Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

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  • Real-time Lecture Delivery Approach to e-Learning Using WebRTC 
    Gopinath, S.; Senthooran, V.; Lojenaa, N.; Kartheeswaran, T. (WinC2016,Wayamba University of Sri Lanka., 2016)
    Web Real Time Communication (WebRTC) is a new technology in communication. It is simply plug-in free video and audio transmission between web browsers. In existing e-learning technologies such as Moodle and Blackboard ...
  • Recognizing matured cinnamon tree using image processing techniques 
    Chandima, D. K. D.; Kartheeswaran, T. (IEEE, 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 08-05-18)
    Cinnamon cultivation is the main income source of a set of areas in Sri Lanka. Peeling cinnamon is a complex task of the cinnamon harvesting process after identifying the matured cinnamon trees. Expertise knowledge is ...
  • Resource Assignment Schemes for Pre-configured Backup Protection in Elastic Optical Networks 
    Suthaharan, S (11th International Conference on Industrial and Information Systems (ICIIS), 2016)
    In this paper, the problem of providing survivability in elastic optical networks (EONs) is addressed. EONs use 12.5 GHz fine granular frequency slots or flexible grids instead of using the traditional 50 GHz fixed grid ...
  • Resource Efficiency for Dedicated Protection in WDM Optical Networks 
    Suthaharan, S; Samarakkody, D; Perera, W.A.S.C (Kelaniya International Conference on Advances in Computing and Technology, 2016)
    The ever increasing demand for bandwidth is posing new challenges for transport network providers. A viable solution to meet this challenge is to use optical networks based on wavelength division multiplexing (WDM) technology. ...
  • Restricted least angle regression algorithm for lasso 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 11-10-19)
    Least Absolute Shrinkage and Selection Operator (LASSO) method has been used for variable selection in the linear regression model when multicollinearity exists among the predictor variables. A popular algorithm to find ...
  • Rubik’s Revenge Application Tool 
    Subaramya, V (South Eastern University of Sri Lanka, 21-12-16)
    The Rubik's revenge is really captivating and fascinating puzzle. It is a three dimensional game. In the literary survey, there are several applications available in Rubik’s revenge. Some of them are in two dimensional ...
  • 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 ...

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