Faculty of Engineering: Recent submissions

Now showing items 81-100 of 552

A New Generation of Fast and Low-Memory Smart Digital/Geometrical Beamforming MIMO Antenna

Pirapaharan, K.; Prabhashana, W.H.S.; Pramuka Medaranga, S.P.; Hoole, P.R.P.; Fernando, X. (MDPI, 2023)

Smart multiple-input multiple-output (MIMO) antennas with advanced signal processing algorithms are necessary in future wireless networks, such as 6G and beyond, for accurate space division multiplexing and beamforming. ...
Automatic Fan Speed Controlled Laptop Cooling Pad System using Microcontroller

Indushan, S.; Ishara, M.; Buddhika, N. (IET Young Professionals' Technical Conference 2023 (IET YPTC), 2023)

A human way of life increasingly relies on automatic controls. The development of control techniques that boost system performance is the main goal of the large field of automatic control technology. The elimination ...
Smart, Fast, and Low Memory Beam-Steering Antenna Configurations for 5G and Future Wireless Systems

Pirapaharan, K.; Ajithkumar, N.; Sarujan, K.; Fernando, X.; Hoole, P.R.P. (MDPI, 2022)

Smart Antennas are important to provide mobility support for many enhanced 5G and future wireless applications and services, such as energy harvesting, virtual reality, Voice over 5G (Vo5G), connected vehicles, ...
Microgrid Energy Management and Methods for Managing Forecast Uncertainties

Vinothine, S.; Widanagama Arachchige, L.N.; Rajapakse, A. D.; Roshani, K. (MDPI, 2022)

The rising demand for electricity, economic benefits, and environmental pressures related to the use of fossil fuels are driving electricity generation mostly from renewable energy sources. One of the main challenges in ...
Hydrogen Effect on the Mobility of Edge Dislocation in α-Iron: A Long-Timescale Molecular Dynamics Simulation

Ryosuke, M.; Sunday, T.O.; Mugilgeethan, V.; Shinya, T. (ISIJ International, Vol. 62 (2022), No. 11, pp. 2402–2409, 2022)

Explaining the hydrogen effect on dislocation mobility is crucial to revealing the mechanisms of hydrogen-related fracture phenomena. According to the general perspective, reducing the speed of dislocation can give enough ...
Traffic Occupancy Prediction Using a Nonlinear Autoregressive Exogenous Neural Network

Khaleel, N.I.; Anuraj, U.; Hartley, J. (Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 2022)

The main aim of intelligent transportation systems is the ability to accurately predict traffic characteristics like traffic occupancy, speed, flow, and accident based on historic and real-time data collected by these ...
Overlapped Speech Detection for Improved Speaker Diarization on Tamil Dataset

Jarashanth, S.T.; Ahilan, K.; Valluvan, R.; Thiruvaran, T.; Kaneswaran, A. (IEEE, 2022)

Speaker diarization is the task of partitioning a speech signal into homogeneous segments corresponding to speaker identities. We introduce a Tamil test dataset, considering that the existing literature on speaker ...
Evaluating Deep Neural Network-based Speaker Verification Systems on Sinhala and Tamil Datasets

Anuraj, S.P.D.; Jarashanth, S.T.; Ahilan, K.; Valluvan, R.; Thiruvaran, T.; Kaneswaran, A. (IEEE, 2022)

Speaker verification, a biometric identifier, determines whether an input speech belongs to the claimed identity. The existing models for speaker verification have reported performances mainly in English, and no study ...
Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data

Pratheeba, J. (Elsevier, 2022)

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is identified as a highly transmissible coronavirus which threatens the world with this deadly pandemic. WHO reported that it spreads through contact, droplet, ...
Feasibility of Waste Calicut Tiles as Aggregates in Structural Concrete

Jayasekara, D.A.B.P.M.; Jayathilaka, S.T.N.; Somarathna, H.M.C.C (University of Jaffna, 2022)

This study is intended to investigate the feasibility of using Calicut Tile Aggregates (CTA) sourced from industrial waste and construction and demolition waste as a replacement for Natural Aggregates (NA) use in the ...
Flexural Behaviour of Waste-based Natural Fibre Reinforced Composite from Palmyra Fibre and Waste Polythene

Wijesena, P.C.M.; Karunarathna, D.M.S.M.; Somarathna, H.M.C.C (University of Jaffna, 2022)

In recent years researchers are focusing on manufacturing new products by using wastes as raw materials. Among them, the products which are developed using natural fibre wastes have gained substantial attention due ...
Feasibility of Cement Mortar System with Industrial Metal Fibre Waste

Perera, K.D.Y.G.; Ahamed, Y. L. F.; Somarathna, H.M.C.C (University of Jaffna, 2022)

The traditional cement mortar has limited characteristics. Because of the lack of expected results, the engineering scope has focused on alternative materials instead of using the traditional constituents. As a result ...
Comparative Study of the Wind Codes: An Application to Forty-Six Storied Wall-Frame Structure

Kiriparan, B.; Jayasinghe, J.A.S.C.; Dissanayake, U.I. (The Institution of Engineers, Sri Lanka, 2022)

Wind is a random movement of air particles in both time and space, which produces very complicated dynamic loading scenario on flexible structures like tall buildings. Modern tall buildings are becoming more slender, ...
Iron removal from groundwater using granular activated carbon filters by oxidation coupled with the adsorption process

Thinojah, T.; Ketheesan, B. (Journal of Water and Climate Change Vol 13 No 5, 1985 doi: 10.2166/wcc.2022.126, 2022)

Granular activated carbon (GAC) is commonly used as an adsorbent for the removal of organic micropollutants. However, little is known about the inorganic pollutant removal using GAC. In this study, GAC was examined for ...
Community-based water governance for adaptation to water reduction and scarcity in Badulla district of Sri Lanka

Daluwatte, D.D.S.; Sivakumar, S. (Journal of Water and Climate Change Vol 13 No 2, 451 doi: 10.2166/wcc.2021.382, 2022)

Sustainable Development Goal number 6 declares safe drinking water for all as a human right and it can be used as an indicator to measure development. While urban and municipal residents benefit from safe drinking water ...
Time Series Analysis of Rainfall Using Seasonal ARIMA (SARIMA) and Sama Circular Model (SCM): Study from Vadamaradchi, Jaffna, Sri Lanka

Sellathurai, T.; Sivananthawerl, T.; Sivakumar, S.S.; Mikunthan, T.; Karunainathan, T. (University of Peradeniya, 2022)

The time series analysis was performed with Seasonal Autoregressive Integrated Moving Average (SARIMA) and Sama circular model (SCM) for the rainfall of Ampan, Karaveddi, and Puloly regions of Jaffna to understand the ...
Effect of Ordinary Portland Cement (OPC) and Blended Hydraulic Cement (BHC) on the Behaviour of Self-Compacting Concrete

Deshabandu, D.S.; Ariyarathne, K. C.; Athapaththu, M.A.A.D.O.; Janarthanan, B. (The Institution of Engineers, Sri Lanka, 2022)

Self-compacting concrete (SCC) is a special type of concrete that flows under its own weight while enhancing the compressive strength and durability compared to conventional concrete. This is an effort to present the ...
Investigation of boundary layer impact on pervious concrete

Sajeevan, M.; Daniel Niruban, S. (Taylor & Francis Group, 2023)

Industrial application of pervious concrete (PC) is limited by uncertainty in assessing performancecharacteristics in design phase. Compaction increases uniformity of characteristics in mass production.Spatial distribution ...
Comparative study of fly ash and rice husk ash as cement replacement in pervious concrete: mechanical characteristics and sustainability analysis

Daniel Niruban, S.; Sathiparan, N. (Taylor & Francis Group, 2023)

Pervious concrete is a special type of concrete consisting of cement, coarse aggregate and water. Cementis a widely used raw material for construction including pervious concrete and had led to the release ofhuge amounts ...
Influence of aggregate gradation and compaction on compressive strength and porosity characteristics of pervious concrete

Anburuvel, A.; Daniel Niruban, S. (Taylor & Francis Group, 2022)

This study examined the influence of aggregate gradation on compressive strength and porosity in Pervious Concrete (PC) subjected to various compaction efforts. Two aggregate gradations 12–18 and 18–25 mm were recombined ...

Now showing items 81-100 of 552

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