Smart computing & Systems Engineering - (SCSE - 2019): Recent submissions

  • Use of LIME for Human interpretability in Sinhala document classification 
    Kumari, P. K. S.; Haddela, P.S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With advancement of technology in Sri Lanka, use of Sinhala text usage has grown rapidly over the time where automatic categorization is helpful for efficient content management. As a result, experts tend to use machine ...
  • A Novel Computational Method to Capture FPGA Technology Trends from Patent Information. 
    Shibata, M.; Takahashi, M. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    This paper provides a novel trend analysis of FPGA development with Machine Learning. Recently, demands for the computing power are expanding due to reform of industrial structure such as the Industry 4.0 and the ...
  • Communication framework for vehicular ad-hoc networks using Blockchain: Case study of Metro Manila Electric Shuttle automation project 
    Kulathunge, A.S.; Dayarathna, H.R.O.E. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Vehicular Networks or the Vehicular Ad-hoc Networks (VANET) are experiencing revolutionary growth in research and industry, but still suffers from various breaches such as poor decentralization of communication, ...
  • Novel machine learning ensemble approach for landslide prediction 
    Madawala, C. N.; Kumara, B. T. G. S.; Indrathilaka, L. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Haphazard development activities on mountain slopes and inadequate attention to construction aspects have led to the increase of landslides and consequently sustaining damage to lives and infrastructure. Nearly 3275 sq.km ...
  • A Scalable Bioinformatics Analysis Platform based on Microservices Architecture 
    Rajapaksa, S.; Wickramarachchi, A.; Mallawaarachchi, V.; Rasanjana, W.; Perera, I.; Meedeniya, D. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With the advancement of technologies, web services play a significant role to maintain infrastructure in healthcare domain due to the increasing demand of performance. In such systems, adoption of novel technologies is ...
  • Distribution cost optimization using Big Data Analytics, Machine Learning and Computer Simulation for FMCG Sector 
    Adikari, A.M. C.; Amalan, T. P. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Developments in information and communication technology has made significant impact on every sector. Unfortunately, limited research exists regarding information systems for the distribution networks in Supply Chain. ...
  • Data Mining Approach for Identifying Suitable Sport for Beginners 
    Amarasena, P.T.; Kumara, B. T. G. S.; Jointion, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Anthropometric measurements are generally used to determine and predict achievement in different sports. An athlete’s anthropometric and physical characteristics may perform important preconditions for successful ...
  • MRI based Glioma segmentation using Deep Learning algorithms 
    Kaldera, H. N. T. K.; Gunasekara, S. R.; Dissanayake, M. B. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Primary brain tumors can be malignant (cancerous) or benign (non-cancerous). Out of primary brain tumors, gliomas are the most common and, high grade gliomas carry a poor prognosis. In our paper, we present a technique ...
  • Face and Upper-Body Emotion Recognition Using Service Robot’s Eyes in a Domestic Environment 
    Vithanawasam, T. M. W.; Madhusanka, B. G. D. A. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    The population of the elderly/disabled people of the world is increasing rapidly. Taking care of these people has become a major issue since lack of professional caregivers or family members. Hence, the only feasible ...
  • Implicit Intention and Activity Recognition of a Human Using Neural Networks for a Service Robot Eye 
    Moladande, M.W.C.N.; Madhusanka, B.G.D.A. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Introduction of the assistive robot concept has created numerous ways to restore vital degrees of independence for the elderly and disabled people on their Activities of Daily Living (ADL). The most important aspect of ...
  • Candidate Recruitment Based on Automatic Answer Evaluation Using WordNet 
    Kasundi, J.; Ganegoda, G.U. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Any organization’s future survival in the industry mainly depends on the decisions they take today and recruiting a new employee is one of those critical decisions that an organization has to take. Recruitment process of ...
  • Occupancy Monitoring System for Workplace Washroom 
    Godakandage, V. M. P.; Kothalawala, K. R. M.; Chathumali, E. J. A.; Madhubhashana, A. W. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With regard to rapid technological advancements majorly influencing our daily lives, Internet of Things (IoT) has been a topic of broad and current interest in the recent years. The capabilities of IoT can assist in ...
  • Prediction of User Intentions Using Web History 
    Samarasinghe, K.T.C.S.; Jayalal, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    In the present internet has become much more necessary thing to humans and we use it as a way of sharing information and way of communication. If the networks can identify the user’s intentions, it will be affecting to ...
  • Multimodal user interaction framework for e-commerce 
    Hewawalpita, S.; Perera, I. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    E-commerce has grown to be a major user of e-services and online purchases through e-commerce are largely preferred over the traditional brick and mortar purchasing. Yet it is challenging for the consumers to fully ...
  • An Infectious Disease Medical Policy Simulation and Gaming 
    Kurahashi, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    This paper analyses a new type of infectious disease by an agent-based simulation and gaming model based on Ebola fever and dengue fever. The mathematical model such as SIR (Susceptible, Infected, Recovered) has been used ...

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