Mohamed Mydin Hj M.Abdul Kader
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Preferred name
Mohamed Mydin Hj M.Abdul Kader
Official Name
Mohamed Mydin , Hj M.Abdul Kader
Alternative Name
Kader, M. M.A.
Abdul Kader, M. Mohamed Mydin
Mohamed, M. M.A.K.
Abdul Kader, Mohamed Mydin M.
Kader, M. M.M.A.
Main Affiliation
Scopus Author ID
57202264868
Researcher ID
CYH-3060-2022

Research Output

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  • Publication
    Reprogramming the articulated robotic arm for glass handling by using Arduino microcontroller
    ( 2017-09-26)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Mohd Asmadi Akmal Kadir
    ;
    Mohd Hisam Daud
    The application of articulated robotic arm in industries is raised due to the expansion of using robot to replace human task, especially for the harmful tasks. However a few problems happen with the program use to schedule the arm, Thus the purpose of this project is to design, fabricate and integrate an articulated robotic arm by using Arduino microcontroller for handling glass sorting system. This project was designed to segregate glass and non-glass waste which would be pioneer step for recycling. This robotic arm has four servo motors to operate as a whole; three for the body and one for holding mechanism. This intelligent system is controlled by Arduino microcontroller and build with optical sensor to provide the distinguish objects that will be handled. Solidworks model was used to produce the detail design of the robotic arm and make the mechanical properties analysis by using a CAD software.
  • Publication
    Deep Eutectic Solvent-Assisted Synthesis of Nanocrystalline Cellulose Adsorbent for Silver Nitrate Removal
    ( 2023-01-01)
    Ahmad Anas Nagoor Gunny
    ;
    Aminuddin N.H.
    ;
    Azalina Mohamed Nasir
    ;
    Hashim R.H.R.
    ;
    Jalil M.F.A.
    ;
    Pakir M.A.A.S.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Rahman A.
    This study introduces application of deep eutectic solvent-assisted of nanocrystalline cellulose adsorbent for silver nitrate removal. The study aims to offer new green and low energy method in producing nano crystalline cellulose (NCC). NCC from microcrystalline cellulose (MCC) was extracted by using synthesized acidic DES. NCC fabricated was found to have a capability to act as a biosorbent for removal of silver nitrate (AgNO3). The adsorption kinetics and isotherm of silver nitrate on NCC were studied by varies initial concentration of silver nitrate and contact time. The experimental data were analyzed by using Langmuir and Freundlich models of adsorption. The adsorption isotherm data were fitted well to Freundlich adsorption isotherm. The biosorption kinetics data obtained at different time have been analyzed using pseudo-first order and pseudo-second order equation. The experimental data fitted well to pseudo-second order kinetics model. Application of novel and green acidic DES for production of NCC from lignocellulose will contribute to a new paradigm in a green adsorption study.
  • Publication
    Design and analysis on sorting blade for automated size-based sorting device
    ( 2017-09-26)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Yasser Suhaimi Samsudin
    ;
    Mohd Hisam Daud
    Nowadays rubbish separating or recycling is a main problem of nation, where peoples dumped their rubbish into dumpsite without caring the value of the rubbish if it can be recycled and reused. Thus the author proposed an automated segregating device, purposely to teach people to separate their rubbish and value the rubbish that can be reused. The automated size-based mechanical segregating device provides significant improvements in terms of efficiency and consistency in this segregating process. This device is designed to make recycling easier, user friendly, in the hope that more people will take responsibility if it is less of an expense of time and effort. This paper discussed about redesign a blade for the sorting device which is to develop an efficient automated mechanical sorting device for the similar material but in different size. The machine is able to identify the size of waste and it depends to the coil inside the container to separate it out. The detail design and methodology is described in detail in this paper.
  • Publication
    Kinematics analysis on hinges of robot arm gripper for harmful chemical handling
    ( 2017-09-26)
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Nurul Fahimah Mustafa
    ;
    Mohd Hisham Daud
    The development of manufacturing industry is booming the application of industrial robot, and proportional to the use of robot arm. Some of the purpose of robot arm gripper is to sort things and place to the proper place. And some of the things are harmful to human, such as harmful chemical. By using robot arm to do picking and placing, it is expected to replace human tasks, as well as to reduce human from the harmful job. The problem of the robot arm gripper, most likely the problem of hinge, thus the analysis on the hinges of robot arm gripper to prevent claw is essential. By using robot arm, instead of human, is labored to do the harmful tasks and unexpected accident happen, costs and expenses in handling injured employee due to the harmful chemicals can be minimized. Thus the objective of this project is to make a kinematics analysis on the hinges of the robot arm gripper. Suitable material such as steel structure has also been selected for the construction of this hinges. This material has properties associated with compressive strength, fire resistance, corrosion and has a shape that is easy to move. Solid Works and ANSYS software is used to create animated movement on the design model and to detect deficiencies in the hinges. Detail methodology is described in this paper.
  • Publication
    Electronic Nose Testing for Confined Space Application Utilizes Principal Component Analysis and Support Vector Machine
    ( 2020-12-18)
    Muhammad Aizat Abu Bakar
    ;
    Abu Hassan Abdullah
    ;
    Wan Azani Wan Mustafa
    ;
    Zol Bahri Razali
    ;
    Syahrul Affandi Saidi
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Aman M.N.S.B.S.
    A confined space has a limited space for entry and exit but it is large enough for workers to enter and perform work inside. It is not designed for continuous occupancy because it can contribute atmospheric hazards accidents that threaten the worker safety and industry progress. In this work, we reported the testing an instrument to assist workers for atmosphere testing during pre-entry. An electronic nose (e-nose) using specific sensor arrays is the integration between hardware and software that able to sense different concentrations of gases in an air sample using pattern recognition techniques. The instrument utilizes multivariate statistical analysis which is Principal Component Analysis (PCA) for discriminate the different concentrations of gases and the Support Vector Machine (SVM) to classify the acquired data from the air sample. The instrument was successfully tested using diesel, gasoline, petrol and thinner. The results show that the instrument able to discriminate an air sample using PCA with total variation for 99.94%, while the classifier success rate for SVM indicates at 98.21% for train performance and 95.83% 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 to ensure the safety of workers during work progress in a confined space.
      3  25
  • Publication
    Solar Powered Multiple Output Buck Converter
    ( 2020-12-18)
    Muhammad Zaid Aihsan
    ;
    Norhanisa Kimpol
    ;
    Liew Hui Fang
    ;
    Muhammad Izuan Fahmi Romli
    ;
    Wan Azani Wan Mustafa
    ;
    Junaidah Ali Mohd Jobran
    ;
    Mohamed Mydin Hj M.Abdul Kader
    Times have certainly changed over the past few decades, now it seems that technology is getting more compact and efficient. The modern outdoor enthusiast such as hikers, climbers has a problem regarding the lack of power supply to power up electronics when they go for adventure activities. In order to solve this problem, this paper design and develop DC/DC buck converter system to drop down the voltage from the solar photovoltaic (PV) system from 12VDC into 5VDC. This paper is first to start up with design and simulation circuit using simulation to test outcome of this paper in the range of 5VDC & 1.0A and 5VDC & 0.5A. A battery storage is needed to feed electricity independent and battery management of the battery is needed to improve the performance of battery life. This can be done by adding a charge controller unit. The outcome of this paper allows the battery to be charged using the solar panel and at the same time can produce multiple outputs for low voltages used. The software simulation has been done to shows this system produces two different output and the hardware will be developed based on the software results. Software and hardware result, both will be compared and analysed.
      26  6
  • Publication
    Self-assessing psychomotor skills using thinking-aloud technique via smartphone
    ( 2022)
    Nor Syamina Sharifful Mizam
    ;
    Zol Bahri Razali
    ;
    Mohamed Mydin Hj M.Abdul Kader
    This research aims to design and develop an automated device for self-assessing psychomotor skills without an instructor’s observation. The lab assessment usually needs an instructor to observe, measure, and analyze the student's skills. It consumed much time to monitor each student. The problem of assessing psychomotor skills in the laboratory can be solved using the latest technology. Thus, the design of an Automated Psychomotor Testing Kit will be used to measure student psychomotor skills via a smartphone. The result can be transmitted to the instructor's smartphone via the Blynk application using the Arduino Mega and Bluetooth module. For this research, 17 students of Robotic and Automation Technology (Treatment Group) and 19 volunteered students from other engineering technology programs (Control Group) participated. The detailed methodology is described in this paper. The results show that there is a significant difference in mean scores between the treatment and control groups. Thus, the researcher can conclude that changes in students' Psychomotor Skills (P.S.) resulting from laboratory classes are statistically significant and be measured.
      6  12
  • Publication
    Think-aloud Technique in Assessing Practical Experience: A Pilot Study
    ( 2020-12-18)
    Zol Bahri Razali
    ;
    Affendi N.S.S.R.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Daud M.H.
    The learning domains such as cognitive, affective and psychomotor for Engineering Technology programs should be identified and valued. The acquisition of hands-on experience in workplace settings and laboratory classes is just as important as explicit technical knowledge, and should be measured in psychomotor domain. However, the explicit knowledge is valued in engineering technology education. Furthermore, practically all assessments measure cognitive value. This implicit devaluation of hands-on experience could significantly impair engineering technology students' ability to acquire and value practical skills. Therefore, developing a new model to include effective assessment in psychomotor domain could be one way to overcome this problem. Thus, the aim of this project is to find ways to measure changes in hands-on experience in engineering laboratory classes. The second aim is to test the relationship between hands-on experiences acquired in laboratory classes with the ability to diagnose simple experiment faults in laboratory arrangements. The method of think-aloud is used in the research where the finding of students' attainment is compared to experts' acquisition. The results show that the value of psychomotor domain in laboratory classes via hands-on experience can be assessed and valued between two groups of students which is experiment and control group. Methodologies and detail results for this research are described in this project.
      2  14
  • Publication
    Aquaponic Ecosystem Monitoring with IOT Application
    ( 2023-08-01)
    Muhammad Naufal Mansor
    ;
    Mohd Zamri Hasan
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Wan Azani Wan Mustafa
    ;
    Syahrul Affandi Saidi
    ;
    Mohd Aminudin Jamlos
    ;
    Noor Anida Abu Talib
    Aquaculture is an agricultural technology that combines aquaculture (fish farming activities) with hydroponic activities (planting crops without soil media) in one circulation. The most important element in aquaculture is the existence of fish, plants, and bacteria. These three elements form a mutually beneficial relationship or symbiotic mutualism. The main purpose of the aquaculture system is to maintain water quality and reduce ammonia levels from the water so that it can be utilized by other organisms. In addition, aquaculture can also save space and can produce two types of human food simultaneously, plants and livestock. Agricultural technology design with Aquaculture also uses the concept of Internet of Things (IoT) as information from sensors and sensors of value generator is accessible through applications installed on smartphones from anywhere with an Internet connection. Development of monitoring of aquaponic ecosystems with IoT systems was developed using a program using micro-controls to control temperature, humidity, pH levels and water pumps. There are some improvements made to this project.
      1  23
  • Publication
    Characterizing Global Hand-Crafted Feature Descriptors for Sketch-Based Image Retrie
    ( 2022-02-14)
    Abbas M.H.
    ;
    Che Ani A.I.
    ;
    Abd Samat A.A.
    ;
    Hazim M.A.
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Setumin S.
    ;
    Muhammad Faisal Hamidi @ Abdul Rani
    Sketch-based Image Retrieval (SBIR) is an essential method of searching objects by drawing them in two-dimensional (2-D). The SBIR problem was that the image inside the dataset did not match the pair due to its modality difference. The main objective of this research is to compare which descriptor is better adapted to the SBIR. Histogram of Oriented Gradient (HOG), Gabor, and Local Binary Pattern (LBP) are selected for the study. Each sample will be divided into distance measures with features vector that corresponds to the training dataset will be compared the performance in order to study the best adapted to SBIR. Histogram of Oriented Gradient (HOG) is identified as the best descriptor for SBIR. HOG has shown a better performance than Gabor and LBP since the method shows the highest percent of distance matrices accuracy.
      1  15