UTeM Technology Booklet 2021

1

© Universiti Teknikal Malaysia Melaka
FIRST PUBLISHED 2021

All rights reserved. No part of this publication may be reproduced, stored in a
retrieval system, or transmitted, electronic, mechanical photocopying, recording or

otherwise, without the prior permission of the Penerbit UTeM Press,
Universiti Teknikal Malaysia Melaka.

Advisor
Professor Ir. Dr. Ghazali bin Omar
Deputy Vice Chancellor (Research & Innovation)

Writers
Dr. Lee Mei Ph’ng
Madam Nurlisa Loke binti Abdullah
Madam Nor Lailatul Azilah binti Hamdzah

Editors
Associate Professor Dr. Muhammad Herman bin Jamaluddin

Ts. Dr. Ruziah binti Ali

Coordinators
Mr. Muhammad Adli bin Md Isa
Madam Siti Mashani binti A Majid

Typesetting
Madam Aziza binti Md Buang
Mr. Ahmad Masmuliyadi bin Mohd Yusof

Mr. Nazirul bin Termizi

Special Thanks to
Professor Dr. Zahriladha bin Zakaria
Professor Ir. Dr. Hambali bin Arep @ Ariff
Associate Professor Ir. Dr. Gan Chin Kim
Associate Professor Ir. Ts. Dr. Mohd Shukor bin Salleh
Associate Professor Ir. Ts. Dr. Mohd Yuhazri bin Yaakob
Associate Professor Ts. Dr. Sabrina binti Ahmad
Ir. Dr. Mohd Farriz bin Hj Md Basar

Ts. Dr. Norfariza binti Ab Wahab
Dr. Nusaibah binti Mansor

Dr. Ahmad Sadhiqin bin Mohd Isira
Dr. Mohd Afzanizam bin Mohd Rosli

Dr. Muliati binti Sedek

Publisher
Penerbit UTeM Press

Contact
UTeM Commercialization Centre
Office of The Deputy Vice Chancellor Research & Innovation
Phone: 06-270 1295 Fax: 06-270 1033
Website: http://ucc.utem.edu.my/ms/

Email: [email protected]

TABLE OF
CONTENT

Foreword by Deputy Vice Chancellor (Research & Innovation) ...........................................4
Preface..................................................................................................................................6
Human-Technology Interaction..............................................................................................9
Emerging Technology..........................................................................................................21
System Engineering............................................................................................................61
Green Technology...............................................................................................................71

FOREWORD BY
DEPUTY VICE CHANCELLOR
(RESEARCH & INNOVATION)

The era of globalization which is driven by the Fourth Industrial
Revolution (Industry 4.0) has resulted in universities becoming
catalysts for national development. Universities have the expertise
in many disciplines and are the perfect platforms to establish good
networking with industries and agencies. These networking are vital
towards producing graduands and society who are competitive and
equipped with the necessary skills, abilities and values which are in-
line with the robust development in technology.

Universities are places where both public and private sectors can
identify and create new talent. They can be the driving force to
promote, commercialise brands, products and expertise. In addition,
synergistic cooperation with industry and agencies will spearhead effort towards preparing Public
Universities in facing the challenges of the Industrial Revolution 4.0. UTeM has researchers with the
expertise to apply their research output to benefit community and society.

A close networking among universities, industry and society have the potential to increase knowledge
on quality of product development, new processes and services. Such smart partnerships have impact
on a more sustainable ecosystem of community life. UTeM is committed in forging partnerships

4

with industry, government agencies, community and stake holders in effort to
synergize the role of every entity towards achieving inclusive, impactful and
sustainable goals. Universities are the source of innovation and medium for the
creation, dissemination of knowledge and human capital development. Industry
are commercial entities that drive innovation to boost economic development and
local community. Such an approach demonstrates the commitment of UTeM in
strengthening the networking with strategic partners towards social prosperity and
national development.
Thus, this Technology Booklet is published to showcase the expertise of UTeM
researchers as a means of spearheading society and industry.
Thank you.

PROFESSOR IR. DR. GHAZALI BIN OMAR
Deputy Vice Chancellor (Research & Innovation)
Universiti Teknikal Malaysia Melaka

5

PREFACE

In line with the University research direction for excellence, UTeM has identified its niche in
Advanced Manufacturing & Computing Technology. It involves the use and integration of new
innovative technologies to improve products and/or processes. Advanced manufacturing is also
related to the improvement of performance through cutting edge technology applications in product
design. It entails rapid seamless transfer of science and technology into manufacturing products and
processes.
Advanced Manufacturing & Computing Technology is strengthened by four focus research areas
that are linked to outstanding international presence. We strive for excellence in the identified focus
areas of Green Technology, Emerging Technology, System Engineering and Human-Technology
Interaction as enshrined in the UTeM Strategic Plan. The stakeholders’ perspectives of meeting
and pioneering the knowledge and innovation challenges of the industry are integrated to the
achievement of the University vision.

6

into manufacturing products and processes.
Advanced Manufacturing & Computing Technology is strengthened by four focus research
areas that are linked to outstanding international presence. We strive for excellence in the
identified focus areas of Green Technology, Emerging Technology, System Engineering and
Human-Technology Interaction as enshrined in the UTeM Strategic Plan. The stakeholders’
perspectives of meeting and pioneering the knowledge and innovation challenges of the
industry are integrated to the achievement of the University vision.

7

8

HUMAN-
TECHNOLOGY
INTERACTION

9

TITLE: Human-Technology Interaction

MUETLex

TEAM LEADER: INTRODUCTION TO THE
INNOVATION
Dr. Noorli Binti Khamis
This product is a mobile application, which presents more
TEAM MEMBERS: than 200 most frequent words from actual MUET papers.
Adopting the dictionary concept, this app provides words
Dr. Lee Mei Ph’ng with definitions and sample sentences in English and
Ts. Dr. Halizah Binti Basiron Bahasa Melayu. This project is a collaboration between
Ts. Mashanum Binti Osman UTeM and Majlis Peperiksaan Malaysia (MPM), the
Mohd Hariz Bin Naim @ Mohayat owner of MUET papers. The target users of this product
Nurhidayah Binti Abdul Bareed are MUET candidates, which total up to around 180,000
Razilah Binti Abdul Rahim candidates per year. This attempt is hoped to contribute
significantly in improving the MUET candidates’
vocabulary knowledge, thus preparing them better for
MUET. 

POTENTIAL APPLICATION

• Bands 3 and below of MUET candidates (beginner & intermediate learners) - these groups make up 66 - 72% of
MUET takers (MPM, 2017)

• MUET for international students in Malaysian universities – since 2019, MUET can be used by international students
to join universities in Malaysia

• MUET for international universities – some universities in Singapore, Japan, HK, China & London accept MUET for
entry, in addition to IELTS & TOEFL.

• Schools, teachers, language centres, higher institutions

INDUSTRY PARTNER

Majlis Peperiksaan Malaysia (MPM)

10

Human-Technology Interaction

11

TITLE: Human-Technology Interaction

MUET CORPUS

TEAM LEADER: INTRODUCTION TO THE
INNOVATION
Dr. Noorli Binti Khamis
This product is a database of MUET past year papers,
TEAM MEMBERS: dated from 1999 to 2020. This corpus offers:

Dr. Lee Mei Ph’ng • clean database - displays the data in its ordinary text
Ts. Dr. Halizah Binti Basiron • tagged database - displays the data with its linguistic
Ts. Mashanum Binti Osman
Mohd Hariz Bin Naim @ Mohayat features
Nurhidayah Binti Abdul Bareed
Razilah Binti Abdul Rahim It allows users to investigate the MUET papers, from
various language aspects, for various MUET-related
purposes, including material development, course
planning, language investigations, publications,
comparative studies (with other proficiency tests), and
many more

POTENTIAL APPLICATION

• the only web based MUET database of past year papers, featuring the frequency and concordance functions – view
the data based on word frequency and its neighboring words

• allows investigations into MUET-related matters
• for researchers, language practitioners, teachers, higher institutions, schools, language centres, publishers, content

developers

INDUSTRY PARTNER

Majlis Peperiksaan Malaysia (MPM)

12

Human-Technology Interaction

13

TITLE:

AUTIKITS - VISUAL PERCEPTION Human-Technology Interaction

SCREENING TOOL FOR AUTISTIC DETECTION

TEAM MEMBERS: CLUSTER :

Prof. Ts. Dr. Faaizah Shahbodin This cluster seeks the advancement in Assistive Tool,
Dr. Che Ku Nuraini Serious Game and related areas. This cluster includes
Dr. Farah Nadia Azman diverse expertise in Multimedia Computing, Intelligent
Media and other related areas.
RESEARCH FOCUS :

Assistive Tool

INTRODUCTION TO THIENDINUSNTORVYATPIAORNTNER

AutiKits is an autism detection tool created to measure autistic level based on visual peSrceepatmioneporoSbleemns Cameonntgre for Spe

autistic learners. AutiKits is able to recognize visual perception problems among autistic students using serious game

techniques and mobile game-based approach complete with Individual Performance Report.

Early detection of autistic student includes either mild, severe levIeNl.DThUisSsTcrReeYniPngAtRooTl cNoEmRplements both manual and
conIvNeDntUionSaTl tResYts.PAAutRiKTitsNiEs Ravailable via Google Playstore.
National AutismSeSaomceieotSyen
POTENTIAL APPLICATION
Seameo Sen Centre for Special Education

Autikits is a new assistive teIcNhnDoUloSgyTmRoYdePl AfoRr cToNnsEtrRuctive skill-based curriculum to assist learners with learning

disability though early screening. As a computerized instrument for autistic screening, Autikits provides digital game-

based approaches which is potentially useful for autism learning centers, theraSpeyacmeneteors,SsecnhoColse,nstpreeciafol erdSucpaNetiaocntiaiol nEadluAcuattii
teachers and parents of autistic children.
National Autism Society
Little Genius
INDIUNSDTRUYSPTARRYTNPEARRTNER

National Autism Society
Seameo Sen Centre for Special Education
Little Genius

Little Genius PERMATA Negara

Seameo Sen Centre for Special Education NatNionaatliAountisaml SAouciettiysm Society LLititttlleeGGeneiuns ius PERMATA Ne

PERMATA Negara Special Education Departm

LittleSGpSeepnecciiiuaalslEEdudcauticonaDtieopnartmDPeenEpt RarMtmATenAtNegara Special Educ

PERMATA Negara

14

Special Education Department

aaramhaaiAaiSznnzahimhahaSbnHhumoaadnh-TiebnchonoldogyinInAterpaupcteitoeinrKrAccieputepspetpeitrKitricsoicoietneansppnptiptisroiaroounoanbtbnpilpselerammromuobstbdsilselaeeammmtmmesocdsotnaeniaogmtgmenaocaoutnuonitogtiogsinslatatciutciuocrtetiossilasltetuttciaecidcrrdeneslanettuotratessdrmd.neuAneetsoarutissnstm.iguuKAerssieautiesnstariguKiiusorstieutiaesssbartiiiulgcsoetauialtsemsobtvielgcreeealtltceemboocva
REmSoREbAiEmleRSogECbaAiHlmeRFegCO-abHmCaFsUeeO-SbdCaasUpeSpdraopapchrocaocmh pcloemtepwleiteh wInidthivIindduiavlidPuearlfoPremrfaonrc

andcveamnecnetminent in AssisAtisvseisTtiovoel Tool
mGeaamnde raenladteredlated
uddievserdsieveerxspeeertxispeertise
ntge,llIingteenlltigMeendt iMa edia
s.

TNHNEOINVNAOTIVOANTION

mtedcteitoenctiooonl tcoroelacterdeattoedmteoasmueraesauurteisatuictilsetvicelebvaeslebdaosendvoisnuavlisual
ammsoanmg oanugtisatuictilsetaicrnleearsrn. eArust.iKAiutstiKisitasbilseatboleretcoorgenciozegnviizseuavlisual
mmsoanmg oanugtisatuictistuicdsetnutdseunstisngussinergiosuesrioguams geatmecehtneicqhuneisqauneds and
aaspedpraopapcrhocaochmcpolemtepwleittehwInitdhivInidduivaildPuearlfoPremrfaonrmceaRnceepoRret.port.

EarlyEdaerltyecdteiotencotifoanuotifsatiuctissttuicdesntutdinecnltuidnecsluediethseeritmhieldr ,msieldv,esrevlevrell.eTv
tool ctoooml pcloemmpelnetmsebnottshbmoathnumaalnaunadl caonndvceonntivoennatliotensatlst.eAsutst.iKAiutstiKisitasviasila

PlaysPtloaryes.tore.

POTEPNOTTIEANLTAIAPLPLAIPCPALTIICOANTION

AutikAitustiiksitasnisewa naesswisatsivseistteivcehnteoclohgnyolmogoydemlofodrelcfoonrsctrouncsttirvuecstikviell-sbkaislle-bd
assisatslseiasrtnlerasrnweirtsh wleiathrnlienagrndiinsgabdiilsitaybtihliotyutghhoeuagrhlyesacrlryeesncirnege.nAinsga. Acsoma
instruinmsternutmfoenr tafuotrisatiuctissctirceesncirnege,nAinugt,ikAitustipkritosvpidreosviddiegsitadliggiataml eg-abmasee-bdaa
whicwh hisicphoitsenptoiatellnytiuaslleyfuulsfeofrual fuotrisamutliesamrnlienagrncienngtecresn,ttehresr,atphyercaepnytecresn,t
specsiapleecdiaulceadtiuocnateioanchteearschaenrds paanrdenptasreonftasuotifsatiucticshtiicldcrhenild. ren.

atuictistuicdsetnutdiennctluindcelsuediethseeritmheilrd,msieldv,esrevlerveel.eTvheli.sTshcirsesecnrineegning 15

TITLE: Human-Technology Interaction

IoT FLOOD OBSERVATORY SYSTEM (iFOS)

TEAM LEADER: CLUSTER :

Mazran Esro This cluster seeks the advancement in Internet of Things,
remote monitoring, data analytics and related areas.
TEAM MEMBERS: This cluster includes diverse expertise in Electronics,
Telecommunication, Computer Science, Mathematics
Siva Kumar Subramaniam and other related areas.
Dr. Satrya Fajri Pratama
RESEARCH FOCUS :

Internet of Things, Remote monitoring, monitoring of
barrage, tidal, Irrigation, monsoon drain and drainage.

INTRODUCTION TO THE INNOVATION

The IoT (Internet of Things) based Flood Observatory System (iFOS) is a system deployed in flood-prone areas to
address the impact of flash floods and seasonal floods on the community. The flood victims usually have to keep
themselves alert and prepared for the worst when it rains or during flooding season. However, rainfall is not biased
to the time when the victims are usually caught unprepared as the flood rises to a dangerous level without any
indication. The end-users for iFOS include the public, flood victims or residents at flood-prone areas, local authorities
and government agencies. The users can monitor the iFOS dashboard directly using their mobile devices and via a
web browser for real-time flood status in a respective area. With iFOS, the user can access the water level, flooding
probability and real-time warning notification via a public channel, mobile devices, social media (telegram) etc. The
iFOS will help the public and community in flood-prone areas by receiving real-time alerts on water levels and warning
to reduce damages to properties and losses due to flood. Often these damages caused by the flood will not be covered
under insurance, especially for vehicles and private properties. On the other hand, the alert/warning system can be
utilised by respective agencies (e.g. Bomba, Local council, bilik Gerakan banjir etc.) for early planning and preparation
for victim evacuation activities. With the collected data, the respective government agencies can make better decisions
for future flood mitigation initiatives.

INDUSTRY PARTNER

The iFOS can be deployed in flood prone locations where the potential benefits can be gained by the public, flood
victims or residents in the surrounding area, local authorities, private industry and government agencies. The state
government (UPEN), local authorities (MPHTJ, MBMB), bilik Gerakan banjir etc. can benefit with data collected for
future flood mitigation plans and planning of resources to tackle the flooding issues.

16

Human-Technology Interaction

Figure 2: Data analysis with iFOS

17

TITLE: Human-Technology Interaction

UTeM-PERKESO 3D PRINTED PROSTHETIC SOCKET

TEAM LEADER: INTRODUCTION TO THE
INNOVATION
Assoc. Prof. Dr. Mohd Juzaila bin Abd Latif
• Prosthetic socket is one of the essential components
TEAM MEMBERS: that connects a person’s limb to the prosthetic leg
to interact with the environment. Every socket is
Prof. Dr. Ghazali bin Omar customized to the user depending on the shape, size,
Assoc. Prof. Dr. Raja Izamshah Raja Abdullah and position of a person’s body.
Assoc. Prof. Dr. Mohd Shahir bin Kasim
Assoc. Prof. Ir. Dr. Mohd Rizal bin Alkahari • At the PERKESO Rehabilitation Center (PRC) Melaka,
Dr. Masjuri bin Musa @Othman the socket is manufactured using conventional vacuum
Ts. Dr. Mohd Azli bin Salim casting. However, the process highly depends on
Ir. Dr. Mohd Shukri bin Yob operator artistic skills, long fabrication time, material
Mohd Nazim bin Abdul Rahman waste and environmental hazard.
Dr. Hafez bin Hussain (PRC)
Dr. Ong Kua Ghee (PRC) • Therefore, UTeM in collaboration with PRC has
Dr. Lattish Rao Threemurty (PRC) identified the used of 3D printing technology to produce
the sockets more efficiently.

VALUE PROPOSITION :

The 3D printing technology was proven to be more user friendly at low fabrication cost and able to produce the socket
in a short period of time. The cost was reduced from RM1,500 to RM500 for each socket. More importantly, the
mechanical strength of the 3D printed material is higher compared to the conventional material. This will be the first
innovation of 3D printed prosthetic socket in Malaysia.

TARGET MARKET MARKETING CHANNELS

PERKESO will supply the 3D printed socket to all their PRC will utilize the 3D printing technology to produce the
patients. It will also be extended to other government prosthetic socket. The technology will also be used to all
agencies and national market. the PERKESO’s prosthetic centres in Malaysia.

FUNDING INDUSTRY PARTNER

MTUN Matching Grant PERKESO

18

HHumumana-nT-eTcehcnhonloolgoygyInItnetrearcatciotinon



EMERGING
TECHNOLOGY

21

Emerging Technology

TITLE:

C2L

TEAM LEADER: INTRODUCTION TO THE
INNOVATION
Ts. Dr. Mohd Azli Bin Salim
• C2L machine is a semi-automatic cone laying and
TEAM MEMBERS: picking machine.

Assoc. Prof. Dr. Nor Azmmi bin Masripan • This machine can eliminate or reduce the risk of injury
Adzni bin Md. Saad and fatality to the road workers (when they are placing
Ir. Ts. Dr. Mohd Zaid bin Akop and retrieving the traffic cones).
Faizil bin Wasbari
Dr. Nurfaizey bin Abdul Hamid
Ts. Aminurrashid bin Noordin

VALUE PROPOSITION :

• It is the first-ever semi-automatic cone laying and picking machine developed in Malaysia and ASEAN.
• It is a one-man operation machine. The main features of this product are its portability, low-cost, use of local

technology, significant reduction in operation time and mainly on-the-shelf components.
• It is portable and can be attached to any type of lorry. Clients do not need to invest in any specific vehicle for this

machine.

TARGET MARKET Figure 1

• Our current confirmed buyer for this product is PLUS
Malaysia Berhad.

• With PLUS as the leading player in the highway industry
in Malaysia, it has the influence to convince other
highway operators to buy and use this product. Because
of that, highway operators and other road maintenance
companies are the target customers for this product.

FUNDING

PLUS Malaysia Berhad
MTUN Matching Grant

22

Emerging Technology
Emerging Technology

TITLE: Emerging Technology

DEVELOPMENT AND INTEGRATION OF HIGHWAY

MAINTENANCE TECHNOLOGIES

TEAM LEADER: CLUSTER :

Dr. Shamsul Anuar Shamsudin Engineering & Technology

TEAM MEMBERS: RESEARCH FOCUS :

Dr. Mohd Khairi Mohamed Nor System Engineering
Assoc. Prof. Dr. Raja Nor Firdaus Kashfi Raja Othman
Assoc. Prof. Dr. Mohd Shahrieel Mohd Aras
Assoc. Prof. Dr. Ahmad Anas Yusof
Ir. Ts. Dr. Anuar Mohamed Kassim
Dr. Nur Ilyana Anuar Apandi
Dr. Nur Hazwani Mokhtar
Nur Latif Azyze Mohd Shaari Azyze
Febrian Idral
Ts. Mohd Idain Fahmy Rosley
Ahmad Zul Husni Che Mamat

INTRODUCTION TO THE INNOVATION

Grass cutting is an important service to ensure scenic views including along roads and highways. In Malaysia, usually
this is done by foreign workers using back-pack brush cutters. However, with the COVID-19 pandemic, the use of
many workers during the operations may pose a great health concern. The mowing services may be allowed but this
is discouraged by health authorities in order to curb the spread of the disease. Hence, there is a need to have grass
cutting machines or mowers that may be controlled remotely or even operated autonomously, using well-developed
technologies. Thus, this team is tasked to demonstrate a technology that can replace many human operators in cutting
grass along the highways managed by the company.

The machines can incorporate advanced technologies that are within reach such as IoT to gather information of the
machine well-being or conditions, sensors to identify hindrance, GPS to track positions, and drones for monitoring and
location mapping. We also want to explore the use of battery powered motors for the grass cutting operation. Another
solution that we can look into is highway cone laying and collecting. We could incorporate simple mechanisms with
sensors and robotic arms installed on suitable size vehicles that travel along the highway at moderate speed.

POTENTIAL APPLICATION INDUSTRY PARTNER

Grass cutting along roads and highways, as well as in
fields.

24

Emerging Technology

25

TITLE: Emerging Technology

A RAPID FLOOD EMERGENCY RESPONSE
DASHBOARD FOR DYNAMIC LOCATION-BASED
VISUALIZATION USING BIG DATA ANALYTICS

TEAM MEMBERS: CLUSTER :

Dr. Siti Azirah Asmai This cluster seeks the advancement in Artificial
Dr. Noor Fazilla Binti Abd Yusof Intelligence, Internet-of Things, Analytics and related
Assoc. Prof. Dr. Nurul Akmar Binti Emran areas. This cluster drives data complexity through new
Assoc. Prof. Dr. Zuraida Abal Abas forms of data. This cluster includes diverse expertise in
Dr. Zaheera Zainal Abidin Computer Science, Mathematics and other related areas.

RESEARCH FOCUS :

Emerging Technology

INTRODUCTION TO THE INNOVATION

Big data analytics has opened new opportunities for natural disaster management, primarily because of the varied
possibilities it provides in visualizing, analyzing, and predicting natural disasters. From this perspective, big data has
radically changed the ways through which human societies adopt natural disaster management strategies to reduce
human suffering and economic losses. Big data analytics use advanced analytic techniques against very large, diverse
data sets that include structured and unstructured data, from different sources, and in different sizes. Big data is
applied to data sets whose size or type is beyond the ability of traditional databases to capture, manage and process
the data with low latency. Big data has one or more of the following characteristics which is high volume, high velocity
or high variety. Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data complexity
through new forms of data.
When a flood occurs, the authorities implement a rescue process for flood victims including providing shelters, foods,
drinks, water supply and other necessities. Currently, the existing work of the rescuer focus on manual data collection
for decision making in rescue process. Hence a, new approach of rapid flood emergency response architecture based
on big data analytics is needed.

POTENTIAL APPLICATION

Floods are one of the most catastrophic natural disasters, and modelling them is extremely difficult. The progress of
flood prediction models has contributed to risk reduction, policy recommendations, a reduction in human life loss, and
a reduction in flood-related property damage. Machine learning (ML) approaches have made significant contributions
to the progress of prediction systems in the last two decades by simulating the complicated mathematical expressions
of physical flood processes. This has resulted in greater performance and cost-effective solutions.
Therefore, this project proposes a Rapid Flood Emergency Response Solution for dynamic changes based on big Data
Analytics. The Flood dashboard will be displayed in a web application using Power Bi as the visualization which will be
embedded in the web application. The visualization will display the report not only from relational data sources but also
from social media’s and also .CSV file. This key data for this project will be the river level, rain fall and location. The
web application will be designed using Python and the main programming language.

26

Emerging Technology

INDUSTRY PARTNER ANGKATAN PERTAHANAN AWAM MALAYSIA

27

TITLE: Emerging Technology

INTEGRATED IRIS DETECTION SOLUTION
USING ARTIFICIAL INTELLIGENCE

TEAM MEMBERS: CLUSTER :

Dr. Zaheera binti Zainal Abidin ([email protected]) Computing / Computer Science
Assoc. Prof. Dr. Zuraida binti Abal Abas
Ts. Ahmad Fadzli Nizam bin Abdul Rahman RESEARCH FOCUS :
Prof. Dr. Rabiah Ahmad
Dr. Nurul Azma binti Zakaria Computing / Computer Science

INTRODUCTION TO THE INNOVATION

Iris recognition is a well-known biometrics technology for human identification due to its high accuracy performance.
Iris is an internal organ that can be viewed externally. Inside the iris structure contains unique features suitable for
detection and verification in access control system. Unique iris features such as crypt and furrow are one of the kinds
and contain an authentic template of a person. The authentic iris template is useful for login on devices, application
systems and for additional layer of security in implementing the authorization process. With the element of artificial
intelligence algorithm, it produces a faster detection and better accuracy performance for iris detection system. Figure
1 and Figure 2 explain how the enhanced ant colony optimization in artificial intelligence algorithm perform the iris
detection and verification process.

POTENTIAL APPLICATION

An integrated iris recognition system will be the potential application for access control system. The implementation
is crucial for adopting the security solution and safety into an organization or a bureau. Most iris recognition systems
are stand-alone, not integrated and executed in different platforms. With the integrated security solution brings a
better control mechanism in terms of managing staff in the organization, easy human tracking (especially in pandemic
situation) and useful for executing an additional layer of security at access level (for banking and military sector). The
integrated security solution brings an innovation in digitalization environment in daily activity or to common operations.
Figure 3 illustrates the product in terms of security solution of integrated iris recognition in access control system.

Figure 1: Iris Recognition Figure 2: Iris Recognition –
detection and verification process
28

Emerging Technology

Figure 3: Integrated Iris Security Solution for Access
Control System

29

Emerging Technology

TITLE:

PROTECC-INNOVATING CARE THROUGH AI AND IoT

TEAM MEMBERS: CLUSTER :

Assoc. Prof. Dr. Sharifah Sakinah Syed Ahmad Artificial Intelligence and Analytics
Hazqeel Afyq Athaillah Bin Kamarul Aryffin
Dr. Fauziah Kasmin RESEARCH FOCUS :
Dr. Zuraini Othman
Deep Learning, Activity Recognition, Embedded System

INTRODUCTION TO THE INNOVATION

With current healthcare improving, the life expectancies of elderlies also increase. Department of Statistics Malaysia
expect that there will be around 5.6 million of elderlies by 2030. Meanwhile, by 2050, Malaysian’s population will
consist of 23.6% elderlies. Elderlies are fragile and spend most of their time alone. They have higher chances to be
injured by falls or face any health-related issues. Most of the time, they do not have any proper things to do, making
them sedentary. On the other hand, elderlies who live separately from their children face greater risk when an accident
happens. When this occurs, they cannot respond urgently if any accident happens to their parents. They also have
problems to monitor their parents’ activities or remind them to take their medicine. Besides that, they tend to take a
longer time to notice the presence of any disease or behaviour change in their parents because they are usually away
from their parents.

The motivation of the project is to use current technology advancement such as artificial intelligence and internet
of things to care of elderlies. The proposed product helps to monitor elderlies by predicting their activities using
accelerometer and gyroscope. Thus, their children can remind them to do some activity or be notified when any
elderly falls. This allows the children to take quick action in order to save their parents and avoid any complicated
health related issues. The product consists of an app for the children or caretaker, is wearable for elderlies, has
Raspberry Pi as MQTT broker, Python for prediction and uploading data, and Firebase as NoSQL database (Figure
1). Accelerometer and gyroscope data from the wearable will be predicted using Long Short Term Memory (LSTM),
then uploaded to Firebase. After that, the app will refresh immediately when new data is uploaded. A user can view
the elderly’s activity, daily activities and weekly activities at the main screen (Figure 2). Any warning can be viewed
from warning screen. The user can act accordingly such as calling the elderly or requesting help from nearby hospitals
when a warning is issued.

INDUSTRY PARTNER

30

Emerging Technology

POTENTIAL APPLICATION

Caring for elderlies always require extra efforts to ensure their condition and health are at the best. For adults that live
with their parents, they usually need to leave their parents for around nine to ten hours every day because they need
to go to work. On the other hand, elderlies who live separately from their children face greater risk when an accident
happens. When this occurs, they cannot respond urgently if any accident happens to their parents. They also have
problems to monitor their parents’ activities or remind them to take their medicine. Besides that, they tend to take a
longer time to notice the presence of any disease or behaviour change in their parents because they are usually away
from their parents.

As number of elderlies keep increasing, we need better ways to care for them. Protecc will help children/ caregiver care
for their elderly with ease and efficiently. They can work with ease while their parents stay at home because they can
get necessary monitor data about their parents’ conditions or activities. Furthermore, they can get early emergency
messages if anything happens to their parents. Early detection may save lives or avoid things getting out of hand.
Thus, this indirectly reduces the cost that needs to be covered by their children or the government.

Figure 1: High-Level Design of Protecc
Figure 2: Interfaces for Protecc Application

31

Emerging Technology

TITLE:

UTeM SIT-STAND EXO

TEAM MEMBERS: CLUSTER :

Dr. Isa bin Halim This cluster is motivated to improve working conditions
Ts. Dr. Zulkeflee Bin Abdullah of industrial workers in order to boost nation’s economy.
Assoc. Prof. Dr. Mariam Binti Md Ghazaly This cluster has a wide range of expertise in Industrial
Prof. Ir. Ts. Dr. Puvanasvaran A/L A. Perumal Ergonomics, Product Design, the Internet of Things and
Ir. Dr. Ridza Azri Bin Ramlee Engineering Materials.
Dr. Muhammad Zaimi Bin Zainal Abidin
Nurul Najwa Zawawi RESEARCH FOCUS :

Human at work

INTRODUCTION TO THE INNOVATION

Standing for an extended period of time can create discomfort and muscular fatigue in the lower back and foot.
Prolonged standing can lead to poor performance in the industry, such as decreased productivity, lower labour
efficiency, and reduced worker concentration.

Manufacturers and previous researchers have created end products and prototypes of sit-stand exoskeletons.
However, the created exoskeletons are incapable of recording and visualising technical data such as force, pressure
in the lower back, and foot pressure. This innovation will employ cutting-edge sensor technology to advise users
(workers) to alternate sit/stand based on quantitative data, thereby reducing muscle fatigue associated with prolonged
standing.

POTENTIAL APPLICATION

Many operations in the manufacturing and service industries need workers to stand, such as assembling electronics
parts, machining, and welding processes. These industrial operations are nearly impossible to accomplish while seated
in a conventional chair. The best solution is to provide a device that allows workers to move around and alternate
between standing and seated work positions (interchangeable work positions).

The UTeM SIT-STAND EXO is ingeniously designed to allow workers to alternate between standing and sitting
positions while performing tasks.

INDUSTRY PARTNER

An MoA was signed with Subitec Sdn. Bhd. Ayer Keroh Melaka for an on-site study of the UTeM SIT-STAND EXO.

32

Emerging Technology

33

Emerging Technology

TITLE:

SOCIAL DISTANCING INDICATOR SYSTEM

TEAM LEADER: CLUSTER :

Ts. Dr. Zulkeflee bin Abdullah Innovation for Covid 19

TEAM MEMBERS: This cluster focuses on the creation of a social distance
indicator system for people to use when visiting public
Muhammad Izzat Abdul Karim places.
Mohamad Afiq Bin Sharum
Alia Malina Binti Zam Zam RESEARCH FOCUS :
Ahmad Diaurrahman Bin Humaidi
Mohd Shafi bin Abdullah Vulnerable Group & Community Support

INTRODUCTION TO THE INNOVATION

The government implemented social distancing as one of the Standard Operating Procedures (SOP) that we must
observe when visiting public locations. Due to the difficulties in adhering to this regulation, the society will be vulnerable
to the deadly COVID-19 virus; so, our research team decided to design and build the Social Distancing Indicator
System (SDIS) to assist citizens during this pandemic. The product will provide an immediate alarm and warning
in order to preserve social distance. The aim of this product is to remind the public so that if they forget to keep the
distance, the Social Distancing Indicator System (SDIS) will inform them. This product will be able to prevent the virus
from spreading and greatly limit the growth of new outbreaks. The development of this technology allows people to
access public areas with less concerns because the device can assist us in adhering to the SOP. Early prototypes
have been introduced in developed countries such as Germany and Japan. Although the product is available, the price
ranges are prohibitively high, and not everyone can afford it. We were inspired by the manufacturers of these devices
and wanted to create a solution that was very affordable.

POTENTIAL APPLICATION

If everyone uses the product, its functions and effects will be maximised. Individuals can purchase the product, or it can
be supplied by business owners at retail malls and government agencies. The product contains a 1-1.5 m adjustable
distance, a buzzer for an easy alarm system, and a light indicator for a visual cue. It also features a customisable
sound that may be turned on or off.) It also provides cartoon casing for children as well as beautiful casing for office
employees. The device is also reasonably priced. Aside from personal use, it can be used in commercial malls and
religious buildings. We placed second in The IEM (Institute of Engineer Malaysia) Business Pitch Competition.

34

Emerging Technology

35

TITLE: Emerging Technology

LIGHT WEIGHT FRONT LOWER CONTROL ARM
(FLCA) FOR PASSENGER CAR

TEAM LEADER: CLUSTER :

Assoc. Prof. Ir. Ts. Dr. Mohd Shukor Bin Salleh Light weight materials for automotive applications
This cluster focuses on the development of innovative
TEAM MEMBERS: lightweight materials for automotive applications. It
comprises weight optimization, mechanical testing, and
Mohd Suffian bin Ab Razak reliability testing.
Zolkarnain bin Marjom
Mohamad Ridzuan bin Mohamad Kamal RESEARCH FOCUS :
Mohd Hafizi bin Abdul Rahman
Energy efficient vehicle
Light weight material

INTRODUCTION TO THE INNOVATION

A front lower control arm is used to integrate the knuckle and suspension module to the main frame to support the
vehicle weight while absorbing load in both the longitundinal and lateral direction. It holds the wheel in the right place.
Therefore, the product geometry will significantly affect ride and handling. The commercial product is fabricated of steel
and weighs 5 Kg. However, there is a demand from the automotive industry to reduce the weight of the lower control
arm to fulfil the requirements of energy-efficient vehicles (EEV).

In this project, a new aluminium lower control arm is produced using a die casting process. The total weight of the new
aluminium control arm is 2.5 kg, which is 50% lower than the weight of commercial products on the market. Moreover,
approximately 7% of fuel consumption can be reduced. In both the lateral and longitudinal directions, the new lower
control arm surpassed the fatigue test standard (PES-7029). The product was examined at the PROTON test facility
in Shah Alam. The data obtained demonstrated that the product fulfils the test requirement of 300,000 cycles, which is
equivalent to a 160,000km fatigue durability test.

POTENTIAL APPLICATION

The potential application is for C-Segment passenger cars (i.e Proton, Honda and Toyota Cars)

INDUSTRY PARTNER

1.Crusk Assembler Sdn. Bhd.
2. Proton Holdings Berhad

36

Emerging Technology

37

TITLE: Emerging Technology

CARBON NANOMATERIALS BASED ENERGY
STORAGE DEVICE

TEAM LEADER: CLUSTER :

Prof. Ir. Dr. Mohd Asyadi Azam Bin Mohd Abid Nanomaterials and Energy Storage

TEAM MEMBERS: This project establishes the viability of functional materials’
sample preparation and sets the path for the development
Ts. Dr. Rose Farahiyan Binti Munawar of practical electrodes for energy storage devices. The
Assoc. Prof. Ir. Ts. Dr. Mohd Shukor Bin Salleh proposed initiative could help to promote the national
Dr. Mohd Fareezuan Bin Abdul Aziz agenda, particularly in the fields of nanotechnology and
Dr. Raja Noor Amalina Binti Raja Seman advanced materials-based energy security.

RESEARCH FOCUS :

Energy including applications for transportation (EV
etc.), renewable energy farm, industrial, agriculture, and
electronics.Light weight material

INTRODUCTION TO THE INNOVATION

With its quick charging and discharging capabilities, the supercapacitor has become well-known throughout the world.
With current global consumer needs for faster energy storage to keep up with new technology, supercapacitors have
emerged as a rising star among competitors such as Li ion batteries and rechargeable batteries. In comparison to
batteries, supercapacitors can be utilised for up to 20,000 cycles (equivalent to 27 years) and some may even reach
as high as 100,000 cycles.

This supercapacitor is constructed of graphene and activated carbon, both of which are carbon-based materials.
Unlike Li ion and other rechargeable batteries, KOH electrolyte is used to keep the battery from reacting with its
surroundings when it is exposed. It will not explode or cause harm to humans. Despite the fact that aqueous solution
is utilised as the electrolyte, its stability in fast charging and discharging is very reliable. Its ability to store energy
fluctuates throughout 10,000 cycles, decreasing by 0.01 percent and returning to 101 percent. This supercapacitor has
a great commercialization potential and, with the appropriate guidance, will be a huge success in the future.

POTENTIAL APPLICATION

Our research output enables the full implementation of IoT devices. It has a wide range of potential applications,
including structural monitoring (buildings, bridges, etc.) and agricultural food security. The ideal way to apply IoT in
the agricultural sector is to use a DC power supply and a supercapacitor, and if full deployment of IoT in agriculture is
implemented, there will be an increase in agricultural productivity. This innovation is comparable to the use of IoT in
disaster management, where an early warning of a flood situation and an increase in the (river) water level will serve as
a warning, ultimately saving lives and property. This research will lead to the creation of core designers in supercapacitor

38

Emerging Technology

and will look into the use of IoT devices and technology sub-components. This will help the government’s Industry 4.0
plan.
The electrode is a potential use for advanced energy storage systems such as supercapacitors and lithium/sodium
ion batteries. Apart from electric vehicles, there is a large demand for energy storage that is not dependent on the
grid for usage in other applications such as solar farm power grid. Meanwhile, from an economic standpoint, this
technology provides a simple and cost-effective method for producing high-quality carbon electrodes. This research
also improves society’s and young scientists’ knowledge of innovative energy-saving technology. Meanwhile, in terms
of socioeconomic impact, it promotes university graduates and others to engage in the supercapacitor manufacturing
sector, which supplies the device both locally and globally. Most importantly, this project supports national agendas
such as the NKRA, particularly in terms of improving public transportation in the city.

Industry Partner

1) Industrial Linkages:

Magna Value Sdn Bhd, Sungai Petani, Kedah, Malaysia. Telephone: +604 446 4522. Person in-charge: Director,
Shaharudin Shariff

Nature of business: Energy storage technology including supercapacitor and battery. The partnership will
contribute technical knowledge as well as consult on appropriate methods of preparing or synthesising the new
potential electrode for secondary batteries. In addition, the company will offer its skills and experiences in the
development of new energy storage devices. The company is well-positioned to commercialize the products
developed as a result of this research.

2) International collaboration with Prof Akihiko Fujiwara, Kwansei Gakuin University, Japan.

Prof Fujiwara will serve as the project’s mentor and will help the team investigate the fundamental science of the
photocharging battery. He is an expert in physics, chemistry, electronics and materials science.

DEVICE IN CELL

FABRICATED BATTERY &
SUPERCAPACITOR MODULE

39

TITLE: Emerging Technology

IoT BASED FERTIGATION SYSTEM WITH
HYBRID ARTIFICIAL LIGHTING

TEAM LEADER: CLUSTER :

Dr. Fakrulradzi bin Idris Internet-of-Things in Agriculture.
Ir. Dr. Anas bin Abdul Latiff
Muhammad Amirul bin Buntat RESEARCH FOCUS :
Yogeswaran a/l Letchmanan
IoT Fertigation System

INTRODUCTION TO THE INNOVATION

Farmers have widely employed fertilisation systems to automate some processes in crop yields. In chilli farming, a
semi-automated fertigation system can be applied, in which farmers use a timer-based pumping system to fertilise
and water the plants several times each day according to set time and duration. The system can lower the amount of
manpower required to do the same task manually while ensuring that each plant receives roughly the same amount of
nutrition. However, workers are required to make a fertiliser mixture (extract A and extract B) before transferring it to the
main storage tank to be mixed with water in this semi-automated system. The electrical conductivity (EC) and pH value
of the liquid in the tank are manually measured, and the liquid volume must be monitored as well. These manual tasks
necessitated the presence of workers on-site to monitor the EC and pH values, as inconsistency of the EC and pH
values could occur in some circumstances. As a result, an Internet of Things (IoT)-based Fertigation system is being
developed to autonomously distribute fertiliser mixtures with precise and consistent EC and pH values to the plant.

The system’s operation can also be monitored using an IoT dashboard, and the farmers can control the system
remotely. Farmers will be notified if the condition of the system or plant does not meet the predefined settings. An
artificial lighting system will also be installed so that it can operate when there is less sunlight available, particularly in
the evenings and at night. The EC, pH, soil moisture, and light sensor results will be recorded in an online database
for further analysis. It is anticipated that a more cost-effective IoT-based fertigation system with hybrid artificial lighting
will be developed. The technology can lower operational costs, optimise fertiliser use, provide consistency, and boost
chilli production.

POTENTIAL APPLICATION

The Internet of Things (IoT) connectivity system has been implemented in a variety of industrial applications, particularly
in high-tech manufacturing. IoT enables remote monitoring and control of any system via smart phones or computers.
The internet connection is critical in the system since it allows users thousands of miles away to remotely monitor
the system via sensors or even real-time display of a camera. The usage of IoT in agriculture can provide numerous
benefits such as increased efficiency, improved worker safety, equipment monitoring, and improved crop and weather
predictions.
In agriculture, intelligent sensor techniques have received a lot of attention. Sensor applications for temperature,
humidity, light intensity, water nutrient solution level, pH and EC value, and CO2 concentration are used in agriculture
to appropriately plan various operations or processes with little resources and minimal human intervention.

40

Emerging Technology

Hybrid artificial lighting, on the other hand, serves as supplemental lighting for plantation. Light is an essential
component of photosynthesis, as it provides food for plant growth while also releasing oxygen for humans. Additional
lighting allows plants to perform photosynthesis even in Malaysia’s typical wet weather. This strategy will also deliver
light to the plant until it achieves the essential amount of light for the plant’s growth

Industry Partner

Yoshii Agro Care
Eureka Technology Solution (ETS)

41

TITLE: Emerging Technology

SMART SMOKE LEVEL DETECTION FOR RUBBER

STRAIN GAUGE WITH AMBIENT MONITORING

TEAM : CLUSTER :

Adam Wong Yoon Khang • Industries: Middle stream Rubber Industry
Tan Kim Loong • Application area: laboratory, material testing, sports
Zulhairi Bin Othman
Jamil Abedalrahim Jamil Alsayaydeh RESEARCH FOCUS :
Johar Akbar Bin Mohamat Gani
Internet-of Things

INTRODUCTION TO THE INNOVATION

The suggested system uses Internet of Things (IoT) technology to monitor the state of the environment and detect
strain gauges on rubber specimens. The mechanism, which comprises of three sensors in one (strain sensor,
ambient sensor, and gas sensor), gives a sensing system to the rubber samples, which may be utilised to detect their
surroundings. Later, the data will be captured and recorded using a data logger. Using the Arduino microcontroller, the
collected data will be presented on a LCD monitor. The data will then be delivered to a mobile application for wireless
display mode via IoT devices.

POTENTIAL APPLICATION

42

Emerging Technology

43

TITLE: Emerging Technology

EDUCATIONAL MOBILE APPLICATION BY
USING DEEP LEARNING

TEAM LEADER: CLUSTER :

Noor Mohd Ariff bin Brahin Internet-of Things, Computer Science
Dr. Haslinah binti Mohd Nasir
RESEARCH FOCUS :

Internet-of Things

INTRODUCTION TO THE INNOVATION

Educational applications provide a fun approach to stimulate children’s minds. Children, on the other hand, must
actively explore their surroundings. According to studies, interactive learning sessions help children learn faster. Learn
With IMAN provides students with a highly interactive learning experience. Using Artificial Intelligence and real-time
image recognition, children will not only interact with their mobile device but will also need to actively move around and
interact with their environment.

POTENTIAL APPLICATION

Kindergarten, kids’ attractions park, amusement park

Industry Partner

44

Emerging Technology

TITLE:

PERSONAL REMOTE SENSING SYSTEM (PRSS)

TEAM LEADER: CLUSTER :

Assoc. Prof. Dr. Asmala Ahmad This cluster explores advancement in image analytics.
Mohd Yazid Abu Sari
RESEARCH FOCUS :

Image analytics

INTRODUCTION TO THE INNOVATION

The PRSS aims to eliminate delay and cost concerns in traditional remote sensing data, improve the spatial and
spectral resolution of traditional remote sensing systems, and provide a user-friendly remote sensing system that
anyone may use at any time and from any location. This system is made up of a quad rotor UAV, a laptop computer,
and a smart phone. The quad rotor UAV is mounted with an RGB camera or any other sensors required by the user.
The UAV is equipped with GPS and telemetry facilities for tracking and controlling. The camera is outfitted with GPS
capabilities, which allow the captured image to be geolocated. The smart phone is equipped with telemetry facilities
to trigger the system and control the UAV. The system’s operation entails autonomous image acquisition as well as
real-time image tracking.

POTENTIAL APPLICATION

PRSS is appropriate for small and medium-sized businesses as well as the general public. The collected photos can be
utilised for a variety of purposes, including land cover mapping, digital surface modelling, 3D modelling, road design,
urban planning, pavement inspection, sedimentation monitoring, and environmental preservation.

Industry Partner

Anjung Technology Sdn Bhd

45

Emerging Technology

Land Cover Mapping Digital Surface Model (DSM)
Road Planning
3D Modelling

46

Emerging Technology UAV
Pavement Inspections
Urban Planning Digital Surface Model (DSM)

Sedimentation Monitoring Environmental Preservation

47

TITLE: Emerging Technology

G-MOOC: A GAMIFIED LEARNING
MANAGEMENT SYSTEM

TEAM LEADER: CLUSTER :

Prof. Ts. Dr. Sazilah Salam This cluster seeks the advancement in Educational
Rujianto Eko Saputro Technology and related areas. This cluster includes
Assoc. Prof. Mohd. Hafiz Zakaria diverse expertise in E-Learning, Intelligent System and
other related areas.

RESEARCH FOCUS :

E-Learning

INTRODUCTION TO THE INNOVATION

G-MOOC is a self-developed Learning Management System (LMS) that was built based on our proposed MARC
gamification framework. G-MOOC can be used for developing and offering online courses including MOOCs (Massive
Open Online Courses).

Gamification and gaming elements are used in teaching and learning. Existing game elements in online learning
also include on-boarding/tutorial, quests/missions, time pressure/time limit, points/virtual currency/coin/score/badges,
grade/rating/ranking/levels/leaderboards, progress bars/performance graphs/social graphs/dashboard, unlock item/
unlock skill, avatars/persona/avatar world, representation/narrative/storyline, competition & collaboration, freedom to
fail & freedom to choose, and sharing & gifting.

POTENTIAL APPLICATION

Since it is a learning management system, G-MOOC can be used by any education institutions including schools,
training providers, industries and communities.

Individuals who want to offer online courses can also benefit from G-MOOC. There are many kinds of on-line courses
that can be offered nowadays. These include MOOCs, professional certification courses, micro-credentials, micro
and nano degrees, all of which are useful for overcoming knowledge obsolescence in the Industry 4.0 and above era.

The market potential of the G-MOOC platform to support online learning is very high, particularly in the era of the new
industrial revolution, when people must be able to learn fast in order to gain new skills and acquire new competencies
via lifelong learning.

INDUSTRY PARTNER

University of Amikom Purwokerto, Indonesia

48