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Recent Papers

An Insight into the Energy Efficiency based Image Compression on Handheld Devices

Transmission of facts like voice, textual content, photograph and video has many drawbacks like confined statistics degree of networks, noise in the channel, battery constraints of the gadgets and many others. This paper addresses the power and information degree drawbacks of pictures in digital conversation. The intention is to supply a comparison of the modern techniques supported the number of information within the snap shots, minimizing the strength needed for communication and also the obtainable transmission bandwidths. The fashions in comparison are the compression algorithms for mobile gadgets to cut back the transmission power of snap shots through wireless networks and adaptive facts codec for still photos so one can appreciably decrease the energy needed for Wi-Fi photograph communication. The rule is applied earlier than transmission images and is obvious to users. We will be predisposed to consequently use publically obtainable databases for our evaluation of power low-budget compression method.

Published by: M. Jyothirmai

Author: M. Jyothirmai

Paper ID: V2I6-1278

Paper Status: published

Published: January 2, 2017

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A Novel Approach for Building Low Cost Automatic Gear Shifter

In this study, a gear shifting mechanism was designed and applied to make the shifting process faster and less difficult for the driver. This device provides a solution towards the difficulty in operating gears in manual transmission cars. This system incorporates an electromechanical system which can be attached to the existing gear shifter without altering the existing system and also provides an option to use the existing manual shifting as such according to the desire of the driver. The system consists of an efficient control system using Arduino Mega microcontroller which controls the motion of the existing gear sticks and clutch position. It uses a Grove electromagnet to adjust the gear lever position with the change in speed along with a DC motor arrangement to control the motion of the clutch pedal. The system also includes a PID control mechanism to determine the gear stick motion and also to optimize the performance of the car at varying driving conditions.

Published by: Manu R

Author: Manu R

Paper ID: V3I1-1152

Paper Status: published

Published: January 2, 2017

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Simulation of Diagnosing and Protecting the Boost Converter Circuit from Open Circuit and Short Circuit Switch Fault

Diagnosing Fault in a DC-DC converter is important to prevent the damage of converter. The objective of the paper is diagnosing the fault occurred and preventing the damaging of the converter. This Paper deals with the simulation of open and short circuit switch fault analysis in the DC-DC Converter using MatLab Simulink. The converter used here is Boost Converter which is also known as Step Up Converter. The faults are created here by the external circuit and it is cleared using a closed loop control ant the corresponding waveforms are studied. The results of simulations are compared with theoretical results. A Simulink model is developed and it is successfully used for fault diagnosis.

Published by: N. KamalaKannan, A. ArulVizhi, B. Balaji

Author: N. KamalaKannan

Paper ID: V3I1-1149

Paper Status: published

Published: December 30, 2016

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An Improved Hierarchical Clustering for Information Retrieval System

Now in these days the information need is increasing rapidly in our day to day life therefore a large number of users are accessing data from search engine. The search engines are composed with three major components user query interface, search algorithm and the ranking process. During search process the system evaluate the user input query and the database documents according to best fit documents are retrieved. The retrieved document is then ranked according to the user query relevance thus most near document of the user query is listed first. The available technique are provides the ranked listing of documents. In this presented work first the recently developed text document retrieval models are evaluated and then after a traditional model of document retrieval is enhanced with help of supervised classification technique. The proposed data model of the document search first finds the document’s word probability using the Bayesian classification approach then after the data is normalized to find the similar length of text document features. These document features are used to make training of neural network .The neural network processes the input training features and makes training for the documents pattern. This data model is used to predict the user input data patterns from the existing set of data. The implementation of the proposed technique is performed using the JAVA development technology after implementation of the desired document retrieval technique the performance of the system is estimated in terms of accuracy, error rate, memory consumption and the time consumption. According to the evaluated results the performance of the algorithm is found more optimum. Thus the given model is more adoptive as compared to the traditional approaches available.

Published by: Ila Shrivastava, Rahul Moriwal

Author: Ila Shrivastava

Paper ID: V2I6-1276

Paper Status: published

Published: December 29, 2016

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An Improved Energy Aware Trust Derivation Scheme using Game Theoretic Approach

In wireless sensor networks (WSN) trust plays a very important role, which is one of the most popular network technologies for the Internet of Things (IoT). The efficiency of the trust evaluation process is largely comprised by the trust derivation, as it influences the overhead in the process, and performance of WSNs is particularly sensitive to overhead due to the limited bandwidth and power. This paper extends the previous work of energy aware trust derivation scheme using game theoretic approach, by increasing the overall trust derivation process and improving the energy consumption which manages overhead while maintaining adequate security of WSNs. A risk strategy model is first demonstrated to stimulate WSN nodes’ cooperation. Then, a game theoretic approach to secure report reading and trust derivation algorithm is applied to improve the overhead of the process. We show with the help of simulations that our improvement in the overall trust derivation scheme can achieve both intended security and high efficiency suitable for WSN-based IOT networks.

Published by: Abhijit M. Mandape, Mrs. Sayali S. Mane

Author: Abhijit M. Mandape

Paper ID: V3I1-1144

Paper Status: published

Published: December 29, 2016

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The Gateway Based Adaptive Gateway Discovery Scheme in Mobile Ad-hoc Network

From last two decades wireless networks are gaining popularity and have been widely used. Mobile adhoc network is a great solution to the current need of low-cost, on-demand, autonomous and infrastructure-less network which is highly portable, mobile and temporary in nature. To connect MANET to fixed network, any node in MANET should be configured as a gateway. Node that wants connectivity needs to discover present gateways in MANET. To reduce overhead, previous schemes tune Time to Live and/or Advertisement Interval of gateway advertisement packets based on total source nodes and/or mobility of nodes in MANET. As discussed in [4], it is also possible to consider number of gateways in MANET to adapt the discovery procedure. Proposed scheme does the same. It is found that the new scheme shows better results in terms of less routing overhead with same Delivery Ratio and End-to-End Delay, compared to proactive and hybrid gateway discovery schemes.

Published by: Ruchik N. Jani

Author: Ruchik N. Jani

Paper ID: V2I6-1275

Paper Status: published

Published: December 29, 2016

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