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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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Research Paper

Location based alarm on Android

Location based reminder are essential component of many location based application. It basically remind user when to do something. The main purpose of location based services is to provide services to customers based on their knowledge of location. All the user need’s to have is the mobile phone with Android operating system and user can select any destination on Google map’s. In this paper we proposed an architecture of location based services which use GPS.

Published by: Sharique Arfi, Shubh Rajesh

Author: Sharique Arfi

Paper ID: V6I3-1493

Paper Status: published

Published: June 11, 2020

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Review Paper

SAFE: Simplified Agro-Farmic Enumerate

The agriculture sector of India employees a major population of Indians. But still, due to emerging constructional projects, the agricultural lands are decreasing. And the number of people to feed is increasing day by day. Also, the profit earned by the farmers for their crops is not satisfactory. So, the solution to all these problems could be a proper crop selection. In India, the crop selection is still done using traditional methods. Some still select the crop on the basis of soil type, but it is not sufficient in today's time. Crop selection can be done more accurately with the help of other factors including soil type, climate, water level, season, etc. Crop selection can be done with the help of Data Science. Data Science is a technology that has the potential to transform every industry on this earth, agriculture is among them.

Published by: Shashank Agrahari, Shivam Punia, Shivam Tyagi, Manish Kumar Sharma

Author: Shashank Agrahari

Paper ID: V6I3-1478

Paper Status: published

Published: June 11, 2020

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Review Paper

Advancement of traditional smoke detectors to smart: A survey

This paper focuses primarily on the importance of smoke detectors that can be utilized in house, office, and shop, security gas station to detect smoke and fire. Safety becomes an important issue when fire detection is present in the home so that children and the elderly who are unable to fight fire smoke can use it. Prior research shows that are many deaths have occurred due to suffocation caused by causalities like sudden fire, circuit failure, unwanted fire hazards. A survey of various existing techniques of smoke detectors and how the techniques grew from traditional to smart, is given in this paper.

Published by: Parul Tyagi, Dilip Yadav, Mukul Dev

Author: Parul Tyagi

Paper ID: V6I3-1464

Paper Status: published

Published: June 11, 2020

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Research Paper

Non-invasive optical intravenous monitoring system

This paper emphasizes Intravenous Fluid Bottle monitoring in hospitals using an innovative non-invasive optical approach. For good patient care in hospitals, the management of fluid and electrolyte bottles is the most fundamental thing required. In all hospitals, an assistant/nurse is responsible for monitoring the bottle’s electrolyte level. But unfortunately, most of the time the observer may forget to change the bottle at the correct time due to a busy schedule which can lead to fatal conditions like air embolism due to air bubbles in IV pipe when the bottle gets empty. To overcome this critical situation, an intravenous optical sensor system is proposed to measure the liquid level from outside the bottle. The device is designed such that it can be easily replaced from one bottle to another. This device can avoid any fatal condition and ease the workload of nurses.

Published by: Abhay Sahu, Rushad Mehta

Author: Abhay Sahu

Paper ID: V6I3-1411

Paper Status: published

Published: June 11, 2020

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Research Paper

Neural Networks based image classification for animal Intrusion Detection System

Agriculture plays a major role in the development of a country. Issues concerning agribusiness have been continually thwarting the advancement of the nation. Farmers face a huge number of issues, for example, the insufficiency of water for irrigation, harm to crops because of pests and wildlife. In any case, productivity is decreased by the wild creatures trampling over harvests and eating them. This project provides a solution for these problems without hurting creatures or setting human life at stake. In this project, we use Raspberry pi to protect the farmland from animals. Classification of the intruded animals is done using the photos taken utilizing the Convolutional Neural Network. This way it is easy to arrive at useful information regarding the intrusions and take measures against it.

Published by: Sushmitha Shankar B., Vidya R., Thanushree M., K. Apoorva

Author: Sushmitha Shankar B.

Paper ID: V6I3-1486

Paper Status: published

Published: June 11, 2020

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