University of Sri Jayewardenepura: Journals & Proceedings
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Sector Value Addition in GDP and CO2 Emanation in Sri Lanka
Get PDFThis study investigates the impact of agriculture, industry, and service sector value added in the gross domestic production (GDP) on carbon (CO2) emissions in Sri Lanka from 1965 to 2023. The study employed the Autoregressive Distribution Lagged (ARDL) bound test to investigate the study variables; long run relationship. The study results show that carbon emissions and value added in agriculture have negative significant association while value added in service and carbon emission has positive significant association in both short and long run. The results analysis does not support the EKC hypothesis in Sri Lanka. Furthermore, in this study, The EKC hypothesis contradicts in the sense that Sri Lanka moves from the secondary to the tertiary sector (Services) but CO2 emissions do not decrease but rather increase with rising income that is the new findings of the research. Thus, the implication of the research is that staying service economy is not the only way of reducing CO2 emissions because value added services in GDP are also associated with CO2 emissions. As well as other factors that affect CO2 emissions such as environmental awareness, technique effects, trade openness, and environmental regulations, are welcome to further researchers
Improving the Hydrodynamic Performances of an Underwater Snake Robot Using Computational Fluid Dynamics
Get PDFThe ocean contains biological resources, energy, and mineral resources. Therefore, underwater vehicles could extensively be used for inspections and installation of machinery in the underwater environment. Bio-inspired underwater snake robots are a key research area in underwater robotics. The ability to reach narrow spaces and their capability of being used as manipulators are significant attributes of snake robots. However, their limitations, such as slow speeds and low efficiency, hinder their widespread application. To overcome these limitations, a range of caudal fins are introduced to underwater snake robots. These fin geometries were selected based on the locomotion of fish. This study investigates truncate, rounded, forked and heterocercal fin geometries. Computational fluid dynamics (CFD) techniques are used to identify the most suitable types of caudal fin shapes that can maximize the thrust and neutralize the lift. According to the results, rounded caudal fin geometry was concluded to be the best candidate among the other proposed fin geometries for underwater snake robots
Design and Analysis of a Spring-supported Parallel Two-Jaw Gripper
Get PDFThis paper presents the design and analysis of a novel parallel two-jaw gripper equipped with spring mechanisms to enhance its gripping capability. This gripper employs a rack and pinion mechanism consisting of two racks and a pinion gear. Two compressive springs attached to each end of the rack enhance the grasping actuation by providing supportive force. This integration of the rack-and-pinion mechanism with spring mechanisms enables the design to surpass the limitations of conventional grasping systems. It offers several advantages including reduced torque requirements, increased handling ca- pacity, enhanced operational safety, and improved reliability. Furthermore, the gripper design prioritizes simplicity and ease of fabrication to facilitate practical deployment and mainte- nance. Comprehensive modelling and evaluation of the gripper are conducted through simulations and analytical calculations, highlighting its effectiveness and power efficiency in automated handling systems
Smart Dance Shoes with Machine Learning Powered Light and Motion Synchronization
No full textIn the era of wearable technology, integrating machine learning into performance arts opens new dimensions for user interaction and creativity. This project presents the development of Smart Dance Shoes that utilize motion sensors and machine learning algorithms to deliver real-time RGB light synchronization based on dance movements. The system is built using the ESP32-S3 microcontroller and the MPU-6050 sensor, which capture accelerometer and gyroscope data from the dancer’s movements. These data inputs are processed through a machine learning model developed on Edge Impulse, which classifies different dance gestures such as jumps, spins, and steps and triggers corresponding lighting effects to enhance visual performance. The hardware is designed to be lightweight, portable, and user-friendly, making it suitable for dancers, performers, and fitness enthusiasts. Key components include RGB LED neon strips, a 3.7V LiPo battery, and Bluetooth integration for wireless customization. Testing covered unit, integration, and performance evaluations to ensure stability, low latency, and energy efficiency. Future improvements include multi-shoe synchronization, music-responsive lighting, and advanced models such as LSTM. This project demonstrates the potential of intelligent wearables in enhancing interactive and immersive experiences in performing arts.Keywords: Wearable technology, Machine learning, Motion recognition, RGB lighting, Smart danc
Voice of Undergraduates: The Influence of English Movies and Poster Presentations on the Development of Business English Skills
No full textBeing competent in Business English allows learners to communicate with clarity and confidence in a multitude of business circumstances, ranging from presentations to negotiations. Among these skills, effective writing as well as delivery of presentations, coherently and lively are crucial for a Business English learner. Thus, this study aims to examine the impact of English movie and poster presentations on the development of written and verbal communication, vocabulary, and understanding of business-related contexts of undergraduates learning at a state university. Since there is inadequate research conducted on the effectiveness of incorporating English movie and poster presentations as pedagogical strategies for developing the Business English skills in a non-native English-speaking atmosphere, the present study provides an insight into the use of said strategies in the Sri Lankan context. Thus, the study gathers data from a sample of 38 undergraduates attached to the Business and Management Faculty. A questionnaire was administered among the research participants following a quantitative approach. After analyzing the data, the findings of the study revealed that both English movie and poster presentation have a positive impact on developing students’ productive and receptive skills. These results present the significance of integrating these visual and auditory components concurrently in language activities and emphasize their potential as essential teaching approaches in language classrooms.
KEYWORDS: Undergradutes, English movie, Poster presentation,Buiness English
 
Methods, Techniques and Challenges in Deciphering the Sa-skaya Codex: Karmmavibhāga as the Oldest Sinhala Manuscript into Modern Sinhala
No full textThe Sa-skaya Codex is named as Karmmavibhāga, is acknowledged as the oldest existing Sinhala manuscript and also possesses significant historical and cultural importance. It has been offered a unique insight into the religious, linguistic, and cultural tapestry of ancient Sri Lankan society. The codex poses significant difficulties for contemporary researchers, because of its outdated language, unique writing style, and physical decay. This research is been aimed to create an exact translation of the Sa-skaya Codex into modern Sinhala, while accurately, and it will be maintaining the linguistic subtleties and cultural richness of the original. A multidisciplinary approach had utilized to accomplish this, integrating paleography, philology, and digital humanities. Paleographic examination had been utilized to interpret the script and grasp the writing practices of that time period. Philological methods have been already aided in understanding ancient vocabulary and grammatical forms and allowing them for more context-driven interpretation of the text. Moreover, sophisticated digital technologies those are including high-resolution imaging and machine learning were been employed to restore the faded or impaired portions of the manuscript. The results are highlighting the codex's complexity in language and spelling, demonstrating the development of the Sinhala language across centuries. Additionally, the research uncovers the various historical and cultural details within the manuscript that had not been acknowledged before. As the summary, this study is providing a dependable framework for translating the ancient Sinhala documents and also highlighting the greater importance of safeguarding and interacting with historical manuscripts. It significantly enhances the comprehension of linguistic legacy of Sri Lanka and provides a model that would be able to replicated for future translation efforts concerning early textual traditions.
DOI: http://doi.org/10.31357/fhss/vjhss.v10i01.1
A Review of Integrating Geospatial Technologies and Artificial Intelligence for Habitat Connectivity Assessment in Fragmented Landscapes
No full textBreaking down natural habitats presents a major threat to biodiversity through disrupted ecological connections, mutated species paths, and enhanced separation of territorial areas. Most of these difficulties require advanced analytical tools that combine geographic information technology with Artificial intelligence (AI) capabilities to do better habitat connectivity assessments. This review investigates the modern development of remote sensing technologies alongside Geographic Information Systems (GIS) and AI-powered models for habitat fragmentation assessment and conservation planning designs. Monitoring habitat transformations through time becomes possible through high-resolution LiDAR-based satellite imagery and using Unmanned Aerial Vehicles-based (UAV-based) monitoring, which delivers extensive spatial data about habitat alterations. The analysis of ecological corridors and the assessment of fragmentation metrics become possible by implementing two GIS-based modeling techniques, consisting of least-cost path analysis and circuit theory modeling. Deep learning frameworks, including Convolutional Neural Networks (CNNs) and Object-Based Image Analysis (OBIA), have revolutionized land cover classification while simultaneously enabling automated connectivity assessments by enhancing accuracy levels. The application of AI in ecological assessments is hindered by challenges such as limited data availability, poor model generalization, and a lack of interpretability in predictive models. The study followed a systematic review approach to formulate the review article to address the research focus. The review research has been designed to achieve three objectives: to evaluate the integration of AI techniques for improving data access at fine scales, enhancing ecological connectivity metrics for sustainable habitat management, and to examine the challenges and opportunities of using AI and GIS in habitat connectivity, focusing on data access, model interpretability, and classification consistency.
DOI: http://doi.org/10.31357/fhss/vjhss.v10i02.0
Participatory Planning in Primary Health Facilities in Tanzania
No full textParticipatory planning plays a significant role in ensuring the delivery of effective healthcare services, particularly in resource-constrained settings. Understanding the dynamics of participatory planning is crucial for fostering community engagement, building local capacities, and fostering collaboration among stakeholders. Tanzania continues to face challenges in participatory planning, including resource constraints, capacity gaps, information gaps, and a lack of autonomy. By exploring demographic, socio-economic, organizational, institutional, cultural, and social factors, the study aims to shed light on how participatory planning can be optimized to enhance healthcare delivery in primary health facilities. The research adopted a quantitative approach with a descriptive design, ensuring rigor and reliability in data collection and analysis. The sample size of the study was 180 respondents, selected using simple random sampling. In order to guarantee clarity, relevance, and reliability, a researcher-developed questionnaire was verified through expert review and pilot testing. The utilization of the Relative Importance Index (RII) enables the ranking of criteria by their significance, thereby providing valuable insights into the factors influencing participatory planning in Moshi municipality. Key findings underscore the importance of clarity by defining roles in planning with strong agreement on its importance. Education and access to information also significantly impact participation. Results inform policymakers to have clear roles and awareness creation to enhance community involvement effectively. The implications of this research extend beyond academic discourse, offering actionable recommendations for policymakers and health administrators. By emphasizing the importance of role clarity, education, and access to information, the study provides practical guidance for improving participatory planning in primary health facilities.
Keywords: Participatory Planning, Primary Health Facilities, Relative Importance Index, Tanzani
Entrepreneurial Bricolage in SMEs: Exploring the Interplay of Divergent Thinking, Self-Efficacy, and Gender Dynamics
No full textThis study examines the relationships between divergent thinking, self-efficacy, and entrepreneurial bricolage in Small and Medium-sized Enterprises (SMEs), with a particular focus on the moderating role of gender. The research addresses a critical gap in understanding how cognitive processes interact with demographic factors to influence resourceful entrepreneurial behaviors, particularly in developing economy contexts where SMEs face persistent resource constraints. Adopting a quantitative approach, data were collected from 352 SME owners in Sri Lanka and analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings reveal that both divergent thinking and self-efficacy have significant positive effects on entrepreneurial bricolage, while gender does not significantly moderate these relationships. These results underscore the centrality of creativity and confidence in fostering adaptive resource utilization, regardless of gender. This study makes three key contributions. First, it extends entrepreneurial bricolage theory by empirically linking two core cognitive capabilities—divergent thinking and self-efficacy—to bricolage behavior. Second, it addresses a methodological and contextual gap by applying advanced structural modelling techniques to SMEs in a developing economy, offering evidence from a setting where bricolage is a strategic necessity. Third, it enriches gender and entrepreneurship literature by empirically testing the moderating role of gender, clarifying its limited influence in this context. The findings provide actionable insights for policymakers, entrepreneurship trainers, and SME support organizations to design interventions that cultivate creativity and self-belief among entrepreneurs, ultimately enhancing SME resilience and sustainability
Interplay between Institutional Isomorphism and Institutional logics in shaping LGBTQIA+ Policies in Sri Lanka
Get PDFThis interpretive study explores how institutional isomorphism and institutional logics legitimize the company’s approach to fostering LGBTQIA+ inclusion. Under the explorative single case study approach, data was collected through in-depth interviews with sixteen key informants. The case organization of this study is Country Holdings (CH), a local group of companies with a history of promoting diversity and inclusion in the workplace. With over 150 years of operation and more than 20,000 employees across various industries, CH has consistently embraced an inclusive culture. The company has formalized anti-harassment and non-discrimination policies, emphasizing equal opportunity, a code of conduct, and zero tolerance for harassment or discrimination. The findings uncovered different actions the organization took in adopting the LGBTQIA+ inclusive policy and practice despite the strong anti-LGBTQIA+ sentiments in the society and legal framework. Consequently, it was revealed how normative and mimetic pressures in the global market sphere create homogeneity. Moreover, this study uncovers how corporate, business, and labor market logics in the institutional fields create heterogeneity in the local market in terms of adopting the LGBTQIA+ inclusive policy and practice. These findings illustrate how several related perspectives of neo-institutionalism aggregately contribute to gaining legitimacy to adopt LGBTQIA+ inclusive policy and practice within the organization irrespective of heteronormative social and legal constraints. Overall, CH’s approach to LGBTQIA+ inclusion offers a comprehensive model for other local organizations seeking to embrace diversity and inclusion. The intersection of supportive institutional logics and isomorphic pressures to adopt LGBTQIA+ friendly policy and practice facilitates a workplace that is competitive, innovative, socially responsible, and inclusive