Browsing by Author "Jayasekara, S"

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An Automated System for Estimating GSM Value of Fabrics using Beta Particle Absorption Characteristics
(IEEE, 2021-11-22) Dias, S; Sandaruwan, K. G. D; Jayasekara, S
Grams per square meter (GSM) or Grammage is an ISO-recommended term to express the mass per unit area of papers, metal sheets, plastic-made products, and fabric materials. GSM tests are widely used in the textile industry to measure GSM of knitted fabrics, and to ensure quality and other standard fabrics' specifications. Meanwhile, most textile organizations prefer the manual GSM measuring procedure, which leads to many disadvantages, including fabric wastage. An automated non-contact type fabric Grammage measuring method is proposed as an alternative solution for this industrial issue. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over the goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99, and lower Root Mean Square Error (RMSE) Values. Error percentages obtained during the validation of these mathematical models are less than 1% for all fabric types.
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Optimum sizing and tracking of combined cooling heating and power systems for bulk energy consumers
(Elsevier, 2014-04-01) Jayasekara, S; Halgamuge, Saman K; Attalage, R. A; Rajarathne, R
The optimization of combined cooling heating and power (CCHP) systems involves two major tasks: searching for optimum design parameters and for optimum regular operation variables. This paper proposes a two-stage method to solve both tasks. The operation of large thermal power plants must be altered smoothly, as quick changes in system settings may result in cascade tripping of subsystems, ultimately leading to a complete shutdown. This work uses graphical representation of the operational space of the system, which helps in tracking the operation along its optimum trajectory smoothly. The daily energy demands of a five star hotel, collected over a year, were used to demonstrate the applicability of the proposed method. Using the proposed method reduced the total annual cost over 7% and 13% in Australia and Sri Lanka respectively, compared to the conventional method of following thermal load.
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Reviewing the Economics of Using LPG Vs. Electricity for Household Cooking in Sri Lanka
(IEEE, 2020-11-16) Jayasekara, S; Fernando, Y. S
Cooking is an essential activity in the households in Sri Lanka. Sri Lankan households utilize several types of fuel to produce heat for their daily cooking needs. The most commonly used energy sources are Liquid Petroleum Gas (LPG) and Electricity. Therefore, it is essential to investigate the economic aspects of using each of these energy sources. This research aims to use existing data on several cooking appliances along with LPG and Electricity charges in Sri Lanka to calculate the costs of using each of the energy sources. With the total monthly cost of LPG at Rs.560/= and Electricity at Rs.1150/= as of March 2020, this study suggests that LPG is the most suitable energy source for cooking in Sri Lankan households.
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Tamper Proof Smart Energy Metering System with Power Factor Correction and Surge Protection
(IEEE, 2022-10-28) Sandarenu, E.A.P.; Jayasekara, S; Jathunga, T. G
Currently, Sri Lankan electricity suppliers have adapted a postpaid tariff system, in which the consumers with a contract demand equal to or less than 42 kVA are only charged for the active power consumption. This tariff method has several disadvantages for both consumers and electrical suppliers in many ways. Lower power factors, Electricity theft, tampered meters, avoided bill payments, and manual meter reading procedures have caused considerable losses for the electricity suppliers. Similarly, consumers are also discomforted by the postpaid nature of this tariff method since it has caused long queues in the bill payment locations. To overcome above problems, this paper presents a smart energy meter with automated billing capabilities, power factor correction, and tamper protection. This meter is currently intended only for single-phase consumers, in which consumers are allowed to choose the payment method from prepaid or postpaid according to their preference.
Open Access
Unpacking how the Living Arrangements of Undergraduates Influence Quality of Life
(School of Psychology. Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Bandara, K; Abeysekara, M; Vihangi, S; Perera, S; Jayasekara, S; Samaratunge, T; Goonetilleke, N
This study examined the connection between undergraduate students' living arrangements (private vs rented accommodation) and their Quality of Life (QoL) at the Sri Lanka Institute of Information Technology (SLIIT). All four domains of quality of life, psychological well-being, physical health, environmental factors, and social relationships were measured using an adapted version of the World Health Organisation Quality of Life: Brief Version (WHOQOL-BREF). The cross-sectional studyincluded a sample of 64 individuals obtained from the campus premises between the ages of 18-25. Multivariate Analysis of Variance (MANOVA) revealed no statistically significant differences in QoL dimensions based on accommodation type. However, the effect sizes indicate living arrangements to be a better predictor of the environmental factors as opposed to other domains of QoL. Furthermore, a chi-square test yielded a strong association between the year of study and living arrangements among students, suggesting that the year of study may have an impact on students’ choice of accommodation. These results further demonstrate the diversity of QoL and imply that, although environmental influences are worthy of consideration, living arrangements might not be a strong factor to explain students’ well-being. While the nature of the sample (i.e., small and convenient) may have hindered the statistical significance of the study, the present findings highlight the necessity for subsequent studies to accurately uncover the impact of student life, accommodation, and other related factors onthe quality of life.