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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2018 - 20202

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    PublicationOpen Access
    A Conceptual Framework for the Association between Relationship Conflicts and Employees’ Intention to Leave
    (Canadian Center of Science and Education, 2018) Weerarathna, R. S; Perera, S
    The main objective of this research paper to conceptualize a model to test the association between relationship conflicts and employees’ intention to leave with the support of past theories and research findings. This research paper contains the definitions for variables related to relationship conflicts and employees’ intention to leave from the organization and also it explains models which explain the interconnections among two variables. The conceptualization of this research includes a logically developed model that leads to identify the relationships between the independent variable and dependent variable. The proposed model suggested that there is an association between relationship conflicts and employees’ intention to leave.
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    PublicationOpen Access
    Snap & Hear: Comic Book Analyst for Children Having Literacy and Visual Barriers
    (CSEDU 2020 - 12th International Conference on Computer Supported Education, 2020) Yapa, R. B. D; Kahaduwa Arachchi, T. L; Suriyarachchi, V. S; Abegunasekara, U. D; Thelijjagoda, S
    Comic books are very popular across the world due to the unique experience they provide for all of us in the society without any age limitation. Because of this attraction, which comic books have received, it has proved that comic literature will be able to survive in the twenty first century, even with the existence of multidimensional movie theatres as its competitors. While the biggest global filmmakers are busy with making movies from comic books, many researchers have been investigating their time on digitizing the comic stories as it is, expecting to create a new era in the comic world. But most of them have focused only on one or few components of the story. This paper is based on a research which aims to give the full experience of enjoying the comic books for everyone in the world despite of visual and literacy barriers people are having. Proposed solution comes as a web application that translates input image of a comic story into a text format and delivers it as an audio story to the user. The story will be created using extracted components such as characters, objects, speech text and balloons and considering the association among them with the use of image processing and deep learning technologies.