Browsing by Author "Rathnayake, P"

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Embargo
Non-Communicable Diseases Detection System
(IEEE, 2021-12-09) Thudawehewa, H. R; Jayawardhana, W. A. P. T; Wellehewa, C. G; Silva, C; Rathnayake, P
This research paper presents a Non-communicable Diseases Detection System which is a centralized medical system designed for general public usage. The system aims to provide help for people with non-communicable diseases. In a pandemic situation like this where people find it difficult to reach medical facilities and staff, the system is more advantageous. The system covers areas related to the medical report analysis, BMI value prediction, and breast cancer analysis related to non-communicable diseases. Presently health reports are taken for every disease. BMI is a factor essential to everyone to lead a healthy life. The majority of women suffer from breast cancer. As per the findings of the report, the report analysis predicts possible diseases that can occur in the person concerned. In BMI prediction, particularly the possible BMI value and weight value for the next month is predicted. In Mammogram detection, it gives the current status of the breast. The report analysis model has 90.6% accuracy while the BMI prediction model has 99.7% accuracy. The mammogram detection model proved that it has 96.5% accuracy. All the aforesaid procedures were carried out by analyzing related data systematically. Machine learning, Deep learning, and Image processing techniques were used to develop this system. The main purpose of this system is to make the persons aware of their current health status and to prevent them from having non-communicable diseases.
Open Access
Rainfall trend analysis in Uma Oya basin, Sri Lanka and future water scarcity problems in perspective of climate variability
(https://www.hindawi.com/journals/amete/, 2019-04) Khaniya, B; Jayanayaka, I; Jayasanka, P; Rathnayake, P
The effect of climate variability on the rainfall pattern is canvassed on the Uma Oya river basin, Sri Lanka, consisting of 5 rainfall gauging stations. The Uma Oya basin (720 km2) is given utmost precedence due to environmental concerns seen in the ongoing Uma Oya multipurpose development project (529 million USD worth) which is expected to divert water to the southeast dry zone of the country while adding 231 GWh/year electricity to the national grid. The rainfall data for a period of 26 years (1992–2017) were analysed using Mann–Kendall’s test and Sen’s slope estimator test to identify the rainfall trends. Both of these trend analysis test results depict only one negative trend for Hilpankandura Estate for the month of June; however, the seasonal trend analysis and annual trend analysis do not support this observation. Nevertheless, Mann–Kendall’s test showed potential positive trends for the 3 rainfall gauging stations Kirklees Estate, Ledgerwatte Estate, and Welimada Group only in the 1st intermediate period (March-April), and this is well supported by the monthly trend analysis. Other than these trends, the results do not show any significant negative trends in the Uma Oya catchment. Therefore, the results vividly explain that there is no threat of water scarcity to the catchment area being resistant to changing global climate for the past 26 years.
Open Access
A Review on Telecommunication Frauds and Fraud Detection Techniques
(Emerald Publishing, 2022-12-01) Wickramasinghe, Y; Rathnayake, P; Madumal, O; Ramzan, R; Galappaththi, K
Telecommunication fraud is a serious challenge which caused billions of dollars in losses for companies and led to much distress among users. The reported number of frauds has been gradually increasing over the past few years. Hence telecommunication companies tend to use new fraud detection techniques to address the sprawling fraudulent activities. Identification of frauds and application of effective fraud detection techniques are vital for the sustainability of the telecommunication industry. It will drive the industry towards a more credible and profitable direction in the future. This study provides the first systematic literature review on telecommunication frauds and fraud detection techniques. The Prisma method was applied to systematically review the past literature. Using multiple research databases, 1117 research articles were identified, which were screened based on their relevance. 62 articles that were relevant to the study were then analysed in-depth to investigate various types of telecommunication frauds and fraud detection techniques. Results show that the time number of publications is on the rise and citations appear to be saturated at a certain level. The findings emphasise the dire need to investigate fraud happening in developing countries and effective techniques to be implemented to curb fraud. Additionally, a lack of focus on people/qualitative aspects of fraud and detection techniques was identified. The significance of the study is twofold. Researchers could use this study as a steppingstone for future research in telecommunication fraud and fraud detection techniques. On the other hand, Telecommunication companies could refer to this study for understanding fraud and in determining suitable fraud detection method.
Embargo
Screening Tool for Autistic Children
(IEEE, 2019-01-23) Tittagalla, V. Y; Wickramarachchi, R. R. P; Chandrarathne, G. W. C. N; Nanayakkara, N. M. D. M. B; Samarasinghe, P; Rathnayake, P; Pemadasa, M. G. N. M
Autism is a neurological disability that has been caused due to brain abnormality in a person. A person with Autism Spectrum Disorder(ASD) usually has difficulty in social and communication skills. In the past few years there hasn't been a proper way of identifying Autistic children in Sri Lanka. In this research paper, we will discuss how to identify an autistic child by considering mobile application with the following factors. Identify the eye contact, responsiveness to stimulus, analysis of vocal behavioral patterns and questionnaire. The above four factors will be the main key areas in screening process. This tool is created especially for identifying children with autism in rural areas in Sri Lanka. The major three areas eye contact, vocal behavior and responsiveness are the screening process is developed for proof of concept in this research.