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Review Paper

CarTubes – The sustainable transportation or a hypothetical idea

The use of latest technologies to curb the menace of traffic congestion and environmental problems like pollution, increase in GHG emissions etc., is in practice in such a way that the outcome results in sustainable transportation. One such idea is CarTube. This review paper is about how CarTube can help in the decrease of traffic problems and make long distance travels speedy and less costly. This article also puts light on the facts that why this particular concept is said to be hypothetical and mythical by some experts. This paper will help budding engineers and transportation planners to get familiar with the concept of how successful or unsuccessful the CarTubes would be, with all the reasons.

Published by: Samroot Samreen Wani

Author: Samroot Samreen Wani

Paper ID: V4I3-2040

Paper Status: published

Published: June 30, 2018

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Research Paper

Low-cost E-nose: To identify and study the ripeness of fruit

This paper explains the E-nose to monitoring fruit ripeness & to identify fruits with the implementation of Artificial Neural Network based Micro-controller. We are using or array of sensors (both gas & color) to monitor the ripeness. Though, at first, it gives the result of low accuracy, after repeated training it becomes intelligent. The system’s outpost can be given in lab view for the more versatile outcome. This project can be used in both supermarkets or by vendors or for domestic purposes for both the use of identification of the fruit & as visual appearance does not always give proper result.

Published by: Mridushmita Borborah, Pranab Jyoti Haloi, Pranjal Jyoti Hazarika

Author: Mridushmita Borborah

Paper ID: V4I3-2039

Paper Status: published

Published: June 30, 2018

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Review Paper

Urban Hyperloop: A visionary idea

With the rapid urbanization and growth in population, transportation system, not only in megacities but all over the world is like a mess. Everywhere one can see pollution in all forms, smoke, harmful GHG emissions which not only affects the environment but also the health of all living beings. This is a high time people realize what is right and start working on saving the environment from a slow death. This is when people should consider not only sustainable transportation but also the sustainable way of living as a whole. In this review article, the importance of sustainable transportation has been mentioned along with the introduction of urban hyperloop, technologies used to make it effective, its pros and cons so as to why or why not to go for Hyperloop as a transportation medium. This review article will help all the engineers who want to familiarize themselves with this new technology "Urban Hyperloop'.

Published by: Samroot Samreen Wani

Author: Samroot Samreen Wani

Paper ID: V4I3-2020

Paper Status: published

Published: June 30, 2018

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Research Paper

Decentralized applications and interplanetary filesystem

A new model for building enormously adaptable and gainful applications is developing. Bitcoin prepared with its cryptographically put away record, rare resource model, and distributed innovation. These highlights give a beginning stage to building another sort of programming called decentralized applications, or dapps. Dapps are quite recently picking up media scope yet will sometime turn out to be more broadly utilized than the world's most mainstream web applications. They are more adaptable, straightforward, dispersed, flexible, and have a superior boosted structure than current programming models.

Published by: Krunal Kshirsagar, Melwyn Castelino

Author: Krunal Kshirsagar

Paper ID: V4I3-2023

Paper Status: published

Published: June 30, 2018

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Research Paper

Design, analysis and optimization of three aluminum piston alloys using FEA

The presented paper uses the Finite Element Method (FEM) to analyze the thermal stress and distribution of three different aluminum alloys. The simulations are carried out by evaluating the parameters like gas pressure, temperature and material properties of the Piston. The four-stroke engine of Bajaj Pulsar 220CC is used to study the analysis procedure for aluminum alloy piston. The resulting analysis will give the prediction of critical region and maximum stress. It is important to locate the critical area of concentrated stress for appropriate modifications. Static and thermal stress analysis is performed by using ANSYS 14.1. The analysis result will help to choose the best aluminum alloy material. The analysis results are used to optimize piston geometry of best aluminum alloy.

Published by: Sangale Purushottam Gangadhar, Shinde Vilas Baburao

Author: Sangale Purushottam Gangadhar

Paper ID: V4I3-2033

Paper Status: published

Published: June 30, 2018

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Research Paper

Analysis of multi-layered perceptron, radial basis function and convolutional neural networks in recognizing handwritten digits

Identification of handwritten digits is one of the major areas of research in the field of character recognition. Artificial Neural Networks helps in computer vision that deals with how a computer could achieve high-level of understanding from digital images or videos. Thus, neural networks prove to be a boon in recognizing handwritten digits that are scanned as images. However, this paper aims at studying the working of specifically three neural networks - Multi-Layered Perceptron (MLP), Radial Basis Function (RBF) and Convolutional Neural Network (CNN). In order to focus majorly on the implementation of these three neural networks rather than the complexity of the dataset being used, we have used MNIST (Modified National Institute of Standard and Technology) dataset from keras library. MNIST dataset contains 70,000 black and white images of handwritten English digits (60,000 training images and 10,000 testing images). In our study of the above three mentioned neural networks, we have used relu as activation function in the hidden layers and softmax as activation function in the final layer of neural network, adam as an optimizer and cross-entropy as loss function. We have observed that all three networks give accuracy above 95%, however, the major difference is in its training time and error rate.

Published by: Karishma Dasgaonkar, Swati Chopade

Author: Karishma Dasgaonkar

Paper ID: V4I3-2038

Paper Status: published

Published: June 30, 2018

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