A.P Dr Norma Binti Alias

Universiti Teknologi Malaysia | UTM · Faculti Of Science UTM Malaysia

Fuzzy topological topographic mapping (FTTM) is a mathematical model that consists of a set of homeomorphic topological spaces designed to solve the neuro magnetic inverse problem. The key to the model is its topological structure that can accommodate electrical or magnetic recorded brain signal. A sequence of FTTM, FTTMn, is an extension of FTTM w...

Several workshops were conducted in Malaysia and Indonesia to create and spread Education 4.0 awareness among education practitioners. A survey-based questionnaire distributed at the end of each workshop aim to capture participants’ perception on the impact of the session. The analysis of the questionnaire shows the implementation of Education 4.0...

Eye tracking is a popular indicator to measure student’ attention and ability to focus based on eye movement and eye position. In this era of Education 4.0, interface design, user experience and privacy issues prevent people from using wearable devices, which make it difficult to measure paper visual behavior and fine eye movement for several diffe...

MATLAB Distributed Computing Server (MDCS) and Parallel Virtual Machine (PVM) software are two types of distributed computing environments. MDCS is recently used in selecting the best network training algorithm and assessing the effect of parallelization. Since it is practical and user friendly, it gives PVM the opportunity to become the communicat...

Fuzzy topological topographic mapping (FTTM) is a mathematical model which consists of a set of homeomorphic topological spaces designed to solve the neuro magnetic inverse problem. A sequence of FTTM, FTTMn, is an extension of FTTM that is arranged in a symmetrical form. The special characteristic of FTTM, namely the homeomorphisms between its com...

The COVID-19 pandemic period has become a distraction and a challenge for the café business due to physical restrictions and large numbers of employees working from home. This research aims to describe how local labeling brands can increase coffee shop visits during the COVID-19 pandemic in Indonesia. While conducting this research, the authors use...

The objective of the current investigation is to examine the influence of variable viscosity and transverse magnetic field on mixed convection fluid model through stretching sheet based on copper and silver nanoparticles by exploiting the strength of numerical computing via Lobatto IIIA solver. The nonlinear partial differential equations are chang...

Graphics processing unit (GPU) has become a powerful computation platform not only for graphic rendering purposes, but also for multi-purpose computations. Using various software, such as NVIDIA’s Compute Unified Device Architecture (CUDA) programming model, the developers can use the GPU without a graphics programming background. In this paper, we...

Undoubtedly, early detection and characterization of brain tumor is critical in clinical practices. Automated diagnosis using neuroimaging tool like MRI guided by machine learning approaches has been the focus of numerous researches. In this study, various feature extraction, dimensionality reduction and supervised classification models are explore...

This paper studies the effect of Quranic therapy on psychological diseases and spiritual diseases. The experiments have been conducted on a random sample with 121 patients from both genders. The procedures that have been followed were different sessions with the patients, who were given some verses from the Holy Quran to listen within a specific pe...

Manual interpretation of these huge amounts of image volumes are susceptible to inter-reader variability and human error. Thus, accurate automated CAD scheme is highly desirable in clinical pathological diagnosis. In this research, plethora of machine learning paradigms (e.g. feature extraction, dimensionality reduction and supervised classificatio...

Application of machine learning in multiclass classification of brain tumor types has contributed to the development of computer aided diagnosis (CAD) system that can potentially enhance accuracy and speed up diagnosis of the disease. LDA+ELM model with different activation functions were investigated to achieve the optimum performances in terms of...

The investigation towards rate of growth for the curing process of thermoset nanocomposites materials is of great concern to most engineering and chemistry researchers since it is closely related to our natural resources, and has valuable properties. It is important to tailor and control the waste composite materials temperature profile during curi...

A nanosensor can be described as a chemical or mechanical sensor that can transfer data and information about the behavior and characteristics of nanoparticles at the nanoscale level or macroscopic level. In environmental applications, nanosensors using gold nanoparticles are widely employed. A gold nanoparticle production method using a photochemi...

Fuzzy topological topographic mapping (FTTM) is a set of topological spaces and algorithms which is applied in solving neuro magnetic inverse problem. The special characteristic of FTTM, namely the homeomorphisms between its components, allow the construction of new FTTM from components of different of FTTM. These generated FTTMs can be represented...

The inaccurate prediction of tumour is because of the 2D images do not present the complete natural tumour representation as in 3D visualization. In order to construct the 3D model, the contour of 2D MRI images must be merged together. In this work, the edge detection of brain tumour on 2D images is done using the Geodesic Active Contour (GAC) mode...

A control process based on the mathematical modeling of phase change simulations was used to address process limitations of tire tread manufacturing process. The objective of this model was to predict and monitor expected characteristic identifications respect to space and time. This paper proposes a high-performance control process for visualizing...

This paper presents a CPU-GPU architecture for 3-dimensional human head reconstruction. The CT scan images of human head are processed to get the surface points, before spline surface are fitted to the points. In the process, a step is chosen to be executed on the GPU which is the cumulative sum calculation. This is because this step executes high...

The development of the simulation software aims at anticipating the growth of breast cancer. Based on certain numerical iterative methods, this simulation works with discretization and Partial Differential Equation (PDE). As a class of Helmholtz equations, PDE approach are known to govern the growth of this type of cancer. Considering both time and...

Fuzzy topological topographic mapping (FTTM) is developed to solve neuro magnetic inverse problem. Due to its special characteristics, namely the homeomorphism between its components, new elements can be generated using components of different version. The generated element can be depicted as a graph. A graph of pseudo degree zero is generated by F...

This study attempted to mitigate the gap in literature concerning a one serious problem in Saudi society and government is cyber harassment. This problem is caused through the increasing use of technology. Accordingly, the main objective was to explore the factors that influence the intention to minimize cyber harassment among Saudi citizen. In thi...

This study attempted to mitigate the gap in literature concerning a one serious problem in Saudi society and government is cyber harassment. This problem is caused through the increasing use of technology. Accordingly, the main objective was to explore the factors that influence the intention to minimize cyber harassment among Saudi citizen. In thi...

This research examines university students’ intention to utilize e-learning. In this research, we apply and use the theory of technology acceptance model (TAM). We employ structural equation modelling (SEM) approach with a SmartPLS software to investigate students’ adoption process. Findings indicates that the content of e-learning and self-efficac...

The issue of e-waste is becoming an increasingly threatening problem as it contains many toxic materials that can severely harm both human beings and the environment. This problem is expected to worsen if not serious efforts are taken to manage this e-waste. The current paper introduced quantity of e-waste generated and their negative impact on bot...

This paper studied the implementation of Artificial Neural Network (ANN) where it well-known recently in veterinary disease research field in Malaysia. The parameter identification under consideration is types of animal disease, types of species and locations of disease based on the Geographical Information System (GIS) data set. There are many typ...

Naturally, the mathematical process starts from proving the existence and uniqueness of the solution by the using the theorem, corollary, lemma, proposition, dealing with the simple and non-complex model. Proving the existence and uniqueness solution are guaranteed by governing the infinite amount of solutions and limited to the implementation of a...

The objective of this study is to develop a kinetic model correlating the effect of heating temperature and the duration of thermal treatment on HMF formation for different types of honey from different geographical locations. In this study, the experimental data from previous research papers for European and Asian honey was collected from year 199...

The issue of e-waste is becoming an increasingly threatening problem as it contains many toxic materials that can severely harm both human beings and the environment. This problem is expected to worsen if not serious efforts are taken to manage this e-waste. The current research introduced the best strategies and techniques with managerial efforts...

Eyes blinking and its movement can portray many reasons of the body and health state. Eyes can blink intentionally and sometimes randomly even in sleeping mode. Thus, the aim of this paper is to discover and observe the relationship between the frequency of eye blink and the level of eye muscle stress. The eye track data is fed directly into the el...

In this paper, we present an edge-based image segmentation technique using modified geodesic active contour model to detect the desired objects from an image. The stopping function of the proposed model has been modified from the usual geodesic active contour model. The modified geodesic active contour model is discretized using finite difference m...

The Implications of big data analytics of current trends in nanotechnology theory, model and simulation are becoming impressive issues. The potential applications of nanotechnology in the industrial sector, identifying and prioritizing research across the emerging technology are motivating to perform the integration between the conceptual framework...

This research provided a systematic literature review of theoretical models on interaction and collaborations regarding Information system (IS) and Information Technology (IT). This paper conducted an review of studies dedicated to (IS & IT) on the basis of certain dimensions namely, research theories, review of constructivist theories, definitions...

Tumor classification using image processing techniques is becoming a powerful tool nowadays. Based on the importance of this technique, the motivation of this review paper is to present the chronology of brain tumor classification using the digital images and govern the mathematical modeling and simulation of intelligent systems. The intelligent sy...

Tumor classification using image processing techniques is becoming a powerful tool nowadays. Based on the importance of this technique, the motivation of this review paper is to present the chronology of brain tumor classification using the digital images and govern the mathematical modeling and simulation of intelligent systems. The intelligent sy...

This paper presents some integrated mathematical modeling and simulation for visualizing a 3D medical image and estimating the volume of tumor growth. Thus, these two indicators will determine the pathology zone and to provide revised evidence-based on tumor histology, location, growth and the treatment effect. There are three phases of modeling an...

The fragmented programming system LuNA is based on the Fragmented Programming Technology. LuNA is a platform for building automatically tunable portable libraries of parallel numerical subroutines. This paper focuses on the parallel implementation of the IADE method for solving 1D partial differential equation (PDE) of parabolic type using LuNA pro...

The process of analyzing large data and verifying a big data set are a challenge for understanding the fundamental concept behind it. Many big data analysis techniques suffer from the poor scalability, variation inequality, instability, lower convergence, and weak accuracy of the large-scale numerical algorithms. Due to these limitations, a wider o...

The current paper investigates both interactivity and engagement of using social media in collaborative learning and its impact on academic performance as addressed in previous literature. In particular, the investigation of this paper is conducted in the context of lea rning the Quran and Hadith. Through the application of the constructivism theor...

This paper involves a systematic and organized review of 155 research articles regarding Information Technology (IT) based on the Islamic perspective from 1992 to 2016. An analysis of studies dedicated to IT from the Islamic perspective was carried out on the basis of certain dimensions, namely, journal, country, author, year of publication, resear...

Social media has been suggested as an effective tool for educational purpose. Therefore, this study is conducted on two theories, constructivism theory and Technology Acceptance Model (TAM). Moreover, this study conducted an analysis of studies dedicated to social media use for collaborative learning and engagement based on previous research proble...

In order to achieve their business goals, educational organizations and institutions all over the World have become more dependent on information and communication technology (ICT). Internet services contributed to the improvement of the teaching-learning process, researches and other related activities. The cloud computing technology has effective...

The paper presents some advanced high performance (HPC) and parallel computing (PC) methodologies for solving a large space complex problem involving the integrated difference research areas. About eight interdisciplinary problems will be accurately solved on multiple computers communicating over the local area network. The mathematical modeling an...

Eye movement behaviour is related to human brain activation either during asleep or awake. The aim of this paper is to measure the three types of eye movement by using the data classification of electroencephalogram (EEG) signals. It will be illustrated and train using the artificial neural network (ANN) method, in which the measurement of eye move...

In this paper, the identification of contour medicinal leaves and GIS images has been determined. The purposes of the Geodesic Active Contour-Additive Operating Splitting (GAC-AOS) modelling are to identify an unknown type of medicinal leaves and edge detection of our images. Besides, three iterative methods such as SOR, RBGS and Jacobi method are...

Abstract — This research provides a literature review related with social media used for collaborative learning and engagement in turn, to affect students' academic performance in higher education. Therefore, the main objective of this research is to review models on social media use for active collaborative learning and engagement by interactive a...

In this research article, numerical solution of nonlinear 2nd order two-point boundary value problems (TPBVPs) is discussed by the help of nonlinear shooting method (NLSM), and through the modified nonlinear shooting method (MNLSM). In MNLSM, fourth order Runge-Kutta method for systems is replaced by Adams Bashforth Moulton method which is a predic...

This paper proposed the several real life applications for big data analytic using parallel computing software. Some parallel computing software under consideration are Parallel Virtual Machine, MATLAB Distributed Computing Server and Compute Unified Device Architecture to simulate the big data problems. The parallel computing is able to overcome t...

Two-dimensional (2-D) ice flow thermodynamics coupled model acts as a vital role for visualizing the ice sheet behaviours of the Antarctica region and the climate system. One of the parameters used in this model is ice thickness. Explicit method of finite difference method (FDM) is used to discretize the ice thickness equation. After that, the equa...

The work reported here focuses on the controllability expressions in the mathematical modeling of dehydration process of food concentrates in producing powder using spray-DIC (spray-Détente Instantaneé Controlee or spray-instant controlled pressure drop). This paper presents the second-order partial differential equations for mathematical modeling...

In this research article, the non-linear shooting method is modified (MNLSM) and is considered to simulate Troesch’s sensitive problem (TSP) numerically. TSP is a 2nd order non-linear BVP with Dirichlet boundary conditions. In MNLSM, classical 4th order Runge-Kutta method is replaced by Adams-Bashforth-Moulton method, both for systems of ODEs. MNLS...

A new design of mathematical model of therapeutic compound in blood flow patterns in a capillary attached the magnetic nanoparticles by the external magnetic field which is applied uniformly is considered. The blood flowing through the capillary is dominated to be Newtonian and the flow is assumed unsteady, incompressible and laminar. Based on the...

To reproduce and improve the efficiency of waste composite materials with consistence and high quality, it is important to tailor and control their temperature profile during curing process. Due to this phenomenon, temperature profile during curing process between two layers of composite materials, which are, resin and carbon fibre are visualized i...

The drying process is most popular preservation methods. It is important in producing the powder and natural dye by concentration fruit drying. Spray-DIC is one of the concentration techniques for drying process using the nozzle flow application in computational fluid dynamic. The mathematical modeling for drying process in this paper includes mass...

Nowadays, to develop new generation of nanodevices, most researchers such as chemists, physicists, biologists, even the engineers are focusing their studies towards the uniqueness as well as the chemical properties of metal nanoparticles. Even, the mathematician also has governed the appropriate mathematical modelling regarding of properties of nan...

This paper presents the high performance nanotechnology software (HPNS) to enable scientific researchers for predicting, visualizing and observing the temperature behavior and some parameters characteristics of nanochip system and nanowire fabrication. The analysis of scientific algorithms and high performance computing are searchable through a use...

Thermomechanical ice sheet model is applied to simulate ice sheet behavior in the Antarctic region. The parameters involved are ice thickness, ice temperature and ice velocity. This model is proposed by Bueler (2012)[1]. It corresponding roughly to the two-dimensional European Ice Sheet Modeling Initiative (EISMENT) experiment and the thermomechani...

The OER is a comparatively innovative phenomenon which perhaps seen as a part of a bigger movement towards openness in advanced education including more familiar and recognized trends, for example Open Access (OA) and Open Source Software (OSS). This study introduces a web based service for collaborative authoring learning to create, share and expl...

A chronology of mathematical models for heat and mass transfer equation is proposed for the prediction of moisture and temperature behavior during drying using DIC (Détente Instantanée Contrôlée) or instant controlled pressure drop technique. DIC technique has the potential as most commonly used dehydration method for high impact food value includi...

Electroencephalography (EEG) is a neuroimaging technique for localizing active sources within the brain, from knowledge of electromagneticmeasurements outside the head. Recognition of point sources from boundary measurements is an ill-posed inverse problem. InEEG, measurements areonly accessible at electrode positions, the number of sources is not...

The computational analysis of three case studies using parallelization of Alternating Group Explicit (AGE) solver is presented. Based on (2×2) block system and splitting strategy, AGE with Douglas-Richford and Brian variances are applied to simulate the large sparse PDEs applications with parabolic and elliptic types. The applications are heat equa...

Muscle stress is a disease resulting from performing too much effort, sport fitness or high blood pressure problem. This paper focuses on the mathematical modeling of crack propagation that applies on the human muscle stress. The modeling describes the relationship between the temperature and crack propagation among targeted region, node and elemen...

High performance computing is the branch of parallel computing dealing with very large problems and large parallel computers that can solve those problems in a reasonable amount of time. This paper will describe the parallelization of the Keller-box method using the high performance computing on heterogeneous cluster of workstations. The problem st...

This paper presents the parallel implementation and performance analysis of a large sparse matrix of one dimensional parabolic Partial Differential Equation (PDE) between Parallel Virtual Machine (PVM) and Matlab Distributed Computing (MDC) platform. PVM is a software to perform parallel programming using heterogeneous or homogeneous clusters of pa...

This paper presents the design and development of the digital temperature sensor (DTS) for data collecting of temperature behavior and heat flow profile. The transition of collected temperature is implemented by reading the analogue signals from temperature sensor and convert into digital signal. Then, the High Performance Computing software (HPC)...

In the last few years, land demands in Iskandar Malaysia become important issues for stakeholders and town planners. Our study case area is at Nusajaya, Iskandar Malaysia. The motivation and the goal of this paper is to investigate four mathematical modelling in image processing integrate with GIS such as CA-GIS integration, ANN-GIS integration, ne...