2 research outputs found

    The Factors of Influence towards Knowledge Sharing Among TVET Educators: A Study on TVET Educators within Hulu Langat District

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    Similar to other higher education institutions, knowledge sharing among highly skilled instructors and other instructors is important in improving the quality of training and skills development in the Technical Vocational Education and Training (TVET) institutions. In this borderless world, information technology enables knowledge sharing activities to be carried out more efficiently, quickly and widely. Understanding the influencing factors of knowledge sharing activities in TVET institutions is important since a number of failures have been reported due to the lack of awareness in contributing new knowledge. Therefore, this study is conducted to identify the factors that influence knowledge sharing activities among instructors in TVET institutions and to propose a framework to the knowledge sharing activities. A quantitative study involving 96 respondents was conducted and the data that was analysed using multiple regression analysis found that there are four (4) factors that contribute to knowledge sharing activities in TVET institutions: organizational, content, cooperation and technological. The proposed framework is expected to assist in the development of a repository of knowledge sharing among instructors in TVET institutions

    Dynamic service orchestration in heterogeneous internet of things environments

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    Internet of Things (IoT) presents a dynamic global revolution in the Internet where physical and virtual ā€œthingsā€ will communicate and share information. As the number of devices increases, there is a need for a plug-andā€“interoperate approach of deploying ā€œthingsā€ to the existing network with less or no human need for configuration. The plug-and-interoperate approach allows heterogeneous ā€œthingsā€ to seamlessly interoperate, interact and exchange information and subsequently share services. Services are represented as functionalities that are offered by the ā€œthingsā€. Service orchestration provides an approach to integration and interoperability that decouples applications from each other, enhancing capabilities to centrally manage and monitor components. This work investigated requirements for semantic interoperability and exposed current challenges in IoT interoperability as a means of facilitating services orchestration in IoT. The research proposes a platform that allows heterogeneous devices to collaborate thereby enabling dynamic service orchestration. The platform provides a common framework for representing semantics allowing for a consistent information exchange format. The information is stored and presented in an ontology thereby preserving semantics and making the information comprehensible to machines allowing for automated addressing, tracking and discovery as well as information representation, storage, and exchange. Process mining techniques were used to discover service orchestrations. Process mining techniques enabled the analysis of runtime behavior of service orchestrations and the semantic breakdown of the service request and creation in real time. This enabled the research to draw observations that led to conclusions presented in this work. The research noted that the use of semantic technologies facilitates interoperability in heterogeneous devices and can be implemented as a means to bypass challenges presented by differences in IoT ā€œthingsā€
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