Mohd Nizam Ayub

University of Malaya | UM · Department of Computer System & Technology

The Internet of Things (IoT) is a fast-growing technology that enable existing systems to communicate with one another by using new devices such as sensors and other smart devices. The IoT devices such as wireless sensors and other smart devices are often very cheap, very small, and have limited power sources, memories, and processing capabilities....

Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and...

Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting-edge detection methods in the context of news, user, and social levels. Fake news detection taxonomy wa...

Understanding document images uploaded on social media is challenging because of multiple types like handwritten, printed and scene text images. This study presents a new model called Deep Fuzzy based MSER for classification of multiple document images (like handwritten, printed and scene text). The proposed model detects candidate components that...

In recent years, the usage of social media has been increasing exponentially because of its various real world applications in digital communication such as content sharing, entertainment, creating awareness, sending alerts, etc. One such task is to upload images/videos, write comments and post user reactions to express feedback, which can then be...

Industrial internet of things (IIoT) is the usage of internet of things (IoT) devices and applications for the purpose of sensing, processing and communicating real-time events in the industrial system to reduce the unnecessary operational cost and enhance manufacturing and other industrial-related processes to attain more profits. However, such Io...

The implementation of efficient security mechanisms for Radio Frequency Identifica-tion (RFID) system has always been a continuous challenge due to its limited computing resources.Previously, hash-based, symmetric-key cryptography-based and elliptic curve cryptography based securityprotocols were proposed for RFID system. However, these protocols a...

With the rapid advancement in digital technologies, video rises to become one of the most effective communication tools that continues to gain popularity and importance. As a result, various proposals are put forward to manage videos, and one of them is data embedding. Essentially, data embedding inserts data into the video to serve a specific purp...

The implementation of efficient security mechanisms for Radio Frequency Identification (RFID) system has always been a continuous challenge due to its limited computing resources. Previously, hash-based, symmetric-key cryptography-based and elliptic curve cryptography based security protocols were proposed for RFID system. However, these protocols...

Background: The interest in using fractional calculus operators has grown in the field of image processing. Image enhancement is one of image processing tools that aims to improve the details of an image. The enhancement of medical images is a challenging task due to the unforeseeable variation in the quality of the captured images. Methods: In...

Smart manufacturing optimizes productivity with the integration of computer control and various high level adaptability technologies including the big data evolution. The evolution of big data offers optimization through data analytics as a predictive solution in future planning decision making. However, this requires accurate and reliable informat...

It is becoming a trend to apply an emotional lens and to position emotions as central to educational interactions. Recently, affective computing has been one of the most actively research topics in education, attracting much attention from both academics and practitioners. However, despite the increasing number of papers published, there still are...

Due to the power and impact of social media, unsolved practical issues such as human trafficking, kinship recognition, and clustering family photos from large collections have recently received special attention from researchers. In this paper, we present a new idea for family and non-family photo classification. Unlike existing methods that explor...

Gamification has gained considerable interest in education circles due to its capability of enhancing the learning process among students. In the future, it is expected that gamification will overtake the traditional way of learning resulting in issues such as scalability, upgradation of learning modules. To address these issues, merging gamificati...

Smart manufacturing enables an efficient manufacturing process by optimizing production and product transaction. The optimization is performed through data analytics that requires reliable and informative data as input. Therefore, in this paper, an accurate data capture approach based on a vision sensor is proposed. Three image recognition methods...

The main purpose of k-Means clustering is partitioning patterns into various homogeneous clusters by minimizing cluster errors, but the modified solution of k-Means can be recovered with the guidance of Principal Component Analysis (PCA). In this paper, the linear Kernel PCA guides k-Means procedure using filter to modify images in situations where...

Herein, artifcial neural network and adaptive neuro-fuzzy inference system are employed for modeling the effects of important parameters on heat transfer and fuid fow characteristics of a car radiator and followed by comparing with those of the experimental results for testing data. To this end, two novel nanofuids (water/ethylene glycol-based grap...

Game-based Learning (GEL) is an alternative method for learners to experiencing a volatile environment in a safe place. In this environment, an alternative technique is required to facilitate the learning and to prevent injuries and potential hazards. Subjects involving elasticity are commonly considered as a hazardous issue and can cause injuries...

Satellite-based remote sensing imaging can provide continuous snapshots of the Earth’s surface over long periods. River extraction from remote sensing images is useful for the comprehensive study of dynamic changes of rivers over large areas. This paper presents a new method of extracting rivers by using training samples based on the mathematical m...

Game-based Learning (GBL) is an alternative method for learners to experiencing a volatile environment in a safe place. In this environment, an alternative technique is required to facilitate the learning and to prevent injuries and potential hazards. Subjects involving elasticity are commonly considered as a hazardous issue and can cause injuries...

Affective computing is currently one of the growing research interests specifically in educational settings. Although research studies on affective computing has increased significantly over the past years, there are deficiencies in the in-depth literature review and classification of that research based on different affective recognition instrumen...

This paper reports on an initiative that discovers the potentials of digital interactive books or digital storytelling in developing and inculcating interpersonal skills among children. The rationale for such initiative is to help designing technology for good deeds for the children, who are the future leaders, because they are very much engaged wi...

Mathematical models for rivers differ according to the properties of the river. These models can be classified into drying–wetting, motion, masses, resources, and so on. This paper studies a system for practical water level prognostication and prediction during dry–wet seasons at the Terengganu River. The mathematical model is a generalized master...

Mel-frequency cepstrum coefficients (MFCCs) extracted from speech recordings has been proven to be the most effective feature set to capture the frequency spectra produced by a recording device. This paper claims that audio evidence such as a recorded call contains intrinsic artifacts at both transmitting and receiving ends. These artifacts allow r...

Sources such as speakers and environments from different communication devices produce signal variations that result in interference generated by different communication devices. Despite these convolutions, signal variations produced by different mobile devices leave intrinsic fingerprints on recorded calls, thus allowing the tracking of the models...

PhyVis is an adaptive learning environment for problem solving through creating visualization as verification of understanding in Physic problems. The common problem among students is they have difficulty to understand the schemata and principles of Physics which hidden behind the formulas. We use visualization to highlight and explicit these schem...

The future of multimedia technology is guided on how it is utilized. One particular domain that has shown a lot of potential form multimedia use is the education sector. This paper will try to explain the process of development a multimedia tool that will be used to construct educational teaching and learning materials or otherwise known as coursew...