• 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 ...
• Generalized Stochastic Restricted LARS Algorithm 

  Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Ruhuna, Sri Lanka, 2022-06-30)

  The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model. The Least Angle Regression (LARS) ...
• Enhanced Symmetric Cryptography for IoT using Novel Random Secret Key Approach 

  Gopinath, S.; Nagulan, R. (IEEE, 2020-12-10)

  The deployment of IoT devices in different domains enables technical innovations and value-added services to users but also creates multiple requirements in terms of effective communication and security. IoT devices are ...
• 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 ...
• Phase Space Error Control with Variable Time-Stepping Algorithms applied to the Forward Euler method for Dynamical Systems 

  Thilaganathan, S.; Vigneswaran, R. (University of Jaffna, 2016-08-12)

  We consider a phase space stability error control for numerical simulation of dynamical systems. Tony Humphries and Vigneswaran, R., in “Phase space stability error control with variable time-stepping Runge-Kutta methods ...
• Phase space theta error control with general explicit Runge-Kutta methods for dynamical systems 

  Thilaganathan, S.; Vigneswaran, R.; Samarathunga, D.M. (PGIS, 2019-10-11)

  Variable time-stepping algorithms are often used to solve the dynamical systems, defined by autonomous initial value ordinary differential equations =f, y(0)=y0 m, where f : is a Lipschitz continuous function. Standard ...
• Phase space error control with variable time-stepping algorithms applied to the forward Euler method for autonomous dynamical systems 

  Vigneswaran, R.; Thilaganathan, S. (Advances in mathematical sciences, knowvel, 2019-03-31)

  We consider a phase space stability error control for numerical simulation of dynamical systems. Standard adaptive algorithm used to solve the linear systems perform well during the finite time of integration with fixed ...
• A Combined Error Control with Forward Euler Method for Dynamical Systems 

  Vigneswaran, R.; Thilaganathan, S. (World Academy of Science, Engineering and Technology, 2016-05-12)

  Variable time-stepping algorithms for solving dynamical systems performed poorly for long time computations which pass close to a fixed point. To overcome this difficulty, several authors considered phase space error ...
• Weigh-in-motion Using Machine Learning and Telematics 

  Kirushnath, S.; Kabaso, B. (IEEE, 2018-07-24)

  Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without ...
• Extracting knowledge from Noise Information 

  Chowuraya, T.; Kirushanth, S.; Kabaso, B. (Academic Conference International (ACI), 2018-11-12)

  Information is an important part of creating knowledge. We live at a time when so much information is created. Unfortunately, much of the information is redundant. There is huge amount of online information in the form of ...
• Infoshare: A Digital Governance Community platform for Knowledge Sharing 

  Xolani, V.; Kirushanth, S.; Boniface, K. (Academic Conference International (ACI), 2018-11-12)

  With the easy availability of mobile devices and affordable bandwidth, there has been a proliferation of sharing of perceived expert information, with unreliable source, which have often not been tested in a specialized ...
• 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 ...
• 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 ...
• 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 ...
• Electricity Usage Monitoring and Alerting System 

  Amrithaa, P.; Shorubiga, P.; Thanoojan, T.; Kartheeswaran, T. (IEEE, 03-12-20)

  Electricity is one of the inevitable sources of energy in our day to day life. Almost every single device we use from the moment we wake up until going to bed is electrically powered. Meanwhile, there is always a problem ...
• 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 ...
• Mean square error comparison between ridge and lasso estimators in the Misspecified linear regression model 

  Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 09-11-18)

  It is well-known that the Ridge Estimator has been used as an alternative estimator for Ordinary Least Squared Estimator (OLSE) to handle multicollinearity problem in the linear regression model. However, it introduces ...
• 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. ...
• 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 ...

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