Institutional-Repository, University of Moratuwa
Welcome to the University of Moratuwa Digital Repository, which houses postgraduate theses and dissertations, research articles presented at conferences by faculties and departments, university-published journal articles and research publications authored by academic staff. This online repository stores, preserves and distributes the University's scholarly work. This service allows University members to share their research with a larger audience.
 Research Publications |  Thesis & Dissertation |  E- Books |
 UoM Journal Publications |  UoM Conference Proceedings |  Articles published in Scimago's Q1 journals |  UoM Research Reports |  Other Articles authored by UoM staff |
Recent Submissions
item: Article-Full-text
Harmonizing diversity: introducing a universal classification system and database concept for anatomical variations
(Turkish Society of Anatomy and Clinical Anatomy (TSACA)) Sampath, SB; Jayapala, D; Warnakula, P; Wimalasundera, A; Muhandiram, R; Neththikumara, U; Jayasena, O; Jinadasa, D
Objectives: Despite the wide interest in studying anatomical variations of the human body, significant gaps and inconsistencies remain in the literature. The use of variable terminologies and inconsistent classification systems remain a few of the key contributors for this gap. Many of these challenges can be addressed by adopting a universal classification system alongside a standard database. This study introduces a practical approach for the classification of variations that can reduce miscommunications and ensure a thorough evaluation.
Methods: In this novel Universal Classification System, solid organ variations are categorized as variations in: measurements (size, weight, dimensions); shape; consistency (presence, absence, multiplication); variation in associated structures or ducts (origin, termination, branching, variation in supply and consistency); and variations in blood supply, lymph drainage and innervation. For nerves, lymph and blood vessels, variations are classified as variation in origin (level and mode of origin – normal or aberrant); variation in termination (level and way of termination as bifurcation, trifurcation, etc.); branching variations (origin, variation in supply and consistency); consistency; and site of supply. An additional category of ‘other’ includes variations that cannot be classified under the above categories (aplasia/absence, hypoplasia, fenestration, tortuosity, loops, etc.).
Results: Application of the proposed Universal Classification System demonstrated that anatomical variations can be systematically and consistently categorized across different organ systems. Based on these findings, a standardized database model was developed to store and manage variation data using the same classification framework. The results define the database structure, data entry and storage procedures, maintenance principles, and access protocols, providing a practical and reproducible tool for the standardized documentation and retrieval of anatomical variation data.
Conclusion: The findings of this study confirm that a universal classification system can effectively standardize the evaluation of anatomical variations. The resulting database framework translates this system into a practical and scalable tool, facilitating consistent reporting, data storage, and knowledge transfer. This approach contributes to a more coherent and accessible body of anatomical variation data for educational and clinical use.
item: Conference-Full-text
FARU 2025 Conference Proceedings (Pre-Text)
(Faculty of Architecture Research Unit, 2025)
item: Conference-Full-text
Integrating CNN deep learning and biomass correlation approaches for paddy land detection and yield estimation in north central province, Sri Lanka
(Faculty of Architecture Research Unit, 2025) Sankavi, K; Madusanka, NBS; Jayasinghe, A
Accurate paddy land monitoring and production forecasting are critical for ensuring food security and making informed import decisions. This research focuses on integration of Convolutional Neural Network (CNN) deep learning models with vegetation index-based analyses to enhance paddy land identification and yield estimation in the North Central Province of Sri Lanka. The research design outlined involves two overall stages. First stage involves two steps. First, CNN models are applied to high-resolution satellite imagery to detect paddy lands in the region accurately. Second, the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) are utilized to classify active and inactive paddy fields during cultivation seasons. The second stage is the production estimation using a biomass correlation approach by employing NDVI and the Enhanced Vegetation Index (EVI) to predicting yield before harvesting. The study addresses a major problem in Sri Lanka’s agricultural sector—inaccuracy of data, which typically leads to inefficient decisions in rice import and compromises food security at national level. By providing timely and accurate information on active paddy lands and expected production, the proposed method offers a scientific basis for better planning and policy-making in the agricultural sector.
item: Conference-Full-text
Reclaiming abandoned railway landscapes for community well-being a case study of Ratmalana, Colombo, Sri Lanka
(Faculty of Architecture Research Unit, 2025) Amandi, KPS; Hettiarachchi, AA
The study examined the impact of abandoned landscapes on the social well-being of nearby residential communities, focusing on the abandoned railway premises in Ratmalana, Colombo, Sri Lanka. It was selected as a suburban area with delayed redevelopment and long-term exposure to environmental neglect. Framed by the theories of Urban Decay, Spiral of Decline, Broken Windows, and Social Disorganization, the research identified six significant abandonment-related impacts as independent variables, with Social Well-Being as the dependent variable. Social well-being was assessed using the Personal Well-being Index-A across seven key factors through a mixed-methods approach combining qualitative and quantitative data, including field observations, physical assessments, and a household survey (N = 50). The study found that visual blight was the most unsatisfactory factor, with a mean score of 2.12, while vandalism had the least impact (M=2.94). Among social well-being indicators, future security recorded the lowest (M=1.86), whereas achieving life recorded the highest (M=2.72). Overall, the community's subjective well-being was categorized as ‘challenged level’ in the PWI-A category, reflecting a reduced quality of life. The study concludes that adaptive reuse, enhanced safety, inclusive participation, and balanced investment are essential for revitalizing abandoned urban landscapes and strengthening social well-being.
item: Conference-Full-text
Influence of tactile features on sensory cues of visually impaired patients in National Eye Hospital, Sri Lanka
(Faculty of Architecture Research Unit, 2025) Jayasekera, JP; Mendis, MS
A visually impaired person is someone whose’ eyesight cannot be corrected to normal levels. Visually impaired people heavily rely on their other senses more than the visual sense to experience the surrounding world. Tactile features cater to the haptic cues of a visually impaired person through helping with tactile navigation & way finding, safety & hazard awareness, independence & self-awareness, communication & information access and spatial orientation & memory. This study is conducted to explore the sensory cues of visually impaired patients & how they can be catered using different tactile features, materials, lighting & colours. Also, the existing tactile features are identified along with the influence tactile features have on visually impaired patients at the National Eye Hospital Sri Lanka.
A mix method (qualitative & quantitative) study is carried out through a comprehensive literature review, observational study & questionnaire surveys. The Outpatient Department of the National Eye Hospital is chosen for the study as it’s the tertiary care centre for the visually impaired patients in Sri Lanka. Visually impaired patients & staff members from the General Ophthalmology Clinics were chosen for the study. This study clearly shows that the existing tactile features are not sufficient for the visually impaired patients. Overall, most of the staff members think that implementing tactile features will be beneficial for the patients while almost 50% of the patients agree with them. Finally, this research clearly depicts the importance of implementing tactile features in the Outpatient Department of National Eye Hospital.