Browsing Statistics & Computer Science by Title

Now showing items 1-20 of 52

A methodology for identifying ?Web metrics? for ?Web analytics?

Wickramarachchi A P R; Malavisooriya L M (2006)

The need for perusing sound business practices when adopting an organizational web strategy is highlighted by many authors. Measuring effectiveness of business activities is a standard practice of any organization. However, ...
An Enhanced Multi-Channel MAC for the IEEE 1609.4 Based Vehicular Ad Hoc Networks

Wang, Q.; Leng, S.; Fu, H.; Zang, Y.; Weerasinghe, K.G.H.D. (INFOCOM IEEE Conference on Computer Communications Workshops, 2010)

This paper proposes a multi-channel MAC scheme for Vehicular Ad Hoc Networks (VANETs), which dynamically adjusts the intervals of Control Channel (CCH) and Service Channels (SCHs). Markov modeling is conducted to optimize ...
Analysis of key management in wireless sensor networks

Dustin, M.; Shankarappa, J.; Petrowski, M.; Weerasinghe, K.G.H.D.; Fu, H. (IEEE EIT?07, 2007)

A multitude of wireless sensor networks exist today in various fields, each having a specific objective in mind. Based on the objectives for each network, the security concerns can be different, dependent on such factors ...
An android based live tour guide for Sri Lanka

de Silva, A.D.; Liyanage, S.R. (Sri Lanka Association for the Advancement of Science, 2016)
Anonymous service access for Vehicular Ad hoc Networks

Weerasinghe, K.G.H.D.; Fu, H.; Leng, S. (Information Assurance and Security (IAS), 2010 Sixth International Conference, 2011)

Communications through road side units in Vehicular Ad hoc Networks (VANETs) can be used to track the location of vehicles, which makes serious threat on users' privacy. In this paper, we propose and evaluate a novel ...
An Application of 5-fold Cross Validation on a Binary Logistic Regression Model

Attanayake, A.M.C.H; Jayasundara, D.D.M.; Peiris, T.S.G. (2016)

Abstract Internal validation techniques can be used to check the predictive ability of the developed models. The most common internal validation techniques are split sample methods, cross validation methods and bootstrapping ...
Application of fuzzy goal programming model to assess optimal multi crop cultivation planning

Hakmanage, N.M.; Chandrasekara, N.V.; Jayasundara, M. (Agriculture and Natural Resources, 2022)

Importance of the work: Planning for the optimal use of resources in agricultural systems considering uncertainty, with the objective of maximizing profit and production, will improve the social and economic ...
An Approach for Prediction of Weekly Prices of Green Chili in Sri Lanka: Application of Artificial Neural Network Techniques

Basnayake, B. R. P. M.; Kaushalya, K. D.; Wickaramarathne, R. H. M.; Kushan, M. A. K.; Chandrasekara, N. V. C. (The Journal of Agricultural Sciences - Sri Lanka, 2022)

Purpose: Predicting the prices of crops is a principal task for producers, suppliers, governments and international businesses. The purpose of the study is to forecast the prices of green chili, which is a cash crop in ...
An Approach for Prediction of Weekly Prices of Green Chili in Sri Lanka: Application of Artificial Neural Network Techniques

Basnayake, B.R.P.M.; Kaushalya, K.D.; Wickaramarathne, R.H.M.; Kushan, M.A.K.; Chandrasekara, N.V. (Journal of Agricultural Sciences – Sri Lanka, 2022)

Purpose: Predicting the prices of crops is a principal task for producers, suppliers, governments and international businesses. The purpose of the study is to forecast the prices of green chili, which is a cash crop in ...
Automated response recognition system for questionnaires

Fernando, M.A.I.D.; Chandrasekara, N.V. (Sri Lanka Association for the Advancement of Science, 2012)
COMPARISON OF PERFORMANCES OFSELECTED FORECASTING MODELS:AN APPLICATION TO DENGUE DATA IN COLOMBO, SRI LANKA

Attanayake, A.M.C.H.; Perera, S.S.N.; Liyanage, U.P. (Department of Statistics & Computer Science, Faculty of Science,& Research & Development Centre for Mathematical Modelling, Faculty of Science, University of Colombo, Sri Lanka., 2021)

Dengue is a one of the diseases in the world which has no exact treatment to recover from the disease. It is rapidly spreading throughout the world by causing large number of deaths [1]. In Sri Lanka, there is an increase ...
Comparison of support vector regression and artificial neural network models to forecast daily Colombo Stock Exchange

Rangana, D.L.M.; Chandrasekara, N.V.; Tilakaratne, C.D. (Proceedings of the International Statistics Conference, Institute of Applied Statistics, Sri Lanka, 2011)
Data centric adaptive in-network aggregation for wireless sensor networks

Weerasinghe, K.G.H.D.; Elhajj, I.; Krsteva, A.; Najm, M.A. (IEEE/ASME International Conference, 2007)

This paper presents and evaluates a data centric adaptive in-network aggregation algorithm for wireless sensor networks. In-Network data aggregation is used in wireless sensor networks to reduce the power consumption of ...
Debris Run-Out Modeling Without Site-Specific Data

De Silva, N.M.T.; Wimalaratne, P. (International Journal of Advanced Computer Science and Applications, 2020)

Recent population growth and actions near hilly areas increase the vulnerability of occurring landslides. The effects of climate change further increase the likelihood of landslide danger. Therefore, accurate analysis ...
Determining and Comparing Multivariate Distributions: An Application to AORD and GSPC with their related financial markets

Chandrasekara, N.V.; Mammadov, M.; Tilakaratne, C.D. (2016)

Many real world applications are associated with more than one variable and hence, identifying multivariate distributions associated with real world problems portrays great importance today. Many studies can be found in ...
Enhancement of IEEE 802.11 modules in ns-2 and performance evaluation with error rate

Jin, K.; Weerasinghe, K.G.H.D.; Fu, H. (Proceedings of 43rd Annual Simulation Symposium (ANSS), 2010)

Ns-2 is being widely utilized to evaluate the wired and wireless networks on many research activities. The ns-2.33 distribution version includes an extension of IEEE 802.11 module which improves the core functions of 802.11 ...
Enhancing unlinkability in Vehicular Ad Hoc Networks

Weerasinghe, K.G.H.D.; Huirong, F. (Intelligence and Security Informatics (ISI), 2011 IEEE International Conference, 2011)

Communication messages in Vehicular Ad-hoc Networks (VANETs) can be used to track movement of vehicles. In this paper, we address the problem of movement tracking and enhance location privacy without affecting security and ...
An Ensemble Technique For Multi Class Imbalanced Problem Using Probabilistic Neural Networks

Chandrasekara, N.V.; Tilakaratne, C.D.; Mammadov, M.A. (Advances and Applications in Statistics, 2018)

The class imbalanced problem is one of the major difficulties encountered by many researchers when using classification tools. Multi class problems are especially severe in this regard. The main objective of this study ...
ESAP: Efficient and scalable authentication protocol with conditional privacy for secure vehicular communications

Weerasinghe, K.G.H.D.; Fu, H. (GLOBECOM Workshops (GC Wkshps), 2010 IEEE, 2010)

Security mechanisms such as authentication, message integrity, and non-repudiation are extremely important features for both vehicle-to-vehicle and vehicle-to-infrastructure communications in vehicular ad hoc networks. ...
Estimating parameters of multivariate scaled t distribution of GSPC and its associated financial indices

Chandrasekara, N.V.; Mammadov, M.A.; Thilakaratne, C.D. (2015)

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