Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

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  • SAMS: An IoT Solution for Attendance Management in Universities 
    Gopinath, S.; Nagulan, R. (IEEE, 2019-10-17)
    An autonomous and effective platform for students' attendance management is presented in this paper by using most of the advanced technologies of the IoT (Internet of Things), such as mobility, wireless network, fingerprint ...
  • Scene-Specific Dark Channel Prior for Single Image Fog Removal 
    Anparasy, Sivaanpu; Kokul, Thanikasalam (University of Colombo School of Computing, 31-07-21)
    Extensive presence of fog in outdoor images severely alters the scene appearance and hence reduces the visibility. Image processing based defogging algorithms are used to restore the details and colour in a single foggy ...
  • Service Prioritization in Node-Disjoint Routing For Adhoc Networks Based On QoS 
    Suthaharan, S (International Journals of Scientific Knowledge (IJSK), 2013)
    Ad hoc network (MANET) is a collection of mobile nodes that can communicate with each other without using any fixed infrastructure. To support multimedia applications such as video and voice MANETs require an efficient ...
  • Single and Mixed Line Rate Variation for Dedicated Protection in Elastic Optical Networks 
    Suthaharan, S.; Puvanendran, R.; Chandrakumar, V. (EdHat International UK, 2018)
    WDM is a multiplexing technique of data transmission in which it divides the huge transmission bandwidth available on a fiber into several non-overlapping wavelength channels and enables data transmission over these channels ...
  • Single Image Defogging using Depth Estimation and Scene-Specific Dark Channel Prior 
    Kokul, T.; Anparasy, S. (IEEE, 19-01-21)
    Quality of outdoor images are often degraded under bad weather conditions by the extensive presence of suspended particles in the atmosphere such as fog and haze. Although, many single image defogging approaches have been ...
  • Some behavior of coarse structure and coarse equivalent 
    Kajan, N.; Kannan, K. (Union of researchers of Macedonia, 2022-09-05)
    I am going to introduce some properties of coarse structure. Coarse space is defined for large scale in metric space similar to the tools provided by topology for analyzing behavior at small distance, as topological property ...
  • Some Results on Fuzzy metric space and some examples of fuzzy b-metric space 
    Kajan, N.; Kannan, K. (Union of researchers of Macedonia, 2020-08-24)
    The problem of constructing a satisfactory theory of fuzzy metric spaces has been investigated by several researchers from different point of view. The concept of fuzzy sets was introduced by Zadeh. Following fuzzy metric ...
  • Sparse Matrix Vector multiplication using parallel algorithm with block striped partitioning 
    Kayanan, M.; Kanaganathan, S. (South Eastern University of Sri Lanka, 06-07-13)
    Parallel algorithm may be executed as a piece at a time on many processing devices, and then return results at the end. A sparse matrix is huge and consists many zero elements. Its execution process is extremely time-consuming. ...
  • Stochastic Restricted Biased Estimators in Misspecified Regression Model with Incomplete Prior Information 
    Kayanan, M.; Wijekoon, P. (Hindawi, )
    The analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multi collinearity exists among the explanatory variables. The Stochastic Restricted Ridge Estimator ...
  • Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Hindawi, 30-03-20)
    Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity ...
  • Structural connectivity asymmetry in the neonatal brain 
    Nagulan, R.; Graboi, Anne Rifkin; Fortier, M.V.; Chong, Y.S.; Kwek, K.; Saw, Seang-Mei; Godfrey, Keith M; Gluckman, P.D.; Meaney, M.J.; Qiu, A. (ElSEVIER/NeuroImage, 2013-07)
    Asymmetry of the neonatal brain is not yet understood at the level of structural connectivity. We utilized DTI deterministic tractography and structural network analysis based on graph theory to determine the pattern of ...
  • Target-Specific Siamese Attention Network for Real-time Object Tracking 
    Kokul, T.; Fookes, C.; Sridharan, S.; Ramanan, A.; Pinidiyaarachchi, A. (IEEE Transactions on Information Forensics and Security, 16-08-19)
    Deep similarity trackers are able to track above real-time speed. However, their accuracy is considerably lower than deep classification based trackers since they avoid valuable online cues. To feed the target-specific ...
  • Telematics and Road Safety 
    Kirushanth, S.; Kabaso, B. (IEEE, 2018-07-24)
    Road Safety is a major concern around the world. Telematics solutions have been available for more than a decade, and several studies have been done in the use of telematics data in road safety. However, these studies are ...
  • A tourist satisfaction analysis of Eastern province, Sri Lanka 
    Jeyamugan, T.; Cooray, T. M. J. A.; ampath Kappagoda, U.W.M.R. (7th Annual Science Research Sessions-2018, 2018)
    Tourism is a major source of income in Sri Lanka. Tourism is defined as marketing of enjoyable and other features of an attractive location including the services for thehappiness of tourists. The eastern province is one ...
  • Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography 
    Nagulan, R.; Simmons, A.; Bertoni, M.; Ali, H. (ElSEVIER/Megnetic Resonance Imaging, 2013-02)
    In this manuscript, fast and clinically feasible model-based bootstrapping algorithms using a geometrically constrained two-tensor diffusion model are employed for estimating uncertainty in fiber orientation. A Monte-Carlo-based ...
  • Underwater Image Enhancement using Scene-Specific Red Channel Prior and Fusion 
    Anparasy, S.; Kokul, T. (IEEE, 10-12-21)
    Quality of underwater images are reduced with the depth since light is absorbed and scattered by the suspended particles in water. Although several optical model-based and model-free underwater image enhancement methods ...
  • Usability and Accessibility Analysis of Government of Websites of Sri Lanka 
    Kartheeswaran, T.; Gopinath, S.; Lojenaa, N.; Senthooran, V. (IEEE TENSYMP 2016, Bali Indonesia, 2016)
    The websites usability and accessibility standards make more convenient to the internet users. The most of exists websites are failed to follow these standards. Hence, in this research study, we analyze the usability and ...
  • Variable Selection via Biased Estimators in the Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Scientific Research Publishing, 28-02-20)
    Least Absolute Shrinkage and Selection Operator (LASSO) is used for variable selection as well as for handling the multicollinearity problem simultaneously in the linear regression model. LASSO produces estimates having ...
  • Vegetable Growers Perception of Pesticide Use Practices and Health Effects in the Vavuniya District 
    Vijitharan, S.; Loganathan, P. (IDOSI Publications, 15-07-15)
    As in developing countries like Sri Lanka, the application of pesticides is often not very precise and unintended exposures occur to other organisms in the general area where pesticides are applied. The objectives of this ...
  • Wavelength Conversion Scheme for Dedicated Protection in WDM Optical Networks 
    Suthaharan, S; Ravithas, N; Sharfana, F A (IEEE International Conference on Industrial and Information Systems (ICIIS), 2017)
    Optical communication is the emerging technology for data transmission systems because of their large information-carrying capacity. Wavelength division multiplexing (WDM) in optical networks is a method to deal the Internet ...

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