Conference Publications

;

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(r 1 ) ≠ sign(r 2 ) 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

A Real-Time distance prediction via deep learning and microsoft kinect

( 2022)

Hwee Sheng Tham

;

Razaidi Hussin

;

3D(Dimension) understanding has become the herald of computer vision and graphics research in the era of technology. It benefits many applications such as autonomous cars, robotics, and medical image processing. The pros and cons of 3D detection bring convenience to the human community instead of 2D detection. The 3D detection consists of RGB (Red, Green and Blue) colour images and depth images which are able to perform better than 2D in real. The current technology is relying on the high costing light detection and ranging (LiDAR). However, the use of Microsoft Kinect has replaced the LiDAR systems for 3D detection gradually. In this project, a Kinect camera is used to extract the depth of image information. From the depth images, the distance can be defined easily. As in the colour scale, the red colour is the nearest and the blue colour is the farthest. The depth image will turn black when reaching the limitation of the Kinect camera measuring range. The depth information collected will be trained with deep learning architecture to perform a real-time distance prediction.

1 17

Publication

A review on harmonic mitigation method for non-linear load in electrical power system

( 2021)

Muhamad Hafiz Ab Aziz

;

Muhammad Mokhzaini Azizan

;

;

Mohd Wafiuddin Yahya

Publication

A review on harmonic mitigation method for non-linear load in electrical power system

( 2021)

Muhamad Hafiz Ab Aziz

;

Muhammad Mokhzaini Azizan

;

;

Mohd Wafiuddin Yahya

17 6

Publication

A review on the Skyrme Hartree-Fock model and related topics

( 2017)

Nooraihan Abdullah

;

Khairul Anwar Mohamad Khazali

;

1 19

Publication

A switchless pentagon-shaped reconfigurable antenna for radar applications

(IOP Publishing, 2020)

Norfatihah Bahari

;

Rashidah Che Yob

;

Liyana Zahid

This paper proposes a switchless pentagon-shaped microstrip patch antenna for radar and radionavigation applications. The antenna is built on Rogers RT5880 substrate with five rectangular radiating elements on top. Five ports have been set up to operate at 13.5 GHz resonant frequency. Besides having reflection coefficient below -10 dB, the antenna also offers high gain when about 8.29 dB is achieved. The proposed antenna also has a bi-directional radiation pattern with 360° of beam steering.

2 8

Publication

A wideband circularly polarized wearable antenna based on metasurface for WBAN applications

(Institute of Electrical and Electronics Engineers (IEEE), 2022)

Kai Zhang

;

Ping Jack Soh

;

Sen Yan

This conference paper presents a circularly polarized wearable antenna array based on metasurface with wideband for wireless body area network (WBAN). The antenna array consists of four metasurface antennas, and each antenna has a sub array including 2 x 2 metasurface elements. A ring-shaped feeding structure with four arms is employed in this array. Using this structure, a quasi-90° phase delay is generated between each adjacent arm, and thus the antenna array can radiate a circularly polarized pattern. For the wearable antenna array, the simulation -10 dB impedance bandwidth is from 3 GHz to 5.92 GHz with 65.5% relative bandwidth. And the 3 dB axial ratio bandwidth is from 3 GHz to 5.45 GHz with 58% relative bandwidth. The whole size of the antenna array is 1.59λ×1.59λ×0.09λ (106×106×6 mm3) at 4.5 GHz, and the maximum gain is 8.3 dBi. Eventually, the Specific absorption rate (SAR) at different frequency of proposed antenna is assessed on the body phantom, and the values are satisfied the FCC standards. This flexible antenna array is an excellent candidate for WBAN and 5G applications.

1 2

Publication

An Analysis of Interpolation Implementation for LNS Addition and Subtraction Function in Positive Region

( 2016)

;

;

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 efficient processing element architecture for pairwise sequence alignment

( 2014)

Mohd Nazrin Md Isa

;

Sohiful Anuar Zainol Murad

;

;

Muhammad Imran Ahmad

;

Asral Bahari Jambek

;

M. K. Md Kamil

Publication

An Investigation of Extended Co-Transformation using Second-Degree Interpolation for Logarithmic Number System

( 2020)

M. S. S. M. Basir

;

;

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

Publication

Analysis of FXP adders and multipliers for speed- and area-efficient LNS arithmetic unit

( 2014)

;

;

Sohiful Anuar Zainol Murad

;

J. N. Coleman

This paper portrays the selection of hardware unit architectures to be implemented in the new LNS based on a 32bit system. The implementations of the LNS multiply and divide only require a FXP adder, while the LNS addition and subtraction function comprised of several memories, FXP adders and multipliers together with other supporting logics. Thus, in choosing the best FXP adders and multipliers, each of the arithmetic is functionally verified and synthesised using Synopsys Design Compiler in Faraday 0.18 μm CMOS technology based on a 32-bit system. Two types of performance measurement, which are the worst-case delay and the silicon area, are chosen as the evaluation arguments. From conducted analytical studies, the CLA/CSLA adder and Booth recoded with Wallace tree multiplier were the best FXP adder and multiplier blocks to be applied in the system since they were the fastest designs. Using these blocks, the synthesis of the LNS system produced an approximately 7.10 ns of critical delay for addition and subtraction, and solely 1.16 ns for multiplication and division. The total area for a complete LNS architecture was 599,871 μm2, in which 65% the size of previously designed LNS architecture of ELM. © 2014 IEEE.

Publication

Arithmetic addition and subtraction function of logarithmic number system in positive region: An investigation

( 2015)

;

;

Ali Yeon Md Shakaff

Logarithmic number system or LNS has become an optimal choice in digital image processing instead of floating point (FP) system based on latest researches in LNS. Digital image processing which deals with a lot of complex operations such as multiplication and division, makes LNS as a great choice of implementation. However, the implementation had been restricted by the addition and subtraction function in LNS arithmetic as these functions entail complex procedures and circuitry. As its huge potential to be a substitution of FP, there is an urgent need for LNS to improve the performance of both operations. Hence, various studies had been conducted in this area, however most of the research concern the implementation of these operations in the negative region. Therefore, this study is conducted with the objective on the exploration of both LNS addition and subtraction operations in the positive region and highlights the potential areas for design modifications and improvements. Then, these enhancements will be combined with other arithmetic functions in creating an optimum LNS design to be utilized in any digital image processing system.

6 9

Publication

Assessing Virtual Reality Sickness in Highly Immersive Virtual Laboratory Environments : Simulator Sickness Questionnaire and Mitigation Strategies

( 2023)

Ahmed Jamah Ahmed Alnagrat

;

Abdulaziz E Salem Shagluf

;

Rajaa. F. Mahmoud Sulieman

;

Abubaker Almintisir Abubaker Akeel

;

;

Syed Zulkarnain Syed Idrus

Virtual Reality (VR) sickness, a common challenge among VR users, has increasingly gained attention in academic research due to its adverse side effects. The Simulator Sickness Questionnaire (SSQ) has been traditionally employed to measure simulator motion sickness; however, the extent to which it measures symptoms specifically attributable to VR sickness remains underexplored. This study investigates the applicability of SSQ in assessing VR sickness in a virtual semiconductor laboratory environment, with a focus on reducing motion sickness in VR devices. A total of 97 participants performed target selection tasks using HP Reverb G2 and Oculus Quest 2 headsets in a virtual laboratory setting. The original SSQ was revised to create a VR Sickness Questionnaire, which served as the measurement index for VR-induced symptoms. The primary objective of this research was to determine the prevalence of VR sickness and explore ways to mitigate motion sickness in VR devices. The Results indicate that the majority of VR-related side effects pertain to nausea dysfunction, with a limited number of symptoms linked to cybersickness arising from various factors. These findings hold significant implications for future studies aiming to measure and design interventions for simulator sickness in VR environments. By shedding light on the effectiveness of the SSQ for evaluating VR sickness, this study contributes to the development of improved VR experiences and technologies.

Publication

Automated tomato grading system using Computer Vision (CV) and Deep Neural Network (DNN) Algorithm

( 2022-01-01)

Tan Wei Keong

;

Muhammad Amir Hakim Ismail

;

Zulkifli Husin

;

Muhammad Luqman Yasruddin

The tomato grading is based on the skin colour at the grading stage. The evaluation of the colour used to classify tomatoes is very important, and the current methods of identifying and determining tomato varieties are still manual and prone to human error. The ability to automate tomato grading helps the food industry determine colour grades during the evaluation phase. Therefore, Computer Vision (CV) and Deep Neural Network (DNN) are utilised to grade tomatoes by determining their maturity colour. Three hundred tomatoes were selected and its maturity level are assigned by expertise. The tomato images are captured, processed and passed to the DNN classifier to determine the tomato grade. The proposed DNN classifier achieved the mAP percentage of 95.52%. This shows that the computer vision built into the DNN algorithm can provide an efficient implementation for predicting tomato grade.

3 1

Publication

Biological sequence alignments: A review of hardware accelerators and a new PE computing strategy

( 2014)

Mohd Nazrin Md Isa

;

Muhammad Imran Ahmad

;

Sohiful Anuar Zainol Murad

;

;

Khaled Benkrid

One of the most challenging tasks in sequence alignment is its repetitive and time-consuming alignment matrix computations. In addition, performing sequence alignment in hardware, i.e. FPGA requires more hardware resources as the number of processing elements is replicated to increase performance throughput. This paper first reviews the existing FPGA-based biological sequence alignment core architectures and then proposed an efficient scheduling strategy, the so-called overlap computation and configuration (OCC) towards realizing optimized biological sequence alignment core architecture targeting for pairwise sequence alignment. In this research work, double buffering-based core architecture have been proposed and implemented on Xilinx Virtex-5 FPGA. Results have shown that this approach gained more than 10K times speed-up as compared to the GPP solution.

Publication

Breast surface variation phase map analysis with digital fringe projection

( 2019)

Wan Mokhzani Wan Norhaimi

;