Mohd Nazrin Md Isa
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Preferred name
Mohd Nazrin Md Isa
Official Name
Mohd Nazrin , Md Isa
Alternative Name
Md Isa, Mohd N.
Isa, M. Nazrin Md
Md Isa, M. N.
Isa, Nazrin
Isa, M. Nazrin M.
Main Affiliation
Scopus Author ID
56426995200
Researcher ID
N-1250-2017

Research Output
Now showing 1 - 8 of 8
  • Publication
    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.
  • Publication
    Image processing for paddy disease detection using K-means clustering and GLCM algorithm
    ( 2021-12)
    A. F. A. Ahmad Effendi
    ;
    Mohd Nazrin Md Isa
    ;
    Muhammad Imran Ahmad
    ;
    Mohd Fikri Che Husin
    ;
    Siti Zarina Md Naziri
    The traditional human-based visual quality inspection approach in agriculture is unreliable and uneven due to various variables, including human errors. In addition to the lengthy processing durations, the traditional method necessitates plant disease diagnostic experts. On the other hand, existing image processing approaches in agriculture produce low-quality output images despite having a faster computation time. As a result, a more comprehensive set of image processing algorithms was used to improve plant disease detection. This research aims to develop an efficient method for detecting leaf diseases using image processing techniques. In this work, identifying paddy diseases based on their leaves involved a number of image-processing stages, including image pre-processing, image segmentation, feature extraction, and eventually paddy leaf disease classification. The proposed work targeted the segmentation step, whereby an input image is segmented using the K-Means clustering with image scaling and colour conversion technique in the pre-processing stage. In addition, the Gray Level Co-occurrence Matrix technique (GLCM) is used to extract the features of the segmented images, which are used to compare the images for classification. The experiment is implemented in MATLAB software and PC hardware to process infected paddy leaf images. Results have shown that K-Means Clustering and GLCM are capable without using the hybrid algorithm on each image processing phase and are suitable for paddy disease detection.
  • Publication
    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.
  • Publication
    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.
      2  10
  • Publication
    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.
      26  9
  • Publication
    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.
      2
  • Publication
    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.
      1  17