Smart Computing and Systems Engineering (SCSE)

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Author: search.filters.author.Senanayake, J.M.D.

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    Minimization of fraudulent activities in land authentication through Blockchain-based system
    (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020) Jayabodhi, L.W.D.C.; Rajapakse, Chathura; Senanayake, J.M.D.
    In Sri Lanka, the land administration process has not been digitized, which has led to plenty of conflicts in determining the real ownership of lands and drastically increasing the land transaction processing time, which has resulted in many fraudulent activities concerning land management. The existing system is majorly paper-based and centralized. Administrators who have the powers to alter the system according to their wishes hold a huge threat for information security and is a centralized system that bears the risk of a single point of failure. Hence, transitioning into another system that could mitigate the drawbacks in the current land authentication system has become a vital need and currently, the knowledge regard this area is very much limited. The decentralized nature of the blockchain-based system has the potential of diluting major limitations in the current system. The overall objective of this research is to mitigate fraudulent activities in land authentication systems through the blockchainbased technological approach. A prototype of a smart contractbased model has been created and verified with the involvement of the actual users. Since the smart contract-based land authentication model verifies the land ownership within a short period, the transaction processing time narrows down from a few months to a couple of minutes. The results show signs of considerable improvements in the efficiency and the security of the land authentication process, the users who interacted with the prototype and presented positive comments.
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    Applicability of crowdsourcing for traffic-less travelling in Sri Lankan context
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Senanayake, J.M.D.; Wijayanayake, J.
    Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using crowdsourcing together with data mining techniques, data related to user mobility were collected and studied and based on the observations, an algorithm has been developed to overcome the problem. By using developed techniques, the best transportation method can be predicted. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. The algorithm correctly predict the best traffic-less traveling method for the studied area of each given day & the given time. Throughout this research it has been proven that to determine the best transportation method in Sri Lankan context, data mining concepts together with crowdsourcing can be applied. Based on a thorough analysis by extending the data set of the collection stage, it was shown that this research can be extended to predict the best transportation method with consideration of existing traffic in all the areas.