Research Publications

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Open Access
Exploring the Kelson’s Pure Theory of Law beyond the Philosophical Value
(School of Law, Faculty of Humanities and Sciences, 2025-10-10) Kodithuwakku, K N K R
Jurisprudence is the philosophy of the law, which delivers an interesting narrative by analyzing law from different perspectives. As far as positivism is concerned, this is one of the luminescent schools of jurisprudence among other ideologies. German Positivism ideas differ from the British Positivism since it neither considers ethics nor facts. Kelson is one of the frontline scholars who introduced the Pure Theory of Law by enriching the Jurisprudence widely, while influencing other scholars to contribute to the legal system. Even though this eminent philosophy fattened the Jurisprudence, still there are some existing conundrums which did not fathomed by the Kelson. This paper intends to discuss the nature of the pure theory while focusing on the effectiveness and validity of Kelson’s basic norm with the separability thesis to identify the practical issues for better application.
Open Access
Perceptions of Third-Year TESL Undergraduates on Kahoot as a Gamified Learning Tool in Sri Lanka
(SLIIT City UNI, 2025-07-08) Wijayarathna, T
The rapid and increased technology integration becomes an important position, especially in the language learning context. Kahoot, as a gamification tool, is implemented in English Language learning classrooms. The application of this gamified element is examined in various educational contexts and becomes widespread in higher education due to its significance. Nevertheless, only few studies regarding students’ perceptions towards the use of Kahoot among teaching English as a Second Language undergraduates were reported. Therefore, this present study investigates third-year TESL undergraduates’ perceptions towards utilising Kahoot in enhancing their English Language skills within their semesters. This research project examines how a focus group of five third-year undergraduates, currently studying at the department of English Language Teaching, University of Kelaniya, has perceived Kahoot as a gamified tool to enhance their learning. Semi-structured interviewing was used as the data collection instrument, where five interviews were conducted in total, with each interview lasting approximately thirty minutes. The collected data were analyzed using the thematic analysis method. The findings of the study provide evidence for the presence of a number of unique perceptions among the interviewed participants. They emphasized that the implementation of Kahoot becomes more effective for their learning, while they overcome a few challenges with the use of Kahoot as a gamified tool. Furthermore, suggestions are discussed for the effective implementation of Kahoot. This study has already reiterated the need to explore this research area further because the studies are very limited. There should be further studies for ESL (English as a Second Language) development. In conclusion, the research has the potential to promote social change by emphasizing the importance of using Kahoot as a gamified element in pedagogy in Sri Lankan universities.
Open Access
Lean Tools to Improve Efficiency and Effectiveness in Sri Lankan Private Hospital Sector
(SLIIT Business School, 2023-12-14) Patabendige, D.I.K.; Udugampola, N.C.; Wickramathunga, K.G.; Dilshan, S.A.S.; Karunarathna, N.; Shamila, A.K.P.P.
Lean tools can be identified as one of the main practices that are being used in different industries around the world to enhance the efficiency and effectiveness of the organizational process while adding value to the end customers. When it comes to the private medical sector in Sri Lanka, it is important to uplift the quality standards to ensure customer satisfaction and to become helpful to the public medical sector, and implementing lean practices can be an ideal way to uplift the private medical sector in the country. This paper aims to examine the practical applications that can be used to enhance the impact of lean practices in the supply chain function of the private hospital sector in Sri Lanka. The authors gathered data from in-depth interviews conducted with supply chain professionals such as executives and managers of the private hospital sector and focused more on the suggestions of the interviewees on improving the impact of lean practices on the supply chain system of the Sri Lankan private hospital sector. The final results and conclusions of the study are extracted through thematic analysis which is used to evaluate data gathered through in-depth interviews and the practical applications that can be implemented in the private medical sector to maximize the effectiveness of current lean supply chain practices in the Sri Lankan private hospital sector which provides a considerable impact on the overall performance of the private healthcare sector of the country such as value stream mapping, Focus PDCA, Improve Staff engagement and Reduce medical errors has been identified as the findings of the study which can be beneficial in terms of reducing organizational cost, improving service quality and, eliminating wastage while enhancing overall organizational performances.
Embargo
Emission Activity Parts Extraction using custom Named Entity Recognition
(IEEE, 2022-12-09) Mannavarasan, M; Gamage, A; Sivarajah, V; Chandrasiri, S
Dental health-related disorders have proliferated worldwide due to the excessive intake of fast food and sugary foods, which was followed by bad oral hygiene practices. The cost of dental examinations may change based on how critical the condition is, regardless of whether they are not regular. For a person, diagnosing an oral health problem, particularly locating the disease’s underlying cause, can be challenging. To properly diagnose and treat such conditions, advanced dental diagnostic techniques may be necessary. By offering convenience and enhancing their oral health knowledge, the system seeks to serve as a prediction tool that regular people can utilize to detect potential tooth illnesses at an early stage. It is encompassed as a mobile application where a Mask R-CNN model is used in the core that accepts a dental radiograph as the input. The trained model will be able to identify diseases related to the bone and teeth. Based on the performance evaluations, the accuracy of the results that are obtained in tooth type, restoration quality, dental caries, and periodontal disease identification falls in the range of 75%-80%.
Embargo
Effectiveness of Using Radiology Images and Mask R-CNN for Stomatology
(IEEE, 2022-12-09) Jayasinghe, H; Pallepitiya, N; Chandrasiri, A; Heenkenda, C; Vidhanaarachchi, S; Kugathasan, A; Rathnayaka, K; Wijekoon, J
Dental health-related disorders have proliferated worldwide due to the excessive intake of fast food and sugary foods, which was followed by bad oral hygiene practices. The cost of dental examinations may change based on how critical the condition is, regardless of whether they are not regular. For a person, diagnosing an oral health problem, particularly locating the disease’s underlying cause, can be challenging. To properly diagnose and treat such conditions, advanced dental diagnostic techniques may be necessary. By offering convenience and enhancing their oral health knowledge, the system seeks to serve as a prediction tool that regular people can utilize to detect potential tooth illnesses at an early stage. It is encompassed as a mobile application where a Mask R-CNN model is used in the core that accepts a dental radiograph as the input. The trained model will be able to identify diseases related to the bone and teeth. Based on the performance evaluations, the accuracy of the results that are obtained in tooth type, restoration quality, dental caries, and periodontal disease identification falls in the range of 75%-80%.
Open Access
Attitude of the Students towards the Usage of Group Activities as a Remedy for Secondary Language Speaking Anxiety
(Faculty of Humanities and Sciences (FHS) of the Sri Lanka Institute of Information Technology (SLIIT) Malabe, 2020-12-01) Peiris, A.E.
As literature suggests Second Language (L2) speaking has always been a challenge for students. One of the main issues is the apprehension occurring when a learner is expected to perform in the second language. As facilitators at the tertiary level, it is vital to create a low-anxiety classroom to help students with L2 speaking anxiety. This research attempts to investigate the perspective of students towards using group activities to reduce speaking anxiety in the English as a Second Language (ESL) classroom. The sample group consisted of forty-five Post Advanced Level Students from an intensive course in a private institute. A questionnaire prior to any speaking activity and weekly questionnaires while conducting both group and individual speaking activities were given to this mixed ability group for three weeks to study their attitude towards L2 speaking. Initial findings were that majority (86.7%) of students were afraid of L2 speaking due to several reasons. However, that percentage was dropped to 56.5% and 38.7% at the second and third week respectively irrespective of the medium of communication at school, and the usage of English at home. . In contrast the initial percentage of not afraid of L2 speaking (13.3%) was increased to 43.5% and 61.3% respectively at second and third week. These results clearly indicate that the students preferred group activities more than individual activities. Group activities have helped the students to make an effort to speak as there were students who did speaking activities for the first time in their life. It is recommended that group activities can be used to a certain extent as an effective tool to reduce speaking anxiety.
Embargo
Effectiveness of rule-based classifiers in Sinhala text categorization
(IEEE, 2017-09-14) Haddela, P. S; Lakmali, K. B. N
In the recent past, the growth of Sinhala text usage on the web has been increasing rapidly due to the advancement in the field of information and communication technologies in Sri Lanka. With this change in society, automatic text categorization becomes important for many operations in computing. Therefore, the aim of this research is to assess commonly used rule based text classification algorithms against the Sinhala dataset. This study is limited to rule based classifiers as they are humanly interpretable by nature, which gives an added advantage to text classification. This paper presents a. The comparison of experiment results of rule based classifiers b. SinNG5 corpus and Sinhala stop word list named as SinSWL. The corpus and stop word list are freely available for academic researches.
Embargo
On The Effectiveness of Using Machine Learning and Gaussian Plume Model for Plant Disease Dispersion Prediction and Simulation
(IEEE, 2020-05-29) Miriyagalla, R; Samarawickrama, Y; Rathnaweera, D; Liyanage, L; Kasthurirathna, D; Nawinna, D; Wijekoon, J
Agriculture plays a vital role in the economic development of the entire world. Similarly, in Sri Lanka, 6.9% of the national GDP is contributed by the agricultural sector and more than 25% of Sri Lankans are employed in the field of agriculture. But the frequent fluctuations of climate conditions have caused the spread of diseases such as late blight which eventually has led to the devastation of entire plantations of Sri Lankans. To this end, this paper proposes to forecast the possible dispersion pattern and assist the farmers in identifying the possibility of the disease getting dispersed to nearby crops to provide early warning. Eventually, it leads the farmers to take precautions to save the plants before reaching a critical stage. The yielded results show that the proposed method successfully performed disease diagnosis and disease progression level identification with 90-94 % accuracy and dispersion pattern analysis.
Embargo
Effectiveness of artificial intelligence, decentralized and distributed systems for prediction and secure channelling for Medical Tourism
(IEEE, 2020-11-04) Subasinghe, M; Magalage, D; Amadoru, N; Amarathunga, L; Bhanupriya, N; Wijekoon, J
Good health and wellbeing, a sustainable development goal introduced by the United Nations to be achieved by 2030. Sri Lanka is a country that highly depends on tourism. A healthcare system which consists of high quality and low-cost services and an abundance of tourist attractions makes Sri Lanka to be one of the best medical tourism destinations. Tourism and travel have contributed to the GDP of Sri Lanka by 11.1 billion USD by 2018. Lack of technological advancements within the medical sector has drawn back the ability to smoothly cater medical tourism. The proposed system aims for an advanced technological improvement that would help in further developing and contributing to medical tourism. To this end, this paper introduces an Intelligent System for Secure Channeling platform that aids medical tourism with the help of artificial intelligence and blockchain technologies. System proposes a treatment prediction and suggesting the best doctor for it and a secured network to store and access electronic health records (EHR). The yielded results show that the proposed method successfully performed treatment prediction with 79-88% accuracy.
Embargo
On the effectiveness of IP-routable entire-packet encryption service over public networks (november 2018)
(IEEE, 2018-11-20) Tennekoon, R; Wijekoon, J; Nishi, H
The Internet is an unsecured public network accessed by approximately half of the world population. There are several techniques, such as cryptography, end-to-end encryption, and tunneling, used to preserve data security and integrity and to reduce information theft. This is because the security of data transmission over public networks is an ever-questionable issue. However, none of the above techniques are capable of providing the flexibility of changing either the algorithm or its key at the intermediary routers according to the requirements of stakeholders, e.g., ISPs or Internet users. Although the transmitted data are encrypted and unreadable, the metadata contained in the packet headers are readable during traversal. Nonetheless, service-based Internet architectures, e.g., IoT architectures, demand the analysis the data streams at the intermediary routers to provide smart services such as strengthening the security of the data streams. To this end, this paper proposes a method to use service-oriented routers for providing secure data transmission by encrypting data packets including the header and trailer information. A prototype of the proposed method is implemented on the ns-3 simulator, and this paper discusses the implementation notes and evaluation of the test results. The test results demonstrate that there is only an average processing cost of 180.14/191.35, 213.96/257.41, 157.56/170.68, and 235.48/ 249.49 μs for encrypting the total encrypted combined packets/total encrypted separate packets using IDEA, DES, AES-GCM, and AES-CTR encryption algorithms, respectively, with a 256-bit key space. This is significantly lower than the tolerable transmission delay (150 ms) defined by the ITU-T.

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