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
    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
    IoT-based Carbon Monoxide (CO) Real-Time Warning System Application in Vehicles
    ( 2021-12-01)
    Kamarudin A.A.A.
    ;
    Nurul Syahirah Khalid
    ;
    Ibrahim I.I.
    ;
    Muhammad Aizat Abu Bakar
    ;
    Mahadi M.Z.
    ;
    Shukor S.A.A.
    ;
    Sukhairi Sudin
    ;
    Hasan M.Z.
    ;
    Mansor H.
    The project is about develop a system and application for detect the presence of Carbon Monoxide(CO) in car, since recently there are many cases of drowning while sleeping in car due to inhaling CO. The build system are able to detect the presence of CO and provide warning about level of CO to the users. It uses Blynk application to monitors level of CO inside the vehicle, MQ-9 gas sensor as the input sensor, ESP 8266 as medium to send data to the application via IoT-based and the level concentration of CO is displayed on the LCD in real-time displayed. For the output, it has 3 different condition based on the level concentration of CO. This project has been testing in six different situation. Based on the result, ambience air and in car with open window situation have lowest of CO level. Meanwhile, the highest of CO level is detect in smoke that are produced from fuel combustion of the car exhaust at distance 5 cm. Additionally, Principal Component Analysis (PCA) is used to analysed the ability of this system in clustering for each situation. As a result, PCA have clearly clustering data for every situation with the value of PC1 is 71.82% and PC2 is 28.18%, hence it is verified that the build system is able to applied in detecting the presence of CO. This project is believed able in helping to reduce the numbers of cases people drowning while sleeping due to inhaling CO in the car.
  • 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
    The effects of interactional justice and OCB on burnout: Empirical evidences among housemen in Malaysia public hospital
    ( 2021-05-03)
    Sulaiman M.K.
    ;
    Ummi Naiemah Saraih
    ;
    Sakdan M.F.
    ;
    Aminudin Anuar
    ;
    Muhammad Aizat Abu Bakar
    ;
    Muhammad Nur Aiman Uda
    ;
    Asyraf Hakimi Abu Bakar
    This study investigates the effect of interactional justice (IJ) and organizational citizenship behaviour (OCB) on burnout (BO) among housemen in Malaysia Public Hospital. This study involve 15 urban hospital in Malaysia. Quantitative method was used in the study to analyse the questionnaire. The questionnaire will distribute to the 800 housemen in 15 urban public hospital in Malaysia. The questionnaire will analyze by using PLS-SEM statistical tool. From the analyze the hypothesis are accepted and significant. The IJ and OCB can reduce the value of BO among housemen in public hospital. The information based on this study will be a valuable guide to the Ministry of Health (MoH) in and decrease the level of burnout among housemen in Malaysia. The hospital management also can use the information based on the study to upgrade the policy and standard operating procedure (SOP) towards the management of the housemen. Also, this study can be the basis to help the Malaysian housemen to identify the causes of burnout and improve their perspectives upon this issue. Not only that, knowing the dimensions of burnout and its causes can create a positive vibe in the medical environment, particularly among the ministry, hospital management, housemen, and patients.
  • Publication
    Cloud-based System for University Laboratories Air Monitoring
    ( 2020-09-21)
    Abu Hassan Abdullah
    ;
    Sukhairi Sudin
    ;
    Mustafa M.H.
    ;
    Fathinul Syahir Ahmad Sa'ad
    ;
    Khairul Azwan Ismail
    ;
    Muhammad Aizat Abu Bakar
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Abdul Ghapar Ahmad
    ;
    Zahari Awang Ahmad
    ;
    Sara Yasina Yusuf
    Indoor air such as house, shopping complex, hospital, university, office and hotel should be monitor for human safety and wellbeing. These closed areas are prone to harmful air pollutants i.e. allergens, smoke, mold, particles radon and hazardous gas. Laboratories in university are special room in which workers (student, technician, teaching/research assistants, researcher and lecturer) conduct their works and experiment. The activities and the environment will generate specific air pollutant which concentration depending to their parameters. Anyone in the environment that exposure to these pollutants may affect safety and health issue. This paper proposes a study of development of a cloud-based electronic nose system for university laboratories air monitoring. The system consists of DSP33-based electronic nose (e-nose) as nodes which measure main indoor air pollutant along with two thermal comfort variables, temperature and relative humidity. The e-noses are placed at five different laboratories for acquiring data in real time. The data will be sent to a web server and the cloud-based system will process, analyse using Neuro-Fuzzy classifier and display on a website in real time. The system will monitor the laboratories air pollutants and thermal comfort by predict the pollutant concentration and dispersion in the area i.e. Air Pollution Index (API). In case of air hazard safety (e.g., gas spills detection and pollution monitoring), the system will alert the security by activate an alarm and through e-mail. The website will display the API of the area in real-time. Results show that the system performance is good and can be used to monitor the air pollutant in the university laboratories.
  • Publication
    Development of portable electronic nose for monitoring the atmospheric hazards in confined space
    ( 2018)
    Muhammad Aizat Abu Bakar
    This thesis discussed the development of electronic nose (e-nose) for monitoring the atmospheric hazards in a confined space. A confined space is large enough for workers to enter and perform work. It has a limited means of entry or exit and is not designed for continuous occupancy. It can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. The most critical atmospheric hazards are too high or low oxygen in the atmosphere or atmospheres that contain flammable or toxic gases. Current technology to monitor the atmospheric hazards is applied before entering confined spaces called pre-entry by using a gas detector. This study aims to develop an instrument to assist workers during pre-entry for atmosphere testing. E-nose is the integration between hardware and software that can identify and classify different concentrations of gases in an air sample using pattern recognition techniques. The developed instrument using specific sensor arrays which were identified based on main hazardous gasses effective value. The temperature and humidity rates are also measured. The instrument utilizes multivariate statistical analysis that is Principal Component Analysis (PCA) for discriminate the different concentrations of gases. The Support Vector Machine (SVM) and Artificial Neural Network (ANN) that is Radial Basis Function (RBF) Network are used to classify the acquired data from the air sample. This will increase the instrument capability while the portability will minimize the size and operational complexity as well as increase user friendliness. The instrument was successfully developed, tested and calibrated using fixed concentrations of gases samples. The results proved that the developed instrument is able to discriminate an air sample using PCA with total variation for 99.42%, while the classifier success rate for SVM and RBF Network indicates at 99.28% for train performance and 98.33% for test performance. This will contribute significantly to acquiring a new and alternative method of using the instrument for monitoring the atmospheric hazards in confined space. This will ensure the safety of workers during work progress in a confined space.
  • Publication
    Development of Cloud-based Electronic Nose for University Laboratories Air Monitoring
    ( 2020-12-18)
    Abu Hassan Abdullah
    ;
    Muhammad Aizat Abu Bakar
    ;
    Saad F.S.A.
    ;
    Sukhairi Sudin
    ;
    Zahari Awang Ahmad
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Ismail K.A.
    Indoor air in area such as house, shopping complex, hospital, university, office and hotel should be monitor for human safety and wellbeing. These closed areas are prone to harmful air pollutants i.e. allergens, smoke, mold, particles, radon and hazardous gas. Laboratories in university are special room in which workers (student, technician, teaching/research assistants, researcher and lecturer) conduct their works and experiments. These activities and the environment will generate air pollutants which concentration depending on their parameters. Anyone in the environment that exposure to these pollutants may have safety and health issue. This paper propose a study of development of a cloud-based electronic nose system for university laboratories air monitoring. The system consists of five dsPIC33-based electronic nose (e-nose) as node which measure main indoor air pollutants along with two thermal comfort variables, i.e. temperature and relative humidity. The nodes are placed at five different laboratories for acquiring air pollutants data in real time. The data will be sent to a web server and the cloud-based system will process, analyse and display by a website in real time. The system will monitor the laboratories main air pollutants and thermal comfort by forecast the contaminants concentration and dispersion in the area. In case of air hazard safety (e.g., gas spills detection and pollution monitoring), the system will alert the security by activate an alarm and through e-mail. The website will display the Air Pollution Index (API) of the area in real-time. Results show that the system performance is good and can be used to monitor the air pollution in the university laboratories.
  • Publication
    Transient stability for IEEE 14 bus power system using power world simulator
    ( 2020-01-07)
    Aminudin Anuar
    ;
    Wahab M.A.A.
    ;
    Syahrun Nizam Md Arshad @ Hashim
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Asyraf Hakimi Abu Bakar
    ;
    Muhammad Aizat Abu Bakar
    Nowadays, demand for electricity is increasing every single day. This is due to the deep requirements in current economy. Generating electricity is an important element to ensuring a system operates in good condition and not being affected. At the same time, some problems have arisen as a phenomenon of transient stability. Hence, analysis needs to be done to control energy stability in rivalling current demand. Power system stability can be further divided into 3 sub-analysis starting with rotor angle stability which is the ability of synchronous machines of an interconnected power system to remain in synchronism after being subjected to a disturbance, voltage stability which is the ability of a power system to maintain steady voltages at all buses in the system after being subjected to a disturbance and also frequency stability which the ability of a power system to maintain steady frequency following a severe system disturbance resulting in a significant imbalance between generation and load. This analysis is used the IEEE Bus System 14 and analyzed using Power World Simulator (PWS) software. The variations in power angle, bus voltage and system frequency were studied with the help of three-phase balanced fault. Fast fault clearing times were analysed for a three-phase balanced fault in order to re-establish the stability of the system. Furthermore, impact of fault location on system was also computed to observe whether it affected the stability of the systems.
  • Publication
    Real-time vision-based hand gesture to text interpreter by using artificial intelligence with augmented reality element
    ( 2024-03-07)
    Rosnazri M.H.
    ;
    Mohd Rizal Manan
    ;
    Rosnazri Ali
    ;
    Baseemah Mat Jalaluddin
    ;
    Aimi Salihah Abdul Nasir
    ;
    Muhammad Aizat Abu Bakar
    ;
    Zamri N.F.
    ;
    Rahmat M.A.
    ;
    Zamzuri M.A.
    ;
    Azmi M.A.A.
    Real-time Vision-based Hand Gesture to Text Interpreter by Using Artificial Intelligence with Augmented Reality Element is a device that can interpret sign language to text in real-time. This communicator used a machine learning approach with a slight touch of deep learning elements, which are OpenCV, MediaPipe, and TensorFlow algorithms. Those algorithms have been used to differentiate the hand from other objects, detect the movement and coordinate of hands and perform imagery data analysis to produce output instantly in real-time. The camera will detect the user's hand movement, and the output will be produced on an LCD monitor. This project has been developed by using Python programming language. 13,000 of ASL's alphabets and 5,000 of ASL's number imagery datasets have been collected and trained by using cloud platforms which are Google Teachable Machine and Google Colab. The training process produced 99.85% of accuracy for the alphabets and 100% accuracy for the number. Finally, the constructed machine learning algorithm able to display alphabets and numbers on an LCD monitor by performing ASL's alphabet and number hand gesture in real-time. The performance of the prototype has been analyzed and experimented by two users at plain and noise background with different determined distances.
      1
  • Publication
    IoT-based Carbon Monoxide (CO) Real-Time Warning System Application in Vehicles
    ( 2021-12-01)
    Kamarudin A.A.A.
    ;
    Nurul Syahirah Khalid
    ;
    Ismail Ishaq Ibrahim
    ;
    Muhammad Aizat Abu Bakar
    ;
    Mahadi M.Z.
    ;
    Shazmin Aniza Abdul Shukor
    ;
    Sukhairi Sudin
    ;
    Mohd Zamri Hasan
    ;
    Humairah Mansor
    The project is about develop a system and application for detect the presence of Carbon Monoxide(CO) in car, since recently there are many cases of drowning while sleeping in car due to inhaling CO. The build system are able to detect the presence of CO and provide warning about level of CO to the users. It uses Blynk application to monitors level of CO inside the vehicle, MQ-9 gas sensor as the input sensor, ESP 8266 as medium to send data to the application via IoT-based and the level concentration of CO is displayed on the LCD in real-time displayed. For the output, it has 3 different condition based on the level concentration of CO. This project has been testing in six different situation. Based on the result, ambience air and in car with open window situation have lowest of CO level. Meanwhile, the highest of CO level is detect in smoke that are produced from fuel combustion of the car exhaust at distance 5 cm. Additionally, Principal Component Analysis (PCA) is used to analysed the ability of this system in clustering for each situation. As a result, PCA have clearly clustering data for every situation with the value of PC1 is 71.82% and PC2 is 28.18%, hence it is verified that the build system is able to applied in detecting the presence of CO. This project is believed able in helping to reduce the numbers of cases people drowning while sleeping due to inhaling CO in the car.
      1