Browsing by Author "Kirupananda, A."

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    Evaluation of higher education institutions using aspect based sentiment analysis
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Balachandran, L.; Kirupananda, A.
    Demand for formal higher education programs among the younger generation in Sri Lanka, has grown over the past decade. The demand growth has fueled the opening up of many local and internationally affiliated institutes offering a diverse range of degree programs. The selection of the appropriate course from these institutes is challenging given the wide choice. In order to select the appropriate institute, students use the Internet for reviews and user comments, especially from social network sites like Facebook, Twitter and Google plus. This search, involves a cost in terms of time spent for reading the comments and processing whether the standing of the ratings for the program and the institution are appropriate. This task is challenging because of the difficulty to extract sentiment information from a massive set of online reviews. A solution is proposed, using an aspect based sentiment evaluation system that assesses institutions by considering the reviews provided, to overcome this problem. This concept is based on Natural Language Processing (NLP). A web based, automated application tool that retrieves review data from social media networks on the institution and the features of the program, analyzes the sentiment value and provides a rating has been developed.
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    Rainout Companion: A Smart Cloth Rack with Dryer
    (International Conference on Business and Information (ICBI – 2019), [Innovation & Technology], Faculty of Commerce and Management Studies, University of Kelaniya Sri Lanka, 2019) Sivaloganthan, L.; Kirupananda, A.
    This paper documents the development of a completely automated cloth rack for drying and protecting clothes during unpredictable weather conditions, without any human involvement. The idea of automatic clothes covering system was developed under home automation in IOT to prevent the clothes getting wet as soon as the rain comes. The proposed Rainout Companion provides a solution to people who find it hard and less time to get involved in laundry activities during monsoons and rainy days. The proposed automatic device can be functioned using the Atmega 2560 microcontroller included in the Arduino Mega board 2560. Further, environmental sensors such as temperature and humidity are used to obtain the real-time values for every two minutes. A mobile application is also designed to primarily to notify change of weather conditions and to control the functionalities of the IOT device from a remote place via internet. This research contributes to the smart home concepts and devices explored in Sri Lanka.