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Review of Cognitive Spectrum Sensing Of Secondary User by Soft Computing

Subjective Radio innovation is being used to give a system for using the range more beneficially, range detecting is crucial to this application. The limit of Cognitive Radio frameworks to get the opportunity to spare zones of the radio range and to keep watching the range to ensure that the Cognitive Radio framework does not cause any undue obstacle depends completely on the range detecting parts of the framework. For the general framework to work suitably and to give the required change in range effectiveness, the Cognitive Radio range detecting framework must have the ability to enough recognize some different transmissions, perceive what they are and teach the central get ready unit inside the Cognitive Radio with the objective that the required move can be made.

Published by: Manpreet Kaur, Mayank Joshi

Author: Manpreet Kaur

Paper ID: V3I4-1279

Paper Status: published

Published: August 1, 2017

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Research Paper

Flame Retardant Luffa Fiber Reinforced Composites with Epoxy Resin Matrices

In current years composites have concerned considerable importance as a potential operational material. Low cost, light weights, high specific modulus, renewability and biodegradability are the most basic & common attractive features of composites that make them useful for industrial applications. Luffa- cylindrica locally called as “sponge-gourd” is one such natural resource whose potential as fiber reinforcement in polymer composite has not been explored till date for tribological applications. In this research twin layer fiber and triple layer fiber composites are prepared and were tested to study thermal properties.

Published by: Gurmeet Singh Arora, Dr. A. S Verma, Dr. Nitin Srivastava

Author: Gurmeet Singh Arora

Paper ID: V3I4-1265

Paper Status: published

Published: August 1, 2017

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Research Paper

Experimental Investigation of Mechanical Properties of Luffa-Epoxy Composite

In current years composites have concerned considerable importance as a potential operational material. Low cost, light weights, high specific modulus, renewability and biodegradability are the most basic & common attractive features of composites that make them useful for industrial applications. Luffa- cylindrica locally called as “sponge-gourd” is one such natural resource whose potential as fiber reinforcement in polymer composite has not been explored till date for tribological applications. In this research twin layer fiber and triple layer fiber composites are prepared and were tested to study mechanical properties.

Published by: Gurmeet Singh Arora, Dr. A. S Verma, Dr. Nitin Srivastava

Author: Gurmeet Singh Arora

Paper ID: V3I4-1264

Paper Status: published

Published: August 1, 2017

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Research Paper

Image Processing Based Disease Detection for Sugarcane Leaves

Sugarcane is one of the most important crop in India. Indian sugar industry is the second largest agro based industry, next only to the textiles. But, being long durational crop, sugarcane is prone to the number of disease caused by pathogens viz. fungi, bacteria, viruses and phytoplasmas like organisms. Image processing techniques has been proved to be changing the scenario of agriculture in India with a number of research and applications like automatic disease detection, drone based pesticides and fertilizer dispensing, estimation of yield, vegetative growth, fruit sorting etc. This research is carried out to study effectiveness of Image Processing and computer vision techniques for detection of disease in sugarcane plants by observing the leaves. Few major diseases in sugarcane plant like red rot, mosaic and leaf scald have been studied and detection algorithm for the same has been implemented in this research work.

Published by: Arifa Khan, Manmohan Singh Yadav, Dr. Shafeeq Ahmad

Author: Arifa Khan

Paper ID: V3I4-1267

Paper Status: published

Published: July 31, 2017

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Review Paper

Crack Detection in Railway Track Using Image Processing

Computer vision can provide many potential advantages over manual methods of railway track inspection. Great levels of performance can be achieved through the automation of inspection using computer vision systems, as they allow scalable, quick, and cost-effective solutions to tasks otherwise unsuited to humans. At a minimum, railway track components can be objectively and quantitatively inspected, as the system does not suffer from fatigue or the subjectivity inherent with human inspectors. The digital nature of the data collection involved with a computer vision based method, archiving inspection results and trending of the data becomes feasible, leading to more advanced failure prediction models for maintenance scheduling and a more thorough understanding of railway track structure. In this research paper, a computer vision based method is presented. A system has been suggested which can periodically take images of the railway tracks and compared with the existing database of non-faulty track images on a continuous basis. If a fault arises in the track section, the system will automatically detect the fault and necessary actions can be taken, to avoid any mis-happening.

Published by: Aliza Raza Rizvi, Pervez Rauf Khan, Dr. Shafeeq Ahmad

Author: Aliza Raza Rizvi

Paper ID: V3I4-1266

Paper Status: published

Published: July 31, 2017

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Research Paper

Gateway Based Energy Efficient Routing: GEER

Wireless Sensor Networks comprise of an extensive number of little and minimal effort sensor nodes energised by little non rechargeable batteries and furnished with different detecting gadgets. WSN is sent, most likely in a rough and inhospitable landscape, it is relied upon that all of a sudden dynamic to accumulate the required information for a few times when something is identified, and after that outstanding to a great extent idle for drawn out stretches of time. In this way, scientists are constantly persuaded to configuration create effective energy efficient plans and relating calculations with a specific end goal to give sensible optimal utilization of battery power and to enhance the system lifetime for WSNs. The lifetime of wireless sensor network systems is enhanced by cluster location and balancing the network loading among the clusters. In this research work a gateway based technique has been contemplated. The nodes have been isolate into ordinary, middle of the road and progressed in light of their vitality arrangement and every class has its own particular paradigm for determination likelihood. The calculation performs well as far as number of alive nodes, network lifetime, average energy and so forth. A comprehensive investigation as far as different graphical parameters is additionally introduced in this work.

Published by: Naziya Anjum, Masood Ahmad, Dr. Shafeeq Ahmad

Author: Naziya Anjum

Paper ID: V3I4-1263

Paper Status: published

Published: July 31, 2017

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