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Chennai, India

Ramesh R.,SathyabamaUniversity | Seshasayanan R.,Anna University
International Journal of Applied Engineering Research | Year: 2014

In recent year a lot of detection techniques are available for improving the performance of MIMO-OFDM. In this paper, we propose a novel approach which is a combination of, a fast FFT architecture is addressed with linear Precoding and zero forcing detection technique, the throughput increased and the power minimized in MIMO-OFDM in a better manner. Fastest FFT reduces the memory usage such that it reduces power, the performance can be obtained by evaluating by finding the parameters S.R and BER. The linear Precoding design is general, and as a special case it solves the beam forming problem. The zero forcing (ZF) detection technique optimized the MMS. - [minimum mean square error] and ML - [maximum likelihood]. The proposed approach creates an efficient auto correspondence system based time multiplexing and the use of abridged testers while conserving the recital by applying a stepwise procedure and an N x N MIMOOFDM scheme is used for the recital assessment. The replication results demonstrate that the recital of the proposed novel method based recognition methods is much better than the conservative approaches. The replication is done using MATLAB 2012 a S.mulink model. © Research India Publications.

Harini M.,SathyabamaUniversity | Nandhitha N.M.,Sathyabama University
International Journal of Applied Engineering Research | Year: 2015

Motion feature detection from videos is the process of tracking down moving objects from a captured or live telecast is monitored using CCTV camera. Thevariation in present frame with the background image or reference of a specific location. The different types such as eye,lip, handindications, face and edge detections. These techniques are used for the obtaining and identifying mobility feature. This paper provides an effective survey on video movement detections. © Research India Publications.

Kumar V.D.A.,SathyabamaUniversity | Ramakrishnan M.,Vellemmal Engineering College
Procedia Engineering | Year: 2012

Footprint identification is the measurement of footprint features for recognizing the identity of a user. Footprint is universal, easy to capture and does not change across time. The image enhancement is carried out to obtain an accurate image. One of the main objectives of any image filter is enhancing the pictorial information of the image. Hence spatial domain techniques are used which directly process the pixel array of the given input image. In this paper, we have used various filtering techniques to enhance the image. Compare to other techniques proves to be better for accuracy.

Venkatesan S.P.,SathyabamaUniversity | Kadiresh P.N.,P.A. College | Kumar K.S.,Bsabdurrahmanuniversity
Advanced Materials Research | Year: 2014

Influence of aqueous cerium oxide nanofluid on the major physicochemical properties of diesel and the performance and exhaust emission characteristics of diesel engine were investigated. 50cc of aqueous cerium oxide nanofluid was dispersed into 1 litre of diesel fuel for preparing test fuel. The diesel with and without aqueous cerium oxide nanofluid was tested in a direct injection diesel engine at 0%, 25%, 50%, 75%, and 100% of full load condition. Nano-sized cerium oxide has more surface area, higher activity and can react with water at high temperature to generate hydrogen and improve fuel combustion. Also cerium oxide acts as oxygen buffer causing simultaneous oxidation of hydrocarbons as well as the reduction of oxides of nitrogen. The results on the combustion of diesel mixed with aqueous Cerium oxide nanofluid showed an increase in total heat of combustion and a decrease in concentration of HC, NOx and smoke in the exhaust emission from the diesel engine. © (2014) Trans Tech Publications, Switzerland.

Ravali M.,SathyabamaUniversity | Srujana A.,SathyabamaUniversity | Andrews J.,Sathyabama University
International Journal of Applied Engineering Research | Year: 2015

Now a days transferring of messages hiding them in a image has become very popular.In this paper we have proposed a technique that detects video tampering and distinguishing it from other video processing techniques such as recompression,brightness increase and noise,using practical watermarked for authentication of digital video in real time.In this method macro blocks and frames indices are represented by watermarked signals,which are installed into nonzero quantized DCT estimation of pieces basically last estimations of squares empower to discover spatiotemporal altering and in division moreover.We can easily be configured in adjusting the capacity of the system at specific application in use and its transparency and robustness.In addition to all these cryptography techniques are used to provide security to the system. We can apply this method to any modern video codec, including the video coding standard with high efficiency which was recently released. We have shown that when compared to the already existing methods in which we can embed extra bits into the video frames this method causes video distortion to a smaller extent. The compression techniques used earlier are modified which increases the hiding capacity of the bits.To provide security other methods are used instead of prediction methods. © Research India Publications

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