Research Publications Authored by SLIIT Staff
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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.
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Publication Embargo SMART Garbage Bin Kit Expandable and Intelligent Waste Management System using Deep Learning and IoT for Modern Organizations(IEEE, 2021-12-02) Hewagamage, P.; Perera, D; Thilakarathna, T; Kasthurirathna, D; Fernando, R; Mihiranga, AAccording to published statistics, Sri Lanka produces garbage around 7000MT per day, and every organization directly contributes this national amount depending on the waste management practices. 'Waste contamination' is a critical issue that affects waste management, and it should be addressed during the garbage collection process. This has led to environmental hazards resulting in health and other social issues. Hence, it is a responsibility of an organization to separate the garbage during the collection process using a suitable technique. In this paper, we are proposing a smart garbage bin kit that automates the separation of garbage collection, which minimizes human error using AI-based technologies. IoT-based devices connected to a smart garbage bin kit guide the user to the correct bin. At the same time, our proposed system can be easily expanded for new special waste categories as well. The other important issue of the current garbage management is improper time management of the garbage removal process in organizations. This happens due to the lack of real-time data on waste bins, and collection is based on the fixed time interval irrespective of the status and location of garbage bins. In the proposed system of SMART Garbage Bin Kit, the group of all interconnected garbage bins is monitored in real-time to identify the optimum collection path considering the location and the status of garbage bins using an optimized algorithm. Hence, the study presented in this paper integrates several intelligent approaches together with IoT based network to build a cutting-edge device, declared as SMART Garbage Bin kit. The prototype system has been built as a part of the research study to demonstrate its feasibility and sustainability.Publication Embargo 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, JSecuring 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.Publication Embargo 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. LReal-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.Publication Embargo 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. RSmart 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.Publication Embargo 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.Publication Embargo 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, JSecuring 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.Publication Embargo Cybersecurity and Network Performance Modeling in Cyber-Physical Communication for BigData and Industrial IoT Technologies(IEEE, 2019-07-26) Sen, S; Jayawardena, CThe information and networking technology have been revolutionized with the inception of recent evolution of Cyber-Physical Systems (CPS) and the Internet of Things (IoT). The next generation distributed computing systems i.e., CPS and IoT are highly interconnected and deeply embedded with the physical world. By capitalizing the advantages and opportunities of these technologies, Industrial-IoT has been fueling smart industrial processes. The execution and application of these processes generate huge amount of data, which leads the distributed computing systems to carefully consider information and data management reliably and securely; also facilitating the necessary automation as well as ensuring timely information exchange. But the current internet doesn't guarantee the network performance and secure transportation; in addition the physical systems are becoming more insecure when interconnected to the cyber systems. These bottlenecks are leading to the necessity of improving performance and security in the cyber-physical communication. Considering those pervasive requirements, this paper has modeled network performance as well as system security with a view to improve these components which could heel the reliable cyber-communication challenges.Publication Embargo Reliability and Cybersecurity Improvement Strategies in Wireless Sensor Networks for IoT-enabled Smart Infrastructures(IEEE, 2019-10-18) Sen, S; Jayawardena, CIoT-enabled smart applications and infrastructures use low power wireless sensor networks widely. But due to low energy and lack of computing capabilities, the comprehensive use of such devices result in reliability and security vulnerabilities. Therefore, the lower capability of sensor devices need to operate wisely with careful technical considerations to maximize their capabilities. This paper proposes a new technique to improve reliability and cybersecurity by balanced use of sensor energy while maintaining the quality of communication. The simulation result shows that the strategy proposed is effective. A hacking strategy has also been detailed so that the security experts can consider those while designing a security suite for IoT-enabled infrastructures.