Browsing by Author "Wimalaratne, G"

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BlindAid - Android-based Mobile Application Guide for Visually Challenged People
(IEEE, 2021-12-06) Senarathne, G; Punchihewa, D; Liyanage, D. I; Wimalaratne, G; De Silva, H
Millions of people across the world are affected by visual impairments. The proposed application is designed for visually impaired people consists of three components which are face recognition with emotion, obstacle identification through distance measurement, extract and convey critical information like text, labels, and currency details. Most works reported in the literature depends on the availability of specific hardware. The proposed proof of concept prototype aims to make visually impaired people more independent and carry out tasks conveniently and safely.
Embargo
BlindAid-Android-based Mobile Application Guide for Visually Challenged People
(IEEE, 2021-10-27) Senarathne, G; Punchihewa, D; Liyanage, D. I; Wimalaratne, G; De Silva, H
Millions of people across the world are affected by visual impairments. The proposed application is designed for visually impaired people consists of three components which are face recognition with emotion, obstacle identification through distance measurement, extract and convey critical information like text, labels, and currency details. Most works reported in the literature depends on the availability of specific hardware. The proposed proof of concept prototype aims to make visually impaired people more independent and carry out tasks conveniently and safely.
Embargo
Intelligent System for Skin Disease Detection of Dogs with Ontology Based Clinical Information Extraction
(Institute of Electrical and Electronics Engineers Inc., 2022-10-29) Rathnayaka, R. M. N. A; Anuththara, K. G. S. N; Wickramasinghe, R.J.P; Gimhana, P. S; Weerasinghe, L; Wimalaratne, G
The largest organ in dogs, the epidermis, is crucial in supplying immunological responses. Skin will preserve all the nutrients and safeguard the cells while warding off harmful or pathogenic substances. Most dog owners today are not aware that their pet dog has a skin condition. Although they were aware of these ailments, they had no notion of how to cure them. In such a situation, the dog may experience pain and an aggravation of the condition. Owners should therefore take their dogs to the vet, even if the skin condition is minor. It can, however, be a costly procedure. There aren't many forums where dog owners may get advice from professionals and ask inquiries regarding their pets. The solution suggests a fully functional mobile application which is a combination of disease identification feature, disease severity level detection feature, domain specific knowledge base with semantic web development and a domain specific AI based chat-bot to the dog owners to overcome this problem using Convolutional Neural Network (CNN) and natural language processing (NLP).System will extract the necessary features from the images of the lesion to classify the skin condition and Severity level of the disease. The results obtained show disease type classification is within the accuracy range of 77.78% to 100% which tested again 4 CNN base models. As for the severity level identification accuracy situated around 99.62%.
Embargo
Language skills with mouse clicks
(IEEE, 2009-04-03) Wickramarathne, J; Wimalaratne, G; Goonetilleke, V; Kapurubandara, M
Information, processed from Knowledge, occupies center stage in this era and literacy in English is vital to deal with this information towards challenges of this digital age. A sound knowledge of English proves essential for success or prosperity not only to the dasiatechno-richpsila but also to nations struggling to meet demands of globalised economies requiring accessing and filtering such information. Information Communication Technologies (ICT) has surfaced as a benefactor towards acquisition of language skills in English to tackle challenges in education. Using ICT, it is found that adaptive and blended learning in English could contribute much towards proficiency in English, illuminating the lead to the information highway towards advancement in the knowledge economy. Where adaptive learning allows for a continuation of learning from a position, blended learning combines traditional classroom teaching with learning online or through a computer screen. Taken together, adaptive, blended learning encourages progress from a stagnant position through new technologies developed for a self-access approach. Blended learning, combining online learning and traditional approaches helps with self-learning processes. Overall, blended learning allows for mass customization with Web 2.0 and social networking, currently in vogue. Learning materials or dasialearning objectspsila used for social networking with Web 2.0, lend much support to online learning in English towards self or peer learning, working collaboratively in small groups or participating in interactive classroom sessions. This paper highlights attempts towards improving language proficiency in English of tertiary level students on the threshold of graduate courses, using a blended, adaptive learning process with Web 2.0.
Embargo
SMART DIARY: Autonomous System for Daily Diary Creation and Prioritization of Daily Activities for Improved Well-Being Using Neural Networks and Machine Learning
(IEEE, 2022-12-09) Abraar, S.F.M.; Thuduhenage, D.T.; Balasubramaniyam, V.P.; Mohanraj, S.R.; Wimalaratne, G; Rajapaksha, S
In the present world, the IT (Information Technology) industry is so advanced that it has opened many opportunities to communities with numerous roles. Even though the industry is growing day by day and providing more opportunities, it has had serious effects on human well-being. If a person fails to control the demands of work or study, such as tasks with higher complexity, an unmanageable workload, pressure, enduring conflicts within the team, and other physical and emotional demands, it could lead that person to exhaustion, anxiety, and stress. Such factors can affect the health of a person in an extremely negative way. The proposed topic “Smart Diary: Auto generation of diary and Prioritization of Daily Activities for Improved Well-Being” is a solution for people with uncontrolled job demands and busy work schedules. This helps to keep track of day-to-day life activities and review them to make better plans for the future. It also helps the user prioritize their daily tasks and provides suggestions for people who are stressed and showcasing negative emotions based on text analysis.