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)
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)
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)
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)
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)
— 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)