Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

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46 articles
Proceedings Article

Peer-Review Statements

Su-Cheng Haw
All of the articles in this proceedings volume have been presented at the International Conference on Computer, Information Technology and Intelligent Computing 2022 (CITIC 2022) during 25th–27th July 2022 in Multimedia University, Cyberjaya, Malaysia (online).
Proceedings Article

Designing User Interface for an Elderly-Muslim-Friendly Mobile Application

Abg-Nazmi-Syahirul Abg-Jasmani, Zarina Che-Embi, Aziah Ali, Noramiza Hashim, Shahbe M-Desa
There are many mobile applications that are used in the daily lives of Muslims to fulfill their obligations and Islamic lifestyle. However, the user interface of most of these mobile applications has been found to have certain issues with elderly users, in other words, not elderly-friendly. The usability...
Proceedings Article

Comparison of Machine Learning Models for IoT Malware Classification

Piragash Maran, Timothy Tzen Vun Yap, Ji Jian Chin, Hu Ng, Vik Tor Goh, Thiam Yong Kuek
The Internet of Things (IoT) is a system where devices and sensors are interconnected to improve accuracy, efficiency, precision and consistency. It is being developed rapidly as more people are aware of this system. From farmers, all the way to the automotive engineers are all benefiting from the usage...
Proceedings Article

SafeTravel–Application with Blockchain Technology

Yu-Sheng Goh, Lee-Ying Chong, Siew-Chin Chong
The first COVID-19 case was detected in Malaysia on 25th January 2020. Given the serious situation of COVID-19, Malaysia Government implemented the Movement Control Order (MCO) in the same year by restricting citizen movement. The COVID-19 outbreak in Malaysia under MCO 1.0 is successfully controlled...
Proceedings Article

Location Profiling for Retail-Site Recommendation Using Machine Learning Approach

Choo-Yee Ting, Mang Yu Jie
Retail site selection is a critical stage for a new retailer since it helps them to decide which locations have the best chance of delivering a good return on investment. Most of the new retailers will face problems while selecting a retail site for new business. Work presented in this paper will focus...
Proceedings Article

Neural Network-Based Cryptography: A Primary Study on the Performances and Techniques

Jia-Lin Foo, Kok-Why Ng, Palanichamy Naveen
Cybersecurity is getting more and more important in this big data era. Neural Network-based cryptosystem which is a complex system and deserve more research study for improvement. This article will discuss and analyse existing neural network-based cryptography performance and techniques. The in-depth...
Proceedings Article

A Case Study Using Machine Learning Techniques for Prediction of House Prices in WP, Malaysia

Yoon-Teck Bau, Syed Muiz Syed Badrul Hisham
The research for this study is to find out performance scores from machine learning techniques in predicting house prices as compared to its actual prices. One of the limitations of existing techniques is predictive models generated do not cover the situation within Malaysia. Therefore, a data collection...
Proceedings Article

Identifying Demographic Factors Attributed to the Infection Rate of Covid-19 in Malaysia

Jun-Ting Chan, Keng-Hoong Ng, Gee-Kok Tong, Choo-Yee Ting, Kok-Chin Khor
Since 2020, the Covid-19 pandemic has spread like wildfire across many countries, including Malaysia. The disease has caused disastrous impacts on the country’s economy, public health system, and the livelihoods of its citizens. Hence, there is an urgent need to investigate and determine the underlying...
Proceedings Article

Machine Learning Approaches to Intrusion Detection System Using BO-TPE

Yoon-Teck Bau, Tey Yee Yang Brandon
Intrusion detection system (IDS) has been intensively studied in the research community. The cyber threats that are evolving rapidly have caused a major challenge for IDS to achieve a reliable detection rate. Despite the application of various machine learning approaches to improve the efficiency of...
Proceedings Article

Email Plugin Suite for k-Resilient Identity-Based Encryption and Searchable Encryption

Kah-Wai Chew, Swee-Huay Heng
Nowadays, most of the companies use their preferred email platform to perform their daily tasks such as exchanging of messages and sharing of documents. However, it is quite often to hear the news that someone’s email account is being hacked. The malicious intention of the hackers is to hijack the users’...
Proceedings Article

Classification of Emotion Stimulation via Iranian Music Using Sparse Representation of EEG Signal

Mohammad Abdollahi, Saeed Meshgini, Reza Afrouzian, Ali Farzamnia
To interpret actions and communications in a correct way, emotion is very crucial. Emotion class recognition capability without using conventional approaches such as Self-Assessment Manikin (SAM) has been provided by Emotion Recognition EEG. Emotion Recognition with no medical and clinical examinations,...
Proceedings Article

An Experimental Study: ICA-Based Sensorimotor Rhythms Detection in ALS Patients for BCI Applications

Vahid Gerami Oskouei, Ali Naderi Saatlo, Sobhan Sheykhivand, Ali Farzamnia
Independent Component Analysis (ICA) is used in this paper to study the brain signals of patients with Amyotrophic Lateral Sclerosis (ALS) in the EEGLAB toolbox. Electroencephalography (EEG) signals are recorded in unipolar mode, wherein the Cz electrode is selected as the reference electrode. Therefore,...
Proceedings Article

J-WS: A Hybrid Unsupervised Mining Approach for Customer Segmentation in B2C e-Commerce

Muhammad Azry Bin Ali, Fang-Fang Chua, Amy Hui Lan Lim
Nowadays, with the use of technology and the Internet, it is easy to start a business, more specifically an e-commerce business. However, maintaining a consistent sale and having returning customers can prove a challenge as most businesses rely on new customers for profits and does not generate a reliable...
Proceedings Article

PlaySafe: A Digital Rights Management System for Media Content Consumption

Calvin Yee Keen Lau, Fang-Fang Chua
Digital right management (DRM) is widely used by online streaming service provider that allows them to manage and control the access rights of their copyrighted content. The existing DRM technology requires the developer to gain approval from the DRM provider company in order to access to their proprietary...
Proceedings Article

Emerging Crop Traceability Systems in Smart Farming: A Review

Ummul Hanan Mohamad, David Wong You King, Muhammad Arif bin Riza, Mohammad Nazir Ahmad
Traceability is the ability to retrieve the history, use, location or activity of an identified item, hence crop traceability system is a system that provides unique identification to the crop and tracks all information from the seed until the end product in the market. Crop traceability is beneficial...
Proceedings Article

CNN-Based Traffic Sign Recognition

Shin Wee Fiona Liou, Hau-Lee Tong, Kok-Why Ng, Hu Ng
Traffic signs are a crucial part of maintaining driver and pedestrian safety on the road since they are being designed to provide essential information and alerts of potential hazards. With the rapid development of Advanced Driver Assistance Systems (ADAS), traffic sign recognition is also becoming much...
Proceedings Article

Hand Gesture Controlled Game for Hand Rehabilitation

Angelina Chow Mei Yeng, Pang Ying Han, Khoh Wee How, Ooi Shih Yin
When getting an injury or chronic pain that affects daily activities, physiotherapy is always introduced. Usually, patients will attend a few physiotherapy sessions in the presence of their physiotherapist to learn rehabilitative exercises. Then, they are advised to have home exercises frequently for...
Proceedings Article

A Review on Industrial Revolution 4.0 (IR4.0) Readiness Among Industry Players

Nurul Izzati Saleh, Mohamad Taha Ijab, Noramiza Hashim
The Fourth Industrial Revolution (IR4.0) is a digital revolution that not only focuses on the manufacturing industry, but also involves all sectors including the service industry. The readiness of the industry players and their implementations of these technologies will be able to boost productivity...
Proceedings Article

Technology Usage for Sustainable Health and Well-being in Ecommerce Throughout the COVID 19 Pandemic

A. A. Norman, A. H. Marzuki, S. Hamid
In the recent COVID-19 pandemic, the world has seen the importance of technology usage where multiple activities were conducted virtually for life sustainability. There is an increase of activities happening in the virtual platform, supporting different types of businesses including retail and services....
Proceedings Article

Objectivity and Subjectivity Classification with BERT for Bahasa Melayu

Wing Kin Chong, Hu Ng, Timothy Tzen Vun Yap, Wooi King Soo, Vik Tor Goh, Dong Theng Cher
This research present the notion of subjectivity and objectivity in Bahasa Melayu language. Word2Vec and BERT word embedding models are created for the purpose of subjectivity classification and sentiment classification. Two types of embeddings are developed (Word2Vec and BERT) with Wikipedia data as...
Proceedings Article

Predictive Modelling of Student Performance in MMU Based on Machine Learning Approach

Jun Yang Chan, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh
This research work is to identify and forecast student performance in Multimedia University (MMU) based on machine learning approach. Surveys had been carried out to collect students’ cumulative grade point average, background, history grades, opinion towards MMU environment, and lifestyle. In this study,...
Proceedings Article

Face Mask Detection Using Deep Learning

Sufia Jasmin Binti Saiful Azian, Hu Ng, Timothy Tzen Vun Yap, Hau Lee Tong, Vik Tor Goh, Dong Theng Cher
It is vital to remain vigilant during pandemic COVID-19. Wearing a face mask is one of the crucial steps that people must take to ensure that they are a step away from spreading and infecting the virus. However, controlling and monitoring people in a densely crowded place is tough. Hence, a face mask...
Proceedings Article

Traffic Light Recognition Assistance for Colour Vision Deficiency Using Deep Learning

Jun Yong Lee, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh, Hau Lee Tong
This research intends to train a model to recognize traffic light signals in real-time to allow a person with Colour Vision Deficiency to identify the current signal of traffic lights with a mobile device's camera. First, LISA Traffic Light Dataset is downloaded obtained from Kaggle. Then, two data...
Proceedings Article

Research Framework and Design of Incorporation of Conversational Agent in Mathematics Learning

Choo Peng Tan, Choo Kim Tan, Siong Hoe Lau, Ah Choo Koo
Mathematics is a fundamental core subject of STEM education. However, mathematics concepts are abstract and many students having difficulties to understand it. Moreover, some students are lack of confident, having negative feelings towards mathematics, feel not relax and cannot focus in mathematics class....
Proceedings Article

Colour-assisted PCB Inspection System with Hardware Support for Real-time Environment

H. S. Lim, Y. L. Lee, K. M. Yap, M. H. Lin, T. K. Lian
Printed Circuit Boards (PCBs) are crucial functional components in electrical devices that require inspection during production to prevent faulty products. However, Automated Optical Inspection (AOI) machines for PCB inspection are costly, especially for small production lines. Previous studies showed...
Proceedings Article

A Residual CNN Model for ICD Assignment

Darryl Lin-Wei Cheng, Choo-Yee Ting, Chiung Ching Ho
International Classification of Diseases (ICD) has been used as a standardized way of classifying a diagnosis or a medical procedure. ICD has also been employed to keep track of illness progression and treatment purposes. However, the assignment methods often require manual input of medical professionals...
Proceedings Article

MovErArm: Virtual Reality Game for Physical Rehabilitation

Eugene Lee Choon Meng, Quek Albert
Post-stroke individuals may suffer from long term or permanent physical impairments. Physical Rehabilitation is an important process to help post-stroke individuals to regain motor ability and reduce impairments. Traditional methods such as Constraint Induced Movement Therapy (CIMT) and modified Constraint...
Proceedings Article

Preliminary Study on Shadow Detection in Drone-Acquired Images with U-NET

Siti-Aisyah Zali, Shahbe M-Desa, Zarina Che-Embi, Wan-Noorshahida Mohd-Isa
This study shows a preliminary investigation of shadow detection in drone-acquired images using a deep learning method with minimal labelled shadow images. The aim is to discuss how the selected U-Net architecture performs in a small-sized dataset consisting of various types of shadow brightness and...
Proceedings Article

Mediating Schema Ontology for Linked Open Data Cloud Integration Using Bottom-Up Schema Mapping

Heru Agus Santoso, Su-Cheng Haw, Chien-Sing Lee
Flexible data integration from heterogeneous sources, formalization of database schema, and consequent support and facilitation of knowledge discovery have become crucial to gaining competitive advantage. Consequently, its validity (“building the right system”), verification (“building the system right”),...
Proceedings Article

QR Steganography for Information Hiding of Patient Record

Angkay Subramaniam, Wan-Noorshahida Mohd-Isa, Timothy Yap
In recent research studies, biosignals are used to study the behaviour of a human body function which are useful for medical diagnosis. Biosignals such as electrocardiogram (ECG) signals are used to determine the irregularities in heartbeat meanwhile electroencephalogram (EEG) signal is used to record...
Proceedings Article

A Two-Stage Classification Chatbot for Suicidal Ideation Detection

Jin Xuan Chan, Sook-Ling Chua, Lee Kien Foo
Suicide remains one of the leading causes of death globally and is a serious public health problem. Compounded by the lack of mental health professionals and lack of access to mental health services, it is difficult for people with mental health issues to seek treatment. The advancements in artificial...
Proceedings Article

A Novel Hybrid Approach for Classification Problem Case Study: Heart Disease Classification

Ahmed Umer Khawaja, Yeh Ching Low
Heart disease is a major cause of death globally, with patients succumbing to death a few years of being diagnosed. This paper proposed a novel hybrid approach of Cuckoo Search Optimization – Extreme Learning Machine (CSO - ELM) to solve a classification problem. The approach was compared with established...
Proceedings Article

A Review and Analysis of Tools Used from 2018 till 2022 in Requirements Engineering

Hooi Yumun, Zarina Che-Embi
The commonly known stages in Requirements Engineering (RE) include planning, elicitation, documentation, validation, and management. Each stage consists of multiple processes and activities between stakeholders that result in data collection and analysis. Activities and data can be collected/extracted/analysed...
Proceedings Article

Automatic Face Mask Detection and Violation of Social Distancing Application

Jordan Pang Min Han, Chuan-Chin Teo, Han-Foon Neo
Ever since worldwide COVID-19 epidemic, social distancing has been prioritised and advised to practice everywhere on a daily basis. It has been and will continue to be one of the most efficient and effective measures to fight the pandemic and saving lives. In Malaysia, social distancing is a proactive...
Proceedings Article

A Hybrid Automated Essay Scoring Using NLP and Random Forest Regression

Muhammad Zaim Azri Bin Azahar, Khairil Imran Bin Ghauth
Assessing the performance of students through subjective assessments namely essays is critical in measuring their achievement during the learning process in an educational system. The essay test will evaluate the student’s ability to remember and express their ideas or opinions toward certain topics....
Proceedings Article

Machine Learning Regression Models to Predict Particulate Matter (PM2.5)

Koogan A. L. Letchumanan, Naveen Palanichamy
An increase in the quantity of fine particulates (PM2.5) in the air is a risk to the nation’s people since it can create uncontrolled repercussions such as the aggravation of cardiovascular disease and asthma. The issue of air pollution has lately surfaced as a critical concern in smart cities. The systematic...
Proceedings Article

Convolution Neural Network Models to Detect Melanoma: A Review

Naveen Palanichamy, R. Saravana Kumar, Su-Cheng Haw, Kok-Why Ng, Elham Anaam
Skin cancer is one of the most serious health issues that humans face. Dermatologists face difficulty in making a skin cancer diagnosis because many skin cancer pigments seem alike. Early detection of skin cancers like Melanoma means a better chance of survival for the patient otherwise it can be life-threatening....
Proceedings Article

Performance Analysis of OAM-Based Advanced Symbol Modulation Schemes for OFDM Over FSO System

Athirah Mohd Ramly, Angela Amphawan, Tse-Kian Neo
Previous orthogonal frequency division multiplexing over free space optics (OFDM-FSO) systems relied on signal strength, wavelength, and polarisation to multiplex data streams in order to improve signal quality and feasible connection range. Alternatively, this work leverages on orbital angular momentum...
Proceedings Article

Comparison of Word Embeddings for Sentiment Classification with Preconceived Subjectivity

Xi Jie Lee, Timothy Tzen Vun Yap, Hu Ng, Vik Tor Goh
This research looks into objectivity and subjectivity’s effects on sentiment analysis through word embeddings, namely Word2Vec, Term Frequency-Inverse Document Frequency (TF-IDF), and Bidirectional Encoder Representations from Transformers (BERT). Objectivity corpora are defined as data with a neutral...
Proceedings Article

Autoencoders with Reconstruction Error and Dimensionality Reduction for Credit Card Fraud Detection

Najmi Rosley, Gee-Kok Tong, Keng-Hoong Ng, Suraya Nurain Kalid, Kok-Chin Khor
The increase in credit card transactions has inevitably caused an increase in credit card fraud. A total of 157,688 fraud cases occurred in 2018 worldwide, causing a total loss of $24.26 billion. This paper proposes using two types of autoencoder models to detect credit card fraud. The first type uses...
Proceedings Article

Lossless ECG Signal Compression Using Non-linear Predictor and ASCII Character Encoding

Thivaagar Thamil Selvan, Kannan Ramakrishnan, Vijayakumar Vengadasalam, Rathimala Kannan
Electrocardiogram is a method of recording the heartbeat of a patient electronically. Storing or transmitting enormous amount of ECG signals to another device or via online is an unendurable process without compressing the signals. The purpose of this paper is to develop an efficient Electrocardiogram...
Proceedings Article

Comparison of Plain and Dense Skip Connections on U-Net Architecture for Change Detection

Zamfirdaus Saberi, Noramiza Hashim
In recent years, identifying changes in multitemporal images in terms of land use and land cover is significant in a variety of applications including urban planning. CNN architectures are one of the most extensively utilised methods for change detection. The aim of this research is to investigate two...
Proceedings Article

Underwater Image Semantic Segmentation with Weighted Average Ensemble

Muhammad Hidayat Jauhari, Noramiza Hashim
Underwater image segmentation is a method that could help with underwater exploration because it is useful and impactful in the understanding and study of the marine environment. However, it is a difficult and challenging task compared to regular image segmentation due to the nature of the images themselves,...
Proceedings Article

Dynamic Hand Gesture Recognition Based on Deep Learning for Muslim Elderly Care

Hadya Ayeisha Marzuki, Noramiza Hashim
Gesture recognition for elderly care is an approach to classify gestures performed by the elderly to convey specific messages. Nursing homes or caretakers are often hired to take care of senior citizens and are responsible to keep them safe. Hence, this study will be useful to assist caretakers in providing...
Proceedings Article

Comparison of Deep Learning Methods for Underwater Image Enhancement

An’nissa Ariqah Jobli, Noramiza Hashim
Underwater image enhancement is an important process in image processing due to the images often suffering from severe degradation causes by the nature of light and underwater environment. The purpose of this research is to study the existing methods and algorithms for enhancing underwater images. In...
Proceedings Article

Integration of Pedagogical Agent in Learning

Choo-Kim Tan, Huai-Swan Khoo, Choo-Peng Tan, Wooi-Ping Cheah
Research found that the use of technology in teaching and learning is able to reduce mathematics anxiety by initiating students’ motivation to explore and enjoy mathematics instead of feeling worries over it. There is a better human-computer interaction for student engagement and motivation in learning...