Rizalafande Che Ismail
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Rizalafande Che Ismail
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Rizalafande, Che Ismail
Alternative Name
Ismail, Rizalafande C.
Rizalafande, Che Ismail
Chesmail, R.
Ismail, R. C.
Che Ismail, Rizalafande
Ismail, Rizalafande Che
Ismail, R. Che
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Scopus Author ID
22634128600

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  • Publication
    Assessing Student Visual Fatigue in Virtual Semiconductor Labs via Head-Mounted Displays: A Computer Vision Syndrome Questionnaire (CVS-Q)
    ( 2023-01-01)
    Alnagrat A.J.A.
    ;
    Rizalafande Che Ismail
    ;
    Akeel A.A.A.
    ;
    Salem A.A.M.A.
    ;
    Khalefah S.E.A.S.
    ;
    Syed Zulkarnain Syed Idrus
    This paper evaluates visual fatigue among students in a virtual semiconductor lab using HMDs - the HP Reverb G2 and Oculus Quest 2 - and the CVS-Q questionnaire. The study measures the frequency of visual fatigue symptoms (never, occasionally, or always) and aims to determine the effects of HMD usage on visual fatigue and eye strain, providing insight into the benefits and drawbacks of using HMDs in virtual labs. The study was conducted during the COVID-19 pandemic and aims to determine the effects of HMD usage on visual fatigue and eye strain among students in a virtual semiconductor laboratory learning environment. The results of this evaluation will provide insight into the potential benefits and drawbacks of HMD usage in virtual laboratory environments and inform the development of strategies to mitigate visual fatigue.
  • Publication
    An Analysis of Interpolation Implementation for LNS Addition and Subtraction Function in Positive Region
    ( 2016)
    Siti Zarina Md Naziri
    ;
    Rizalafande Che Ismail
    ;
    Ali Yeon Md Shakaff
    Interpolation is among of the most popular approach used in approximating the values in logarithmic number system (LNS) arithmetic design. This method that often combines with lookup tables (LUTs) manages to produce efficient LNS design in area, latency and accuracy. Current research proves that the combination of interpolators with co-transformation in LNS subtraction had shown extreme improvements in terms of speed and area, which is comparable to floating point (FLP) performance. Taking the advantage, this research had been conducted to analyze the implementation of these three interpolators, which are Taylor, Lagrange and modified Lagrange, in a 32-bit environment of the LNS addition and subtraction procedures with the first-order co-transformation in positive region. The designs were analyzed in two categories, which are the accuracy towards FLP and the total memory consumption. The best interpolator was selected based on the most optimum area consumption design with manageable accuracy in FLP limit. The outcome of this analysis could benefit further improvements in LNS design.
  • Publication
    An Evaluation of User Experience in a Virtual Semiconductor Laboratory Utilizing HMDs during Covid-19 Pandemic
    ( 2023-01-01)
    Alnagrat A.J.A.
    ;
    Mohamed A.S.I.
    ;
    Akeel A.A.A.
    ;
    Rizalafande Che Ismail
    ;
    Noureldeen A.M.I.
    ;
    Syed Zulkarnain Syed Idrus
    Virtual reality (VR) technology has been increasingly adopted for creating engaging educational environments, such as virtual laboratories. This study evaluated the user experience of a virtual semiconductor laboratory environment, utilizing Reverb G2 HMD VR headsets, through a user experience questionnaire (UEQ-S) and a psychometric analysis of its 26 items. Results showed that most participants found the virtual laboratories enjoyable, understandable, creative, easy to learn, and valuable. The psychometric analysis revealed relatively consistent and reliable construct related to user experience. The Kruskal-Wallis H test demonstrated that participants perceived the VR headsets to be easier to use when they found the virtual laboratories more enjoyable. However, there were no significant differences in user experience scores based on preferred VR headset, and user experience did not predict headset preference. These findings suggest that VR technology presents a promising solution for addressing practical challenges in education and fostering student engagement, although further research is needed to optimize the user experience and enhance student motivation.
  • Publication
    The impact of digitalisation strategy in higher education: technologies and new opportunities
    ( 2022-02)
    Ahmed Jamah Ahmed Alnagrat
    ;
    Rizalafande Che Ismail
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Uonis Ali Imbayah Abukhatowah
    ;
    Valarmathie Gopalan
    Over the last 50 years, worldwide education has grown remarkably at all levels. Historically, these expanded education systems have never faced a greater challenge than COVID-19. The governments have forced the university to switch to online learning and virtual education overnights. As a result of COVID-19's disruptions to learning trajectories, institutions, lecturers, and students will continue to seek flexible ways to mitigate damage. The article incorporates a review of academic and policy literature concerning digitalisation and online learning in universities and how digitisation contributes to universities' development. The article outlines several useful strategies and steps to put into words how to develop a strategy for education during COVID-19. In this article, we explore processes, issues, and impacts of the rapid shift to digitalisation in higher education institutions (HEIs). The method has been used through online search in literature using bibliographic databases from the most relevant publications such as Scopusand Web of Science databases examined based on abstract and key words. This article discusses some of the ongoing issues that HEIs faced when they had to rapidly move their teaching online during the pandemic. For most HEIs and organisations across the globe, COVID-19 has accelerated the speed at which digitalisation and digital ways of working and service delivery include new ways of learning and working such as virtual reality (VR) technology. This has led to a recognition of the need for practically focused, effective inclusive digital interventions. The findings of this study indicate that policies and strategies are important for HEIs to overcome the COVID-19 challenges by using digital learning technology to plan and implement strategies for sustaining educational systems.
  • Publication
    Machine vision for laser defect in PV solar modules
    ( 2016)
    R. Shuaimi
    ;
    Rizalafande Che Ismail
    ;
    Mohd Nazrin Md Isa
    ;
    Sohiful Anuar Zainol Murad
    This paper presents a new methodology in inspection on laser scribe defect of PV thin film solar modules. The work focuses on the application of machine vision as an inspection tools which has successfully integrated in other manufacturing environment as pattern recognition utility. Compared to manual inspection by human, machine vision system could offer better measurement accuracy as scribe defects are extremely hard to detect due to their small sizes and complexity of the detection process. Studies were made to identify machine vision system screening capabilities to define different scribe defect by their inspection criteria. Current result with paper and broad samples indicates that the propose system can be used effectively to replace human evaluators that currently employs in manufacturing quality control. © 2016 IEEE.
  • Publication
    Enhancing fractal image compression speed using peer adjacent mapping with sum of absolute difference for computed radiography images
    ( 2020)
    N. A. Z. Rahman
    ;
    Rizalafande Che Ismail
    ;
    Ahmad Husni Mohd Shapri
    ;
    Mohd Nazrin Md Isa
    The encoding phase in full-search fractal image compression (FIC) is time-intensive as a sequential search must be performed through a massive domain pool to find the best-matched domain for each block of ranges. In this paper, a peer adjacent with the sum of absolute difference (SAD) mapping has been suggested to enhance the FIC speed while retaining the reconstructed image quality. The SAD similarity measure applied in searching the most matching domain between domain pool for a range before transformation in order to shorten the mapping process. Therefore, instead of performing a complete search in the next level, one requires to only search a close neighbourhood of the region computed from the previous search. The efficiency of the proposed method is evaluated using standard test image, SMPTE test pattern and standard computed radiography digital images from JSRT database, from which the peak signal-to-noise ratio (PSNR), compression time and compression ratio are calculated. The experimental results validate the effectiveness of the proposed method.
  • Publication
    A Novel Double Co-Transformation for a Simple and Memory Efficient Logarithmic Number System
    ( 2020-07-01)
    Basir M.S.S.M.
    ;
    Rizalafande Che Ismail
    ;
    Mohd Nazrin Md Isa
    To date, co-transformation architecture is typically used in resolving the singularity issue in the logarithmic number system (LNS). The co-transformation was first introduced by Coleman, by using a rule of sign(r1) ≠ sign(r2) which translate the singularity into an argument that can be stored in two identical look-up tables (LUTs) with size of 2k. Recently, a portable 32-bit chipset preferred a small LUT, hitherto a co-transformation architecture is rearranged. This paper presents a novel double co-transformation, by means of first-order co-transformation architecture that covers-0.5 < r < 0 region is extended to r >-1 to replace the triumvirate F, D and E tables occupy by the interpolator. The accuracy settings at the co-transformation is compromised with the worst case error of 0.5 ulp. The outcome revealed a double co-transformation with Lagrange interpolator shows a decline in the total bit by 13% compared to European Logarithmic Microprocessor (ELM). With a simple architecture, the proposed double co-transformation is a promise for a fast LNS system.
  • Publication
    An Investigation of Extended Co-Transformation using Second-Degree Interpolation for Logarithmic Number System
    ( 2020)
    M. S. S. M. Basir
    ;
    Rizalafande Che Ismail
    ;
    Siti Zarina Md Naziri
    This paper addresses the proposal of improved logarithmic number system (LNS) with extended co-transformation and memory efficient second-degree Newton interpolator. Since the current interpolation with extension requires 4 look-up tables (LUTs), improvement is proposed to achieve requirement by employing only 3 LUTs with small silicon area. It was found that with the proposed extended co-transformation, a set of interpolation LUT that covered region-1 < r <-0.5 could be eliminated. Results from GNU simulator indicated that the maximum error for the proposed Newton interpolation was 9% lower compared to other current interpolators, although the total memory was unsatisfactory. An Implementation shows an efficient memory for a new LNS system, hence benefited for a dynamic real-time computation
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  • Publication
    Investigation of Scribing Quality Defect of Thin Film Solar Cell Using Machine Vision
    ( 2020-12-18)
    Shuaimi R.
    ;
    Rizalafande Che Ismail
    ;
    Hazwan Hadzir M.N.
    ;
    Mohd Annuar Mohd Isa
    ;
    Asral Bahari Jambek
    Laser micromachining provide significant effect in thin film solar industrial field especially in determining cell efficiency of each panels. However, there is an issue in determining scribing failure or defect on solar module. This research aims to investigate the defects of laser micromachining process in thin film solar module in manufacturing fields. Machine vision inspection system is used as inspection tools and to investigate the defect of laser micromachining in thin film solar cells. As a result, two major defects is define which is scribe line quality and scribe line position defects in every scribe line. By identifying the defect cause by laser micromachining through machine vision, quality control plan can be taken together to prevent reoccurrence.
      2  19
  • Publication
    Virtual Laboratory Learning Experience in Engineering: An Extended Technology Acceptance Model (TAM)
    ( 2023-01-01)
    Ahmed Alnagrat A.J.
    ;
    Ahmed K.M.S.
    ;
    Alkhallas M.I.
    ;
    Almakhzoom O.A.I.
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Rizalafande Che Ismail
    This research presents an enhanced version of the Technology Acceptance Model (TAM), which integrates usability and learning objectives to evaluate the effect of adopting virtual laboratories on student performance. Data from 97 participants, gathered via a survey, was used to examine the correlation between perceived usefulness (PU), perceived ease of use (PEOU), and intention to use (IU) concerning their experiences and outcomes with a simulation-based virtual laboratory. A custom questionnaire was designed to assess TAM components, namely PU, PEOU, and IU, specifically in the context of virtual laboratory learning environments. Findings indicate that the integration of specific laboratory learning objectives fosters the creation of a more credible and authentic simulation tool. This, in turn, optimizes the learning process and enhances students' learning outcomes. The refined TAM model provides valuable insights into the determinants of user acceptance of virtual laboratories and offers practical guidance for educators and instructional designers to construct more effective and efficient virtual laboratory environments in educational contexts.
      1  12