Digital Repository

Browsing Smart Computing and Systems Engineering (SCSE) by Title

Browsing Smart Computing and Systems Engineering (SCSE) by Title

Sort by: Order: Results:

  • Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices 
    Kumarathunga, Malni; Calheiros, Rodrigo; Ginige, Athula (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Using scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest ...
  • Temporal preferential attachment: Predicting new links in temporal social networks 
    Wickramarachchi, Panchani; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Social networks have shown an exponential growth in the recent past. It has estimated that nearly 4 billion people are currently using social networks. The growth of social networks can be explained using different models. ...
  • Theoretical framework to address the challenges in Microservice Architecture 
    Premarathna, Dewmini; Pathirana, Asanka (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Microservice Architecture (MSA) is a recommended way to introduce the application software in a modularized manner instead of the traditional Monolithic Architecture (MA) approach due to the inherent advantages. The MSA ...
  • Thought identification through visual stimuli presentation from a commercially available EEG device 
    Gunawardhana, M. P. A. V.; Jayatissa, C. A. N. W. K.; Seneviratne, J. A. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Thought identification has been the ultimate goal of brain-computer interface systems. However, due to the complex nature of brain signals, classification is difficult. But recent developments in deep learning have made ...
  • Towards detecting morning surge from sleep self-evaluations 
    Takahashi, Masakazu; Sugahara, Noriyuki; Shibata, Masashi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    This paper aims to analyze the blood pressure transition during sleep. Morning surge is a sudden increase in blood pressure from awakening or before awakening. Morning surge is implicated in cardiovascular diseases, such ...
  • TQM Practices on Supply Chain Performance of Third- Party Logistics Services in Sri Lanka: The Moderating Role of Green Supply Chain Practices 
    Nawurunnage, K.; Prasadika, A.P.K.J.; Wijayanayake, A.N. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    The growing need to address the threat of global warming and greenhouse gas emissions has placed immense pressure on logistics companies to adopt sustainable practices. With logistics operations being a significant source ...
  • 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 ...
  • Traffic through - An effective right-turn-bay of signalized intersections for busy hours 
    Seneviratne, W.Y.H.; Jayasiri, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Sri Lanka, as a developing country, the traffic congestions are becoming severe day by day because of the population and the economic background. To overcome the congested areas, the traffic controlling light systems were ...
  • 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 ...
  • Use of LIME for Human interpretability in Sinhala document classification 
    Kumari, P. K. S.; Haddela, P.S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    With advancement of technology in Sri Lanka, use of Sinhala text usage has grown rapidly over the time where automatic categorization is helpful for efficient content management. As a result, experts tend to use machine ...
  • Utilizing mobile based technologies in monitoring solid waste in Sri Lanka: A case study 
    Dasinaa, S.; Rajivkanth, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    An exponential increase in solid waste is a crucial concern for all citizens including policy makers. This issue has been building up over a period of time due to inadequate planning and implementation of measures to ...
  • Vehicle type validation for highway entrances using convolutional neural networks 
    Juwanwadu, L.N.W.; Jayasiri, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Vehicle type validation for Highway entrances using convolutional neural networks is an approach taken to automate the highway toll systems of Sri Lanka. Available automated highway toll systems in the world use sensor-based ...
  • Vibration analysis to detect and locate engine misfires 
    Jayasooriya, Prathap V.; Siriwardana, Geethal C.; Bandara, Tharaka R. (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021)
    Vibration analysis is used to detect faults and anomalies in machinery and other mechanical systems that produce vibrations during operation. The study aimed to develop an algorithm that can detect and locate engine faults ...
  • Vision-based automatic warning system to prevent dangerous and illegal vehicle overtaking 
    Athree, Mahinsa; Jayasiri, Anusha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)
    The purpose of this research is to implement a system that can be a help for drivers to drive vehicles safely and reducing accidents. Most of the accidents have occurred when overtaking. The driver has to consider the ...
  • VoiceNote: An Intelligent tool for monetary transactions with integrated voice support 
    Hashan, B.; Abeyrathna, Y.; Kaluaratchi, M.; Piyalath, A.; Thelijjagoda, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    The smart phone has become a critical aspect of our daily lives, with many applications providing solutions to different problems that we encounter. Fintech have become a major priority in the present world. The use of ...
  • Web application securing methods 
    Wickramasinghe, B.K.T.P.; Wedasinghe., N. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Web applications are one of the most prevalent platforms for information and services delivery over Internet today. As they are increasingly used for critical services, web applications become a popular and valuable target ...
  • Web-Based Data Hiding: A Hybrid Approach Using Steganography and Visual Cryptography 
    Ediriweera, Seniru; Dilhara, B.A.S.; Disanayaka, Chamara (Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023)
    In today's digital age, protecting sensitive data during transmission and storage is a critical concern. The rise of cyber threats has made it essential to develop secure communication channels to prevent unauthorized ...
  • 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 ...
  • A wireless sensor network based autonomous logistic trolley system for factory automation 
    Perera, M.S.H.; Prasadini, M.M.N.; Karunarathne, C.N.; Chathurangi, M.; Samarasinghe, P.; Jinasena, T.M.K.K. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    This paper presents the low cost autonomous logistic trolley for factory automation. Automation can be defined as the technology by which a process or procedure is performed without human assistance. Factory automation has ...

Search Digital Repository


Advanced Search

Browse

My Account