Browsing Department of Information and Communication Technology by Title

Browsing Department of Information and Communication Technology by Title

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  • Comparison of Single-Line Rate for Dedicated Protection on WDM Optical Network Topologies 
    Suthaharan, S.; Danusha, S.; Perera, W. A. S. C. (IEEE, 01-12-16)
    Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several nonoverlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
  • Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic 
    Sivakumara, Pirunthavi; Wijikumar, Kularasasingam (Sri Jayawardenapura University of Sri Lanka, 07-05-22)
    This study aimsto identify the impact of digital learningin Sri Lankanstate universities and thecontribution of ICT tothe implementation of digital learningduring theCovid-19pandemic. This study also aimsto investigate ...
  • A Data Mining and Ontology-Based Approach for Predicting the Research Ideas in the Wildlife Sector of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (IIT Ropar, 28-11-20)
    Sri Lanka, is the global biodiversity hotspot, which contains a wide variety of fauna & flora. Also, wildlife is the key player in the tourism industry of Sri Lanka. But still, Sri Lankan wildlife faced many conflicts to ...
  • E-Sign Detector: Image Steganography-Based Employee Identification System 
    Senthooran, V.; Chathuranga, M. T.; Kartheeswaran, T. (IUP Publications, 01-06-16)
    This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a ...
  • An Efficient Bag-of-Feature Representation for Object Classification 
    Vinoharan, Veerapathirapillai; Ramanan, A. (ELCVIA, 16-12-21)
    The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
  • An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images 
    Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)
    Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
  • Fraud Detection Mechanism Using Machine Learning 
    Lojenaa, N.; Nawarathna, R.D. (Rajarata University of Sri Lanka, 30-06-20)
    Banks provide their services to make money transactions and other money-based banking activities. The basic concept of the bank is the transaction of money; it can be either manual or digital through multiple channels. ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...

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