Research Papers - Dept of Software Engineering

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    Privacy & Security in Mobile Devices, Social Network Services as Related to Business
    (IEEE, 2019-03-11) Harshanath, S. M. B
    Mobile computing has made it extra easy to maintain contacts either away from home or office. These mobile computing devices are mostly meant to increase productivity in the place of work. Yet, the benefits can easily come along with a good amount of risks too. Business operations require human resources and systems and we cannot do without them in our business operations. Therefore, it is time for professionals engaged in security tasks to consider challenges to information security before considering awareness programs for workers to treat information security as a highly valuable attribute. These awareness raising programs could create attitudinal changes towards risk management with regular use of mobile devices. But, of course, rules and regulations require time to come into effect. Self-awareness brought in with attitudinal changes, takes no time. Nowadays, with the IoT (Internet of Things) it is possible to monitor use of mobile devices, moving around buildings and automobiles. This, in turn, demands robust security systems.
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    GLIB: Ameliorated English Skills Development with Artificial Intelligence
    (IEEE, 2020-10) Srikanthan, P; Nizar, R; Ravikumar, A; Lalitharan, K; Harshanath, S. M. B; Alosius, J
    In language learning, most of the learners can learn the theory and memorize the sound of a language. However, the ability to speak and learn a language properly requires good practice, experience and good learning strategies. This research is an approach to innovate and improve the language learning strategies along with practices that help to improve the language skills for non-native learners and children who are in the early stage of learning. In this research, the English language will be used to experiment with our solution as the source due to its demand and familiarity in the world. This research is focused on four main skills such as conversation skills, pronunciation skills, listening skills and grammatical skills. This research is done by analyzing the difficulties in each of the skills mentioned above and also discusses and provides details about the solution implemented to improve learning English in an efficient way. The implementation of this research is done by using technologies like natural language processing, machine learning, and deep learning approaches to come up with components to train the learner. The application of this research is delivered by using a cross-platform application called GLIB. The name GLIB is inspired by a library in C language which represents fluency. This mobile application provides facilities to improve all the English language skills mentioned above along with guides, tips, practices, and feedback based on an evaluation to improve the English language.