Browsing by Author "Hettiarachchi, A"

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Embargo
Automated Location Scouting and Production Planning for Movie Industry in Sri Lanka using scripts written in Natural Language
(IEEE, 2021-04-02) Perera, V; Lakshan, N; Hettiarachchi, A; Himantha, K; Gamage, M. P. A. W; Thelijjagoda, S
The film industry in Sri Lanka has grown into a multi-billion-dollar industry. However, it has not reached its fullest potential yet. This is due to the insufficient number of films produced locally. One of the major causes for a film to fail is the low attention given for production planning. Planning should take place with the commencement of the Preproduction state. This should include the entire process from scriptwriting to final ticket issuing. The pre-production state that determines the success or failure of the film consists of the critical processes that will be required to execute the production state. Place Scouting is one of the main processes in a production plan. Since the film industry focuses primarily on the esthetic enjoyment of people in society, scenic beauty is a must when choosing locations for a film. “Film-It” is developed to provide all-around assistance in Location Scouting and Resource Planning in the Pre-Production State of a movie. With the aid of this application, key players in the film industry will be able to save their time, effort and money spend on Preproduction preparation. Key stakeholders in the film industry have confirmed that this application would carry the Sri Lankan film industry to a whole new level.
Open Access
Construction and Validation of Academic Stress Scale for 18-35-year-old Sri Lankan University Students
(Faculty of Humanities and Sciences, SLIIT, 2023-11-01) Ponnamperuma, L; Hettiarachchi, A; Jayakodi, P; Abeysinghe, N
This article describes the development and initial validation of a new instrument to measure the academic stress of university students in Sri Lanka. A 16-item scale was developed by reviewing the literature and conducting interviews. Surveys were conducted with 726 Sri Lankan undergraduate students, and Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to analyse the data. The Principal Component Analysis (PCA) with Oblimin rotation produced a two-component model of the Academic Stress Scale: (1) Stress due to lack of sufficient knowledge and (2) stress due to interpersonal relationships, which together explains 59% of the total item variance. The ASS is a reliable and valid instrument for measuring academic stress. A CFA suggested that the proposed factor model fits moderately well. Therefore, for researchers who have a particular interest in academic stress among Sri Lankan students, the ASS promises to be a helpful tool.
Embargo
Fidelity-Driven Physically Constrained Adaptive Code Distance for Surface Codes under Biased Circuit-Level Noise
(Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Hettiarachchi, A; Dissanayaka, K
Surface codes are leading candidates for fault-tolerant quantum computing, but conventional implementations use fixed code distances that result in conservative resource allocation during varying noise conditions. We propose a physically-constrained, fidelity-driven adaptive surface code framework that dynamically adjusts code distance at scheduled intervals to maintain target logical fidelity while minimizing resource overhead. Our approach introduces a syndrome-based logical error rate estimation algorithm using rolling-window statistics, a scheduled adaptation policy operating within pre-allocated qubit pools, and detailed modeling of adaptation latency and reconfiguration-induced errors for superconducting qubit devices. Through large-scale Monte Carlo simulations under realistic biased circuit-level noise, we demonstrate that hardware-constrained adaptive codes achieve 43-62% success rate improvements over fixed-distance strategies, reaching 72-82% success rates compared to 5̃0% for fixed approaches. Oracle adaptive strategies with perfect error knowledge achieve 91-94% success rates, indicating substantial theoretical potential. Our results show that adaptive surface codes provide significant performance improvements even under realistic hardware constraints, with oracle strategies consuming only 37% of maximum resources while achieving 86% higher success rates for shorter circuits.