Browsing Department of Physical Science by Publication Date

Browsing Department of Physical Science by Publication Date

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  • Awareness of Banned Pesticide usage among Vegetable Grower’s and Health impacts in the Vavuniya District 
    Vijitharan, S.; Loganathan, P. (Faculty of Agriculture, University of Jaffna, Sri Lanka., 15-10-15)
    Pesticides kill or deter the destructive activity of the target organism and they posses’ inherent toxicities that endanger the health of the farmers, consumers and the environment. The objectives of this study were to ...
  • 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 ...
  • 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 ...
  • Performance of LASSO and Elastic net estimators in Misspecified Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Peradeniya, Sri Lanka, 16-09-19)
    Ridge Estimator (RE) 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 heavy bias when the ...
  • 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, ...
  • 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 ...
  • A Comprehensive Study on Deep Image Classification with Small Datasets 
    Gayani, C.; Kokul, T.; Amalka, P. (Springer, 17-12-19)
    Convolutional Neural Networks (CNNs) showed state-of-the-art accuracyin image classification on large-scale image datasets. However, CNNs showconsiderable poor performance in classifying tiny data since their large number ...
  • 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 ...
  • Environmentally friendly Methods to Control Eichhornia crassipes 
    Vijitharan, S.; Sivarajag, S.; Loganathan, P. (Ministry of Mahaweli Development & Environment, 20-01-17)
    The water hyacinth (Eichhornia crassipes) is a free-floats aquatic plant that has invaded the waterways and reservoirs in the Dry Zone of Sri Lanka. The study focused on preparing a compost using water hyacinth using the ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Combining Lasso and Liu type estimator in the linear regression model 
    Kayanan, M.; Wijekoon, P. (International Statistical Institute, 21-08-19)
    The Ordinary Least Square Estimator (OLSE) has been widely used to estimate unknown parameters in the linear regression model. Since OLSE produces high variance on the estimates when multicollinearity exists among the ...
  • 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 ...
  • 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; ...
  • A Digital Green Banking Framework A Background Analysis for Fingerprint Approaches 
    Lojenaa, N.; Nawarathna, Ruwan D.; Suthaharan, S. (IRCICT 2018, Edhat International Ltd, 23-11-18)
    The fundamental activity of a bank is money related transactions. To perform such transactions, the banking service providers expect a valid and accurate signature from the customer to ensure correct identification 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 ...
  • Algorithm aspects of Rubik’s Cube 3D game 
    Subaramya, V.; Krishnakumar, K. (The Open University of Sri Lanka, 28-11-13)
    The Rubik's Cube is really captivating and fascinating puzzle. It is a 3D game. In the literary survey, there are several applications available in Rubik’s cube. Some of them are games, some of them have solution. But there ...
  • 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 ...
  • 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 ...

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