Browsing ERU - 2016 by Title

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  • Human action detection using space-time interest points 
    Sriashalya, S; Ramanan, A [Conference-Abstract]
    The bag-of-features (BoF) approach for human action classification uses spatio-temporal features to assign the visual words of a codebook. Space time interest points (STIP) feature detector captures the temporal extent ...
  • Identify whether the user is in a meeting or not by using naïve bayes classifier 
    Yogaraja, AA; Dharmasena, HSR; Gobinath, L; Vishnuvathsasarma, B; Walpola, MJ [Conference-Abstract]
    This paper is discussed about implementing a Naïve Bayes classifier to identify whether the user is in a meeting or not for the context aware systems. We implemented an application (AutoProfile App) to identify whether ...
  • Integrating context-awareness with reminder tools 
    Ranasinghe, YS; Walpola, MJ [Conference-Abstract]
    People use reminders to recall tasks to-do. But sophisticated enough tools are unavailable. Context-Awareness in mobile computing is more engaging area in gathering information about the user’s current situation and would ...
  • Modeling and forecasting opec reference basket crude oil prices using artificial neural networks 
    Mahanthege, SR; Chandrasekera, NV; Jayasundara, DDM [Conference-Abstract]
    With Organization of petroleum exporting countries (OPEC) being the dominant player in the crude oil industry, it is of great importance to accurately forecast OPEC reference basket (ORB) crude oil prices. This study focuses ...
  • Non-destructive evaluation of strength gain of ordinary portland cement mortar by ultrasonic pulse velocity method 
    De Silva, SD; Sivahar, V [Conference-Abstract]
    This paper presents results of the study of ultrasonic pulse velocity and compressive strength of ordinary Portland cement mortar. Objectives of this study are to determine correlations between ultrasonic pulse velocity ...
  • Short-term traffic prediction with visitor location registry data 
    Dilhasha, F; Fernando, K; Godahewa, R; Ossen, S; Perara, AS; Walpola, M [Conference-Abstract]
    Increasing road traffic is a major issue in current world. In this paper, we propose a set of prediction models that can perform short term traffic prediction for a given road segment. These prediction models have been ...
  • A simplified epilepsy classification technique utilizing svd 
    Prabhakar, SK; Rajaguru, H [Conference-Abstract]
    EEG signals represent both the brain function and also the status of the whole body, i.e. a simple action as blinking the eyes introduces oscillation in the EEG records. The EEG is a direct way to measure neural activities ...
  • Use of dipanalyst 2.0 software to analyse road cut slope failures 
    Premasiri, HMR; Senarathna, CSS; Godaliyadda, DP; Disanayaka, KTD [Conference-Abstract]
    This study the causes for the road cut failures and suggest a methodology to design road orientation to minimize cut failures considering geology and structure of the rocks present along road cuts. So this study is more ...