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All Journal Perfecting a Video Game with Game Metrics Indonesian Journal of Electrical Engineering and Computer Science
Alias Khamis
Universiti Teknikal Malaysia Melaka
Computer Science & IT

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Fuzzy Logic Implementation with MATLAB for PV-Wind Hybrid System Alias Khamis; Mohd Ruddin Ab. Ghani; Chin Kim Gan; Mohd Shahrieel Mohd Aras; Muhamad Fiqry Khamis; Tole Sutikno; Jano Zanariah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.6099

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexThe development of hybrid renewable energy sources is vital in power generation. This study focused on design of fuzzy logic control on hybrid PV/Wind system in order to improve the speed of DC motor. The fuzzy logic control based on battery management system has been designed for effective power utilization and improvement of the DC motor speed performance. In battery management system, a control was proposed to operate the charging and discharging mode of battery during non-linear power generation. While the battery would charge whenever the renewable energy power was greater than consumer load power, the battery would discharge whenever the renewable energy power was less than the consumer load power. DC motor speed control, included the simulation, implementation of fuzzy logic controller to DC motor and comparison between PID controller and Fuzzy Logic Controller. The proposed model was simulated using Matlab environment and the results was analyzed. Finally, simulation results were evaluated and validated to determine the effectiveness of the proposed controller.
Implementation of Object Recognition Based on Type of Vehicle Entering Main Gate Hairol Nizam Mohd Shah; Mohd Zamzuri Ab Rashid; Zalina Kamis; Muhammad Nizam Kamarudin; Mohd Fairus Abdollah; Alias Khamis
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 2: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i2.pp458-467

Abstract

This project related to develop and implementation of object recognition based on type of vehicle entering the main gate to facilitate the employment data of vehicles entering according to the types of vehicles. Data for the number of vehicles in accordance with the types recorded. In completing this project, there are two algorithms used, the detection algorithm and classification algorithm. Vehicles will be classified by comparison in terms of it front light area and will be stored in three types of vehicles; sedan, multipurpose van or van, and four wheel drive. Wireless camera is mounted with 1.6 meters high on the pipe rod at the guard house as input for the processing algorithm. Vehicle image will be captured by a wireless camera and then processed to identify its type. Data for the type of vehicle and number of vehicles by type is shown through the Graphical User Interface (GUI). Inflow and outflow of vehicles can be monitored via the control unit (GUI) without human monitoring at the entrance.
Co-Authors Chin Kim Gan Hairol Nizam Mohd Shah Jano Zanariah Mohd Fairus Abdollah Mohd Ruddin Ab. Ghani Mohd Shahrieel Mohd Aras Mohd Zamzuri Ab Rashid Muhamad Fiqry Khamis Muhammad Nizam Kamarudin Tole Sutikno Zalina Kamis