Browsing by Author "Subashini, L.D.C.S."

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    Intelligent Collaborative E-Learning Solution for Knowledge Improvement of Secondary Education in Sri Lanka
    (Uva Wellassa University of Sri Lanka, 2010) Jayanetti, D.J.J.; Subashini, L.D.C.S.
    Secondary schools in Sri Lanka lack reference books and learning materials. The problem has prevailed for quite some time now, causing inequalities in accessing learning materials among students and teachers. Therefore, students' performance at the national examination level has been seriously affected. Moreover there are many differences between students' abilities, interests, achievements, preferences and learning behaviors. Some need a challenging class for promoting their levels. Some of them want to keep to the working routine whileothers need to be taught very slowly. Introduction of collaborative e-learning system helps to minimize these problems of secondary education in Sri Lanka. This collaborative e learning system helps to students to learn at their own pace. Constructing knowledge by collaborative learning and discussions with friends helps to solve their problem immediately. Primary goal of the research is to perform personalizing of distance education system, according to the learning styles of students. Main steps and requirements in applying business intelligence techniques in process of personalization are identified. Data mining concerns with developing methods for discovering knowledge from data that comes from educational environment. In this research data mining was used to analyze users' performance. First students' data were collected from database. After preprocessing the data, data mining techniques were applied to discover student clusters. According to the clusters we can identify the group of students who are belowthe knowledge level and who are in the high knowledge level. After identifing that, administrator can help them to improve their knowledge levels. Key words: Data-mining, clusters
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    Rice Quality Classification Using Artificial Neural Network
    (Uva Wellassa University of Sri Lanka, 2010) Nanayakkara, N.P.M.; Subashini, L.D.C.S.
    This project presents an improved method for classification of foreign bodies mixed rice grain image samples using a Neural Network Approach. Today competitive market rice contains many foreign bodies. To solvethis problem only visual inspection is performed. In manual system human inspectors look at the foreign bodies in the samples and evaluate the grades for rice. Neural Network system automatically determines the amount of foreign bodies present in rice grains. Thresholding technique is used to identify foreign bodies. Samba rice type was considered in this study. Feature extraction concept to collect information in images was used. Features are extracted using gray level co occurrence matrix method. The multilayer feed forward neural network is developed to classify rice grain images. Key words: Neural Network, Classification
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    Smart Task System
    (Uva Wellassa University of Sri Lanka, 2010) Ajanthan, S.; Subashini, L.D.C.S.
    In this fast moving world, time is very important factor in each and every activities and movements. People are working with tight schedule of estimated time in developed industries. The employed time measurement is an essential requirement for companies. This system has several privileges such as administrator, manager, and users. Time tracking and project monitoring allows the organization to catch problems early and gives it some heads-up time to actually fix them. And it is the triad of planning, tracking and learning that allows the organization to get better at estimating and executing on their projects with every project they do. Time Tracking system works over the Internet. It is handling by client using web services. Key words: Time measurement, Time Tracking system