Smart computing & Systems Engineering - (SCSE - 2019)

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/20146

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    A Scalable Bioinformatics Analysis Platform based on Microservices Architecture
    (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Rajapaksa, S.; Wickramarachchi, A.; Mallawaarachchi, V.; Rasanjana, W.; Perera, I.; Meedeniya, D.
    With the advancement of technologies, web services play a significant role to maintain infrastructure in healthcare domain due to the increasing demand of performance. In such systems, adoption of novel technologies is necessary to increase the productivity and reduce the burden of maintenance associated with legacy systems. Microservices architecture has become prominent in deploying server-side enterprise applications by allowing maintainable functionalities. However, it is challenging to utilize microservices in the domain of bioinformatics, although it enables independent process execution and maintenance. This paper introduces the utilization of microservices architecture to build an optimized platform for bioinformatics analyses. We present a hybrid architecture that consists of different hardware platforms to execute accelerated computational services, independently. The core communication is based on an Application Programming Interface (API) gateway. Furthermore, the paper presents the evaluation of results related to the performance of the proposed solution under varying biological sequences as inputs and algorithms
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    Multimodal user interaction framework for e-commerce
    (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Hewawalpita, S.; Perera, I.
    E-commerce has grown to be a major user of e-services and online purchases through e-commerce are largely preferred over the traditional brick and mortar purchasing. Yet it is challenging for the consumers to fully experience the products or services with limited senses, lack of tangibility and sense of presence. Therefore, the objective of this study is to assess how multimodal interactions can be used in e-commerce, to improve the consumer experience. This research describes the design and implementation of multimodal interactions enabled prototype framework for ecommerce developed to address that issue. The framework supports three interaction modes: speech inputs, gesture inputs and interactive 3D product presentations. A case study and a usability study conducted on this framework showed satisfactory results and also revealed some interesting social and cultural barriers to multimodal interactions that involve language and psychological factors