Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

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  • Abnormalities of cortical thickness, subcortical shapes, and white matter integrity in subcortical vascular cognitive impairment. 
    Thong, Jamie Yu Jin; Du, Jia; Nagulan, R.; Dong, Yanhong; Soon, Hock Wei; Saini, Monica; Tan, Ming Zhen; Ta, Anh Tuan; Chen, Christopher; Qiu, A (Wiley Online Library/Human Brain Mapping, 2014-05)
    Subcortical vascular cognitive impairment (sVCI) is caused by lacunar infarcts or extensive and/or diffuse lesions in the white matter that may disrupt the white matter circuitry connecting cortical and subcortical regions ...
  • Adaptation of brain functional and structural networks in aging 
    Lee, A.; Nagulan, R.; Tuan, T.A.; Chen, S.H.; Qiu, A. (Public Library of Science/PLOS ONE, 15-04-15)
    The human brain, especially the prefrontal cortex (PFC), is functionally and anatomically reorganized in order to adapt to neuronal challenges in aging. This study employed structural MRI, resting-state fMRI (rs-fMRI), and ...
  • Aircraft-Lightning Electrodynamics using the Transmission Line Model. Part I: Review of the Transmission Line Model 
    Hoole, P. R. P.; Thirukumaran, S.; Hoole, S. R. H.; Pirapaharan, K.; Jeevan, K.; Harikrishnan, R. (The ElectroMagnetics Academy (TEMA), 2013)
    This work presents a self-consistent and self-contained model to study and analyze aircraft-lightning electrodynamics. In this paper we review the well developed and reported transmission line model of the cloud-to-ground ...
  • 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 ...
  • Analysis of Emotional Speech Recognition Using Artificial Neural Network 
    Archana, A.F.C.; Thirukumaran, S. (Faculty of Computing and Technology, University of Kelaniya, 2016)
    This paper presents an artificial neural network based approach for analyzing the classification of emotional human speech. Speech rate and energy are the most basic features of speech signal but they still have significant ...
  • Artificial Neural Network Based Approach for Speech Emotion Recognition of Sinhala Language 
    Nawoda, D.; Thirukumaran, S. (Postgraduate Institute of Science (PGIS), University of Peradeniya, 2019)
    The Sinhala language suffers from the lack of appropriate emotional speech database for research into speech emotion recognition. In this paper, we represent our efforts to develop an emotional speech database, as it would ...
  • Artificial Neural Network based Emotions Recognition System for Tamil Speech 
    Dayani, P.; Thirukumaran, S. (Faculty of Computing and Technology, University of Kelaniya, 2017)
    Emotion has become the important part in communication between human and machine, so the detection of emotions has become important part in pattern recognition through Artificial Neural Network (ANN). Human's emotions can ...
  • Augmented Reality and its possibilities in Agriculture (In Sri Lankan Context) 
    Musfira, F.A.; Linosh, N.E. (University of Kelaniya, 2016)
    Since Sri Lanka is an agro country, its economy is mostly based on agriculture and agro based industries, animal husbandry and other agriculture based businesses. In Sri Lanka, Agriculture continues to be the major occupation ...
  • 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 ...
  • Behaviour of Rainfall Patterns in the Trincomalee District: A Time Series Modelling Approach 
    Yogarajah, B.; Elankumaran, C.; Vigneswaran, R. (University of Jaffna, 2012)
    With the advent of rapid developmental activities in the Eastern province of Sri Lanka in the post-war scenario, the government’s mandates focus on reviving plans for the agricultural sector to meet the growing demands of ...
  • Brain Network Measures for Groups of Nodes: Application to Normal Aging and Alzheimer's Disease 
    Srivishagan, S.; Perera, A.A.I.; Hojjat, A.; Ratnarajah, N. (Mary Ann Liebert- Sage, 2020)
    Background: The nodal brain network measures (e.g., centrality measures) are defined for a single node and the global network measures (e.g., global efficiency) are defined for the whole brain in the literature. But a ...
  • Challenges in Implementing ERP Systems in Small Medium Manufacturing Companies in Sri Lanka 
    Yasotha, R.; Ramramanan, L. (Faculty of Computing and Technology, University of Kelaniya, 2017)
    There are numerous information systems available in the market to be selected for implementation in manufacturing organizations. When many information systems manually intergraded for management reporting for a company, ...
  • Classification of Vegetable Plant Pests using Deep Transfer Learning 
    Vijayakanthan, G.; Kokul, T.; Pakeerathan, S.; Pinidiyaarachchi, U.A.J. (IEEE, 2021-08)
    Sri Lankan farmers face several issues and among them crop loss due to insect pest infestation is the major hurdle. Several approaches have been proposed to detect the pest class by using computer vision and machine learning ...
  • 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 ...
  • 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 ...
  • Comparison between r-d and r-k class estimators in Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 08-09-17)
    A significance attention has been paid by researchers about misspecification due to excluding some relevant explanatory variables and multicollinearity among the explanatory variables in linear regression model. Several ...
  • Comparison of single-line rate for dedicated protection on WDM optical network topologies 
    Suthaharan, S; Samarakkody, D; Perera, W. A. S. C (IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016)
    Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several non-overlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
  • 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 ...
  • Conparison of the Predictive Performance of LIU-Based Estimators 
    Kayathiri, T.; Kayanan, M.; Wijekoon, P. (PGIS, University of Peradeniya, 2023-11-03)
    "Logistic regression is one of the most widely used statistical methods for predicting a binary outcome by analysing the relationship between one or more existing independent variables. Although the maximum likelihood ...
  • Consumer Awareness For Identification Of Pesticide Contamination In Leafy Vegetables 
    Loganathan, P.; Vijitharan, S. (Postgraduate of Institute of Science, University of Peradeniya, 06-08-16)
    Consumer awareness is the best way to reduce pesticide related health effects. Many vegetables in the market are contaminated with agrochemicals. Therefore, the present study was designed to investigate the importance of ...

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