SLIIT Conference and Symposium Proceedings

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All SLIIT faculties annually conduct international conferences and symposiums. Publications from these events are included in this collection.

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Author: search.filters.author.Rathnayake, N

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    PublicationOpen Access
    Solar Hotspot Detection Using VHDL-Simulated Fixed-Point SVM: A Methodology Toward FPGA Realization Solar Hotspot Detection via FPGASVM
    (Faculty of Engineering, 2025-09-09) Fernando, N; Seneviratne, L; Weerasinghe, N; Rathnayake, N; Hoshino, Y
    The early and accurate detection of thermal hotspots in photovoltaic modules is critical to ensure the efficiency, safety, and longevity of solar power systems. This study presents a complete end-to-end methodology for implementing a fixed-point Medium Gaussian Support Vector Machine classifier using Very High-Speed Integrated Circuit - Hardware Description Language, optimized for Field Programmable Logic Array. The approach begins with feature extraction from thermal images, focusing on MPEG-7 descriptors and blue chrominance. The SVM model is trained in MATLAB and converted into a fixed-point Q1.15 format for hardware compatibility. Key parameters, including support vectors, Lagrange multipliers, bias, and kernel scale, are extracted and verified in a custom Python environment to ensure numerical alignment with MATLAB results. The validated model is then implemented in synthesizable VHDL and verified using GHDL and GNU Tool Kit waveform viewer, confirming bit-accurate hardware behavior. Results show classification accuracy exceeding 99.3% with negligible performance loss due to quantization. The design achieves deterministic latency based on FSM structure and parallel feature processing, completing classification within 2702 clock cycles for a 300-support-vector, 222-feature system. Unlike floating-point models, this approach enables low-power, real-time inference on edge platforms such as drones.
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    PublicationOpen Access
    Institutional Best Practices Amidst and Beyond the COVID-19: The Case of Higher Educational Institutes in Sri Lanka
    (SLIIT Business School, 2023-12-24) Rathnayake, N; Weerasinghe, A; Weerasinghe, N; Kumarasinghe, J
    COVID-19 is a blessing for the higher education industry in developing nations since it has accelerated the digitization of higher education. Education is essential to transforming people into human capital. The COVID-19 restrictions on physically entering educational institutions gave boost to the biggest educational disaster in the world. The objective of this study is to investigate the best practices employed by the Higher Education Institutions (HEIs) in Sri Lanka to enhance university academic role both amid and beyond the pandemic. The technique of nonprobability purposive sampling was employed, and the results were then analyzed thematically. Best practices in academic research and knowledge dissemination fields, and teaching have been recognized by the study from the viewpoint of the HEIs. Beyond the pandemic, virtual laboratories, concurrent delivery, and hybrid deliveries are still in use, while academic research and knowledge dissemination are being digitalized and exposed to a global audience. The shift from traditional classrooms to the distance learning environment in developing nations has accelerated the process of meeting the sustainable development objective of high-quality education by 2030. As a result, policymakers in these nations can emphasize digitally enabling the higher education sector.
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    PublicationOpen Access
    Factors Affecting Hybrid Learning Methods (Case study in One of the Leading Private Higher Education Institutes in Sri Lanka)
    (Emerald Publishing, 2022-12-01) Rathnayake, N; Jayasinghe, P; Dias, C; Jayamalki, A; Wickramasinghe, P; Sivaguru, R
    Hybrid Learning (HL) become a major part of the learning style for the higher education sector in the Sri Lankan context. Hybrid learning allows for a part of the students to go to the course physically and simultaneously permitted the rest to connect the sessions utilizing video conferencing from different locations. The objective of this research study is to discover the factors affecting hybrid learning to enhance student outcome in the business faculty of one of the leading private higher education institutes in Sri Lanka. The researchers extracted the variables that affected the hybrid learners from the previous studies that investigated hybrid learning concepts. The purpose of the study was to assess the factors affecting for hybrid learning experience. The data for the study was gathered through 12 semi-structured interviews and the data were analysed by using thematic analysis. The results show that the factors affecting hybrid learning are somewhat higher than traditional techniques from the perspective of the students. In addition, based on the thematic analysis researchers have identified themes such as: learner attitudes, interactions, obstacles, and benefits of HL. Researchers determined the factors affecting hybrid learning in students' perceptions. The output of this study was helpful to recognize how students perceive the factors affecting Hybrid Learning with these significant themes in one of the leading private higher education institutes.