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Browsing Department of Information and Communication Technology by Publication Date

Browsing Department of Information and Communication Technology by Publication Date

Now showing items 1-20 of 29

Predicting an Optimal Sri Lankan Cricket Team for ODI Matches According to the Nature of the Game

Perera, W.A.S.C.; Caldera, H.A. (Psychosocial, 01-02-20)

This paper focuses on predicting an optimal Sri Lankan cricket team for One Day International (ODI) matches according to the nature of the game. In general, the team selection process in ODI is based on performance measures ...
E-Sign Detector: Image Steganography-Based Employee Identification System

Senthooran, V.; Chathuranga, M. T.; Kartheeswaran, T. (IUP Publications, 01-06-16)

This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a ...
An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images

Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)

Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
Automated Identification of Polytene Chromosomes Banding Pattern using Image Processing Techniques

Niroshi, J.; Ananthakrishnan, K.; Ratnarajah, N. (Vavuniya Campus of the University of Jaffna, 01-10-19)

An automated method has been developed to identify the dark bands and light-inter bands in the Polytene chromosomes microscopic images using the digital image processing algorithms. Polytene chromosomes are specific ...
Comparison of Single-Line Rate for Dedicated Protection on WDM Optical Network Topologies

Suthaharan, S.; Danusha, S.; Perera, W. A. S. C. (IEEE, 01-12-16)

Wavelength division multiplexing (WDM) divides the huge bandwidth available on a fiber into several nonoverlapping wavelength channels and enables data transmission over these channels simultaneously. Failure of the optical ...
Artificial Neural Network Analysis in Finance: Evidence using a Literature Review

Kethmi, G.A.P.; Perera, W.A.S.C. (MAT Journals, 01-12-21)

Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is inspired by the operation of neurons in the human brain and machine language made possible to use neural networking in data ...
Automatic Labelling & Classification for Research Papers of Wildlife in Sri Lanka

Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (FACULTY OF INFORMATION TECHNOLOGY, UNIVERSITY OF MORATUWA, SRI LANKA, 03-12-20)

Sri Lanka, is one of the global biodiversity hotspots, which contains a larger variety of fauna and flora. But nowadays Sri Lankan wildlife faced many issues because of poor management and policies to protect wildlife. The ...
Keypoints and Codewords Selection for Efficient Bag-of-Features Representation

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (Springer, 05-04-18)

Bag-of-features (BoF) representation is one of the most popular image representations, that is used in visual object classification, owing to its simplicity and good performance. However, the BoF representation always faces ...
Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic

Sivakumara, Pirunthavi; Wijikumar, Kularasasingam (Sri Jayawardenapura University of Sri Lanka, 07-05-22)

This study aimsto identify the impact of digital learningin Sri Lankanstate universities and thecontribution of ICT tothe implementation of digital learningduring theCovid-19pandemic. This study also aimsto investigate ...
Usability and Accessibility Analysis of Online Banking Systems in Sri Lanka

Yanusha, M.; Kartheeswaran, T.; Lojenaa, N. (IEEE, 13-12-18)

With the wide expansion of internet usage in Sri Lanka, e-banking is bucking the trend amongst the banking sectors and the customers. Since the online banking systems are the critical source of information for all kind of ...
Predicting ratings of YouTube videos based on the user comments

Sivakumar, Pirunthavi; Ekanayake, Jayalath (Faculty of Applied Science, University of Vavuniya, Sri Lanka, 15-09-21)

This project attempted to develop a model to predict the rating of a YouTube video based on the user comments. We extracted the user comments from many YouTube videos to make the sentimental analysis. The keywords were ...
An Ontology based Data Mining approach for predicting the research ideas using past research in the wildlife sector of Sri Lanka

Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (General Sir John Kotelawala Defence University, 16-10-20)

Sri Lanka being a global biodiversity hotspot, places great value for biodiversity owing to ecological, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due to several ...
An Efficient Bag-of-Feature Representation for Object Classification

Vinoharan, Veerapathirapillai; Ramanan, A. (ELCVIA, 16-12-21)

The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
Visual Speech recognition for Sinhala language using CNN

Jayarathne, W.M.U.; Perera, W.A.S.C.; Ketheesan, T. (Faculty of Science, University of Ruhuna, 17-02-21)

Visual Speech Recognition (VSR) is an essential tool that is facilitating to understand the speech from the video by the visually impaired people. Moreover, VSR play an important role in analyzing the CCTV footage for a ...
One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (IEEE, 21-12-18)

In a patch-based object classification system, one of the most popular image representation approach is the bag-of-features (BoF) representation. However, the number of patch-based features extracted from images to create ...
Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (SCITEPRESS, 24-02-16)

Advances in machine learning and image feature representations have led to great progress in pattern recognition approaches in recognising up to 1000 visual object categories. However, the human brain solves this problem ...
Automatic Segmentation of Lung Nodule From CT Images Using Fuzzy C-Means Clustering Algorithm and Active Contour Model

Rajeetha, T.; Venuja, S. (Sabaragamuwa University of Srilanka, 24-02-21)

Lung nodule segmentation is an important part in computer-aided diagnosis (CAD) system for lung cancer detection and diagnosis. The key issue in CAD of lung nodule is to correct and accelerate rapid segmentation of diseased ...
Resource Efficiency for Dedicated Protection in WDM Optical Networks

Suthaharan, S.; Samarakkody, D.; Perera, W.A.S.C. (Faculty of Computing and Technology, University of Kelaniya, 25-11-16)

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. ...
Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels Using Machine Learning

Krishnananthan, S.; Puvanendran, S.; Rukshani, P. (Springer, 26-10-21)

This study focuses on the prediction of the Diabetic Patients through the sugar levels. The Dataset is analyzed using the data mining techniques such as feature extraction, associate rule mining and classification. The ...
A Wheel-based Side-view Car Detection using Snake Algorithm

Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam; Kodituwakku, Saluka R. (IEEE, 27-09-12)

Car detection is a challenging research area where the appearance has various changes due to different models, poses, scales, lighting conditions, background, occlusion and various image sizes. Amidst these external ...

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