Recent Submissions
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, A
In 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.
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, A
The 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.
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.
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, Y
Early 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.
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.
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The collection comprises the research output of SLIIT staff and postgraduate research students, including research publications, conference and symposium papers, books, book chapters, theses, and other scholarly materials. Access to full texts may be restricted depending on the access and licensing terms.