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Browsing Computer Engineering by Issue Date

Browsing Computer Engineering by Issue Date

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  • A Review on processing of data streams 
    Arumainayagam, P.; Charles, E.Y.A.; Kodituwakku, S.R. (Research journal of computer systms engineering - an international journal, 2011)
  • Disease Detection System from Heart Sounds 
    Liyanaarachchi, M.R; Muthalif, F.A.; Perera, K.I.S.; Selvarathnam, M.; Dayananda, Dr. N.W.N. (University of Jaffna, 2011)
    This paper presents a methodology to diagnose some heart diseases which can be identified using heart sounds. As the first stage, audio files in . wav format are acquired using an electronic stethoscope and entered to a ...
  • Quality based frame selection for video face recognition 
    Anantharajah, K.; Denmon, S.; Sridharan, S.; Fookes, C.; Tjondronegoro, D. (6th International Conference on Signal Processing and Communication Systems, 2012)
    Quality based frame selection is a crucial task in video face recognition, to both improve the recognition rate and to reduce the computational cost. In this paper we present a framework that uses a variety of cues (face ...
  • Quality based Frame Selection for Face Clustering in News Video 
    Anantharajah, K.; Denman, S.; Tjondronegoro, D.; Sridharan, S.; Fookes, C.; Guo, X. (Institute of Electrical and Electronic Engineers, 2013)
    Clustering identities in a broadcast video is a useful task to aid in video annotation and retrieval. Quality based frame selection is a crucial task in video face clustering, to both improve the clustering performance and ...
  • Automated Diagnosis of Cardiac Abnormalities using Heart Sounds 
    Perera, I.S.; Muthalif, F.A.; Selvarathnam, M.; Liyanaarachchi, M.R; Nanayakkara, N.D. (IEEE, 2013)
    Listening to the heart sounds is a common practice in identifying cardiac malfunctions. Since this method has many limitations, tools that aid physicians in their diagnosis of heart diseases are very useful. This paper ...
  • Experimental investigation on the seismic performance of PP-band strengthening stone masonry houses 
    Sathiparan, N.; Sakurai, K.; Numada, M.; Meguro, K. (Springer, 2013)
    The collapse of stone masonry is one of the greatest causes of death in major earthquake events around the world. This paper investigates a recently developed retrofitting technology specifically aimed at preventing or ...
  • Establishing traceability links among software artefacts 
    Wijesinghe, D.B.; Kamalabalan, K.; Uruththirakodeeswaran, T.; Thiyagalingam, G.; Perera, I.; Meedeniya, D. (IEEE, 2014)
    Artefact management in a software development process is a difficult problem in software engineering. Usually there is a wide variety of artefacts, which are maintained separately within a software development process such ...
  • Local Inter-Session Variability Modelling for Object Classification 
    Anantharajah, K.; Yuan Ge, Z.; McCool, C.; Denman, S.; Fookes, C.; Corke, P.; Tjondronegoro, D.; Sridharan, S. (IEEE, 2014)
    Object classification is plagued by the issue of session variation. Session variation describes any variation that makes one instance of an object look different to another, for instance due to pose or illumination variation. ...
  • Hybrid approach for spell checking of tamil language 
    Jananie, S.; Sarveswaran, K. (Proceedings of the Peradeniya Univ. International Research Sessions, Sri Lanka, 2014)
    The spell checkers are specialised application programs that flags words in a document that may be misspelled. Though there are several spell checkers available for languages like English, no fully functional application ...
  • Tool Support for Traceability of Software Artefacts 
    Kamalabalan, K.; Uruththirakodeeswaran, T.; Thiyagalingam, G.; Wijesinghe, D.B.; Perera, I,; Meedeniya, D. (IEEE, 2015)
    Artefact management in a software development process is a challenging problem. Often there is a wide variety of artefacts, which are maintained separately within a software development process, such as requirement ...
  • Robust Automatic Face Clustering in News Video 
    Anantharajah, K.; Denman, S.; Tjondronegoro, D.; Sridharan, S.; Fookes, C. (IEEE, 2015)
    Clustering identities in a video is a useful task to aid in video search, annotation and retrieval, and cast identification. However, reliably clustering faces across multiple videos is challenging task due to variations ...
  • Contextual spell checking for Tamil Language 
    Jananie, S.; Sarveswaran, K. (14th Tamil Internet 2015, Singapore, 2015)
    A spell checker is a basic necessity for composing text in any language. However, for the language like Tamil, due to its complex nature, a little amount of reportable work have been done compare to languages like English ...
  • Ontology Development for Sri Lankan Medicinal Plants: A Knowledge Representation 
    Jeyananthan, P.; Charles, E.Y.A.; Atukorale, D.A.S. (SRI LANKA ASSOCIATION FOR ARTIFICIAL INTELLIGENCE, 30, 2015)
    Our ancestors consumed medicinal plants through their day to day activities which leads them to a long and healthy life. It plays an important role in their life. But in this fast moving world the value of these plants are ...
  • Open Source Mobile Network 
    Sajeev, U.; Muralitharan, R.; Ramsan, M.M.M.; Zamrath, M.N.M.; Dias, D. (IEEE, 2016)
    — We present the development and testing of a cellular network built on open source technologies. This network supports voice calls and text messages within the network or between networks. The main objective of this work ...
  • Long-term Solar Irradiance Forecasting Approaches – A Comparative Study 
    Sharika, w.; Fernando, l.; Kanagasundaram, A.; Valluvan, R.; Anantharajah, K. (IEEE, 2018)
    The need of solar irradiation forecast at a specific location over long-time horizons has attained massive importance. In this paper, we study the machine learning techniques to predict solar irradiation in 10 min intervals ...
  • classification and regression analysis of lung tumors from multi-level gene expression data 
    Jeyananthan, P.; Niranjan, M. (IEEE, 2019)
    We study classification and regression problems in lung tumors where high throughput gene expression is measured at multiple levels: epi-genetics, transcription and protein. We uncover the correlates of smoking and ...
  • Predicting Movie Ratings from Audience Behaviors on Movie Trailers 
    Rathnayaka, S.J.J.; Ranathunga, C.J.; Navarathna, R.; Kaneswaran, A.; Balathasan, Y. (10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021)
    Movie rating is a measure of viewer’s reaction to movie performance at the box office and also a key feature to garner publicity. Movie ratings are feedback measures given by a subset of the audience voluntarily. If the ...
  • Automated gastrointestinal abnormalities detection from endoscopic images 
    Gowtham,P.; Niranjan,M.; Kaneswaran, A. (16th IEEE International Conference on Industrial and Information Systems (ICIIS) 2021, 2021)
    Impressive high performance reported in the use of machine learning on computer vision problems is often due to the availability of very large datasets with which deep neural networks can be trained. With inference from ...
  • Environmental Monitoring System Using USRP and Single Board Computer 
    Muralitharan, R. (University of Jaffna, 2021)
    Universal Software Defined Radio Peripheral (USRP), GNU Radio, and Raspberry Pi board (single board computer) are used to establish a simple communication network. The communication network is configured to monitor the ...
  • Astra: Autonomous Server less Analytics with Cost-Efficiency and QoS-Awareness 
    Jananie, J.; Li Chen; Fei Xu; BoLi (IEEE, 2021)
    Withtheabilitytosimplifythecodedeployment withone-clickuploadandlightweightexecution,serverlesscomputinghasemergedasapromisingparadigmwithincreasing popularity.However,thereremainopenchallengeswhenadapting data-intensive ...