Browsing by Author "De Silva, N."

Now showing 1 - 3 of 3

Embargo
APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kodagoda, C.; Kodagoda, 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.
Embargo
A Network Science-Based Approach for an Optimal Microservice Governance
(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 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.
Open Access
Reduced Graphene Oxide-Based Hybrid Electrospun Nanofibers Doped with Green- Synthesized Silver Nanoparticles: An Antibacterial Wound Healing Scaffold
(Department of Applied Sciences. Faculty of Humanities and Sciences,SLIIT, 2025-10-10) Sithumini, A. G. P. M.; Rajapakshe, D. N.; De Silva, N.
This research focuses on the development of novel antibacterial electrospun fibers composed of polyvinyl alcohol (PVA), hydrolyzed collagen (HC), and reduced graphene oxide (rGO), further modified with silver nanoparticles (AgNPs) for potential wound healing applications. Green synthesis of AgNPs, using a tea extract, was verified by a colour change from yellowish-brown to dark brown and the appearance of a UVVis absorbance peak at 450 nm. Scanning Electron Microscopy (SEM) revealed mostly spherical AgNPs with a primary size distribution between 10 and 50 nm. Energy Dispersive X-ray (EDX) analysis confirmed the presence of Ag atoms (a characteristic peak at 3 keV). Particle size analysis indicated an average AgNP size of 133 nm, with a particle size distribution showing a high-intensity peak at 299 nm and a lower-intensity peak at 18.39 nm, and a polydispersity index (PDI) of 0.471. SEM images of rGO-containing mats showed well-preserved fiber morphology with uniformly distributed AgNPs, in contrast to mats without rGO, where significant AgNP agglomeration covered fiber visibility. This suggests rGO's role in preventing nanoparticle aggregation and enhancing dispersion. Swelling ratio analysis demonstrated superior swelling in rGO-containing mats, reaching 390.48% after 48 hours compared to 273.6% for mats without rGO. The incorporation of rGO improves the antibacterial performance and mechanical properties of the scaffold, while green-synthesized nanoparticles further enhance the antibacterial efficacy.