Large cities with fleet of vehicles require a system to determine location of movement of passenger vehicles at a given time. Vehicle tracking systems can be used in theft prevention, retrieval of lost vehicles, providing trafricoriented services on lanes. The Vehicle tracking systems VETRAC enables vehicle drivers or any third party to track the location of any moving vehicle. Most modern vehicle tracking systems use GPS[71 modules which is costly in usage and implementation. Many systems also combine a communications component such as cellular or satellite transmitters to communicate the vehicle's location to a remote user. VETRAC uses WiFi IEEE 802.11 b/g for easy and accurate location of the vehicle, which provides effective and simple communication. Vehicle information can be viewed on electronic maps using the Internet or specialized software. We have designed and developed an Intelligent Vehicle Navigation System, which identify an optimally minimal path for navigation with minimal traffic intensity using WiFi. The system can also be used as a city guide to locate and identify landmarks in a new city.

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<p>In this paper, a single neuron neural network beamformer is proposed. A perceptron model is designed to optimize the complex weights of a dipole array antenna to steer the beam to desired directions. The objective is to reduce the complexity by using a single neuron neural network and utilize it for adaptive beamforming in array antennas. The selection of nonlinear activation function plays the pivotal role in optimization depends on whether the weights are real or complex. We have appropriately proposed two types of activation functions for respective real and complex weight values.   The optimized radiation patterns obtained from the single neuron neural network are compared with the respective optimized radiation patterns from the traditional Least Mean Square (LMS) method. Matlab is used to optimize the weights in neural network and LMS method as well as display the radiation patterns.</p>

An Autonomous Mobile Robot (AMR) is a machine able to extract information from its environment and use knowledge about its world to move safely in a meaningful and purposeful manner. Robot Navigation and Obstacle Avoidance are from the most important problems in mobile robots, especially in unknown environments. It must be able to interact with other objects safely. Several techniques such as Fuzzy logic, Reinforcement learning, Neural Networks and Genetic Algorithms, have applied to AMR in order to improve their performance. During the past several years Hybrid Genetic-fuzzy method has emerged as one of the most active and fruitful areas for research in the application of intelligent system design. The objective of this work is to provide a Hybrid method by which an improved set of rules governing the actions and behavior of a simple navigating and obstacle avoiding AMR. Genes are in the form of distances and angles labels. The chromosomes are represented as a rule written in a Boolean algebraic form. The method used to enhance the performance employs a simulation model designed by using Visual Basic software.

Abstract-Multipath reflections are prevalent in underground mine wireless communication systems and are less constructive when an omnidirectional antenna is used. This phenomenon can be significantly controlled by eliminating the source of all multipaths with a single beam. The single beam must be rotatable towards the desired user to be of any use. The single directed beam will avoid generating multipath reflections and efficiently consume the valuable stored energy. In this paper we present an analysis of an array antenna using dipoles that forms a single beam without the need for reflectors or any complex arrangement of the array elements. It can be shown that dipole elements placed in a straight line are not effective in minimizing energy consumption and a minimum of three elements are sufficient for forming a single directed beam that is electronically rotatable to all directions. We have compared three, four and six elements for the accuracy. It is also shown that the elements of the array antenna should b placed on the circumference of a circle to avoid re-computation of weights to rotate the beam on to any desired direction, thus significantly reducing the computational burden of the single beam, steerable smart antenna.