SLIIT Conference and Symposium Proceedings

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All SLIIT faculties annually conduct international conferences and symposiums. Publications from these events are included in this collection.

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Open Access
A Comparative Study on Narrative Techniques in the Novel Deutschstunde and its 2019 Film Adaptation
(Department of Linguistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Bandara, S.I; Wijewardhana, S; Sandaruwan, L.G.S.U.
The adaptation of literary works into films presents unique challenges and opportunities in translating narrative techniques across media. This study provides a comparative analysis of narrative techniques employed in Siegfried Lenz’s novel Deutschstunde and its 2019 film adaptation directed by Christian Schwochow. It explores the complexities of transforming a thematically dense literary narrative into the visual and auditory medium of film. The primary research problem addressed is the extent to whichnarrative strategies in Lenz’s novel Deutschstunde differ from its 2019 adaptation. The methodology consists of a qualitative comparative approach incorporating close reading of the novel and detailed frmal analysis of the film. Central narrative aspects focused on are focalisation, temporal structure, character representation, and the presentation of symbolic motifs. Results indicate that while the film effectively utilises cinematic techniques to depict the oppressive setting and Siggi Jepsen’s inner turmoil, it alters the pervasive frame narrative and extensive interior monologue utilised in the novel, subtly shifting the portrayal of the protagonist’s inner journey and the engagement of the audience with memory. This comparative analysis elucidates the adaptive processes, the impact of different media on narrative delivery, and the continuing relevance of Deutschstunde to adaptation studies.
Open Access
A Comprehensive Review of Most Influential Risk Factors for Dementia among Elderly People in Asian Countries
(School of Nursing, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Ranaweera, G; Dasanayake, C; Kanchana, T
Dementia is characterised by a group of symptoms that are typically defined by memory loss, behavioural changes, and the subsequent loss of cognitive and social functioning caused by progressive neurological disorders. It represents one of the greatest global challenges for health and social care in the 21st century. This review aimed to identify the most influential risk factors for dementia among elderly populations in Asian countries.
Open Access
A Machine Learning Approach to Actuarial Life Table Estimation in Lung Cancer Patients
(Department of Mathematics and Statistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Tharushika, D. D. H.; Napagoda, N. A. D. N.
Cancer-related mortalities worldwide are most caused by lung cancer, and one of the major causes of passing worldwide is still cancer. A dangerous disease is lung cancer, which requires accurate survival modelling to assist in actuarial evaluations, public health planning, and clinical decisions. Life expectancy and mortality risk across age groups are calculated using essential tools such as actuarial life tables, but complex real-world data is frequently struggled with by traditional methods. Actuarial life tables for patients with lung cancer are created using a data set of more than 500,000 patient records with 15 key variables from 2014 to 2024 across European countries, employing Extreme Gradient Boost Accelerated Failure Time (XGBoost AFT) based survival analysis. The main objective is to develop agespecific mortality rates and life expectancy for patients with lung cancer. In contrast to earlier research that was reliant on traditional models, the nonlinear learning capabilities of XGBoost AFT models areutilized in this study to allow for more accurate estimation of mortality trends. A data-driven, machine learning approach to actuarial life table development is contributed by this study, with information about lung cancer survival patterns being provided. The understanding of survival trends, treatment planning, efficient use of healthcare resources, and assessment of the results of initiatives is aided by physicians, researchers, and policymakers. Public health initiatives focused on early identification and prevention are also guided, as well as future healthcare requirements being forecast.
Open Access
A Novel Hypermatrix Product and its Application to Multilinear Mappings
(Department of Mathematics and Statistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Senevirathne, S. S. M. A. C.; Athapattu, A. M. C. U. M.; Chathuranga, K. M. N. M.
Matrix theory provides a well-established algebraic framework for working with linear maps, in which matrix multiplication replaces the composition of linear transformations. However, there is no canonical multiplication rule for hypermatrices that leads to multilinear maps, partly because multilinear maps are not closed under composition. To address this gap, this research introduces a novel (restricted) hypermatrix multiplication based on the Frobenius inner product. We start byshowing that every multilinear map 𝑓: 𝑉1 × 𝑉2 × … × 𝑉𝑛 → 𝑉0 gives a hypermatrix representation 𝒜 and defining a contraction operation, which computes 𝑓(𝑣1, 𝑣2, … , 𝑣𝑛 ) through Frobenius inner products between 𝒜 and matrices derived from input vectors. This operation allows for the efficient computation of the hypermatrix of an arbitrary multilinear map. This work provides constructive proofs and detailed numerical examples.
Open Access
A Participatory Approach to Developing Adolescent Support Groups Focusing on Social Emotional Wellbeing: Lessons from a Community-Based Intervention Conducted in Gothamipura, Sri Lanka
(School of Psychology. Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Jayatilake, P; Gunawardana, R; Goonetilleke, N
Adolescent mental health remains a growing concern in underserved urban communities in Sri Lanka. This study aimed to develop a culturally relevant support group model for adolescents in Gothamipura using a participatory approach. The objectives were to create a replicable context-sensitive intervention, enhancesocial-emotional wellbeing of participating adolescents, and offer a replicable framework for developing community-based psychosocial interventions in similar settings. The methodology involved two phases. The first phase involved focused group discussions and consultations with adolescents to understand social emotional focus areas. The second phase included designing sessions, pilot testing, and multiple feedbackand impact assessment sessions. A total of 26 sessions were conducted over 12 months, leading to the development of a support group model with 12 sessions. The model focused on three core areas: emotional awareness, distress tolerance, and interpersonal effectiveness. Session content was refined iteratively basedon facilitator observations and participant feedback. Impact assessments showed improved understanding of emotions, greater awareness of distress tolerance strategies, and increased engagement in interpersonal skills, though comprehension levels varied among participants. The structured yet adaptable framework that emerged to develop the model highlights the importance of grounding psychosocial interventions inthe lived experiences of adolescents and incorporating continuous feedback throughout the development process. While the model showed promise, limitations included the absence of pre-post quantitative evaluation and challenges in sustaining the intervention beyond facilitator-led sessions. This study contributes to existing knowledge by demonstrating how participatory methods can support the design oflocally meaningful psychosocial programs for adolescents in low-resource, and marginalized settings.
Open Access
A Poisson Mixture Model of Claim Counts to Improve Insurance Claim Predictions Using Incomplete Data/ Asymmetric Data: A Case Study with Telematics Insurance
(2025-10-10) Peiris, K. G. H. S.; Sampath, J. K. H.; Premarathna, L. P. N. D
In the evolving landscape of insurance analytics, integrating traditional and telematics data is pivotal for enhancing the accuracy of claim predictions. This study introduces a two-fold approach utilizing a Poisson mixture model to merge these distinct data streams effectively. Initially, we apply the Poisson mixture model to traditional insurance features common to both datasets, employing Hamiltonian Monte Carlo (HMC) and Metropolis-Hastings algorithms separately for model fitting. Subsequently,the predicted claim counts derived from the Poisson mixture model are used as an offset to fit a Poisson generalized linear model (GLM) exclusively with telematics-based features. Our focus is on assessing the suitability of HMC and Metropolis-Hastings for addressing data integration challenges within Poisson mixture frameworks. Comparative analysis reveals that while HMC demands more computational time to achieve convergence, it exhibits superior performance in parameter estimation in scenarios with increased model complexity. This study underscores the potential of advanced Monte Carlo methods in refining predictive models by leveraging the synergy between traditional and telematics data sources.
Open Access
A Qualitative Exploration of Pet Ownership and its Perceived Impact on Mental Health and Cultural Perspectives among Young Adults in Sri Lanka
(School of Psychology. Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Rodrigo, R. J; Goonethilleke, N
Pets have the capacity to offer unconditional love and support through companionship, positively influencing emotional, mental, and social wellbeing. Guided by the Human-Animal Interaction (HAI) framework, this qualitative study explored the views on pet ownership and mental health among young adults in Sri Lanka. Semi-structured interviews were conducted with seven pet owners aged 20 to 22. Data was analysed using thematic analysis. Four key themes emerged: (1) Psychological impact and emotional support, (2) Responsibility and daily structure, (3) Cultural and societal contexts, and (4) Fostering social connections. The findings highlight the meaningful contributions of pet ownership to reduced stress and anxiety, increased empathy, improved emotional regulation, and a sense of routine and responsibility, with cultural and familial factors shaping experiences. Pets occasionally served as social facilitators. Overall, findings suggest that pet ownership may offer valuable support for young adults’ mental health and wellbeing in the Sri Lankan context.
Open Access
A Right to Explanation for Algorithmic Credit Decisions in the UK
(School of Law, Faculty of Humanities and Sciences, 2025-10-10) Lui, A
Algorithmic processing of credit data is widely used in UK banks. ‘Algorithmic processing’ refers to the processing of personal and non-personal data by automated systems. This includes artificial intelligence (AI) systems such as machine learning models. The widely used description: ‘black box’ phenomenon, refers to the challenges of how and why algorithms arrive at a decision, given specific data input. The phrase ‘black box’ is used because such machine learning algorithms are very complex and constantly adapt to new input through ‘deep learning’. ‘Deep learning’ is a sub-set of machine learning. It allows computers to learn and think independently. In ‘deep learning’ technology, the decision-making process is often opaque and difficult to explain in a way that can be easily understood by humans. This inscrutability can lead to distrust in algorithms. The stakes are especially high when such algorithms are applied to decisions on access to finance because some of the most inscrutable machine learning models are used.
Open Access
A Study on the Challenges Faced When Interpreting Expressions Made in Sri Lankan Sign Language into Sinhala
(Department of Linguistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Madushani, B. L
Sign Language is a visual means of communicating using gestures, facial expressions, and body language. Like other world languages, it has systematic grammatical and morphological structures. It is the primary mode of communication for individuals with hearing impairments. In Sri Lanka, many deaf children born into deaf families, use Sri Lankan Sign Language (SLSL) as their mother tongue. As such, deaf signers use SLSL fluently, embodying its cultural and community-specific nuances. However, it is observed that when translating ideas conveyed through SLSL into Sinhala, numerous challenges arise. Against this background, this study attempts to identify the key linguistic, cultural, and technical obstacles encountered in translating from SLSL into Sinhala and explore strategies for mitigating them. In this context, the data were collected from fifteen professional and community-based sign language interpreters via semi-structured interviews, questionnaires, and Google Forms surveys. The findings emphasize the challenges posed by the variations in the signing pace, regionaland abbreviated variants, semantic shifts, form–movement variations, grammatical incompatibility, lack of deaf cultural awareness, detection difficulties, community signing preferences, and unstructured signing. These challenges lead to misinterpretation, loss of meaning, and communicative reakdowns. Recommendations, include standardizing SLSL through a national corpus and lexicon, establishing accredited interpreter training programs, integrating deaf cultural competency modules, promoting public awareness, and leveraging technology such as video annotation tools. Implementing these measures is supposed to facilitate high-quality SLSL to Sinhala interpretation, ultimately empowering deaf individuals and fosteringinclusive communication in Sri Lanka.
Open Access
A sustainable nursing and midwifery partnership research network improving patient care
(School of Nursing, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Phillips, Nikki (Nicole)
The focus of this presentation is Deakin University’s School of Nursing and Midwifery sustainable Research Network and its contributions through the Centre for Quality and Patient Safety Research. The Research Network has pioneered academic-industry partnerships, embedding researchers within major health services in Victoria, Australia.The first health service partnership was established in 1996 with the appointment of a Clinical Chair in Nursing, and the network has since grown to be large, wide reaching and sustainable, resulting in health services that together provide care for over three million Victorians annually. The three key research pillars underpinning the Centre for Quality and Patient Safety Research are patient safety, patient experience, and health workforce in the context of a variety of healthcare settings. Today, the School has one of the largest nursing and midwifery professoriates in Australia. These include Chairs in Nursing or Chairs in Midwifery, and most recently an Associate Professor in MentalHealth Nursing, all jointly appointed by the University and health services, that leadresearch teams focused on improving patient and maternity outcomes. The teams of researchers in each health service collaborate widely with clinicians and other researchers to generate knowledge, synthesise evidence, and translate evidence into practice. In addition, clinicians are supported to undertake research degrees, further building research capacity and leadership in the health service. Examples of impact of the sustainable network will be showcased.
Embargo
Abandonment of paddy lands and its causal factors in Bentota Pahalagamhaya Agrarian service division, Sri Lanka
(Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Hansika, A.H; Amarasinghe, S.T.C; Sandamali, T.G.I
Paddy is the most significant and highly valued crop in Sri Lanka. Paddy cultivation has been given top priority in the agriculture industry due to its strong links to food security and the socioeconomic development of the rural community. Paddy is the most significant commercial crop in the Galle district of the Low Country Wet Zone (LCWZ). However, the Galle district has a substantial amount of abandoned paddy land due to various circumstances. Abandoned paddy lands have an impact on paddy production, rural livelihood and food security in Sri Lanka. Therefore the objectives are to identify factors affecting paddy land abandonment and farmers' willingness to recultivate abandoned paddy lands in Pahalagamhaya Agrarian service division. One hundred paddy farmers with abandoned paddy lands were selected by purposive sampling while adopting a questionnaire survey method to perform multiple regression analysis and descriptive statistics. Frequent flood conditions, wild animal damage, poor drainage system, salinity and inadequate infrastructure facilities were identified as the factors that affect paddy land abandonment according to the results of multiple regression analysis. Descriptive statistics revealed that 69% of farmers are willing to re-cultivate abandoned paddy lands. The findings will aid the government and other responsible organizations in the effective management and control of the factors that cause paddy land abandonment in Bentota, Pahalagamhaya Agrarian service division. Reducing the number of abandoned paddy lands will help boost the food security in this area.
Embargo
Academic Research and Technology Transfer from University to Industry: Prospects, Challenges and the Way Forward for Sri Lanka
(Faculty of Humanities and Sciences - SLIIT, 2021-03-26) Punchihewa, N. S.
Universities are at the frontier of knowledge, research, innovation and cutting-edge technology. Therefore, converting university research outcome into commercial success has attracted significant attention among policymakers in developed and developing nations alike in recent years. As it is evident, universities around the world are currently embracing a paradigm shift in academic research commercialization, in addition to traditional university mission. Based on the ’Triple Helix’ model of innovation, the universities are to create ‘academic entrepreneurship.’ Relying upon the landmark legislation of the US, commonly known as the ‘Bayh-Dole Act’ leading universities in many countries have established their own university technology transfer offices (TTOs). The Sri Lankan university system is no exception to this international development. Given the critical and urgent need, the University Grants Commission (UGC) of Sri Lanka has introduced a new legal initiative; namely, the Commission Circular (University Business Linkage) No. 10 of 2016 and guidelines for its implementation. The Circular requires universities to implement an IP Policy at universities, promote the creation of university spin-offs and research cooperation between business and the university, among others. To further this policy objective, all fifteen state universities and a number of non-state sector higher education institutions have established the University Business Linkage (UBL) Cells in compliance with provisions of the said Circular. Therefore, the universities in Sri Lanka have perceived the mandate of teaching, research and creating co-operative extension to provide innovative advantages for the benefit of the society in line with the university mission. In view of the above, this research aims to shed light on and critique the new legal environment created by the UGC Circular for academic research, innovation, protection and commercialization viewed through the lens of a comparative legal research and analysis.
Open Access
Academic Ritualistic Behaviours and Exam Stress: Insights from Generation Z Undergraduates in Sri Lanka
(School of Psychology. Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Dissanayake, I. N. D; Abeysinghe, N
This study explores the role of Academic Ritualistic Behaviours (ARB) in managing exam stress among Generation Z university students in Sri Lanka. Exams are often highly stress-inducing events, and this research aims to examine how ritualistic behaviours rooted in personal, cultural, generational, and psychological frameworks help students in managing exam-related stress. Semi-structured interviews were conducted with six undergraduates between ages 18 to 26, till data saturation. The interview transcripts were thematically analysed using Braun and Clarke’s (2006) framework, and the analysis gave rise to three themes: (1) Personal and cultural anchors: Rituals rooted in family, tradition, and peer influence; (2) Rituals as emotional needs: Objects, music, and symbolic actions providing comfort and focus; and (3) Technology-infused rituals: Apps, digital platforms, and manifestation practices shaping modern coping. While rituals promoted reassurance and structure, overreliance sometimes heightenedanxiety when disrupted, highlighting the double-edged nature of such practices. The Findings suggest that academic ritualistic behaviours influenced by cultural heritage and digital practices contribute to resilience, focus, and emotional stability during exams, but also reveal potential risks of overreliance. They emphasise the need for educators and researchers to acknowledge both benefits and risk associated with these behaviours when addressing student wellbeing.
Open Access
Accessing Customer Perceptions on Customer Adoption of Digital Banking Platforms; Private and Public Bank Comparison in the Post COVID –19 Pandemic in Sri Lanka
(Emerald Publishing, 2022-12-01) Jayakody, J. A.D.P.M; Perera, K.N.M; Perera, D.S. I; Liyana Arachchige, K.P; Dunuwila, V.R; Lokeshwara, A
Digitalization plays a significant role in every country at present. When referring to the banking field, banks introduce new digitalization features to their banking customers and motivate people to do their transactions on digitalization platforms. In this study as digitalization platforms, researchers consider ATMs, electronic fund transfers, SWIFT transfers, bank credit debit cards, digital bill payments, internet transactions, digital wallets, and E-vouchers. The main objective was to investigate the customer adoption of Digital Banking (DB)platforms during the post-COVID -19 pandemic in Sri Lanka. There were six independent variables short-formed as customer perceptions and dependent variable was customer adoption. This research is based on quantitative data gathered among the Sri Lankan people scattered in rural and urban areas. Researchers collected data by distributing google questionnaires among the people using cluster sampling method. 421 responses were collected. Analysing methods were correlation, regression and researchers used the SPSS tool for the analysis part. After the data analysis, researchers found there is a significant impact on perceived ease of use, accessibility, and digital literacy towards customer adoption and there isn’t a significant impact on perceived usefulness, perceived risk, and perceived trust to words customer adoption. Researchers concluded that the result as there is a higher number of private bank customers who indicated an intention for using digital banking platforms compared to public banking usage in Sri Lanka. This study is more important to the banking field for identifying customers’ DB usage factor identification and increasing their customers' DB usage and banking people could be able to identify the reasons that customers don’t adopt digital banking in their banking activities.
Open Access
Adaptive Multi-model Machine-Learning and AI Systems for Strengthening the Emotional Well-being of Children with Trisomy 21
(SLIIT City UNI, 2025-07-08) Balasuriya, M.I.D.C.; Ellepola, N.
This research study demonstrates a web application designed to strengthen children's cognitive skills and emotional well-being with Trisomy 21, utilizing interactive and tailored tools. Trisomy 21 is a chromosomal anomaly caused by an extra copy of the 21st chromosome, which affects a child's cognitive development. Despite the technological evolution, a significant gap persists in accessibility and multimodal approaches that meet the unique needs of children with Trisomy 21. The main objective of the research study was to develop a multi-model web-based application, “Mockley kids,” customized for children with Trisomy 21 that helps to enhance their cognitive skills and emotional wellbeing. The developed system integrated an artificial intelligence (AI) powered voice assistance to enhance communication, and learning, an emotion-based music recommender to enhance emotional well-being and provide a calm and uplifting environment, a text-based bot to enhance literacy skills and communication, and interactive games “Who am I?”, “Tic-tac-toe”, “Simon-says” to increase attention span, decision making, which are tailored to enhance their cognitive skills and emotional well-being. The development and implementation of this project follows a structured process aligned with Agile project methodology. To evaluate the “Mockley kids” system’s impact on children with Trisomy 21, 16 children who were diagnosed with Trisomy 21 engaged with the system for 20 minutes for a week, under the supervision of 8 professionals, including 3 speech therapists, 3 occupational therapists, and 2 educators. Overall results show that the children were excited to integrate with the system and enjoyed the system. Both the professionals and the parents stated that they had evident noticeable improvements in cognitive abilities, including enhanced communication, memory recall, enhanced attention span, and improvements in emotional well-being.
Open Access
Adherence to the World Health Organizati on’s Pati ent Care Indicators in Outpati ent Department Dispensing at a Tertiary Care Hospital: A Cross-Secti onal Observati onal Study
(Faculty of Humanities and Sciences, SLIIT, 2024-12-04) Sanjithakrishna, S.; Liyanaarachchie, L.C.P.T.; Krishnananthalingam, D; Bagyawantha, N.M.Y.K.
The World Health Organizati on (WHO) has developed good dispensing practi ces (GDPs) to standardize the performance of pharmacists. Hence, they can be used as indicators to assess the quality of dispensing services. Evaluati ng the quality of dispensing is pivotal in improving dispensing practi ces in a healthcare insti tute. The objecti ve of this study was to assess the adherence of outpati ent department (OPD) pharmacists to WHO’s pati ent care indicators. This was a cross-secti onal, observati onal study conducted at the OPD pharmacy of the Teaching Hospital, Jaff na. Ethical approval was obtained from the ethics review committ ee, Faculty of Allied Health Sciences, University of Peradeniya. Eight pharmacists named A to G in the OPD were evaluated using a checklist by a single observer for about 10 dispensing cycles assessing average dispensing ti me, percentage of pati ents’ knowledge of correct dosage, percentage of drugs adequately labelled, and percentage of drugs dispensed resulti ng in the observati on of 78 dispensing cycles. Pati ent knowledge was assessed using a structured questi onnaire administered postdispensati on. These assessments were carried out in the real dispensing environment at the OPD, and the results were infl uenced by multi ple factors in the dispensing environment. The average dispensing ti me was 41.8 sec. Pharmacist A showed the highest dispensing ti me (55.7 sec) and pharmacist E showed the lowest dispensing ti me (31.0 sec). The percentage of drug knowledge among the pati ents varied between 50.0% to 65.0%. All the pharmacists adequately labelled the drugs during the dispensati on except pharmacist A (68.9%). Pharmacists B and C dispensed 100.0% of prescribed drugs. While adherence to certain WHO pati ent care indicators such as drug labelling and dispensing percentages were sati sfactory, the average dispensing ti me and pati ent knowledge were below WHO recommended standards.
Open Access
Adoption success of using Generative AI apps for the ECommerce Platforms in Sri Lanka
(ICSDB 2024 and SLIIT Business School, 2024-12-10) Dilshan, A.; Wijayanayake, J.; Asanka, D.; Karunarathna, C.
The digital landscape has witnessed the widespread influence of e-commerce, with the Information Technology industry embracing generative AI applications. This research aims to investigate the adoption success of existing e-commerce platforms in Sri Lanka in incorporating generative AI technologies. A systematic literature review using the PRISMA framework identified how generative AI is used in various industries, its Future Directions, Ethical Concerns, Security, and Privacy Considerations, and the most widely used and accepted models for understanding technology adoption. The Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) are the two most widely used in past research for the acceptance of technology. These two models and past literature were used to develop a conceptual framework. The variables in this research model were measured through questionnaires with five-point Likert scales and close-ended questions completed by the Software Engineering and Software development process-related employees in Sri Lanka. Data cleaning and demographic data analysis were conducted using IBM SPSS 21, and preliminary data analysis was performed using PLS-SEM (SmartPLS 4). The study found that generative AI apps are productive, effective, and capable of retaining users with a positive intention to use them in Ecommerce. High implementation costs negatively impact, and Low training and maintenance costs positively affect the intention of users to adopt generative AI apps. The factors such as innovativeness, perceived benefits, and level of attitudes, positively impact the overall adoption success. These findings are expected to guide Sri Lankan e-commerce platforms, aiding them in enhancing the successful adoption and seamless integration of generative AI apps. By aligning with the wisdom of TAM and its associated models, our research contributes to understanding the adoption success of Sri Lankan e-commerce platforms to embrace generative AI technologies.
Open Access
Aeroacoustic Noise Produced from Novel Wind Turbine Rotor Design for Small-scale Applications in Sri Lanka
(SLIIT, 2022-02-11) Perera, M; Bandara, U. H
Growing concerns regarding non-renewable energy sources have driven academic and industrial scholars as well as global superpowers to seek sustainable, greener power generation alternatives. One such prominent renewable substitute is wind power which was initially utilized in harnessing electricity towards the late nineteenth century though archaeological evidence has proved that wind power had been employed for various purposes since predynastic Egypt. Extensive research and development has enabled the efficient operation of multi megawatt wind farms at present though inherent drawbacks still persist, of which aerodynamic noise, also referred to as aeroacoustic noise, is of major concern. This paper details the simulative investigation of the aeroacoustic sound levels produced by an optimized novel wind turbine design intended for the use in small scale applications with medium wind speed conditions in Sri Lanka, using ANSYS Fluent. A transient analysis using the Shear Stress Transport turbulence model was used to obtain the converged pressure fluctuations which subsequently revealed the sound pressure levels via Fast Fourier Transforms at six predetermined locations of interest. The results revealed the presence of acoustic vibrations within the Infrasonic and Low Frequency Noise range with sound pressure levels exceeding one hundred decibels, particularly up to a frequency of twenty five Hertz. Prolonged exposure to elevated levels of low frequency noise has been identified to cause severe discomfort to humans though further conclusive research is required. Finer mesh controls which incorporate minute boundary layer variations during motion and precisely encapsulate the turbine geometry could further improve the accuracy of the results, however this would require adequate computational capacity. The results of this research primarily serve as a basis for identifying possible improvements for the novel rotor design in addition to providing a comparative study for future research, both simulative and empirical, on the aerodynamic noise emissions associated with wind turbines.
Open Access
Affordable and Reliable Video Laryngoscope with Wireless Connectivity
(SLIIT, 2022-02-11) Dassanayake, I; Senanayake, K; Katakumbura, I; Senaviratne, L
Along with the pandemic situation across the world, the resilience of using ordinary medical devices is limited. Also the demand for medical devices which are used to diagnose COVID-related diseases rapidly increased. Taking all these facts into consideration, a new laryngoscope device was developed with exciting functionalities. The proposed device is affordable and comes with remote monitoring capabilities. An ordinary video laryngoscope uses an expensive camera module to capture video streams, and the proposed device uses ordinary USB camera modules which are cheap and affordable. Therefore, it is even possible to replace/discard camera modules each time after investigating COVID-related patients. The proposed USB camera and Laryngoscopic blades can be easily replaced for a very affordable cost. In the proposed system, a real-time video stream can be remotely monitored in multiple displays, including personal mobile devices. Since the live video footage can be streamed across the world, expertise in the field can monitor and consult promptly. This device broadcasts video wirelessly through LAN (local area) and WAN (wide area) networks in real-time. So far, the device transmits live video streams wirelessly with less than 250ms latency on LAN networks, and 500ms to 1000ms latency in WAN networks. An inbuilt rechargeable power supply will power up the device for ~ 45min in continuous use.
Open Access
Agent-Based Gamified Learning Environments for Data Science Education
(SLIIT Business School, 2023-12-14) Jayalath, N; Rajapakse, C
Because of the rapid advancement of technology and the increasing importance of the inferences that can be drawn from the big data available in organizations, modern organizations require managers and data Analysts who are capable of data-driven decision-making. But data science students need a natural environment when it comes to learning data-driven decisionmaking, especially when it comes to predictive and prescriptive analytics. Due to costs and other associated risks in a natural organisation setting, it is hard for educational institutions to teach these aspects of decision-making for data science students. Even Though gamification has been implemented in the data analysis domain in various forms, the field still requires a suitable environment to learn predictive analytics interactively for the students. Even though Researchers have identified that Gamified learning environments can improve Predictive analytics learning can be improved by 15.8%, still there is the lack of proper implementation of a suitable gamified learning environment. This research focused on identifying drawbacks of existing learning environments and whether Agent-Based Modeling can be used in modelling a suitable gamified learning environment. Therefore, an agent-based prototype model of a parameterized environment that enables data-driven decision-making in a simulated environment was modeled using Agentbased modeling, which depicts real-life donor interactions. Results suggest that fill in blanks This Agent-based model can be used as a learning environment for data analysis. Upon further modification, A game that applies this Agent-based model can be developed.