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In this paper we carried out characterization of the effect of temperature effect in scaled ultra thin SOI MOSFET. In ultra thin devices threshold voltage is influenced by the thickness of silicon film and doping concentration in channel. Self heating is challenging issue for ultra thin SOI MOSFET and we investigated the characterization of the self heating effect on drain current in Saturation region and its achieved by varying V DS and V GS

We propose an improved analytical Drain current modeling for nano scaled surrounding gate MOSFETs. The proposed device structure is scaled in nanometer. The Surround Gate device operation also analyzed in linear region and saturation region. The other device parameters kept constant to analyze its behavior. The drain current at saturation is also considered.

Optical fiber which can be used for distributed sensing are employed to study backscattered power. The concept of Brillouin backscattering is employed in the proposed method. The focus is on the relation between the backscattered power and temperature changes in the fiber due to changes in fiber surroundings. The Brillouin backscattered light signal power can be used to obtain information about the temperature distribution along the fiber. Detailed simulation is done to validate the proposed method by designing system in the OptiSystem software.

With fast evolving technology, Cognitive Science plays a vital role in our day-to-day life. Cognitive science is summed up as the investigation of psyche taking into account logical techniques. It is about the entirety of all interdisciplinary like logic, brain research, semantics, computerized reasoning, mechanical autonomy, and neuroscience. In this paper, we concentrated on the outward appearances or feelings of person as it has a critical part in interpersonal relations. In this strategy, we use back propagation system for image processing. It is a data preparing framework that has been created as a speculation of the numerical model of human acknowledgment. We have proposed a framework to investigate EEG flags and group them into various feelings (upbeat, miserable, outrage, dread and so forth). We have accumulated a dataset with EEG signals. This was finished by measuring EEG signals from individuals that were sincerely invigorated. This system enabled us to instruct our structure the relationship between the characteristics of the psyche activity and the feeling. We have watched diverse cerebrum values(α, β, θ) utilizing single cathode EEG.