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Browsing Smart Computing and Systems Engineering (SCSE) by Title

Browsing Smart Computing and Systems Engineering (SCSE) by Title

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  • Supply chain risk assessment model for a small scale apparel manufacturer 
    Erandi, M.P.H.; Peter, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    The adoption of free trade, and advances in communication and information technology and transport systems have propelled globalization of trade. Local supply chains have rapidly become complex intertwined international ...
  • A survey on applying machine learning to enhance trust in mobile adhoc networks 
    Jinarajadasa, G.M.; Liyange, S.R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Mobile ad-hoc networks (MANETs) play a vital role in the increasingly networked world where it has many applications in plenty of important fields including military sector, business applications, social networks such as ...
  • Swarm intelligence for urban traffic simulation: Results from an Agent-based modeling and simulation study of the Sri Lankan context 
    Amarasinghe, U.G.L.S.; Rajapakse, R.A.C.P. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Traffic congestion is a crucial issue affecting the quality of life of individuals all over the world. In a country like Sri Lanka where the traffic is mostly heterogeneous and unorganized, traffic congestion could be ...
  • A Systematic Investigation on the Effectiveness of the Tabbert Model for Credit Card Fraud Detection 
    Hewapathirana, Isuru; Kekayan, Nanthakumar; Diyasena, Deshanjali (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    As a result of rapid digitisation, online transactions using credit cards have become popular. With this, fraudulent activities have also increased considerably. Although many supervised and unsupervised machine learning ...
  • Systems engineering approach to smart computing: From farmer empowerment to achieving sustainable development goals 
    Ginige, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Smart Computing aims to combine advances in Information and Communication Technologies to create smart systems to make human life better thus, providing a new approach to address many complex and challenging problems faced ...
  • 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 ...
  • Towards detecting morning surge from sleep self-evaluations 
    Takahashi, Masakazu; Sugahara, Noriyuki; Shibata, Masashi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    This paper aims to analyze the blood pressure transition during sleep. Morning surge is a sudden increase in blood pressure from awakening or before awakening. Morning surge is implicated in cardiovascular diseases, such ...
  • TQM Practices on Supply Chain Performance of Third- Party Logistics Services in Sri Lanka: The Moderating Role of Green Supply Chain Practices 
    Nawurunnage, K.; Prasadika, A.P.K.J.; Wijayanayake, A.N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The growing need to address the threat of global warming and greenhouse gas emissions has placed immense pressure on logistics companies to adopt sustainable practices. With logistics operations being a significant source ...
  • 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 ...
  • Traffic through - An effective right-turn-bay of signalized intersections for busy hours 
    Seneviratne, W.Y.H.; Jayasiri, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Sri Lanka, as a developing country, the traffic congestions are becoming severe day by day because of the population and the economic background. To overcome the congested areas, the traffic controlling light systems were ...
  • 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 ...
  • 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 ...
  • Utilizing mobile based technologies in monitoring solid waste in Sri Lanka: A case study 
    Dasinaa, S.; Rajivkanth, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    An exponential increase in solid waste is a crucial concern for all citizens including policy makers. This issue has been building up over a period of time due to inadequate planning and implementation of measures to ...
  • Vehicle type validation for highway entrances using convolutional neural networks 
    Juwanwadu, L.N.W.; Jayasiri, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Vehicle type validation for Highway entrances using convolutional neural networks is an approach taken to automate the highway toll systems of Sri Lanka. Available automated highway toll systems in the world use sensor-based ...
  • 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 ...
  • Vision-based automatic warning system to prevent dangerous and illegal vehicle overtaking 
    Athree, Mahinsa; Jayasiri, Anusha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The purpose of this research is to implement a system that can be a help for drivers to drive vehicles safely and reducing accidents. Most of the accidents have occurred when overtaking. The driver has to consider the ...
  • VoiceNote: An Intelligent tool for monetary transactions with integrated voice support 
    Hashan, B.; Abeyrathna, Y.; Kaluaratchi, M.; Piyalath, A.; Thelijjagoda, 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)
    The smart phone has become a critical aspect of our daily lives, with many applications providing solutions to different problems that we encounter. Fintech have become a major priority in the present world. The use of ...

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