Research Papers - Dept of Computer Systems Engineering

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Subject: search.filters.subject.IoT

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    A Geophone Based Surveillance System Using Neural Networks and IoT
    (IEEE, 2020-12-10) Hettigoda, S; Jayaminda, C; Amarathunga, U; Thaha, S; Wijesundara, M; Wijekoon, J
    Securing our assets and properties from intruders and thieves has become increasingly challenging as intruders become technology aware. The most common approach to monitor physical assets is CCTV. However, this approach has a number of technical limitations in addition to the cost. The CCTV camera location is visible to the intruder and intruder can also identify possible blind spots in the CCTV coverage area. In this paper, we introduce a novel method to secure physical assets using Geophones, Neural Networks, and IoT Platforms. This can either be used stand alone or to complement existing CCTV systems. In this approach, the system monitors vibrations on ground to detect intruders. We have achieved up to 93.90% overall accuracy for person identification. The system is invisible to intruders and covers a large area with a smaller number of nodes, thereby reducing the cost of ownership.
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    A survey: IoT enable framework for water quality measurement and distribution
    (IEEE, 2018-08-08) Lokuliyana, S; Jayakody, A; Bandara, N. B. R. P; Deshapriya, J. W. P; Kavinda, P. C; Wijewickrema, T. L
    Real-time water quality detection consists of a great practical significance and also it led to management of precious water resources. This paper suggests an IoT enabled framework that analyses, monitor, report, maintain and distribute the physical and chemical properties of water. pH is how acidic or alkaline the water is one parameter that used to analyze the quality of water (7 in pH scale is neutral) apart from this chemical factor, two physical factors are considered in analyzing. Turbidity the measurement of how particle suspended in water, which led to lower the dissolved oxygen, reduce the photosynthesis of aquatic plants. Temperature is the other property, this caused by air temperature, groundwater inflows, exposure to sunlight. The authors examine through various existing implementations and research on such system and attempt to provide an overview of the research gaps and research problems available enabling further pathways.
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    Location based garbage management system with iot for smart city
    (IEEE, 2018-08-08) Lokuliyana, S; Jayakody, A; Dabarera, G. S. B; Ranaweera, R. K. R; Perera, P. G. D. M; Panangala, P. A. D. V. R
    Smart cities integrate multiple ICT and IOT solutions to build a comfortable human habitation. One of these solutions is to provide an environmentally friendly, efficient and effective garbage management system. The current garbage collection system includes routine garbage trucks doing rounds daily or weekly, which not only doesn't cover every zone of the city but is a completely inefficient use of government resources. This paper proposes a cost-effective IOT based system for the government to utilize available resources to efficiently manage the overwhelming amounts of garbage collected each day, while also providing a better solution for the inconvenience of garbage disposal for the citizens. This is done by a network of smart bins which integrates cloud-based techniques to monitor and analyze data collected to provide predictive routes generated through algorithms for garbage trucks. An android app is developed for the workforce and the citizens, which primarily provides the generated routes for the workforce and finds the nearest available smart bin for citizens.
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    Automated Water-Gate Controlling System for Paddy Fields
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Sanjula, W.A.K.L.; Kavinda, K.T.W.; Malintha, M.A.K.; Wijesuriya, W.M.D.L.; Lokuliyana, S.; de Silva, R.
    The Internet of things (IoT) is an attractive technology being used in almost every aspect of the world today. It allows connecting any of the objects that want to communicate with each other and to transfer data without human interaction. In this paper proposed system is discussed on canal automation for a smart irrigation system using IoT concepts. Automated Water Gate Controlling System collects few environmental factors through a smart module embedded with sensors to communicate with the water gate of the paddy field. Cloud computing is used to store a large amount of data gathered by the sensor module. All real-time sensed data are processed and demonstrated on a web dashboard with a convenient graphical user interface along with a rain and reservoir water level prediction analysis to the users. Automation supports distance monitoring and controlling by allowing minimum human intervention. This paper provides a solution for traditional irrigation systems to confront rural farming interferences and global climatic changes via a cloudbased automated wireless communication system to water their paddy fields, monitor them and smartly control them.
  • Thumbnail Image
    PublicationEmbargo
    A Geophone Based Surveillance System Using Neural Networks and IoT
    (IEEE, 2020-12-10) Hettigoda, S; Jayaminda, C; Amarathunga, U; Thaha, S; Wijesundara, M; Wijekoon, J
    Securing our assets and properties from intruders and thieves has become increasingly challenging as intruders become technology aware. The most common approach to monitor physical assets is CCTV. However, this approach has a number of technical limitations in addition to the cost. The CCTV camera location is visible to the intruder and intruder can also identify possible blind spots in the CCTV coverage area. In this paper, we introduce a novel method to secure physical assets using Geophones, Neural Networks, and IoT Platforms. This can either be used stand alone or to complement existing CCTV systems. In this approach, the system monitors vibrations on ground to detect intruders. We have achieved up to 93.90% overall accuracy for person identification. The system is invisible to intruders and covers a large area with a smaller number of nodes, thereby reducing the cost of ownership.