D. U. J. Sonnadara

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A license plate identification system can be used for numerous applications such as unattended parking lots, security control of restricted areas, traffic law enforcement and automatic toll collection. Such a system captures images of vehicles and identifies license plate numbers automatically. Here we present results of a system in identifying the vehicle(More)
The performance of neuro-fuzzy traffic signal control at two independent traffic junctions is discussed. In this work, traffic conditions at two 4-way traffic junctions were simulated and flow of traffic on the road connecting the two junctions under varying traffic conditions was studied. For a given data set, the developed neuro-fuzzy system automatically(More)
An adaptive neuro-fuzzy inference system is developed and tested for traffic signal controlling. From a given input data set, the developed adaptive neuro-fuzzy inference system can draw the membership functions and corresponding rules by its own, thus making the designing process easier and reliable compared to standard fuzzy logic controllers. Among(More)
This paper describes a simple microprocessor developed using a complex programmable logic device (CPLD), with an instruction set optimized for data acquisition applications. The processor encompasses a tiny instruction set having only the instructions required in data acquisition applications. Due to optimization of the features, it was possible to fit both(More)
A study was carried out to investigate the fractal properties of cloud shapes. Water vapor images of clouds over the Indian Ocean region captured by the geostationary meteorological satellite METEOSAT-7 during the period of 2008 August to 2009 July were used in the present study. The fractal dimensions of cloud shapes have been calculated using the(More)
Measuring the length and the width of a sample of coir fibres manually is a time consuming and labour intensive task. With the aim of developing an imaging system based on machine vision, automatic computing of length and width were investigated by processing a set of scanned images of coir fibre samples. Two algorithms were developed using a line searching(More)
* Corresponding author (upul@phys.cmb.ac.lk) Abstract: The performance of artificial neural networks in forecasting short range (3-6 hourly) occurrence of rainfall is presented. Feature sets extracted from both surface level weather parameters and satellite images were used in developing the networks. The study was limited to forecasting the weather over(More)
An artificial neural network model developed to forecast river flow/discharge is presented. The model is based on the feed-forward, back-propagation network architecture optimized through a conjugated training algorithm. The observations of daily mean river discharge and daily mean rainfall data during the period 2002 to 2005 were used to train the model(More)