Conference Abstract - iceee

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Conference Abstract

2022 9th International Conference on Electrical and Electronics Engineering

(ICEEE 2022)

With workshop 2022 International Conference on Computer Engineering, Technologies and Applications

(CETA 2022)

March 29-31, 2022

Alanya, Turkey

Co-organized by

Published by

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Table of Contents

Organizing Committee .................................................................................................................... 3

Welcome Message .......................................................................................................................... 6

Useful Information ........................................................................................................................... 7

Keynote Speakers ........................................................................................................................... 9

Conference Schedule .................................................................................................................... 14

Day 2 Onsite Presentation Sessions, March 30 ............................................................................ 17

Day 3 Online Presentation Sessions, March 31 ............................................................................ 33

About Alanya .................................................................................................................................. 56

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Conference Committee

Advisory Committee

Alberto Borghetti, University of Bologna, Italy (IEEE Fellow)

Rüdiger Dillmann, Karlsruhe Institute for Technology (KIT), Germany (IEEE Fellow)

Falko Dressler, University of Paderborn, Germany (IEEE Fellow)

Kemal Leblebicioğlu, Middle East Technical University, Turkey

Ferat SAHIN, Rochester Institute of Technology, USA

Honorary Chairs

Musa Yıldız, Gazi University, Turkey

Mustafa Kurt, Marmara University, Turkey

Conference General Chair

Mahir DURSUN, Gazi University, Turkey

Conference Co-Chairs

Hasan Erdal, Marmara University, Turkey

Cengiz TAPLAMACIOĞLU, Gazi University, Turkey

Timur Aydemir, Kadir Has University, Turkey

Program Chairs

Nozar Tabrizi, Kettering University, USA

Amar Mezache, Universty Mohamed Boudiaf-M'sila, Algeria

Diaa Fawzy, Izmir University of economics, Turkey

Vanco Cabukovski, Sts Cyril and Methodius University, Macedonia

Yaşar Birbir, Marmara University, Turkey

Publicity Co-chairs

Huseyin Seker, Birmingham City University, UK

Marlen Asanov, V.I. Vernadsky Crimean Federal University, Ukraine

Semih Ozden, National Defense University, Turkey

Mustafa Burunkaya, Gazi University,Turkey

Selahattin KUCUK, Istanbul Yeni Yuzyil University, Turkey

Poppy Puspitasari, Universitas Negeri Malang, Indonesia

Fevzi Baba, Marmara University, Turkey

Local Organizing Committee

Mehmet Ali Ozcelik, Gaziantep University, Turkey

Diaa Fawzy, Izmir University of economics, Turkey

Timur Aydemir, Kadir Has University, Turkey

Mahir DURSUN, Gazi University, Turkey

Mustafa Burunkaya, Gazi University, Turkey

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Secretaries Office Mehmet Sevri, Gazi University, Turkey Semih Özden, National Defense University, Turkey Banu Yılmaz Yaşar Supporter: IEEE Power Electronics Society (PELS), Turkey Section Mehmet Ali Ozcelik, Gaziantep University, Turkey Ahmet Aksöz, Sivas Cumhuriyet University, Turkey Taner Goktas, Inonu University, Turkey

Technical Committee Robert Balog, Texas A&M University, USA Hiba Abdallah, Beirut Arab University, Lebanon Priyanka Surendran, AMA International University, Bahrain, Bahrain Muhammad Akmal Chaudhary, Ajman University, UAE Dipankar Saha, Indian Institute of Technology Bombay, India Ali Jamoos, Al-Quds University, Palestine Abdelmadjid Recioui, University of Boumerdes, Algeria Sheeraz Kirmani, Aligarh Muslim University, India Taissir Elganimi, University of Tripoli, Libya Hashimah Hashim, Universiti Teknologi MARA, Malaysia Abdul Nasir Abd Ghafar, Universiti Malaysia Pahang (UMP), Malaysia Huseyin Uvet, Yildiz Technical University, Turkey Beyda TAŞAR, Firat University Department of Mechatronic Engineering, Elazig, Turkey Hamdy A. Ziedan, Assiut University, Egypt Hani. K. Almohair, King Fahd University of Petrolum and Minerals, Saudi Arabia Yahya Naderi, University of Strathclyde, UK Maisarah Abu, universiti teknikal malaysia melaka, Malaysia Ahmet Yucekaya, Kadir Has University, Turkey Poorani Shivkumar, Erode Sengunthar Engineering College, India Subarna Shakya, Tribhuvan University, Nepal Korhan Cengiz, Trakya University, Turkey Ahmet Mete Vural, University of Gaziantep, Turkey Tsung-Mou Huang, Taiwan Power Company, Taiwan Kazem Varesi, Sahand University of Technology, Iran Mohammed Bataineh, Asem Al-Zoubi, Yarmouk University, Jordan P.TRINATHA RAO, GITAM UNIVERSITY, India Ibrahim Abdel-Motaleb, Northern Illinois University, Canada M. M. Azizur Rahman, Grand Valley State University, Canada David Hicks, Texas A&M University - Kingsville, US Orhan Dagdeviren, Ege University, Turkey Siroos Toofan, University of Zanjan, Iran Hamid Bentarzi, UMBB University, Boumerdes, Algeria Ali Bekir Yildiz, Kocaeli University, Turkey Mudarmeen Munlin, Mahanakorn University of Technology, Thailand Rini-Nur Hasanah, Brawijaya University, Indonesia Cristian Paul Chioncel, Babeș-Bolyai University Cluj Napoca, Romania Fouad Zaro, PPU, Palestine Najam ul Hasan, Dhofar University, Oman Jameel Ahmed, Riphah International University, Pakistan Parameshachari B D, GSSS Institute of Engineering and Technology for Women, India Ahmed Abugalia, Sirte University, Libya Oktay Aytar, Abant izzet Baysal University, Turkey Rahman Dashti, Persian Gulf University, Iran Hamid Reza Shaker, Center for Energy Informatics, University of Southern Denmark , Denmark Zafer Bingül, Kocaeli university, Turkey Mohd Ashraf Bin Ahmad, Universiti Malaysia Pahang, Malaysia

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M. MADHESWARAN, Mahendra Engineering College, India Noraziahtulhidayu Kamarudin, University Tun Hussein Onn Malaysia, Malaysia Munir Al-Absi, KFUPM, Saudi Arabia Youssef Zidani, Cadi Ayad University Marrakesh, Morocco Driss Belkhayat, Cadi Ayad University Marrakesh, Morocco Kada Bouchouicha, Unité de Recherche en Energies Renouvelables en Milieu Saharien, Algeria Mustafa Berke Yelten, Istanbul Technical University, Turkey Tomas Mrovec, VSB - Technical University of Ostrava, Czechia MehrdadAhmadi Kamarposhti, Islamic Azad University, Iran Mostafa Rashdan, The American University of the Middle East, Kuwait Fahmi Elsayed, American University of the Middle East, Kuwait Nur Shamsiah Abdul Rahman, Universiti Malaysia Pahang, Malaysia Ibrahim Al-Naimi, Sultan Qaboos University, Oman Muhammad Imran Aslam, NED University of Engineering and Technology, Pakistan Touafek Khaled, URAER, Algeria Abraiz Khattak, National University of Sciences and Technology, Pakistan Abasin Ulasyar, National University of Sciences and Technology, Pakistan Maria Zafar, University of Central Punjab, Pakistan Ayetül Gelen, Bursa Technical University, Turkey Reza Sirjani, Eastern Mediterranean University, Turkey Serdar Ethem Hamamci, İnönü Ünversitesi, Turkey Nadjet Zioui, Université du Québec à Trois-Rivières, Canada Abdellah OUKASSI, National School of Applied Sciences (ENSA), Morocco Mashuq Un Nabi, IIT-Delhi, India Irfan Ahmed, NED University of Engineering and Technology, Pakistan Paolo S. Crovetti, Politecnico di Torino, Italy NAMOUNE Abdelhadi, Ahmed Zabana University Relizane, Algeria Ali Ajder, Yildiz Technical University, Turkey Muhammed S. Boybay, Igdir University, Turkey Cihan Dogusgen Erbas, Istanbul Yeni Yuzyil University, Turkey Abdurrahman Ünsal, Kutahya Dumlupinar University, Turkey Adnan Salman, An-najah National University, Palestine M. Ali Akcayol, Gazi University, Turkey Aissa Amrouche, USTHB, Algeria Burak Polat, Yildiz Technical University, Turkey Ghassen Ben Brahim, Prince Mohammad Bin Fahd University, Saudi Arabia Khadidja Nesrine Boubakeur, USTHB, Algeria Yakup Genc, Gebze Technical University, Turkey Pınar Oğuz Ekim, ieu, Turkey Ahmet Aksoz, Sivas Cumhuriyet University, Turkey Mesut KARTAL, Istanbul Technical University, Turkey Norita Md Norwawi, Universiti Sains Islam Malaysia, Malaysia Nor Hapiza Mohd Ariffin, Universiti Teknologi MARA (UiTM), Malaysia Zan Azma Nasruddin, Universiti Teknologi MARA (UiTM), Malaysia Ece Olcay Güneş, ITU Faculty of Electrical and Electronics Engineering, Turkey Rami Alazrai, German Jordanian University, Jordan Husam Hamad, Yarmouk University, Jordan Arief Ramadhan, Universitas Bina Nusantara, Indonesia Shynar Mussiraliyeva, Al-Farabi Kazakh National University, Kazakhstan Ibrahim GÜNEŞ, Istanbul University, Turkey Norhana Arsad, Universiti Kebangsaan Malaysia, Malaysia Mohammad Al-Khedher, Abu Dhabi University, United Arab Emirates Ratna Dahiya, National Institute of Technology, India Omar Hiari, German Jordanian University, Jordan Raed Mesleh, German Jordanian University, Jordan Olegs Sliskis, Riga Technical University, Latvia

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Welcome Message

Welcome to 2022 9th International Conference on Electrical and Electronics Engineering (ICEEE 2022)

and its workshop 2022 International Conference on Computer Engineering, Technologies and

Applications (CETA 2022) at this wonderful city of Alanya in Turkey! After two years virtual conferences,

this year, we’re very glad to hold our 9th edition of ICEEE with its workshop CETA hybrid, in Alanya and

virtually. The onsite conference must be very exciting and the online platforms will also be the new norm

in the wake of many different Covid19 variants. Let us hope that the pandemic will subside soon and more

participants could join us to have face-to-face conference again in the near future.

ICEEE2022 is supported by Gazi University and Marmara University and is always a forum for presenting

excellent results and new challenges facing the field of the reliability and availability of electrical and

electronics engineering and computer engineering, technologies and applications. It brings together

experts from industry, governments and academia, experienced in engineering, design and research. As

conference general chair, we have done our best to set up a solid technical program to foster discussion

and research cross-fertilization.

The program committee accepted 82 full papers among 168 submissions covering a variety of topics in

the fields of electrical and electronics engineering and we would like to thank the authors for providing the

content of the program, the technical program committee members who worked very hard in reviewing

papers and providing valuable suggestions for paper improvements. We hope that proceedings will serve

as a valuable reference for researchers and developers.

And we are honored to have 4 excellent keynote speakers joining us, they are Prof. Leopoldo Angrisani

(IEEE Fellow) from University of Napoli Federico II, Italy; Prof. Falko Dressler (IEEE Fellow, Chair for

Telecommunication Networks) from TU Berlin, Germany; Prof. Mohamed Benbouzid (IEEE Fellow, IET

Fellow) University of Brest, France; Assoc. Prof. Hüseyin ÜVET from Yildiz Technical University, Turkey.

Last but not least, on behalf of the organizing committee, I would like to thank everyone for making this

event possible. I do hope we can exchange new research ideas, do useful networking among each other.

Cheers!

Conference General Chair

Mahir DURSUN

Gazi University, Turkey

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Useful Information

Conference Venue

Miracle Resort Lara Antalya https://www.miraclehotel.com/en

Address: Güzeloba Mah. Yaşar Sobutay Bulvarı No: 34 PK: 07230 Lara / Antalya /

TURKİYE Tel: +90 242 524 57 18

Email: [email protected]

For reservation or contact person, you can also contact:

Mobile: + 90 532 412 11 68 Email: [email protected]

Time Zone

UTC/GMT+3

Average Temperature in March in Alanya

Average daily minimum temperature Average daily maximum temperature

12℃ 20℃

Bank and Foreign Exchange

The Currency is Turkish Lira here.

Important Information

♣ Due to COVID-19 Pandemic, delegates please show health QR code and wear face mask to attend conference. For health consideration, please wash hands before meals and use serving chopsticks and serving spoon during meals. ♣ Please take care of your belongings in public area. For your personal and property safety, delegates are suggested to wear representative card during conference and not to lend it to those unconcerned to enter event rooms. Conference does not assume any responsibility for loss of personal belongings of participants. ♣ Don’t stay too late in the city, don’t be alone in the remote area. Be aware of the strangers who offer you service, signature of charity, etc., at scenic spots. You can search more Tourist Information and Security tips online.

Emergency Numbers

Medical Emergency: 112 Police: 155 Fire: 110

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Useful Information

ZOOM Download: https://zoom.us/

ZOOM Using & Presentation Instruction: www.iceee.org/PresentationInstruction.pdf

ZOOM online conference room will be open 30 mins before scheduled time.

It’s suggested to use headset with microphone or earphone with microphone.

Please choose right room to join in while test and presentation session.

Prepare the PPT file of your presentation on your laptop in advance.

Duration of Each Presentation: 15 Minutes in total including 12 Minutes Presentation and 3

Minutes Q&A.

The regular oral presentation time arrangement is for reference only. In case any absence or

some presentations are less than 15 minutes, please enter the room before session starts.

Please rename your screen name before entering the room

Rename screen name before entering the room Examples

Authors: Paper ID-Name C02-John Smith

Listener: Listener- Name Listener-John Smith

Keynote Speaker: Keynote-Name Keynote-John Smith

Committee Member: Committee-Name Committee-John Smith

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Keynote Speakers

March 30, 2022, Wednesday, 9:05-9:45, Turkey Time, GMT+3 Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

Prof. Leopoldo Angrisani

IEEE Fellow, Chair of IEEE Instrumentation & Measurement Italy Chapter

General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services

MedITech Competence Center I4.0 - Technical-Scientific Committee Coordinator

University of Napoli Federico II, Italy

Title: Technological Challenges in Digital Signal Acquisition

Abstract: Signal analysis assists the development, verification, and maintenance of all electronic systems. More and more often, a digital representation of the signal under test is needed at all the stages to carry out time and/or frequency domain analyses. A digital representation permits indeed to take benefit of all the possibilities offered by digital signal processing approaches for effectively facing troublesome measurement tasks.

Evidently, the first step in signal analysis consists in digital signal acquisition, which becomes a really challenging task as the demand of real-time bandwidth and corresponding sample rates, as well as of vertical resolution and accuracy, progressively increases at the urging of test and measurement needs, raised by the most recent systems that operate by means of ultrawide signals centred at frequency values equal to tens of gigahertz.

After reviewing the fundamental achievements in digital signal acquisition fostered by the research and development efforts in digital storage oscilloscope technologies, the most recent breakthroughs are discussed. Both single channel and multi-channel digital signal acquisition architectures are analysed, drawing, in the latter case, a distinction between basic time interleaving (TI), digital bandwidth interleaving (DBI) and asynchronous time interleaving ATI) approaches. It is shown how TI architecture can really be effective at improving the sample rate, but it needs an analogue front-end capable of supporting the full bandwidth on each channel, which limits the typical real-time bandwidth performance to the 30–40 GHz range.

The essence of DBI-based solutions, which filter the input spectrum to separating the low from the high portions, and separately digitize them by means of ADCs with almost half the whole bandwidth of the input signal, is elucidated. The principle of ATI-based solutions, which instead fold the input spectrum at the middle of the bandwidth making the high part overlap to the low one, before proceeding with the digitization is also illustrated.

Furthermore, the common issues involved in the identification of hardware mismatches and subsequent design of streamline calibration approaches are also dealt with. Methods to increase the vertical resolution when addressing signals with narrowband spectral contents far from the baseband range, and methods to grant fine selection of the sample rate with almost arbitrary resolution are finally discussed.

Bio: Leopoldo Angrisani is Full Professor of Electrical and Electronic Measurements with the Department of Information Technology and Electrical Engineering of the University of Naples Federico II, Italy. He is also General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services and member of the Board of the Ph.D. Program on Information Technology and Electrical Engineering of University of Naples Federico II.

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Keynote Speakers

His research activity is currently focused on communication systems and networks test and measurement; measurements for Internet of Things applications; compressive sampling based measurements; measurements for Industry 4.0; measurement uncertainty.

He was and is currently involved in many industrial research projects, in cooperation with small, medium and great enterprises, for which he played and is currently playing the role of scientific coordinator. He is currently playing a relevant role in designing and developing the strategic pillars on which the national Competence Center on Industry 4.0, MedITech, led by Federico II University and geographically located in the South of Italy, is going to be based.

He is Fellow Member of the IEEE Instrumentation and Measurement and Communications Societies, Chair of the IEEE Instrumentation & Measurement Society Italy Chapter, Honorary Chairman of the first edition (M&N 2019) of the IEEE International Symposium on Measurements & Networking 2019, General Chairman of the second edition (MetroInd4.0&IoT 2019) of the IEEE International Workshop on Metrology for Industry 4.0 and IoT 2019. He was one of the promoters of the TC-37 “Measurements and Networking” technical committee of the IEEE Instrumentation & Measurement Society and General Chairman of the first (M&N2011), second (M&N2013), third (M&N2015) and fourth edition (M&N2017) of the IEEE International Workshop on Measurements & Networking. He is Representative of Italy in the IEC Validation Team-VT 60050 for maintenance and management of the International Electrotechnical Vocabulary and member of the Italian Association “GMEE-Electrical and Electronic Measurements Group”, of CNIT, National Inter-university Consortium for Telecommunications, of the Technical Committee CT 1/25 “Terminology, Quantities and Units” of CEI (Italian Electrotechnical Committee).

He is corresponding member of the Accademia Pontaniana in Naples, the oldest Italian academy, with almost 600 years of history, which has always brought together renowned Neapolitan scholars.

In 2009, he was awarded the IET Communications Premium for the paper entitled “Performance measurement of IEEE 802.11b-based networks affected by narrowband interference through cross-layer measurements” (published in IET Communications, vol. 2, No. 1, January 2008).

In 2013, he was awarded the prestigious recognition "IEEE Transactions on Instrumentation and Measurement Outstanding Reviewer".

The IEEE Instrumentation & Measurement Society Italy Chapter, which he has been chairing since 2015, was awarded in 2016 the prestigious recognition “I&M Society Best Chapter Award” by the IEEE Instrumentation & Measurement Society, in 2017 the prestigious recognition “Most Improved Membership Chapter for 2016” and in 2018 the prestigious recognition “Most Innovative Chapter 2018” by the IEEE Italy Section.

He is the author or co-author of about 300 international scientific articles, more than one-third of which published in relevant international journals with impact factor.

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Keynote Speakers


Prof. Falko Dressler,

IEEE Fellow, Chair for Telecommunication Networks

TU Berlin, Germany

http://www.tkn.tu-berlin.de/team/dressler/

Title: From Vehicular Networking to 5G and Mobile Edge Computing to 6G and Virtual Edge Computing Abstract: We will discuss the challenges and opportunities of the connected cars vision in relation to the need for distributed data management solutions ranging from the vehicle to the mobile edge and to the data centers. Vehicular networking solutions have been investigated for more than a decade but recent standardization efforts just enable a broad use of this technology to build large scale Intelligent Transportation Systems (ITS). Modern 5G networks promise to provide all means for communication in this domain, particularly when integrating Mobile Edge Computing (MEC). However, it turns out that despite the many advantages, it is unlikely that such services will be provided with sufficient coverage. As a novel concept, vehicle micro clouds have been proposed that bridge the gap between fully distributed vehicular networks based on short range device to device communication and 5G-based infrastructure. Using selected application examples, we assess the advantages of such systems. We conclude the talk by shedding light on future virtual edge computing concepts that will enable edge computing even considering minimal deployment and coverage of 5G MEC. Bio: Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler has been associate editor-in-chief for IEEE Trans. on Mobile Computing and Elsevier Computer Communications as well as an editor for journals such as IEEE/ACM Trans. on Networking, IEEE Trans. on Network Science and Engineering, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been chairing conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM. He authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member. He is a member of the German National Academy of Science and Engineering (acatech). He has been serving on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research objectives include adaptive wireless networking (sub-6GHz, mmWave, visible light, molecular communication) and wireless-based sensing with applications in ad hoc and sensor networks, the Internet of Things, and Cyber-Physical Systems.

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Keynote Speakers


Prof. Mohamed Benbouzid

IEEE Fellow, IET Fellow

University of Brest, France

Speech Title: Microgrids Energy Management: Methods, Solutions, Challenging Locks, and Prospects Abstract: Renewable energy resources are currently being deployed on a large scale to meet the requirements of increased energy demand, mitigate the environmental pollutants, and achieve socio-economic benefits for sustainable development. The integration of such distributed energy sources into utility grid paves the way for microgrids. The microgrid concept is introduced to have a self-sustained system consisting of distributed energy resources that can operate in an islanded mode during grid failures. In microgrid, an energy management system is essential for optimal use of these distributed energy resources in intelligent, secure, reliable, and coordinated ways. In this context, this keynote aims to critically discuss decision-making strategies and their solution methods for microgrid energy management systems. Renewables and load demand volatility and intermittency will also be discussed through uncertainty quantification methods. Finally, a comparative analysis of communication technologies will also be discussed for cost-effective implementation of microgrid energy management systems. Bio: Mohamed Benbouzid (S’92–M’94–SM’98–F’20) received the B.Sc. degree in electrical engineering from the University of Batna, Batna, Algeria, in 1990, the M.Sc. and Ph.D. degrees in electrical and computer engineering from the National Polytechnic Institute of Grenoble, Grenoble, France, in 1991 and 1994, respectively, and the Habilitation à Diriger des Recherches degree from the University of Picardie “Jules Verne,” Amiens, France, in 2000. After receiving the Ph.D. degree, he joined the Professional Institute of Amiens, University of Picardie “Jules Verne,” where he was an Associate Professor of electrical and computer engineering. Since September 2004, he has been with the University of Brest, Brest, France, where he is a Full Professor of electrical engineering. Prof. Benbouzid is also a Distinguished Professor and a 1000 Talent Expert at the Shanghai Maritime University, Shanghai, China. His main research interests and experience include analysis, design, and control of electric machines, variable-speed drives for traction, propulsion, and renewable energy applications, and fault diagnosis of electric machines. Prof. Benbouzid is an IEEE Fellow and a Fellow of the IET. He is the Editor-in-Chief of the International Journal on Energy Conversion and the Applied Sciences (MDPI) Section on Electrical, Electronics and Communications Engineering. He is a Subject Editor for the IET Renewable Power Generation.

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Keynote Speakers


Assoc. Prof. Hüseyin ÜVET

Yildiz Technical University, Turkey

Speech Title: Investigation of Cell Mechanical Properties Using Optical Holography

Abstract: The mechanical properties of the cells are important in biological processes, and therefore studies that measure the response of the cells over external mechanical signals have attracted great attention. Cellular mechanics is a determining factor in cellular activities such as cell differentiation, migration, apoptosis, proliferation, wound healing, cell growth and metastasis behavior. Cell stiffness is an important mechanical feature that is related to cell identity. For example, it has been observed that the stiffness of metastatic cancer cells is softer than benign cells, and studies have shown that mechanical hardness has an effect on migration ability. For cell stiffness measurements, a wide variety of available instruments have been developed, such as optical tweezers, atomic force microscopy, micropipette aspiration, magnetic twisting, and cytometry. Measurement methods, on the other hand, are not very efficient, take a long time, and can only get data from a small number of cells. These are some of the drawbacks. Biological cells can be studied using digital holographic microscopy (DHM), which allows for the extraction of quantitative measurements of surface deformation and phase profiles. Here, we'll discuss digital holography, which is an excellent tool for studying living cells, including their volume and thickness as well as their refractive index and their growth, mobility, and morphology.

Bio: Huseyin Uvet received the B.S. degree in computer science from Istanbul Kultur University, Istanbul, Turkey, in 2004, and the M.S./Ph.D. degrees from Osaka University Systems Science and Applied Informatics, Osaka, Japan, in 2007 and 2010, respectively, with the focus on micro/nano-robotics and lab-on-a-chip systems. He is currently an Assistant Professor with Department of Mechatronics Engineer, Yildiz Technical University. His research interests include micro/nano-robotics, lab-on-a-chip devices, biomedical robotics, and micro-nano air vehicles. He is an Expert System Innovation Engineer with a diverse ability in mechatronics device engineering and assembly process automation. He received numerous prizes and awards from prestigious international and national competitions, conferences.

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Conference Schedule

Day 1, March 29, 2022, Tuesday, Turkey Time, GMT+3

Online Zoom Test Schedule

Test 1 March 29, 2022, Tuesday, 13:00-14:00, Turkey Time, GMT+3 C48, C28, C79, C46, C61, C109, C30, C81, C93, C72, C100, C95, C26, C53, C103, C1501, C20, C50, C43, C74, C110, C11, C45, C1406, C1411, C16, C63 Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

Test 2 March 29, 2022, Tuesday, 14:10-15:10, Turkey Time, GMT+3 C71, C128, C123, C40, C55, C138, C120, C96, C76, C133, C104, C42, C136, C111, C99, C73, C125, C80, C31, C52, C117, C39, C131, C83 Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

March 29, 2022, Tuesday, 10:00-15:30, Turkey Time, GMT+3 Committee Member, Keynote Speaker Test: Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

Breakout Room 1 for Session Chair Test: Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

Onsite Sign-in and Collect Conference Materials at Hotel Lobby

March 29, 2022, Tuesday, 13:30-17:30, Turkey Time, GMT+3

Day 2, March 30, 2022, Wednesday, Turkey Time, GMT+3

Time Schedule

Onsite Meeting Room: Phaselis-5, Floor: Lobby Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

Host

Prof. Cengiz TAPLAMACIOĞLU, Gazi University, Turkey

9:00-9:05 Welcome Message from Conference General Chair

Prof. Mahir DURSUN, Gazi University, Turkey

9:05-9:45 Keynote Speech 1

Speech Title: Technological Challenges in Digital Signal Acquisition Prof. Leopoldo Angrisani IEEE Fellow, Chair of IEEE Instrumentation & Measurement Italy Chapter General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services MedITech Competence Center I4.0 - Technical-Scientific Committee Coordinator University of Napoli Federico II, Italy

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Conference Schedule


Speech Title: From Vehicular Networking to 5G and Mobile Edge Computing to 6G and Virtual Edge Computing Prof. Falko Dressler, IEEE Fellow, Chair for Telecommunication Networks TU Berlin, Germany

10:25-10:45

Group Photo and Break Time


Speech Title: Microgrids energy management: Methods, solutions, challenging locks, and prospects Prof. Mohamed Benbouzid IEEE Fellow, IET Fellow University of Brest, France


Speech Title: Investigation of Cell Mechanical Properties Using Optical Holography Assoc. Prof. Hüseyin ÜVET Yildiz Technical University, Turkey

12:05-13:30

Turkuaz Main Restaurant, -1st floor

Break Time

Onsite Meeting Room: Phaselis-5

Online Zoom Number: 834 4931 3521

Password: 222931

Onsite Meeting Room: Phaselis-1

Online Zoom Number: 889 1011 2691

Password: 222931

Session 1

13:30-16:15

Session 2

13:30-16:15

Session 3

16:30-19:00

Session 4

16:30-18:45

19:00-20:00

Turkuaz Main Restaurant, -1st floor

Break Time

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Conference Schedule

Day 3, March 31, 2022, Thursday, Turkey Time, GMT+3

Online Sesssions: Time and Schedule

Room 1

Zoom Number: 834 4931 3521 Password: 222931

Room 2


Room 3


Session 5

9:30-11:45

Session 6

9:30-11:45

Session 7

9:30-11:45

Session 8

13:30-15:30

Session 9

13:30-15:30

Session 10

13:30-15:30

15:50-16:10 Online Closing Ceremony

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Day 2, March 30, 2022, Turkey Time, GMT+3: Onsite Sessions

Session 1: Electronics and Electrical Engineering Time: 13:30-16:15, March 30, 2022, Turkey Time, GMT+3 Onsite Meeting Room: Phaselis-5, Floor: Lobby Session Chair: Prof. Husam Hamad, Yarmouk University, Jordan Assoc. Prof. Hüseyin ÜVET, Yildiz Technical University, Turkey Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

C15

13:30-13:45

Metamodeling Techniques in Analog Circuit Design Authors: Yusra Obeidat, Huda Al-Khateeb, and Sami Al-Hamdan Presenter: Husam Hamad, Yarmouk University, Jordan Abstract: Computational time in analog circuit design is mostly expended by simulators such as PSPICE to determine circuit performance specifications. In many classical as well as contemporary methodologies, metamodels are used as surrogates of circuit simulators to increase computational efficiency of performance specifications, and with accuracy comparable to simulation results. The accuracy of a metamodel depends on its type and the experimental design used to generate it. Two prevalent metamodel types include the classical Response Surface Models (RSMs), and the more recent and increasingly more popular Kriging metamodels. This work compares RSM and Kriging metamodels in analog circuit design, whereby we conclude that the increased popularity of the Kriging techniques may be unjustifiable--provided that minimum bias experimental designs are used in RSMs generation.

C82

13:45-14:00

3-Phase Multi-Pulse Rectifiers with Different Phase Shifting Transformers and Comparison of Total Harmonic Distortion Authors: Muhammed Calar, Emre Durna and Korhan Kayisli Presenter: Muhammed Calar, Aselsan Inc, Turkey Abstract: This paper addresses the comparison of a multi pulse rectifiers which designed with different topologies as star-delta-zigzag connection and their couples (delta-star, delta-delta, star-delta, star-star, zig-zag) for different phase shifting features. It is important because using different transformer pairs with different number of pulses will change the output voltage’s total harmonic distortion. The purpose of this work is to compare the possible transformer structures in terms of Total Harmonic Distortion (THD) and power factor value with good voltage regulation. Multi pulse rectifiers with 6-12-18-24-36-pulse will also be added to the comparison work. Simulation results are given to assess the performance of these topologies in terms of power factor and THD. To meet power quality requirement over multi-pulse rectifiers, THD value needs to be lowered, this study compare which transformer configurations and number of pulses give better power quality.

C86

14:00-14:15

Analysis of Fuel Cell Based Time Delayed Load Frequency Control Having Energy Storage Systems Authors: Mustafa Saka, Merve Demirci, Ibrahim Eke, Haluk Gozde, Mahir Dursun and M. Cengiz Taplamacioglu Presenter: M. Cengiz TAPLAMACIOGLU, Gazi University, Turkey Abstract: In this paper single area fuel cell based load frequency control (LFC) system is examined. This system has a battery energy storage system (BESS) and flywheel energy storage system (FESS). Due to communication components, communication time delay is often occurred in the LFC system in practice. For this reason, this delay is added to system model. In order to improve the system performances, fractional

order proportional-integral-derivative (〖"PI" 〗^"λ" "D" ^"µ" ) controller is used and it

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is tuned via recently developed Equilibrium Optimizer (EO). The present study, three different analyzes are performed. First, effectiveness of proposed controller and method are compared with the literature. Second, impact of variations of communication time delays are analyzed. Finally, the impact of changing of system time constants are examined. Obtained results are shown that system performances have been improved. In addition, the effects of variations in time delay and time constants on the system are shown comparatively.

C119

14:15-14:30

Design and Development of Printed Circuit Board (PCB) for Smart Calorie Counter System Authors: Nurfarhana Mohamad Sapiee, Joo Lee Yeu, Tan Wai Seng,Mastang Tanra, Nik Shanita Safii, Sareena Hanim Hamzah and Norhana Arsad Presenter: Norhana Arsad, Universiti Kebangsaan Malaysia, Malaysia Abstract: Awareness of calorie intake among people has increased due to health concerns. An inappropriate amount of calorie intake may affect our health. Daily recording of food consumed helps calculate calorie intake. However, busyness and forgetfulness are problems faced in the daily recording. Therefore, a β-version smart calorie counter prototype was developed for daily recording. However, the accuracy and consistency of measurements are influenced by easily loosen wire connections and the instability of components. A printed circuit board (PCB) is designed and developed to improve the stability and accuracy of the counter. This prototype tracks between components are designed. After comparing 2-layer PCB with 4-layer PCB, the 2-layer PCB design is chosen and sent to the manufacturer. The printed PCB is tested and troubleshot. 2-layer PCB with dimensions 10cm by 11cm is developed as it has a cheaper printing cost. From the result, the accuracy of this prototype is better than the β-version-prototype with an accuracy of 99.85% and an average percentage error of 0.15%, but the β-version prototype had an accuracy of 99.64% and average percentage error of 0.36%.

C94

14:30-14:45

Analysis of HfO2 and ZrO2 as High-K Dielectric for CMOS Nano Devices Authors: Talal Hasan, Salahuddin Zafar, Ekmel Ozbay, Ahsan Ullah Kashif Presenter: Salahuddin Zafar, Bilkent University, Ankara, Turkey Abstract: An analysis has been made on high-K dielectrics (HfO2 and ZrO2) for the CMOS process up to 14 nm FAB technology node. The aim is to study the reduction in gate leakage current for Nano-scale devices. High-K Dielectric having K > 20 is beneficial for CMOS Nano-devices, reducing the gate leakage current when EOT < 0.5 nm. MOS structure with high-K, i.e., HfO2 and ZrO2, has been simulated in SILVACO T-CAD to consider as gate stack: metal/oxide/p-Si for the different FAB nodes; 45, 32, 22 & 14 nm. SiO2 is considered a reference to optimize the MOS structure with high-K dielectric. As a result, 7-8 times the higher physical gate oxide layer is achieved compared to SiO2, which has a significant impact on minimizing the gate leakage current.

C62

14:45-15:00

A Six-Way Power Divider For Dual-Band Applications Authors: Mohamed A. Koura, Ayman S. Al-Zayed, Mahdi M. Chehimi Presenter: Ayman S. Al-Zayed, Electrical Engineering Department, Kuwait University, Kuwait Abstract: In this paper, a dual-band power divider is designed to equally split the input power between six output ports. The dual-band feature is implemented using pi-shaped dual-band impedance transformers. Instead of the stubs usually used in such transformers, impedance buffers are used to avoid impractical line widths. A prototype operating at 0.9/1.4 GHz is fabricated, and its simulation and measurements

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results are presented. The measured output power levels of the prototype at each band are within 0.75 dB from their theoretical values, and good input matching (<-18 dB) is observed at both bands.

C34

15:00-15:15

Error Bounds of Perturbation Analysis for the Dominant Mode of Rectangular Corrugated waveguide Authors: Mohammed Hussein Bataineh, and Issa Waleed AL-Hmoud Presenter: Mohammed Hussein Bataineh, Yarmouk University, Jordan Abstract: An error bound on the expansion of multiple scales method is deduced. The filtering properties of a periodically corrugated rectangular metallic waveguide are considered as an example to clarify this. The paper asses the spectral response of the filter using two independent software packages. Their results will be compared with the perturbation method of multiple scales expanded up to the second order.

C132

15:15-15:30

Ultrasonic Scanning System for Cartography Applications Authors: Lorant Szolga Presenter: Lorant Szolga, Technical University of Cluj-Napoca, Romania Abstract: This work presents the design and the development of an ultrasonic scanning system to be used in hard accessible areas as pipelines. It focuses on the distribution of the ultrasonic sensors, data reading, and graph plotting. The system is developed around seven HC-SR04 ultrasonic sensors, a servomotor, a Bluetooth adapter, and an SD card adapter. An Arduino Mega development board controls all these components. First-time, the circuit functionality was tested on a breadboard. The final system was implemented on a custom PCB. Scannings of round and square shape objects were conducted, which reveals the scanning capability of the system and the resolution of the sensor distribution as a critical factor.

C18

15:30-15:45

Straight Conducting Thin Wire Detection Using Stripmap SAR Authors: Seyfettin Yavuz, Tankut Oguz Topbas, Erman Anadol, Mesut Kartal Presenter: Seyfettin Yavuz, Aselsan Inc., Turkey Abstract: Detection of thin wires for different purposes is a frequently studied subject in the literature. It is aimed in this study to investigate the EM behavior of conducting thin wires. The radar cross section (RCS) value of a thin wire varies depending on the angle of incidence and frequency of the electromagnetic wave. Wire targets are considered in this study as cylindrical object, and the monostatic RCS simulation results are obtained depending on the frequency and the angle of incidence of the wave. As a result of these simulations, it has been surprisingly observed that the RCS value increased with the decrease in frequency in case for oblique incidence angle for thin wires, while for normal incidence angles we observed an inverse relationship as expected. High range and cross range resolution are needed for the high detection accuracy and at the same time to distinguish the multiple wires. In this study, to meet these requirements stripmap mode SAR system is established experimentally with high bandwidth signal. Time Domain Back Projection (TDBP) algorithm is applied to the measured SAR raw data and SAR images of wires are obtained. Finally, the frequency dependent detection and ranging accuracy for the thin wires lying on the ground in the target area is observed.

C77

15:45-16:00

Temperature Distribution Analysis of Lithium-Ion Polymer Battery Surface Authors: R. Murali, Z. M. Razlan, S. A. Bakar, Kadhim H. Suffer, Z. Ibrahim, W. K. Wan, Rudzuan M. N., M. F. H. Rani Presenter: Zuradzman Mohamad Razlan, Universiti Malaysia Perlis, Malaysia

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Abstract: The main objective of this study is to investigate the heat load generated by the Lithium-ion (Li-ion) battery during the completion of the cycle. Besides that, the objective is also to identify the most affected surface of the Li-ion battery towards the temperature during the charging and discharging process. An experiment is carried out for five different conditions of battery to obtain the data for heat load calculation purposes. The five conditions are differences in discharge ampere. From the result obtained there are differences in heat load generated by the battery during the charging and discharging process for every condition. Furthermore, the greater the discharge ampere, the lower the time taken for the battery to discharge and the higher the heat load generated by the battery. Besides that, an experiment to investigate the temperature distribution along the experiment is also carried out. Four surfaces of battery (front, right, left, back in vertical position of battery) are put into concern in obtaining the temperature distribution. Every surface gives a different temperature distribution during the experiment. Surface 4 recorded the highest average temperature distribution. Thus, the cooling system will consider the cooling capacity at this surface.

C64

16:00-16:15

Vehicle Auto Parking System Authors: Adnan Al-Smadi, Mofeed Msallam Presenter: Adnan Al-Smadi, Yarmouk University, Jordan Abstract: As the number of cars are increasing on roads, it becomes difficult to find a parking space. People drive around for half an hour or more to avoid facing this challenge. Automatic car parking is an autonomous car maneuvering system that takes the car from a traffic lane to a parking space. To provide more simplicity into people’s lives, this paper will develop a system that enables car to park itself in parallel way. The system uses ultrasound sensors and Arduino microcontroller to detect the parking place automatically, then moves the car to park in the accurate position. The system uses a four-wheel drive miniature vehicle to simulate the mechanism of a real car. This system becomes necessary for an inexperienced driver, especially in a narrow parking space without damaging his/her car or other cars nearby. In addition, disabled drivers can benefit from this technology. A prototype parking system that can perform parallel parking maneuvers autonomously has been implemented and tested. It performs as expected.

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Session 2: Power Systems and Energy Time: 13:30-16:15, March 30, 2022, Turkey Time, GMT+3 Onsite Meeting Room: Phaselis-1, Floor: Lobby Session Chair: Assoc. Prof. Mostafa F. Shaaban, American University of Sharjah, UAE Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

C87

13:30-13:45

A New ANN-based Cleaning Approach for Photovoltaic Solar Panels Authors: Mohamed Mokhtar, Mostafa F. Shaaban Presenter: Mostafa F. Shaaban, American University of Sharjah, UAE Abstract: Among the challenges facing solar photovoltaic (PV) systems in the United Arab Emirates (UAE), dust accumulation on solar panels is considered the most severe problem that faces the growth of solar power plants. The accumulation of dust on the solar panels significantly degrades output from these panels. Hence, solar PV panels have to be cleaned manually or using costly automated cleaning methods. This paper focuses on reducing the maintenance costs by initiating cleaning actions when the dust level exceeds a threshold value. The amount of dust accumulated on the PV panels is estimated using an Artificial Neural Network (ANN). Experiments are conducted to collect the required data which are used in training the ANN model. Then, this ANN model will be fed by the output power from solar panels, ambient temperature, and solar irradiance and thus, it will be able to estimate the amount of dust accumulated on solar panels at these conditions. A sample case study shows that the proposed approach can schedule the cleaning actions to reduce the energy loss due to dust by 60% while saving 80% of the maintenance cost compared to daily cleaning.

C05

13:45-14:00

Robust energy scheduling for smart buildings considering uncertainty in PV generation Authors: Zahra Foroozandeh, Ines Tavares, João Soares, Sérgio Ramos, Zita Vale Presenter: Zahra Foroozandeh, Polytechnic of Porto, Portugal Abstract: The fast growth of renewable energy sources in the residential building led to a complex problem related to the energy management system: the uncertainty associated with the forecast of photovoltaic power generation. To solve this challenge, this paper proposes a robust optimization model to obtain the optimal solution for the worst-case scenario of photovoltaic generation. A Mixed Binary Linear Programming problem is transformed into a trackable robust counterpart to provide immunity against the worst-case realization. Through the budget of uncertainty, the risk of the solution can be adjusted. The results demonstrate that the influence of Battery Energy Storage System and Electric Vehicles against uncertainties leads to higher economic gains up to 6% reduction.

C47

14:00-14:15

Performance Study of Existing Electrical Network Connected by Large Scale Photovoltaic System Authors: Ahmed Abdalla S Malouq and Omar Giuma Mrehel Presenter: Ahmed Abdalla S Malouq, Mellitah Oil&Gas Company, Libya Abstract: Connecting a large scale Photovoltaic solar system to the existing electrical network to supply electricity demand at customer area is a very important issue, because of the advantages of these type of energy resources, but the location and the sizing or the penetration level of these solar power system will affect mainly on the performance of the existing network, therefore, The primary objective of this paper is to investigate the effects of connecting a Photovoltaic solar power plant to Zliten local grid, through simulation of the system in NEPLAN and ETAP software. The paper will

22


determine the best location of the PV system in which the best performance of the network will be achieved, taking into account the voltage level, line loading, network Losses, short circuit level, voltage stability, as well as harmonic analysis. And facilitate the increase of penetration levels of PV systems in the electric network. This can be achieved by quantifying and analyzing the impacts of installing large grid-connected photovoltaic systems on the performance of the electric network accurately.

C124

14:15-14:30

Modelling of a distribution network with a hybrid solar-hydro plant in rural Cameroon Authors: Contimi Kenfack M., Sebastian Klick Presenter: Contimi Kenfack, RWTH Aachen University, Germany Abstract: In the rural and remote areas of Cameroon, the access to electricity is very limited, since most of the population is not connected to the main utility grid. Throughout the country, efforts are underway to not only expand the utility grid to these regions but also to provide reliable off-grid access to electricity. The Cameroonian company Solahydrowatt is currently working on the design and planning of one of the very first hybrid solar-hydropower plants of Cameroon in Fotetsa, in the western region of the country to provide the population with reliable access to electricity. This paper models and proposes a design for the low-voltage network with a hybrid solar-hydropower plant in Fotetsa. The modelling takes into consideration the voltage compliance of the distribution network, the maximum load of operating equipment and most importantly the ability for the network to operate as an off-grid system. The resulting modelled distribution network does not only comply with the Cameroonian voltage deviation standard, but it is also capable to be operated as a stand-alone network independent of the main utility grid

C56

14:30-14:45

Optimal Location of Normally Closed Switches in Medium Voltage Distribution Networks Authors: Bruno Canizes, João Soares, Sérgio Ramos, Juliana Chavez, Zahra Forouzandeh, Zita Vale Presenter: João Soares, Polytechnic of Porto, Portugal Abstract: This research paper presents a deterministic optimization technique for the optimal location of normally closed switches on a realistic medium voltage distribution network located in Portugal. The goal is to minimize the expected outage costs to consumers in conjunction with normally closed switches capital investment, installation, and annual operation and maintenance costs, improving at the same time the level of reliability and service quality of distribution networks. The optimization approach is developed as mixed-integer linear programming using CPLEX solver in the TOMLAB optimization tool. The global solution obtained was successfully tested and validated with real data of the above-mentioned Portuguese network. The presented results indicate the accuracy and efficiency of the proposed method.

C134

14:45-15:00

FE Modeling and Performance Analysis of a Coreless Axial-Flux Permanent Authors: Tareq S. El-Hasan Presenter: Tareq El-Hasan, Zarqa University, Jordan Abstract: This paper presents the utilization of 3D Finite Element (FE) modelling to perform electromagnetic analysis of the coreless Axial Flux Permanent Magnet Generator AFPMG. The steady state performance of the AFPMG is predicted based on a magneto-static analysis. The magnetic flux and air gap flux density distribution are obtained from the FE model where initial results are validated by experimental setup. A custom macro is developed to extract the induced voltages and the harmonics contents in the output waveform of the generator. Finally the FE no-load

23


and load performance results are obtained and compared with experimental test results.

C112

15:00-15:15

On the Utilization of Double-D Quadrature Coils in Dynamic Wireless Electric Vehicle Charging Systems Authors: Tala Al-Abweh, Eiman Elghanam, Mohamed Hassan and Ahmed Osman Presenter: Ahmed Osman, American University of Sharjah, United Arab Emirates Abstract: With the increasing interest in electrified transportation systems, dynamic wireless EV charging (DWC) systems offer several advantages over static charging as they eliminate EV charging downtime and offer on-the-move EV charging services. Nevertheless, the inherent misalignments during the vehicle’s motion impact the coupling performance of the wireless inductive link and reduce the power received by the EV from wireless charging. Several coil design enhancements can be adopted to improve the misalignment tolerance of DWC systems. In this work, the addition of a quadrature component on the secondary charging pad is investigated and the performance of the resulting double-D quadrature coil is evaluated against that of a stand alone DD coil. Simulations reveal an improvement in the misalignment tolerance range when the quadrature coil is utilized, as long as the current flow direction is matched between the secondary Q coil and the coupled rectangular portion of the primary DD coil. This needs to be further enhanced through the design of power and current control loops, as well as optimization of quadrature coil design and placement, for improved misalignment performance.

C105

15:15-15:30

Steady state analysis and voltage regulation of a hybrid boost converter for nanogrid applications Authors: Zidani Youssef, Boulmane Asma, BENSAOUD Othman, BOUCHOUIRBAT Marouane Presenter: Youssef Zidani, Cadi Ayyad University, Morocco Abstract: This paper proposes a hybrid converter topology that can supply simultaneous dc and ac loads from a single dc input. Such multi-output converters with better power processing density and reliability can be well suited for systems with simultaneous dc and ac loads, as nano-grids in residential applications. The proposed converter is called a boost-derived hybrid converter (BDHC) as it is obtained from the conventional boost topology. A suitable pulse width modulation (PWM) control strategy, based upon unipolar sine-PWM, is used and described. A PID controller is designed to generate the pulses to regulate the dc as well as ac outputs voltage for different load conditions. Simulation results are presented and discussed to validate the proposed technique and investigations.

C90

15:30-15:45

Design optimization of exhaust manifold’s divergence characteristics in enhancing high-end power in 115cc SI engine Authors: Rishan Murali, Shahriman Abu Bakar, Zuradzman Wan Ahmad, Azizul Aziz Ishak, Ika Syahira Abdullah, Mohd Afendi Rojan, Zunaidi Ibrahim, Muhd Syazwan Mansor Presenter: Assoc Prof Ir Ts Dr Shahriman Abu Bakar, Universiti Malaysia Perlis, Malaysia Abstract: The exhaust system especially the exhaust manifold is an essential component that affects the performance of the Spark Ignition (SI) engine. The critical factor inside the exhaust system that affects the engine’s performance is backpressure. Backpressure is known as the difference between maximum pressure in the exhaust system and atmospheric pressure. Based on previous studies, it was found that an un-optimal exhaust manifold’s design leads to higher

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backpressure that reduces the performance and the fuel efficiency of the SI engine. This research aimed at enhancing the high-end power of the 115cc SI engine by optimizing the exhaust manifold’s divergence characteristics through 1D engine analysis. S/N ratio analysis was used through Taguchi’s method as a tool to conduct the design optimization. From the analysis, it was found that the optimal exhaust manifold’s divergence configuration improved the mean brake power by 4.67% at high-end engine speed. It is expected that the optimal exhaust manifold’s divergence configuration could also improve the engine’s brake torque and fuel efficiency which could directly reduce the carbon footprint to the environment.

C88

15:45-16:00

Dempster Shafer Evidence Theory Application for Fault Diagnosis of Power Transformers Authors: Merve Demirci, Mustafa Saka, Haluk Gozde, Mahir Dursun, M. Cengiz Taplamacioglu Presenter: M. Cengiz TAPLAMACIOGLU, Gazi University, Turkey Abstract: In this paper, advance diagnosis in power transformers, which is one of the most equipment of power systems. Real gas data from Dissolve Gas Analysis has been used for fault diagnosis. Multi-Layer Perceptron Neural Network, Support Vector Machine and Naive Bayes classifiers are used for fault diagnosis. The data set is included in a preprocessing step for the operation of statistical learning algorithms and also has been used as a training and test data set for classification algorithms. The results from the classifiers are compared. Then, the classifier results are combined with Dempster Shafer Evidence Theory, one of the most effective Data Fusion techniques. For this, mass functions for Data Fusion are obtained from the outputs of the classifiers, and the fusion process is performed using the Dempster Shafer Combination Rule. It is seen that the fusion method has better diagnostic accuracy compared to individual classifiers.

C04

16:00-16:15

Sharing PV generation in apartment buildings considering centralized energy storage system Authors: Sérgio Ramos, Zahra Foroozandeh, João Soares, António Gomes Presenter: Sérgio Ramos, Polytechnic of Porto, Portugal Abstract: Recent legislation enables electricity consumers in multi-apartment buildings to use electricity generated by their neighbors’ solar photovoltaic (PV) panels. The association of several residents with PV production (prosumers) is also allowed, increasing the value of the total installed production capacity, also increasing the scale factor of prosumers. This work explores shared self-consumption in a multi-apartment building, and based on real electricity production and consumption data, an optimization model based on Mixed Integer Linear programming (MILP) was implemented. The main goal was to minimize the electricity consumption costs from the external electrical network of each apartment, maximizing the benefits of nonproduction consumers in joining the self-consumption program, and maximizing the profits of prosumers. A sensitive analysis of total cost and prosumer/consumer benefit was evaluated. The obtained results show that prosumers and consumers can both have interesting financial benefits for participating in shared PV generation programs.

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Session 3: Communication and Information Technology Time: 16:30-19:00, March 30, 2022, Turkey Time, GMT+3 Onsite Meeting Room: Phaselis-5, Floor: Lobby Session Chair: Prof. Raed Mesleh, German Jordanian University, Amman, Jordan Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

C02

16:30-16:45

Nakagami-m MIMO Channel Authors: Raed Mesleh, Osamah Badarneh and Abdelhamid Younis Presenter: Raed Mesleh, German Jordanian University, Jordan Abstract: Nakagami-m is a widely adopted generalized channel model as it fits closely to the majority of measured fading radio channels. As well, the mathematical model for Nakagami- m is more analytically tractable than other well-known fading channels, which attracted considerable interest among the research community. Original channel model was proposed mainly for single–input single–output (SISO) systems, where the envelope follows the Nakagami distribution while the phase is assumed to be uniformly distributed. However, such model is shown previously to be inaccurate for multiple–input multiple– output (MIMO) systems accomplishing multiplexing gains such as spatial multiplexing (SMX) and space modulation techniques (SMTs). As such, a different Nakagami-m MIMO channel model was suggested and shown to correctly models the behavior of the channel parameters under different conditions. Yet, it is revealed in this study that the previously advised model is imprecise as the phase distribution was not accurately modeled. As well, the previous model was only realizable for integer values of the Nakagami m parameter. Thereby, an altered accurate model is suggested and thoroughly analyzed in this article. Also, the new model is shown to be applicable for arbitrary values of m (i.e., not necessarily integers or half integers). The paper also presents the modified conditions under which the analytical formulation is correct as compared to Monte-Carlo Simulation. For illustration purposes, space shift keying (SSK), quadrature spatial modulation (QSM) and SMX MIMO systems are considered in this study.

C130

16:45-17:00

Performance Investigation of Immune Plasma Algorithm on Solving Wireless Sensor Deployment Problem Authors: Adnan Taşdemir, Sercan Demirci, Selçuk Aslan Presenter: Adnan Taşdemir, Ondokuz Mayıs University, Turkey Abstract: Sensor node deployment is very crucial for wireless sensor networks (WSNs). Sensors’ coverage plays an integral role in all types of applications that utilize WSNs. In addition to maximizing the life of the network and consuming less energy, the better positioning of the sensors makes the sensors more effective and efficient. A meta-heuristic algorithm will be used to determine where wireless sensors should be placed to maximize the coverage of the area where they are deployed. As a part of our solution, we will utilize the Immune Plasma Algorithm (IPA), which transfers plasma or the antibody-rich part of the blood from one patient to another through a process of bypassing the immune system. This optimization algorithm will be used to determine the optimal solution to the maximum coverage problem. The results of the simulation will be compared with solutions found by one research using Artificial Bee Colony (ABC), an algorithm that models the foraging behavior of bees.

C106

17:00-17:15

Cybersecurity Risk Assessment Approach for Malaysian Organizations: Malaysian Universities as Case Study Authors: Abdulaziz Aborujilah Presenter: Abdulaziz Aborujilah, Malaysian Institute of Information Technology, Malaysia

26


Abstract: Malaysian organizations are following different methods for cybersecurity risk assessment such Control Objectives for Information and Related Technologies (COBIT) and International Organization for Standardization (ISO) 27001. The higher education institutions in Malaysia are facing same difficulties as different standards and approaches are used to evaluate cybersecurity risk of their institutions. So, there is a lack of cybersecurity risk assessment approach that take Malaysian and international standards in consideration. This paper aims to develop cybersecurity risk assessment approach for higher education institutions in Malaysia. The methodology of conduction this research is qualitative research using case study. The framework has considered international cybersecurity standards such as Holistic cybersecurity maturity assessment framework (HCYMAF) and local cybersecurity standards such as National Cyber Security Agency (NACSA) and the Malaysia Cyber Security Strategy (MCSS). In addition, a measurable instrument to assess cybersecurity risk has been proposed. The subject-matter expert can apply this approach to assess their organization's cybersecurity maturity and risk. The findings of this study shall be useful in overcoming the drawbacks of employing non-standard procedures in such evaluations, resulting in more accurate and reliable evaluation outcomes.

C113

17:15-17:30

A PDE-based Stochastic Model for the Amount of Data Transmitted over Multi-State Wireless Channels Authors: Yousuf Aborahama, Mohamed S. Hassan, Mahmoud H. Ismail Presenter: Mohamed S. Hassan, American University of Sharjah Sharjah, UAE Abstract: Efficient characterization of the behavior of wireless channels is critical to the performance of any time-sensitive wireless application requiring a minimum quality of experience (QoE) such as video streaming applications. Hence, in this study, an analytical expression for the distribution of the total amount of data that can be transmitted over a multi-state wireless channel is derived. This is done by characterizing the channel behavior using a system of partial differential equations (PDEs). The proposed system of PDEs is then used to obtain the distribution of the total amount of data that can be transmitted through the underlying wireless channel. The solution is presented analytically for different situations where the channel could initially be at the steady state or at any arbitrary initial state. Moreover, using Monte-Carlo simulations, a comparative study is carried out to verify the accuracy of the resulting distributions.

C118

17:30-17:45

Planning and Allocation of Dynamic Wireless Charging Infrastructure for Electric Vehicles Authors: Yazan Odeh, Issa Elkahlout, Parinaz Naeimi, Eiman Elghanam, Mohamed Hassan and Ahmed Osman Presenter: Ahmed Osman, American University of Sharjah, UAE Abstract: With the growing interest in green and environmentfriendly transportation systems, Electric vehicles (EV) are gaining an increasing popularity. Nevertheless, the high deployment costs of EV charging systems along with the currently low, but increasing, penetration of EVs both slow down the investments in EV charging infrastructure. This raises concerns of range anxiety for current and prospective EV owners, for fear of running out of charge without completing their journeys or reaching a nearby charging point. Accordingly, dynamic wireless charging (DWC) solutions are introduced to enable charging EVs on the move, thereby reducing range anxiety and eliminating charging downtime. Due to their high implementation and operation costs, optimal planning of DWC infrastructure is essential to determine the most suitable locations for allocating the charging lanes. In this paper, an optimal allocation process is presented for planning the locations of DWC lanes within the city of Dubai, UAE.

27


First, data on traffic congestion levels is collected through Google Traffic application programming interface (API) to choose a set of candidate locations for deploying the DWC lanes. An energy analysis is then conducted on the selected 19 candidates to provide recommendations on the most energy-efficient subset of locations for the deployment of DWC lanes, acknowledging the number of hours in congestion and average traveling speed at each location.

C32

17:45-18:00

Clustering-aided Framework Assessment of Requirement Engineering Approaches Applied to Software Product Lines Authors: Naoufel Kraiem and Oualid Ali Presenter: Naoufel Kraiem, Riadi Lab, Tunisia Abstract: Requirements engineering (RE) is recognized as a critical stage in software development lifecycle. The cost of fixing a requirements flaw later in the development stage is much higher than the cost of identifying and fixing it in the early stages of development. In order to do this the system requirements must be properly identified, analyzed and reviewed early in the development process. Given the nature of Software Product Lines (SPLs), the importance of requirements engineering is more renounced as SPLs pose more complex challenges than development of a ‘single’ product. Several approaches have been proposed in the literature, which encompass activities for capturing requirements, their variability and commonality.

C51

18:00-18:15

IoT Enabled Geofencing-based System for Monitoring and Enforcing COVID-19 Control Measures in Workplaces, Service Areas and Distributed Home Quarantine Authors: Ahmed M. Abd El-Haleem, Abdullah I. Salama, M. G. Anany, Mostafa M. Abdelhakam, Gamal A. Khalaf and Mahmoud M. Elmesalawy Presenter: Ahmed Mostafa Abdelhaleem, Helwan University, Egypt Abstract: Due to the outbreak of COVID-19, the whole world is thinking of new mechanisms, preventive measures to protect human life from the widespread of the pandemic. Many countries imposed COVID-19 control measures to limit further infection spread. However, controlling the spread of COVID-19 without taking severe measures (e.g. lockdown and full quarantine) that have undesirable economic effects becomes a major challenge. By exploiting the modern and available information and communication technologies, innovative solutions may emerge to face and deal with this crisis. In this paper, an innovative and flexible solution based on the exploitation and integration of geofencing, and Internet of Things (IoT) technologies is proposed to enhance the crisis management framework in response to the COVID-19 pandemic. The proposed solution is designed to monitor and impose COVID-19 control measures in different environments such as distributed home quarantine, workplaces, service areas, and COVID-19 infected zones.

C03

18:15-18:30

An Approach for Recognizing Two-Human Interactions using Channel State Information Authors: Rami Alazrai, Ali Awad, Mostafa Z. Ali, and Mohammad I. Daoud Presenter: Rami Alazrai, German Jordanian University, Jordan Abstract: A new channel state information (CSI)-based approach for recognizing two-human interactions, which are activities that involve two humans, is presented in this paper. The proposed approach consists of three phases. Specifically, in the first phase, we utilize the principle component analysis transformation to reduce the dimensionality of the CSI data and produce a set of principal components that can explain the variance within the CSI data. In the second phase, we extract 17 time- and

28


frequency-domain features from the computed principal components obtained from the first phase. Furthermore, the minimum redundancy maximum relevance algorithm is applied to select a subset of the extracted features. Finally, in the third phase, we use the selected features to build a set of support vector machine classifiers to recognize the performed two-human interactions. A publicly available CSI dataset, which includes CSI signals that were acquired from 40 pairs of subjects while executing 13 two-human interactions, was used to assess the performance of our proposed approach. The average accuracy achieved by our proposed approach was 86.21%. Moreover, the reported results illustrate the efficacy of our proposed approach to accurately recognize various two-human interactions.

C1101

18:30-18:45

Runtime Trojan Detection using Step-Based Reverse Redundancy Function Algorithm Sa'ed Abed, Bassam J Mohd, Thaier Hayajneh, Mohammad H. Alshayeji Presenter: Sa'ed Abed, Kuwait University, Kuwait Abstract: Lightweight ciphers are built to encrypt data in particular for resource-constrained devices (RCDs). Hardware Trojans (HTs) are integrated in lightweight chippers building designs to leak sensitive data. Runtime monitoring techniques effectively detects HTs, however, require significant resources (area, power and energy). Recently, runtime monitoring algorithm based on reverse-function redundancy (RFR) was proposed. RFR minimizes energy and power but requires significant area resources to implement critical nodes’ monitors. The objective of this research is to develop a simplified runtime monitoring algorithm with minimal area resources, power and energy. The algorithm uses step-based reverse function redundancy (SRFR), facilitates design-for-trust and is targeted for lightweight ciphers in RCDs. Initially, several optimization techniques were examined and then incorporated in the proposed algorithm. Implementation results show that area resources were significantly reduced by 60%. Compared with RFR, SRFR algorithm decreases the power by 5% and the energy by %8.

C37

18:45-19:00

Microwave Imaging of Breast Cancer: Analysis of SAR and Electric Field using Flexible antennas with Breast Phantom Authors: Maryam Liaqat, Jehan Akbar, Ali Raza Presenter: Maryam Liaqat, University of Okara, Pakistan Abstract: Abstract— Gold standard technique for breast cancer diagnosis is X-rays Mammography but due to false positive and negative results especially at early stages doubted that it’s a potential tool or not. Underdeveloped technique for early detection for dense breasts which is equally feasible for all age groups is Microwave Imaging (MWI). MWI works on basis of dielectric properties of cancerous breast tissues which 100’s of times greater as compare to healthy breast tissues. The principle of reconstruction of image using inverse scattering radiation from spatial distribution of dielectric properties of breast tissues. In present working, split microwave antennas (2.3x4.3x0.0508 cm3) are designed and analyzed using simulation for tumor of 210mm size embedded in inhomogeneous breast. The phantom has the dielectric properties of normal tissues of breast and malignant tumor. The suitable frequency range for breast cancer imaging is 2-4 GHz due to penetration. The analyzed properties for electric field is less for cancerous tissues than the normal breast tissues which is 133 V/m with 10mm tumor and for 2mm is 88.35 V/m whereas for normal tissues its 177 V/m reported in literature. The electric field is directly related to the specific absorption rate (SAR) of radiations.

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Session 4: Computer and Computer Vision Time: 16:30-18:45, March 30, 2022, Turkey Time, GMT+3 Onsite Meeting Room: Phaselis-1, Floor: Lobby Session Chair: Prof. Sérgio Ramos, Polytechnic of Porto, Portugal Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

C137

16:30-16:45

Computer Vision Application on Controlling and Modeling the Food Drying Process: A Case Study for Radish (Raphanus Sativus) Authors: Semih Ozden Presenter: Semih Ozden, National Defence University, Turkey Abstract: The data (color, texture, shape, pattern) obtained from photos taken with cameras have been used in all phases from production until they get through to end-user. Food processing techniques used in quality control phase in food sector have provided improvements and speed for these phases. The main object of this study is to analyze controlling the drying process with computer vision used in keeping and storing food and both manage the quality control phase and determine to finalize drying phase unsupervised in terms of color and texture by using the image. Another object of the study is to show that the performance and quality of drying process and other parameters under different conditions (heat source, moisture, temperature etc.) can be observable by using image analyses. In accordance with these objects, food drying process with three different heat sources has been analyzed, food pictures have been taken with RGB cameras during drying process and the results have been modeled with a linear mathematical equality. According to the modeling results, the lowest error in training data and test data have been obtained with resistance drying (1.3493 MAE and 1.8446 RMSE) and infrared (6.3375 MAE and 7.0520 RMSE), successively. It has been seen that the resistance values have almost produced the best results in terms of R2 values. These error values staying between the acceptable limits while using the simple modeling can obtain more accurate results when they are used with improved modeling techniques by increasing the data number. This situation has shown that the drying process can be controlled with computer vision.

C1410

16:45-17:00

Do Autistic and Normal Developing Children Behave Differently When They are Presented with Sad Face Emotion Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar Presenter: Mohamed Basel Almourad, Zayed University, UAE Abstract: This paper compares the visual behavior of normal developing children and autistic children when both groups are presented with human emotion of sad face. We used eye tracking system to capture and tracks the child’s eye gaze movements as they watch a short video of a human’s dynamic facial expression evolving from static emotion to sad emotion. With the human face, we have created three areas of interests. Our data analysis focused on where specifically in the stimulus the child was looking at, with a significant difference was found between the two groups. The study also reveals that most autistic participants express little interest in the eyes and mouth of a sad facial expression compared to normal developing children, evident by the time spent on off-facial area.

C1409

17:00-17:15

High Performance Network for Detection of Surface Defects on Hot-Rolled Steel Strips Based on an Optimized Yolo V3 Stephen Ikechukwu, Erhan Akin Presenter: Stephen Ikechukwu, Fırat Unıversity, Turkey Abstract: In the hot rolled steel industry, surface defects are a major problem and

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various hot rolled steel manufacturers are struggling to find cost effective and efficient ways to solve this problem. However, low accuracy, minimal ease of automation, slow detection speed, and limited robustness are still serious problems. For this purpose, this paper proposes a YOLO v3-based algorithm for detecting surface defects on hot-rolled steel strips. One, 4 residual layers (res_units) are formed by applying neural convolutions, batch normalization (BN) and leaky RELU activation to eliminate gradient vanishing and maximize feature extraction and learning ability of the network. Second, a 4-scale feature map operation is used to improve the detection operation, increasing the grid size of the image features obtained from the previous operation to improve detection. The 4 scale detection is used in this study for accurate and stable detection of the surface defects as they are not fixed size targets. Finally, the 3-scale upsampling layer is used, where the spatial resolution of the image is increased before scaling, followed by a concatenation operation that concatenates outputs of the current layer with the previous layer. Both quantitative and qualitative experimental results show that the optimized YOLO v3 model proposed in this paper in terms of mean average precision (mAP) in detecting flaws on hot rolled steel surfaces with a mAP of 100% and a recall of 95% performs better more accurately than the original YOLO v3 network, Faster RCNN and Xception network. The experimental results of the YOLO v3 model proposed in this paper show an optimal and balanced performance, suitable for use as a qualified network that meets the industrial needs of the hot rolled steel strip industry.

C84

17:15-17:30

I&I Based An Adaptive MPC Approach for An Uncertain Underwater Vehicle Model Authors: Harun Topbas, Yapral Yalcin Presenter: Harun Topbas, Istanbul Technical University, Turkey Abstract: This paper considers adaptive model predictive control of an underwater vehicle with an uncertain discrete-time model that contains a singular regressor matrix complicating to estimate uncertain parameters online. As the first, immersion and invariance-based estimator is designed via a state augmentation approach to remove the singularity of the regressor matrix, and stability of the estimator is investigated. Then, using the information coming from the designed estimator, an adaptive linear model predictive control is established for reference trajectory tracking considering some hard and soft constraints. The performance of the proposed estimator and adaptive model predictive control is presented by simulation results.

C24

17:30-17:45

Development of Prosthetic Robotic Arm with Patient Monitoring System for Disabled Children; Preliminary Results Authors: Devin Babu, Abdul Nasir, Mohannad Farag, M.H Muhammad Sidik, Sujana Bin Mohd Rejab Presenter: ABDUL NASIR BIN ABD GHAFAR Abstract: This paper describes the development of a prosthetic robotic arm with a patient monitoring system for disabled children. A prosthetic robotic arm helps disabled people increase their movement, manage their everyday activities, and maintain independence. Prosthetic arms currently on the market are prohibitively expensive for the financially disadvantaged and less user-friendly. This work aims to develop a low-cost, three dimensional (3D) prosthetic robotic hand that focuses on children. The prosthetic robotic arm was built using a compact microcontroller (ESP32). Every time the user desires to grasp and pick an object, the force sensor receives a signal of muscle flex activity. Besides that, the proposed robotic arm is equipped with a patient monitoring system consisting of a heartbeat tracker that measures the user's pulse, heartbeat, temperature, and location via a global positioning system (GPS). The prosthetic robotic hand lifted objects consisting of the cylindrical bottle up to 1 kg of weight, rectangular bottle up to 500 ml, and square

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bottle up to 300 ml. The patient monitoring system shows the temperature of 32.87 Celsius (С) and the user's pulse of 71 beats per minute (bpm) in the monitoring GUI.

C97

17:45-18:00

NLP DRIVEN ADAPTIVE VIDEO PLAYBACK RATE ADJUSTMENT Authors: Alpay Furkan Ozbey, Ali Murat Demirtas Presenter: Alpay Furkan Ozbey, TOBB University, Turkey Abstract: This paper suggests the first method to adjust video playback rate actively according to the importance of the scenes using Natural Language Processing (NLP). For this purpose, the relationship between scene information and required playback time has been formalized. We propose a data set that consists of several YouTube videos from different categories. Our learning powered model mainly relies on some statistical extractive summarization techniques and various additional features such as context-specific important words. Furthermore, we have incorporated our model with a success-proven summarization model and studied its impact on the results. Lastly, we show subjective ratings for the proposed approach, which drastically reduces the required watching time without loss of any information.

C23

18:00-18:15

Implementing Learning Management System Integrated Blended Learning in the Teacher Education Programme of Bangladesh Open University Authors: Md. Meraz Ahmed, Harshita Aini Haroon and Fatimah Tambi Presenter: Md. Meraz Ahmed, Bangladesh Open University, Bangladesh Abstract: The purpose of the study was to present an action plan for implementing Learning Management System (LMS) integrated Blended Learning (BL) for the teacher education programme of Bangladesh Open University (BOU). To that aim, a plan, which are intended for the university’s Bachelor of Education (B.Ed.) programme, is proposed based on ADDIE model, personal observation, and a study of secondary resources, particularly, literature review and two case studies referenced from Ukraine and Vietnam. Strategic approaches to overcome weaknesses and to manage threats based on a SWOT analysis are suggested to ensure the successful implementation of the action plan.

C33

18:15-18:30

Experimenting with Polymorphic Design Aids to support Innovation in Participatory Ideation Authors: Muhammad Mustafa Hassan Presenter: Muhammad Mustafa Hassan, University of Eastern Finland, Pakistan Abstract: The importance of creativity support tools for novice designers has long been recognized in human computer interaction community. However, little work is found in the particular context of innovative systems and participatory innovation. The creativity support needs of end-user designers in an innovation ideation context are atypical and multi-fold, including—but not limited to—supplementation of 1) domain knowledge, 2) design knowledge, 3) feasibility and scope knowledge, and 4) divergence triggers. Classically, one design aid serves only a few aspects due to inherent constraints, leaving other requirements unfulfilled. Based on our findings, we recommend that facilitators shall design polymorphic (multi-part) design aids when working in PIN/PD contexts. Each part shall serve a few purposes, for example, help in discovering target domain, stimulate divergent thinking, provide feasibility and domain boundaries, etc. Though, clear part boundaries are not necessary, and one purpose may be facilitated by several parts.

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C1405

18:30-18:45

An Effective Hybrid Stochastic Gradient Descent Arabic Sentiment Analysis with Partial-Order Microwords and Piecewise Differentation Fawaz S. Al-Anzi Presenter: Fawaz S. Al-Anzi, Kuwait University, Kuwait Abstract: Instagram, Facebook, and Twitter, among other online plat-forms, have become an inescapable part of our daily lives. These social media platforms are capable of exchanging news, photo-graphs, and other contents. The sentiment analysis on these online data has risen in popularity recently, particularly in Ara-bic. Unusual language, which differs from the typical format of the language, distinguishes social networking platforms. As a consequence, efficient methods for assessing the vast number of new word permutations that occur on a regular basis in the digi-tal and online environment are required. This paper presents a sentiment classification model relying on microwords and Sto-chastic Gradient Descent (SGD). Different effectiveness evalua-tion measures are used to estimate the performance of the sug-gested model. The suggested method effectively classifies the veri-fication and testing tweets collection with an accuracy of equal to 88.48 percent, as per the simulation findings.

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Day 3, March 31, 2022, Turkey Time, GMT+3: Online Sessions

Session 5: Power Electronics and Smart Grid Time: 9:30-11:45, March 31, 2022, Turkey Time, GMT+3 Session Chair: Prof. Konstantin Suslov, Irkutsk National Research Technical University, Russia Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

C48

9:30-9:45

Integrated Modeling of the Modes of High Voltage Long Distance Electricity Transmission Lines Authors: Yuri Bulatov, Andrey Kryukov and Konstantin Suslov Presenter: Konstantin Suslov, Irkutsk National Research Technical University, Russia Abstract: This paper develops computer models of ultra-high voltage long-distance electricity transmission lines (LDETL). The models provide an integrated simulation of modes and determine the conditions of electromagnetic safety. We used methods based on phase coordinates and lattice equivalent circuits with a fully connected topology. The simulation was carried out for a 1150 kV LDETL 900 km long, each phase of which was formed by eight 330 mm2 steel reinforced aluminium wires. We used the Fazonord software package. Along with the calculations of the modes of the electric network incorporating the 1150 kV LDETL, we performed determination of the electromagnetic fields created by this line. The results obtained showed a significant asymmetry of the phase currents at full cycles of wire transposition. To maintain a symmetrical mode for such load, phase-wise regulation of reactive power sources is required.

C28

9:45-10:00

Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks Authors: Osman Boyaci, M. Rasoul Narimani, Katherine Davis, Erchin Serpedin Presenter: Osman Boyaci, Texas A&M University, US Abstract: As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks. False data injection attacks (FDIAs), specifically, represent a major class of cyber threats to smart grids by targeting the measurement data's integrity. Although various solutions have been proposed to detect those cyberattacks, the vast majority of the works have ignored the inherent graph structure of the power grid measurements and validated their detectors only for small test systems with less than a few hundred buses. To better exploit the spatial correlations of smart grid measurements, this paper proposes a deep learning model for cyberattack detection in large-scale AC power grids using Chebyshev Graph Convolutional Networks (CGCN). By reducing the complexity of spectral graph filters and making them localized, CGCN provides a fast and efficient convolution operation to model the graph structural smart grid data. We numerically verify that the proposed CGCN based detector surpasses the state-of-the-art model by 7.86% in detection rate and 9.67% in false alarm rate for a large-scale power grid with 2848 buses. It is notable that the proposed approach detects cyberattacks under 4 milliseconds for a 2848-bus system, which makes it a good candidate for real-time detection of cyberattacks in large systems.

C79

10:00-10:15

Techno-economic analysis of Photovoltaic-LiIon Battery for Micro Grid Application: Case Study in Northern Cyprus Authors: Serdar Acikyildiz, Muslum Cengiz Taplamacioglu Presenter: Serdar Acikyildiz, Gazi University, Turkey Abstract: Renewable energy sources cannot provide continuous and stable energy due to their variable output power characteristics, hence the need for energy storage systems. Island grids that are not connected or limited to another grid with high system

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balance and generation power for various reasons, can meet the load demand stably and efficiently with the use of renewable energy and storage systems. The Turkish Republic of Northern Cyprus (TRNC) cannot meet the electricity demand despite its high potential to generate renewable energy. It is an island and has a land connection only with the Greek Cypriot Administration. However, the political relations between the two sides are weak. To find a more efficient, environmentally friendly, and more sustainable solution to TRNC’s electricity demand, this paper examines the use of hybrid solar energy systems. More specifically, the paper analyzes the use of energy storage systems by scaling the electricity production and consumption values of the Serhatköy region. By examining the conjuncture of the TRNC, which operates in micro-grid mode by being disconnected from the main grid, this paper proposes an alternative system as an outcome. The simulation analysis reveals that with this new system the need for the main grid can be reduced cost-effectively while meeting the technical requirements. In addition, there is a direct correlation between the financial income and production rate of solar energy.

C46

10:15-10:30

The Parallel Operation of the Output Three-Phase Inverters in the MicroGrid Authors: Dmitriy Sorokin, Nikolay Kuznetsov, Sergey Volskiy, Yury Skorokhod, Marat Yuldashev and Renat Yuldashev Presenter: Renat Yuldashev, St.Petersburg State University, Russia Abstract: The article concentrates on the parallel operation of output three-phase power inverters in MicroGrid. The MicroGrid for an electric train is considered that contains two output three-phase inverters with a total power 400 kVA. Analytic expressions for determination of a required phase and output voltage amplitude of the three-phase inverters are obtained. The problem related to current rushes appearance when the output three-phase inverter connected to the MicroGrid is shown. For solving this problem, the control algorithm of the output three-phase inverters with the use of two proposed control modes (PLL-mode and Droop-mode) was developed. It is shown that the combination of the developed PLL-mode and Droop-mode allows to exclude the output current rushes and provides an equable output power division between the three-phase inverters al the level of 5%. This article is of interest for power electronics engineers who develop MicroGrid for stand-alone power supply systems with renewable electric power sources, and also for onboard power supply systems of aircrafts, watercrafts and electric trains with the use of several parallel operating output three-phase power inverters.

C61

10:30-10:45

Automated IRDrop ECO Authors: Ang Boon Chong, Cheah Wye Luon, Lee Ching Yee, Ch'ng Pei Chun Presenter: Ang Boon Chong, Intel, Malaysia Abstract: Power Distribution Network (PDN) Analysis is one of the important aspects in design planning. A typical rule of thumb is 20% of the routing resources allocated for power distribution network. However, with the introduction of 2.5D packaging for multi-chip on package, the power budget allocation is yet relax for additional IR Drop in interposer layers, hence a power distribution network engineering change order (ECO) is a function of design implementation flow, to be explored and deployed. This paper will share the in-design power distribution network ECO and results. The seamless in-design power distribution network ECO results in 7% IRDrop improvement compared to out of the box solutions from EDA tools.

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C109

10:45-11:00

Summary of research on optimal allocation of energy storage in distribution network Authors: Shuqi Luo, Chunni Xia, Jiaqi Zhang, Ruihua Xia and Yongqiang Zhu Presenter: Shuqi Luo, North China Electric Power University, China Abstract: When a large amount of renewable energy is incorporated into the distribution network, it is really important for safe and stable operation for distribution network of the reasonable configuration of energy storage system. Firstly, this paper summarizes the characteristics and development status of common energy storage technologies, and then combs the optimal configuration of energy storage system in distribution network, and finally summarizes the research status of energy storage system from the following aspects: location selection, capacity determination and type matching.

C30

11:00-11:15

Analysis of Lightning Impulse Effects on Three Winding Transformer Used in Solar System Based ANSYS Maxwell Authors: Emir Yükselen, Ires Iskender Presenter: Emir Yükselen, Gazi University, Turkey Abstract: Transformers are in more critical applications in the renewable energy world and having a transformer fail in such a cyclical power station can be disastrous. Over voltage or voltage strike is the most important phenomena for the transformers. Thus, the evaluating and estimating the effects and stress of these sudden high voltages is important during the transformers life time operation and design stage. Accordingly in this paper the electromagnetic field analyses of the lightning impulse on Photovoltaic (PV) transformer are investigated using ANSYS Maxwell software. The 3D and 2D model simulation of the PV transformer is carried out to determine the electric field and voltage distribution on critical regions which can cause breakdown on insulation material and damage transformer windings and affects transformer working. Afterwards according to the simulation result, the subjected transformer was designed considering the relative critical regions and performs the full wave lightning impulse test in factory area to verify the dielectric strength of the transformer. This study provides better understanding of the lightning impulse voltage effects with localization of the critical regions on the PV transformer and helps to improve the withstand capability of the transformer against the lightning impulse voltages during the design and production stages.

C81

11:15-11:30

Cyber-Attacks Risk Mitigation on Power System via Artificial Intelligence Technique Authors: Saraa Ismaeel Khalel ,Shaker Mahmood Khudher Presenter: Saraa Ismaeel Khalel, University of mosul, Iraq Abstract: The rapid increase in the reliance on modern communication technologies of electrical grid has a great influence on the achieved improvement in the performance of network. However, a serious threat to the operation of the grid itself has emerged, which is the cyber-attack. To reduce the impact of this kind of attack on the electrical network, a new strategy was presented to provide an effective method to discover the nature of electrical disturbances according to specific criteria. One of the methods of artificial intelligence was used to discover the nature of cybernetic disturbances and distinguish them from other disturbances. The methodology of this method was tested on the IEEE 14-bus test system. Simulation results showed the capabilities of artificial intelligence to reach the target with high accuracy which helps grid operators of control center to better protect power system against threat of cyber-attack.

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C93

11:30-11:45

A Complete Design of Series Resonant Inductive Wireless Power Transfer System for Battery-less Systems

Authors: Anılcan Budak, Hüseyin Meşe and Emre Durna

Presenter: Anılcan Budak, Aselsan, Turkey Abstract: In this study, a complete design of a resonant inductive Wireless Power Transfer (WPT) system for batteryless systems will be presented. The main components of the resonant inductive WPT system are H-bridge inverter, transmitter side coil & compensation capacitor, magnetic core & medium, receiver coil & compensation capacitor and diode rectifier & filter capacitor. In this work, closed loop control mechanism, RF wireless communication, power-up strategy for battery-less receiver side application, loss budget and detailed system description of a series resonant inductive wireless power transfer system will be shown. The design and the proposed methods will be verified with simulations and experimental results.

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Session 6: Graphics and Image Processing Time: 9:30-11:45, March 31, 2022, Turkey Time, GMT+3 Session Chair: Prof. Mudarmeen Munlin, Mahanakorn University of Technology, Thailand Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

C72

9:30-9:45

Time Attendance using FELE Face Identification Algorithms Authors: Mudarmeen Munlin Presenter: Mudarmeen Munlin, Mahanakorn University of Technology, Thailand Abstract: Time attendance system has been used to check-in and check-out of employees in organizations for many years. Biometric technique such as the fingerprint scanner is among the popular and widely used in the past and present. Nowadays, face recognition techniques have been employed to identify the faces such as eigen face, fisher face and local binary patterns histograms (LBPH). These techniques provide acceptable results but may not accurate enough due to a number of false positive cases. Therefore, this paper proposes a better face identification technique to reduce the false positive cases. The method presents the combination of the above three existing algorithms to produce the more accurate result for time attendance by means of the actual experiment. The experiment is carried out using the 30 employees face each with 50 images with a total of 1,500 images as a face database. The testing process contains real faces of 20 employees and 5 non-employees. These faces are tested against the Eigenface, Fisherface, LBPH and the proposed method Fisherface, Eigenface, LBPH Extension (FELE) algorithms. We present and compare the results among these four techniques in term of the false positive, accuracy and precision. It has been shown that the FELE has an accuracy of 100% and outperforms other methods in all categories.

C100

9:45-10:00

CHARACTERIZATION OF MUSCLE FATIGUE IN DIABETIC PATIENTS WITH PERIPHERAL NEUROPATHY Authors: Safi Ullah and Kamran Iqbal Presenter: Safi Ullah, University of Arkansas for Medical Sciences, USA Abstract: Diabetic Peripheral Neuropathy (DPN) is one of the most common complications encountered in type-II diabetic patients. DPN causes motor disability, such as nerve damage and muscle weakness, which leads to an increased risk in falling during performance of activities of daily living (ADL). The extent of muscle weakness can be detected via analysis of surface electromyography (EMG) data. The objective of this study was to investigate if DPN patients were at a higher risk of falling when experiencing muscle fatigue during execution of extraneous tasks. A total of 30 participants (15 DPN patients and 15 healthy subjects) were recruited for this study and EMG data was collected from lower extremity muscles during walking. The sEMG data were analyzed for the detection of transition-to-fatigue phase during gait. The onset of muscle fatigue was detected via spectral feature analysis, i.e., mean and median frequency analysis. Independent t-tests were conducted to assess group differences (p<0.05). Our results indicated that DPN patients demonstrated the onset of muscle fatigue quicker as compared to age and gender matched healthy individuals (p<0.05). These results are expected to improve clinical observations of DPN patients and may contribute towards development of novel fall prevention strategies.

C95

10:00-10:15

Graphical visualization of the connections of involved users and identifying influential spreaders in a social network Authors: Shynar Mussiraliyeva, Gulshat Baispay, Ruslan Ospanov, Zhanar Medetbek, Kazybek Shalabayev Presenter: Gulshat Baispay, Al-Farabi Kazakh National University Almaty, Kazakhstan

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Abstract: According to the latest research, the use of social media to track the spread of radical ideas and extremist threats has attracted the attention of researchers for over 10 years. In recent years, there has been a surge in research interest in identifying criminals through social media accounts and analyzing the visualization of the connections of the users involved, since criminals actively use social media, and the number of calls for extremism through social media is growing every year. In this paper, we consider the current problem of using identification methods based on public data of user profiles and social network analysis to identify nodes for the dissemination of criminal information in social networks. It provides an overview of existing solutions and approaches, as well as proposes a proprietary method for identifying user profiles and analyzing graph properties. The applicability of the proposed method has been demonstrated experimentally through testing real datasets. The results of the experiment show high accuracy in detecting engaged users.

C26

10:15-10:30

Accuracy Comparison of Different Batch Size for a Supervised Machine Learning Task with Image Classification Authors: Noor BAHA ALDIN, Shaima Safa Aldin Baha Aldin Presenter: Noor BAHA ALDIN, Hasan Kalyoncu University, TURKEY Abstract: Machine learning is a type of artificial intelligence where computers solve issues by considering examples of real-world data. Within machine learning, there are various types of techniques or tasks such as supervised, unsupervised, reinforcement, and many hyperparameters have to be tuned to have high accuracy especially in image classification. The batch size refers to the total number of images required to train a single reverse and forward pass. It is one of the most essential hyperparameters. In our paper, we have studied the supervised task with image classification by changing batch size with epoch. The characterization effect of increasing the batch size on training time and how this relationship varies with the training model have been studied, which leads to extremely large variation between them. According to our results, a larger batch size does not always result in high accuracy.

C53

10:30-10:45

edaGAN: Encoder-Decoder Attention Generative Adversarial Networks for Multi-contrast MR Image Synthesis Authors: Onat Dalmaz, Baturay Sağlam, Kaan Gönç and Tolga Çukur Presenter: Onat Dalmaz, Bilkent University, Turkey Abstract: Magnetic resonance imaging (MRI) is the preferred modality among radiologists in the clinic due to its superior depiction of tissue contrast. Its ability to capture different contrasts within an exam session allows it to collect additional diagnostic information. However, such multi-contrast MRI exams take a long time to scan, resulting in acquiring just a portion of the required contrasts. Consequently, synthetic multi-contrast MRI can improve subsequent radiological observations and image analysis tasks like segmentation and detection. Because of this significant potential, multi-contrast MRI synthesis approaches are gaining popularity. Recently, generative adversarial networks (GAN) have become the de facto choice for synthesis tasks in medical imaging due to their sensitivity to realism and high-frequency structures. In this study, we present a novel generative adversarial approach for multi-contrast MRI synthesis that combines the learning of deep residual convolutional networks and spatial modulation introduced by an attention gating mechanism to synthesize high-quality MR images. We show the superiority of the proposed approach against various synthesis models on multi-contrast MRI datasets.

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C103

10:45-11:00

Netflix User and Movies Interest Analysis for Asian Countries Authors: Noraziahtulhidayu Kamarudin, Ayoub Daheche, Asem Khmag Presenter: Dr Noraziahtulhidayu Kamarudin, Universiti Tun Hussein Onn Malaysia, Malaysia Abstract: Nowadays, Netflix is one of the top content platforms in the world. Netflix distribute different content to the user such us movies and TV shows. Watching this content differ from country to country in term of the type of content. Not much studies has been conducted to get the understanding of viewing interest of the Asian people. The research aims to demonstrate the type of content that is watching in five South-east Asian countries and exploring the different interest of viewing preferences for the Asian countries. The pivot table's applicability is evaluated via Excel and Weka Machine. Indonesia, Malaysia, Philippines, Singapore and Thailand have been selected as the countries to whom the application will be applied. As anticipated, approach must satisfy the accuracy and relative ease of interpretation criteria of the two modules. To accomplish these objectives, all of these techniques substantially deconstructed the findings based on Netflix-Dataset (from Kaggle). From the Weka Machine, Random Forest Classification through regression produce coherent significance between the ROC curve and Precision ReCall Curve and Excel analysis through Pivot Analysis

C1501

11:00-11:15

i-tStar: Interactive Trajectory Star Coordinates Jing He, Haonan Chen, Yebin Zou Presenter: Jing He, Tsinghua University, China Abstract: There are many sources of geographic big data, and most of them come from heterogeneous environments. As the techniques evolved, these data sources contain attribute information of different spatial scales, time scales and complexity levels. In this case, visualizing high-dimensional spatiotemporal trajectory data is extremely challenging. Therefore, we propose a new solution, trajectory behavior feature, for moving objects that are integrated into a view to display and extract spatiotemporal patterns. The approach is evaluated through case studies of an open-pit mine truck dataset.

C20

11:15-11:30

Enhancing Tourism Experiences Via Mobile Augmented Reality By Superimposing Virtual Information On Artefacts Authors: NorHapiza Mohd Ariffin, Ahmed Rusydi Harith Mohd Khair, Zan Azma Nasruddin Presenter: Nor Hapiza Mohd Ariffin, Universiti Teknologi MARA, Malaysia Abstract: This interactive, attentive, and adaptable technologies that give visitors with relevant services and information at any time and from any location in the actual world were clearly something that can only be regarded as a view of the future, some place unattainable but present. The introduction of new technology has resulted in a paradigm change in display. It is the result of the convergence of modern smart mobile devices, contextual awareness, and augmented reality, which may enhance visitors' experiences and give them the sense of having accomplished something more. The introduction of new technology has resulted in a paradigm change in display. It is the result of the convergence of modern smart mobile devices, contextual awareness, and augmented reality, which may enhance visitors' experiences and give them the sense of having accomplished something more. The study on Enhancing Tourism Experiences via Mobile Augmented Reality by Superimposing Virtual Information on Artefacts (MARVIA) aims to enhance the user's experience aside from giving the user additional value when visiting the museum. A tracker or a marker that will be the trigger is the artefacts on the museum itself. The application will use the

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superimposition-based technique in augmented reality. It will superimpose several parts of the artefacts and overlay them with augmented objects, creating an augmented reality environment. This study focuses on augmented reality as it can be used without additional hardware that might incur more cost. It only needs a piece of software technology and a device that can be used alongside the software. Whilst virtual reality requires additional items and hardware such as goggles, and not only that, with the usage of different hardware, it will limit the movement of the tourists and thus will decrease the value of the tourist that comes to the museum.

C50

11:30-11:45

An Improved Approach for Small Object Detection in Hyperspectral Images Authors: Omer Ozdil, Yunus Emre Esin and Safak Ozturk Presenter: Omer Ozdil, HAVELSAN, Turkey Abstract: The fact that hyperspectral cameras have low spatial resolution values, this causes small targets not to be detected or detected with low performance values. In this study, a new method was proposed to detect small targets with high performance values. For target detection algorithms, it is very important to extract the statistical information of the image correctly. In particular, accurate background information is very important for the Generalized Likelihood Ratio Test (GLRT). In order to obtain these statistics correctly, the number of pixels for the image and the target should not be too many or too few. For this reason, the hyperspectral image passed through the preprocessing steps is divided into small pieces depending on the target dimensions to be detected. The target detection algorithm is performed separately on each of the tile components. In this way, the number of pixels from which the background information of the image is extracted is limited. Then, the results obtained from the small pieces are combined and a general result map is obtained. The tests were performed on 3 different targets in 2 different images. When the results were evaluated, it was observed that the detection performance values obtained using the proposed method were higher than the detection performance values obtained using the GLRT algorithm of the whole image.

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Session 7: Computer and Information Science Time: 9:30-11:45, March 31, 2022, Turkey Time, GMT+3 Session Chair: Assoc. Prof. Dr. Muhammad Akmal Chaudhary, Ajman University, UAE Zoom Link: https://us06web.zoom.us/j/84821782308 Password: 222931

C43

9:30-9:45

CLADIS: Software Platform for Digital Cluster and Informational Driver Assistance Applications Authors: Mustafa Ozcelikors, Cemal Cicekdes, Ekrem Sahin, Akin Gumuskavak, Hasret Unal, Huseyin Kilic, and Faruk Yildirim Presenter: Mustafa Ozcelikors, TTTech Auto Turkey Yazilim A.S, Turkey Abstract: As digital clusters become more popular in vehicles, new ways are being discovered by engineers to be able to create digital clusters that are safer and that have more complex functions. However, as the functional complexity increases, more safety related efforts are required to comply with the automotive safety standards. In order to overcome this problem, safety-critical and non-safety critical software could be isolated within separate embedded platforms. With this paper, we present CLADIS, a Linux-based software platform that is used for creating digital cluster applications with complex features. The software platform allows the development of informational driver assistance applications on top of digital clusters. Presented software platform keeps non-safety critical software isolated from the safety critical vehicle software and provides capabilities such as 3D rendering, safe communication, deep learning, traffic sign recognition.

C74

9:45-10:00

From Audio to Animated Signs Authors: Xinfeng Ye, Zhongling Tang, Sathiamoorthy Manoharan Presenter: Sathiamoorthy Manoharan, The University of Auckland, New Zealand Abstract: Nearly 5% of the world population is hearing-impaired and uses a sign language as their primary mode of communication. Unfortunately, sign languages are not commonly understood, and this poses a great communication barrier between the hearing-impaired and the rest. This paper builds, based on prior wok, a novel approach that breaks the barrier one-way with accessibility and accuracy as the key objectives. It achieves accessibility using mobile devices for user-facing interactions and accuracy using a transformer model. The system uses a four-stage pipeline to enable one-way communication between hearing-gifted and hearing-impaired: audio capture, audio-to-text conversion, text-to-gloss transliteration, and gloss animation. The user-facing first and last stages of the pipeline are implemented on mobile devices to ensure wide accessibility, while the computationally intensive middle stages are implemented on cloud servers. Empirical evaluations show that the approach has a high accuracy.

C110

10:00-10:15

A Hybrid approach for Web Traffic Prediction using Deep Learning Algorithms Authors: Anupama Prasanth, Priyanka Surendran, Densy John, Bindhya Thomas Presenter: Anupama Prasanth, University of Technology Bahrian, Kingdom of Bahrain Abstract: The web traffic is a time series action and it is having its peak and low. Even though it can be predicted in different ways but as when we use the fastest growing time series databases, the prediction mostly will be accurate. Since time series is an important topic nowadays and it is having many applications, here we use those data to explore a study in the direction of web traffic prediction. In this paper, we propose a novel time series regression based hybrid model for web traffic prediction based on deep learning algorithms. This hybrid model is a combination of two well-known networks, Long Short Term Memory (LSTM) and Radial Basis Functional Networks

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(RBFNs). This is generated using ensemble stacking algorithm and is trained to make a final prediction using all the predictions of the LSTM and RBFNs as additional inputs. We choose the time series data on different Wiki pages and used the significant conventional evaluation metrics such as mean absolute error, mean squared error and mean absolute percentage error. The experiment section shows the measures and its comparisons; our prediction model provides less error by considering this random nature (change) for a large scale of data

C11

10:15-10:30

EVALUATING USER EXPERIENCE (UX) FACTORS AND EMOTIONS OF OPEN DISTANCE LEARNING (ODL) DURING THE PANDEMIC COVID-19 AMONG SECONDARY SCHOOL STUDENTS Authors: ZAN AZMA NASRUDDIN, NOR HAPIZA MOHD ARIFFIN, NORITA MD NORWAWI, ROESNITA ISMAIL, AIDA WATI ZAINAN ABIDIN, FATIN NUR SYUHADA MOHD NOR Presenter: ZAN AZMA NASRUDDIN, UNIVERSITI TEKNOLOGI MARA, MALAYSIA Abstract: Throughout the covid-19 pandemic, technology in education has been important. This is a new norm in learning patterns. The study first investigates how user experience factors (useful, desire, accessible, usable) influence secondary school students' open distance learning (ODL). The second aim is to measure the emotion associated with their profiles. The method used is a questionnaire involving 161 respondents aged 13 to 17 years old. Findings show that user experience factors are significant to ODL, and the emotions associated with the likelihood ratio of gender and type of school are pleasant and unpleasant. Future work expands different target respondents, expands other user experience factors such as findable and credible, and expands different emotions.

C45

10:30-10:45

A Comparative Text Classification Study with Deep Learning-based Algorithms Authors: Ömer Köksal, Özlem Akgül Presenter: Ömer Köksal, ASELSAN, Turkey Abstract: As a well-known Natural Language Processing (NLP) task, text classification can be defined as the process of categorizing documents depending on their content. In this process, selecting classification algorithms and tuning classification parameters are crucial for efficient classification. In recent years, many deep learning algorithms have been used successfully in text classification tasks. This paper performed a comparative study utilizing and optimizing several deep learning-based algorithms. We have implemented deep neural networks (DNN), convolutional neural networks (CNN), long shortest-term memory (LSTM), and gated recurrent units (GRU). In addition, we performed extensive experiments by tuning hyperparameters to improve classification accuracy. In addition, we implemented word embeddings techniques to acquire feature vectors of text data. Then we compared our word embeddings results with traditional TF-IDF vectorization results of DNN and CNN. In our experiments, we used an open-source Turkish News benchmarking dataset to compare our results with previous studies in the literature. Our experimental results revealed significant improvements in classification performance using word embeddings with deep learning-based algorithms and tuning hyperparameters. Furthermore, our work outperformed previous results on the selected dataset.

C1406

10:45-11:00

A Framework of Promoting Intelligent System for Academic Advising using Recommendation System Based on Association Rules: CIS Department- Al-Baha University Case Study Sami Alghamdi , Osama E. Sheta , Mohmmed S. Adrees Presenter: Sami Alghamdi, Al-baha University, Saudi Arabia

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Abstract: A recommendation or a suggestion system is a branch of information filtering systems that aims to anticipate a user's liking of a specific product. The recommendation system mainly suggests a list of recommendations in an industry, using one of two methods: collaborative filtering or content-based filtering. In this paper, we propose an intelligent recommender system that aims to facilitate the process of academic advising. Our framework is built on a combination of association rules mining and a content-based filtering approach. Apriori algorithm (a well-known algorithm for mining frequent products sets and relevant association rule) is used to extract association rules, depending on the assumption that the space is (student x course), where number of students is greater than 100 and the number courses is less than 55 courses. The extracted rules are used as inference rules to present semantic knowledge to the results, where accuracy is improved. A list of recommended courses is offered after using Jaccard similarity coefficient to measure the similarity between courses.

C1411

11:00-11:15

Customer Churn Prediction by Classification Models in Machine Learning Heng Zhao, Xumin Zuo, Yuanyuan Xie Presenter: Heng Zhao, Shenzhen Technology University, China Abstract: The classification model in machine learning has been employed to address different problems. Machine Learning classification is an effective method to realize customer churn prediction. This article provides a comparative study of machine learning from the perspective of predicting customer churn. Customer churn is one of the obstacles hindering the development of companies. Through classification approaches based on machine learning, customer churn can be predicted precisely, thus providing decision-making capabilities to these companies. Customer churn prediction is a typical classification problem and can be addressed by the use of a decision tree or random forest model. In this paper, decision tree and random forest models are employed to predict customer churn, using sales data provided by a chemical company from 2012 to 2020. We analyze the underlying risk of customer churn and the customer churn factors, including the low-priced count (LC), total amount of money (TM), and creation time (CT). The prediction results of the two models are evaluated by calculating various metrics. The experimental results indicate that the low-priced count (LC) is the most essential factor for customer churn. The results of the comparison, considering the training error and generalization error including: confusion matrix, ROC curve, AUC, precision, recall, and F1 score, reveal that the random forest model has better prediction accuracy than the decision tree model.

C16

11:15-11:30

The Improvement of SOME/IP Service Discovery via Association Rule Mining Authors: Berkay Saydam Presenter: Berkay Saydam, TTTech Auto, Turkey Abstract: Scalable service-Oriented MiddlewarE over IP is a middleware solution that enables service-oriented architecture between the Electronic Control Units. This architecture provides reduced complexity of the data path, the required flexibility and adding new software functions to the vehicle system easily. Service discovery is the technology to automatically detect services and devices on a network. The node which requests for data becomes the client and the node which provides the data becomes the server. Services can miss subscription attempts by a client during service discovery since their nodes are running after client node in a network. This situation increases system startup time when there is no organization to align services and clients. Association Rule Mining is a machine learning method to find associations and relationships among sets of data. The relationships between services and clients can be determined via this method. The startup time can be improved according to

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frequently used services and clients order. The rate of missing subscription attempts is reduced with alignment. The purpose of this study is reducing network startup time, which is increased by the service discovery process. The network, which has four services and eight clients, is created as a simulation of four Electronic Control Units. As a result of this study, the network startup time is improved almost three times even for only eight clients. The algorithm used in the study has an acceptable computational complexity which is an important parameter for embedded systems to have low runtime overhead as a novelty.

C63

11:30-11:45

DNN-based Arabic Speech Synthesis Authors: Aissa Amrouche, Youssouf Bentrcia, Khadidja Nesrine Boubakeur and Ahcène Abed Presenter: Aissa Amrouche, CRSTDLA, Algeria Abstract: This article discusses a Deep Neural Network-based Text-to-Speech synthesis for the Arabic language. Subjective and objective tests were used to evaluate the system. We used the Mean Opinion Score (MOS) for subjective evaluation, and the Diagnostic Rhyme Test (DRT) to test the intelligibility of some consonants and vowels. We use the Perceptual Evaluation of Speech Quality (PESQ) for objective evaluation. The results have a mean of 3.92/5, 3.88/5 for the MOS and DRT tests, respectively, and 3.17/5 for the PESQ test; the majority of words and sentences were recognized, and the system's overall evaluation quality was satisfactory. Furthermore, the results show a significant improvement in the quality of synthesized speech for DNN-based TTS when compared to its HMM-based counterpart.

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Session 8: Advanced Electronic Technology and Application Time: 13:30-15:30, March 31, 2022, Turkey Time, GMT+3 Session Chair: Prof. Munir Al-Absi, KFUPM, Saudi Arabia Zoom Link: https://us06web.zoom.us/j/83449313521 Password: 222931

C71

13:30-13:45

Efficient FPGA Implementation of Chaotic based Communication System with Polar Encoding Authors: Raya. K Mohammed,Hamsa A. Abdullah Presenter: Raya. K Mohammed, Al-Nahrain University, Iraq Abstract: Polar code has become the coding scheme of the control channel in the 5th Generation (5G) wireless systems. Reduced complexity is the most attractive feature in encoding and decoding schemes. One of the main characteristics of 5G networks is the enhanced mobile broadband (eMBB) communications. The characteristic of chaotic signal such as wideband spectrum, good randomness behavior, easy to generate and perfect correlation properties making it suitable for 5G communication system. The implementation of polar coding with chaotic modulation plays a vital role in communication systems for 5G environments. Parallel processing capability with Field Programmable Gate Array (FPGA) reduce the complexity and perform the encoding and decoding processing faster. In this paper, an efficient communication system consists of polar codec and Chaotic Shift Keying (CSK) modulator has been designed in Xilinx System Generator (XSG). The designed system is implemented successfully in FPGA hardware using Nex4DDR-Artix7 and Genesys2-Kintex7. The hardware results proved that the required resources are reduced as compared with literature. The number of DSP blocks is 120 while the time delay is 14.479 ns.

C128

13:45-14:00

The Supply Modulation Circuit for Dynamic Drain Voltage of the Sub-amplifiers in the Doherty Topology Authors: Alperen Tunç, Mustafa Berke Yelten Presenter: Alperen Tunç, Istanbul Technical University, Turkey Abstract: In this study, the supply modulation circuit for the sub-amplifiers of the Doherty topology is described, designed, and measured. Doherty power amplifiers (PAs) assume different topologies to increase back-off power and efficiency values. However, their main concern is not about increasing the low-power region efficiency of the PA. Rather, they focus on the region between the peak power and the maximum back-off efficiency points. In this paper, a supply modulation circuit is designed and measured so that the low-power region efficiency of the Doherty PA is increased substantially by creating multiple maximum back-off efficiency points at different input power levels through adjusting the voltage supply of the PA.

C123

14:00-14:15

Capacity Loss Analysis Using Machine Learning Regression Algorithms Authors: Sergen Atay, Ahmet Aytuğ Ayrancı, Burcu Erkmen Presenter: Sergen Atay, Yıldız Technical University, Turkey Abstract: In this study, time dependent measurements of the power capacitor, which is the main equipment of a compensation unit, are given. The power capacitor is actively working in an industrial facility. Six months of the data from this capacitor were recorded and tests were carried out using Machine Learning (ML) algorithms for its remaining useful life. ML algorithms were selected from the algorithms that used for regression problems. In the study, Support Vector Machine (SVM), Linear Regression (LR) and Regression Trees (RT) algorithms were used. The rated powers of the analyzed capacitor are 50kVAR and 25kVAR from the active plant. The data set was created by running the capacitor continuously for 6 months and the capacity loss was

46


examined with using ML algorithms. The algorithm that gives the best result in the regression analyzes is the LR algorithm. With the results obtained, it is possible to analyze how long the useful life of capacitors with the same characteristics have under the same stress.

C40

14:15-14:30

Design of Triple-Band Bandpass Filter using Inverted Microstrip Ridge Gap Waveguide for Ka- Band Applications Authors: Mehmet Faruk Cengiz, Mohammed Farouk Nakmouche, Diaa E. Fawzy, A.M.M.A. Allam, Gökberk Akarsu and Hany Taher Presenter: Mehmet Faruk Cengiz, Izmir University of Economics, Turkey Abstract: In this paper, a triple-band inverted microstrip Ridge Gap Waveguide (RGW) filter is designed using a double octagonal ring resonator (RR) with corner cuts. The design parameters were optimized using Finite Difference Time Domain (FDTD) method of analysis (CST studio simulator). The filter is implemented on Rogers RT5880 (εr =2.2, thickness 0.787mm and loss tangent tanδ = 0.0009). It is selected because of its low losses at high frequencies. The proposed design operates at 32.32 GHz, 35.75 GHz and 38.12 GHz with -3 dB fractional bandwidths of about 5.2%, 1.37%, and 2.46% respectively. The developed filter exhibits a low insertion loss of about 0.6 dB, 1.1 dB, and 0.9 dB at these three resonant frequencies, respectively. The proposed design is suitable for Ka band applications.

C55

14:30-14:45

Aspects Regarding the Improvement of the Constant – k Filter Performances Authors: Ioana-Gabriela Sirbu Presenter: Ioana-Gabriela Sirbu, University of Craiova, Romania Abstract: Electric filters are widely used in telecommunications and power electronics applications. The classic passive filters still retain their practical utility, due to their advantages related to the wide spectrum of operating frequencies. In this context, the paper is focused on the analysis of constant-k passive filters. The aim is to find constructive variants that would ensure the best possible attenuation slope in the vicinity of the cut-off frequency, an aspect that offers a better selectivity of the signal frequencies that cross the filter. The influence of losses due to the resistances of the elements on the filter performance was also analyzed. The analyses and the obtained results complete the existing notions in the specialized literature.

C138

14:45-15:00

Efficient Real-time testing of 51 Level MMC Converter in Hardware in Loop (HIL) Setup for HVDC Applications Authors: Jamshed Ahmed Ansari, Chongru Liu, Le Zheng Presenter: Jamshed Ahmed Ansari, NCEPU, China Abstract: With the recent development in power semiconductor devices, the high voltage direct current (HVDC) transmission system becomes the most dominant technology for future power systems. Modular multi-level converter (MMC) has been recognized as the most prominent topology in building HVDC systems due to its numerous advantages over other converter topologies due to its salient features. Today many solutions are proposed for the issues related to the operation, control, and protection of MMCs using different simulation platforms and small prototypes. In this research work, the MMC and its controller are designed and tested under a real-time simulation environment using a hardware in loop (HIL) setup. The three-phase MMC circuit designed in MATLAB is loaded in NI PXI. The NLM controller designed in LabVIEW is then loaded on an FPGA-based Compact RIO controller to control the circuit running in PXI. The real-time simulation environment enables engineers and researchers to develop and test their proposed controllers without involving and damaging the costly hardware equipment. The results obtained using

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real-time simulation mimic the actual behavior of the controller. The developed MMC possesses an improved power quality and a very low total harmonic distortion (THD) maintaining a modulation index of 0.8. The proposed method is simpler to implement and produces a pure sinusoidal AC output waveform, tracking the reference signal.

C120

15:00-15:15

THE PREVALENT DISABILITY TYPES AND ASSISTIVE TECHNOLOGY DEVICES AMONG THE DISABLED POPULATION IN OMAN Authors: Dr.Said Jaboob, Dr.Balaji D, Mr. Senthil Kumar Natarajan, Dr.Munesh Chauhan Presenter: Senthil Kumar Natarajan, University of Technology & Applied Sciences, Salalah, Oman Abstract: The current technologies have drastically changed the way how humans interact in their daily lives. These technologies are now ubiquitous in every walk of our lives. Somehow such technologies have not been able to make an impact in the world of disability as was expected. The main challenge for the very limited penetration of new-age technologies has been the lack of adaptability and customization. Researchers in assistive technologies have been exploring avenues to adopt and adapt such technologies through tweaks and customization for the disabled. This research work is part of the UTAS initiative which is funded by the Ministry of Higher Education Research and Innovation in Oman to explore and invent novel assistive technologies that are relevant for locomotor challenged individuals. The work focuses on the communication aspect of disabled persons and employs finger movements as a mode of interaction. The work comprises an extensive literature survey that involves Oman’s healthcare sector information collected through passive sources such as website and Twitter handles. The main aim has been to analyze and assess the types of disabilities that are most prominent in Oman. In addition, an effort is made to identify the different devices and apparatus that are currently in vogue among the disabled. The primary aim is to either supplement these devices by incorporating new technology or propose new devices that can make the lives of the disabled more fulfilling and purposeful. Once these augmented devices have been tested, we aim to liaison with industries for the manufacture and development of such medical devices on a mass scale. The main consideration for such devices shall be the cost as well as the ease of manufacture or assembly. The devices will go through all required tests both ethical and technical so that they are acceptable to the disabled population without any reservations. We also envisage a series of training sessions for disabled persons such that they become conversant with the devices and also become aware of the various features and configurations. Many studies have opined that many such technologies in the past remain unnoticed as no proper training manual and sessions were arranged. We intend to bridge this gap and will proceed to follow the standard marketing strategies of commercial companies to popularize products. Familiarity with such devices will make them more acceptable and we intend to instate different versions during the upgrade process. Our work is a sort of survey paper on the more general as well as specific types of disabilities prevailing among the population of the Sultanate of Oman and the underlying physical challenges. We analyze various surveys, white paper information booklets, and government manuals that relate to disability in Oman as part of the literature review. We are keen on the statistical data on disability as it will allow us to focus our research directly on the specific needs that exist among the disabled population. The data so collected can shed vital insights into how disability is being tackled and what technologies are currently in usage. This will also allow the government to direct the funding and resources to those disabled sectors that are languishing for want of attention. This work will also rope in caregivers and try to ascertain their views on the type of devices and facilities they view as essential for the daily upkeep of the disabled person. We also surmise the integration of assistive technology (AT) with the Internet of Things [IoT] and how such

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contraptions can help in alleviating the physical discomfort faced by a locomotor-challenged person. In addition, details from the Omani government’s websites are analyzed and the results are graphically portrayed which in turn summarizes the level of the acuteness of disability that prevails in Oman. Finally, in the end, a thorough recommendation and suggestions shall be offered to mitigate such issues as well as an overview of the future work with respect to the work packages of the theme of the project. Keywords— Disabilities, Health care sector, Medical Equipment, Assistive Technology [AT], IoT, HAAT

C96

15:15-15:30

An Ultra-Low-Power Process-and-Temperature Compensated Ring Oscillator Authors: Hazem H. Hammam, Khaled M. Hassan and Sameh A. Ibrahim Presenter: Hazem Hassan Hammam, Ain Shams University, Egypt Abstract: The need for low-power and high-precision clock is desirable for systems that target high power efficiency. In most designs, a complex compensation technique is required to generate a Process-Voltage-Temperature (PVT) independent clock which has a high-power consumption power and occupies a large silicon area. This paper presents the design of a 3-stage current-starved ring oscillator that compensates for process and temperature variations. The proposed ring oscillator achieves up to 90% reduction in the frequency variation from its center frequency across process and temperature variations compared to the conventional current-starved ring oscillator. The proposed design is implemented in a standard 130-nm CMOS process. The power for the proposed circuitry is 346 nW and occupies an area of 315 µm2.

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Session 9: Electronics and Communication Engineering Time: 13:30-15:30, March 31, 2022, Turkey Time, GMT+3 Session Chair: Prof. Diaa E. Fawzy, Izmir University of Economics, Turkey Zoom Link: https://us06web.zoom.us/j/88910112691 Password: 222931

C76

13:30-13:45

A Novel Ultra-Wideband Metamaterial-Based Perfect Absorber for 5G Millimeter-Wave Applications Authors: Gökberk Akarsu, Mohammed Farouk Nakmouche, Diaa E. Fawzy and A.M.M.A Allam Presenter: Gökberk Akarsu, Izmir University of Economics, Turkey Abstract: This paper proposes a novel design of ultra-thin, miniature metamaterial (MM) - based ultra-wideband absorber which is aiming for 5G millimeter-waves and Ka-band applications. The unit cell is designed by combining two letters (H&S) and side patches for the generation of multi-resonance bands and printed on a grounded dielectric of Rogers RT5880 material. Based on the numerical plane-wave simulations, the proposed absorber exhibits an ultra-wideband of about 16.2 GHz absorption bandwidth in the frequency range between 27.669 GHz and 43.871 GHz. The average absorptivity rates are close to 99% for incident angles between 0°-20°. The developed absorber preserves the ultra-wideband property of about 11.50 GHz for an incident angles between 20° and 30° in the frequency range between 27.7 GHz and 39.2 GHz with high absorptivity rates close to 90%.

C133

13:45-14:00

Effect of Visibility Variation on Free-Space Optical Communication System over the Eastern Coast of South Africa using Climatic Data Authors: Okikiade Adewale Layioye, Thomas J. O. Afullo, Pius Adewale Owolawi and Joseph S. Ojo Presenter: Okikiade Layioye, University of KwaZulu-Natal, Durban, South Africa. Abstract: Existing wired and wireless communication systems do not favor communication systems that require high performance characteristics, license-free spectrum with high bandwidth access, high security and cheap installation costs. In recent years, it has been demonstrated that the Free Space Optical (FSO) communication system has characteristics that match the above benefits over other forms of communication systems. However, a significant degrading component that considerably impacts its propagation is the occurrence of atmospheric fog, which greatly diminishes its quality when it propagates over the atmospheric scattering medium. This paper evaluates the degree of the effect of various atmospheric conditions on the atmosphere of the eastern coast of South Africa: Durban as a case study, using different approaches available for Free Space Optical communications. This work also classified the entire visibility range into different classes, to properly account for all the atmospheric conditions in this location. The collected visibility data were used to estimate the specific optical attenuation magnitude and the received optical power over Durban for the entire year 2011. The results obtained showed that there are several occurrences of severe atmospheric attenuation especially during the worst-case scenarios, reaching as high as 169.81 dB/km which can cause optical link failure or outage. The results of the computed link margin also showed that during situations of thick, moderate and light fog conditions with expected atmospheric attenuations as high as 340 dB/km, 85 dB/km and 34 dB/km, the optical link cannot transmit further than 0.34 km, 0.70 km and 1.24 km respectively.

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C104

14:00-14:15

The Effect of Different Mobile Trajectory on the Performance of VoIP Application in WiMAX Network Authors: Noor Nateq Alfaisaly,Suhad Qasim Naeem,Eman K. Jassim Presenter: Noor nateq fadhil alfaisaly, ALNahrain University, Iraq Abstract: WiMAX (Worldwide Interoperability for Microwave Access) is a wireless technology based on the IEEE 802.16 standard that provides high speed, throughput, and coverage. Besides QoS, IEEE 802.16 has a data throughput of 100Mbps and a range of 50 kilometers. VoIP "Voice over Internet Protocol" is a versatile and low-cost telephone solution for IP customers. However, many problems remain to be overcome in order to provide a reliable and high-quality audio connection via the Internet. In this paper, the difference in the path of mobile movement through the WiMAX network is studied, as it used types of trajectories (star, square, and Triangle) while making one of the mobiles is fixed without movement and making a comparison between them. A four-cell scenario is presented. One mobile station and one base station are found in each cell. To determine the optimum "VoIP" performance, network performance parameters such as throughput, MOS, jitter, pathloss, and SNR for mobiles (1-1) and (2-1) were used. OPNET 14.5. was used to examine the performance. According to the results, the Throughput and MOS were better when using the Triangle Trajectory, but the result of the jitter was better when using the fixed-mobile compared to the rest of the results and has shown that the inwards trajectory results in improving the efficiency of the network due to the fact that the mobile node gets closer to the base station. Also the value of the pathloss that obtain from mobile (1-1)( square trajectory) is greater than value obtain by mobile (2-1)(star trajectory).But the value of SNR in mobile (1-1) is less than the value of SNR in mobile (2-1)

C42

14:15-14:30

Development of A Symmetric Metamaterial Absorber with Bandwidth Improvements for 5G Millimeter-Wave Applications Authors: Gökberk Akarsu, E. Buse Zengin, Mohammed Farouk Nakmouche, Mehmet Faruk Cengiz, Diaa E. Fawzy, A.M.M.A Allam and Hany Taher Presenter: Gökberk Akarsu, Izmir University of Economics, Turkey Abstract: This study presents the development of a one-layer symmetrical Metamaterial Absorber (MMA) for millimeter-wave (mm-wave) applications. The target is to enhance the narrow band behavior and to achieve ultra-wideband with high absorptivity rates. The design is based on octagonal shaped cut rings and octagonal patches printed on grounded rigid substrate. A novel unit cell is developed and enhanced with the use of lumped elements technique to obtain ultra-wideband absorbers with high absorptivity rates. It is implemented on Rogers RT5880 with dielectric relative permittivity εr = 2.2, dielectric loss tangent of tanδ=0.0009, thermal conductivity of 0.2 W/m.K and with a 1.575 mm thickness. The characteristics of the MMA are examined in term of different resistive values, geometries, and angle of incidence. The obtained results show great enhancements in both the -10 dB bandwidth and in the absorptivity rates. The narrow bandwidth of the symmetrical design is enhanced by a factor of about 200 with average absorptivity of about 98% over the whole bandwidth. The current design is a very suitable for applications in the mm-wave.

C136

14:30-14:45

3-5 GHz CMOS Power Amplifier in 130nm CMOS for UWB Applications Authors: Nagham G. El-Feky, Dina M. Ellaithy, Mostafa Fedawy Presenter: Nagham G. El-Feky,College of Engineering, Arab Academy for Science and Technology and Maritime Transport, Egypt Abstract: In this paper, a broadband CMOS power amplifier (PA) operating in frequency range from 3 GHz to 5 GHz in 130 nm CMOS technology for ultra-wideband

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(UWB) applications is accomplished. The cascode scheme (common source transistor followed by common gate transistor) is employed in the design of the proposed PA. To boost the power gain, two stages cascode amplifier followed by common source (CS) power stage are used covering the operating band. This PA achieves a gain of 18.86 dB with excellent flatness of ±0.3. The matching networks are designed to achieve an input and output return loss, (S11) and (S22) of <-5 dB and <-3 dB, respectively, with reverse isolation (S12) of <-100 dB.

C111

14:45-15:00

SIGW based Bi-directional Coupler for Ku-Band Applications Authors: Maher Ghaly, Mohamed Salah El-Din, Abdelmegid Allam and Diaa E. Fawzy Presenter: M.S.H.Salah El-Din, Ain Shams University - Egypt Abstract: In this paper, a bi-directional coupler based on substrate integrated gap waveguide (SIGW) is presented for Ku-band applications. The proposed coupler is considered to be the first bi-directional coupler that is realized using gap waveguide technology. It operates at frequency band of 14-17 GHz. The quasi-transverse electromagnetic (Q-TEM) SIGW based coupler is excited through a co-planar waveguide (CPW). The proposed design is characterized by its compactness, planar profile structure and low signal dispersion. The design parameters were optimized using Finite Difference Time Domain (FDTD) method of analysis (CST microwave studio). The presented coupler is designed to be used as a feeding network for radar beam steering applications, adaptive antennas and beam forming networks. Furthermore, it can be considered as a good candidate in terms of power conservation concept.

C99

15:00-15:15

Genetic Algorithm-based Uncoded M-ary Phase Shift Keying Space-Time Labelling Diversity with Three Transmit Antennas for Future Wireless Networks Authors: Shaheen Solwa, Mohamed K. Elmezughi, Ayodeji Bamisaye, Dauda Ayanda, Ali Almaktoof and M. T. E. Kahn Presenter: Shaheen Solwa, University of KwaZulu-Natal, South Africa Abstract: Recently, the three transmit uncoded space-time labelling diversity (USTLD) system was introduced in literature for quadrature amplitude modulation (QAM) and amplitude phase shift keying (APSK) schemes. However, the new scheme had not been applied to the phase shift keying (PSK) modulation technique. Due to the structure of M-PSK constellations, existing third mapper symmetry-based heuristics could not produce mapper designs. In this paper, a genetic algorithm (GA) is proposed to produce the third mapper design for three transmit USTLD PSK systems. The three transmit antennas USTLD M-PSK scheme is simulated in the fast-fading channel where M is the order of modulation. Numerical analysis show that the analytical results are validated by Monte Carlo simulations with a tight match at high SNR. At a bit error

rate(BER) of 〖10〗̂ (-6), the 8PSK and 32PSK schemes exhibit gains of ≈2 dB and ≈8

dB while at the BER of 〖10〗̂ (-5), the 16PSK and 64PSK schemes exhibit a gain of

≈4 dB and ≈5 dB, respectively.

C73

15:15-15:30

Dual Band Antenna Design Using Pixeled DGS for Energy Harvesting Applications Authors: Mohammed Cherif Derbal, Mohammed Farouk Nakmouche, Mourad Nedil, Diaa Fawzy, Amma Allam and Mohamed Fathy Abo Sree Presenter: Mohammed Farouk Nakmouche, Izmir University of Economics, Turkey Abstract: This paper describes a dual-band antenna for energy harvesting applications at 3.5 GHz and 5.8 GHz utilizing a multi-objective Genetic Algorithm (GA). An optimized Defected Ground Structure (DGS) has been etched in the patch antenna’s ground to achieve a

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dual-band response. Moreover, the GA allows obtaining a maximum gain in both frequency bands. The proposed antenna has a good gain of 7.22 dBi and 6.18 dBi at 3.5 GHz and 5.8 GHz. An experimental validation is conducted using ROHDE & SCHWARZ ZVB20 network analyzer, and a good agreement with the simulation result is obtained. Therefore, this antenna is suitable for Wi-Fi energy harvesting applications.

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Session 10: Control Systems and Engineering Time: 13:30-15:30, March 31, 2022, Turkey Time, GMT+3 Session Chair: Assoc. Prof. Mostafa Rashdan, The American University of the Middle East, Kuwait Zoom Link: https://us06web.zoom.us/j/84821782308 Password: 222931

C125

13:30-13:45

Robust Tuning of PID Controller Using Differential Evolution Algorithm Based on FPGA Authors: Ozan YALCIN, Abdulkadir CANLI, Ali Rıza YILMAZ, Burcu ERKMEN Presenter: Ozan YALCIN, YILDIZ TECHNICAL UNIVERSITY, TURKEY Abstract: The development of technology has made control systems very important in the engineering world. The analysis and design of the controller/controller circuits that enable the systems to operate in the desired properties are among the main areas of control theory. In this study, the Proportional Integral Derivative (PID) controller is responsible for correcting the error that the ZSource Inverter (ZSI) circuit receives from the difference between the input signal and the output signal. PID parameters are set by using the Differential Evolution Algorithm, one of the heuristic optimization algorithms. Thus, the most stable operation of the system is aimed. The model estimation has been made using Support Vector Regression (SVR) for a numeric cost function which is feasible for FPGA implementation. Differential Evolution Algorithm (DEA) has been implemented on FPGA due to its parallel processing capability. Despite the complexity of the algorithm with FPGA, the parameters are decided after 21.75 ms time.

C80

13:45-14:00

Active Power Coordination Control for Wind and Energy Storage System Authors: Murat Can Sinim, Muslum Cengiz Taplamacioglu Presenter: Murat Can Sinim, Gazi University, Turkey Abstract: Wind turbines are the one of the important steps to reach carbon zero target for countries. Therefore, there have been huge investment for wind turbines for an onshore and offshore. Due to wind fluctuations, wind turbines are still defined as an intermittent power sources in literature. In order to improve the wind turbine penetration, mitigating negative effects and increasing benefits makes important contribution to support from grid operator and market players. In addition to this, energy storage integration to wind turbine can provide further support to mitigate the negative effects such as unforeseen wind speed as well as intermittency. This positive support increases the control of active power output. In this paper, the research on the energy storage integration to wind turbine system are conducted. As a case study, 4.2 MW output power wind turbine model is used with real time measured wind speed data which is gathered from in Turkey. Li-ion energy storage system (ESS) and its technical data from one real product is chosen in this study. All necessary operation is carried out on Python.

C31

14:00-14:15

Design and Implementation of a Multiple DoF Soft Robot Arm using Exestensor Muscles Authors: Ziad Al-Rabia, Mohammad Al-Ibadi and Alaa Al-Ibadi Presenter: Ziad Al-Rabia, University of Basrah, IRAQ Abstract: This paper proposes a unique soft robot arm. It shows very uncommon behaviour, that a pneumatic platform that can be grasped, contract, extend (stretch), and bend in all directions based on the three designed muscles that connected and operated as parallel actuation. This idea had been launched from an animal whose body has no rigid structures (without bones), like an Octopus, Elephant trunk, and some other animals. The pneumatic muscle actuator (PMA) represents a valuable

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addition and expansion to the robotics investigation area 20 years ago. These actuators (PMAs) give worthy additions to the robotic systems. These actuators support considerable features like flexibility, lightweight, high force according to weight ratio and the ability to have changeable shapes. This paper has studied a new length model 50 cm to every single extensor PMA. The proposed arm shows about 50% extension ratio and the ability to bend along the three dimensions.

C52

14:15-14:30

Carrying out of Strength Control of Mutual Loaded Traction Geared Motor Boxes as a Part of Industrial Tests Authors: Genadijs Kobenkins, Marks Marinbahs, Anatolijs Bizans, Nikita Rilevs, Vsevolod Burenin and Olegs Sliskis Presenter: Genadijs Kobenkins, Riga Technical University, Riga, Latvia Abstract: The article provides an analysis of the procedure for conducting and results of research tests of a traction geared motor box (hereinafter GMB). The traction GMB is provided for installation on a motor trolley as part of an asynchronous electric drive of a suburban electric train. Railway transmission systems operate in an environment with various sources of mechanical and electromagnetic excitations, where the possible unstable operation of the traction motor is one of the most critical indicators. This paper describes the structure and functionality of the physical test equipment and a model of a coupled system with a complete electrical circuit, including a rectifier, a DC link, a traction inverter, a motor-gear unit, and a system of mechanical connections, including flexible damper couplings and shock absorbers. This approach makes it possible to determine the intrinsic resonant frequencies of the GMB design, as well as the level of vibration activity of the GMB under dynamically changing loads. The obtained cascade characteristics of vibration activity correspond to both a long-term steady-state mode and transient mechanical disturbances during start-up, a change in rotation speed and the transition of the GMB to the run-out mode.

C117

14:30-14:45

An Enhanced Fault Ride-Through Capability for MTDC Systems Using Vector Current Control and Inherent Energy of Submodules of MMC Authors: Jamshed Ahmed Ansari, Chongru Liu, Le Zheng Presenter: Jamshed Ahmed Ansari, NCEPU, China Abstract: Modular multi-level converter (MMC) has been recognized as the most prominent topology in building the multi-terminal direct current (MTDC systems) due to its numerous advantages over other converter topologies. The primary concern for the operation of such advanced MTDC grids is to ensure the reliability and safety of the electrical equipment during dynamic and transient conditions following standard grid codes. This research work proposes a combination of different control strategies developed for MMC based MTDC systems to promote fault ride-through capability during three-phase transients and voltage dips. The proposed control architecture contains inner and outer control loops for MMC stations. Along with the different control strategies, the inherent energy available in the capacitors of submodules MMC has also been utilized, which ensures constant power delivery to the load system during three-phase transients & voltage dips and provides power oscillation damping (POD) with quick post fault recovery operation. The energy dimensions required for capacitors of each MMC station are calculated. The proposed control strategies have been validated with an experimental setup of a four-terminal MMC based MTDC system developed in the simulation environment. The proposed control strategies envision a robust fault ride-through capability with reduced oscillations and total harmonic distortion (THD). Such a method is more reliable for an MTDC system than the classical solutions, which are based on drawing increased current from the grid or using additional circuitries. Moreover, the proposed control strategies can work efficiently for any MTDC system as compared to previously presented solutions, which

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are restricted to two-terminal HVDC systems.

C39

14:45-15:00

Comparison of Shielding Effectiveness of Jerusalem Cross and Wire Screen Metamaterials for Vehicular Electromagnetic Compatibility Authors: Valdeth Sousa, Marcelo Villalva and Luiz Carlos Kretly Presenter: Valdeth dos Santos de Sousa, State University of Campinas of Sao Paulo Campinas, Brazil Abstract: Regulations on vehicular electromagnetic compatibility such as CISPR 25 and ISO 11451-2 establish limits for the electromagnetic emissions of electrical systems in a vehicle and sets limits for electromagnetic emissions from components to prevent disturbance in vehicles.The physical dimensions of the FSS represent important design parameters, as they exert a great influence on its transmission and reflection characteristics, as well as the types of dielectric materials used. Two frequency selective surfaces (FSS) were analyzed for the purpose of shielding effectiveness and adaptation to the standards applied to electric vehicles with the purpose of decrease electromagnetic interference. This article compares shielding effectiveness between two FSS, a Jerusalem Cross and Wire Screen. In this article, approximate and simple formulas were used to calculate shielding effectiveness, reflection, absorption and transmittance values. Index Terms—FSS, Electromagnetic compatibility (EMC), Electric Vehicle, Shielding Effectiveness

C131

15:00-15:15

Hybrid Parallel-Serial UPURP Manipulator for Inspection and Invasive Procedures Authors: Mohammad AlKhedher, Ahmed Abdelrahman, Abdelrahman Abdeldaim, Mohanad Ismail, Mohammed Ghazal Presenter: Mohammad Alkhedher, Abu Dhabi University, UAE Abstract: Numerous applications need six-degree-of-freedom parallel-serial manipulators. The purpose of this effort is to simulate and develop a customized manipulator for inspection and invasive operations. Collaboration between a master unit (hand glove), a UPURP manipulator, and a vision system demonstrates how complicated inspection operations may be accelerated. The scope readings demonstrate good stability. Additionally, all kinematic analysis was accomplished on the slave Arduino, and programs were added to assist in controlling the position and orientation via the master unit. Finally, experimental validation of the simulation results was performed for several motion regimes.

C83

15:15-15:30

Prediction of Cloth Waste Using Machine Learning Methods in the Textile Industry Authors: Ceren Atik, Alp Kut, Derya Birant, Safak Birol Presenter: Ceren Atik, Dokuz Eylul University, Turkey Abstract: The modern methods offered by the field of artificial intelligence bring an alternative solution to the problems existing in the industry. In this study, it is aimed to make an estimation of cloth waste in a textile company by using machine learning models. Thus, instead of producing with a fixed waste rate, the company evaluates many different parameters affecting the production process and obtains waste rates that vary according to the order. In this way, the company can overcome the problems that may be encountered in terms of both resource management and cost with the right amount of production. In the study, four machine learning methods (Support Vector Regressor, Random Forest, Decision Tree Regressor, and Bagging) were used and the results show that bagging gives the highest R2 value and minimum prediction error with 0.86 R2 when compared to other approaches.

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What to see and do in Alanya

See

The Citadel (Kale) occupies a hilly peninsula surrounded by the sea on three sides, and by the

modern parts of the city on the other. Although the signs showing way to ‘Castle’ (Kale) points to the

highest parts of the walls, the walls can be followed starting right at the sea level. Particularly

interesting in (or next to) the citadel is the tip of the peninsula formed by a high and narrow extension

of rocks, jutting long into the sea. This formation is named Adam Atacağı in Turkish (pronounced

aa-daam aa-taa-jaa-a), literally “man thrower”, as here was where people condemned to death were

pushed into the sea.

The Red Tower (Kızıl Kule) – The hexagonal tower of the citadel which is nearest to sea.

Old shipyard (Tersane) – Built by the Seljuqs, this structure dates back to 1228. Located very near

the Red Tower.

Syedra Ancient City Ancient port city in the Seki Village, some 25 km southeast of the city center.

Excavations continue.

Damlataş Cave near Kleoptra Beach.

Caves around the town, accessible by boat trips.

Dim Çayı

Sapadere Kanyonu

Do

There is a lot to do in and there are plenty of tour companies whole heartedly willing to help you.

Boat trip (try to haggle down to €5 for one hour), should include visits to caves (if the weather permits

it) and lunch as well as animation with Eurodance music. Beware some salespersons there promise

you that you will see turtles and dolphins before the season before may and that you will go into the

cave with the boat, even though you boat is far too big. Do not believe them.

Scuba Diving (more fish during the high season)

Jeep safari tours

Quad bike tours

Donkey riding

Trip to historic Amphitheatre in Aspendos

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Thank You and

See You Next Year

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