Browsing by Author "Abeysiri, L"

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Embargo
AI-Driven Smart Bin for Waste Management
(IEEE, 2020-12-10) Abeygunawardhana, A. G. D. T; Shalinda, R. M. M. M; Bandara, W. H. M. D; Anesta, W. D. S; Kasthurirathna, D; Abeysiri, L
With increasing urbanization, waste has become a major problem in the present world. Therefore, proper waste management is a must for a healthy and clean environment. Though government authorities in most countries provide various solutions for waste management, solid waste tends to make a significant impact on the environment as they do not decompose easily. This research focuses on AI (Artificial Intelligence)-driven smart waste bin that can classify the most widely available solid waste materials namely Metal, Glass, and Plastic. The smart waste bin performs the separation of waste using image processing and machine learning algorithms. The system also performs the continuous monitoring of the collected waste level by using ultrasonic sensors. A dedicated mobile application will generate the optimal routes for the available waste collectors to collect the filled bins. Moreover, with this smart bin, the challenge of recognizing each waste item is overcome by using visual data as the source. Therefore, the usage of expensive sensor devices and filtration techniques to determine the category is disregarded. The smart bin can recognize the category of solid waste, collect it to the specified container, and notify the garbage level in each container. So, it is a portable waste management system.
Open Access
Bridging the Skill Gap between Information Technology Academy and Industry: Case of Identification of IT Skills needed in IT Undergraduates
(researchgate.net, 2014-12) Kasthuriarachchi, K. T. S; Abeysiri, L
From last few decades, the Information Technology has been influencing every aspect of a country, including: industrial, egovernance, social, educational and related others. Sri Lanka, with the intention of realizing knowledge hub, as one of its national visions, has no exception in front of the influence of the Information Technology. Accordingly, business process outsourcing sector has become a competitive industry to the national economy, supplying foreign exchange to the country, creating numerous employment opportunities, being an influencing force for country’s brain-drain. As a result, IT related academic and professional education sector became an intermediary industry to supply qualified people to the IT industry. However, meeting industry requirements and capabilities of graduates is found as not matched. It has discovered that, not only the knowledge that matters at the industry, graduates’ skills, attitudes, personalities play a considerable role for them to be succeeded in the industry. This research focuses on identifying skill requirements need to be excelled by IT undergraduates as successful IT professionals. Depending on the diverse nature of the research a mixed methodology including both qualitative and quantitative methods has been used
Embargo
Workload management to optimize productivity in tertiary and quaternary education
(IEEE, 2017-01-27) Abeysiri, L; Weerawarna, N. T; Abeygunawardhana, P. K. W
The use of a common yardstick to determine `work hours' for different categories of workers cannot be accepted due to differences between types of work that demand mind and labour. In this connection, where labour only is considered, there are accepted `work hours' recognized internationally. However, for tertiary and quaternary education there is no such acceptance although similarities exist. Available frameworks in existing literature still fails to reveal any such. Yet, there needs to be some measurement. Taking advantage of the proportionate task assessments made so far, this research attempts to establish proportions between and among tasks carried out by members of the academia. Purpose of this study is to develop a comprehensive workload management system with weightage assignment which accounts all activities that academia are performing.