Browsing by Author "Kandawala, D. S. A"

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Embargo
A case study of Sri Lanka oil price fluctuations and its influencing factors using predictive analytics
(IEEE, 2016-12-19) Kandawala, D. S. A; Ramanayake, R. T; Bogahawatte, K. G. L; Mansoor, M. A. M; Wanniarachchi, D. M; Asanka, P. P. G. D
Oil is one of the most crucial commodity and energy resource that guarantee the evolution of the economy and industry of a country. The price fluctuation of the oil would be the emerging factor to be concerned and discussed generally in political and economic circle in each and every country. In Sri Lanka also the problem would be same when it comes to oil industry and its influencing factors for price fluctuation. This paper provides a comprehensive implementation of data warehousing process for the petroleum industry data set. Based on the data collection, a broad data analysis has been conducted to discover patterns of oil prices and sales variation with respect to the political and economic impact factors of Sri Lanka. Through the analysis, it has proven that the influencing factors would affect to the oil prices and sales accordingly. Furthermore, this aims to present few predictions based on the analysis.
Embargo
A database optimization model with quantitative benchmark
(IEEE, 2016-03-11) Murray, I; Jayakody, A; Herrmann, J; Lokuliyana, S; Kandawala, D. S. A; Nanayakkara, S. E. C
Query optimization and indexing have an immense impact on database optimization. This has been considered in many different perspectives which provide several different solutions in each case. The purpose of this paper is to primarily provide a comprehensive review and discussion of the core problems through the research on query optimization technology and indexing, based on a number of optimization techniques commonly used in the general approach of a query. A new database optimization model is designed and experiments show that this model can significantly reduce the amount of query execution time to improve the optimization efficiency. Regardless of research on the database optimization model, significant work has been done to comparatively evaluate three scenarios; non-optimized query, optimized query without following any optimization standard, and optimized query via proposed optimization model using the same experimental methodology. Further, this paper describes a benchmark that was developed specifically for the purpose of measuring the quantitative evaluations of the proposed database optimization model.
Open Access
A Framework for Macroeconomic Stress Testing on Credit Risk Management in Banking Sector
(researchgate.net, 2017-08) Kandawala, D. S. A; Jayakody, J. A. D. C. A
- In Sri Lanka the financial System composes the leading financial institutions which are associated with increased growth of an economy and contributes to the nation’s growth as well. Hence Financial system stability has become an integral part which safeguards financial system which is able to hold off external and internal shocks. This Process implements a healthy environment for investors and encourages financial markets and institutes for the efficient and effective functioning. The maintenance of financial system stability leads to analyze and emphasize potential vulnerabilities and risks to the financial system. Among the potential vulnerabilities and risks, Credit risk can be introduced as the dominant and leading macroeconomic risk factor in many banking sectors which has been introduced as the problem towards the financial system stability. Therefore Credit risks must be managed from financial crisis to enhance the performance, sustainable growth and consistent profitability for the betterment of financial system stability. The purpose of this research project is to propose a framework to investigate the relationship between credit risk management and its impact on performance of the Sri Lankan Banking Sector.
Open Access
A Light Weight Provenance Aware Trust Negotiation Algorithm for Smart Objects in IoT
(Annual Technical Conference 2016, 2016) Jayakody, A; Rupasinghe, L; Mapa, N. T; Disanayaka, T. S; Kandawala, D. S. A; Dinusha, K. D
Internet of Things can be considered as the next big tide which advances towards the ICT realm. Many research communities have shown enthusiastic interest towards the variety of research topics which has been emerged into a discussion related to this novel concept. The research taxonomy of IoT is built upon several key pillars by considering its Complexity, Heterogeneity, and Versatility nature. Among these, security related research challenges can be considered as a key impacting domain. This particular research has been conducted with the special consideration towards Trust Negotiation among smart objects in order to satisfy provenance related criteria. Therefore this paper has suggested a light –weight, lesscomplex, comprehensive encryption algorithm by applying shuffling techniques in order to satisfy the origin identification.