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All Journal Journal of Robotics and Control (JRC) International Journal of Advanced Health Science and Technology
Hussein, Mohamed
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Health Professions Mechanical Engineering Nursing Public Health

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Lane Keeping Maneuvers Using Proportional Integral Derivative (PID) and Model Predictive Control (MPC) Samuel, Moveh; Mohamad, Maziah; Hussein, Mohamed; Mad Saad, Shaharil
Journal of Robotics and Control (JRC) Vol 2, No 2 (2021): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2256

Abstract

Safety has being a concern as a result of the high rate of road accidents and has led to the development of  driver assistance system such as Active braking, Cruise Control, Lane departure warning lane keeping and etc. has become a very active research area. However, this paper presents the performance and robustness analysis of a model predictive control and proportional integral derivative control for lane keeping maneuvers of an autonomous vehicle using computer vision simulation studies. A simulation study was carried out where a vehicle model based on single tracked bicycle model was developed in MATLAB/SIMULINK environment together with a vision dynamic system. Both PID controller and MPC were simulated to maintain the desired reference trajectory of the vehicle by controlling steering angle. Further performance and robustness analysis were carried out and the simulation results show that the proposed control system for the PID control achieved its objective even though it was less robust in maintaining its performance under various conditions like vehicle load change, different longitudinal speed and different cornering stiffness. While in the case of MPC the optimizer made sure that the predicted future trajectory of the vehicle output tracks the desired reference trajectory and was more robust in maintaining its performance under same conditions as in PID.
Can Osteoarthritis be Cured by Mesenchymal stem cells (MSCs)? A Literature Review Hussein, Mohamed
International Journal of Advanced Health Science and Technology Vol. 3 No. 3 (2023): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v3i3.234

Abstract

Osteoarthritis (OA) is a degenerative joint disease that affects millions of people worldwide. The disease frequently results in discomfort, edema, and stiffness, which can impair movement, make everyday tasks challenging, and even render a person disabled. Since osteoarthritis is presently incurable, researchers are working hard to find new treatments. Adult Mesenchymal stem cells (MSCs) are the most common stem cells used in the therapy of OA in clinical trials. They are simple to extract for researchers from bone marrow or adipose. Depending on the kind of tissue that contains them, MSCs can develop into cartilage, bone, muscle, tendon, ligaments, or fat. For this reason, scientists are researching MSCs in OA stem cell therapies. According to research, MSCs produce substances that promote healing and reduce pain. According to some research, they may aid in reducing pain, swelling, and loss of motion when injected into a joint. Researchers conduct an examination of articles that are in accordance with the issue to be studied. Articles used in literature review are obtained through the database of international journal providers through PubMed, we investigated clinical studies and discussed what happened in these clinical studies and the extent of the effectiveness of stem cells in treatment of osteoarthritis. Different patients have responded differently to this therapy. While some people have experienced pain others have not. Research is still required to determine whether stem cell therapies for OA are effective and why some people respond to the therapy more favorably than others.
Co-Authors Mad Saad, Shaharil Mohamad, Maziah Samuel, Moveh