Smart Computing and Systems Engineering - 2020 (SCSE 2020): Recent submissions

  • Demystifying the concept of IoT enabled gamification in retail marketing: An exploratory study 
    Jayasooriya, Shalini; Alles, Tharindhie; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The retail landscape is evolving rapidly as firms embrace innovative technologies in an attempt to stay ahead of the aggressive competition prevalent within the industry. Gamification is one such innovative technology that ...
  • Aspect-based sentiment analysis on hair care product reviews 
    Kothalawala, Malki; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Nowadays, with almost everything being shared online, people are more verbal about their consumer experiences with products via reviews. Reviews can be vital for manufacturers to get insights into consumer opinions and ...
  • Relationships between climatic factors to the paddy yield in the North-Western Province of Sri Lanka 
    Wickramasinghe, Lasini; Jayasinghe, Jeevani; Rathnayake, Upaka (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Climate variation is one of the major impacting issues for paddy cultivation. It also highly impacts the harvest. Therefore, many researchers try to understand the relationships between climatic factors and harvest using ...
  • Novel computational approaches for border irregularity prediction to detect melanoma in skin lesions 
    Abeysinghe, D.V.D.S.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Medical image detection has been a rapidly growing field of study during the last few years. There are different challenges associated with it. Many works have been done in order to provide solutions for key challenges. ...
  • Intelligent changeover solution for a domestic hybrid power system 
    Herath, H.M.R.M.; Tharindu, K.H.S.; Fernando, K.D.M.; Alahakonn, P.M.K.; Hirshan, R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Electricity plays a major role in the modern world as almost all the equipment used is operated using electricity. Electricity demand of the world is increasing day by day and there should be a proper mechanism to meet the ...
  • Predicting examination performance using machine learning approach: A case study of the Grade 5 scholarship examination in Sri Lanka 
    Ranawaka, U.M.; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Universal primary school education is a must requirement and one of the criteria that should be fulfilled by the developing countries according to the International development goals which are also recognized as “Eight ...
  • A survey on applying machine learning to enhance trust in mobile adhoc networks 
    Jinarajadasa, G.M.; Liyange, S.R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Mobile ad-hoc networks (MANETs) play a vital role in the increasingly networked world where it has many applications in plenty of important fields including military sector, business applications, social networks such as ...
  • Extending use-case point-based software effort estimation for Open Source freelance software development 
    Senevirathne, Dharshitha Srimal; Wijayasiriwardhane, Thareendhra Keerthi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Accurately predicting the software development effort is very crucial when delivering the software systems on time, within the budget and with the required functionality. Overestimation of the software development effort ...
  • A solution to overcome speech disorder of patients using Brain Neuron EEG Signals 
    Jayawickrama, J.A.D.T.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Speech disorders are neurodevelopmental disorders such as Stuttering, Dysarthria, Dysphonia and Aphasia associated with left inferior frontal structural anomalies that involve repeating or prolonging a word, syllable or ...
  • Industry 4.0 readiness assessment for apparel industry: A study in the Sri Lankan context 
    Lakmali, Erandika; Vidanagamachchi, Kasuni; Nanayakkara, Julian (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Sri Lankan apparel industry is the most significant and driving contributor to the country’s economy by constituting a large portion of GDP. In the highly competitive apparel world, manufacturers search solutions for ...
  • Identification of factors and classifying the accident severity in Colombo - Katunayake expressway, Sri Lanka 
    Kushan, M.A.K.; Chandrasekara, N.V. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Sri Lanka’s expressway system was launched in 2011 and now owns three major expressways. Many peoples choose expressways rather than normal ways due to the reasons of time, traffic, easy of driving, etc. According to police ...
  • Initiating customer relationship measurement at small and medium enterprises with low computational cost 
    Weerakoon, Tharika Chalani; Rathnayaka, Kapila Tharanga (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Modern business entities re-engineer all core business and secondary business activities for customer satisfaction, thereby boosting profit margins. In re-engineering efforts, businesses require immense data processing and ...
  • Profiling purchasing behavior of Generation Z 
    Kahawandala, Nadeesha; Peter, Suren; Niwunhella, Hiruni (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Generation Z has emerged as one of the most mystifying consumers as they are tech-savvy, digitally connected and educated users of technologies in the marketplace. These digital natives are predicted to account for around ...
  • Contribution of reflection in language emergence with an under-restricted situation 
    Todo, Kense; Yamamura, Masayuki (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Owing to language emergence, human beings have been able to understand the intentions of others, generate common concepts, and extend new concepts. Artificial intelligence researchers have not only predicted words and ...
  • Ecosystem mapping technology to understand innovation challenges in MSME Sector: An analysis of the handicraft sector in Sri Lanka 
    Chathura Rajapakse (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    This paper discusses an application of ecosystem mapping technology to visualize the innovation ecosystem in the Micro, Small and Medium Enterprises (MSME) sector. Ideally, actors in the MSME sector should function as a ...
  • Sentiment classification of Sinhala content in social media 
    Jayasuriya, Pradeep; Ekanayake, Sarith; Munasinghe, Ranjiva; Kumarasinghe, Bihara; Weerasinghe, Isuru; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    In this study, we focus on the classification of Sinhala social media sentiments into positive and negative classes for a particular domain (sports). We have employed machine learning algorithms and lexicon-based sentiment ...
  • Keyword extraction from Tweets using NLP tools for collecting relevant news 
    Jayasiriwardene, Thiruni D.; Ganegoda, Gamage Upeksha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Keywords play a major role in representing the gist of a document. Therefore, a lot of Natural Language processing tools have been implemented to identify keywords in both structured and unstructured texts. Text that appears ...
  • Detecting human emotions on Facebook comments 
    Chathumali, E.J.A.P.C.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Human emotion detection plays a vital role in interpersonal relationships. From the early eras, automatic recognition of emotions has been an active research topic. Today, sharing emotions on social media is one of the ...
  • Impact of metacognition and age group on contemporary video game interface and gameplay design 
    Harischandra, Nandunie N.; Jayakody, Lahiru A.; Madusanka, Tiroshan (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Metacognition is about “learning about learning” [1]. However, this theory is far more complicated. This allows people to take charge of their own learning. It involves awareness of how they learn, and evaluation of their ...
  • Affective gaming in real-time emotion detection and music emotion recognition: Implementation approach with electroencephalogram 
    Kalansooriya, Pradeep; Ganepola, G.A.D. ,; Thalagala, T.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    Affective Gaming can be considered as the concept of detecting the real-time emotional state of a player during various stages in gameplay and then enhancing the user interactivity accordingly to the emotional state. Based ...

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