Research Papers - Dept of Information Technology

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593

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    Analysis and performance of CMA blind deconvolution for image restoration
    (Wiley Online Library, 2015-09) Samarasinghe, P; Kennedy, R. A
    In this paper we study the applicability of classical blind deconvolution methods such as constant modulus algorithm (CMA) for blind adaptive image restoration. The requirements such as the source to be white, uniformly distributed and zero mean, which yield satisfactory convergence in the data communication application context, are revisited in the image restoration context, where a linear deblur kernel needs to be blindly adapted to compensate for an unknown image blur kernel with the objective to recover a source ground truth image. Through analysis and performance studies, we show that the performance of CMA is adversely affected by the intrinsic spatial correlation of natural images and by any deviation of their distribution from being platykurtic. We also show that decorrelation techniques designed to overcome spatial correlation cannot be effectively applied to rectify CMA performance for blind adaptive image restoration
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    Operational Performance and Security Improvement Approach for Integrated BigData and Industrial IoT in Cyber-Physical Communication Systems
    (IEEE, 2019-05-09) Jayawardena, C; Sen, S
    Well-performed secure computing and communication are at the forefront for Internet of Things (IoT) and Cyber-Physical Systems (CPS). By using these innovative technologies, Industrial-IoT (IIoT) has revolutionized the smart industrial processes while this evolution imposes mandatory requirements of reliable, cybersecure and well performed network. This implants adopting effective approaches of improving performance and cybersecurity in IIoT networks towards building a trusted cyber-physical communication. IIoT generates huge data of which some are real-time and rest are big data which needs assurance of delivery without loss. This report has modeled the performance and security issues of intelligent physical systems. While demonstrating the performance and security strategies of improving them, this paper addresses issues for consideration to overcome the security and performance improvement bottlenecks.
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    Analysis of network techniques and cybersecurity for improving performance of big data IoT and cyber-physical communication internetwork
    (IEEE, 2019-02-13) Sen, S; Jayawardena, C
    The Internet of Things (IoT) and Cyber-Physical Systems (CPS), are generating wide spread data. The success of these trio depends on a well performed cyber-communication infrastructure. This necessitates improving the performance of the cyber-communication internetwork; this performance improvement includes optimization of network techniques as well as the security of the cyber-network. Internet infrastructure has been upgraded to higher level ever than before, where we are enjoying technologies like fibre, 10-gig ethernet and even 100-gig ethernet, but there is no guarantee of communication in the cyber space, internet still providing packet delivery on "best effort" basis. On the other side, cyber hackers are targeting big physical infrastructures, industrial hardware in addition to the financial institutions. Therefore, it has become vital to address secure and faster data communications, in order to improve the Performance of the Internetwork.