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In the earth there is distressing number of people who suffer from neurological disorders. Electroencephalogram EEG signal are chaotic time series signals and tends to change rapidly with the patient condition. From normal to severe conditions the nature of signals has drastic difference and with change in amplitude as well as frequencies. Prediction of these signals in the early stage is mere a complex...
There are various forms of green energy available in the environment that can be extract, like thermal, mechanical, solar, acoustic, wind, etc and several techniques have been applied to harvest green energy from the environment source [1]. One of the methods is using solar PV cells to harvest the energy from sun. Various type of techniques have been developed i.e. stationary solar tracking system...
Thinning is one of the most important preprocessing steps in the character recognition. But this process has certain limitations like low speed and deformation. To eliminate this problem, skeletonization is used, where the character to be recognized is skeletonized. This paper describes how characters are recognized by skeletonization algorithm which is trained by neural network. Here for better understanding...
Spectrum scarcity is one of the biggest challenges that the current wireless sensor network is facing. With the exciting progress of wireless sensor network (WSN) within 5 to 10 years, the world will be full of low power wireless sensor devices. Due to the independent design and development, together with the unexpected dynamics during deployment of co-existing networks and devices, the limited frequency...
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