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Has files: YesSubject: search.filters.subject.Artificial Intelligent

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    PublicationEmbargo
    CyberMate∼ Artificial Intelligent business help desk assistant with instance messaging services
    (IEEE, 2016-11-08) Weerawarna, N. T; Haththella, H. M. H. R. B; Ambadeniya, A. R. G. K. B. R; Chandrasiri, L. H. S. S; Bandara, M. S. L; Thelijjagoda, S. S
    Most of the existing Artificial Intelligent software agents are based on a single specific purpose whereas CyberMate is a multipurpose AI agent based on pattern recognition with Chatterbot approach to interact with remote users. The system introduces a new technology to automate customer care services by hosting business information and technical support to address inquiries by the end users. CyberMate allows remote end users to connect via Instant Messaging services and get requested information using English, Tamil, Sinhala language or any natural language. The system can act as a dedicated AI agent between client and the service hosting party that can provide information via instance messages. This is a much faster and familiar solution than hosting a Frequently Asked Questions (FAQ) page as a part of a business website and even the system can reduces the work load of the customer care service waiting queue, which leads to decrease the customer's dissatisfaction and make service accessible from any device which has Internet connectivity. The business information can be easily modeled into the CyberMate system using the newly introduced CyberMate Scripting Language (CSL) and its own development environment (CSL-IDE).
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    PublicationEmbargo
    Intelligent Violence Video Detection System
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Jayasanka, H.K.B.; Jayasanka, B.M.R.D.; Diyunuge, K.D.C.D.R.; Jayasekara, T.H.D.Y.M.; Lunugalage, D.; Samaratunge, U.S.S.
    Due to the busy and stressful lifestyle, humans tend to feel frustrated frequently. This harmful emotional behavior results in violations of several rules, regulations and legislation. Violence is one of the serious issues which emerges due to this situation. It also results in uncontrollable human behavior. This behavior can either be verbal arguments or even physical conflicts. A trend of recording and publishing videos related to these kinds of violations in various platforms can be observed widely at present. Therefore, the terms and conditions of these platforms are subjected to frequent changes. Difficulty in identifying and controlling of violent events will result in an increase of such cases. Due to these reasons, the demand for violence detection systems will be significantly increased. Efficient violent detection systems are lacking currently. But, the usage of artificial intelligence in these systems are further limited. Four major components have been used to achieve this goal. They are video-based, embedded audio-based, abused textbased and thumbnail-based violence detection. The machine learning and image processing techniques are used along with these components to improve the clarity of violence detection.