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

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A novel double Co-Transformation for a simple and memory efficient logarithmic number system

2020 , M. S. S. M. Basir , 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(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.

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Image data compression using fast Fourier transform (FFT) technique for wireless sensor network

2024-02-08 , Haron M.H. , Mohd Nazrin Md Isa , Muhammad Imran Ahmad , Arshad M.A.M. , Asral Bahari Jambek , Siti Zarina Md Naziri , Hussin R. , Harun A. , Rizalafande Che Ismail , Shaiful Nizam Mohyar

Agricultural settings present unique challenges for the transmission of huge amounts of images over long-range wireless networks. It is challenging to remotely gather data for transmission over a wireless network in research areas due to a lack of basic amenities like internet connections, especially in distant agricultural areas. In this research, the Fast Fourier Transform (FFT) method was used in conjunction with the Discrete Cosine Transform (DCT) method of image compression to achieve a higher compression ratio. In order for a Wireless Sensor Network (WSN) to provide compressed image data to a wireless based station, a LoRaWAN network has been identified. Low-power LoRaWAN networks may regularly transmit compressed images from an agricultural region to a monitoring system up to 15 km away. Images of golden apple snails were collected for this study from a variety of sources. The procedure was coded in MATLAB so that it could be run with input images being judged by the created algorithm. The input images can be compressed with a range of compression ratios (CR) from 3.00 to 50.00, as shown by the simulation results. Compressed image quality is measured not only by the above-mentioned criteria, but also by Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). According to the numbers, the best achievable compression ratio is 49.04, with an MSE of 172.72 and a PSNR of 25.75 at its highest.

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Enhancing fractal image compression speed using peer adjacent mapping with sum of absolute difference for computed radiography images

2020 , Norazeani Abdul 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. © 2020 Author(s).

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Development of Soil Electrical Conductivity (EC) Sensing System in Paddy Field

2021-03-01 , Othaman N.N.C. , Mohd Nazrin Md Isa , Razaidi Hussin , Rizalafande Che Ismail , Siti Zarina Md Naziri , Sohiful Anuar Zainol Murad , Azizi Harun , Muhammad Imran Ahmad

The amount of fertilisers affects electrical conductivity (EC), and it is one of the major causes of the paddy yield decrease. The overuse of fertilisers can lead to environmental pollution and contamination. This study designed to develop soil electrical conductivity (EC) sensing system in the paddy field using the smart farming application. In this work, the study conducted in Kampung Ladang, Kuala Perlis, and the soil samples collected from a random location at two different depths from the paddy field. The EC value for the developed system was near the calibration solutions (12880µS and 150000µS) and directly proportional to the temperature. From the laboratory soil results, the EC values of the soils were higher with fertiliser. However, the EC values for 0-10cm soil depth were higher than 10-20cm soil depth. The soil EC is inversely proportional to the depth of soil and directly proportional to the amount of nutrients. It observed that the soil EC is linearly related to the amount of nutrients and temperature. The EC value decreases with the increase of soil depth displays a low amount of salts in the deep soil, while, increases with the increase of temperature indicates high current flow.

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Face Recognition System Based on Fusion Features of Local Methods Using CCA

2020-03-01 , Nayef Al-Dabagh M.Z. , Muhammad Imran Ahmad , Mohd Nazrin Md Isa , Said Amirul Anwar Ab Hamid@Ab Majid

Information fusion is a solution espoused for enhancing a pattern recognition system's performance. A single representation précises the information and presents a single cue on the data; thus, information fusion is said to be more prolific as every feature set depicts a different outlook on the actual dataset. This paper recommends a face recognition system by utilizing fusion features of two local descriptor approaches. Firstly, blending of two most effective local face features, namely Gabor transform features and Local Binary Pattern (LBP), renders significantly improved performance compared to either individually: they complement each other wherein small appearance details are captured by LBP, while Gabor includes encoding facial shape for a wider range of scales. Secondly, to the combined feature vector, applying of the Canonical Correlation Analysis method (CCA) is done in order to extract discriminant characteristics for recognition. Lastly, a support vector machine (SVM) is deployed for classification, and K-nearest neighbor (K-NN) is utilized for feature matching. The technique is assessed against many challenging face datasets such as Yale database, with encouraging outcomes.

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An implementation of Short Time Fourier Transform for Harmonic Signal Detection

2021-03-01 , Basir M.S.S.M. , Rizalafande Che Ismail , Yusof K.H. , Katim N.I.A. , Mohd Nazrin Md Isa , Siti Zarina Md Naziri

Power electronic components has the tendency to induce a non-linear signal called harmonic distortion. Without proper monitoring tools, harmonic distortion can harm sensitive electronic equipment, and in worse case scenarios, may lead to unreliable operation of controller and misalignment of motoring unit. This matter can be compromised by taking safety precaution, by identifying the level of harmonic rise in the electrical system. This paper presents analysis on different characteristics of harmonic signal using frequency distribution technique, namely Fourier transform (FT), and proposal of time-frequency distribution (TFD) technique, which is a short time Fourier transform (STFT). The novelty of utilizing STFT is the analyzed signal is represented in both time and frequency marginals, hence providing extra information of the spectral over the time. Simulation was carried out using MATLAB, by means the results consisting of the magnitude of multi-frequency components signal were represented in time-frequency representation (TFR). From the TFR, parameters such as instantaneous RMS fundamental voltage, V1RMS(t), instantaneous RMS voltage, VRMS(t), instantaneous total waveform distortion, VTWD(t), instantaneous total harmonic distortion, VTHD(t) and instantaneous total nonharmonic distortion, VTnHD(t) had been extracted. The performance of different harmonic signals such as normal, single-level harmonic, multi-level harmonic, short duration harmonic and interharmonic had been analyzed. The performance based on absolute percentage error (APE) index indicated average of 93% of correctness using 256 window length in STFT measurement.

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Factors that affect soil electrical conductivity (EC) based system for smart farming application

2020-01-08 , Othaman N.N.C. , Mohd Nazrin Md Isa , Rizalafande Che Ismail , Muhammad Imran Ahmad , Hui C.K.

This paper presents the design and implementation of a soil electrical conductivity (EC) based system for a smart farming application using Arduino MEGA microcontroller. This work aims to establish the co-relationship between the measured EC values from the developed system with the amount of required NPK (nitrogen, phosphorus, potassium) fertilizer. Experimental results show that the soil EC is directly proportional to the nutrient concentration and inversely proportional to the depth of the soil. Besides, the soil EC values reflect the soil salinity (salt concentration) where, the higher the EC value, the higher the salt concentration in the soil and vice versa. It is also noted that the EC values and the total dissolved solids (TDS) could be used to estimate the amount of required NPK fertilizer.

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Design and Analysis of 32-Bit Signed and Unsigned Multiplier Using Booth, Vedic and Wallace Architecture

2021-03-01 , Yong K.M. , Razaidi Hussin , Afzan Kamarudin , Rizalafande Che Ismail , Mohd Nazrin Md Isa , Siti Zarina Md Naziri

This paper presents the implementation and performance comparison of the Booth encoding technique and Wallace Tree reduction scheme on Vedic architecture. The radix-4 Booth encoder is widely used to enhance the multiplication speed as it has the capability to reduce the number of partial products generated by half. Vedic multiplier partitions the inputs into two blocks to speed up the partial product generation and Wallace Tree reduction scheme speed up the partial product addition process by eliminating the carry chain of the addition. Radix-4 Booth encoding scheme Vedic multiplier with and without Wallace Tree partial product reduction scheme for signed and unsigned multiplication was designed and synthesized in Synopsys 130 nm technology. For unsigned multiplier, the Booth-Vedic multiplier is 37.29% faster and 26.13% smaller while the Booth-Vedic-Wallace multiplier is 39.79% faster and 28.81% smaller when compared with Vedic multiplier. The performance of both multipliers was dropped when used in signed multiplication due to signed extension during the partial product addition process. All the multiplier is functionally verified using modified testbench that is based on the concept of UVM testbench.

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IoT Based Soil Nutrient Sensing System for Agriculture Application

2021-12-01 , Othaman N.N.C. , Mohd Nazrin Md Isa , Razaidi Hussin , Zakaria S.M.M.S. , Isa M.M.

Rice is the primary food source for millions of Asians and satisfies the most fundamental requirement for human survival. The paddy scarcity has heightened public awareness of the global food problem. Rice yield and quality are affected by various factors, including soil nutrients, irrigation, types of soil, and pests. This work proposed developing an Internet of Things (IoT) based mobile device for measuring soil nutrients in real-time. The proposed system consists of electrical conductivity (EC) and temperature sensors with TTGO T-Beam microcontroller and IoT connectivity. During experimental work, the results showed that the observed EC data near the calibration solution conductivity of 12.88mS/cm and 150mS/cm, which are less than 2% from the calibration solution's stated value. Furthermore, it is found that the measured EC value increases with temperature (linearly proportional). The study showed that the soil's EC of sensor node 1 at 5 cm depth without fertiliser is 1.04375mS/cm and with fertiliser is 3.86mS/cm, while at 10 cm depth without fertiliser is 0.65625mS/cm and with fertiliser is 420mS/cm. These investigations show that soil EC is directly linked to nutrient availability and soil depth.

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Less memory and high accuracy logarithmic number system architecture for arithmetic operations

2021-09-01 , Siti Zarina Md Naziri , Rizalafande Che Ismail , Mohd Nazrin Md Isa , Razaidi Hussin

Interpolation is another important procedure for logarithmic number system (LNS) addition and subtraction. As a medium of approximation, the interpolation procedure has an urgent need to be enhanced to increase the accuracy of the operation results. Previously, most of the interpolation procedures utilized the first degree interpolators with special error correction procedure which aim to eliminate additional embedded multiplications. However, the interpolation procedure for this research was elevated up to a second degree interpolation. Proper design process, investigation, and analysis were done for these interpolation configurations in positive region by standardizing the same co-transformation procedure, which is the extended range, second order co-transformation. Newton divided differences turned out to be the best interpolator for second degree implementation of LNS addition and subtraction, with the best-achieved BTFP rate of +0.4514 and reduction of memory consumption compared to the same arithmetic used in european logarithmic microprocessor (ELM) up to 51%.

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