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A Review on Sensor Network in Smart Grid

The traditional power grid in many countries suffers from high maintenance cost and scalability issues along with the huge expense of building new power stations, and lack of efficiency system monitoring that could increase the overall performance by preventing potential failure. To address these problems, a new generation electric power system called smart grid has been proposed as an evolutionary system for power generation, transmission, and distribution. It utilizes renewable energy generation, smart meters and modern sensing and communication technology for the effective power system. Traditionally, grid management has been realized through wired system formed by communication cables, which involves the heavy cost in terms of installation and maintenance of flexibility, self-organization, and rapid deployment. A smart grid uses digital technology to improve reliability, security, and efficiency of the electric system.

Published by: Priya Sharma, Gitanjali Pandove

Author: Priya Sharma

Paper ID: V3I3-1289

Paper Status: published

Published: May 15, 2017

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A Survey on Fingerprint Minutiae Extraction

The modern world is fully computerized and now it has become more and more important to authenticate people in a secure way. Current applications like online banking or online shopping use techniques that depend on personal identification numbers, keys, or passwords. In this paper we have surveyed on various minutiae extraction techniques.

Published by: Illa Singh, Rohini Sharma

Author: Illa Singh

Paper ID: V3I3-1242

Paper Status: published

Published: May 13, 2017

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Improve Energy Efficiency in Cognitive Radio Ad Hoc Networks by Selecting Secondary User

Wireless networks combining the advantages of both mobile ad-hoc networks and infrastructure wireless networks have been receiving increased attention due to their ultra-high performance. Users have the capability to sense available spectrum in Cognitive Radio Networks (CRNs).Users can opportunistically access to the spectrum. Paper proposed for energy consumption for CRNs, Which is higher in traditional Cognitive Radio Ad Hoc Network (CRAHNs). Users mainly depend on spectrum access so the requirement of network architecture is user spectral. In the proposed network architecture, only parts of user’s are equipped with Cognitive Radio (CR) module. Additionally, user management done, a minimum number of users are selected to sense available spectrum, which aims at reducing the energy consumption further. The minimum number of users selection problem is formulated as an optimal routing algorithm problem under the constraints of energy efficiency and the real-time available spectrum information. Hence, a distributed optimal routing algorithm is proposed to calculate the optimal solution. The optimal routing algorithm in the proposed network architecture outperforms and traditional Cognitive Radio Ad Hoc Networks in energy efficiency.

Published by: Mr. Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad

Author: Mr. Raghunath K. Borkar

Paper ID: V3I3-1299

Paper Status: published

Published: May 13, 2017

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A Watermarking Approach In DWT Domain Using Symlet and Coiflet Filters

Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal. Watermarking has a number of uses in security, authentication and registration purposes. Image Watermarking is a widely sought after research area and many researchers have done extensive study on various aspects of digital image watermarking. Out of those techniques DWT based techniques are quite popular. In this research work a novel algorithm has been presented for Digital Image Watermarking, which uses the DWT technique to perform Watermark embedding and extraction process. The wavelet filter are of many kinds and erstwhile research have been mostly carried on ‘haar’ and ‘daubechies’ wavelet filter. In this research work, ‘symlets’ and ‘coiflet’ filters have been used. A comparative study of results in terms of PSNR and MSE with other filters is also available to give a better reasoning and insight.

Published by: Akanksha Singh, Mohd. Saif Wajid

Author: Akanksha Singh

Paper ID: V3I3-1230

Paper Status: published

Published: May 13, 2017

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Static Signature Matching Using LDA and Artificial Neural Networks

In recent years, the importance of biometrics in authentication and identification has emerged. Both government and private agencies make use of automated human identification using different biometric traits. Signature based authentication has been used for many years. This paper presents an automated static signature recognition approach. We have used Gabor filter for preprocessing of signature images. For matching purpose, artificial neural networks are used, which are trained by the back-propagation learning algorithm. The results show that the given approach yields a good solution to automated signature recognition problem because of its high accuracy (99.5%) and FRR (68%). On the other hand, computational time of the proposed technique is less than the previous approaches.

Published by: Shaina Kedia, Er. Gaurav Monga

Author: Shaina Kedia

Paper ID: V3I3-1235

Paper Status: published

Published: May 13, 2017

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Neurogenic Pulmonary Oedema- Case Report

Neurogenic pulmonary edema (NPE) is an increase in pulmonary interstitial and alveolar fluid that is due to an acute central nervous system injury and usually develops rapidly after the injury. It is still underappreciated in the clinical arena. It's sporadic and relatively unpredictable nature and a lack of etiologic-specific diagnostic markers and treatment modalities may in part be responsible for its poor recognition at the bedside. Neurogenic pulmonary edema in pediatric age group is largely underreported. Three patients presenting with acute onset neurogenic pulmonary edema following head trauma have been described by Neurogenic pulmonary edema in childhood by J. Ross Milley, Stephen K. Mark C. Rogers Nugent (1). We present a case of neurogenic pulmonary edema in a ten yr old female child following recurrent meningitis

Published by: Dr. Saurabh Karmani, Ghuliani Ranjit, Faiz Ahmad

Author: Dr. Saurabh Karmani

Paper ID: V3I3-1232

Paper Status: published

Published: May 13, 2017

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