Research Papers - Dept of Information of Management

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/607

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Author: search.filters.author.Krishara, JHas files: Yes

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    Sell-Net: Mobile Based Solution to Strengthen the Seller-Buyer Relationship of Small-Scale Businesses in Sri Lanka
    (IEEE, 2022-01-21) Wickramarathne, N; Siriwardana, U; Karunarathna, A; Jeremiah, P; Thelijjagoda, S; Krishara, J
    As a developing country, Sri Lanka is getting a greater number of people who are using an online application and online purchase for various kinds of items nowadays. The number of users is highly increasing day by day. These online applications and their usages have a major role in the economy of Sri Lanka. The usage of online purchasing is widely observed in Sri Lanka as well it has been observed that most of the delivery persons and small-scale business people are facing many challenges while using these applications in practical ways. This is an application that connects small-scale business sellers directly to the buyer on an online platform. Goods Delivery vehicles are widely spread in Sri Lanka with traveling their paths. Most of the time they traveled with some extra free spaces. Authors are trying to manage these vehicles to give up an extra service and get extra income with proper management. It tries to improve the service to get more people an advantage and build up their businesses. This app aims at three main user areas: seller, delivery persons, and buyer. The buyer can place the order for these goods through the online platform and then the system calculates and find the nearest driver to the seller and choose the driver. From using the app driver sees the best path to the seller. Also, there's an algorithm to calculate ordered goods type, quantity, size and select which vehicle is suited for delivering these goods. The delivery person delivers those goods to the buyer by their path. The System tracks down until the buyer received their goods. and also detecting the fake review also if buyer using this application never get unsatisfied for the practical usage. The outcome of this project will help to develop a reliable seller-buyer relationship for small-scale business parties and improve their business activities.
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    A Mobile-Based Screening and Refinement System to Identify the Risk of Dyscalculia and Dysgraphia Learning Disabilities in Primary School Students
    (IEEE, 2021-08-11) Hewapathirana, C; Abeysinghe, K; Maheshani, P; Liyanage, P; Krishara, J; Thelijjagoda, S
    Learning Disability is a condition that has a direct effect on the brain and there is no cure or any identified medical treatments. Most of these cases remain undiagnosed due to the lack of awareness from their parents and teachers in underdeveloped countries like Sri Lanka. Mobile application-based solution ‘Nana Shilpa’ was developed for the screening and intervention processes for the specific Learning Disabilities which are Verbal and Lexical Dyscalculia, Operational and Practognostic Dyscalculia, Letter Level Dysgraphia and Numeric Dysgraphia. Deep Learning with Machine Learning techniques is used in the screening process to provide a better solution. To detect the written letters/numbers, trained Convolutional Neural Networks (CNN) achieved the accuracy of 92%, 99%, 99% for Verbal and Lexical Dyscalculia, Letter Level Dysgraphia and Number Dysgraphia respectively. The Machine Learning algorithms used for screening processes are Support Vector Machine (SVM) and Random Forest (RF). In the machine learning models, it is achieved the accuracy of 98%, 97% for Operational and Practognostic Dyscalculia and Number Dysgraphia respectively. In Sri Lanka, this has been recognized as an acceptable solution for screening and intervention via a mobile-based application for above mentioned four variants of learning disability conditions which are developed based on the gaming environment.