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 Economic and trade determinants of carbon emissions in the American region(Elsevier, 2025-06) Methmini, D; Dharmapriya, N; Edirisinghe, S; Gunawardena, V; Jayathilaka, R; Wickramaarachchi, C; Dharmasena, TBalancing economic growth with sustainability has been a significant challenge over the past decades, largely due to the environmental damage caused by carbon emissions. This study investigates the relationship between energy consumption, gross domestic product (GDP), and trade openness and their impact on carbon emissions in 28 countries in the American region from 2000 to 2022. Using a multiple linear regression model for country-level analysis, the findings reveal diverse trends across the region. For instance, countries such as Antigua and Barbuda, Bolivia, Brazil, Chile, and Guatemala demonstrate a strong link between economic growth and increased carbon emissions. In contrast, developed nations such as the United States and Canada show signs of decoupling GDP growth from emissions, supporting the Environmental Kuznets Curve hypothesis, which suggests that higher income levels lead to reduced environmental degradation. The study highlights the importance of tailored, country-specific strategies to reduce emissions while promoting sustainable economic growth. A thorough understanding of the complex relationships between gross domestic product, energy consumption, trade openness, and carbon emissions will enable policymakers to devise strategies that balance ecological sustainability with socio-economic objectives.Publication Open Access The cost of aging: Economic growth perspectives for Europe(PLOS ONE, 2023-06-23) Jayawardhana, T; Jayathilaka, R; Nimnadi, T; Anuththara, S; Karadanaarachchi, R; Galappathth, K; Dharmasena, TThis study explores the causal relationship between the economy and the elderly population in 15 European countries. The economy was measured by the Per Capita Gross Domestic Product growth rate, while the population aged above 65 as a percentage of the total was considered the elderly population. The data were obtained from a time series dataset published by the World Bank for six decades from 1961 to 2021. The Granger causality test was employed in the study to analyse the impact between the economy and the elderly population. An alternate approach, wavelet coherence, was used to demonstrate the changes to the relationship between the two variables in Europe over the 60 years. The findings from the Granger causality test indicate a unidirectional Granger causality from the economy to the elderly population for Luxembourg, Austria, Denmark, Spain, and Sweden, while vice versa for Greece and the United Kingdom. Furthermore, for Belgium, Finland, France, Italy, Netherlands, Norway, Portugal, and Turkey, Granger causality does not exist between the said variables. Moreover, wavelet coherence analysis depicts that for Europe, the elderly population negatively affected the economic growth in the 1960s, and vice versa in the 1980s.Publication Open Access Exploring the growth direction: the impact of exchange rate and purchasing managers index on economic growth in Sri Lanka(Springer Science and Business Media B.V., 2022-06-26) Jayathilaka, R; Rathnayake, R; Jayathilake, B; Dharmasena, T; Bodinayake, D; Kathriarachchi, DNumerous studies have been conducted, globally and locally, on the impact of the exchange rate on economic growth. In the local context, only a handful of research have investigated this area of study to determine the extent to which the Purchasing Managers’ Index infuence economic growth with the exchange rate, with limited research have been performed in Sri Lanka. This study explores the impact of exchange rate and Purchasing Managers’ Index on economic growth. Consequently, adopting an applied research methodology, the present study was based on secondary data published quarterly by the Central Bank of Sri Lanka reports and the Department of Census and Statistics of Sri Lanka from 2015 to 2021. The Vector autoregression model and Granger Causality Wald test were performed in this study. The empirical fndings highlighted that economic growth and Purchasing Managers’ Index have a signifcant negative impact on the economic growth, while the exchange rate had a signifcant positive impact on the economic growth. Furthermore, the exchange rate and the Purchasing Managers’ Index did not help to predict the exchange rate. The implications of the study demonstrate the relevance of the exchange rate and manufacturing Purchasing Managers’ Index as indicators of changes in overall economic growth activities at the macro level. The fndings will assist the Sri Lankan Government, policymakers, and foreign investors for efective decision making.Publication Embargo Image Enhancement Algorithm for Remote Surveillance Using Low Cost Cameras in Unevenly Illuminated Environments(IEEE, 2021-12-07) Dharmasena, T; Abeygunawardhana, P. K. WThe surveillance domain is becoming increasingly popular due to the demand for security and safety. In terms of the data being used, the cameras linked to them play an essential role. However, in poorly lit environments, the acquired image may appear to be underexposed when the camera adjusts itself to the light available in the scene, resulting in a loss of visual information in poorly lit regions. This could result in poor functionality in image based processing, as well as a negative impact on remote surveillance monitoring activities. This study offers a novel algorithm for improving the illumination of scenes that are unevenly lit using a selective pixels processing method to enhance the illumination of the environment. Rather than processing grayscale versions of red,green and blue channels to enhance the image, this approach uses value (v) channel of an HSV image.Publication Embargo Exploring the growth direction: the impact of exchange rate and purchasing managers index on economic growth in Sri Lanka(Springer, 2022-07-22) Jayathilaka, R; Rathnayake, R; Jayathilake, B; Dharmasena, T; Bodinayake, D; Kathriarachchi, DNumerous studies have been conducted, globally and locally, on the impact of the exchange rate on economic growth. In the local context, only a handful of research have investigated this area of study to determine the extent to which the Purchasing Managers’ Index infuence economic growth with the exchange rate, with limited research have been performed in Sri Lanka. This study explores the impact of exchange rate and Purchasing Managers’ Index on economic growth. Consequently, adopting an applied research methodology, the present study was based on secondary data published quarterly by the Central Bank of Sri Lanka reports and the Department of Census and Statistics of Sri Lanka from 2015 to 2021. The Vector autoregression model and Granger Causality Wald test were performed in this study. The empirical fndings highlighted that economic growth and Purchasing Managers’ Index have a signifcant negative impact on the economic growth, while the exchange rate had a signifcant positive impact on the economic growth. Furthermore, the exchange rate and the Purchasing Managers’ Index did not help to predict the exchange rate. The implications of the study demonstrate the relevance of the exchange rate and manufacturing Purchasing Managers’ Index as indicators of changes in overall economic growth activities at the macro level. The fndings will assist the Sri Lankan Government, policymakers, and foreign investors for efective decision making.Publication Open Access Novel Sprinter Assistive Smart Agent for Continuous Performance Improvement(IEEE, 2021-04-06) Subhashana, H; Bandara, C; Bandara, I; Devindi, A; Kuruwitaarachchi, N; Dharmasena, TIn the field of Sports, sprinting is the term used for introducing running over a short distance in a limited time. To date, a method to identify whether sprinters are getting enough speed during the accelerated period is not available so far. This paper proposes a smart agent to recognize the technical precision and performance of a sprinter using wireless hardware devices and a software solution. Smart shoe, track sensor, arm motion detection bracelet are the devices used to collect data from a sprinter. After required data collecting is complete the based web application provides feedback to the sprinter to improve sprinting techniques. This modern technology based system reduces human errors and workload of a trainer and would be highly beneficial for the sports community including coaches and sprinters as it could be accessed through mobile phones. The results of the study show the visualization of sprinter data effectively and an analysis on the obtained data regarding the performance.Publication Open Access Analysis and improvement of a construction permit approval process: A teaching case for developing business process development capabilities, targeting developing nations(ACIS, 2014) Weerasinghe, K; Bandara, W; Dharmasena, T; Kuruppubandara, M; Nawinna, D. PWith the increasing competitiveness in global markets, many developing nations are striving to constantly improve their services in search for the next competitive edge. As a result, the demand and need for Business Process Management (BPM) in these regions is seeing a rapid rise. Yet there exists a lack of professional expertise and knowledge to cater to that need. Therefore, the development of well-structured BPM training/ education programs has become an urgent requirement for these industries. Furthermore, the lack of textbooks or other self-educating material, that go beyond the basics of BPM, further ratifies the need for case based teaching and related cases that enable the next generation of professionals in these countries. Teaching cases create an authentic learning environment where complexities and challenges of the ‘real world’ can be presented in a narrative, enabling students to evolve crucial skills such as problem analysis, problem solving, creativity within constraints as well as the application of appropriate tools (BPMN) and techniques (including best practices and benchmarking) within richer and real scenarios. The aim of this paper is to provide a comprehensive teaching case demonstrating the means to tackle any developing nation’s legacy government process undermined by inefficiency and ineffectiveness. The paper also includes thorough teaching notes The article is presented in three main parts: (i) Introduction - that provides a brief background setting the context of this paper, (ii) The Teaching Case, and (iii) Teaching notes.Publication Open Access The usage of cash deposit machines: An empirical analysis of identifying determinant factors(2020) Jayathilaka, R; Pathiratne, H; Jayanath, C; Perera, H; Wickremasinghe, S; Dharmasena, TBanks in Sri Lanka have launched a new generation of machines facilitating cash deposits that are credited instantly to accounts. The purpose of this paper is to identify the factors that influence the customers’ level of cash deposit machines (CDMs) usage. The Technology Acceptance Model (TAM) was used to accomplish the purpose of the research. The study used primary data in the form of a structured questionnaire covering the variables of TAM. Correlational analysis was used to demonstrate the constructed hypotheses among the variables, and multiple linear regression was used to measure the impact of customer attitude towards the usage of CDM. Results from the analysis indicated that reliability, perceived ease of use, perceived risk and perceived usefulness were significant factors, whereas the security factor was considered less significant concerning the use of CDMs. The contribution of this research is related to the analysis from a theoretical and empirical perspective of the customer attitude towards the usage of CDM. The practical implications drawn from this study will be useful to bank managers, marketing experts and advertising executives in providing good quality services promoting CDM, whilst developing grievance settlement to build trust among customers, enabling extensive usage.Publication Embargo Digital Preservation and Noise Reduction using Machine Learning(IEEE, 2021-12-09) Aravinda, K. P; Sandeepa, K. G. H; Sedara, V. V; Chamodya, A. K. Y. L; Dharmasena, T; Abeygunawardhana, P. K. WThis paper proposes a digital preservation solution for Sinhala audios to conserve those as documents with noise reduction. The solution has implemented multiple noise reduction techniques as a pre-processing step to remove unwanted internal and external noises. A two-step, two-way noise reduction process is applied to produce clean audios based on Deep Convolutional Neural Network (DCNN) and adaptive filter-based techniques. This approach implements two separate noise reduction models for internal and external noises. After that, the speech recognition decoder recognizes the speech and converts it to a Unicode document by acoustic, language, and pronunciation models using extracted audio features from the denoised audio. Further, noise reduction models are decoupled from the preservation solution and exposed as a sub solution for multilingualism noise reduction, supporting English and Sinhala audios.Publication Embargo Design and implementation of an autonomous indoor surveillance robot based on raspberry pi(IEEE, 2019-12-05) Dharmasena, T; Abeygunawardhana, P. K. WIn recent years robotics has influenced many fields including the security and surveillance domain. Due to convenience and flexibility more and more security robots tend to be deployed in place of humans for routine activities such as area sweeps. While there are many kinds of research have been done regarding this concern, many of the solutions cost more due to their implementation complexity while low-cost implementations are only capable of doing simple activities such as following given local coordinates. This paper describes an autonomous surveillance robot that is being developed while keeping the development costs as low as possible and is capable of performing routine patrols autonomously in indoor environments and detect anomalies around it such as temperature fluctuations, unauthorized personals and report them back to a central computer. This robot can be controlled remotely by security personals to facilitate manual inspections. Due to the development architecture of the robot, more software-based features can be added easily.