Browsing by Author "Kharabsheh, Radwan"
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Item Quality model construction and continuous improvement mechanism design in OBE education(Sciendo, 2021) Yong, Wang; Kharabsheh, Radwan; Bester, FrancoisThe construction of quality model for outcome-based education (OBE) Education Mode is an important foundation to guarantee the effective implementation of OBE education reform. The quality model for OBE Education Mode is constructed by layers in this paper according to the reverse design characteristics of OBE Education Mode, which is centred on the students' learning outcome quality, and in accordance with the closed-loop control requirements for quality. Based on the design of the quality monitoring mechanism, the achievement evaluation mechanism and the feedback and improvement mechanism, a three-dimensional, linked and whole-process quality model system is formed with daily monitoring as the means, the achievement evaluation as the core, the feedback of evaluation result as the focus and the continuous improvement as the goal. Finally, the suggestions are made at the level of implementation to further guarantee the operation effect of the quality model, and so as to offer the important assurance for overall promotion of OBE Education Mode reform. © 2021 Wang Yong et al., published by Sciendo 2021.Item Radioactive source search problem and optimisation model based on meta-heuristic algorithm(Sciendo, 2022) Zhang, Min; Lu, Xuewen; Hoffman, Ettiene; Kharabsheh, Radwan; Xiao, QianghuaIn the process of rational development and utilisation of nuclear energy, people often face nuclear accidents such as lost and stolen radioactive sources; so, the means of searching for these sources quickly in highly radioactive environments is an important security challenge. In the past, these jobs were limited to workers specialising in nuclear technology. They used gamma-ray detection equipment to search for radioactive sources, but the search efficiency was low. The main purpose of this article is to design a meta-heuristic algorithm based on imitating professional technicians to locate radioactive sources in a computer-aided manner. At the same time, due to the complexity that may characterise the actual search, the search strategy must be optimised. The article established an intelligent random search model with human thinking. Finally, it was proved based on the mathematical theory that the complexity of the model search algorithm is linear, and the simulation experiment results show that the optimisation algorithm has good efficiency and fault tolerance. © 2021 Min Zhang et al., published by Sciendo 2021.