http://dlib.iit.ac.lk/xmlui/handle/123456789/419 Wed, 08 Apr 2026 18:23:49 GMT 2026-04-08T18:23:49Z http://dlib.iit.ac.lk/xmlui/handle/123456789/426 Enabling Process Automation for Service Delivery Excellence and Growth in the Sri Lankan Healthcare Industry Pereira, Nishanie; Jayasena, Sanath Process automation concentrates on automating structured processes of an organization in order to achieve excellent service delivery by enabling the employees to pay more attention to semi structured or unstructured processes. Achieving service delivery excellence adds value to an organization, increases the customer retention and provides opportunity for strategic growth. The growth of the Sri Lankan healthcare sector is a necessity at this stage due to an increasingly ageing community and a significant increase in non-communicable diseases. Despite many regulations that govern the sector, it continues to be inundated with many problems in relation to delivery of healthcare services. This paper examines service delivery issues in the healthcare institutions in the Western province and suggests mechanisms for automating standard processes in order to achieve strategic growth. Sun, 01 Jan 2006 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/426 2006-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/425 Optimal Design of Distributed Databases De Silva, Daswin Pasantha L P; Dissanayake, Manjula The physical expansion of enterprises with the current trends in globalization has had a positive influence on the technologies of distributed systems. At the forefront of this technological revolution are distributed database systems. For a distributed database to be at optimal performance and thus provide an efficient service it needs to be designed appropriately. The significance of the perfect design is only emphasized by the multiple dimensions required in generating a design. The purpose of this paper is to suggest an approach to generate optimal designs for such distributed database systems and to develop a prototype to demonstrate the said approach. The approach emphasizes on the accuracy of inputs as it largely determines the quality of the final solution. Hence the extraction of network information, a key dimension, is automated to ensure precision. The global schema is fragmented considering data requirements as well as connectivity of each site. Allocation of fragments is treated as a combinatorial optimization problem and assigned to a memetic algorithm. An estimation of distribution algorithm complements the search effort of this memetic algorithm. Site options for replication server environments are investigated based on a shortest path algorithm. Usability of the system in an object oriented development environment, through conditional object-relational mapping, is also explored. The prototype was developed using an evolutionary prototyping approach. It was evaluated by several experts in the relevant fields of application. The results of which, confirmed the practicality of the suggested approach. Sun, 01 Jan 2006 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/425 2006-01-01T00:00:00Z http://dlib.iit.ac.lk/xmlui/handle/123456789/424 Analysis of Seismic Activity using the Growing SOM for the Identification of Time Dependent Patterns De Silva, Daswin Pasantha L P; Alahakoon, Damminda The growing self organizing map (GSOM), a variant of the self organizing map, is a dynamic feature map model used for knowledge discovery in high dimensional datasets. It has been used mainly to identify hidden patterns in static data in an unsupervised manner. Several extensions to the GSOM that enable dynamic data analysis have been proposed. In this paper we discuss such an extension and its capabilities in discovering time variant patterns in datasets of seismic activity. The results obtained by processing clusters generated by the GSOM using the data skeleton model and spread factor extensions, emphasize the usability of the GSOM in dynamic data analysis. Sun, 01 Jan 2006 00:00:00 GMT http://dlib.iit.ac.lk/xmlui/handle/123456789/424 2006-01-01T00:00:00Z