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Recent Papers

Study of Dry Eyes in Post Menopausal Women-A Rural Hospital Based Study

Purpose: To establish the occurrence and prevalence of dry eye in postmenopausal women in a rural hospital and also to establish the effect of age on dry eye. Material and methods: Female patients of postmenopausal age groups, i.e. 45 years and above age group, attending Ophthalmology Out Patient Department at Acharya Vinoba Bhave Rural Hospital, Sawangi, Wardha underwent complete eye check-up. Patients suffering from Lid disorders, trauma, diabetes, contact lens wearers, on medications which can cause dry eye and those not giving consent were excluded from the study. Their detailed ophthalmological examination was carried out and also their evaluation by the physician was done. Schirmer's test 1 was done for diagnosis of dry eye. Discussion: In this study, total 500 female patients were examined, out of which 185 fit the criteria for our study, i.e., they presented with dry eye. So the prevalence came out to be 37%.The 185 female patients included were between the age group of 45 and above years of age.So they were divided into five age groups. First 45 to 49 years of age which included 20 females, second was 50 to 54 years of age which included 31 females, third was 55 to 59 years of age which included 52 females, fourth was 60 to 64 years of age which included 60 females and fifth was above 64 years of age which included 22 females. According to our study, as age progressed, the percentage of patients with dry eye increased with the Pearson's Correlation Factor (r=0.9714).The minimum percentage of dry eye was in patients within the age group of 45-49 years i.e. 30% while a maximum number of patients with the dry eye was in patients > 64 years of age i.e. 44%.This proves that dry eye incidence increases in post-menopausal women, as age progresses. Conclusion: The prevalence of dry eye occurring in Central India among postmenopausal women came out to be 37% in our study. Also, it was established that as age progresses in postmenopausal women, the prevalence of dry eye increases.

Published by: Dr. Aditi Gadegone, Surabhi Sharma

Author: Dr. Aditi Gadegone

Paper ID: V3I1-1294

Paper Status: published

Published: January 30, 2017

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A Survey on Clustering Algorithms used to Perform Image Segmentation

: The goal of this survey is to use different Clustering techniques to perform image segmentation. Clustering means a grouping of images which share some common attributes. The purpose of clustering is to get a meaningful result, effective storage, and fast retrieval in various areas. The clustering methods are mainly divided into hierarchical, partitioning, density-based, model-based, grid-based, and soft-computing methods. The goal of this survey is to provide a comprehensive review of different clustering techniques. There are a number of clustering algorithms proposed to perform image segmentation. One needs to choose the best algorithm among them by analyzing the nature of the input image in order to get optimal results.

Published by: Sandhya Prabhakar H, Mr. Sandeep Kumar

Author: Sandhya Prabhakar H

Paper ID: V3I1-1293

Paper Status: published

Published: January 30, 2017

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Automation of a Hydraulic Press Machine Using Bosch Rexroth PLC for remote operation through mobile communication

This research paper focuses on automation of a press tool for the production of sheet metal components. The operation of press tool consisted of sequences of operations. This sequence of operations had to automate for the increase in productivity. For that purpose, PLC is used from Bosch Rexroth, Germany made. With the help of DTMF module, it was made possible to operate the press by using mobile calling from remote locations. In this article, the press thus designed served for the purpose of 73% reduction in production time, with enhanced quality and helped in enabling mass production by eliminating several processes such as marking, cutting done with the help of a cutter, shaping, and so on.

Published by: Mr. G. C. Mekalke, Mr. A. V. Sutar

Author: Mr. G. C. Mekalke

Paper ID: V3I1-1292

Paper Status: published

Published: January 30, 2017

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Impotence and Sterility with Special Reference to its Medicolegal Importance

Impotency and sterility are generated physically and mentally impairment. In our medical practice may be required to examine an individual for impotence and sterility for the medicolegal purposes.

Published by: Dr. Babita Singh, Dr. Sarla, Dr. Umesh Chandra

Author: Dr. Babita Singh

Paper ID: V3I1-1291

Paper Status: published

Published: January 30, 2017

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Big Data: Tools and Applications

The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, but also to analyze and extract meaningful value from it. There are several approaches to collecting, storing, processing, and analyzing big data. Our analysis illustrates that the Big Data analytic is a fast-growing, influential practice and a key enabler for the social business. This paper covers the leading tools and technologies for big data storage and processing. Hadoop, Map Reduce, and No SQL are the major big data technologies. These technologies are very helpful in big data management.

Published by: Kanchana R, Shashikumar D R

Author: Kanchana R

Paper ID: V3I1-1288

Paper Status: published

Published: January 28, 2017

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Growth Level of Big Data

Big data’ is similar to ‘Small-data’, but big data analysis. Big data is, without the doubt, the hot topic nowadays, moreover because the development of new technology makes it possible to analyze all available ever-growing data which easily amasses terabytes of Information. The big data used in 5 billion mobile phones on 2010. There are 30 billion pieces of content shared on Facebook each month is a 40% projected growth in global data generated per year vs. 5% growth in global IT spending. There are 235 terabytes of data collected by the US Library of Congress in April 2011.It is 15 out of 17 major business sectors in the United States have more data stored per company that the US Library of Congress. Then 50 billion devices will be connected by 2020.Every day it seems that a new technique or application is introduced that pushes the edges of the speed-size envelope even further. It boasts scan speeds of 33 million rows/second/core and ingest speeds of 10 thousand records/second/node. The events leading to the discovery and resolution of the scandal point to the promises and challenges of data management for multiparty, multidimensional, international systems. Billions of individual pieces of data are amassed each day, from sources including supplier data, delivery slips, restaurant locations, employment records, DNA 22 records, data from Interpol’s database of international criminals, and also customer complaints and user-generated content such as location check-ins, messages, photos and videos on social media sites. It has used for three different characterize (volume, variety, velocity). Most are keenly aware that Big Data is at the heart of nearly every digital transformation taking place today.

Published by: A. Anitha, V. Vaneeswari, R. Abirami

Author: A. Anitha

Paper ID: V3I1-1287

Paper Status: published

Published: January 28, 2017

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