Muhammad Juhairi Aziz Safar
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Preferred name
Muhammad Juhairi Aziz Safar
Official Name
Muhammad Juhairi Aziz, Safar
Alternative Name
Safar, Muhammad Juhairi Aziz
Safar, M. Juhairi Aziz
Aziz Safar, M. J.
Juhairi Aziz Safar, Muhammad
Safar, Muhamad Juhairi Aziz
Safar, M. J.A.
Main Affiliation
Scopus Author ID
57212344599
Researcher ID
R-1349-2019

Research Output

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  • Publication
    Homogenized properties of porous microstructure: effect of void shape and arrangement
    ( 2017-10-29)
    M. Thomas
    ;
    Khairul Salleh Basaruddin
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Shah Fenner Khan Mohamad Khan
    ;
    Ishak Ibrahim
    This paper aims to investigate the effect of void shape and arrangement on the effective elastic properties of porous microstructure. The characteristics of the voids are in different shapes, sizes and arrangement. The porous microstructure models were developed using CATIA. Then, Voxelcon was employed to analyse the multiscale finite element model and determine the homogenized properties. Based on the results, void shape, size, and arrangement of porous microstructure were found sensitive to the elastic (homogenized) properties. Ellipsoidal shape having the highest Young's modulus, whereas the spherical shape has the highest Poisson's ratio and shear modulus. Cubical shape was the lowest for all the elastic properties. Moreover, the formation arrangement in void cubical shape produced the highest Young's modulus and shear modulus.
      1  12
  • Publication
    Effect of Image Thresholding on the Homogenized Properties of Trabecular Bone Model
    ( 2022-01-01)
    Khairul Salleh Basaruddin
    ;
    Haniza Yazid
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Mohd Hafif Basha Mohamad Jamel Basha
    ;
    Fathinul Syahir Ahmad Sa'ad
    ;
    Muhamad Khairul Ali Hassan
    This paper presents a numerical study to determine the homogenized (apparent) properties of vertebral trabecular bone with different threshold values using homogenization method. Series set of micro-CT images of vertebral trabecular bone was used in the present digital image-based modeling technique to reconstruct the microstructure model. Three image thresholding values were selected based on Otsu’s method. The homogenized properties that include the Young’s moduli, Poisson’s ratio and shear moduli was obtained in this study. The results showed there is significant effect of image threshold on the homogenized properties of vertebral trabecular bone model.
      2  11
  • Publication
    Holonomic Mobile Robot Planners: Performance Analysis
    ( 2022-01-01)
    Aljamali Y.S.
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Khairul Salleh Basaruddin
    ;
    Yazid H.
    ;
    Basha S.N.
    ;
    Fathinul Syahir Ahmad Sa'ad
    ;
    Hassan M.K.A.
    Many algorithms have been proposed to tackle the path planning problem in mobile robots. Among the well-known and established algorithms are the Probabilistic Road Map (PRM) algorithm, A* algorithm, Genetic algorithm (GA), Rapidly-exploring random tree (RRT), and dual Rapidly-exploring random trees (RRT-connect). Hence, this paper will focus on the performance comparison between the aforementioned algorithms concerning computation time, path length, and fail and success rate for producing a path. For the sake of fair and conclusive results, simulation is conducted in two phases with four different environments, namely, free space environment, low cluttered environment, medium cluttered environment, and high cluttered environment. The results show that RRT-connect has a high success rate in producing a feasible path with the least computation time. Hence, RRTs-based sampling algorithms, in general, and RRT-connect, in specific, will be explored in-depth for possible optimization.
      2
  • Publication
    Discontinuities Classification Using Texture Features and Support Vector Machine
    ( 2022-01-01)
    Yazid H.
    ;
    Khairul Salleh Basaruddin
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Yazid H.
    In this paper, a new approach is proposed for discontinuities classification in radiographic images. Two types of discontinuities will be considered namely line and circular discontinuities. To locate the region of interest (ROI), several image processing techniques such as fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu thresholding, and valley detection were used in the first step, followed by inverse surface thresholding to segment the discontinuities. Then, the features were extracted using Segmentation based Fractal Texture Analysis (SFTA). Based on the extracted features, the images were classified using Support Vector Machine (SVM). In this work, 45 images were used for training and 25 images were used for testing. The proposed approach obtained 96% classification rate.
      2
  • Publication
    Performance analysis of entropy thresholding for successful image segmentation
    ( 2022-02-01)
    Yazid H.
    ;
    Shafriza Nisha Basah
    ;
    Rahim S.A.
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Khairul Salleh Basaruddin
    Image segmentation refers to a procedure of segmenting the foreground (object of interest) from the background. One of the well-known methods is thresholding based segmentation that segments an image according to a threshold value. Most of the proposed methods either proposing a new algorithm or improvising the algorithm to segment the foreground. However, there is no analysis is carried out to determine the successfulness of the methods under different conditions. This main contribution of this paper is to analyse the entropy thresholding namely the method proposed by Kapur and Li for various parameters which include noise measurement, size of the object, and the difference in intensity between the background and object. In this paper, a few conditions were proposed to ensure successful image segmentation. Based on the experimental result, intensity difference needs to be around 35% and the object size is about 73% for all noise levels for Kapur. For Li entropy, the intensity difference needs to be at a minimum of 44% and 80% for object size. It is demonstrated that the proposed conditions accurately foresee the result of image thresholding based on Kapur and Li entropy.
      2
  • Publication
    An IoT Agricultural System for Harumanis Farm
    ( 2021-12-01)
    Ismail F.A.
    ;
    Muhamad Khairul Ali Hassan
    ;
    Fathinul Syahir Ahmad Sa'ad
    ;
    Haniza Yazid
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Khairul Salleh Basaruddin
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    Internet of Things (IoT) is a revolutionary technology that represents the future of communication and computing. The field of IoT implementation is vast and can be applied in every field. This project is about to develop an IoT system for Harumanis Farm as agriculture is becoming an essential growing sector throughout the world due to the increasing population. The major challenge in the Harumanis sector is to improve the productivity and quality of Harumanis without continuous manual monitoring. IoT improves crop management, cost-effectiveness, crop monitoring and also improves the quality and quantity of the crop. This IoT system completes with several sensors to monitor the Harumanis farm, such as temperature and humidity sensor, pH level sensor, soil moisture sensor, also nitrogen, phosphorous, and potassium (NPK) sensor. The system is a simple IoT architecture where sensors collect information and send it over the Wi-Fi network to the mobile applications.
      1  12