D. U. J. Sonnadara

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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)
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 Colombo (79°52' E, 6°54' N), the capital of Sri Lanka.(More)
This paper presents an image processing approach for the detection of the vehicle license plate area in digitized photographic images. The algorithm takes a raster image of the rear view of a vehicle as input and yields the segment of the photograph that contains the plate as the output. The developed algorithm is based on three basic processing stages;(More)
— Honey bees use optical flow to avoid obstacles effectively. In this research work similar methodology was tested on a simulated mobile robot. Simulation framework was based on VRML and Simulink in a 3D world. Optical flow vectors were calculated from a video scene captured by a virtual camera which was used as inputs to a fuzzy logic controller. Fuzzy(More)
This paper presents the use of self similarity with random variations and probabilistic growth of branches as the basis of generating natural forms of trees. Bifurcation branching geometry has been considered as the fundamental element in the formation of tree structures and Honda's model was used to generate the recursive branching patterns. In order to(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)
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)
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)
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