Browsing by Author "Hirshan, R."

Now showing 1 - 2 of 2

Creating a Sri Lankan Micro-Emotion Dataset for a Robust Micro-Expression Recognition System
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Jayakodi, J. A. L. P.; Jayamali, G. G. S. D.; Hirshan, R.; Aashiq, M. N. M.; Kumara, W. G. C. W.
In interpersonal communication, the human face provides important signals of a person’s emotional states and intentions. Furthermore, micro-emotions play a major role in understanding hidden intentions. In psychological aspects, detecting micro-emotions play a major role. In addition, lie detection, criminal identification, and security systems are other applications, where detecting micro-emotion accurately is essential. Revealing a micro-expression is quite difficult for humans because people tend to conceal their subtle emotions. As a result, training a human is expensive and time-consuming. Therefore, it is important to develop robust computer vision and machine learning methods to detect micro-emotions. Convolutional Neural Network (CNN) is the most used deep learning-based method in recent years. This research focuses on developing a 3D-CNN model to detect and classify Micro-emotions and creating a local Micro-emotion database. From the related research work we have considered this is the first attempt made at creating a Sri Lankan micro-emotion dataset. Having a local micro-emotion dataset is essential in formulating more accurate real-time applications focused on deep learning methods. Therefore, in this research, our main objective is to create a Sri Lankan micro-emotion database for future micro-emotion recognition and detection research.
Intelligent changeover solution for a domestic hybrid power system
(Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020) Herath, H.M.R.M.; Tharindu, K.H.S.; Fernando, K.D.M.; Alahakonn, P.M.K.; Hirshan, R.
Electricity plays a major role in the modern world as almost all the equipment used is operated using electricity. Electricity demand of the world is increasing day by day and there should be a proper mechanism to meet the growing demand and to improve the efficiency of the power systems while continuously providing power with less environmental effects. This paper presents a changeover solution for a solargrid hybrid power system that directly focuses on efficiently utilize the power sources by automatically selecting the power source according to the required power demand. Already available automatic power changeover switches in the market are only capable of selecting one source when the other source is not available. They cannot switch the power source considering the power demand. The novelty of this solution is, it can efficiently select the power source considering the apparent power demand of the house.