Computer Science: Recent submissions

  • Image Classification of Paddy Field Insect Pests using Gradient-based Features 
    Venugoban, K.; Ramanan, A. (International Journal of Machine Learning and Computing, 2014-02)
    Agriculture is one of the principal economic activities of the Jaffna peninsula in the Northern Province of Sri Lanka. Over 60% of the work force in the peninsula depends on agriculture for their livelihood. Paddy cultivation ...
  • A Wheel-based Side-view Car Detection using Snake Algorithm 
    Vinoharan, V.; Ramanan, A.; Kodituwakku, S.R. (IEEE, 2012-09-27)
    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 ...
  • Single Image Fog Removal based on Fusion Strategy 
    Thulasika, V.; Ramanan, A. (AIRCC, 2015-07-25)
    Images of outdoor scenes are degraded by absorption and scattering by the suspended particles and water droplets in the atmosphere. The light coming from a scene towards the camera is attenuated by fog and is blended with ...
  • Bag-of-keypoints approach for Tamil handwritten character recognition using SVMs 
    Subashini, A.; Kodikara, N.D. (IEEE, 2011-09-01)
    In this paper, the bag-of-keypoints approach for the off-line recognition of Tamil handwritten characters is investigated. Various pre-processing operations are performed on the digitised image to enhance the quality of ...
  • A novel SIFT-based codebook generation for handwritten Tamil character recognition 
    Subashini, A.; Kodikara, N.D. (IEEE, 2011-08-16)
    A method for the off-line recognition of Tamil handwriting characters based on local feature extraction is investigated. In the proposed method each pre-processed character is represented by a set of local SIFT feature ...
  • Tamil Localisation Process – A case study 
    Sarveswaran, K.; Gihan, G. (2009)
    Localisation has become an active area in computer field and many organisations and individuals are localising software into their preferred languages. Different people use different localisation processes to do localisation. ...
  • Challenges in developing MIS – Case from Government sector 
    Sarveswaran, K.; Perera, P.; Samudaya, N.; Asoka, P.; Fernando, P. (2006)
    Management Information Systems (MISs) are used to manage the processes, people, resources, finance, technologies and services of an organisation. An MIS has been developed continuously since 2007 at the University of ...
  • Scalable fault tolerant architecture for complex event processing systems 
    Randika, H.C.; Martin, H.E.; Sampath, D.M.R.R.; Metihakwala, D.S.; Sarveswaran, K.; Wijekoon, M. (IEEE, 2010-10)
    Complex Event Processing (CEP) is one of the fastest emerging fields in computer science. Modern CEP systems which are critical for organizations to maintain their business processes and to achieve excellence through ...
  • A SUCCESSFUL GROWTH OF THE E-LEARNING SYSTEM AT UNIVERSITY OF MORATUAWA 
    Sarveswaran, K.; Perera, G.I.U.S.; Fernando, M.S.D. (Department of Computer Science & Engineering, 2002)
    A successful e-Learning system primarily consists of a Learning Management system and a Content Management system. A Learning Management System addresses the user administration and related managerial requirements. This ...
  • An adaptive technique for handwritten Tamil character recognition 
    Sarveswaran, K.; Ratnaweera, D.A.A.C. (IEEE, 2007-11)
    Handwritten character recognition is playing a vital role in many areas of modern world. Even though considerable research work has been done in handwritten character recognition, comparatively fewer efforts have been made ...
  • Speeded-up and Compact Visual Codebook for Object Recognition 
    Barathy, M.; Ramanan, A.; Mahesan, S.; Pinidiyaarachchi, U.A.J. (International Journal of Image Processing (IJIP), 2013)
    The well known framework in the object recognition literature uses local information extracted at several patches in images which are then clustered by a suitable clustering technique. A visual codebook maps the ...
  • Control chart pattern clustering using a new self-organizing spiking neural network 
    Pham, D.T.; Packianather, M.S.; Charles, E.Y.A. (Proceedings of the Institution of Mechanical Engineers, 2008-10-01)
    This paper focuses on the architecture and learning algorithm associated with using a new self-organizing delay adaptation spiking neural network model for clustering control chart patterns. This temporal coding spiking ...
  • Reproducing opportunistic connectivity traces using connectivity models 
    Thabotharan, Kathiravelu; Pears, A. (ACM New York, NY, USA ©2007, 2007-12-10)
    Opportunistic networking is a new communication paradigm which explores the potential of inter-device contacts due to human mobility [3, 5]. Intermittent connectivity, non existence of an end-to-end path between nodes and ...
  • Towards designing a routing protocol for opportunistic networks 
    Thabotharan, Kathiravelu; Ranasinghe, N.; Perera, A. (IEEE, 2010)
    Intermittently connected opportunistic networks experience frequent disconnections and shorter contact durations. Therefore routing of messages towards their destinations needs to be handled from various points of view. ...
  • An enhanced congestion aware adaptive routing protocol for opportunistic networks 
    Thabotharan, Kathiravelu; Ranasinghe, N.; Perera, A. (IEEE, 2011-08)
    The adaptive routing protocol recently proposed by researchers for opportunistic networks often makes an assumption that when each node makes an intelligent decision of choosing a best forwarder node to route its messages, ...
  • Approaches to P2P Internet Application Development 
    Thabotharan, Kathiravelu; Pears, A. (Computer Science and Information Systems, 2011-09-21)
    Research in overlay and P2P networking has been tightly focused on fundamentals in the last few years, leading to developments on a range of important issues. The time has come to integrate these insights into existing and ...
  • What & when?: Distributing Content in Opportunistic Networks 
    Kathiravelu, T.; Pears, A. (Wireless and Mobile Communications,, 2006)
    Tomorrow's mobile data exchanges will often occur using intermittent connectivity and the design and development of mobility models, applications, protocols and infrastructures are an essential part of future research in ...
  • A level set based deformable model for segmenting tumors in medical images 
    Somaskandan, S.; Mahesan, S. (IEEE, 2012-03)
    Tumor segmentation from medical image data is a challenging task due to the high diversity in appearance of tumor tissue among different cases. In this paper we propose a new level set based deformable model to segment the ...
  • An efficient and speeded-up tree for multi-class classification 
    Ranganathan, P.; Ramanan, A.; Niranjan, M. (IEEE, 2012-09)
    Support vector machine is a state-of-the-art learning machine that is used in areas, such as pattern recognition, computer vision, data mining and bioinformatics. SVMs were originally developed for solving binary classification ...
  • A Review of Codebook Models in Patch-Based Visual Object Recognition 
    Ramanan, A.; Niranjan, M. (Springer Science+Business Media, LLC, 2011)
    The codebook model-based approach, while ignoring any structural aspect in vision, nonetheless provides state-of-the-art performances on current datasets. The key role of a visual codebook is to provide a way to map the ...