Digital Repository

Browsing by Author "Wijegunasekara, M.C."

Browsing by Author "Wijegunasekara, M.C."

Sort by: Order: Results:

  • Android Shopping Cart Application (ASCA) 
    Bandara, K.; Wijegunasekara, M.C. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2017)
    Due to the busy lifestyle of people in today’s society it has become more convenient for them to buy all their daily shopping items in one place. Therefore, shopping grocery items in a supermarket has become a common ...
  • Android Tablet based Menu and Order Management System for restaurants 
    Medhavi, Y.A.U.; Wijegunasekara, M.C. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2016)
    The traditional way of taking order services in a restaurant is that, once the customer selects the food and beverages from a paper menu, the waiter uses a pen and paper to take the order. Then the waiter gives the order ...
  • Applying Smart User Interaction to a Log Analysis Tool 
    Semini, K.A.H.; Wijegunasekara, M.C. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2016)
    A log file is a text file. People analyze these log files to monitor system health, detect undesired behaviors in the system and recognize power failures and so on. In general these log files are analyzed manually using ...
  • Optimization of SpdK-means Algorithm 
    Gunasekara, R.P.T.H.; Wijegunasekara, M.C.; Dias, N.G.J. (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016)
    This study was carried out to enhance the performance of the k-mean data-mining algorithm by using parallel programming methodologies. As a result, the Speedup k-means (SpdK-means) algorithm which is an extension of ...
  • Performance of k-mean data mining algorithm with the use of WEKA-parallel 
    Gunasekara, R.P.T.H.; Dias, N.G.J.; Wijegunasekara, M.C. (University of Kelaniya, 2013)
    This study is based on enhancing the performance of the k-mean data mining algorithm by using parallel programming methodologies. To identify the performance of parallelizing, first a study was done on k-mean algorithm ...
  • Productive Web Application for Construction Guiding, Consulting and Providing Services 
    Padmasiri, K.M.P.U.; Wijegunasekara, M.C. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2021)
    Up to now, the Internet provides a vast platform for industries to expand their business opportunities. However, people do not obtain the maximum benefit from using modern technology in the construction process. For example, ...
  • A Study on Loan Performance Using Data Mining Techniques 
    Thisara, E.B.; Wijegunasekara, M.C. (Faculty of Graduate Studies, University of Kelaniya, 2015)
    Most of the modern financial companies offer loans to customers in order to build up their own business. Such companies have a major problem when they recover the loan as the customers do not pay the installments according ...
  • T-Moms for Restaurants 
    Medhavi, Y.A.U.; Wijegunasekara, M.C. (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016)
    The aim of this study was to identify the drawbacks of a restaurant order management system and suggest a solution. Several such systems were studied and it was identified that customers waiting time to receive an order ...
  • A Virtual Dressing System 
    Rajasinghe, R.M.C.N.A.; Wijegunasekara, M.C. (University of Kelaniya, 2013)
    Virtual dressing rooms are a relatively new concept, which is slowly becoming a trend on various fashion websites. The virtual dressing room allows a customer who is at home, to virtually try on dresses, and other fashions ...

Search Digital Repository

Browse

My Account