Research Publications Authored by SLIIT Staff
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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.
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Publication Open Access An empirical study of students’ satisfaction with professional accounting education programs, Sri Lanka(researchgate.net, 2020-07-29) Nadishana, G. S. W. Y; Ameen, Z; Kulatunga, K. A; Perera, A; Perera, C; Madhavika, W. D. N; Nagendrakumar, NThis study aims to analyze the factors affecting students' satisfaction with professional accounting courses offered by Professional Accounting Education Institutions, and then aims to assess the impact of students' satisfaction and students' loyalty towards Professional Accounting Education Institutions in Sri Lanka. It is evident that a significant gap exists between student enrolment and the rate of students’ passing out as professional accountants as per the annual reports of the Institute of Chartered Accountants of Sri Lanka and the Institute of Certified Management Accountants of Sri Lanka (2014-2018). The study adopted a deductive methodology while employing a stratified random sampling technique and distributed 500 questionnaires which had a response rate of 80%. The data was analyzed using structural equation modeling via SPSS and AMOS versions 25. The study concludes that course assessment and institutional image, teaching methods, teaching staff, course organization and infrastructure facilities, and institutional administration and efficiency significantly impact the student satisfaction. And also, it concludes that the students’ satisfaction significantly impacts students’ loyalty. This study add value to the literature by focusing the students’ satisfaction from two extreme angles (i.e., students’ need and loyalty) and introduces a new model which would enhance the appropriate administration of the Professional Accounting Education InstitutionsPublication Open Access Comparison of different analyzing techniques in identifying rainfall trends for Colombo, Sri Lanka(Hindawi, 2020-08) Perera, A; Ranasinghe, T; Gunathilake, M. B; Rathnayake, U. SIdentifying rainfall trends in highly urbanized area is extremely important for various planning and implementation activities, including designing, maintaining and controlling of water distribution networks and sewer networks and mitigating flood damages. However, different available methods in trend analysis may produce comparable and contrasting results. Therefore, this paper presents an attempt in comparing some of the trend analysis methods using one of the highly urbanized areas in Sri Lanka, Colombo. Recorded rainfall data for 10 gauging stations for 30 years were tested using the MannKendall test, Sen’s slope estimator, Spearman’s rho test, and innovative graphical method. Results showcased comparable findings among three trend identification methods. Even though the graphical method is easier, it is advised to use it with a proper statistical method due to its identification difficulties when the data scatter has some outliers. Nevertheless, it was found herein that Colombo is under a downward rainfall trend in the month of July where the area receives its major rainfall events. In addition, the area has several upward rainfall trends over the minor seasons and in the annual scale. Therefore, the water management activities in the area have to be revisited for a sustainable use of water resources.Publication Open Access Comparison of statistical, graphical and wavelet transform analyses for rainfall trends and patterns in Badulu Oya catchment Sri Lanka(Hindawi, 2020-09) Ruwangika, A. M; Perera, A; Rathnayake, U. SClimate change has adversely influenced many activities. It has increased the intensified precipitation events in some places and decreased the precipitation in some other places. In addition, some research studies revealed that the climate change has moved seasons in the temporal scale. Therefore, the changes can be seen in both spatial and temporal scales. Thus, analyzing climate change in the localized environments is highly essential. Rainfall trend analysis in a localized catchment can improve many aspects of water resource management not only to the catchment itself but also to some of the related other catchments. This research is carried to identify the rainfall trends in Badulu Oya catchment, Sri Lanka. The catchment is important as it is in the intermediate climate zone and rich in agricultural productions. Four rain gauges (namely, Badulla, Kandekatiya, Lower Spring Valley, and Ledgerwatte Estate) were used to analyze the rainfalls in the resolutions of monthly, seasonally, and annually. 30-year monthly cumulative rainfall data for the above four gauging stations are analyzed using various standard tests. Nonparametric tests including Mann–Kendall test and sequential Mann–Kendall test and innovative trend analysis methods are used to identify the potential rainfall trends in Badulu Oya catchment. In addition, continuous wavelet transforms and discrete wavelet transforms tests are carried out to check the patterns on rainfall to the catchment. The trend analysis methods are compared against each other to identify the better technique. The results reveal that the nonparametric Mann–Kendall test is powerful to produce the statistically significant rainfall trends in qualitative and quantitative manner. Mann–Kendall analysis shows a positive trend to Ledgerwatte Estate in monthly (3.7 mm in February and 7.4 mm in October), seasonal (6.9 mm in the 2ndintermonsoon), and annual (3 mm annually) scales. However, the analysis records one decreasing rainfall trend to Kandekatiya (8.1 mm in December) only in monthly scale. Nevertheless, it was found that the graphical method can be easily used in qualitative analysis, while discrete wavelet transformations are efficient in identifying the rainfall patterns effectively.Publication Open Access Relationships between hydropower generation to rainfall – gauged and un-gauged catchments from Sri Lanka(hindawi.com, 2020-07) Rathnayake, U. S; Perera, AThe relationship between the rainfall and minihydropower generation in a catchment is highly nonlinear. Therefore, the prediction of minihydropower generation is complex. However, the prediction is important in optimizing the control of electricity generation under various environmental conditions. Ongoing climate variabilities have completely changed the minihydropower generation to some parts of the world, and it is significant. Therefore, this paper presents results from two soft-computing studies in searching the relationships between rainfall and the generated hydropower. The first study was carried out for a gauged catchment; however, the second was carried for an ungauged catchment. Results revealed that there is an acceptable correlation in between the rainfall and hydropower generation for the gauged catchment and a marginal contribution to the ungauged catchment.
