The basic aim of this journal is to provide a platform for the researchers, innovators, scholars and students to share their research. http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1916 2026-04-22T00:32:49Z 2026-04-22T00:32:49Z Selvarathnam, M.S. Thayaparan, A. Gunathilaka, G.Y.N. http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4307 2024-05-05T17:50:17Z 2022-12-01T00:00:00Z

DETERMINANTS OF RESIDENTIAL SATISFACTION TOWARDS ‘SIRI SARA UYANA’ GOVERNMENT HOUSING COMPLEX IN COLOMBO DISTRICT Selvarathnam, M.S.; Thayaparan, A.; Gunathilaka, G.Y.N. This study investigates the effects of socio-demographic characteristics, physical features of the house, neighbourhood facilities, and maintenance services on the residential satisfaction of the occupants in the ‘Siri Sara Uyana’ government housing complex in the Colombo district. This housing unit consists of 430 occupants and among them, only 150 respondents were randomly selected through a structured questionnaire in the study. The data were collected from February to April 2020 and were analyzed using frequency and ordered probit model. The frequency of residential satisfaction revealed that 61.33 percent of the occupants who live in the housing apartment were not satisfied, whereas 27.33 percent of them were satisfied, followed by only 11.33 percent of them being satisfied neutrally. The results of the ordered probit model showed that the number of family members significantly impacts residential satisfaction. Among the maintenance facilities, plumbing services, corridor maintenance, cleaning services, and elevator facilities significantly impact residential satisfaction. Accessibility to the market, schools and parking were identified as significant factors in the neighbourhood. Further, the size of the bedroom, bathroom and electrical installation were found as physical features that significantly impact residential satisfaction. The findings of the study provide an understanding of the critical factors that facilitate satisfaction or dissatisfaction of the occupants which can play a serious part in making successful housing policies in the future.

2022-12-01T00:00:00Z Sirikanth, Sivakumaran http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1921 2022-06-15T07:28:04Z 2021-12-01T00:00:00Z

The status and challenges of the E-Learning in the plantation sector: A Study based on the Covid-19 epidemic in Sri Lanka Sirikanth, Sivakumaran ICT are highly dominating all aspects of Education sector in the world during the Covid-19 pandemic which is not an exception for Sri Lanka. Plantations are one of the most backward communities in Sri Lanka. In this backdrop, this study is “Identify the status and challenges of the E-learning system in the Plantation Sector during the Covid-19 epidemic”. This study adopts mixed approaches and collected primary data using online questionnaire (google form) survey and zoom interviews with students. Secondary data was collected from several resources. The convenience sampling method used to select the 250 Students in plantation and the data were analyzed through SPSS version-25. E-learning System, 90.2% of them are using smartphones, 13% of them are using laptops, and 5.2% of them do not have any device to participate in e-learning and 91.1% utilize the Zoom app, 16.2% use Google Meet use for it. The average computer literacy rate is 11.12% and digital literacy is 19.64% for the last five years in the plantation. Grade 5 students are learning 10.48 hours, and undergraduates are learning 14.67 hours per week. Educational levels have a substantial impact on the cost of online learning. Grade 5 students are very lowly satisfied (mean value=2.65 and SD=0.885) with e-learning, whereas postgraduate students are highly satisfied (mean=3.86, SD=0.378) with the online system. Educational levels are significantly correlated (0.205(P>0.05)) with knowledge improvements through online learning. Primarily, students like e-learning due to Covid-19 (66.4%), while they dislike its lack of network coverage (53.2%). 64.1% of those affected by eyes that begin to burn and itch and 54.7% of those with headaches. The setbacks in social and economic factors and the lack of ICT infrastructure are affecting the e-learning system in the plantations. Therefore, effective policy and institutional measures are vitally important to address these shortcomings and move towards the sustainable development of the e-learning system in plantations as well as Sri Lanka.

2021-12-01T00:00:00Z Gunathilaka, N.V. Tennakoon, W.D.N.S.M. W.J.A.J.M., Lasanthika http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1919 2022-06-15T04:31:17Z 2021-10-01T00:00:00Z

Factors Affecting to the Success of Computerized Maintenance Management System in Multinational Beer Companies Gunathilaka, N.V.; Tennakoon, W.D.N.S.M.; W.J.A.J.M., Lasanthika A computerized maintenance management system or CMMS is software that centralizes maintenance information and facilitates the processes of maintenance operations. It helps optimize the utilization and availability of physical equipment like vehicles, machinery, communications, plant infrastructures and other assets. CMMS essential because they make it easier and more efficient for maintenance managers and departments to meet their primary objective: reliable uptime. Purpose of the study was to identify the factors affecting to success CMMS in multinational beer companies. A quantitative study was performed and structural modeling was used to analyze data with the aid of SmartPLS software. Results suggested that the Data standard, role assignment and Continues improvement are significant predictors successful CMMS and findings contribute to the existing literature on computer science. Further managerial implications are encouraged for better implementation of CMMS.

2021-10-01T00:00:00Z Heenkenda, H.M.S.R. Karunaratna, D.D. Arunatilake, S.M.K.D. http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/1918 2022-06-15T03:58:42Z 2021-10-01T00:00:00Z

Digital signatures for singers to identify their songs Heenkenda, H.M.S.R.; Karunaratna, D.D.; Arunatilake, S.M.K.D. Counterfeiting is the process of imitating the voice of a popular artist, with the intention of selling or passing the imitations as genuine. This research is aimed at identifying the imitated songs by generating unique digital signatures for each singer by using songs sung by the artists. Songs typically contain vocal signals surrounded with instrumental signals. In order to generate signatures for the voice of a singer, the vocals have to be isolated. Voice isolation and Artist classification had been addressed as two different problems throughout the past decades. Our research combines these two problems, to build a unique signature model for each singer. This study proposes a technique to isolate vocal signals from instrumental signals by using REPET filter, Harmonic - percussive source separation, Butterworth band-pass filter and silence removal. This technique show better results than the prevailing techniques for vocal isolation. The signatures are then generated by extracting features from the isolated vocal signals and represented as GMM Models. The results of this research are evaluated through quantitative and qualitative approaches by using a sample of songs sung by Sri Lankan artists. The outcome of this research has demonstrated the possibility of generating digital signatures for singers by using their songs. The technique proposed has the ability to distinguish singers having similar voices accurately. Finally, the technique proposed in this paper could be used to generate unique signatures for singers who sung similar songs.

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