Faculty of Computing

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4202

Browse

Filters

2019 - 201912020 - 20212

Advanced Search

Filter by

Settings

Author: search.filters.author.De Silva, N

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationEmbargo
    APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics
    (IEEE, 2021-12-09) Kodagoda, C; Madampe, V; Ekanayake, R; De Silva, N; Wijesundara, M; Atapattu, P
    As technology advances, new ways of teaching and learning can be discovered. Online learning platforms are able to provide easy, informative, and effective methods of delivering information since people are getting more accustomed to the use of e-learning. With the help of Artificial Intelligence, these methods can be refined to understand the users on a deeper level and provide services that are helpful and are more tailored to each user. The purpose of this project is to design an e-learning platform equipped for both educators and students. The system will be able to allow users to record/upload lecture sessions and other related study materials to the service which in return, with the use of Artificial Intelligence, try to understand the context of each lesson, segment videos, generate questions and deliver the materials to the Learner. The system will use various inputs from the Learner including video observation time, watched duration, types of videos watched, answers for questions, etc. to build a comprehensive profile of Learners. The system will use the knowledge gathered to provide services such as recommendations to the Learner, track the progress of the Learner as well as provide useful statistics of lecture materials to the Content Providers.
  • Thumbnail Image
    PublicationEmbargo
    RFID Based Theft Detection System for Automobile Parts
    (IEEE, 2019-12-05) Jayakody, A; Nishshanka, S; Liyanage, N; De Silva, N; Abhayawardhana, A
    Vehicle parts theft is an area of crime where less attention is being paid and weak countermeasures are being used in Sri Lanka. A survey has been conducted to find the need of an enhanced vehicle security system which can detect theft and authenticity of vehicle parts, and also to identify which vehicle parts are being commonly stolen in Colombo, Sri Lanka. In consonance with the results of the survey, it was obvious of the need for such vehicle security system. This research paper presents the design, implementation and testing of the prototype model that has been built as the proposed solution to prevent or minimize vehicle parts theft and detect the authenticity of the vehicle parts, if original parts of the vehicle were replaced with aftermarket parts without the user's consent. Theft and authenticity of vehicle parts are detected using RFID technology in the developed prototype model. To make this vehicle security system an affordable solution to the vehicle owners, a single low-cost RFID reader is used and an anti-collision mechanism is built based on TDM and signal relaying, as a cost cutting strategy to read multiple RFID tags.
  • Thumbnail Image
    PublicationEmbargo
    A Network Science-Based Approach for an Optimal Microservice Governance
    (IEEE, 2020-12-10) Siriwardhana, G. S; De Silva, N; Jayasinghe, L. S; Vithanage, L; Kasthurirathna, D
    In today's world of software application development, Kubernetes has emerged as one of the most effective microservice deployment technologies presently available due to its exceptional ability to deploy and orchestrate containerized microservices. However, a common issue faced in such orchestration technologies is the employment of vast arrays of disjoint monitoring solutions that fail to portray a holistic perspective on the state of microservice deployments, which consequently inhibit the creation of more optimized deployment policies. In response to this issue, this publication proposes the use of a network science-based approach to facilitate the creation of a microservice governance model that incorporates the use of dependency analysis, load prediction, centrality analysis, and resilience evaluation to effectively construct a more holistic perspective on a given microservice deployment. Furthermore, through analysis of the factors mentioned above, the research conducted, then proceeds to create an optimized deployment strategy for the deployment with the aid of a developed optimization algorithm. Analysis of results revealed the developed governance model aided through the utilization of the developed optimization algorithm proposed in this publication, proved to be quite effective in the generation of optimized microservice deployment policies.