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3. Application of machine learning in fracture analysis of edge crack semi-infinite elastic plate.

Author

Moghtaderi, Saeed H., Jedi, Alias, Ariffin, Ahmad Kamal, and Thamburaja, Prakash

Subjects
*FUNCTIONALLY gradient materials, *ELASTIC plates & shells, *DEEP learning, *MACHINE learning, *POISSON'S ratio, *ARTIFICIAL neural networks, *FRACTURE mechanics
Abstract

This document is a reference list for a research paper on fracture mechanics and structural integrity. The paper explores the effect of element size on fracture propagation stress using energy criteria. The research was funded by the Ministry of Higher Education Malaysia. The document also includes a Python code for an artificial neural network algorithm used in the research. The reference list contains other research papers on fracture mechanics, machine learning, and structural integrity. [Extracted from the article]

Published
2024
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9. Determination of Optimal Time-Average Wind Speed Data in the Southern Part of Malaysia.

Author

Derome, Daniel, Razali, Halim, Fazlizan, Ahmad, Jedi, Alias, and Purvis-Roberts, Katie

Subjects
WIND speed, WIND power, REFUSE containers, GOODNESS-of-fit tests, PHYSICAL distribution of goods
Abstract

Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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10. Rural public acceptance of wind and solar energy: a case study from Mersing, Malaysia

Author

Mohd Safari, Muhammad Aslam, Masseran, Nurulkamal, Jedi, Alias, Mat, Sohif, Sopian, Kamaruzzaman, Abdul Rahim, Azman, Zaharim, Azami, Mohd Safari, Muhammad Aslam, Masseran, Nurulkamal, Jedi, Alias, Mat, Sohif, Sopian, Kamaruzzaman, Abdul Rahim, Azman, and Zaharim, Azami

Abstract

The sustainable development of the energy sector through the implementation of renewable energy (RE) technology has been a primary concern for the government of Malaysia since the 1990s. Developing RE technology in rural areas is also one of the most important energy strategies. One of the most important requirements for the successful adoption of renewable energy technology is the public acceptance of this technology. This article examines the public acceptance of RE (wind and solar) technologies among rural residents in Mersing, Malaysia. This study is conducted in conjunction with the development of the hybrid wind–solar RE generation system for the Marine Ecosystem Research Centre (EKOMAR), which located in Mersing. To investigate the public acceptance of RE technologies, two surveys were conducted, before and after the installation of the hybrid wind–solar RE generation system. The findings revealed that RE innovations, such as wind and solar energy, were well known among 54.7% and 96.2% of the respondents, respectively, before and after the introduction of EKOMAR. The survey results showed that rural residents generally support RE technologies and EKOMAR RE projects. They were also in line that the use of RE should also be extended to other parts of Mersing, including wind and solar. These findings illustrate that EKOMAR has played a crucial role in educating local residents about RE, wind and solar energy in particular. Residents believe the government plays an important role, particularly in rural areas, in encouraging and enhancing RE technologies.

Published
2020

16. Newly Developed Nonlinear Vehicle Model for an Active Antiroll Bar System

Author

Zulkarnain, Noraishikin, Zamzuri, Hairi, Saruch, Sarah 'Atifah, Mustafa, Mohd Marzuki, Mokri, Siti Salasiah, Wahid, Nurbaiti, Ahmmad, Siti Nor Zawani, and Jedi, Alias

Subjects
Optimization, NSGA-II, Anti-roll bar, Vehicle model, Ride and handling
Abstract

This paper presents the development of a newly developed nonlinear vehicle model is used in the validation process of the vehicle model. The parameters chosen in a newly developed vehicle model is developed based on CARSIM vehicle model by using non-dominated sorting genetic algorithm version II (NSGA-II) optimization method. The ride comfort and handling performances have been one of the main objective to fulfil the expectation of customers in the vehicle development. Full nonlinear vehicle model which consists of ride, handling and Magic tyre subsystems has been derived and developed in MATLAB/Simulink. Then, optimum values of the full nonlinear vehicle parameters are investigated by using NSGA-II. The two objective functions are established based on RMS error between simulation and benchmark system. A stiffer suspension provides good stability and handling during manoeuvres while softer suspension gives better ride quality. The final results indicated that the newly developed nonlinear vehicle model is behaving accurately with input ride and manoeuvre. The outputs trend are successfully replicated.

Published
2018

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