Rizalafande Che Ismail
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Rizalafande Che Ismail
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Rizalafande, Che Ismail
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Ismail, Rizalafande C.
Rizalafande, Che Ismail
Chesmail, R.
Ismail, R. C.
Che Ismail, Rizalafande
Ismail, Rizalafande Che
Ismail, R. Che
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22634128600

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High performance Systolic array core architecture design for DNA sequencer

2018 , Dayana Saiful Nurdin , Mohd Nazrin Md Isa , Rizalafande Che Ismail , Muhammad Imran Ahmad

This paper presents a high performance systolic array (SA) core architecture design for Deoxyribonucleic Acid (DNA) sequencer. The core implements the affine gap penalty score Smith-Waterman (SW) algorithm. This time-consuming local alignment algorithm guarantees optimal alignment between DNA sequences, but it requires quadratic computation time when performed on standard desktop computers. The use of linear SA decreases the time complexity from quadratic to linear. In addition, with the exponential growth of DNA databases, the SA architecture is used to overcome the timing issue. In this work, the SW algorithm has been captured using Verilog Hardware Description Language (HDL) and simulated using Xilinx ISIM simulator. The proposed design has been implemented in Xilinx Virtex -6 Field Programmable Gate Array (FPGA) and improved in the core area by 90% reduction.

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Development of fruits artificial intelligence segregation

2021-12 , Norhidayah Mohd Rozi , Razaidi Hussin , Muammar Mohamad Isa , Syed Muhammad Mamduh Syed Zakaria , Afzan Kamarudin , Rizalafande Che Ismail , Mohd Nazrin Md Isa , Siti Zarina Md Naziri

Higher output was needed as technology advance to meet human needs and industry demands. Fruits Artificial Intelligence Segregation (FAIS) is a project that uses image processing to detect and differentiate between various types of fruits. This paper proposes an OpenCV python, and the Convolution Neural Network (CNN) is used to complete the segregation of multiple fruits. The code extracts the fruit's characteristics and separates them based on their color and shape once placed in front of the camera to implement liveness detection. This paper shows the accuracy and reliability of the Fruits Artificial Intelligence Segregation (FAIS) system based on the number of datasets.

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LNS with Co-Transformation Competes with Floating-Point

2016 , J. NicholasColeman , Rizalafande Che Ismail

The logarithmic number system has been proposed as an alternative to floating-point arithmetic. Multiplication, division and square-root operations are accomplished with inexpensive fixed-point methods, but addition and subtraction are considerably more challenging. Recent work has demonstrated that these operations too can be done with similar speed and accuracy to their FP equivalents, but the necessary circuitry is complex. In particular, it is dominated by the need for large ROM tables for the storage and interpolation of non-linear functions. We describe a new co-transformation procedure that eliminates much of the ROM space and allows the easy synthesis of the remainder in logic, and we then evaluate several interpolation methods that might benefit from it. Synthesised 32-bit implementations are compared with floating-point units, and show substantial reductions in delay, with equivalent accuracy and area.

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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.

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Design and development of stingless beehive air pollutant monitoring system

2021-12 , Mohammad Fadzli Ramli , Azizi Harun , Rizalafande Che Ismail , Ndzi, David Lorater , Turner, Jamie Siregar Cynthia , Rohani S Mohamed Farook , Mohd Nazrin Md Isa , Sohiful Anuar Zainol Murad

Currently, the presence and levels of air pollution in most stingless bee farms are not measured periodically nor there are proper monitoring levels that can be attributed to hive productivity. Long-term measurement and monitoring of air pollution for hive productivity and honey yield have not been performed. Therefore, this research proposes long-term and real-time air pollution measurement and monitoring techniques that are important for correlation analysis and parameter modeling. By using air pollution detection sensors through a wireless sensor network topology in stingless bee farms, details of pollutant presence and levels will be available in real-time over a long period of time for hive productivity correlation analysis. With such deployment using IoT -based systems, data can be easily accessed from anywhere thus ensuring data continuity. This paper describes a preliminary study on the design, development, and testing of real-time air pollution measurement and monitoring systems capable of determining the health status of stingless bee nests in mixed livestock crop farms. The goal of this research is to help beekeepers/users maintain control and be able to take quick action on the hive from the information obtained.

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Modelling on Impact of Building Obstruction for V2I Communication Link in Micro Cellular Environment

2021-03-01 , Jamie Siregar Cynthia Turner , Shahriman Abu Bakar , Azizi Harun , Sohiful Anuar Zainol Murad , Mohd Nazrin Md Isa , Rizalafande Che Ismail , Ndzi D.L. , Mohd Sani Mohamad Hashim , Zuradzman Mohamad Razlan , Wan Khairunizam Wan Ahmad , Mohd Fitri Ramli

In vehicular communication, signal transmission in vehicle-to-infrastructure (V2I) mode typically takes place on highways, urban, suburban and rural environments. The presence of buildings in these environments poses a challenge to model path loss (PL) due to multiple propagation mechanisms such as diffractions and reflections. However, very little attention has been made to address building effects on the performance of V2I communication links in microcell environment. This paper investigates signal propagation characteristics caused by the impact of building under micro-cellular environment whereby the base station or road-side-unit (RSU) is usually located under the rooftop of building to allow communication between RSU and mobile station or on-board-unit (OBU) on the road. The goal of this paper is to validate and discuss available path loss models based on effect of building obstruction towards RSU-OBU links specifically in residential housing area. The channel measurements are conducted based on static line-of-sight (LOS) settings of a real-world environment at 2.4 GHz frequency band using IEEE 802.15.4 XBee S2C compliant device to measure its receive power. The results are demonstrated based on received signal strength indicator (RSSI) and root mean square error (RMSE). The attenuation profile is validated and compared with suitable path loss models to evaluate best fit and most compatible model based on our measurements data and environment. The analysis shows that several V2I path loss models and V2V channel models are applicable to be used as a reference to model in LOS microcell environment with building obstruction. The finding shows that PL Urban yields the best fit V2I path loss model in terms of RMSE when compared to our measurement campaign at 2.4 GHz.

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Image data compression using discrete cosine transform technique for wireless transmission

2021-12 , Mona H. Haron , Mohd Nazrin Md Isa , Muhammad Imran Ahmad , Rizalafande Che Ismail , Norhawati Ahmad

Telemetry data transfer over long-range wireless network for internet of things-based applications presently gaining popularity and this trend continuous in the era of Industrial Revolution (IR 4.0). However, transmitting larger amount of data such as images is a challenging task and requires further attention and research. Moreover, transmitting data over open agricultural area requires this capability to collect field data for further research and analysis. This work aims to propose a suitable image compression technique and recommends for the best compression ratio as to address the aforementioned issue. Discrete Cosine Transform (DCT) is a well-known lossy-based image compression technique, which has been explored along with another compression algorithm known as Fast Fourier Transform (FFT). Comparison between the two most widely used compression algorithms was analyzed and discussed. In this paper, golden apple snail images are acquired from various databases which include the mature snail, adult female laying eggs, snail pink eggs on stem and snails in the water. A MATLAB code is written to implement both algorithms with input images from the database is tested on the developed algorithm. Simulation results have shown that the input images can be compressed with a different value of compression ratio (CR) ranging from 3.00 to 50.00. Other than that, it is noted that the quality of the compression ratio is 49.04 with Mean Square Error (MSE) of 172.72 and Peak Signal to Noise Ratio (PSNR) of 25.75.

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Signal propagation modelling for vehicle-to-infrastructure communication under the influence of metal obstruction

2021-12 , Jamie Siregar Cynthia Turner , Shahriman Abu Bakar , Azizi Harun , Mohd Sani Mohamad Hashim , Zuradzman Mohamad Razlan , D L Ndzi , Rizalafande Che Ismail , Sohiful Anuar Zainol Murad , Mohd Nazrin Md Isa , Shaiful Nizam Mohyar , Mohammad Fadzli Ramli , M K N Zulkifli

Connected car has become one of emerging technology in the automotive industries today. This development preludes a rise in vehicular communication studies that primarily targets radio channel modelling on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication mode. Considering vehicular obstruction, vast channel propagation studies have focused more on V2V mode while others consider the typical urban scenarios consisting of high traffic volumes of moving vehicles. Due to challenging propagation mechanisms and high complexity in such areas, radio propagation models applied in simulators assume an obstacle-free environment rather than considering the least effect imposed by metal obstruction on communication signal. Besides, there are limited studies pertaining to metal obstruction that considers several under-explored environments such as actual parking lots, junctions and other road infrastructure support. As such, this paper demonstrates signal attenuation analysis caused by the presence of metal objects in low density over obstacle-free environment on actual parking lot via V2I mode. Two scenarios such as LOS and NLOS conditions consisting of obstacle-free, cars and buses as static metal objects are evaluated. The aim of this research is to characterize signal strength caused by metal blockage on radio wave propagation predicated on the presence of vehicles as a subject of obstruction in comparison to obstacle-free vehicular environment. The validity of data is shown through received signal strength indicator (RSSI) and approximation analysis (RMSE) to demonstrate the efficiency of obtained measurements. The results demonstrated that Log-normal shadowing model yields the best fit to low-density metal obstruction scenario with smallest RMSE of 4.78 under bus obstruction whereas 5.72 under car obstruction.

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