https://ir.kdu.ac.lk/handle/345/3880 2026-04-06T12:55:06Z 2026-04-06T12:55:06Z Gunarathne, KAAB Jayasena, KPN https://ir.kdu.ac.lk/handle/345/3297 2023-04-26T11:34:52Z 2020-01-01T00:00:00Z

Monitoring mental health of Sri Lankan youngsters during COVID 19 with passive mobile sensing Gunarathne, KAAB; Jayasena, KPN; Smartphones are the key things that offer the collection of behavioral data without knowing the users because it is the most closest and frequently used accessory of daily life. The youngsters in Sri Lanka who are suffering from mental illnesses are not aware of their disease as well as the symptoms. In this article, our main aim is to monitor the behavior of the young people in Sri Lanka at the time of COVID 19, and come up with an analysis of the mental health status and about the symptoms of mental disorders that they are showing. Data can be collected in various ways like, from the default sensors and questioners. Mobile phone usage patterns like the duration of time spent at various locations are the factors that may provide evidence for their behavior. In addition, the daily activities like physical activity and sleep are also affected by these defined mental disorders in this pandemic time. We hope that we could provide the sufficient remedies for those who suffer from mental disorders during COVID 19 with the use of data collected through the sensors and surveys. We ensure the security features when receiving the sensitive data. We think through smartphone sensing, we could contribute to avoiding obstacles in behavioral studies specially in the area of mental health detection.

2020-01-01T00:00:00Z Rathnayake, BMTN De Silva, Indika Senavirathne, Bhanuka https://ir.kdu.ac.lk/handle/345/3040 2023-04-26T10:59:57Z 2020-01-01T00:00:00Z

Feasibility Study of Hologram Gamification in Sri Lankan Higher Education Distance Learning Rathnayake, BMTN; De Silva, Indika; Senavirathne, Bhanuka When a global pandemic occurs, every industry faces the risk of unable to continue their usual processes and must go to business process continuity with instant change management. Considered the education industry also need an alternative solution to keep moving without failure. As experienced in such case distance learning is the best solution to conduct lessons. But the issue with normal distance learning is the learner's interactivity with lessons. To improve learners' interactivity with the help of technological advancement, higher education needs to deploy innovative teaching-learning methods including games, simulations, and holograms. Meanwhile, researches have proven that learning is not only a response to delivery but more than an active, constructive, cognitive, and social process by which the learner strategically manages the cognitive, physical, and social resources to build their knowledge. To enhance these aspects gamification can be a great deal, and which provides users with instant access to vast amounts of information without effort regardless of geographical or economic boundaries. Holographic technology might be another resource that could change the way to create and share knowledge. Gamification has been using for the learning and teaching process, but the hologram projection for learning is still new to the education industry but it has the potential to revolutionize aspects of teaching and learning experience. The sole purpose of this review study is to determine whether learners would perceive the gamification activities inbound with hologram technology positively and will it help to enhance the interactivity in the teaching-learning process. Finally, increase the engagement of the distance learning process. To gain this outcome must study the feasibility of gamification in line with hologram technology regarding achieving distance learning objectives.

2020-01-01T00:00:00Z Ranasinghe, RM Ilmini, WMKS https://ir.kdu.ac.lk/handle/345/3039 2023-04-26T11:01:07Z 2020-01-01T00:00:00Z

Introducing a LSTM based Flood Forecasting Model for the Nilwala river basin with a Mobile Application – a Review Ranasinghe, RM; Ilmini, WMKS Flooding is one of the most devasting natural disasters in the world. The impact of flooding is damage to property, Agriculture, Infrastructure of a country and destroy human life. Flood Forecasting models and proper awareness about floods, sufficient communication between the flood victims and the responsible authorities are important to safeguard the life of human and the infrastructure of a country. This paper contains review of different Machine Learning methods and Algorithms like Artificial Neural Networks (ANN), Support Vector Machine (SVM), Multilayer Perception (MLP), Convolution Neural Networks (CNN) and Long Short-Term Memory (LSTM) which are used to forecast floods. Long Short-Term Memory is one of the Recurrent Neural Network models to forecast Flood. According to the reviewed literature Long Short-Term Memory networks are better than ANN, MLP and SVM because Long Short-Term Memory models can learn long-term patterns better.

2020-01-01T00:00:00Z Keerthiwardane, SS Wijethunga, IA https://ir.kdu.ac.lk/handle/345/3037 2023-04-26T11:18:15Z 2020-01-01T00:00:00Z

ATM Detail protection using Geofence Technology Keerthiwardane, SS; Wijethunga, IA GPS technology enable devices to utilize the location information, geofence technology is a novel technology which implement an area with a certain radius and get information trough it. This paper represent how we can use geofence technology to improve existing security mechanism relevant to ATM systems. Current security mechanism for ATM system is pin-based authentication. Which doesn.t provide expected outcome. It has been currently facing many threats due to fraud activities perform by attackers. Proposed system will provide much more accurate procedure compare to the existing system.

2020-01-01T00:00:00Z