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Review Paper on Shifted Histogram Using Optimal Shift Distance for Images with Entropy Value & Wavelet Decomposition Images

A histogram is a graphical representation of the brightness values that comprise an image. The brightness values (i.e. 0-255) are displayed along the x-axis of the graph. The frequency of occurrence of each of these values in the image is shown on the y-axis. Histogram of a digital image with intensity level in the range of [0, L-1 ] is a discrete function h(rk) = nk where rk is the kth intensity level and nk is no of a pixel in the image with intensity rk. Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Histogram equalization automatically determines a transformation function that seeks to produce output images that have a uniform histogram. When the automatic enhancement is desired that is the good approach because result from this technique are predictable and method is simple to implement. The method used to generate a processed image that has a specified histogram is called histogram matching or histogram specification. In this thesis we will use the advanced algorithm to enhance the quality of an image and we succeeded and also got the entropy value of image by changing the scaling factor K we got different value and also got different shifted histogram image. In our research work, we will work on the different level to analyze the effect of an algorithm. By changing scaling factor we analyze different EME and image enhanced significantly from which a lot of important information can be recovered.

Published by: Rekha, Vijay Nandal

Author: Rekha

Paper ID: V3I2-1491

Paper Status: published

Published: April 14, 2017

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Research Paper

Taxonomy of Load Balancing

Cloud computing is one of an emerging technology in the computer world these days. Virtualization is the concept behind cloud computing that allows sharing of resources like software, infrastructure, and platform. Different people share different views regarding cloud computing. Some enterprises take a lot of advantages from cloud computing while other considers it being an unsafe place for storing critical information. Load balancing is one of an important issue in cloud computing. This paper is for those who want to understand the basics of load balancing.

Published by: Divya Garg, Er. Anurag Jain

Author: Divya Garg

Paper ID: V3I2-1509

Paper Status: published

Published: April 14, 2017

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Manufacturing Of Eco-Friendly Parking Tiles

In this project, we have manufactured parking tiles by using Electronic Waste. We use recycled Electronic Waste as a raw material in the manufacturing of parking tiles & it is one of the alternative methods for disposal of Electronic Waste. We have replaced Silica & Crush by Electronic Waste in a small amount. We have used Electronic Waste in powder form after recycling it. Electronic Waste does not contain metals. After manufacturing of “Eco-friendly Tiles,” we get the results as per conventional tiles. Due to the use of recycled Electronic Waste cost of tiles increases. Because now a day Electronic Waste recycling plants are minimum or negligible so that cost of parking tiles increases but after some years it becomes minimum due to an increase of Electronic Waste recycling plants.

Published by: Supriya Sunil More, Poonam C. Ombale, Jyoti A. Dalavi, Trupti B. Dalavi, Prajkta D. Ghadge, Prof. S. S. Lembhe

Author: Supriya Sunil More

Paper ID: V3I2-1506

Paper Status: published

Published: April 14, 2017

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A Hybrid System for Chemical Named Entity Simplification

One explicit challenge in medicine named entity recognition (NER) and normalization is that the identification and resolution of composite named entities, wherever one span refers to over one idea (e.g., compositeBRCA1/2). Previous Named Entity Recognition (NER) and normalization studies have either neglected composite mentions, used straight forward rules or solely handled coordination omission, making a strong approach for handling composites mentions greatly required to the present finish, we tend to propose a hybrid technique integrating a machine-learning model with a pattern identification strategy to spot the individual elements of every composite mention. Our method , that we’ve named SimConcept is the first to consistently handle many sorts of composite mentions. The technique achieves high performance in distinguishing and resolving composite mentions for three key biological entities: genes (90.42% in F-measure), diseases (86.47% in F-measure), and chemicals (86.05% in F-measure).The proposed SimConcept technique will later improve the performance of gene, disease chemicals concept recognition and normalization. We observe that in our datasets, approximately 10% of gene, disease, and chemical mentions are composite mentions, hence, it is important to handle them properly. This study presents a new method for bio-concept mention simplification in a systematic fashion.

Published by: Gunjal Sonali Vishram, Prof. N. B. Kadu

Author: Gunjal Sonali Vishram

Paper ID: V3I2-1504

Paper Status: published

Published: April 14, 2017

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Review Paper on Image Compression Using Lossless and Lossy Technique

As we know today to store data is a big issue that’s why we are shifting towards cloud computing which is very advanced technology. Besides this if we compress our data that means which can take less space as compared to original data. There are lots of techniques to compress data and in our research we will implement some of them. Basically compression is of two type lossy and lossless. Compressing an image is significantly different than compressing raw binary data. If we used general or outdated technique to compression images then result would be not optimal as it should be. This is because images have definitely statistical properties which can be triggered or exploited by encoders which are implemented or design for them. In image we have to give up some fine details for the sake of saving a little more bandwidth or storage space. So we can say that lossy compression technology. In this dissertation compression of digital images are done with the help of DCT. Several encoding technique have also been used together with DCT to improve the performance of compression. A computational analysis of picture quality is also made with respect to compression ratio and PSNR.

Published by: Madhu, Sunil Dalal

Author: Madhu

Paper ID: V3I2-1502

Paper Status: published

Published: April 14, 2017

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A Review Paper on Robust Model Design for FSO Communication System for Analysing Of Different Parameters

Communication is an important part of our daily life. The communication process involves information generation, transmission, reception, and interpretation. The transmission using high bandwidth can handle vast amounts of information, which can be further improved by reduction in fibre losses, increase in data rates and distances, development of optical sources and detectors compatible with fibres. Today’s demand is a communication link with maximum performance and minimum errors. Free Space Optics is a medium with high bandwidth having maximum data rates and security issues favoring its promotion for the present era. Wide bandwidth signal transmission with low delay is a key requirement in present day applications. Optical fibers provide enormous and unsurpassed transmission bandwidth with negligible latency and are now the transmission medium of choice for long distance and high data rate transmission in telecommunication networks. After studying a lot of research paper some analysis is carried out. We have to see an impact of various conditions like atmospheric turbulence, path loss factor, distance, and BER. BER is one of the most important parameters which should be minimum otherwise distorted information will be received at the receiver side and BER increases with distance and other atmospheric turbulence.

Published by: Usha, Manisha

Author: Usha

Paper ID: V3I2-1500

Paper Status: published

Published: April 14, 2017

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