https://ir.kdu.ac.lk/handle/345/6708 Tue, 21 Apr 2026 15:30:08 GMT 2026-04-21T15:30:08Z https://ir.kdu.ac.lk/handle/345/7851 The Analysis of Existing Land Ownership in Urban Development with Special Reference to Meda-Minuwangoda Grama Niladhari Division Kuruppu, KAIS; Gunathilaka, AC; Ranawaka, CP; Perera, TGUP Sun, 01 Sep 2024 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/7851 2024-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7125 Enhancing Road Safety for Motorcyclists: A Modified Helmet with Live Monitoring of Eye Aspect Ratio for Driver Drowsiness Detection Nandakumara, MDSP; Atthanayake, IU; Rasnayake, RMDS Driver fatigue and drowsiness contribute to more than 20% of reported road accidents worldwide, with motorcyclists being particularly vulnerable. To address this issue, this study proposes a modified helmet with innovative features aimed at detecting and prevent ing rider drowsiness. To estimate driver drowsiness, the study utilizes various techniques, such as monitoring biomedical signals, visually assessing the driver’s bio-behaviour through facial images and observing the driver’s performance. The proposed algorithm focuses on live monitoring of the Eye Aspect Ratio (EAR) using image processing techniques. High-definition live video is decomposed into continuous frames, and facial landmarks are detected with a pre–trained neural network based on Dlib functions, trained using the HAAR Cascade algorithm. The image processing library, OpenCV, plays a key role in this algorithm’s implementation, which is carried out in Python. By calculating the EAR and continuously monitoring it against a predetermined threshold value, the algorithm can detect blinks and micro-sleep episodes. The detected blinks and the level of drowsiness are displayed on the monitor screen, accompanied by a vibration warning for micro sleep detection. In conclusion, this study presents an effective algorithm that leverages live monitoring of the EAR through image processing techniques to estimate driver drowsiness. Its implementation demonstrates promising results in identifying blinks, assessing drowsiness levels, and providing timely warnings to mitigate the risks associated with driver fatigue and drowsiness, thereby enhancing road safety for motorcyclists Fri, 01 Sep 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/7125 2023-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7124 Factors Influencing the Optimal Reintegration of Skilled Migrant Returnees in Gampaha District, Sri Lanka Seneviratne, KMD Some of the Nation’s consider traditionally, that the return migration has been positively viewed as a popular strategy. There is a question that it is not at satisfactory level of utilization of the experience and knowledge already gathered from their large working period in the employment in various countries with different industry segments. It is needed to find out the causes for not utilizing the knowledge and experience gained through their employment abroad, to achieve the maximum possible personal develop ment, after returning to the country and further to give the contribution to country’s industrial developments and take part in enhancing the economy of the country. For this study, details of 600 skilled migrant returnees of Gampaha district in Sri Lanka were collected through a random sample using an available population 8482 of skilled returnees in the district. It is required to understand that Sri Lanka Foreign Employment Bureau (SLBFE) have less accuracy on returnees as there is no compulsory entering of details by returnees at the time of arrivals at the airport or even after some specified period of time. Some personal factors of skilled migrants and some system factors of the relevant authorities in the country are considered to assess the effectiveness of the factors of reintegration, under the conceptual framework. A questionnaire was prepared for skilled migrant returnees, as respondents. Focus group discussion was carried out with the manager-reintegration, some experienced professionals in different professions with many years of overseas experience. Lack of interest, lesser initiatives and reluctant to change are the potential personal factors. Inadequacy of the implemented mechanism to gather returnees’ details at the airport and not centralizing the available opportunities in Sri Lanka, in view of deputing skilled returnees are the significant major system factors of the government organizations of the country. In this research study, some of the major personal factors of skilled migrants and some of the major system factors were considered to test their influences on reintegration as that most of the skilled migrant returnees have lack of interest to work in Sri Lanka after their arrival. Five folded reintegration approach which has to be executed by SLBFE, forwarded by the Ministry of Foreign Employment, as an action plan, and prepared with the support of International Labor Organization . First two aspects are considered by this research and balance three aspects are available to consider by the future researches. Fri, 01 Sep 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/7124 2023-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7123 Evaluating the Energy Performance of Green Roofs and Their Potential for Reducing Building Energy Demands Dikkumburage, NS The article aims to evaluate the energy performance of green roofs and explore their potential for reducing building energy demands. By examining existing research and case studies, it will analyze the key factors that influence the effectiveness of green roofs in different climates and building types. The findings of this study will provide valuable perceptions for architects, urban planners, and policymakers interested in incorporating green roofs as an effective strategy for sustainable building design and energy conserva tion. It has to be driven to the future as a modern technological strategy in responsible research and innovations Fri, 01 Sep 2023 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/7123 2023-09-01T00:00:00Z