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Browsing Smart Computing and Systems Engineering - 2022 (SCSE 2022) by Title

Browsing Smart Computing and Systems Engineering - 2022 (SCSE 2022) by Title

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  • Adding Commonsense to Robotic Application Using Ontology-Based Model Retraining 
    Pradeepani, M. K. T.; Jayawardena, C.; Rajapaksha, U. U. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    In terms of the level of technological capability in the world today, the use of automated robotics is common in various fields. There are large projects going on in many industries that collaborate between robots and other ...
  • Analyzing Factors that Impact on Performance of Pickers in Third-Party Logistics Warehouses in Sri Lanka 
    Prasadika, A. P. K. J.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Order picking is the most crucial and expensive operation in a warehouse which affects customer satisfaction and the profitability of the warehouse. Picker is the employee who is responsible for the order picking process. ...
  • Automated Spelling Checker And Grammatical Error Detection And Correction Model for Sinhala Language 
    Goonawardena, Mithma; Kulatunga, Ashini; Wickramasinghe, Raveena; Weerasekara, Thisuraka; De Silva, Hansi; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Sinhala is a native language spoken by the Sinhalese people, the largest ethnic group in Sri Lanka. It is a morphologically rich language, which is a derivation of Pali and Sanskrit. The Sinhala language creates a diglossia ...
  • A Blockchain-Based Decentralized Insurance Platform 
    Alwis, Santhusha; Jinasena, T. M. K. K. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Blockchain technology is considered as revolutionary for its potential to revolutionize many sectors by addressing existing issues in the traditional systems. A blockchain is a digital ledger consisting of transaction ...
  • Common Object Request Broker-based Publisher-Subscriber Middleware for Internet of Things - Edge Computing 
    Perera, Hansani; Jayakody, Anuradha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The edge computing layer in IoT reduces the flow of a massive amount of data directly to the cloud by processing some data in the local network. The middleware in the layer enables this processing of data and the communication ...
  • A Comparative Study of Clustering English News Articles Using Clustering Algorithms 
    Disayiram, N.; Rupasingha, R. A. H. M. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The news informs us of what is going on in the world. People nowadays read their interesting news on news websites. There are numerous categories of news. Each newsreader has a different preference for news categories. ...
  • A Comprehensive Review on Vision-based Sign Language Detection and Recognition 
    Weerasinghe, R. L.; Ganegoda, G. U. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Deaf or hard-hearing people's primary mode of communication is sign language. Communication between hard hearing and hearing people is greatly aided by sign language recognition technologies. With the advent of technology, ...
  • Creating a Sri Lankan Micro-Emotion Dataset for a Robust Micro-Expression Recognition System 
    Jayakodi, J. A. L. P.; Jayamali, G. G. S. D.; Hirshan, R.; Aashiq, M. N. M.; Kumara, W. G. C. W. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    In interpersonal communication, the human face provides important signals of a person’s emotional states and intentions. Furthermore, micro-emotions play a major role in understanding hidden intentions. In psychological ...
  • Deep Hybrid Learning Framework for Plant Disease Recognition 
    Hewarathna, Ashen Iranga; Palanisamy, Vigneshwaran; Charles, Joseph; Thuseethan, Selvarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Following better agricultural practices is the key to catering for the ever-increasing food demand. While new technologies have been adapted over the years, there is still a need for effective plant disease recognition ...
  • Deep Neural Architectures for Ethnicity Classification in Face Images 
    Jayasekara, Buddhi G.; Hevapathige, Asela (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Ethnicity is a key metric of an individual’s identity, social cluster, physical behaviour and cultural association. Accurate ethnicity identification of humans is required in numerous fields like security, legislation, ...
  • Design of an Online Platform for the Agriculture Community to Localise Scientific Knowledge and Foster Sustainability 
    Pathirage, Samya; Ginige, Athula (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Sustainable agricultural practices are critical to emerging global hunger and environmental issues. Knowledge is the key to improving such practices. In agriculture, knowledge is categorized as local and scientific, where ...
  • Designing of a Voice-Based Programming IDE for Source Code Generation: A Machine Learning Approach 
    Nizzad, A.R. M.; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human speech or voice to textual ...
  • Detection of IoT Malware Based on Forensic Analysis of Network Traffic Features 
    Nimalasingam, Nisais; Senanayake, Janaka; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    The usage of Internet of Things (IoT) devices is getting unavoidable lately, from handheld devices to factory automated machines and even IoT embedded automotive vehicles. On average, 100+ devices are connected to the IoT ...
  • Developing A User-Friendly Interface from Robotic Applications Development 
    Fernando, W. A. M.; Jayawardena, C.; Rajapaksha, U. U. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    In this research, we have developed a web-based Robot Operating System (ROS) learning environment with its own set of tools. Our system is a comprehensive learning environment where students can go through the tutorials ...
  • An Effective Lateral Transhipment Model for A Multi-Location Inventory Setting to Minimize 
    Kumari, A.G.K.C.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Managing inventory levels to ensure on-shelf availability of products is a challenge that retailers face on a daily basis. Even though it is desirable to have additional inventory to ensure the availability of products, ...
  • Effectiveness of a VR-based Solution to Improve Practical Skills of Trainee Nurses in Sri Lanka 
    Aluthge, C. L. P.; Imeshika, K. A. S.; Weerasinghe, T. A.; Sandaruwan, K. D. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    This study describes educational design research conducted to determine the usability of a Virtual Reality (VR) based learning tool to practice nursing skills. With the advancement of technology, new technological solutions ...
  • An Emotion Classification Model for Driver Emotion Recognition Using Electroencephalography (EEG) 
    Gamage, T. A.; Kalansooriya, L. P.; Sandamali, E. R. C. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Road accidents have been a critical issue that has resulted in fatal injuries, disabilities, and deaths for many individuals worldwide. The notion of Human-Computer Interaction (HCI) is widely considered in monitoring ...
  • Ensemble Deep Learning for Automated Dust Storm Detection Using Satellite Images 
    Bandara, N. S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Dust storms are considered a severe meteorological disaster, especially in arid and semi-arid regions, which are characterized by dust aerosol-filled air and strong winds across an extensive area. Every year, a large number ...
  • An Ensemble Machine Learning Approach for Stroke Prediction 
    Premisha, P.; Prasanth, Senthan; Kanagarathnam, Mauran; Banujan, Kuhaneswaran (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    Nowadays, one out of four people above 25 will suffer from a stroke. Especially this year, with the highest count of around 13.7 million people discovered with stroke for the first time. Out of 13.7 million, 5.5 million ...
  • Evaluating the Factors that Affect the Adoption of Blockchain Technology in the Pharmaceutical Supply Chain - A Case Study from Sri Lanka 
    Paththinige, Pavani; Rajapakse, Chathura (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022)
    One of the significant causes of medicine counterfeiting is the pharmaceutical industry's inadequate supply chain system, which makes it hard to keep track of it. This study aims to identify the factors affecting the ...

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