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Research Paper

Prediction and diagnosis of liver disease

India having a population of approx.1.3 Billion is the second most populated county in the world and each year millions are diagnosed with liver diseases. Some types of liver diseases are Jaundice, Hepatitis (A, B, C), Fatty Liver Diseases (FLD). These are caused due to consumption of alcohol, contaminated food, obesity, etc. For a common man, it is not practical to diagnose these diseases thus we need a system that is reliable and can predict the symptoms of liver disease. This system predicts liver disease using the patients' data and the Naïve Bayes algorithm.

Published by: Samhitha Vishwanath, Ankita K., Ajay S., Annay Maity, Aruna Kumara B.

Author: Samhitha Vishwanath

Paper ID: V6I3-1509

Paper Status: published

Published: June 13, 2020

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Review Paper

Platform for patrons

Many of us feel that we can do a lot to help those in need. It can be to help people in poverty or for a cause. A lot of organizations are trying to help people in their own unique way amidst many problems they are facing. But there is a gap in this process where we, the people do not know or do not trust or to put it simply don't have enough proof that what we do will have an impact. The idea of helping others in a trustworthy, transparent and comfortable way with the tap of a button would help people take a step forward and make a difference

Published by: Abhinav Kumar Abhay, Sushira V. R., Kartik Sharma

Author: Abhinav Kumar Abhay

Paper ID: V6I3-1508

Paper Status: published

Published: June 13, 2020

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Research Paper

Implementing accident rescue system using smart phone

With the increased population rate around the world, the rising demand for automobile has increased the traffic leading to more accidents on the road. The time between the occurrence of the accident and the arrival of the emergency responder the scene is very important and reducing this time may affect the number of fatalities. This project will provide the optimum solution to the above. This proposed system will help to send the information messages to nearby emergency services and the accident location for the timely response. In this project, the accelerometer sensor ADXL355 is used to detect any hit of the vehicle and will send the signal to the Arduino microcontroller. The Arduino UNO is used which send the signal to the main processor and the alert system along with the location o the accident will be sent to the rescue teams and GPS technologies are used in our project.

Published by: Aaditya Pawar, Prince Bhawsar, Vikas Bakore, Vabhavi Kapse, Ayushi Digarse, Sharda Tekpure, Ruchi Sawal

Author: Aaditya Pawar

Paper ID: V6I3-1499

Paper Status: published

Published: June 13, 2020

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Research Paper

Internet of things (IoT) to make commercial avionics and aerospace smarter for aviation industry: An executive perspective

A huge system of interconnected devices has changed the way we live our lives every day. In the field of aeronautics, IoT could also be the link that develops new developments and allows the digital aviation age to flourish. This article explains how IoT is used in aircraft and discusses a variety of cabin use scenarios.

Published by: Sunilkumar Gopakumar

Author: Sunilkumar Gopakumar

Paper ID: V6I3-1496

Paper Status: published

Published: June 13, 2020

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Case Study

Integral security option towards unpredictable patterns

The most predominant computer authentication method is to use alphanumerical usernames and passwords whereas this method has been shown many major disadvantages. This is due to the problem that, users tend to choose passwords that can be easily guessed and hacked by hackers. On the other hand, Considering the user has got a password which is difficult to guess, then it is difficult to remember. To overcome this kind of problem of low security, High-end Authentication methods are developed by researchers that use images as crystal clear password. In our research, we conduct a comprehensive study on the existing graphical password techniques and provide a possible solution using Graphical password schemes which have been proposed as a possible alternative to text-based schemes. This is based on the human intelligence analysis such as, humans can remember pictures better than text; Pictures are generally very easy to be remembered or recognized than text. The high-level concept is, the user is permitted to click the portion of an image, each click results in showing a next-image, in effect leading users down a “path” based on the type and portion of click on their sequence of points. A wrong click by the fake user leads down in an incorrect path, with an explicit indication of authentication failure only after the final click. Fake users more than 2 attempts will be blocked from future access.

Published by: Ragamai Vallathur, M. Jansi Rani

Author: Ragamai Vallathur

Paper ID: V6I3-1501

Paper Status: published

Published: June 11, 2020

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Research Paper

Dissemination of digital question paper using biometric

In the present instruction framework, a few colleges send the question papers physically to the colleges, the security of queper (Question Paper), and sending queper to the universities is an extremely long and hazardous process. Our application Dissemination of digital question paper using biometric, circulating the specific subjects question paper upon the arrival of the beginning of the exam without allowing to complete any acts of neglect. In our application, the administrator makes sections of different universities and spectators inside application, enrollment process for college, and observer is done commonly utilizing the site by entering their subtle elements. Here question papers are put away into the database in the encryption method. Afterward, login by college and observer, both need to login to the application at once with their username and secret word alongside biometric to download the particular quepers on that day of initiation of the exam, quepers are accessible in the application as in decrypted form. The examination will depict our experience and future work particularly helped for the college and understudies.

Published by: Sheela M. S., Jyothi Kusgur, Pooja S.

Author: Sheela M. S.

Paper ID: V6I3-1498

Paper Status: published

Published: June 11, 2020

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