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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Subject: search.filters.subject.Crime Prediction

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    Using CNNs RNNs and Machine Learning Algorithms for Real-time Crime Prediction
    (IEEE, 2019-12-05) Rajapakshe, C; Balasooriya, S; Dayarathna, H; Ranaweera, N; Walgampaya, N; Pemadasa, N
    Over the recent years crime rates in Sri Lanka have drastically increased. Main priority of police is to prevent crime occurrences in order to enhance public safety. Criminals use advanced technologies, which make the crime investigations cumbersome. Police officers spend lot of time and effort on these investigations. A wide range of researches are being conducted in the areas of Artificial Intelligence (AI) and Neural Networks to automate crime detection and prediction. In this paper, we present machine learning and deep learning based E-police system to enhance public safety and support law enforcement. Main objective of the system is prevention of crimes. E-Police is an application that helps police officers to get informed about the incidents happening around in real-time. In addition, system provides predictions about possible crimes likely to take place in future so that precautions can be taken to prevent those.
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    Improve the Efficiency and Security by Digitalizing the Sri Lankan Police Department
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Abeywardana, K. Y; Senaratne, A.N.; Pathirathna, R.P.D.T.D.; Priyamantha, Y.P.C.N.; Dias, W.D.S.; Katukithulgala, B.
    Police, as the main law enforcement organization in Sri Lanka, play a major role in preserving the public order, preventing criminal, terrorist activities, and enforcing the law. As a developing nation, Sri Lanka Police Department is moving forward with emerging technologies to effectively manage operations and rapidly respond to opportunities and challenges. Compared to developed countries, Police Department is still far more behind when working with modern technologies. Lack of coordination between departments, duplication of data, delay of services, unauthorized data modification, absence of data analysis and prediction systems, lack of transparency, and corruption were identified as the main issues that exist in the police department. In this paper, we propose 4 main improvements which help to overcome those issues and challenges. Improving the existing police clearance certificate system to issue digital certificates capable of verifying the authenticity, integrity of the document and providing efficient delivery and great user experience to the applicants. Implementing a Blockchain network to store confidential data securely by providing transparency and integrity. Developing a machine learning model to predict crimes geographically and predict fight crime action based on data gathered from a realtime camera system (CCTV).