Browsing Faculty of Technological Studies by Title

Browsing Faculty of Technological Studies by Title

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  • Keypoints and Codewords Selection for Efficient Bag-of-Features Representation 
    Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (Springer, 05-04-18)
    Bag-of-features (BoF) representation is one of the most popular image representations, that is used in visual object classification, owing to its simplicity and good performance. However, the BoF representation always faces ...
  • LOSSY IMAGE COMPRESSION USING FREEMAN CHAIN CODE REPRESENTATION 
    Somasundaram, S.; Niranjan, V.; Pujinthan, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    In this study, we suggested an algorithm that made use of a Freeman chain code-based compression technique. The method consists of two segments such as compression and decompression. The first is a compression algorithm ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Pirunthavi, S.; Vithusia, R.P.; Abishankar, K.; Ekanayake, E.M.U.W.J.B.; Yanusha, M. (Uva Wellassa University of Sri Lanka, 30-07-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director, and production ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Sivakumar, Pirunthavi; Rajeswaren, Vithusia Puvaneswaren; Abishankar, Kamalanathan; Ekanayake, E.M.U.W.J.B.; Mehendran, Yanusha (Faculty of Management and Commerce South Eastern University of Sri Lanka, 29-12-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director and production ...
  • Naive Bayes Algorithm for Large Scale Text Classfication 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Popular Science Press, 31-12-21)
    This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube. YouTube contains large unstructured and unorganized comments and reactions, which carry important ...
  • One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification 
    Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (IEEE, 21-12-18)
    In a patch-based object classification system, one of the most popular image representation approach is the bag-of-features (BoF) representation. However, the number of patch-based features extracted from images to create ...
  • An Ontology based Data Mining approach for predicting the research ideas using past research in the wildlife sector of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (General Sir John Kotelawala Defence University, 16-10-20)
    Sri Lanka being a global biodiversity hotspot, places great value for biodiversity owing to ecological, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due to several ...
  • Ontology Based Machine Learning Approach to Automatic Labelling for Research Papers on Wildlife of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (University of Kelaniya, 28-11-20)
    Sri Lanka, being a global biodiversity hotspot, places great emphasis on biodiversity from an ecological perspective, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due ...
  • Predicting an Optimal Sri Lankan Cricket Team for ODI Matches According to the Nature of the Game 
    Perera, W.A.S.C.; Caldera, H.A. (Psychosocial, 01-02-20)
    This paper focuses on predicting an optimal Sri Lankan cricket team for One Day International (ODI) matches according to the nature of the game. In general, the team selection process in ODI is based on performance measures ...
  • Predicting ratings of YouTube videos based on the user comments 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 15-09-21)
    This project attempted to develop a model to predict the rating of a YouTube video based on the user comments. We extracted the user comments from many YouTube videos to make the sentimental analysis. The keywords were ...
  • “Predicting the Future Research Gaps Using Hybrid Approach: Machine Learning and Ontology 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (Barbara Jane Holland (Brooklyn Public Library, USA (retired) & Independent Researcher, USA), 31-05-21)
    Sri Lanka is one of the global biodiversity hotspots that contain a large variety of fauna and flora. But nowadays Sri Lankan wildlife has faced many issues because of poor management and policies to protect wildlife. The ...
  • QUALITY PREDICTION OF WATERMELON USING RANKING FEATURE SELECTION METHODS AND MACHINE LEARNING ALGORITHMS 
    Pirunthavi, W.; Sharnitha, T.; Mayuran, P. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    This study was performed on the aim of detecting the quality of the watermelon with eight features; sound, color, root, belly button, texture, sugar rate, density, and touch which were obtained from the Kaggle website. Two ...
  • Resource Efficiency for Dedicated Protection in WDM Optical Networks 
    Suthaharan, S.; Samarakkody, D.; Perera, W.A.S.C. (Faculty of Computing and Technology, University of Kelaniya, 25-11-16)
    The ever increasing demand for bandwidth is posing new challenges for transport network providers. A viable solution to meet this challenge is to use optical networks based on wavelength division multiplexing (WDM) technology. ...
  • A REVIEW ON ASSESSING STRESS METHODS USING MACHINE LEARNING AND WEARABLE SENSORS 
    Kasuni Piyumika, Y.A. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Stress is one kind of response to pressure. It can be good according to the situation. Stress management is a very important criterion now because it keeps up one’s stress level low, and health at risk. There can have ...
  • SECURE LIGHTWEIGHT NFV ARCHITECTURE ANALYSIS FOR IOT EDGE COMPUTING 
    Raveenthiran, S. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    The IoT is a massive trend within an industry. Its exponential expansion in cloud computing creates new problems. NFV has solutions enabling service providers to scale the networks, integrate intelligence into those networks, ...
  • Underwater Rover using IoT to Track Objects and Organisms under the Water 
    Thivaharan, S.; Suparoopan, S.; Gopy Prasath, S.; Sanoj, S.; Dinojen, T.; Amrithaa, P.; Lojenaa, N.; Kartheeswaran, T. (Faculty of Technological Studies, University of Vavuniya, 2022-10-04)
    Since the underwater world is so complicated, monitoring the underwater has always been challenging. A successful underwater robotic technology could aid the discovery of many hidden insights. This may also facilitate the ...
  • Usability and Accessibility Analysis of Online Banking Systems in Sri Lanka 
    Yanusha, M.; Kartheeswaran, T.; Lojenaa, N. (IEEE, 13-12-18)
    With the wide expansion of internet usage in Sri Lanka, e-banking is bucking the trend amongst the banking sectors and the customers. Since the online banking systems are the critical source of information for all kind of ...
  • Visual Speech recognition for Sinhala language using CNN 
    Jayarathne, W.M.U.; Perera, W.A.S.C.; Ketheesan, T. (Faculty of Science, University of Ruhuna, 17-02-21)
    Visual Speech Recognition (VSR) is an essential tool that is facilitating to understand the speech from the video by the visually impaired people. Moreover, VSR play an important role in analyzing the CCTV footage for a ...
  • A Wheel-based Side-view Car Detection using Snake Algorithm 
    Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam; Kodituwakku, Saluka R. (IEEE, 27-09-12)
    Car detection is a challenging research area where the appearance has various changes due to different models, poses, scales, lighting conditions, background, occlusion and various image sizes. Amidst these external ...

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