Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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Now showing 1 - 10 of 11
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    PublicationOpen Access
    Design, Implementation, and Performance Evaluation of a Web-Based Multiple Robot Control System
    (Hindawi, 2022-05-30) Rajapaksha, U. U. S; Jayawardena, C; MacDonald, B. A
    Heterogeneous multiple robots are currently being used in smart homes and industries for different purposes. The authors have developed the Web interface to control and interact with multiple robots with autonomous robot registration. The autonomous robot registration engine (RRE) was developed to register all robots with relevant ROS topics. The ROS topic identification algorithm was developed to identify the relevant ROS topics for the publication and the subscription. The Gazebo simulator spawns all robots to interact with a user. The initial experiments were conducted with simple instructions and then changed to manage multiple instructions using a state transition diagram. The number of robots was increased to evaluate the system’s performance by measuring the robots’ start and stop response time. The authors have conducted experiments to work with the semantic interpretation from the user instruction. The mathematical equations for the delay in response time have been derived by considering each experiment’s input given and system characteristics. The Big O representation is used to analyze the running time complexity of algorithms developed. The experiment result indicated that the autonomous robot registration was successful, and the communication performance through the Web decreased gradually with the number of robots registered.
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    PublicationEmbargo
    An Efficient Ocular Disease Recognition System Implementation using GLCM and LBP based Multilayer Perception Algorithm
    (IEEE, 2022-08-03) Rathnayake, N; Mampitiya, L. I
    This research study is focused on the classification of ocular diseases by referring to a well-known dataset. The data is divided into seven classes: diabetes, glaucoma, cataract, normal, hypertension, age-related macular degeneration, pathological myopia, and other diseases/abnormalities. A Neural Network is used for the classification of diseases. In addition, the GLCM and LBP feature extracting methods have been used to carry out the feature extraction for the fundus images. This study compares five different ocular disease recognizing techniques. Moreover, the proposed model was evaluated regarding precision, recall, and accuracy. The proposed solution outperformed existing state-of-the-art algorithms, achieving 99.58% accuracy.
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    PublicationOpen Access
    Design, Implementation, and Performance Evaluation of a Web-Based Multiple Robot Control System
    (Hindawi, 2022-05-30) Rajapaksha, U. U. S; Jayawardena, C; MacDonald, B. A
    Heterogeneous multiple robots are currently being used in smart homes and industries for different purposes. The authors have developed the Web interface to control and interact with multiple robots with autonomous robot registration. The autonomous robot registration engine (RRE) was developed to register all robots with relevant ROS topics. The ROS topic identification algorithm was developed to identify the relevant ROS topics for the publication and the subscription. The Gazebo simulator spawns all robots to interact with a user. The initial experiments were conducted with simple instructions and then changed to manage multiple instructions using a state transition diagram. The number of robots was increased to evaluate the system’s performance by measuring the robots’ start and stop response time. The authors have conducted experiments to work with the semantic interpretation from the user instruction. The mathematical equations for the delay in response time have been derived by considering each experiment’s input given and system characteristics. The Big O representation is used to analyze the running time complexity of algorithms developed. The experiment result indicated that the autonomous robot registration was successful, and the communication performance through the Web decreased gradually with the number of robots registered.
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    PublicationOpen Access
    Design and Implementation of Data Warehouse for a Higher Educational Institute in Sri Lanka
    (IEEE, 2021-04) Serasinghe, C. U; Jayakody, C; Dayananda, K. T. M. N; Dinesh Asanka, P. P. G
    In any organization, the leadership is responsible for taking decisions that will lift the said organization to a better place. The problem-solving abilities of the management are mostly depending on the ability to grasp all the required information in a clean and actionable format. Building a well-designed data warehouse leads to answer that problem. When data sourced from different sourcing systems, it's very important that the aggregated data is relevant and supporting the decision-making by the leadership. This study aims at mitigating the issues that are hindering such organizations to make correct decisions.
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    PublicationEmbargo
    Sinhala Sign Language Interpreter Optimized for Real–Time Implementation on a Mobile Device
    (IEEE, 2021-08-11) Dhanawansa, I. D. V. J; Rajakaruna, R. M. T. P
    This paper proposes a framework for a vision based Sinhala Sign Language interpreter targeted for implementation on a portable device, optimized for real-time use. The translator is aimed at enabling conversation between a hearing-impaired and a non-signing individual. The scope covers both static and dynamic signs, portrayed using the right hand. Skin segmentation and contour extraction followed by a combination of hand detection and tracking algorithms isolate the signing hand against varied background conditions. A Convolutional Neural Network model was developed to extract and classify the features of the chosen static signs. A standard, expandable dataset of Sinhala static signs was prepared for this task. Dynamic signs were modeled as a tree data structure using a sequence of static signs. The model was optimized using motion based temporal segmentation between consecutive signs, to minimize the processing overhead. The interpreter recorded an average accuracy of 99.5% and 81.2% on the static sign dataset, and combined dataset of static and dynamic signs, respectively. A response time of333 ms was resulted between the occurrence and prediction of a sign, demonstrating the effectiveness of the framework for real-time use.
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    PublicationEmbargo
    Trustworthy MANET routing ESTAODV implementation
    (IEEE, 2018-12-21) Rupasinghe, L; Nawarathna, C; Niroshan, M. A. J; Kodithuwakku, K. A. H; Kularathna, M. A. S. H; Liyanage, S. C. G
    Mobile Ad hoc networks (MANETs) are a collection of mobile nodes which can move randomly and communicate with each other wirelessly with a dynamic topology. Frequent topological changes are happened in the network because of this dynamic nature. MANETs are popularly used for unmanned systems and networks where telecommunication is absent. Providing security in Mobile Ad hoc Network has become a crucial problem due to the unpredictable motions of misbehaving network nodes. Therefore, a security mechanism is required to distinguish between trustworthy and malicious nodes. Secured routing has become the most active research area in the MANET field due to these challenges and the significances. In this article, a trust-based MANET routing model is proposed to detect misbehaving nodes over Ad hoc On-Demand Distance Vector (AODV) routing protocol. Trust is calculated based on the previous individual experiences and the recommendations of other neighbor nodes. Trust Recommendation Request (TRR) protocol which allows nodes to exchange recommendations regarding their neighbors is introduced in this proposed model. In order to identify malicious nodes, nodes are categorized into trust levels. After detecting malicious nodes, they will be isolated from the network and broadcasted to their neighbor nodes. As a result, network nodes will be able to use the most secure route for packet transmission instead of the shortest path.
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    PublicationEmbargo
    Managing the implementation of IT projects in SMEs: An exploratory investigation
    (IEEE, 2006-12-06) Suraweera, T; Pulakanam, V; Guler, O
    The implementation of IT projects such as acquiring and implementing accounting software systems has become widespread among small and medium sized enterprises (SME). Invariably the SMEs face numerous difficulties, especially at the initial stages of IT project implementation. Using case study approach, this paper explores the nature of and the processes related to managerial aspects of accounting software systems implementation projects in SMEs. The results provide valuable insights to the project management processes with respect to the implementation of software applications in the SMEs.
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    PublicationEmbargo
    IT driven banking services in Sri Lanka: customer acceptance and service quality
    (IEEE, 2006-12-06) Suraweera, T; Pulakanam, V; Guler, O
    The implementation of IT projects such as acquiring and implementing accounting software systems has become widespread among small and medium sized enterprises (SME). Invariably the SMEs face numerous difficulties, especially at the initial stages of IT project implementation. Using case study approach, this paper explores the nature of and the processes related to managerial aspects of accounting software systems implementation projects in SMEs. The results provide valuable insights to the project management processes with respect to the implementation of software applications in the SMEs.
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    PublicationOpen Access
    Slrouting: Server link router state routing protocol design and implementation
    (acm.org, 2015-11-18) Wijekoon, J; Nishi, H
    Packet propagation delay reduction is becoming the primary concern of the Internet. Internet service providers (ISPs) attempt to optimize packet routing to offer the best route to their subscribers by achieving desired network performance. Consequently, a route computation metric that uses packet propagation delay instead of link state will be a strong incentive for ISP routing optimization, in which case ISPs could ensure minimal delay route paths for their subscribers. To this end, we present SLRouting, a novel Interior Gateway Routing Protocol. SLRouting calculates a composite route metric using packet waiting delays of servers and routers as well as the packet propagation delay of network links. SLRouting computes the route matrix by selecting the minimal delay path for destination networks. This paper presents the first version of the SLRouting including its theory, design, and implementation notes. A prototype of the proposed protocol is implemented using the ns-3 simulator, and the results were used to evaluate the proposed protocol.
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    PublicationEmbargo
    Service-Oriented Router-Based CDN System: An SoR-Based CDN Infrastructure Implementation on a Real Network Environment
    (IEEE, 2013-07-22) Wijekoon, J; Ishida, S; Harahap, E; Nishi, H
    Internet users are constantly demanding faster and higher quality services from their internet service providers. Therefore, for fast data delivery of such applications, Content Delivery Networks (CDNs) have been introduced. Most CDN providers use Domain Name Resolution (DNS) based request routing (RR) methods to find the nearest server for a particular client and it has both advantages and disadvantages. Importantly, disadvantages result high latencies of data delivery and network congestions. To maintain rich information in the Internet and to shift the current Internet infrastructure to an information-based open environment platform, Service-oriented Routers (SoRs) have been introduced. An SoR has a high-throughput database and it is able to analyze all transactions on its interfaces. Therefore, we have used the basic functionalities of the SoR to diminish disadvantages of the DNS-based RR methods. Proposed system is independent from DNS-based RR and we have conducted experiments based on content-centric RR using the SoR basic functionalities and successfully evaluated and compared both of the round trip time (RTT) and the packet inter arrival time. Our results indicated that SoR-based method can reduce upto 40-50% latency in both connection initiation time and content migration time in-between servers.