Centro De Investigacíon y De Estudios Avanzados Del

Instituto Politècnico Nacional Geovanny Palomino-Roldan Mexico CINVESTAV-IPN Gerardo César Vélez López Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica. Giselle Galvan-Tejada Mexico CINVESTAV-IPN Giselle Monserrat Galvan Tejada Mexico Center for Research and Advanced Studies of IPN Gregorio Alberto Álvarez Álvarez Mexico ITESO Gregorio Toscano-Pulido Mexico Centro de Investigación y de Estudios Avanzados del I.P.N.

Unidad Tamaulipas Griselda Stephany Abarca-Jiménez Mexico UPIIH-IPN Gustavo Rodriguez Gomez Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica Hafsa Binte Kibria Bangladesh Rajshahi University of Engineering and Technology Hang Yin United States Southern University Héber Vilchis Mexico Universidad de Ciencias y Artes de Chiapas Heber Vilchis Bravo Mexico Universidad de Ciencias y Artes de Chiapas, Instituto de

Investigación e Innovación en Energías Renovables Hebertt José Sira-Ramírez Mexico CINVESTAV-IPN Hector Pérez-Meana Mexico Instituto Politecnico Nacional Hector Rodriguez-Rangel Mexico TecNM campus Culiacan Héctor Vázquez Leal Mexico Universidad Veracruzana Hesham Ibrahim Egypt German university in Cairo Hichem Ferhati Algeria University of Batna-2 Hichem Ferhati Algeria unversity of batna-2 Homero Castaneda-Lopez United States Texas A&M University Hongbo Liu Mexico Instituto Mexicano del Petróleo Huey Lawson United States Southern University Hussain Alazki Mexico Facultad de Ingenieria, Universidad Autonoma del Carmen

Imran Hameed Hong Kong Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

Irving Geovanny Zuñiga Santiz Mexico Universidad de Ciencias y Artes de Chiapas, Instituto de Investigación e Innovación en Energías Renovables

Isaí Jiménez Hernández Mexico Universidad Tecnológica de la Mixteca Israel Alejandro Cadena Luqueño Mexico Universidad Politecnica de Tulancingo Ivan Padilla Mexico Universidad de Guadalajara J. Felipe Guerra Mexico Tecnológico Nacional de México/I.T. La Laguna J.A. Melchor-Robles Mexico CINVESTAV-IPN Jacobo Martínez-Reyes Mexico CINVESTAV-IPN Jaime Alvarez Mexico CINVESTAV-IPN Jasiel Hernandez Mexico Universidad de Guadalajara Javier Lagunas Mexico CINVESTAV-IPN


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Javier Sotelo Medina Mexico Programa en Nanociencias y Nanotecnología CINVESTAV, IPN, Ciudad de México, México

Jean Carlos Criado Jiménez Colombia Universidad Francisco de Paula Santander Ocaña, SIMI research hotbed

Jesús Alonso Díaz Mexico Instituto Tecnológico de Sonora Jesus Contreras Mexico Large Millimeter Telescope Project, INAOE Jesus Fernando Solis Vivanco Mexico UNIVERSIDAD AUTONOMA DE QUERETARO Jesús Jiménez-León Mexico National Institute for Astrophysics Optics and Electronics

Jesús Linares Flores Mexico Universidad Tecnológica de la Mixteca Jesus Lopez Gomez Mexico Universidad Juarez Autonoma de Tabasco Jesús Morales Valdez Mexico CINVESTAV-IPN Jetzael Cuazoson Mexico Institute of Radio Astronomy and Astrophysics, UNAM John Chiang Taiwan National Sun Yat-sen University Jonatan Pena Ramirez Mexico CICESE Jonathan Flores-Monroy Mexico Instituto Politécnico Nacional Jorge Aguilar-Torrentera Mexico Universidad Autónoma de Nuevo León Jorge Conde Mexico CONACYT-Universidad de Ciencias y Artes de Chiapas,

Instituto de Investigación e Innovación en Energías Renovables

Jorge Cruz-Gómez Mexico Universidad Autónoma de Querétaro Jorge Cruz-Gómez Mexico Universidad Autónoma de Querétaro-Facultad de Química

Jorge Cruz-Gómez Mexico Universidad Autónoma de Querétaro Jorge Evaristo Conde Diaz Mexico CONACYT-Universidad de ciencias y Artes de Chiapas Jorge Evaristo Conde Diaz Mexico CONACYT-Universidad de Ciencias y Artes de Chiapas,

Instituto de Investigación e Innovación en Energías Renovables

Jorge Ibarra Mexico Instituto Tecnológico de Sonora Jorge Said Cervantes-Rojas Mexico Universidad Autónoma del Estado de Hidalgo Jose Alberto García Limón Mexico CINVESTAV-IPN Jose Antonio Gutiérrez-Gnecchi Mexico Instituto Tecnológico de Morelia José de Jesús Rangel Magdaleno Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Jose Francisco Perez Mexico Tecnológico Nacional de México/Instituto Tecnológico de

Apizaco José Guadalupe Quiñones-Galván Mexico UDG José H. Mendoza Mexico Universidad Autónoma del Carme Jose Luis Robles Mexico TecNM / IT de Culiacan Jose Martinez Carranza Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica Jose Martinez-Carranza Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Jose Martinez-Carranza Mexico INAOE Jose Rangel-Magdaleno Mexico INAOE Jose Ruben Huerta Osnaya Mexico Centro de Investigacion y Estudios Avanzados del IPN Jose Santos Cruz Mexico UNIVERSIDAD AUTONOMA DE QUERETARO Jose Santos Cruz Mexico Universidad Autónoma de Querétaro, Facultad de Química


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José Santos-Cruz Mexico UAQ José Santos-Cruz Mexico Universidad Autónoma de Querétaro José Santos-Cruz Mexico Universidad Autónoma de Querétaro-Facultad de Química

José Santos-Cruz Mexico Universidad Autónoma de Querétaro José Santos-Cruz Mexico Universidad Autónoma de Querétaro Josefina Gutiérrez Martínez Mexico INR-LGII, Direction of Technological Research, Medical

Engineering Research Division Jose-Luis Olvera-Cervantes Mexico National Institute of Optical Astrophysics and Electronics

Juan Carlos López-Hoyos Mexico Universidad Autónoma del Estado de Hidalgo Juan Diego Sánchez Torres Mexico ITESO Juan Diego Sánchez-Torres Mexico Instituto Tecnológico y de Estudios Superiores de Occidente

Judith Guzman Mexico CINVESTAV-IPN Kalpana Lodhi India CSIR- National Physical Laboratory, New Delhi, India Karla Itzel Suárez Pérez Mexico Unidad Profesional Interdisciplinaria de Biotecnología,

Instituto Politécnico Nacional Karla J. Campos-Cruz Mexico CINVESTAV-IPN Laura I. Garay-Jimenez Mexico UPIITA Instituto Politecnico Nacional Laura I. Garay-Jimenez Mexico UPIITA Instituto Politecnico Nacional Laura Ivoone Garay-Jiménez Mexico Instituto Politécnico Nacional Laura Ivoone Garay-Jiménez Mexico Instituto Politécnico Nacional Leonel Amabilis Mexico Chihuahua/TecNM / IT de Culiacan Lorenzo Leija Salas Mexico CINVESTAV-IPN Luis Alvarez-Icaza Mexico Universidad Nacional Autónoma de México Luis Angel Arellano Cruz Mexico Center for Research and Advanced Studies of IPN Luis Dorian Valencia Ordonez Mexico Universidad de ciencias y Artes de Chiapas Luis Dorian Valencia Ordoñez Mexico Universidad de Ciencias y Artes de Chiapas, Instituto de

Investigación e Innovación en Energías Renovables Luis F Santis Espinosa Mexico Universidad Autónoma del Carmen Luis Hernández Martínez Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica. Luis Ibarra Mexico Tecnologico de Monterrey Luis Martín Flores-Nava Mexico CINVESTAV-IPN Luis Sánchez-Márquez Mexico CINVESTAV-IPN M. A. Diozcora Vargas Treviño Mexico Benemerita Universidad Autonoma de Puebla Manmohan Jain Mexico CINVESTAV-IPN Manmohan Jain Mexico CINVESTAV-IPN Marco A. Morales-Caporal Mexico Universidad Politécnica de Tlaxcala Marco Antonio Zúñiga Reyes Mexico Universidad de Ciencias y Artes de Chiapas, Instituto de

Investigación e Innovación en Energías Renovables Maria Concepcion Arenas Arrocena Mexico UNIVERSIDAD NACIONAL AUTONOMA DE MEXICO Maria de La Luz Olvera Amador Mexico Cinvestav-IPN, Departamento de Ingeniería Eléctrica María de La Luz Olvera-Amador Mexico CINVESTAV-IPN María Fernanda Ramírez-Peralta Mexico Instituto Politécnico Nacional María Fernanda Romo-Fuentes Mexico Instituto Politécnico Nacional


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Maria Karen Gonzalez Mexico Facultad de Ingenieria, Universidad Autonoma del Carmen

María Lucero Gómez-Herrera Mexico UAQ Maria-Elena Sosa-Morales Mexico University of Guanajuato Mariana Ibarra Bonilla Mexico Tecnológico Nacional de México. Instituto Tecnológico

Superior de Atlixco Mariel Alfaro-Ponce Mexico ITESEM Mariko Nakano-Miyatake Mexico Instituto Politecnico Nacional Mario Alfredo Reyes-Barranca Mexico CINVESTAV-IPN Mario Andres Aguilar-Orduña Mexico CINVESTAV-IPN Martin Arturo Silva-Ramírez Mexico Instituto Mexicano del Seguro Social Martin Bustamante Enciso Mexico Universidad Politecnica de Tulancingo Mazen Shehab Egypt German University in Cairo (GUC) Miguel A. Llama Mexico Tecnológico Nacional de México/I.T. La Laguna Miguel Bernal Mexico Instituto Tecnológico de Sonora Miguel Ramírez-Barrios Mexico Unidad Profesional Interdisciplinaria de Biotecnología,

Instituto Politécnico Nacional Miguel Velázquez Mexico National Institute of Astrophysics, Optics and Electronics

Mohammed Youssef Egypt German university in Cairo Mohit Jain India IRC-UHVE, I K Gujral Punjab Technical University, Punjab,

India Mónico Linares Aranda Mexico Instituto Nacional de Atrofísica, Óptica y Electrónica Muhammad Aslam Pakistan University of Engg. and Tech., Lahore Muhammad Ibrahim Pakistan Department of Electrical Engineering, University of

Engineering and Technology, Lahore, Faisalabad Campus, Pakistan

Nusrat Jahan Bangladesh Rajshahi University of Engineering and Technology Octavio Gutierrez-Frias Mexico UPIITA-Instituto Politénico Nacional Ofelia Begovich Mexico CINVESTAV-IPN Oleg Samovarov Russia Ivannikov Institute for System Programming, Plekhanov

University of Economics Omar Sandre Hernández Mexico Universidad Autónoma del Estado de Hidalgo Omar Sandre-Hernández Mexico Universidad Autónoma del Estado de Hidalgo Omar Vicente Perez Arista Mexico Universidad Politécnica de Tulancingo Oscar Rafael Vargas Barona Mexico Universidad Politécnica de Tulancingo Pablo Benavides Herrera Mexico ITESO Pablo Rogelio Hernandez Mexico CINVESTAV-IPN Pablo Rogelio Hernández Mexico Electrical Engineering Department, Center for Research and

Advanced Studies IPN Patricia Guadalupe López-Cárdenas Mexico Instituto Tecnológico y de Estudios Superiores de Occidente

Patricio Ordaz Mexico Universidad Autónoma del Estado de Hidalgo Pedro Acosta-Cano de Los Rios Mexico TecNM campus Chihuahua Pedro Mejía Mexico Centro de Investigación y Estudios Avanzados del IPN Pedro Ponce Mexico Tecnologico de Monterrey Pedro Rosales Quintero Mexico INAOE Rafael Bayareh Mancilla Mexico Cinvestav/Université de Lorraine


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Rafael Castro Mexico CINVESTAV-IPN Rafael Escudero Mexico Tecnologico de Monterrey Rafael Stanley Nuñez Cruz Mexico Universidad Politecnica de Tulancingo Rafael Stanley Nuñez Cruz Mexico Universidad Politécnica de Tulancingo Ramon Garcia-Hernandez Mexico Tecnológico Nacional de México/I.T. La Laguna Ramón Peña Sierra Mexico Departamento de Ingeniería Eléctrica, Sección de

Electrónica y Estado Sólido, CINVESTAV, IPN, México Rasikh Tariq Mexico Universidad Autónoma de Yucatán Rasu Chettiar Aruna Devi Mexico UNIVERSIDAD AUTONOMA DE QUERETARO Raul Eusebio Grande Mexico Tecnológico Nacional de México. Instituto Tecnológico

Superior de Atlixco Raúl González Mexico Centro de Investigación y Estudios Avanzados del IPN Raymundo Márquez Mexico Sonora Institute of Technology Ricardo Cortez Mexico Instituto Politecnico Nacional Riemann Ruiz Cruz Mexico ITESO Rigoberto Martínez Méndez Mexico Universidad Autónoma del Estado de México Rita.Q. Fuentes-Aguilar Mexico ITESEM Roberto Morales Mexico Tecnológico Nacional de México/Instituto Tecnológico de

Apizaco Rodrigo Leite-Prates Brazil Programa de Engenharia Biomédica/COPPE, Universidade

Federal do Rio de Janeiro Rogelio Baray-Arana Mexico TecNM campus Chihuahua Rogelio Lozano Leal France Universites de Technologie de Compiegne Rogelio Lozano Leal Mexico CINVESTAV-IPN Rogelio Manuel Higuera González Mexico Tecnológico de Estudios Superiores de Ixtapaluca Román Jaramillo Mexico Centro de Investigación y Estudios Avanzados del IPN Rosario Ríos-Prado Mexico Instituto Politécnico Nacional Ruben Garrido Mexico CINVESTAV-IPN Ruben Garrido Mexico CINVESTAV-IPN Rubén Ramos-Garcia Mexico Instituto Nacional de Astrofísica, Óptica y

Electrónica(INAOE) Saleem Summra Pakistan Dept of Comp Sc., University of Engineering and

Technology, Lahore Samuel Omar Tovias-Alanis Mexico Centro de Investigación y de Estudios Avanzados del I.P.N.

Unidad Tamaulipas Sandra Andrea Mayén-Hernández Mexico UAQ Sandra Andrea Mayén-Hernández Mexico Universidad Autónoma de Querétaro- Facultad de Química

Sandra Andrea Mayén-Hernández Mexico Universidad Autónoma de Querétaro-Facultad de Química

Sandra Andrea Mayén-Hernández Mexico Universidad Autónoma de Querétaro Sanzida Islam Bangladesh Rajshahi University of Engineering and Technology Sara Eugenia Rodríguez Reyes Mexico ITESO Sashank Sridhar India College of Engineering Guindy, Anna University Sayda Dinorah Coria Quiñones Mexico Cinvestav-IPN, Unidad Querétaro Sayed Pedram Haeri Boroujeni Turkey aydin university Sergio Daniel Sanchez Solar Mexico Instituto Nacional de Astrofísica, Óptica y Electrónica Sergio Vergara Limon Mexico Benemerita Universidad Autonoma de Puebla


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Sowmya Sanagavarapu India College of Engineering Guindy, Anna University Stanley Kurtz Mexico Institute of Radio Astronomy and Astrophysics, UNAM Sucheta Juneja India CSIR- National Physical Laboratory, New Delhi, India Suresh Thenozhi Mexico Autonomous University of Queretaro Suresh Thenozhi Mexico Faculty of Engineering, Autonomous University of

Queretaro Sushil Kumar India CSIR- National Physical Laboratory, New Delhi, India T.G. Díaz-Rodríguez Mexico CINVESTAV-IPN Tejinder-Kaur Kataria Mexico University of Guanajuato Velumani Subramaniam Mexico Centro de Investigación y de Estudios Avanzados del IPN

(CINVESTAV) Velumani Subramaniam Mexico Centro de Investigacion y de Estudios Avanzados del

Instituto Politecnico Nacional Vicente González Carranza Mexico Hospital Infantil de México Federico Gómez Victor Golikov Mexico Facultad de Ingenieria, Universidad Autonoma del Carmen

Victor Manuel Altuzar Aguilar Mexico BUAP Victor Manuel Velazquez Aguilar Mexico Universidad Nacional Autonoma de Mexico Vyacheslav Elyukhin Mexico Departamento de Ingeniería Eléctrica, Sección de

Electrónica y Estado Sólido, CINVESTAV, IPN, México Wagner Coelho de Albuquerque Pereira

Brazil Programa de Engenharia Biomédica/COPPE, Universidade Federal do Rio de Janeiro

Wen Yu Mexico CINVESTAV-IPN Wen Yu Mexico CINVESTAV-IPN Wilfrido Gómez-Flores Mexico Centro de Investigación y de Estudios Avanzados del I.P.N.

Unidad Tamaulipas Wilfrido Gómez-Flores Mexico Centro de Investigación y de Estudios Avanzados del I.P.N.

Unidad Tamaulipas X. Mathew Mexico Universidad Nacional Autónoma de México Yair Lozano Mexico Instituto Politecnico Nacional Yasuhiro Matsumoto Mexico CINVESTAV-IPN Yasuhiro Matsumoto Mexico CINVESTAV-IPN Zhengmao Ye United States Southern University Zhengmao Ye United States Southern University


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Keywords

Author Keywords Title

5G 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks

ABS Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Acoustical Analysis An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Acoustical Analysis Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Adaptive backstepping control Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

ADRC A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

ADS1294 Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

AFM Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Agriculture Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Algorithm Design and Manufacture of a Training System for Ventriculostomy

Amorphous GeOx Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Analog Integrated Circuits High Transconductance Gain Low Voltage Class AB OTA

Anatase Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Anisotropy Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Antimony Sulfide. Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

Artifacts removing Artifacts removal in electrodermal signals

Artificial neural network Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Artificial Neural Network Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Artificial potential field Obstacle avoidance in leader-follower formation using artificial potential field algorithm

AutoDock Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Automotive engine fault diagnosis

Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Autonomous navigation A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.


79

Autonomous navigation Development of an Efficient Path Planning Algorithm for Indoor Navigation

Background noise Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Backstepping A systematic method for backstepping via linear matrix inequalities Backstepping design Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Bandgap Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Batch-OMP Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Beacon A Lightweight Security Protocol for Beacons BLE

Binary Dragonfly Algorithm A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Bioimpedance Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

BLDC motor Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

BLDCM Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Bluetooth A Lightweight Security Protocol for Beacons BLE

Bootstrap A Resampling Approach for the Data-Based Optimization of Nanosensors

Breast Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Canny edge detection Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis

Catenary Control and cable deployment of a tethered PVTOL aircraft

CdSe QD Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Chalcogenide Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Chalcogenide Semiconductor material Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

CISe TFSC Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Class AB circuits High Transconductance Gain Low Voltage Class AB OTA

Classification EEG motor/imagery signal classification comparative using machine learning algorithms

Clusters Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

CMOS High Transconductance Gain Low Voltage Class AB OTA

CMOS technology Micromotors unit based on CMOS-MEMS technology integrated on a single chip

Coefficient of Consolidation Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Collision-free path planning Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Colloidal chemical synthesis Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Compact modeling A Two-level Modeling Methodology for Memristive Devices


80

Composite material Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Compressive sensing Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

Connectivity 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks

Contraction analysis Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Control FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Control based on neuronal model

Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

Controllability Gramian A Novel Method to Analyze Input-Output Controllability Convex Embedding A systematic method for backstepping via linear matrix inequalities

Convex Optimization A Generalized Lagrange Multiplier Method for Support Vector Regression

Convolutional neural Networks Visual-based Real Time Driver Drowsiness Detection System Using CNN

Convolutional neural networks Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Cu12Sb4S13 tetrahedrite Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

CuInGaSe2 (CIGSe) TFSC Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

CuInSe2 (CISe) Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Current control Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

CuSbS2 chalcostebite Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Cu-Se interactions Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Data science Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Decoding Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Density functions Instance Selection Based on Linkage Trees Deposition process by co evaporation Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Detection Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

DFTB+ Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Diabetes A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Diabetic foot Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

Diffusive coupling Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons


81

Digital Aerial Images Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis

Disturbance observer Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

Disturbance observer A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Docking Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Double ETL Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Driver’s drowsiness detection Visual-based Real Time Driver Drowsiness Detection System Using CNN

Driver’s fatigue Visual-based Real Time Driver Drowsiness Detection System Using CNN

Duffing oscillator Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Dynamic coupling Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

ECG Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

EEG EEG motor/imagery signal classification comparative using machine learning algorithms

Electrodermal activity Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Embedded system FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Embedded system. Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Empatica E4 Artifacts removal in electrodermal signals Empirical Mode Decomposition Artifacts removal in electrodermal signals

Encoding Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Epilepsy Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

ESO Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Euler Lagrange systems An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Euler-Langrage equations Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Event Embedding Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Event-trace clustering Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

Experimental platform Implementation of a BLDC Motor Observer Scheme using the INSTASPIN Platform

Exponential Cost Function Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function

Extended Kalman Filter Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Extended Lagrangian A Generalized Lagrange Multiplier Method for Support Vector Regression


82

Extended state observer Nonlinear Least Squares-based Identification of a Continuous Friction Model

Fault Detection and Isolation Concurrent Fault Diagnosis Based on an Extended Kalman Filter Fault estimation Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Feed drive FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Feedback Control Control and cable deployment of a tethered PVTOL aircraft

FGMOS Micromotors unit based on CMOS-MEMS technology integrated on a single chip

Flipped Voltage Follower High Transconductance Gain Low Voltage Class AB OTA

Formal specifications Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Formation control Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Fourier filter DFT-based phasor estimator using a MAF with a phase-lead compensator

FPGA Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

FPGA FPGA-based accuracy mechatronics of a feed-drive system with ball screw

FPGA Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Friction identification Nonlinear Least Squares-based Identification of a Continuous Friction Model

Fuzzy PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

GA Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Gabor edge detection Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis

Gate material engineering Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Gauss-Newton method A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Gene selection A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Genetic Algorithm Parametric identification of a magnetorheological damper based on Genetic Algorithm

Genetic algorithm (GA) Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Germanium nanoparticles Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

G-functions Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Graphene Graphene for a green-environmentally methodology with organic surfactants

Graphene Nanoribbon Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Grid-connected Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications


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Hadamard patterns Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Heart Rate Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Heart rate variability Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

Hindmarsh-Rose (HR) neurons Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

H-infinity controller A Novel Method to Analyze Input-Output Controllability

Holter recorder Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Homotopy continuation methods

Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

Hovering Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Human behavior Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset

Human Snoring An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

hybrid approach for fault diagnosis


Hybrid deposition method Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Hybrid deposition method Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Hybrid model Parameter identification from hybrid model using PSO and penalty functions

Hyperbolic Function Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Hysteresis Parameter identification from hybrid model using PSO and penalty functions

Ictal period detection Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals

IGZO Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Image Classification Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Image guided surgery Interpedicular screw placement image guided navigation surgery simulator.

Imaging System Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Inertial wheels Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Information Metrics Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis

Input error An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Input-output controllability A Novel Method to Analyze Input-Output Controllability Instance-selection Instance Selection Based on Linkage Trees


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Instrumentation Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Inverted pendulum Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Ionic strength Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

IoT Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

IR medical thermography Temperature prediction based on ANN linear regression with an LWIR sensor for the study of diabetic foot

K nearest neighbor A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Kalman filters Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

Kernel Fuzzy C-Means clustering

Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis

Kernel-based methods A Generalized Lagrange Multiplier Method for Support Vector Regression

LaCOSe Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Late Fusion Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

leader-follower Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Least Square Estimation Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Lightweight-cryptography A Lightweight Security Protocol for Beacons BLE Linear Matrix Inequality A systematic method for backstepping via linear matrix inequalities Linkage-tree Instance Selection Based on Linkage Trees

Logistic regression A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Long short-term memory neural networks


Low-Voltage Circuits. High Transconductance Gain Low Voltage Class AB OTA

Lumbar surgery Interpedicular screw placement image guided navigation surgery simulator.

Lyapunov stability An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Machine learning A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Machine Learning Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Machine Learning EEG motor/imagery signal classification comparative using machine learning algorithms

Magnetorheological damper Parametric identification of a magnetorheological damper based on Genetic Algorithm

Magnetron sputtering Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Mammography Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks


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Markers Design and Manufacture of a Training System for Ventriculostomy

Mathematical model Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Mean value engine model Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Mechanical properties Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Mechatronics FPGA-based accuracy mechatronics of a feed-drive system with ball screw

Memristor A Two-level Modeling Methodology for Memristive Devices

MEMS micromotor Micromotors unit based on CMOS-MEMS technology integrated on a single chip

Metaheuristics Instance Selection Based on Linkage Trees

Metaheuristics Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

Metrics Design and Manufacture of a Training System for Ventriculostomy

Micro SD Memory Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Microcrystalline Silicon Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Microwave Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

MIMO A Novel Method to Analyze Input-Output Controllability

MMT Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Mobile differential robot PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

Mobile robots Development of an Efficient Path Planning Algorithm for Indoor Navigation

Model Predictive Current Control

Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function

Model-based residual generation


Molecular Dynamics Simulation Molecular Dynamics simulation of Cu-Se interactions for CIGS solar cells growth process

Morphology Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Moving average filter DFT-based phasor estimator using a MAF with a phase-lead compensator

Multiclass Logistic Regression Multimodal Deep Learning via Late Fusion for Non-destructive Papaya Fruit Maturity Classification

Multi-layered CNN Supervised Neural Network for Offline Forgery Detection of Handwritten Signature

Multilevel inverter Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Multipixel object Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

Multivariable control A Novel Method to Analyze Input-Output Controllability


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Mutation testing Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Naïve Bayes classifier A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Nanostructured sensors A Resampling Approach for the Data-Based Optimization of Nanosensors

Nested saturation Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Network On Chip Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Neural networks Nonlinear Least Squares-based Identification of a Continuous Friction Model

Neural networks Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

News headlines Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Nonholonomics robots Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Non-linear control Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Nonlinear Identification Parametric identification of a magnetorheological damper based on Genetic Algorithm

Nonlinear least squares Nonlinear Least Squares-based Identification of a Continuous Friction Model

Nonlinear Modeling Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Nonlinear system Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Nueronal Networks Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Numeric optimization Development of an Efficient Path Planning Algorithm for Indoor Navigation

Numerical simulation Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Numerical simulation Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Numerical simulation Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Observer A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

Observers Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Obstacle avoidance Obstacle avoidance in leader-follower formation using artificial potential field algorithm

Obstacle avoidance PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

O-Cat CVD Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Off-line signatures Supervised Neural Network for Offline Forgery Detection of Handwritten Signature


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Oil and gas separation Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

On-Silicon Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling

Optical communication Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Optimization Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

Optimization Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Optimization Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-time Nonlinear Systems

Optimizer Supervised Neural Network for Offline Forgery Detection of Handwritten Signature

Ordered nanostructures Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Organic solar cells Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Organic solar cells Improvement the optical properties of the P3HT:PC70BM film using CdSe QD

Oxycalcogenides Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Parameter Identification An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

parameter identification Adaptive Tracking Control of an Uncertain Duffing-Holmes System

Parameter identification Parameter identification from hybrid model using PSO and penalty functions

Particle Swarm Optimization Parameter identification from hybrid model using PSO and penalty functions

Particle swarm optimization Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Path planning Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Path planning Development of an Efficient Path Planning Algorithm for Indoor Navigation

payload variation Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

PbS quantum dots Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

PC Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Pectoral Muscle Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

PECVD Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Permanent Magnet Synchronous Machine

Model Predictive Current Control of a Permanent Magnet Synchronous Machine with Exponential Cost Function

Permittivity Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to


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magnesium sulfate heptahydrate in water

Perovskite solar cell Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Persistence of excitement condition An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems

Phase-lead compensator DFT-based phasor estimator using a MAF with a phase-lead compensator

Phasor estimation DFT-based phasor estimator using a MAF with a phase-lead compensator

Phoniatric Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Photobioreactor A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

Photocatalysis Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Photoluminescence Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Photoluminescence Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Phototransistor Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Phototransistor Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Photovoltaic array Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Physical Index Nonlinear Modeling and Least Squares Optimization on Consolidation Property of Composite Soil Samples

PID PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot

PID controller Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Plasma treatment Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Polymeric matrix particulate Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Position estimation Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Positioning systems A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Power Consumption Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Price Prediction Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Process discovery Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

Projections-region Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

PSNR Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy


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PSO Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

P-type semiconductors Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

PVD Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

PVTOL Control and cable deployment of a tethered PVTOL aircraft

Quadrotor Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Quadrotor Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Radical axis A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Radiometer Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Raman scattering Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

Random Forest Ranking A Novel Hybrid Gene Selection Based on Random Forest Approach and Binary Dragonfly Algorithm

Reactive power control Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Real sea surface Comparative performance of two 2-D detectors in the case of multipixel low contrast object on a real sea surface

Real time implementation Visual-based Real Time Driver Drowsiness Detection System Using CNN

Recurrent neural network Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Reinforcement Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive

Reinforcement Learning Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Resampling A Resampling Approach for the Data-Based Optimization of Nanosensors

Resistive switching A Two-level Modeling Methodology for Memristive Devices

Responsivity Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

Robotic arm Collision-Free Path Planning Applied Robotic Arms Using Homotopy Continuation Methods for Embedded Systems

RRAM A Two-level Modeling Methodology for Memristive Devices

RT interval Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Sb3S2 thin films Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Scaling A Novel Method to Analyze Input-Output Controllability

SCAPS 1D Numerical Optimization of Materials Properties for High-Efficiency CISe Thin Film Solar Cells Using SCAPS-1D Simulator

Security A Lightweight Security Protocol for Beacons BLE


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Semantic segmentation Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Semi-active Control Parametric identification of a magnetorheological damper based on Genetic Algorithm

Sensitivity Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Sensitivity A Resampling Approach for the Data-Based Optimization of Nanosensors

Sensor Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Sensorless Rotor position estimation in a bldc motor at low speed using g-functions and extended state observers

Sentiment Analysis Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Sequence classification Automotive engine fault detection and isolation using LSTM for model-based residual sequence classification

Serial communication Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Shape Memory Alloy Parameter identification from hybrid model using PSO and penalty functions

Shear exfoliation Graphene for a green-environmentally methodology with organic surfactants

Signal processing Artifacts removal in electrodermal signals

Silvaco Atlas. Numerical Study of the Recombination Profiles in CIGSe Thin Film Solar Cells Through Silvaco Atlas Simulator after using Experimental Parameters

Simulation Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Simultaneous actuator faults Concurrent Fault Diagnosis Based on an Extended Kalman Filter

Single-board computer Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Single-phase control Simplified Reactive Power Control of a Multilevel Inverter for Grid-Connected Photovoltaic Applications

Single-pixel Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras

SiOxCy Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

Sliddig Mode Neuronal Slidding Mode Output Control Application in a Attitude for Quadrotor

Smart actuator Parameter identification from hybrid model using PSO and penalty functions

Snoring Etiology An objective analysis of human snoring based on an acoustic technique to determine the obstruction site.

Soft computing Soft computing tools for multiobjective optimization of offshore crude oil and gas separation plant for the best operational condition

Software testing Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

S-parameters Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling


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Spectroscopic Anisotropy properties of chicken muscle tissues with bioimpedance measurements via AD5933EBZ

Spherical robot Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Spiking Autonomous navigation of a mobile robot using a network of Hindmarsh-Rose (HR) neurons

Spine surgery Interpedicular screw placement image guided navigation surgery simulator.

Spine training simulator Interpedicular screw placement image guided navigation surgery simulator.

Spirulina A Lipchitz Observer Application in Photobioreactors for Microalgae Cultivation

SSIM Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

Stibnite Optoelectronic properties of Sb2S3 thin films grown by Physical Vapor Deposition

Stochastic signals Tuning, Control and Path Planning of a Spherical Robot using Stochastic Signals

Stock market Effect of Rate of Change of Stock Prices with News Sentiment Analysis

Structural complexity reduction Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

Support vector machine A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction

Support Vector Regression A Generalized Lagrange Multiplier Method for Support Vector Regression

Surfactants environmental-friendly Graphene for a green-environmentally methodology with organic surfactants

Surgery simulator Interpedicular screw placement image guided navigation surgery simulator.

TD3 Low-Level Control of a Quadrotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)

Test case generation Automatic Generation of Test Cases from Formal Specifications using Mutation Testing

Tether Control and cable deployment of a tethered PVTOL aircraft

Tetraethyl orthosilicate Photoluminescence properties of SiOxCy-films deposited under argon atmosphere and Si-based organometallic precursor by O-Cat-CVD

TFT Genetic Algorithm-based Approach to Enhance the Performance of Gate Engineered InGaZnO UV Thin-Film Phototransistor

Thermal annealing. Structural, optical and morphological characterization of Sb2S3 thin films grown by Physical Vapor Deposition.

Thermal stability Improving thermal stability of perovskite solar cell through interface modification by PbS quantum dots

Thermoelectric material Optoelectrothermoelectric properties of ternary chalcogenides thin films of CuSbS2 and Cu12Sb4S13

Thermoelectric materials Synthesis, characterization, and structure computational calculations of the oxycalcogenide LaCuOSe for thermoelectric applications.

Thermomechanical properties. Influence of MMT Reinforcement Fraction Variation on the Mechanical Properties of a Polycarbonate Polymer Matrix with an ABS Additive


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Thin Films Effect of argon plasma treatment on electronic properties of doped hydrogenated Silicon thin films for photovoltaic applications

Titanium dioxide Bandgap dependence on facet and size engineering of TiO2: A DFT Study

Tracking trajectory Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Training station Design and Manufacture of a Training System for Ventriculostomy

Transfer learning Semantic Segmentation of Mammograms Using Pre-Trained Deep Neural Networks

Transport layer Double ETL in ITO-free poly-3-hexylthiophene-based organic solar cells

Tree structure Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

UAV A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Uncertainty Open-Ended Coaxial Probe Technique for the measurement of the ionic strength due to magnesium sulfate heptahydrate in water

Under-actuated system Control Scheme for Rotary Base Inverted Pendulum by Means of Nested Saturation Functions

Under-actuated system A Disturbance Observer Based Control scheme using an Active Disturbance Rejection Controller: An underactuated moving crane example.

Under-actuated systems Modeling and simulation of a Furuta pendulum actuated by an inertial wheel

Unmanned aerial vehicle Model Reference Adaptive Control for an unmanned aerial vehicle with variable-mass payloads

Unmanned aerial vehicle 5G Connectivity for Aerial Scenarios: a New Spatial and Temporal Perspective for Wireless Networks

Unmanned Aerial vehicles (UAVs) Toward a single-pixel near-infrared low-resolution 2D image reconstruction strategy

UWB A New Positioning Algorithm Robust to Measured Distances Errors for Non-Overdetermined Systems.

Ventriculostomy Design and Manufacture of a Training System for Ventriculostomy

Vestibulo ocular reflex Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset

Vias RF-CMOS process Analysis of On-Silicon-Vias for an Advanced RF-CMOS Process: Experimental Characterization and Modeling

Virtual reality Vestibulo Ocular Reflex Analysis while Using a Virtual Reality Headset

Virtual Screening Comparison of performance of two virtual screening software on acetylcholinesterase protein molecular docking

Visual detection Visual-based Real Time Driver Drowsiness Detection System Using CNN

VLSI Reduction Of Energy Consumption in NoC Through The Application Of Novel Encoding Techniques

Voice Quality Phoniatric system based on acoustical analysis for early detection of anomalies in voice production.

Wavelet Transform Prototype of an Ambulatory Long-Term ECG Monitoring System for Real Time Detection of QRS Complex and T Wave End Based on FPGA

Wearables Ictal Periods Detection in Photoplethysmographic and Electrodermal Signals


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Wireless Single-Board Computer based Architecture and Firmware for Radiometers with Radio Astronomy applications

Workflow nets Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering

XRD characterization Synthesis and Characterization of Ge Nanoclusters in Amorphous GeOx (x~0.1) Nano-Films Grown by Magnetron Sputtering

ZnO Optimized Graphene Nanoribbon UV Phototransistor Based on ZnO Sensitive Gate for Optical Wireless Communications

18th international conference cce 2021

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