Research Papers - Dept of Computer Systems Engineering

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Has files: YesSubject: search.filters.subject.mobile application

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    Press plus-interactive mobile application for effective news reading
    (IEEE, 2017-08-22) Gamage, N. D. U; Udeshitha, K. L. A. D; Jayadewa, K. W. C; Senanayake, S. M. N. K. B; Samarakoon, S. M. U. P; Hennayake, T. M
    Presently younger generation relies more on mobile applications to acquire information instead of traditional methods. Hence, customary approaches of information distribution required to reinforce by modern technology. Especially newspaper industry needs a certain technology enhancement to make the reading experience more interesting and pleasurable for readers. The “Press Plus” is an application to form an association between the newspaper and modern technology to promote newspaper reading by allowing the user to watch news related videos via their smartphone. This application uses scanning and retrieving data through QR code technology with the collaboration of mobile & web application. The mobile application provides three main facilities; Video playback controller; which allows users to scan printed QR code and play news related videos, Top list; which permit users to rate and view top rated videos and live stream; which facilitate users to watch live events independent from location and time. Additionally to the application, a separate survey was conducted to evaluate newspapers reading habits of youth in Sri Lankan context. Survey results indicate that a large number of individuals prefer newspapers reading via modern technologies such as mobile applications. “Press Plus” is beneficial to both newspaper readers and publishers in many ways. It helps to enhance a number of newspaper readers by making it more attractive and pleasurable. In addition, readers get a novel experience while reading newspapers. Publishers indirectly can gain revenue through branding, marketing and event promotions via this application.
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    Zero Food Waste: Food wastage sustaining mobile application
    (IEEE, 2019-12-05) Gunawardane, M. D. C. J; Pushpakumara, H. A. N; Navarathne, E. N. M. R. L; Lokuliyana, S; Kelaniyage, K. T. I; Gamage, N
    Food is the third most essential part of everyone's lives. But generally global food loss and wastage amount has been increased to an amount between one third and one half of all food produced. The reasons can be specified as a lack of appropriate planning, purchase and preparation of too much food, over the preparation of food in restaurants. As a solution, the project team has implemented a mobile application which is capable of capturing an image of a food and identify it and measure the weight. With the gathered data, the implemented system contains an intelligent agent providing suggestions of food recipes with leftover foods and several additional features such as guidance to the user to prepare any kind of food with the help of an interactive Chatbot as well as the user has been directed to get healthy meals by considering the previous meal plans and statistical report analysis. As the results, the implemented recipe generation algorithm of sentimental analysis has obtained 76% accuracy and moreover the team has obtained more accurate unique technique for weight estimation than the currently available calibration techniques.
  • Thumbnail Image
    PublicationEmbargo
    Zero Food Waste: Food wastage sustaining mobile application
    (IEEE, 2019-12-05) Gunawardane, M. D. C. J; Pushpakumara, H. A. N; Navarathne, E. N. M. R. L; Lokuliyana, s; Kelaniyage, K. T. I; Gamage, N
    Food is the third most essential part of everyone's lives. But generally global food loss and wastage amount has been increased to an amount between one third and one half of all food produced. The reasons can be specified as a lack of appropriate planning, purchase and preparation of too much food, over the preparation of food in restaurants. As a solution, the project team has implemented a mobile application which is capable of capturing an image of a food and identify it and measure the weight. With the gathered data, the implemented system contains an intelligent agent providing suggestions of food recipes with leftover foods and several additional features such as guidance to the user to prepare any kind of food with the help of an interactive Chatbot as well as the user has been directed to get healthy meals by considering the previous meal plans and statistical report analysis. As the results, the implemented recipe generation algorithm of sentimental analysis has obtained 76% accuracy and moreover the team has obtained more accurate unique technique for weight estimation than the currently available calibration techniques.