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Browsing by Author "Senaratne, D"

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    Assistive Learning Platform for Children with Down Syndrome
    (IEEE, 2020-11-04) Wellala, S; Thathsarani, S. A; Senaratne, D; Samaranayake, P; Jayakody, A
    Down Syndrome (DS) is a genetic disorder. Researchers believe that persons with DS generally have poor logical knowledge, communication, motor skills, and skills needed for everyday life. The proposed system is a web-based assistive learning platform for children with DS to address those problems. It provides an excellent opportunity for learning educational subjects, including math and language. The authors also created interactive modules improving their health habits, social skills, and motor skills. Since the authors deeply consider their requirements, the system was developed by providing excellent features with those modules. Users' faces can be recognized to keep their attention with the system, thereby suggesting and referring their most interesting content according to their emotions while using the system. Also, the dashboard can analyze user data. Most importantly, it capable of assessing the users through the system. Here the research team has assessed 50 children with DS, and 31 showed improvement after using the system. Therefore, the proposed system with all these modules and features can be introduced as a very productive assistive learning platform in Sri Lanka.
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    Enhancing flexibility of belief representations
    (IEEE, 2008-04-06) Senaratne, D; Kulasekere, E. C
    Several attempts have been made to enhance the flexibility of belief representation in the Shafer model. This paper questions their ability to retain the intuitiveness. A method of enhancing the flexibility of belief representations, without compromising the intuitiveness is proposed. In it we relax the Shafer's exclusivity constraint by disregarding the formalism: 'subsets as propositions' and expressing support as functions of propositions. A compact and intuitive notation for propositions, termed N-of, is introduced. This notation simplifies the formulation of propositions from the statements humans make.
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    Role of the Context in Intuitive Combination of Evidence
    (IEEE, 2008-12-12) Senaratne, D; Kulasekere, E. C
    Combination' in `Theory of Evidence' is merging evidence received from different sources to reduce the uncertainty one entertains regarding the problem in concern. Rules having different semantics and producing conflicting outputs are found in literature. Unfortunately proper guidelines are not available to select the combination rules suitable for a given problem. It has resulted in counter-intuitive use of the rules. Contextual information governs how the frames against which the evidence is expressed are related. It is however not embedded in the evidence and therefore not available to the agent applying the combination rule. This paper explores how contextual information can be extracted to be used for improving the intuitiveness of combination. It establishes a systematic way to extract contextual information, based on what the authors denote as hypothesis-level and frame-level inter-frame relationships.

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