https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4304 Sun, 26 Apr 2026 22:24:32 GMT 2026-04-26T22:24:32Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4519 Title: Web Based Printing Job Management System Authors: Senarathne, K. M. G. Abstract: No Abstract Wed, 11 Aug 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4519 2021-08-11T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4518 Title: IT Ticketing System with a Chatbot Authors: Sanjeewa, W.G.A.G.P. Abstract: No Abstract Wed, 11 Aug 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4518 2021-08-11T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4517 Title: Mental State Recognition and Recommendation of Aids to Stabilize the Mind Using Wearable EEG Authors: Wijesuriya, M.W.A.A. Abstract: Emotions play an important role in the physical activities and mental health of the human. The ability to correctly determine and interpret the mental state of a person would offer new opportunities for medical and non-medical purposes. With the fast-evolving technology and the improvements in the field of emotion recognition, numerous studies have been carried out to overcome the challenges faced during the emotional recognition. The purpose of this project is to develop a solution to recognize the current mental state of a person by analyzing Electroencephalogram (EEG), which capable of detecting the electrical activity of the brain in real-time and determine five different emotions: happiness, sadness, calm, fear, and neutral emotions. Further, the presented web application provides the best remedy to balance an unstable mindset based on the emotional state determined. Dataset has collected from 33 participants including both males and females at the age between 20-50 years. EEG signals were acquired from each participant using EEG-headband called Muse in a quiet-controlled environment. Participants were advised to watch a five minutes video clip which consists of five videos in sequence, which allocated one minute for each class of mental state and the collected datasets were used for both train and test for different emotions after applying proper pre-processing techniques. The set of features is selected from the EEG data and applied different feature selection algorithms and mental state classification algorithms to compare their recognition accuracy and performance. From the tested multiple classification methods, the Random forest classifier achieved a maximum prediction accuracy of 87.12% and used to mental state recognition. Mood, the web-based application is developed to obtain the current mental state while prompting the best set of remedies based on user feedback collected. Wed, 11 Aug 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4517 2021-08-11T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4516 Title: Implementation of online motor traffic violation management system Authors: Wickramasinghe, S.T. Abstract: In Sri Lanka, traffic violation is becoming a very bad impact on society. In 2013 all registered vehicles were almost 5,204,000. But in 2017 it has increased up to 7,247,122. So with the increase in vehicles, traffic violations also become high. With this hectic lifestyle, drivers have to spend more time and money to pay traffic fines. And with this paper-based system, Sri Lanka police are getting complicated to analyse traffic violation data. This web-based system is connected with higher police officers in Sri Lanka police department, traffic police officers, RMV officers and citizens in Sri Lanka. This system helps to connect these parties together and make traffic fine payment more easy and accurate. In addition to that, with the help of the system police officers can add/update police fine details and generate reports. The system gathers traffic violation data and keeps a track of each of the records. The system keeps an image of the License. With respect to the state of the traffic violation, the police officer may produce a guilty party into the courts. In this scenario, the system keeps all the court records. This web-based system has developed from PHP with MySQL. In addition to that major technologies, the system used Bootstrap, Ajax and javascript front end designing technologies also. The NIC or License number is enough to get the history of a traffic violation. In addition to that, the guilty party can pay the fine via the system. The system was successfully tested and verified by regression, functional, stress and security testing. These testing results were used to make the system improvement. Wed, 11 Aug 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4516 2021-08-11T00:00:00Z