Smart Computing and Systems Engineering (SCSE): Recent submissions

  • Design and development of pump based chocolate 3D printer 
    Rajapaksha, R. R. A. K. N.; Thilakarathne, B. L. S.; Kondarage, Yashodha G.; De Silva, Rajitha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The use of 3-Dimensional (3D) printing, known as Digital fabrication (DF) or additive manufacturing (AM), technology in the food sector has countless potential to fabricate 3D constructs with complex geometries, customization, ...
  • A novel approach for weather prediction for agriculture in Sri Lanka using Machine Learning techniques 
    Premachandra, J. S. A. N. W.; Kumara, P. P. N. V. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Climate variability in recent years has critically affected the usual aspects of human lives, where the agriculture sector can be considered as one of the most vulnerable. Sri Lanka is also facing these climate changes ...
  • Application of Game Theory on financial benefits and employee satisfaction: Case study of a state bank of Sri Lanka 
    Jayasekara, D. D. G. T.; Wijayanayake, A. N.; Dissanayake, A. R. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The principal agent problem revolves around the competing interest between shareholders and the employees. The organization focus is on maximizing shareholder wealth, while employees try to obtain the maximum benefits for ...
  • Reduce food crop wastage with hyperledger fabric-based food supply chain 
    Premarathna, Dewmini (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Food is the utmost important thing for every living being. The quality and safety of food has become a crucial factor in the food industry. Most of the customers tend to pay more attention to food safety and seek to get ...
  • A MILP model to optimize the proportion of production quantities considering the ANP composite performance index 
    Thalagahage, N. T. H.; Wijayanayake, A. N.; Niwunhella, D. H. H. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The apparel industry is considered as one of the most labor-intensive industries where Production Planning and Control (PPC) is considered as an important function, because of its involvement from scheduling each task in ...
  • Model to optimize the quantities of delivery products prioritizing the sustainability performance 
    Prabodhika, A. P. K. J.; Niwunhella, D. H. H.; Wijayanayake, A. N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Many manufacturers and retailers often outsource their logistics functions to Logistics Service Providers (LSPs) to focus more on their core business process. Due to the competitiveness and the popularity of the sustainability ...
  • Solution approach to incompatibility of products in a multi-product and heterogeneous vehicle routing problem: An application in the 3PL industry 
    Weerakkody, H. D. W.; Niwunhella, D. H. H.; Wijayanayake, A. N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Vehicle Routing Problem (VRP) is an extensively discussed area under supply chain literature, though it has variety of applications. Multi-product related VRP considers about optimizing the routes of vehicles distributing ...
  • Comparison of supervised learning-based indoor localization techniques for smart building applications 
    Maduraga, M. W. P.; Abeysekara, Ruvan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Smart buildings involve modern applications of the Internet of Things (IoT). Intelligent buildings could include applications based on indoor localization, such as tracking the real-time location of humans inside the ...
  • An exploratory evaluation of replacing ESB with microservices in service-oriented architecture 
    Weerasinghe, L. D. S. B.; Perera, Indika (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    With the continuous progress in technology during the past few decades, cloud computing has become a fast-growing technology in the world, making computerized systems widespread. The emergence of Cloud Computing has evolved ...
  • Application of AlexNet convolutional neural network architecture-based transfer learning for automated recognition of casting surface defects 
    Thalagala, Shiron; Walgampay, Chamila (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Automated inspection of surface defects is beneficial for casting product manufacturers in terms of inspection cost and time, which ultimately affect overall business performance. Intelligent systems that are capable of ...
  • TrackWarn: An AI-driven warning system for railway track workers 
    Amjath, M. I. M.; Kuhanesan, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Automated inspection of surface defects is beneficial for casting product manufacturers in terms of inspection cost and time, which ultimately affect overall business performance. Intelligent systems that are capable of ...
  • Student concentration level monitoring system based on deep convolutional neural Network 
    Shamika, U. B. P.; Panduwawala, P. K. P.G.; Weerakoon, W. A. C.; Dilanka, K. A. P. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    As synchronous online classrooms have grown more common in recent years, evaluating a student's attention level has become increasingly important in verifying every student's progress in an online classroom setting. This ...
  • Estimation of the incubation period of COVID-19 using boosted random forest algorithm 
    Rathnayake, P. P. P. M. T. D.; Senanayake, Janaka; Wickramaarachchi, Dilani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Coronavirus disease was first discovered in December 2019. As of July 2021, within nineteen months since this infectious disease started, more than one hundred and eighty million cases have been reported. The incubation ...
  • Feature selection in automobile price prediction: An integrated approach 
    Selvaratnam, Sobana; Yogarajah, B.; Jeyamugan, T.; Ratnarajah, Nagulan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Machine learning models for predictions enable researchers to make effective decisions based on historical data. Automobile price prediction studies have been a most interesting research area in machine learning nowadays. ...
  • What makes job satisfaction in the information technology industry? 
    Arambepola, Nimasha; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Having a rich human resource is critical for an organization to move towards success. Especially, for business organizations such as technology companies, the human resource is the driving factor of the company's growth ...
  • Deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka 
    Sangeevan, Siventhirarajah (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The study proposes a deep learning-based pesticides prescription system for leaf diseases of home garden crops in Sri Lanka. It is an intelligent system to get suitable pesticides prescriptions for plant leaf diseases. ...
  • Implementation of a personalized and healthy meal recommender system in aid to achieve user fitness goals 
    Lokuge, Chamodi; Ganegoda, Gamage Upeksha (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Recent research implies that people’s urge to stay healthy and fit has drastically improved and currently, many people are in need to maintain their physical fitness incorporating healthy food habits into their lives amidst ...
  • A community-based hybrid blockchain architecture for the organic food supply chain 
    Thanujan, Thanushya; Rajapakse, Chathura; Wickramaarachchi, Dilani (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    This paper presents a novel blockchain architecture to incorporate community-level trust into the organic food supply chain by hybridizing Proof of Authority (PoA) and Federated Byzantine Agreement (FBA) consensus protocols. ...
  • Exploiting optimum acoustic features in COVID-19 individual’s breathing sounds 
    Milani, M. G. Manisha; Ramashini, Murugaiya; Murugiah, Krishani; Chamal, Lanka Geeganage Shamaan (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    The world is facing an extreme crisis due to the COVID-19 pandemic. The COVID-19 virus interrupts the world’s economy and social factors; thus, many countries fall into poverty. Also, they lack expertise in this field and ...
  • A tree structure-based classification of diabetic retinopathy stages using convolutional neural network 
    Peiris, M. S. H.; Sotheeswaran, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Detection, and classification of medical images have become a trending field of study during the last few decades. There is a considerable amount of vital challenges to be overcome. Ample work has been carried out to provide ...

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