Browsing by Author "Warnakulasuriya, D"

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Open Access
THE APPLICABILITY OF REGULATIONS FOR THE DISPOSAL OF CONSTRUCTION AND DEMOLITION WASTE IN SRI LANKA
(researchgate.net, 2022-06-24) Edirisinghe, V; Dahanayake, R; Tissera, A. C; Warnakulasuriya, D
Effective and efficient waste management plans/systems are vital in reducing and maintaining the generation of construction and demolition waste. It was proved in previous research, proper rules and regulations affect the effectiveness of the waste management strategies used in disposing of construction and demolition waste. Therefore, this research aim is to identify the regulations applicable for the disposal of construction and demolition waste in Sri Lanka to propose improvements in the available rules and regulations. Comprehensive literature and document review were conducted to approach the aim of this research. Questionnaire surveys and expert interviews were carried out to validate the findings of the literature survey and to gather required data in identifying the issues related to current rules and regulations and proposing improvements. The findings revealed that many gaps can be identified with the current regulations used in the disposal of construction and demolition waste. The results of the research identified a lack of intention in government regarding recycling, avoiding improper landfilling, and avoiding illegal dumping of construction and demolition waste as major issues. The study finally concluded the necessity of modified rules and regulations regarding the disposal of construction and demolition waste.
Embargo
Mobile Medical Assistant System for Laboratory Report Analysis and Medical Drug Identification
(IEEE, 2022-12-09) Warnakulasuriya, D; Dewangi, T; Sewwandi, N; Rathnayake, M; Kodagoda, N; Suriyawansha, K
It is quite common for medical drugs and prescriptions to be misidentified by hospitals and after drugs are being dispensed to the patients. Misidentification of medical drugs is more common among elderly and visually impaired patients. In hospital organizations, the leading medical error is adverse drug events. Another most common issue patients face is keeping track of medical lab reports. Our proposed mobile medical assistant system uses image processing to identify drugs with or without packaging, identifying prescription and medical lab reports. Furthermore, the mobile application will identify the trends of medical lab reports and predict next month’s results of the medical lab report of the patient using machine learning.