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Research Paper

Hybrid electrical vehicle battery parameters monitoring system on smart phone through bluetooth

Through this project, we have tried to implement a battery management system for a hybrid electric vehicle. The idea of this project came from an electric vehicle safety system. In the electrical vehicle there is a possibility of battery explosion due to excessive temperature, high current or may be improper working due to high discharge current for monitoring these parameters on Smartphone we have designed circuit for same and also for efficient fuel consumption we introduce accelerometer based circuit for slope detection for fuel source change. By using reverse back emf of vehicle tires we can charge a battery. We have used ATmega328p, Bluetooth, accelerometer sensor, lead-acid battery as the hardware part and programming is done in Embedded C using Arduino tool and for Android App, we used MIT app inventor 2. This paper highlights the use of Bluetooth instead of ZigBee in communication.

Published by: Sachin Katmande, Pratik Kangane, Pravin Lokhande, Vishwalata Lakshe

Author: Sachin Katmande

Paper ID: V5I2-1136

Paper Status: published

Published: March 5, 2019

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Research Paper

Design and implementation of agrobot by using IoT

Many advances in technology have made the agriculture business a much less labor-intensive industry. Farmers are looking for new ways to implement technology to cut costs and reduce labor hours. One of the ways that farmers are beginning to explore new technologies in farming come from the automatic machines. Internet of Things (IoT) technology has brought revolution to each and every field of common man’s life by making everything smart and intelligent. IoT refers to a network of things which make a self-configuring network. The Agriculture stick being proposed via this paper is integrated with Adriano Technology, Here we use two applications to show the working of a robot which is going to do crop harvesting and fertilizing in a real-time manner. Other accessories are slaves performing specific operations. The approach is now to develop smarter machines that are intelligent enough to work in an unmodified or semi-natural environment.

Published by: S. Mutharasu, Divya V., Dhivya Bharathi K., Elakkiya M. V., Janani E.

Author: S. Mutharasu

Paper ID: V5I2-1139

Paper Status: published

Published: March 5, 2019

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Review Paper

Experimental study on waste foundry sand and steel slag concrete

Generation of waste foundry sand as by-product of metal casting industries causes environmental problems because of its improper disposal. Thus, its usage in building material, construction and in other fields is essential for reduction of environmental problems. Similarly, in foundries (where the ferrous and non-ferrous metals are melted.), the slag is produced after the completion of the melting process it can also be used as a building material, construction and in other fields. This research is carried out to produce low-cost and eco-friendly concrete. This paper demonstrates the use of waste foundry sand as a partial replacement by fine aggregate and slag is as coarse aggregate in concrete. An experimental investigation is carried out on concrete containing waste foundry sand in the range of 0%, 20 %, 40% by weight and slag is fully replaced (100%) for M-25 grade concrete (OPC). The material was produced, tested and compared with conventional concrete in terms of workability and strength. These tests were carried on a standard cube of size 150mm×150mm×150mm for 7, 14 and 28 days to determine the mechanical properties of concrete.

Published by: Chandrashekhar D. Sahare, Kishor T. Jadhao, Sohan R. Dudhe, Pallavi S. Godichore, Ashwin D. Parate, Nikeeta B. Dethe

Author: Chandrashekhar D. Sahare

Paper ID: V5I2-1146

Paper Status: published

Published: March 4, 2019

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Research Paper

Fingerprint detection using enhanced minutiae singular point matching technique

Fingerprint matching is the procedure used to decide if two arrangements of unique finger impression edge detail originate from a similar finger. There exist numerous calculations that do unique mark coordinating from multiple points of view. A few techniques include coordinating details focuses between the two pictures, while others search for likenesses in the greater structure of the unique finger impression. In this proposed work, we propose a method for fingerprint matching based on singular point minutiae matching technique. The term "minutia" is used to refer to small ridge details found in fingerprints; most often, they are termed as main points described on ridge structures. Minutiae pi and qi are considered to coordinate if their traits are inside a certain Limit.

Published by: Rozi Kumari, Puneet Jain

Author: Rozi Kumari

Paper ID: V5I2-1137

Paper Status: published

Published: March 4, 2019

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Research Paper

Development of ponnanganni green soup powder

People are passing hectic life due to urbanization. They do not have enough time to cook foods and are becoming habituated to consume fast foods and something like that. Ponnanganni leaves are cultivated in India especially Tamil Nadu people used commonly. Objectives are To prepare the green soup powder, To Analysis of the nutrient content and microbial content of green soup powder, To standardize the acceptability of the soups, To cost analysis and Popularize of green soup powder. Alternanthera sessils washed the thoroughly and kept it for drying in room temperature for 8 days. Greens Powder has roasted it for 20 minutes grinds to a fine powder. Green gram dhal was roasted it for 15 minutes grinds to a fine powder, pepper was roasted it 5 minutes grind to fine powder, cumin was roasted it 5 minutes grind to fine powder. Corn flour was taken, Parboiled rice flour was taken. It acts as a thickening agent and it is a shining agent.salt was taken. It gives the taste of the product. ponnankanni keerai soup powder nutritive value was moisture 6.10, calories152.35 Kcal, protein 10.37gm, fat 1.78g, vitamin A 1057.75mcg, vitamin C 60.35 gm, calcium 351.25, iron 11.45gm, fibre2gm were evaluated of 100 gm green soup powder. The microbial count was analyzed 2.2×103 cfu/g of the sample in the total viable count. Total coliforms <0.3bassessed up to 90 days. The product was popularized in Thoothukudi self-help group women and school students.

Published by: Karolin A.

Author: Karolin A.

Paper ID: V5I1-1432

Paper Status: published

Published: March 4, 2019

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Research Paper

Autonomous smart car-EQ fortwo

With vehicle technology becoming more and more advanced, it’s only a matter of time before sharing the roads with self-drivers. This paper describes you about the smart vision EQ fortwo will be able to make the most out of the limited amount of space. Our system will be minimizing human interaction with cars; with the use of the mobile device, the passengers will be able to summon the smart EQ fortwo to pick them up at any location.

Published by: Harshitha Rajkumar Shetty

Author: Harshitha Rajkumar Shetty

Paper ID: V5I1-1446

Paper Status: published

Published: March 4, 2019

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