WIRLESS TRANSMISSION OF POWER

WIRELESS POWER GENERATION USING S.P.S AND RECTENNA Can''''t we use solar power at the night? This question may look somewhat absurd since there is obviously no meaning of " Using solar power at night"! Now-a- days we are using the solar power to generate electricity by the solar panels mounted on the earth. But in the outer space, the sun always shines brightly. No cloud block the solar relays, and there is no night time. Solar collectors mounted on an orbiting satellite would thus generate power 24 hours per day, 365 days per year. If this power could be relayed to earth, then the world''''s energy problems might be solved forever. We propose a new method for power generation in which the solar power is converted into microwaves through satellites called power satellites (SPS) and it is received using a special type of antennae called rectenna, mounted on earth surface. The concept of free space power propagation is not a new concept and it is the topic of discussion for nearly four decades. This paper explains the same for the generation and reception of electrical power using the rectennas. Rectennas are special type of antennae that could convert the incoming microwave radiation into electricity and this electricity can be sent to grids for storage and future usage. Writers..........

NEURO NETWORKS

NEURO NETWORKS The topic "The Neural Networks" is to introduce all the basics of an emerging technology: neural networks - their function, generic structure, terminology, types and uses. The components or parts of the neural networks-- processing units, weighted interconnections, activation-rule based on which the neural networks work and finally the last component, which is quite often an optional one, the learning rule. The characteristics of the neural networks - adaptive learning, self organiztion, fault tolerance, parallel computing have been highlighted. The comparison of neural networks with conventional computers, indicating the advantages of neural networks over conventional computers,is made. The similarities between artificial neuron and biological neuron, based on the concept took its shape, is then presented. Four architectures of neural networks exist and each of them can be studied. The learning process, which is the determination of weights by the neural networks. The behavior of a neural NETWORK depends on the weights as well as the input-output function. The report finally throws the light on the application of the neural networks in various fields. The real time example of the neural networks is then demonstrated. Like any other technology, a neural network too has its own set of advantages and disadvantages which is at-last elucidated.