Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

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  • 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 ...
  • A Feasibility Study of Compost Preparation by Using Household Waste (Kitchen Waste and Garden Waste) (A Case Study in KopayDS Division, Jaffna District) 
    Vijitharan, S (International Institute of Knowledge Management, 17-08-18)
    Home composting is a simple, cost effective and environmentally friendly method to manage the household biodegradable waste. The objectives of the study were to investigate the domestic waste management at household level, ...
  • Forecasting models for Dengue outbreak in Northern province of Sri Lanka 
    Jeyamugan, T. (Wayamba University of Sri Lanka, 20-08-16)
    The Dengue Hemorrhagic fever is one of frequently chronicled epidemiological scenario in thepast and ongoing time frame worldwide. Recently, trend of its outbreak seems numerousincidents partially deviated compare to ...
  • Gate connected convolutional neural network for object tracking 
    Kokul, T.; Fookes, C.; Sridharan, C.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP), 17-09-17)
    Convolutional neural networks (CNNs) have been employedin visual tracking due to their rich levels of feature representation.While the learning capability of a CNN increaseswith its depth, unfortunately spatial information ...
  • 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) ...
  • Group Graph Measures of Brain Networks New Concepts and Definitions 
    Subaramya, V; Perera, A.A.I; Ratnarajah, N (Postgraduate Institute of Science, University of Peradeniya, 10-11-18)
    Brain networks consist of cortical and subcortical regions as nodes and connections between them as edges. These brain networks convey a huge amount of information that has been almost unexplored previously and the ...
  • 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 ...
  • The knowledge gathering and study pattern of undergraduate students of the Vavuniya campus of the university of Jaffna 
    Kayanan, M.; Kuhanesan, S. (South Eastern University of Sri Lanka, 20-12-16)
    The study examined the knowledge gathering and study pattern as contemplate example of undergraduates of Vavuniya Campus of the University of Jaffna. Precisely, the analysis made to determine the impact of gender and level ...
  • A Low-Cost Contactless Palm Print Device to Recognize Person based on Texture Measurement 
    Sharad, B.J.; Raut, S.D.; Humbe, V.T.; Kartheeswaran, T. (IJETSR, International Journal of Engineering Technology Science and Research, 10-02-16)
    Today’s Information Technology grows rapidly withnew technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An audio ...
  • 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 ...
  • Modified Stochastic Restricted Ridge Estimator in Misspecified Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Institute of Applied Statistics, Sri Lanka, 28-12-18)
    Misspecification of the linear model due to omitting relevant explanatory variable from the model and multicollinearity among the explanatory variables are considered as two of the problems which are considered seriously ...
  • Monitoring Fermentation of Black Tea with Image Processing Techniques 
    Saranka, S.; Kartheeswaran, T.; Wanniarachchi, D.D.C.; Wanniarachchi, W.K.I.L. (Institute o f Physics - Sri Lanka, 32nd Technical Sessions, March 2016, Colombo, Sri Lanka, 22-05-16)
    The possibility to use digital images of tea particles as a tool to monitor fermentation ofblack tea processing is studied in this project. Copper green color is the predicted colorused to measure the degree of fermentation; ...
  • Multi Agent Based Audio Steganography 
    Kartheeswaran, T.; Senthooran, V.; Pemadasa, T. D. D. L. (IEEE, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 21-03-16)
    Today’s Information Technology grows rapidly with new technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An ...
  • Multi-Label Segmentation White Matter Structures: Application to Neonatal Brains. 
    Nagulan, R.; Qiu, A. (ElSEVIER/NeuroImage, 15-11-14)
    Accurate and consistent segmentation of brain white matter bundles at neonatal stage plays an important role in understanding brain development and detecting white matter abnormalities for the prediction of psychiatric ...
  • Multiclass classification approach to identify the stage of autism spectrum disorder 
    Kayanan, M.; Wijekoon, P. (Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka, 09-01-20)
    Autism Spectrum Disorder (ASD) is known as a neurodevelopmental disorder that affects communication, social interaction and behavioural skills. ASD affects the children at the age of two years old and continues lifelong. ...
  • Neuroimaging assessment of spasticity developed after acquired brain injuries and multiple sclerosis 
    Bertoni, M.A.; Sakel, M.; Hojjattoleslami, A.; Bertoni, I.V.; Nagulan, R. (Centauro/ Neuroradiology Journal, 2012-07)
    This study evaluated whether different imaging techniques correlate with specific variables routinely used to grade the types and complexities of patient conditions in neurorehabilitation services and their clinical outcomes, ...
  • A novel approach for improved tractography and quantitative analysis of probabilistic fibre tracking curves 
    Nagulan, R.; Andrew, S.; Oleg, D.; Ali, H. (ElSEVIER/Medical image Analysis, 2012-01)
    This paper presents a novel approach for improved diffusion tensor fibretractography, aiming to tackle a number of the limitations of current fibre tracking algorithms, and describes a quantitative analysis tool for ...
  • A Novel Routing Scheme Based on Protection Mechanism to Discover Unconventional Disjoint Path in Adhoc Wireless Networks 
    Suthaharan, S (International Journal of Computational Intelligence and Informatics (IJCII), 2013)
    The performances of the routing protocols are important since they compute the primary path between source and destination. In addition, routing protocols need to detect failure within a short period of time when nodes ...
  • A Novel White Matter Fibre Tracking Algorithm using Probabilistic Tractography and Average Curves 
    Nagulan, R.; Andrew, S.; Oleg, D.; Ali, H. (Springer Berlin/Heidelberg MICCAI, 2010)
    This paper presents a novel white matter fibretractography approach using average curves of probabilistic fibre tracking measures. We compute”representative” curves from the original probabilistic curve-set using two ...
  • Online Multi-Person Tracking-by-detection Method Using ACF and Particle Filter 
    Kokul, T.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 12-12-15)
    Automatically detecting and tracking multiple persons in videos is one of the main research interests in computer vision based applications. This paper presents a tracking-by-detection approach for tracking people in dynamic ...

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