SRACE2022 e-Program Book

PROGRAM BOOK



























"Advancing Electronics & Computer Engineering for Future"

SRACE2022



S Y M P O S I U M O N R E C E N T
A D V A N C E S I N E L E C T R O N I C A N D
C O M P U T E R E N G I N E E R I N G












TABLE OF CONTENTS






3 Preface

4 Welcoming Speech: FKEKK Dean

5 Welcoming Notes: SRACE2022 Chairman


6 Advisory Committee

7 Organizing Committee


8 Collaborators

9 Keynote Speakers


15 Program Tentative

17 Abstract


24 Notes

25 Advertisement: FKEKK Postgraduate Program
































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PREFACE














GLANCE THROUGH
"A good collaboration pushes the boundaries of both partners." - Anonymous




SRACE2022 is the first virtual symposium conducted between our MOU partners
S R A C E 2 0 2 2 i s t h e f i r s t v i r t u a l s y m p o s i u m c o n d u c t e d b e t w e e n o u r M O U p a r t n e r s
o r g a n i z e d b y t h e F a c u l t y o f E l e c t r o n i c s a n d C o m p u t e r E n g i n e e r i n g ( F K E K K ) ,
organized by the Faculty of Electronics and Computer Engineering (FKEKK),
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(UNSRI), and Universitas Andalas (UNAND). This symposium aims to enhance the

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collaboration between FKEKK and our MoU Partners through knowledge sharing in
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t h e f i e l d o f E l e c t r o n i c s a n d C o m p u t e r E n g i n e e r i n g .
the field of Electronics and Computer Engineering.
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Welcoming Speech
DEAN FKEKK
DEAN FKEKK










Bismillahirrahmanirrahim,

Assalamualaikum Warahmatullahi Wabarakatuh and Salam Sejahtera.

First and foremost, praise be to Allah, the Almighty, the Benevolent, for His blessings have enabled
us to organize the first Symposium on Recent Advances in Electronic and Computer Engineering
(SRACE2022) virtually. Our warmest greetings and welcome to all speakers and participants of
SRACE2022.

SRACE2022 provides a platform for the research expertise and enthusiasts to share their new,
significant, and important findings from their research. We are pleased and grateful to have speakers
and postgraduate students from UTeM and university partners to share their insight on their latest
research achievements. We sincerely hope this symposium can nurture new ideas and encourage
further discussion for future research collaborations. Even though SRACE2022 is conducted online,
we believe this event will offer the same impactful academic sharing and networking opportunities
among all speakers and participants, just like any other physical symposium.

We proudly announce that our symposium theme is "Advancing Electronic & Computer
Engineering for Future". With the involvement of our university partners, we aim to enhance and
develop more research in this field. Therefore, we hope that the knowledge-sharing session
throughout this symposium will increase the impact of their research for future benefits.


Finally, I would like to thank everyone who has rendered much assistance in ensuring the smooth
preparation and success of SRACE2022. I am fully confident that this conference will culminate into
another fruitful venture. Last but not least, I take this opportunity to wish all participants a successful
presentation and discussion. All the best, everyone.

Thank you.



ASSOCIATE PROFESSOR DR. MASRULLIZAM BIN MAT IBRAHIM
Dean
Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer,
Universiti Teknikal Malaysia Melaka













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CHAIRMAN
CHAIRMAN




Welcome Notes






Welcome to SRACE2022!

On behalf of the SRACE2022 organizing committee, I am extremely honored and delighted to
welcome you to this Inaugural Symposium on Recent Advances in Electronic and Computer
Engineering (SRACE2022). This virtual symposium is organized by Fakulti Kejuruteraan Elektronik
dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka and jointly organized by
Amity University Rajasthan, Jaipur (India), King Mongkut’s Institute Technology Ladkrabang,
Bangkok (Thailand), Vellore Institute of Technology, Vellore (India), Universitas Sriwijaya, Palembang
(Indonesia), and Universitas Andalas, Padang (Indonesia).

The main aim of this symposium is to enhance and strengthen our collaboration with the MoU
partners through sharing knowledge activities. The technical program consists of 6 keynote
speeches and 15 invited talks which are divided into 2 parallel oral sessions. I hope that participants
will benefit from the symposium and continue to support the symposium in the future.

The success of this symposium depends very much on our MoU partners who have given us an
excellent commitment in ensuring a smooth implementation of the symposium. Not to forget people
that directly or indirectly have worked with us in planning and organizing the program. Also, the
dedication to the Faculty’s Dean for supporting the symposium and providing us wise advice and
wonderful suggestion and feedback on organizing the symposium. Finally, my special appreciation
goes to the organizing committee members who have worked very hard in realizing and organizing
the symposium.

Thank you everyone and Enjoy the Symposium!



ASSOCIATE PROFESSOR DR. MOHD SHAKIR BIN MD SAAT
Chairman
Symposium on Recent Advances in Electronic and Computer Engineering (SRACE2022)




















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ADVISORY COMMITTEE
















Prof. Dr. Zahriladha Zakaria
Universiti Teknikal Malaysia Melaka (UTeM), Malaysia


Prof. Ts. Dr. M. Iqbal Saripan
Universiti Putra Malaysia (UPM), Malaysia

Prof. Ir. Dr. Rizalafande Che Ismail

Universiti Malaysia Perlis (UniMAP), Malaysia

Prof. Ir. Dr. H. Zainuddin Nawawi

Universitas Sriwijaya (UNSRI), Indonesia

Prof. Dr. Eng. Ir. Gunawarman M. T.
Universitas Andalas (UNAND), Indonesia


Prof. Dr. Shanker Lal Kothari
Amity University, Rajasthan, India

Dr. M. Arun

Vellore Institute of Technology (VIT), India
























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ORGANIZING COMMITTEE









PATRON
Masrullizam Mat Ibrahim, Assoc. Professor, PhD


CHAIRMAN

Mohd Shakir Md Saat, Assoc. Professor, PhD

CO-CHAIR

Mohd Riduan Ahmad, Assoc. Professor, PhD
Hazli Rafis Abdul Rahim, PhD


SECRETARIAT

Siti Amaniah Mohd Chachuli, PhD
Noor Asyikin Sulaiman, PhD





PUBLIC RELATION LOGISTIC & TECHNICAL

Badrul Hisham Ahmad, Professor, PhD Nur Fatihah Azmi, PhD
Siva Kumar A/L Subramaniam, PhD Mohamad Effendy Abidin
Ridza Azri Ramlee, PhD Mohd Adzimnuddin Mohd Nor Azami



PUBLICITY & PROMOTION TECHNICAL PROGRAM

Norbayah Yusop, PhD Azmi Awang Md Isa, Assoc. Professor, PhD
Shamsul Ammar Shamsul Baharin Siti Fatimah Sulaiman, PhD
Khairun Nisa Khamil, PhD
Mawarni Mohamed Yunus, PhD


























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COLLABORATORS























VELLORE INSTITUTE OF
TECHNOLOGY AMITY UNIVERSITY RAJASTHAN
Jaipur, India
Vellore, India




























UNIVERSITAS ANDALAS UNIVERSITAS SRIWIJAYA
Padang, Indonesia Palembang, Indonesia


























KING MONGKUT’S INSTITUTE
TECHNOLOGY LADKRABANG
Bangkok, Thailand

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Keynote Speaker 1
Biography
Currently Assoc. Professor Dr. Zoinol Abidin bin Abd Aziz has been
pointed as Director, Centre of Excellent (CoE) of Deputy Vice-Chancellor's
Office (Research and Innovasion), Universiti Teknikal Malaysia Melaka . He
is an Associate Professor of Electronic Engineering Department, Faculty
of Electronic and Computer Engineering (FKEKK), UTeM since 2016. He
received his PhD in Electrical Engineering (Telecommunication) from
Universiti Teknologi Malaysia (UTM), Johor, Malaysia. His research area(s)
in Microwave Engineering, Antenna Design and Microwave Imaging
System. He has published more than 200 journals and conference
proceedings. He is a Member of IEEE and currently served as executive
Assoc. Profesor Dr. Zoinol member of IEEE AP/MTT/EMC (Malaysia) Joint Chapter.
Abidin Abd Aziz
Faculty of Electronic & Computer
Engineering (FKEKK),
Universiti Teknikal Malaysia Melaka
(UTeM), Malaysia
[email protected]




Microwave Imaging System: Spatial Detection Challenge!


To date, many imaging techniques are available, such as X-rays, Computerized Tomography
(CT) scans, Magnetic Resonance Imaging (MRI), and Microwave Imaging Systems (MWI). The
MWI system is the safest and lowest cost compared to other systems. MWI has three
configurations, namely Monostatic, Bistatic, and Multistatic. A multistatic configuration is
required to detect the location of a foreign object inside a material because although the
monostatic and bistatic configurations can provide 360-degree coverage, they are time-
consuming due to the mandatory use of switching. Furthermore, this process also needs
complex signal processing algorithms to combine receive signal. The MWI system also
depend on the capability of the used sensors. The sensors will determine the characteristic of
microwave signal propagation from transmitter to receiver. The selection of the sensors is
very important for spatial detection in MWI system. This is due to the accuracy of the system

will depend on the transmission wave in the object or material under test.























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Keynote Speaker 2
Biography
Dr. Eng. Muhammad Ilhamdi Rusydi received bachelor degree in Electrical
Engineering from Institute of Technology Bandung, Bandung City, Indonesia,
in 2004. He implemented PID adaptive algorithm to control a synchronous
mobile robot for his bachelor degree. In 2005, he was accepted as a young
lecturer in Electrical Engineering Department, Faculty of Engineering,
Universitas Andalas, Padang City, Indonesia. He returned to Institute of
Technology Bandung to get the master degree in 2008 at the same
department as his undergraduate. At that time, he applied visual servoing
algorithm to control manipulator robot based on image. He He started
teaching Control System as his first class in Universitas Andalas in 2009. In
2011 he started doctoral program in Mechanical and Civil Engineering, Faculty
of Engineering, Gifu University, Gifu City, Japan. He continued study about Assoc. Professor Dr.
method to control robot manipulator, especially implementation of biosignal Muhammad Ilhamdi Rusydi
as the alternative method to control robot for assistive technology. He Faculty of Engineering,
finished doctoral degree in 2014, in Gifu University.
Universitas Andalas (UNAND),
Dr. Eng. Muhammad Ilhamdi Rusydi was appointed as head of Digital Indonesia
Electronics laboratory in 2015. Then, he was selected as the head of master [email protected]
degree department in Electrical Engineering Departmen in 2017. Since 2020,
he has been running the Electrical Engineering Department, Faculty of
Engineering, Universitas Andalas as the Head of Department.







Alternative Method to Control Wheelchair



Nowadays, patients with special needs worldwide continue to grow, either due to aging,
disease, accidents, natural disasters, alcohol, drug, or congenital disorder. People with special
needs have many challenges in life, such as difficulties in getting a decent economy,
education, access to the public area, and even carrying out daily activities. They usually need
help from others, causing dependence on others. Especially people with disabilities who
struggle to use their fingers will experience many problems in controlling equipment such as
wheelchairs that are currently traditionally designed to be operated using their fingers.
Therefore, alternative methods to replace finger in controlling wheelchair is being developed
by many researchers at this time. This study developed four scenarios to control wheelchair:
eye gestures (electrooculography), hand gestures, brain activities (electroencephalography),
and head gestures. All methods have high accuracy and advantages; however, fatigue is the
main challenge. Consequently, the alternative approaches to controlling wheelchair need to
be combined with the alternative input signals to prevent fatigue of the body organ due to
consistent exploitation for wheelchair control.










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Keynote Speaker 3 Biography


Muhammad Abu Bakar Sidik obtained his Bachelor of Engineering (Electrical)
from Universitas Sriwijaya (Unsri). Afterwards, he obtained Master and Ph.D.
degree from the Institute of High Voltage and High Current (IVAT), Universiti
Teknologi Malaysia (UTM). Currently, he is an Associate Professor at
Department of Electrical Engineering, Faculty of Engineering, Unsri. He is
registered as IEEE member and actively involved in organizing IEEE
conferences. He is also an Editorial in Chief a journal under Unsri. From
2010 to 2021 he was a visiting researcher at IVAT-UTM. His research
interests are atmospheric discharge, discharge phenomena in high voltage
systems, and electrical safety.

Assoc. Professor Dr. Muhammad
Abu Bakar Sidik
Faculty of Engineering,
Universitas Sriwijaya, Indonesia
[email protected]


Characteristics of South Sumatra NBE and Classification

using Random Forest


Narrow Bipolar Events (NBEs) is a unique type of lightning that occurs in a duration of around
20 µs. NBEs are also generally identified as IC Flash lightning flashes in the form of a single
pulse. However, some studies also say NBEs can also occur in CG Flash. This study aims to
observe the Characteristics of Narrow Bipolar Events from tropical thunderstorms in the
South Side of the Equator Line which occurs 230 km from the recording station in

Palembang, Indonesia (2˚52 '- 3˚5 LS) collected in the last week of January 2020. Recorded
data are then selected based on criteria and characteristic parameters that have been
determined based on previous studies. The results of this study indicate that the
characteristics of NBEs in the Palembang region occur at an average duration of 26.28 µs
with a rise time of 3.50 µs, Zero Crossing Time of 7.44 µs, Full Width at Half Maximum 3.21 µs
and Overshoot / Peak Amplitude Ratio of 0.3730 for Negative polarity and an average
duration of 20.10 µs with a rise time of 2.03 µs, Zero Crossing Time 4.83 µs, Full Width at Half
Maximum 2.34 µs and an Overshoot / Peak Amplitude Ratio of 0, 41 for Positive polarity.
Based on the comparison of the results of this study with previous studies the authors
assume that the characteristics of NBEs are unique and cannot find an accurate pattern
related to the influence of the geographical location of the region. Afterwards, a study using
the Random Forest classification method from Phyton was carried out as a commencement
pace to develop a real-time classification system.













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Keynote Speaker 4
Biography


Dr. Thanavit received B. Eng. in information engineering from King
Mongkut's Institute of Technology Ladkrabang, Thailand in 2013,
M. Eng. in information engineering from King Mongkut's Institute of
Technology Ladkrabang, Thailand in 2016, and D. Eng. in Electrical
Engineering from King Mongkut's Institute of Technology
Ladkrabang in 2021. He is a lecturer and program coordinator of IoT
system and information engineering program, Department of
Computer Engineering, School of Engineering, King Mongkut's
Institute of Technology Ladkrabang, Thailand. His main research
interests are in the area of the Internet of things, embedded
systems, and signal processing applications.
Dr. Thanavit Anuwongpinit
School of Engineering,
King Mongkut's Institute of Technology
Ladkrabang, Thailand
[email protected]





Internet of Things System for Saline Water Quality in
Bang Krachao Area in Thailand



Insufficient fresh water is one factor that causing in consumption, industry, agriculture, and
ecosystem problems. One is the seawater intrusion which trend to increase all the time. The
important factor is the variable of the season, i.e., in the dry period, seawater level is higher
than surface water, causing seawater intrusion. In the rainy season, excess precipitation leads
to flooding. The seawater intrusion affects the quality of freshwater both surface and
groundwater. “Bang Krachao” Samut Prakan locates at the bend of the Chao Phraya River.
The Thailand government defined the Bang Krachao is a green area for plant cultivation.
However, the seawater problem and changing land use behavior cause the low quantity and
quality of agricultural products. This research proposes the Internet of Things (IoT) system
that can be applied to salinity level monitoring to help farmers use the suitable water for
crops and gather water data for the prediction of salinity water levels by machine learning
technique. The system is developed to fix station and portable device for monitoring salinity
levels. The station is designed by using an IoT gateway to read data from water level and
salinity sensors. Another system is a portable salinity monitoring system that is designed by a
low-cost microcontroller to read data from a salinity sensor. Both systems transmit data via

4G LTE communication and Message Queuing Telemetry Transport (MQTT) protocol to the
server and display salinity water values and locations in the web-application dashboard using
the Node-RED application. A web application is designed to offer everyone to observe a
salinity level for people in Bang Krachao area to plan the use of water for cultivation and
consumption. An alert notification of this system is applied with Line notify APIs to alert the
high salinity value of the area.





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Keynote Speaker 5 Biography


Kanad Ray has been a Professor of Physics and Electronics &
Communication, and presently working as Head of the Department of
Physics at the Amity School of Applied Sciences, Amity University Rajasthan
(AUR), Jaipur, India. He is also a visiting Professor to Benemérita Universidad
Autónoma de Puebla, Mexico and an associated researcher with Faubert
Lab, Université de Montréal, Canada. He has done his M.Sc. and Ph.D. in
Physics from Calcutta University and Jadavpur University, West Bengal, India,
respectively. Prof. Ray’s current research interests include Plasmonics,
cognition, communication, electromagnetic field theory, antenna & wave
propagation, microwave, computational biology, and applied physics. He has
been serving as an editor of various Springer Book Series. He was an
Associated Editor of Journal of Integrative Neuroscience published by IOS
Professor Dr. Kanad Ray Press, Netherlands. He is a senior member of IEEE. He has visited
Amity School of Applied Sciences, Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland,
Amity University Rajasthan, Belgium, South Africa, Japan, Malaysia, Thailand, Singapore etc. for different
Jaipur, India academic reasons.
[email protected]



Wireless Communication using Nanoplasmonic Antennas


Plasmonic micro-antenna or optical nanoantennas are designed and applied using gold,
silver, and graphene materials. They operate in the frequency range of THz, so wavelength (λ)
is in µm, where the connection between light and microwave can be extended for broader
communication bandwidth. The main difference between RF microwave and the plasmonic
antenna is in their operating frequency range and communication aspect. Plasmon wave is

generated by the interaction between light and free electrons of the plasmonic metal (cells).
By using the electron spin control, the quantum communication aspect can be applied using
the plasmonic circuit. The hybrid communication circuit consists of a microring resonator,
multiplexer, demultiplexer, coupler, etc, which is the integrated circuit. Plasmonic micro-
antenna using the circuit element is a new era of research. The quantum device aspect using
the plasmonic circuit can be applied when it is the spin orientation control by the space-time
control operation, which will be included in the investigation.

























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Biography Keynote Speaker 6

Dr. R. Sujatha is an Associate Professor in the Department of Embedded
Technology, IoT and Sensors Division, School of Electronics Engineering, VIT
University, Vellore Campus. She received her Ph.D from Anna University,
Chennai in the field of Information security. She has 22 years of teaching and
research experience in reputed Institutions. Her research area includes
Industrial Internet of Things, Data Engineering in Cloud and Information Security
in cloud platform. She received speaker Award at UK Cloud Asia Summit-2019,
Cambridge University, UK. Organized Industry Academia Conclave in IoT domain
at VIT and a symposium on “AI and Cloud computing” in Purdue University,
Indiana Polis, USA. Patent sanctioned in the field related to bandwidth
optimization for 5G communication platform. Has delivered technical lectures in
cutting edge technologies for National and International students, faculty
community. She is a lifetime member of IEEE, IETE professional society and has Assoc. Professor Dr. R. Sujatha
published research articles in peer reviewed Academic International Journals School of Electronics Engineering,
and Conferences. Received DST SERB CRG grant for IoT-LoRa enabled detection Vellore Institute of Technology (VIT), India
and prediction of pollutants in ground water in an open dumping yard. Received [email protected]
Seed Grant for LoRa enabled water pipeline monitoring and green house
management. She is a AWS certified cloud computing practitioner and trainer.
Completed a consultancy project in Industry automation through cloud based
environmental factors monitoring for Transcend Solar Systems, Chennai.
Currently her focus is on investigating how IoT and AI can be applied for health
care sector with long range data connectivity using 5G, LoRa networks and Block
chain.
Assessment of Fluoride Contamination in Groundwater using IoT-LoRA
Edge Computing and Machine Learning Techniques

Water is necessary for life, but water pollution is a serious threat that we face today. Water is used for a
variety of purposes, including drinking, agriculture, and industry. Water quality has a direct impact on public
health and the environment. The presence of various types of pollutants, ranging from organics to heavy
metals, turbidity, hardness, and chemical concentrations, can have serious environmental and marine life
consequences. Water quality degradation can endanger human health, vegetation, aquatic life, and entire
eco-systems. Fluoride levels in water are high in some parts of the world. Fluoride contamination poses a
serious threat to human health when compared to arsenic contamination. Fluoride consumption above a
certain threshold level causes skeletal fluorosis, dental fluorosis, and, in some cases, blindness. The
characteristics of ground water quality can be assessed using a LoRa edge nodes and gateway to correlate
fluorosis prevalence in drinking water, irrigation water, and the health of residents in the region of interest.
Because the LoRa edge nodes can be directly connected to the outdoor gateways, a wide coverage area of
the groundwater level is possible. Before validating the results, LoRa edge node sensors will be calibrated on a
regular basis. By increasing the number of gateways and nodes, the proposed water fluoride contamination
monitoring using LoRa edge nodes can be scaled. Each gateway can handle an unlimited number of edge
nodes and listen to multiple uplink frequencies at the same time. This will increase the battery life of the in-
situ water contamination detection sensors by ten years, lowering development and replacement costs. The
fluorosis prevalence in drinking and irrigation water can be estimated using the salinity and electrical
conductivity values measured by the sensor node. We can relate the health conditions of residents in the
region of interest to the fluoride level in the groundwater and the amount of daily water consumption by the
residents. Using LoRa Edge nodes, groundwater samples will be collected in the in-situ region and analysed
for TDS, salinity, and EC levels. Using the processed data sets and an interactive real-time visualisation
dashboard, an optimised ensemble classifier-based machine learning model will be developed to predict the
Water Quality Index (WQI) and compare it with WHO standards. The delivery pipeline includes all stages of
edge detection, noise filtering, and feature extraction.
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PROGRAM TENTATIVE


Webex link: https://bit.ly/3RYDeaZ
Password: srace2022





Time Details


9:00 am - 9:10 am Welcoming Speech from the Dean



Keynote 1: Assoc. Professor Dr. Mohamad Zoinol Abidin Abd.
9:10 am - 9:50 am Aziz (Universiti Teknikal Malaysia Melaka, Malaysia)
Title: Microwave Imaging System: Spatial Detection Challenge!




9:50 am - 10:30 am Keynote 2: Assoc. Professor Dr. Muhammad Ilhamdi Rusydi
(8:50 am - 9:30 am (Universitas Andalas, Indonesia)
Indonesia Time) Title: Alternative Method to Control Wheelchair



Keynote 3: Assoc. Professor Dr. Muhammad Abu Bakar Sidik
10:30 am - 11:10 am
(9:30 am - 10:10 am (Universitas Sriwijaya, Indonesia)
Indonesia Time) Title: Characteristics of South Sumatra NBE and Classification using Random
Forest



Keynote 4: Dr. Thanavit Anuwongpinit (King Mongkut’s
11:10 am - 11:50 am
(10:10 am - 10:50 am Institute Technology Ladkrabang, Thailand)
Thailand Time) Title: Internet of Things System for Saline Water Quality in Bang Krachao
Area in Thailand


11:50 am - 12:00 pm BREAK



12:00 pm - 12:40 pm Keynote 5: Professor Dr. Kanad Ray (Amity University, India)
(9:30 am - 10:10 am Title: Wireless Communication using Nanoplasmonic Antennas
India Time)



Keynote 6: Assoc. Professor Dr. R. Sujatha (Vellore Institute of
12:40 pm - 13:20 pm Technology, India)
(10:10 am - 10:50 am
India Time) Title: Assessment of Fluoride Contamination in Groundwater using IoT-LoRA
Edge Computing and Machine Learning Techniques


13:20 pm - 14:30 pm BREAK




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PROGRAM TENTATIVE


Parallel Session


Time BREAK-OUT ROOM 1 BREAK-OUT ROOM 2

Chairperson: Thanigai Anbalagan Chairperson: Shamsul Ammar



Invited Speaker 1: Invited Speaker 2:
14:30 pm - 14:50 pm Sankar Ganesh Sasikumar P
(12:00 pm - 12:20 pm Vellore Institute of Technology Vellore Institute of Technology
India Time)
Title: Synthetic Data for AI System Title: Mobile Device, Platform and Application


Invited Speaker 3: Invited Speaker 4:
14:50 pm - 15:10 pm Kathirvelan J
(12:20 pm - 12:40 pm Vellore Institute of Technology Pushpendra Singh
Amity University
India Time)
Title: Ethylene Sensor: Sensor Element Fabrication, Title: A Multiband Tree-shaped Microstrip Antenna for
Prototype Development and Validation of Sensor for
Fruit Ripening Application Wireless Communication


Invited Speaker 5: Invited Speaker 6:
15:10 pm - 15:30 pm Lokesh Kulhari Pushpendra Singh
(12:40 pm - 13:00 pm Amity University Amity University
India Time)
Title: Simulation for Thermal Performance of a LTCC Title: The Boundary Blade Edge Shaped Microstrip
Micro-reactor for RT-PCR in Detection of SARS-CoV-2 Patch Antenna for X Band Application

Invited Speaker 7: Invited Speaker 8:
15:30 pm - 15:50 pm Salisa ‘Asyarina Ramadhani Yolanda Farmayeni
(14:30 pm - 14:50 pm Universitas Andalas Universitas Andalas
Indonesia Time) Title: Encephalography-based Brain-Computer Title: Design of Wheelchair Controlling using Leap


Interface Design for Wheelchair Control using the Motion Sensor with Artificial Neural Network
Support Vector Machine Classification Method Classification Method as Wrist Gesture Recognition


15:50 pm - 16:10 pm Invited Speaker 9: Invited Speaker 10:
Aulia Novira
Syahroni
(14:50 pm - 15:10 pm Universitas Andalas Universitas Andalas
Indonesia Time)
Title: Fuzzy Method for Wheelchair Control Maneuver Title: Combination of Eye Blink and Bite to Control Arm
using Leap Motion as Wrist Recognition using Electroencephalography

Invited Speaker 11: Invited Speaker 12:
16:10 pm - 16:30 pm Nur Farahin Binti Abdul Halim Wiwin A. Oktaviani Anwar
(15:10 pm - 15:30 pm Universiti Teknikal Malaysia Melaka Universitas Sriwijaya
Indonesia Time)
Title: A Review of Basic Principle of Interferometry
Title: Automatic Classification of Arcus Senilis- Lightning Detection System and Construction of Buffer
NonArcus Senilis using Convolutional Neural Network
Circuit for Measuring Lightning Vertical Electric Field
Invited Speaker 13: Invited Speaker 14:
Mohd Adzimnuddin Mohd Nor Azami Shamsul Ammar Shamsul Baharin
16:30 pm - 16:50 pm Universiti Teknikal Malaysia Melaka Universiti Teknikal Malaysia Melaka

Title: Design of Multiband Antenna by using Double Title: Microwave Radiation Associated with Positive
Slot Technique Narrow Bipolar Events

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Invited Speaker 1



Synthetic Data for AI System

Sankar Ganesh
Department of Communication Engineering, School of Electronics Engineering (SENSE), Vellore Institute of Technology,
Vellore, 632014, India
Corresponding email: [email protected]
Data is very important for an Artificial system. This throws more challenges in handling huge volume of data,
biased data and data privacy. This leads to realizing the importance of synthetic data .Synthetic data is artificial
computer-generated data that can stand-in for data obtained from the real world. The usage of synthetic data
will be a catalyst to ensure robustness in AI system than with limited and restricted original data.

Keywords: Artificial Intelligence, data biased, synthetic data








Invited Speaker 2




Mobile Device, Platform and Application
Sasikumar P
Department of Embedded Technology, School of Electronics Engineering (SENSE), Vellore Institute of Technology,
Vellore, 632014, India
Corresponding email: [email protected]

Mobile devices are the future of computing. The associated platforms give developers a single environment
possessing all of the tools developers need to create a mobile application. Most platforms are geared toward
creating iOS or Android applications, but others are cross-platform applications and provide an environment
with specific native tools. Others will possess hybrid functionality and tools to create applications across multiple
operating systems. Companies in need of a mobile application provide their developers with a platform to write,
manage, and deploy mobile applications. This process usually takes place entirely within a development or IT
department but can occur throughout a small company or on an individual basis. The products can be used to
create anything from games to e-commerce applications. Mobile development platforms possess similar
characteristics to integrated development environments (IDE) but are geared specifically toward mobile
applications. Many mobile development platforms also possess tools for mobile app testing, mobile app
optimization, and mobile app debugging. To qualify for inclusion in the Mobile Development Platforms category,
a product must: Have a mobile-specific development focus, Possess front-end mobile development tools for
UI/UX creation, Possess back-end development tools for data services, Possess tools for mobile application
testing, Provide a software developer’s kit with additional tools for actions such as collaboration, debugging, or
code analysis.

Keywords: Mobile development platforms, application, integrated development environment











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Invited Speaker 3



Ethylene Sensor: Sensor Element Fabrication, Prototype Development and
Validation of Sensor for Fruit Ripening Application
Kathirvelan J
Department of Sensor and Biomedical Technology, School of Electronics Engineering (SENSE), Vellore Institute of Technology,
Vellore, 632014, India
Corresponding email: [email protected]

A prototype laboratory setup for detecting ethylene (C2H4) in ppm level employing a chemical sensor made of
multiwalled carbon nanotubes (MWCNTs) has been developed. The proposed reversible chemo resistive
ethylene sensor is fabricated using Kapton as the substrate onto which carbon nanotubes are coated using
thick film technology. Interdigitated (IDT) silver electrodes are printed using piezo head based ink-jet printing
technology. The increases in electrical resistance of the sensor element are measured on exposure to ethylene
for different ethylene concentrations using a potentiostat and data acquisition system. The increase in
resistance of the calibrated sensor element on exposure to ethylene (analyte) is about 18.4% at room
temperature for 50 ppm ethylene concentration. This change in resistance is reversible. Our sensor element
exhibits a better performance than those reported earlier (1.8%) and it has got the rise and fall time of 10 s and
60 s, respectively. The working principle of this physical sensor is based on IR thermal emission detection. An IR
thermal source is tuned for emitting 10.6 μm wavelength which reaches a silicon temperature detector capable
of detecting temperature very accurately. Ethylene from fruit sample is introduced in between the IR source and
silicon temperature detector; it absorbs the 10.6 μm IR radiation at which ethylene shows maximum absorption.
It results in decrease in temperature on exposure to analyte, correlated to electrical signal (mV) which is a direct
measure of ethylene released from the fruits.

Keywords: Ethylene sensor, IR thermal emission detection, multiwalled carbon nanotubes




Invited Speaker 4



A Multiband Tree-shaped Microstrip Antenna for Wireless Communication

Pushpendra Singh¹, Kanad Ray²*, Badrul Hisham Ahmad³, Preecha Yupapin⁴, Anirban Bandyopadhyay¹
¹National Institute for Materials Science, Tsukuba, Japan
²Amity University Rajasthan, India
³University Teknikal Malaysia Melaka (UTeM), Malaysia
⁴Institute of Vocational Education Northeastern 2, Sakonnakhorn, Thailand
Corresponding email: [email protected]

In this paper, a multiband tree-shaped micro-strip antenna is presented. The proposed antenna is able to
operate at multiple frequencies falling under the X and Ku band. The antenna geometry resonates at
frequencies of 9.3 GHz, 10.07 GHz, 11.76 GHz and 13.16 GHz respectively, covering the various applications
such as satellite communications, radar, and terrestrial broadband, space communications, amateur radio. Tree
shaped micro-strip antenna structure is being designed using FR-4 (epoxy) and has improved radiation
performance as compared to conventional shapes.



Keywords: Tree-shaped, finite ground, high gain, current distribution






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Invited Speaker 5


Simulation for Thermal Performance of a LTCC Micro-reactor for RT-PCR in
Detection of SARS-CoV-2


Lokesh Kulhari¹,², Nikhil Suri², Badrul Hisham Ahmad³, Preecha Yupapin⁴, Kanad Ray¹*
¹AMITY University Rajasthan, Jaipur, Rajasthan 303002, India
²CSIR- Central Electronics Engineering Research Institute, Pilani, India- 333031,
³Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
⁴Department of Electrical Technology, School of Industrial Technology, Institute of Vocational Education Northeastern 2,
Sakonnakhorn, 47000 Thailand
Corresponding email: [email protected]


In present paper, thermal simulation of LTCC based micro-chamber has been performed which is a key part of
RT-PCR device. The RT-PCR device plays an important role in SARS-CoV-2 testing. The rRT-PCR system requires
three different thermal cycles for DNA amplification which takes part in detection of SARS-CoV-2. The thermal
cycle can be equipped using a heater structure in the chamber. A new LTCC based technique to develop micro-
chamberhas been designed and simulation has been performed using COMSOL to optimize thermal properties.
The heater and temperature sensor were located outside the reaction chamber. A platinum based pattern as
PTC temperature extra sensor is used in temperature measurement.

Keywords: LTCC Micro-reactor, COVID-19, polymerase chain reaction





Invited Speaker 6




The Boundary Blade Edge Shaped Micro Strip Patch Antenna for X Band
Application


Pushpendra Singh¹, Kanad Ray²*, Badrul Hisham Ahmad³, Preecha Yupapin⁴, Anirban Bandyopadhyay¹
¹National Institute for Materials Science, Tsukuba, Japan
²Amity University Rajasthan, India
³University Teknikal Malaysia Melaka (UTeM), Malaysia
⁴Institute of Vocational Education Northeastern 2, Sakonnakhorn, Thailand
Corresponding email: [email protected]


A simple design of microstrip patch antenna with blade edge shape is proposed in this paper. It is based on the
annular ring with particular type of the blade shaped edges. Such, proposed antenna has a wide range of the X
band applications such as terrestrial, radar and satellite communication. The model antenna has a compact
structure with the total size 25 x 20 mm, etched over the FR-4 substrate with the dielectric constant ∈ = 4.54.
The design is simulated using Computer Simulation Technology in a special tool Microwave Studio; the proposed
antenna geometry offers the stable radiation pattern, high gain factor and the reduce lobe level.

Keywords: Microstrip patch antenna, annular ring, blade edge shape, X band application










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Invited Speaker 7




Encephalography-based Brain-Computer Interface Design for Wheelchair
Control using the Support Vector Machine Classification Method
Salisa ‘Asyarina Ramadhani
Department of Electrical Engineering, Faculty of Engineering, Andalas University, Padang, Indonesia
Corresponding email: [email protected]
Brain-Computer Interface (BCI) acts as an intermediary between the human brain and the computer. Through
BCI, users can manage external devices independently through brain activity. The BCI device commonly used is
an electroencephalograph (EEG) sensor which is recorded through electrodes placed on the scalp. The EEG
sensor can retrieve data using a 10-20 system. EEG signal has a very low polarity and contains a lot of noise, so it
becomes a challenge to determine the right classification so that the output signal can be recognized properly.
This study aims to classify the EEG signal and use it for controlling the wheelchair. The data to be processed was
taken from 10 respondents which produced 2000 data consisting of right blinking, left blinking, blinking both
eyes, biting, and nodding signals. From the 2000 data, 1500 data are assigned for training data, and 500 others
are assigned for test data. The signal from the EEG reading is classified using the Support Vector Machine (SVM)
method with signal area features. The signal area that is read on channels FP1, FP2, C3, C4, P7, P8 O1, and O2
on the EEG sensor is classified after the signal passes the threshold of 0.6 for channels FP1 and F2, and 0.1 for
other channels. Data processing is carried out using a python language program and tested to obtain system
performance accuracy.

Keywords: Electroencephalograph, brain, signal-classification, SVM, python


Invited Speaker 8




Design of Wheelchair Controlling using Leap Motion Sensor with Artificial Neural
Network Classification Method as Wrist Gesture Recognition
Yolanda Farmayeni
Department of Electrical Engineering, Faculty of Engineering, Andalas University, Padang, Indonesia
Corresponding email: [email protected]

Disability is a condition that makesa person cannot do certain activities normally. One of it is physically
disabledthat make the person with this condition do not have complete limbs, so they need assistive devices to
carry out their activities. One of the assistive devicesfor physical disable,especiallyfor people with leg disabilities
is a wheelchair that used to mobilization. The wheelchair that we used is an electric wheelchair drives by an
electric motor. The wheelchair will be controlled by a leap motion controller sensor that can obtain right-hand
coordinates consisting of pitch on the x-axis, yaw on the y-axis, and roll on the z-axis. Hand coordinates of the
leap motion sensor are used as the basis to classify the wheelchair control gestures. As for the gestures we
used the Artificial Neural Network (ANN) method which is a computational method based on a biological neural
networkand we do a supervised learning by using multilayer network that has 3 input layers, 5 hidden layers and
anoutput layers. For the data, we used 6100 dataconsist of 3600 data training and 2500 data testing. The result
of the classification of the ANN method become the basis for implementing wheelchair movements for stop,
forward, backward, turn left and turn right. The implementation using processing software as the user interface
to help user use the wheelchair.


Keyword: Physical disability, leap motion, ANN, wheelchair




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Invited Speaker 9




Fuzzy Method for Wheelchair Control Maneuver Using Leap Motion As Wrist
Recognition
Syahroni
Department of Electrical Engineering, Faculty of Engineering, Andalas University, Padang, Indonesia
Corresponding email: [email protected]


People with disabilities are those who are unable to carry out normal daily activities. Physical disability consists
of several types, physically disabled is one of them. Physical disability is a condition of the body that has
movement disorders caused by abnormalities or defects in the muscle, bone and joint system that are
congenital, sick or due to accidents. People with physical disabilities have the right to get facilities in carrying out
daily activities, especially for moving. Electric wheelchairs are one of the facilities that help the physically disabled
in moving. An electric wheelchair requires a system and control device in order to operate, one of which is used
in this study is Leap Motion, with the Fuzzy Logic method as a leap motion sensor reading to recognize wrist
movements. In addition to the system to operate, in designing a wheelchair it is necessary to pay attention to its
ability to maneuver in small and limited spaces. So to maneuver, the design of the wheelchair turning kinematics
and the stability of the wheelchair in maneuvering must be made and tested. By testing on a track with three
obstacles, the wheelchair in this study was able to maneuver stably, faster and more smoothly with a travel time
of 56.394 seconds.


Keyword: Disability, Fuzzy logic, leap motion, maneuver, Ackermann steering kinematics, electric wheelchair





Invited Speaker 10




Combination of Eye Blink and Bite to Control Arm using Electroencephalography

Aulia Novira
Department of Electrical Engineering, Faculty of Engineering, Andalas University, Padang, Indonesia
Corresponding email: [email protected]


A person with disability is someone who has physical limitations. These limitations can make work hampered.
Robotic arm is one of the tools that can help people with disabilities. Robotic arm will be controlled using a BCI
signal based on Electroencephalography (EEG) in this study. The signals to be studied are the blinking of the
eyes, left blinking, right blinking and jaw contraction, with the output of robotic arm movement. There are 3696
data from 11 participant that will be classified using the threshold method with the feature EEG signal
amplitude. The results of the analysis of the threshold value obtained that the best threshold value for the
blinking signal is 0.6 mV with an accuracy of 98.58% while the jaw contraction is 0.4 mV with an accuracy of
93.34%. Seven healthy and inexperienced subjects controlling machines using BCI participated in testing the
system by operating a robotic arm. The movement results of the robot with an average time of doing the task
13.86 seconds. EEG can be an alternative for controlling robotic arms.

Keyword: Disability, electroencephalography (EEG), threshold







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Invited Speaker 11


Automatic Classification of Arcus Senilis-NonArcus Senilis using Convolutional Neural
Network

Nur Farahin Abdul Halim¹, Ridza Azri Ramlee¹*
¹Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal,
Melaka, Malaysia
Corresponding email: [email protected]

Cholesterol is a type of lipid found in the human body and is susceptible to abnormalities. It can be detected via
lipid profiling through blood sampling. In addition, cholesterol can be detected through the presence of a
"sodium ring" in the eye iris called the corneal arcus (CA), presenting a new preliminary detection method that is
less invasive. However, only a few studies on CA used the deep learning approach to detect cholesterol.
Therefore, this paper proposed a non-invasive method in detecting cholesterol based on convolutional neural
network (CNN) model representation using 300 normal and 300 abnormal iris images from UBIRIS and medical
web images. In this work, Contrast-Limited Adaptive Histogram (CLAHE) and unsharp masking process was
applied first on CA images to enhance the quality of CA images. To detect the CA images, the dataset was
trained and tested using three pre-trained CNN architectures; one is created from scratch, another are Resnet-
50 and VGG-19 architectures that were fine-tuned to the CA images. The best result was exhibited by proposed
pre-trained CNN model created from scratch with 10-fold cross-validation that produced high average detection
accuracy at 98.81%. Thus, deeper network implementation is recommended in the future to further improve CA
localization for optometrists used in their daily clinical tasks in detecting cholesterol.

Keywords: Cholesterol, corneal arcus, Convolutional Neural Network (CNN), deep learning, non-invasive





Invited Speaker 12



A Review of Basic Principle of Interferometry Lightning Detection System and
Construction of Buffer Circuit for Measuring Lightning Vertical Electric Field


Wiwin A. Oktaviani Anwar
Faculty of Engineering, Sriwijaya University, Palembang, Indonesia
Corresponding email: [email protected]

This paper presents the principle of the VHF Interferometry system as a lightning location detection system. This
detection system detects the direction or location of lightning strikes in azimuth and elevation based on the
phase difference in the frequency spectrum of a pair of antennas. The lightning sensor used to measure the
electromagnetic field consists of a parallel plate antenna equipped with a buffer circuit. The buffer circuit
presented in this paper consists of three main circuits: the filter circuit, IC, and impedance circuit. The quality
and cleanliness of the signal to be analysed determine the level of system accuracy. Signal denoising techniques
such as linear fit, crosscorrelation, and wavelet transform methods are also discussed in this paper, with a more
in-depth discussion of the latter. The development of interferometry techniques should be accompanied by
improvements in signal denoising techniques, increased data storage capacity and reliable storage media.



Keywords: Interferometry technique, lightning location detection system, VHF, buffer circuit, signal denoising






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Invited Speaker 13



Design of Multiband Antenna by using Double Slot Technique

Mohd Adzimnuddin Mohd Nor Azami¹, Mohamad Zoinol Abidin Abd. Aziz¹*, Afnan Hamed Mohammed Al-Aidaros¹
¹Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal,
Melaka, Malaysia
Corresponding email: [email protected]

This paper presents an Ultra-Wideband (UWB) dual-notch multiband antenna for wireless application. The proposed
antenna design is evolved from four successive stages using a low cost of FR4 substrate with dielectric constant value of 4.4.
The antenna was design based on the planar circular patch with microstrip feed line structures. Two slots that shaped like
“U” and “J” shaped managed to created two bands rejection or notch at 2.76 to 3.52 GHz and 4.36 to 5.35 GHz. The operating
bands for the proposed antenna are at 2.5, 3.9, 6.5 and 8.7 GHz and the gain of the peaks are 0.24, 2.53, 4.12 and 5.75 dB
respectively. As the result, this design showed that it manages to generate a multiband antenna and can be used in
numerous microwave purposes.



Keywords: Ultra-wideband, dual notch, multiband antenna, planar circular patch, band rejection



Invited Speaker 14



Microwave Radiation Associated with Positive Narrow Bipolar Events

Shamsul Ammar Shamsul Baharin¹, Mohd Riduan Ahmad*¹, Muhammad Haziq Mohammad Sabri², Ammar Alammari¹, Ammar Ahmed Nasser
Al-Kahtani³, Gaopeng Lu⁴, Zen Kawasakie⁵, Vernon Cooray⁶
¹Atmospheric and Lightning Research Laboratory, Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Kejuruteraan
Elektronik dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
²Institute of Power Engineering (IPE), Universiti Tenaga Nasional (UNITEN), Jalan IKRAM-UNITEN, 43000 Kajang Selangor, Malaysia
³Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Jalan IKRAM-UNITEN, 43000 Kajang Selangor, Malaysia
⁴Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
⁵Graduate School of Engineering, Osaka University, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan
⁶Ångström Laboratory, Division for Electricity, Department of Engineering Sciences, Box 534, S-75121, Uppsala University, Sweden
Corresponding email: [email protected]

In this paper, we examined seven isolated positive Narrow Bipolar Events (NBEs), one positive NBE that initiated an IC flash
progressed to a single-stroke Cloud-to-Ground (CG) flash, and one positive NBE that initiated an IC flash. Seven NBEs have
been accompanied by significant Very-High Frequency (VHF) and microwave radiation pulses. We recorded all NBEs from two
measurement stations (ST1 and ST2) separated at 13.3 km apart which consisted of fast antenna (FA) and slow antenna (SA)
sensors, a magnetic field (B-field) sensor, a VHF sensor (60 MHz), and a microwave sensor (0.97 GHz). The waveforms were
sampled at 2.5 GHz (400 ps). The key finding is that all microwave radiation pulses have been found to precede both the VHF
radiation pulses and NBEs with average lead time of 63 ± 39 ns and 122 ± 143 ns, respectively. In comparison to stepped
leader pulses or SLPs (conventional breakdown), the average lead time of microwave to VHF for NBEs (fast breakdown) was
88% faster compared to the average lead time of microwave to VHF for SLPs. Moreover, the average lead time of VHF to
NBEs was 56% faster when compared to the average lead time of VHF to SLPs. The VHF interferometer map for an isolated
NBE (NBE6) showed upward propagation of VHF radiation sources (fast negative breakdown) with initiation altitude, total
length of the VHF radiation sources propagation, and estimated velocity were 10.2 ± 0.3 km, 2.9 ± 0.6 km, and 1.8×108 and
2.8×108 ms-1, respectively. On the other hand, interferometer map for an NBE that initiated a single-stroke CG (NBE3)
showed bidirectional fast streamers propagation with initiation altitude, total length of the VHF radiation sources
propagation, and estimated velocity were 14.0 ± 0.4 km, 2.9 ± 0.82 km, and 1.6×108 and 2.8×108 ms-1, respectively. Clearly,
the microwave and VHF radiation pulses associated with positive NBEs have been emitted by different processes of fast
breakdown mechanism. Therefore, it can be suggested that the microwave radiation is emitted by fast electron
avalanches/corona while the VHF radiation is emitted by fast propagating streamers.



Keywords: Conventional breakdown, fast breakdown, microwave, narrow bipolar event, very-high frequency
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Faculty of Electronic & Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
Phone: +606-2702771, Fax: +606-2701045, Email: [email protected], Website: https://portalfkekk.utem.edu.my