Muhammad Aizat Abu Bakar
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Preferred name
Muhammad Aizat Abu Bakar
Official Name
Muhammad Aizat , Abu Bakar
Alternative Name
Bakar, M. A.A.
Bakar, Muhammad Aizat Abu
Bakar, M. A.Abu
Bin Abu Bakar, Muhammad Aizat
Main Affiliation
Scopus Author ID
57190940268
Researcher ID
EMX-4423-2022

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  • Publication
    The Effect Of Anthracene Group Substitution Of Disubstituted Chalcone Derivative Featuring Terephthalaldehyde Π-Linker On Non-Linear Optical (Nlo) Characteristic
    ( 2023-01-01)
    Shuaib N.N.
    ;
    Daud A.I.
    ;
    Arshad S.
    ;
    Muhammad Aizat Abu Bakar
    ;
    Khairul W.M.
    In past years, the π-conjugated system has attracted much attention as a promising material for developing and manufacturing the next generation of organic electronics made of synthesised organic compounds. Chalcone, having the π-conjugated systems in their molecular structures and the unique α, β-unsaturated ketone structural, have gained much attraction due to their potential use in optoelectronics applications like organic light emitting diode (OLED). By altering the molecular structure, the physical and chemical properties of chalcone derivatives can be tailored to the application needed. In recent years, chemists have produced many types of π-conjugated molecules to acquire excellent luminescence characteristics from organic compounds, and such structures typically lead to intense colour and excellent photoluminescence. In this study, a disubstituted chalcone derivative featuring terephthalaldehyde (N1A) as a π-linker with anthracene as donating group substitution has been synthesised through the Claisen-Schmidt condensation reaction. The synthesised compound has been characterised using Fourier Transform Infrared spectroscopy (FTIR) and UV-Visible analysis. Density functional theory (DFT) computations are executed to evaluate the effect of anthracene as an electron donating substitution on NLO properties of disubstituted chalcone derivative. NLO responses of this disubstituted chalcone derivative disclose that the chalcone molecular framework exhibit an important characteristic for further application as OLED emitting material.
  • Publication
    Fabrication of mandible fracture plate by indirect additive manufacturing
    ( 2017-10-29)
    Muhammad Aizat Abu Bakar
    ;
    Shah Fenner Khan Mohamad Khan
    Bone fracture is a serious skeletal injury due to accidents and fragility of the bones at a certain age. In order to accelerate fracture healing process, fracture bone plate is use to hold the fracture segment for more stability. The purpose of this study is to fabricate mandibular fracture plate by using indirect additive manufacturing methods in order to reduce time taken during bending and shaping the fracture fixation plate that conform to the anatomy of the fractured bone site. The design and analysis of the plates are performed using CATIA and ANSYS software. The 3D-CAD data were sent to an additive manufacturing machine (fused filament fabricated) to generate master pattern using PLA and the mould were fabricated using Plaster of Paris. A melt ZAMAK 3 was poured directly into the moulds, and left it until completely harden. 3point bending test was performed on the prototype plate using universal testing machine. Stress-strain curve shows the graph exhibited a linear relationship of stress-strain up to a strain value of 0.001. Specimens give a maximum yielding stress and then break before the conventional deflection. Since the maximum flexural stress and the breaking stress are far apart with a plateau stating at strain value of 0.003mm/mm in most specimens, the specimen's failure types are considered plastic failure mode. The average thickness and width are 1.65mm and 2.18mm respectively. The flexural modulus and flexural strength are 189.5GPa and 518.1MPa, respectively.
  • Publication
    2D LiDAR Based Reinforcement Learning for Multi-Target Path Planning in Unknown Environment
    ( 2023-01-01)
    Abdalmanan N.
    ;
    Kamarulzaman Kamarudin
    ;
    Muhammad Aizat Abu Bakar
    ;
    Mohd Hafiz Fazalul Rahiman
    ;
    Ammar Zakaria
    ;
    Syed Muhammad Mamduh Syed Zakaria
    ;
    Latifah Munirah Kamarudin
    Global path planning techniques have been widely employed in solving path planning problems, however they have been found to be unsuitable for unknown environments. Contrarily, the traditional Q-learning method, which is a common reinforcement learning approach for local path planning, is unable to complete the task for multiple targets. To address these limitations, this paper proposes a modified Q-learning method, called Vector Field Histogram based Q-learning (VFH-QL) utilized the VFH information in state space representation and reward function, based on a 2D LiDAR sensor. We compared the performance of our proposed method with the classical Q-learning method (CQL) through training experiments that were conducted in a simulated environment with a size of 400 square pixels, representing a 20-meter square map. The environment contained static obstacles and a single mobile robot. Two experiments were conducted: experiment A involved path planning for a single target, while experiment B involved path planning for multiple targets. The results of experiment A showed that VFH-QL method had 87.06% less training time and 99.98% better obstacle avoidance compared to CQL. In experiment B, VFH-QL method was found to have an average training time that was 95.69% less than that of the CQL method and 83.99% better path quality. The VFH-QL method was then evaluated using a benchmark dataset. The results indicated that the VFH-QL exhibited superior path quality, with efficiency of 94.89% and improvements of 96.91% and 96.69% over CQL and SARSA in the task of path planning for multiple targets in unknown environments.
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