Browsing by Author "Jayasena, K.P.N."

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Behavior Segmentation based Micro-Segmentation Approach for Health Insurance Industry
(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Nandapala, E.Y.L.; Jayasena, K.P.N.; Rathnayaka, R.M.K.T.
To manage the company’s future growth, the relationship between companies and customers is important. This can be referred to as Customer Relationship Management (CRM). By applying the micro-segmentation process companies can succeed in this CRM process. Micro-segmentation is a breakdown into micro-segments of the entire data collection. The user can easily be deeply defined with this segmentation process. Demographic segmentation is a breakdown of the dataset based on the consumers’ age, gender, etc. Behavior segmentation is diving the whole dataset based on customers’ behaviors. RFM analysis is a behavioral segmentation process based on consumer’s behaviors. There is no exact way to precisely conduct micro-segmentation. Thus, this study proposed a new micro-segmentation process. That is applying demographic segmentation with the support of the RFM analysis. This method can easily determine the customers’ behaviors accurately and deeply. Insurance companies offer different types of insurance and health insurance is the most critical insurance type for humans. By applying the proposed method in this research, health insurance companies can determine the policyholder’s behaviors, claiming patterns, claiming chargers, and other information precisely. Furthermore, health insurance providers can effectively manage their claims using this knowledge.
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Permissioned Blockchain Platform to Enhance Scalability, Security and Performance Issues in Livestock Farms in Sri Lanka
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-11-09) Rathnayka, W.A.C.L.; Jayasena, K.P.N.
The blockchain is being applied in the food supply chain, livestock, and farm management to enhance food quality, management activities, and animal health and build trustworthy transactions. The present paper provides an overview of blockchain in livestock farming. This paper identifies the current research topics, their contribution, and the benefits o f applying blockchain in livestock farming. Blockchain applications in the livestock sector are increasing worldwide, and most of them are proposed for security and trust issues. This research study implements a permission-based blockchain platform to enhance the livestock sector’s scalability, security, and performance issues. The designated Platform aims to provide distributed digital data storage with animal disease tracking service and access control security mechanism that cannot be tampered with by an unauthorized person. The performance of the proposed blockchain is evaluated through a series of experiments using a different kinds of metrics.