SLIIT International Conference on Advancements in Science and Humanities [SICASH]
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SLIIT International Conference on Advancements in Science and Humanities is organized by the Faculty of Humanities and Sciences of the Sri Lanka Institute of Information Technology (SLIIT), the annual research multi-conference of the faculty.
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Publication Open Access Event Detection and Latency Analysis in High Frequency Trading Dashboards(Department of Mathematics and Statistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) de Silva, U; Perera, S; Liyanage, U.P; Erandi, HHigh frequency trading relies on millisecond-level decisions, where profitability is strongly influenced by both market responsiveness and system latency. Traditional dashboards offer real-time visualizations but fall short in detecting abrupt regime shifts or quantifying latency. This study presents an AI-aided Market Pulse and Latency Panel that integrates candlestick pattern recognition, change point detection and latency measurement into a unified dashboard. The system detects technical patterns, identifies structural market shifts, and quantifies infrastructural bottlenecks. Experimental results demonstrate that the panel enhances situational awareness by combining event detection with latency analytics, providing traders with actionable insights for strategy adjustment and infrastructural optimization.Publication 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, NThis 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.