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Browsing Smart Computing and Systems Engineering - 2021 (SCSE 2021) by Title

Browsing Smart Computing and Systems Engineering - 2021 (SCSE 2021) by Title

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  • Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices 
    Kumarathunga, Malni; Calheiros, Rodrigo; Ginige, Athula (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Using scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest ...
  • Temporal preferential attachment: Predicting new links in temporal social networks 
    Wickramarachchi, Panchani; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Social networks have shown an exponential growth in the recent past. It has estimated that nearly 4 billion people are currently using social networks. The growth of social networks can be explained using different models. ...
  • Theoretical framework to address the challenges in Microservice Architecture 
    Premarathna, Dewmini; Pathirana, Asanka (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Microservice Architecture (MSA) is a recommended way to introduce the application software in a modularized manner instead of the traditional Monolithic Architecture (MA) approach due to the inherent advantages. The MSA ...
  • Thought identification through visual stimuli presentation from a commercially available EEG device 
    Gunawardhana, M. P. A. V.; Jayatissa, C. A. N. W. K.; Seneviratne, J. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Thought identification has been the ultimate goal of brain-computer interface systems. However, due to the complex nature of brain signals, classification is difficult. But recent developments in deep learning have made ...
  • TrackWarn: An AI-driven warning system for railway track workers 
    Amjath, M. I. M.; Kuhanesan, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Automated inspection of surface defects is beneficial for casting product manufacturers in terms of inspection cost and time, which ultimately affect overall business performance. Intelligent systems that are capable of ...
  • A tree structure-based classification of diabetic retinopathy stages using convolutional neural network 
    Peiris, M. S. H.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Detection, and classification of medical images have become a trending field of study during the last few decades. There is a considerable amount of vital challenges to be overcome. Ample work has been carried out to provide ...
  • Vibration analysis to detect and locate engine misfires 
    Jayasooriya, Prathap V.; Siriwardana, Geethal C.; Bandara, Tharaka R. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Vibration analysis is used to detect faults and anomalies in machinery and other mechanical systems that produce vibrations during operation. The study aimed to develop an algorithm that can detect and locate engine faults ...
  • What makes job satisfaction in the information technology industry? 
    Arambepola, Nimasha; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Having a rich human resource is critical for an organization to move towards success. Especially, for business organizations such as technology companies, the human resource is the driving factor of the company's growth ...

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