Siti Marhainis Othman
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Siti Marhainis Othman
Official Name
Siti Marhainis, Othman
Alternative Name
Marhainis, Siti
Othman, S. M.
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Scopus Author ID
55210362500
Researcher ID
ABF-6513-2020

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  • Publication
    Robot Face and Its Integration to the Mobile Robot for Wireless Signal Collection in the Fingerprinting-Based Indoor Positioning System
    ( 2021-12-01)
    Sarhan M.A.H.
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    ;
    Hashim M.S.M.
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Hassrizal Hassan Basri
    ;
    Siti Marhainis Othman
    ;
    Muhammad Juhairi Aziz Safar
    The wireless data collection for instance the Received Signal Strength (RSS) of the Wireless Fidelity (Wi-Fi) remained unfavourable in the Indoor Positioning System utilizing the signal fingerprinting approach. This is because the enormous sampling time and routines works making it tedious human labour. To alleviate this issue, we propose to use a robot for wireless data collection. The robot, named 'ICSiBOT' is a service robot with multiple purpose such as assisting human in daily lives, guest or hospitality robot and man others. This paper mainly describes the ICSiBOT robot face with speech recognition technology and the integration of the robot face to the motion controller. The experimental was conducted to see the correlation between the synthesized instructions from the speech in terms of distance need to be travelled i.e., the location for wireless signal collection and translate them into actual distance travelled. The results showed that the robot is able to travel to the specific distance as instructed to the robot face.
      1
  • Publication
    Optimization of controller design for magnetic levitation system by PSO, GSA and PSOGSA
    ( 2022-01-01)
    Siti Marhainis Othman
    ;
    Zuo W.W.
    ;
    Russhabiahtul Adawiyah Rustam
    ;
    Rahmat M.F.
    ;
    Mohd Saifizi Saidon
    ;
    Hassrizal Hasan Basri
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    The purpose of this paper is to design a PID controller by using PSO, GSA, and PSOGSA control techniques for MLS. A conventional PID control technique (tuned by Ziegler Nichols Method, ZN) is used to control the stability of the MLS. However, PID-ZN has the limitation usually produces a high value of overshoot. Therefore, to achieve optimal performance, PSO, GSA, and PSOGSA are adopted for tuning the PID controller. Also, the arrangement between PID-PSO, PID-GSA, and PID-PSOGSA are compared to find the best control technique for the MLS. The result of this paper shows PID-PSOGSA has the best performance compared to PID-PSO, PID-GSA, and PID-ZN in terms of percentage overshoot, settling time, rise time, and sum square of error.
      4  25
  • Publication
    Position Tracking Performance with Fine Tune Ziegler-Nichols PID Controller for Electro-Hydraulic Actuator in Aerospace Vehicle Model
    ( 2021-12-01)
    Devendiranath K.
    ;
    Siti Marhainis Othman
    ;
    Sunar N.
    ;
    Hassrizal Hassan Basri
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    ;
    Azmi M.S.M.
    ;
    Mohd Sani Mohamad Hashim
    Electro-Hydraulic Actuator (EHA) system is a third order non-linear system which is highly suffer from system uncertainties such as Coulomb friction, viscous friction and pump leakage coefficient which makes this system more complicated for the designing of the controller. The Proportional-Integral-Derivative (PID) controller has proposed in this paper to control EHA system and main problem in its application is to tune the parameter to its optimum value. Two different methods are used to tune the PID controller which are trial and error and Ziegler-Nichols method. MATLAB Simulink is used to simulate the system. In order to determine the performance of EHA system for the position tracking. 3 different of external disturbance such as 0N, 5000N and 10000N has been injected into the system. Simulation results show that the Ziegler-Nichols fine tuning method provides the better tracking performance when compared to the trial and error method for every specific disturbance setting. The Ziegler Nichols method provides better disturbance rejection as the performances indexes such as percentage overshoot, settling time and steady state error are not affected by the varying of disturbance.
      2  50
  • Publication
    IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
    ( 2023-01-01)
    Julida N.L.
    ;
    Siti Marhainis Othman
    ;
    Mohd Nasir Ayob
    ;
    Norasmadi Abdul Rahim
    ;
    Siti Nurul Aqmariah Mohd Kanafiah
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Sani Mohamad Hashim
    ;
    Masturah Tunnur Mohamad Talib
    ;
    Nurul Syahirah Khalid
    This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.
      5  38
  • Publication
    Integrating Vision System to a Pick and Place Cartesian Robot
    ( 2021-12-01)
    Tan K.S.
    ;
    Mohd Nasir Ayob
    ;
    Hassrizal Hassan Basri
    ;
    Abdul Halim Ismail
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Sani Mohamad Hashim
    ;
    Siti Marhainis Othman
    ;
    Shahriman Abu Bakar
    ;
    Low Y.H.
    Vision aided pick and place cartesian robot is a combination of machine vision system and robotic system. They communicate with each other simultaneously to perform object sorting. In this project, machine vision algorithm for object sorting to solve the problem in failure sorting due to imperfection of images edges and different types of colours is proposed. The image is acquired by a camera and followed by image calibration. Pre-processing of image is performed through these methods, which are HSI colour space transformation, Gaussian filter for image filtering, Otsu's method for image binarization, and Canny edge detection. LabVIEW edge-based geometric matching is selected for template matching. After the vision application analysed the image, electrical signal will send to robotic arm for object sorting if the acquired image is matched with template image. The proposed machine vision algorithm has yielded an accurate template matching score from 800 to 1000 under different disturbances and conditions. This machine vision algorithm provides more customizable parameters for each methods yet improves the accuracy of template matching.
      2  42