SLIIT Journal Publications
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Item Open Access An Examination of the offence of “Non-Consensual Pornography”: In search of an Effective Law(Faculty of Humanities and Sciences, SLIIT, 2025-05-30) Jayamaha, S; Harasgama, K.This paper conducts a comprehensive analysis of revenge porn legislation, focusing on essential components such as actus reus and mens rea of the offence, platform liability, victim protection, and the remedies and penalties available. Non-consensual pornography, commonly referred to as “revenge porn,” has experienced a concerning increase across multiple jurisdictions, resulting in significant and often catastrophic consequences for its victims. The study examines the laws of the United States, the United Kingdom, Singapore, India, and Sri Lanka, revealing both similarities and differences in their approaches. Although the actus reus component of these legal frameworks demonstrates a certain level of consistency, notable differences arise concerning the mens rea requirement. Jurisdictions like the UK and US demonstrate restricted scopes, a limitation further exacerbated in the US by the granting of special immunities to Internet Service Providers (ISPs) and website/platform hosts. The paper underscores the necessity of implementing a comprehensive dual strategy that includes both civil remedies and criminal legislation to effectively combat NCP. This paper seeks to offer a comprehensive analysis of the most effective legal strategy concerning the key components identified, against the backdrop of prevalent challenges arising from the intrinsic characteristics of NCP in the digital era.Item Open Access The Impact of Samurdhi Bank’s Microloans on the Economic Stability of Households in Padukka Divisional Secretariat(Faculty of Humanities and Sciences, SLIIT, 2025-05-27) GJayasooriya, N. D. H. D.; Thathsarani, U. S.An important aspect of sustainable national development is household financial stability. The accessibility of financial services remains a problem for low-income households in Sri Lanka. This paper aims to analyze the effect of microfinance initiatives on the economic stability of low-income families within the Padukka Divisional Secretariat division in Sri Lanka, specifically their contribution to enhancing income, consumption stability, and economic shock resilience. A structured questionnaire was chosen to acquire data from a random sample of 150 microfinance beneficiaries. The data were analyzed through using partial least squares Structural Equation Modeling (PLS-SEM). The findings indicate that microfinance has a large positive effect on household income and level of savings, and also leads to improved management of consumption needs and alleviation of financial vulnerability. In addition, households that had been involved in the microfinance program longer had better financial literacy and investment in productive assets. Nevertheless, issues like high interest rates and a lack of financial training diminish the benefits that are likely to be realized by certain borrowers. Importantly, the study found that while productive loan utilization significantly improves economic stability, larger loan amounts were associated with reduced stability, suggesting a risk of over-indebtedness. Overall, the results indicate that microfinance is effective in enhancing the financial stability of low-income earners in Sri Lanka, and the government should initiate policy options like offering financial literacy education, decreasing the interest rate burden, and providing other support services in order to optimize the sustainability of microfinance in the long term.Item Open Access Between Absence and Dreams: A Phenomenological Study on the Experiences of Malaiyaha Tamil Children with Migrant Mothers(Faculty of Humanities and Sciences, SLIIT, 2025-05-27) Wathna, S; Mahaliyanage, E; Senarath, K; Rajapaksha, S; Sethini, R; Kodikara, V; Subasinghe, V; Selvaratnam, N.D; Ponnamperuma, LMaternal labor migration has become a significant socioeconomic strategy among structurally marginalized communities in Sri Lanka, particularly within the Malaiyaha Tamil estate sector. While existing research has largely focused on economic and educational outcomes, there remains limited understanding of children’s lived experiences within these contexts. This study aimed to explore how Malaiyaha Tamil children make sense of their mothers’ migration for overseas employment. A qualitative design informed by Interpretative Phenomenological Analysis (IPA) was employed. Semi-structured interviews were conducted with adolescents aged 12-17 years residing in plantation communities. Data were analyzed ideographically before identifying shared experiential patterns across cases. The analysis generated three interrelated superordinate themes: (1) mother as emotional anchor and “absent presence,” (2) childhood reassigned through role reorganization and educational vulnerability, and (3)living between longing and aspiration within structural constraint. Findings indicate that maternalmigration is experienced as a relational paradox, where financial provision coexists with emotionaldisruption. Children described ambivalent attachment experiences, shifting family roles, and variededucational engagement shaped by available support systems. Despite these challenges, participantsarticulated future aspirations that reflected resilience within structurally constrained environments.Drawing on Attachment Theory, Ecological Systems Theory, and Ambiguous Loss Theory, the studyconceptualizes maternal migration as a relational and ecological process rather than a singular economicevent. The findings highlight the coexistence of vulnerability and agency and underscore the importanceof context-sensitive interventions for children in migration-affected communities.Item Open Access Perceived Impacts of Artificial Intelligence on Academic Integrity in Higher Education in Sri Lanka: Perceptions of Teachers and Learners(Faculty of Humanities and Sciences, SLIIT, 2025-05-25) Wijayasiri, K. D. S.NThis study investigates perceived impacts of artificial intelligence (AI) on academic integrity in Sri Lankan higher education from the perspectives of both teachers and learners. Employing a mixedmethods explanatory sequential design, quantitative survey data from 350 participants across six universities were complemented by qualitative semi-structured interviews and focus group discussions. The study examined AI awareness, perceived usefulness, perceived risk, and academic integrity attitudes. Findings indicate that AI awareness and perceived risk positively predict academic integrity, while perceived usefulness exerts a negative influence when AI is viewed as a means to shortcut academic effort. Qualitative themes revealed concerns about plagiarism, originality, assessment credibility, and insufficient institutional support, alongside recognition of AI’s potential for enhancing learning efficiency and language support. The study calls for explicit institutional policies, ethical AI leadership, AI literacy integration, and assessment redesign in Sri Lankan higher education.Publication Open Access Highly Efficient 3D Object Transmission System for HTC Services in 6G Networks(Faculty of Engineering, 2026-03) Svechnikov, D; Volkov, A; Marochkina,A; Muthanna, A; Kouhceryavy, AIn recent years, advancements in technology have brought forth a new frontier in visual communication. Holography is a technique that captures and reproduces three-dimensional (3D) images with an unprecedented level of realism and depth, has emerged as a groundbreaking method for conveying visual information. Unlike traditional images and videos, holography recreates scenes with full parallax, enabling viewers to perceive objects from various angles. The transmission of holographic images presents both exciting possibilities and unique challenges. To this end, this article conducts a comparative analysis of a previously developed application system for transmitting dynamic 3D human movements with a ready-made solution for transmitting 2D video streams in order to provide conference calling services. The network characteristics of the systems were collected and compared. The opportunities that programs currently provide and will provide in the future are examined.Publication Open Access Task Scheduling Problem in Fog Computing Environment with improved Memetic algorithm(Faculty of Engineering, 2026-03) Thang, D.V; Artem, V; Muthanna, A; Vorozheikina, O; Koucheryavy, AThe task scheduling problem in fog computing is one of the key challenges in the development of fog computing within next-generation communication networks. Addressing this challenge requires balancing processing performance with resource constraints while meeting network conditions. Given the distributed and heterogeneous nature, as well as the dynamic topology, optimally allocating tasks to fog nodes is a complex issue. To contribute to solving this problem, we propose a task scheduling method based on an improved Memetic algorithm. The proposed method leverages the strengths of evolutionary algorithms and local search, while incorporating a task restructuring mechanism, to enhance allocation efficiency and task processing in the fog computing environment. Simulation experiments demonstrate that the proposed method outperforms genetic algorithms, Round-Robin, Greedy methods, and the Ant Colony Optimization algorithm in terms of efficiency. This study provides a fresh, simpler approach that aligns with network conditions while still achieving the desired performance.Publication Open Access Analysis of Thermal Performance of Shell and Tube Heat Exchangers: A Correlation and CFD Based Approach(Faculty of Engineering, 2026-03) Ushettige, S.A.P; Wimalsiri, W.K.; Hikkaduwa,H.G.S.Shell and tube heat exchangers are devices which are widely adopted in thermal systems for the transfer of thermal energy due to both performance and reliability factors. Given their application in energy-intensive systems, the design and sizing of these devices have become a rapidly growing field. Traditionally, empirical correlations which were based on experimental results were used for thermal sizing and design. This was replaced by computational fluid dynamics (CFD) modelling given its ability to model and visualize flow, expanding the horizon of possibilities for design and performance optimization. Recently, CFD has been combined with numerical methods such as non-linear leastsquares regression to develop correlations that predict thermal performance based on input design parameters. However, the application of this integrated method for shell and tube heat exchangers is limited. This study will model a single-pass TEMA E-type shell and tube heat exchanger using ANSYS Fluent ®. CFD simulations are used to explore the effect of turbulence on thermal performance by varying both the inlet mass flow rate and the central baffle spacing. Steady state simulations are conducted for four models with six, eight, ten, and twelve baffles. The results of CFD modelling are then combined with non-linear least squares regression in the MATLAB Curve Fitter Toolbox ® to develop four sets of correlations in the form of 𝑁𝑢 = 𝐶. 𝑅𝑒𝑎. 𝑃𝑟𝑏 . Reasonably confident results were obtained in the final fitted data; however, relatively high 95% confidence interval widths were evident for certain fitted coefficients leaving space for improvement in the model. The study highlights that combining CFD with tools such as nonlinear least squares regression aids both engineers and designers in the thermal design process of shell and tube heat exchangers eliminating the need to limit design based on empirical correlations.Publication Open Access Solar Hotspot Detection Using VHDL-Simulated Fixed-Point SVM: A Methodology Toward FPGA Realization(Faculty of Engineering, 2026-03) Fernando, N; Seneviratne, L; Weerasinghe, N; Rathnayake, N; Hoshino, YEarly detection of thermal hotspots in photovoltaic modules is critical to ensuring their efficiency, safety, and longevity. This study presents a complete end-to-end methodology for implementing a fixedpoint Medium Gaussian Support Vector Machine classifier using VHDL for a Field Programmable Logic Array. The approach begins with feature extraction from thermal images of healthy and defective solar panels, which focuses on MPEG-7 descriptors. The study shows that high impact for hotspot detection comes from blue chrominance contrast. A medium Gaussian SVM model is trained in MATLAB and converted to 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. It is verified using GHDL and the GNU Tool Kit waveform viewer, confirming bit-accurate hardware behaviour. Results show classification accuracy exceeding 99.3% with negligible performance loss due to quantization. The design achieves deterministic latency through an FSM-based structure and parallel feature processing for a 300-support vector and 222-feature system. This method enables low-power, real-time inference on a UAV-based edge platform, primarily focusing on drones.Publication Open Access Circular Economy Practices in Road Rehabilitation and Development in Sri Lanka(Faculty of Engineering, 2026-03) De Alwis, L. M.; Gunarathna, K A N; Kalugala, C.The integration of Circular Economy principles into road rehabilitation and development offers a sustainable alternative to traditional linear construction practices. In Sri Lanka, where road infrastructure is crucial to economic growth and connectivity, the Circular Economy offers opportunities to reduce reliance on virgin materials, minimise environmental impact, and enhance longterm cost efficiency. This study explored applicable Circular Economy strategies, assessed current implementation practices, identified key challenges, and proposed viable solutions to support Circular Economy adoption in the Sri Lankan Road sector. A mixed-methods approach was employed, combining a comprehensive literature review with data from semi-structured expert interviews and a questionnaire survey of construction professionals. The findings indicate that while awareness of the Circular Economy is growing, its practical application remains limited due to barriers such as the absence of standardized technical guidelines, insufficient government incentives, limited stakeholder knowledge, logistical challenges in material sourcing and storage, and reluctance to shift from traditional methods. Data also highlights substantial potential benefits, including cost savings, reduced construction waste, increased material efficiency, and environmental improvements. Participants emphasized the importance of pilot projects, training programs, and policy support in promoting Circular Economy practices. To overcome existing barriers, the study recommends the development of clear Circular Economy specifications, financial incentives, capacity-building initiatives, and the establishment of centralized recycling infrastructure. These strategic actions can facilitate the transition toward a more circular and sustainable approach in Sri Lanka’s Road construction and maintenance sectors.Publication Open Access Macaranga peltata Leaf Extract Mediated Green Synthesis of Iron Nanoparticles and Their Application in Organic Dye Removal(Faculty of Engineering, 2026-03) Dissanayake D.M.K.N.; Perera M.A.D; Karunaratne M.S.A; Pahalagedara M.NThis study presents an eco-friendly method for synthesizing iron nanoparticles (FeNPs) using Macaranga peltata leaf extract, and evaluate their potential for degrading the organic dye methyl orange (MO). The synthesis exploits phytochemicals in the leaf extract as natural reducing and stabilizing agents. The synthesized FeNPs were characterized using UV-Vis spectroscopy, FTIR, XRD, and SEM, confirming amorphous structure and particle sizes ranging from 34–94 nm. Catalytic activity was evaluated via MO degradation experiments, achieving 85.16% efficiency within 200 minutes. The study demonstrates a sustainable wastewater treatment solution using green nanotechnology.