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Review Paper

Artificial Intelligence and its associated application in medical field

Prediction is a crucial facet within the medical domain. This paper encourages the utilization of Artificial Intelligence for prediction in medical life as technological support. There's a powerful impact upon all activities because of health, and human consultants should have the power to choose the adequate treatment which is able to be the evolution of the patient throughout the treatment. Since the mechanisms of AI have many advantages that are appropriate for this, it assists human intelligence in decision-making/prediction. The preciseness of mathematics and also the power of current technologies are the two robust qualities used in the system when they are combined to produce positive options as a result.

Published by: Pooja Gundagurti

Author: Pooja Gundagurti

Paper ID: V5I5-1195

Paper Status: published

Published: October 1, 2019

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Research Paper

Customer satisfaction towards Honda Activa: A study in Jabalpur City

At the time of innovation of two-wheelers and its commercialization, it could not be imagined that the two-wheelers would also be designed and commercialized for women also. But the innovations and technological upgradations made it possible and a new thought emerged in the industry for designing the two-wheelers by which women (so-called half of a population) can be attracted to it. Nowadays, without geared two-wheelers are in keen demand for both male and female as it is easy to ride and handle. The study has been done to assess the customers’ satisfaction level about Honda Activa in Jabalpur city. The study is based on primary data which has been gathered through a structured questionnaire from 200 respondents of Jabalpur city. A convenience sampling technique has been used in this study to collect the data. The demographical representation of the respondents has shown through percentage analysis whereas, the satisfaction level of the respondents with Honda Activa has been analyzed by the researcher through Likert scale technique, mean and ranking methods. Influencing factors that affect in buying decision of the bike has been analyzed by the chi-square test. Assessing high customer value would always lead to high customer loyalty.

Published by: Saif Ul Haque, Dr. C. P. Gujar

Author: Saif Ul Haque

Paper ID: V5I5-1187

Paper Status: published

Published: October 1, 2019

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Review Paper

A review on various approaches of data hiding for secure data transmission

Steganography is the field of image processing that has been used from ancient times for secure data transmission. In the process of Steganography secret information has been embedded in a signal so that that can be transmitted through a transmission channel under secure manner. In this paper various types of steganography and approaches have been used for data hiding. This paper comprises different approaches for image, video as well as for data hiding in audio signals. By studying these different approaches for data hiding in different types of signals, we observe that video steganography is the best medium for large data transmission and security. Video file contains a number of frames so that data can be easily hidden behind these frames. In this paper, various approaches for audio and video steganography that provide minimum distortion has been discussed.

Published by: Mamta, Urvashi Sharma

Author: Mamta

Paper ID: V5I5-1193

Paper Status: published

Published: September 28, 2019

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Research Paper

A study on the effect of block-chain and cryptocurrency on the financial industry

Blockchains and Cryptocurrencies have become what some may call a buzz words, however very few understand what the words mean. Individually, Bloch-chain is this new, upcoming and disrupting technology that at its most basic level, is literally just a chain of digital blocks. We all must have heard the continuous chants “block-chain is a distributed, decentralized, public ledger."- FORTNEY Jun 25, 2019. Investopedia. Luckily, it’ just that. Nothing as complicated as you may have believed. Cryptocurrency, on the other hand, is this asset that runs on a blockchain, it is designed to work as a currency. Which is to say It uses cryptography to secure and verify transactions as well as to control the creation of new units of a particular cryptocurrency. Together, they can do anything from voting to insurance payments. We are already seeing multitudes of companies forming their own blockchains and cryptocurrencies. It is something people are willing to put a lot of money behind without a lot of surety of purpose, which is rare. –Fortney Investopedia. There are very few things that 100% of the people agree on, while this statement is true we must take into account how nothing has divided the financial industry quite so successfully. Some calling it a bubble. It has created overnight billionaires and as created a lot of employment over the years. It is also the cause of the loss of money and potentially millions of jobs in the future. - From Branson, Facebook Co-founders, Cuban to endorsing it to O’Leary, Dalio. In this research paper we aim to find out how these technologies have found such a strong foothold in the media, why it may seem scary (for the lack of a better word) to legalize these two purely disrupting and genius technologies, and how is it going to impact the industry in the coming years that truly runs the world, finance.

Published by: Dr. Varsha Agarwal, Simran Singh, Tanmoy Saha, Sofi Eshan Ahmad

Author: Dr. Varsha Agarwal

Paper ID: V5I5-1190

Paper Status: published

Published: September 28, 2019

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Review Paper

A review on various approaches of remote sensing based satellite image classification

Image Classification is the process that has been done for extraction of valuable regions from the image. In this paper various approaches have been discussed that has been used for process of image classification. Supervised image classification and unsupervised image classification has been widely used for classification process. Classification has the major advantage that provides information about the various regions that are scattered over the satellite image. This has been used for prediction of percentage of various regions under different maps. Supervised classification approaches are based on machine learning algorithms that have been used for different types of prediction and decision making processes. On the basis of various approaches that have been discussed in this paper one can predict best approach for image classification process.

Published by: Roseleen Sahota, Dr. Harish Kundra

Author: Roseleen Sahota

Paper ID: V5I5-1194

Paper Status: published

Published: September 28, 2019

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Case Study

Design, analysis and manufacturing of flexible and functional stirrup and steel profile bundle-tie manufacturing machine

Manufacturing process costs can be reduced by providing the mechanization of labor-intensive works such as construction and logistic operations in profile rolling. Although there are certain manual and semi-automatic machines available for the production of stirrups on constructions, using of physical strengths can not be eliminated, and these machines can not be used effectively for the production of steel profile bundle tie. In this study, it is aimed to design, analyze and manufacture of a functional machine based on hydraulic and automation system which has the flexibility to perform not only the production of bundle tie used in the transporting processes of the hot rolled steel profiles but also the stirrups used in construction sectors. The required process times for material feeding - straightening, bending, cutting and twisting operations were calculated. In line with the calculations, drive and transport mechanisms were designed and the motor-reducer pair was selected and the hydraulic cylinders and hydraulic power unit were dimensioned by using numerical engineering calculations. In order to validate the torque requirements of the motor-reducer groups which are calculated by using numerical engineering calculation methods, finite element method supported bending analyzes are performed and torque-time curves were obtained and the drive systems of the designed mechanisms are verified. Stress-time diagrams of Grade-75 rods, which are the raw material of bundle-tie production, are also obtained during the validation of the drive systems by finite element method supported analyzes. The bending regions of the bars were examined on the basis of the stress-strain diagram and the plastic forming capabilities of the process are evaluated. By this means, applying of excessive plastic deformation of the workpiece is prevented and optimizing of the final product's mechanical behavior is provided. By using the data obtained within the scope of the study, a flexible and functional structured machine was designed and manufactured which can perform many kinds of plastic deformation processes successfully.

Published by: Ilter Kilerci, Burak Onder, Aytac Bassullu

Author: Ilter Kilerci

Paper ID: V5I5-1179

Paper Status: published

Published: September 27, 2019

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