DSpace Repository

Browsing Computer Science by Issue Date

Browsing Computer Science by Issue Date

Sort by: Order: Results:

  • 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 ...
  • 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 ...
  • 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 Novel Self-Organised Learning Model with Temporal Coding for Spiking Neural Networks 
    Pham, D.T; Packianather, M.S; Charles, Eugene Yougarajah Andrew (Elsevier Ltd, 2006-07)
    This chapter proposes a novel self-organized learning model with temporal coding for a network of spiking neurons, which encode information through the timing of action potentials. The development of this learning model ...
  • A self-organising spiking neural network trained using delay adaptation 
    Pham, D.T; Packianather, M.S; Charles, Eugene Yougarajah Andrew (IEEE, 2007-06)
    This paper proposes a self-organising delay adaptation spiking neural network model for clustering control chart patterns. This temporal coding spiking neural network model employs a Hebbian-based rule to shift the connection ...
  • Unbalanced decision trees for multi-class classification 
    Ramanan, A.; Suppharangsan, S.; Niranjan, M. (IEEE, 2007-08)
    In this paper we propose a new learning architecture that we call Unbalanced Decision Tree (UDT), attempting to improve existing methods based on Directed Acyclic Graph (DAG) [1] and One-versus-All (OVA) [2] approaches to ...
  • 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 ...
  • 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 ...
  • Control chart pattern clustering using a new self-organizing spiking neural network 
    Pham, D.T; Packianather, M.S; Charles, Eugene Yougarajah Andrew (IMechE, 2008)
    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 ...
  • Control chart pattern clustering using a new self-organizing spiking neural network 
    Pham, D. T.; Packianather, M.S.; Charles, Eugene Yougarajah Andrew (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 ...
  • 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. ...
  • Sequential hierarchical pattern clustering 
    Farran, B.; Ramanan, A.; Niranjan, M. (Springer Berlin Heidelberg, 2009-09-07)
    Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed ...
  • Resource-allocating codebook for patch-based face recognition 
    Ramanan, A.; Niranjan, M. (IEEE, 2009-12)
    In this paper we propose a novel approach to constructing a discriminant visual codebook in a simple and extremely fast way as a one-pass, that we call Resource-Allocating Codebook (RAC), inspired by the Resource Allocating ...
  • 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. ...
  • A one-pass resource-allocating codebook for patch-based visual object recognition 
    Ramanan, A.; Niranjan, M. (IEEE, 2010)
    Frequencies of occurrence of low-level image features is the representation of choice in the design of state-of-the-art visual object recognition systems. A crucial step in this process is the construction of a codebook ...
  • 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 ...
  • Robust invariant descriptors for visual object recognition 
    Barathy, Ganesharajah; Mahesan, Sinnathamby; Pinidiyaarachchi, U.A.J (IEEE, 2011)
    In the state-of-the-art visual object recognition, there are a number of descriptors that have been proposed for various visual recognition tasks. But it is still difficult to decide which descriptors have more significant ...
  • 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 ...
  • Content Based Image Retrieval: An overview of structure of the image and image database 
    Barathy, Ganesharajah; Mahesan, Sinnathamby; Pinidiyaarachchi, U.A.J. (SLIIT, 2011-01-27)
    There are a number of challenging problems in Content Based Image Retrieval (CBIR) particularly on structure of the image and image database. Separating an image into its constituent parts is a major task in this area. In ...
  • 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, ...