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Research Paper

Predictive analysis of product search

The rapid increase in internet users along with growing power of online review sites and social media has given birth to Sentiment analysis or Opinion mining, which aims at determining what other people think and comment. Nowadays, several websites are available on which a variety of products are advertised and sold. Prior to making a purchase an online shopper typically browses through several similar products of different brands before reaching a final decision. This seemingly simple information retrieval task actually involves a lot of feature-wise comparisons and decision making, especially since all manufacturers advertise similar features and competitive prices for most products. The proposed system presents a semi-supervised approach for mining online user reviews to generate comparative feature-based statistical summaries that can guide a user in making an online purchase. In this system sentiment analysis of product reviews gives us not only positive and negative reviews but also gives neutral and constructive opinion where the system can suggest some improvement about the product also the result is represented in the graphical and tabular method. Our task is performed in three steps: (1) mining product features that have been commented on by customers; (2) identifying opinion sentences in each review and deciding whether each opinion sentence is positive or negative; (3) summarizing the results. This paper proposes several novel techniques to perform these tasks. Our experimental results using reviews of a number of products sold online to demonstrate the effectiveness of the techniques.

Published by: Rajendra Lasde, Gopika Tambare, Mayuri Tanpure, Pragati Naktode, Nilima Pardhake

Author: Rajendra Lasde

Paper ID: V4I2-1744

Paper Status: published

Published: April 12, 2018

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Research Paper

Determination and effective parameters for drying of Millets

One of the oldest methods used for preservation of fruits, vegetables, millets and other food products to increase their shelf life is drying. Cereals have a significant share in millet production both in the world and china. It acts a source of raw material for many food products. The important parameters of drying includes temperature, velocity and relative humidity. Drying and drying rate curves should be plotted to determine the drying kinetics of the products. Experiments are conducted in a tray dryer using different kinds of millets ( foxtail millet ,little millet, kodo millet )  for various drying temperatures ( 30- 60˚C)  and with different time intervals .The temperature and time are measured and recorded for every 15 minutes. The measured data is used to obtain drying and drying rate curves. The curves indicate that drying process takes place in the falling rate period   If drying is continued, the slope of the curve, the drying rate, becomes less steep (falling rate period) and gradually tends to nearly horizontal at very long times. The product moisture content will become constant at the "equilibrium moisture content", from the data collected during falling rate period and is calculated. Time and temperature are used as a parameters for the dried millet quality.  It is essential to follow up drying course and to decide whether it is obtained or not by drying processing method. Too long drying course may have bad effects for quality and food safety because of high fermentations and mould growth.  Also, drying to a too low moisture content can result in income losses.  

Published by: Venkata Naga Kaumudi Prabha Annavarapu

Author: Venkata Naga Kaumudi Prabha Annavarapu

Paper ID: V4I2-1782

Paper Status: published

Published: April 12, 2018

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Research Paper

Reducing headlight intensity to improve street visibility

Driving at night is dangerous. High headlight glares can make a driver temporarily blind thereby escalating the chances of fatal accidents. Many factors are considered when analyzing automobile transportation in order to increase safety. One of the most prominent factors for night-time travel is temporary blindness due to elevated headlight intensity. This is particularly prominent on single lane roads. Also, higher speed due to decreased traffic levels at night increases the severity of accidents. Proposed software module masks the high-intensity headlights, preventing temporary blindness that a driver may face and hence improves the view.

Published by: Amey Sathe, Prajakta Roshankhede, Priti Golar, Chetan Chitatwar

Author: Amey Sathe

Paper ID: V4I2-1789

Paper Status: published

Published: April 12, 2018

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Research Paper

An alternate method for generation and usage of P300 EEG signal using image processing

This paper presents a model for Developing a sustainable system for prolonged usage of Brain-computer interface for navigation and communication for the disabled, and the paralyzed with use of Electroencephalography (EEG) This model uses image recognition and classification of the video input from the camera for use in the P300 wave recognition.This model uses images instead of alphabets in oddball paradigm reducing the cognitive load on the brain and uses a different solution for the mental fatigue generated from the usage of the same visual stimulus over a long period of time

Published by: A. Vishnu Sai, N. Sathvik, A. Lakshmi Srinivas Jaidev, P. Ramani, N. Rupesh

Author: A. Vishnu Sai

Paper ID: V4I2-1808

Paper Status: published

Published: April 12, 2018

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Review Paper

Enhancement of E-commerce security using ETSFS algorithm: A Review

Security issues are an important topic in e-commerce. How to protect the security of an e-commerce system and data is its core research area. There are many sensitive financial data and asset data in e-commerce databases, such as transaction records, commercial transactions, user account and market scheme and so on. The data are very important to the parties involved in e-commerce, so we must assure their security completely. To beat these issues, various security strategies have developed to ensure the information in databases. For Example Enhanced Transposition, Substitution, Folding & Shifting (ETSFS). Each of them has its particular benefits and faults. ETSFS provides a high degree of privacy for customers by encrypting payment information. This paper provides a secure and efficient encryption method that encrypts only sensitive data without using special hardware and a mirroring technique to recover the lost data. The purpose of recovery technique is to help the user to retrieve information from any mirror server when server lost his data and unable to provide data to the user. This paper proposes an implementation of the ETSFS algorithm in E-commerce site to make the transaction secure and by using the mirroring technique to recover the data to provide high security to the E-commerce site.

Published by: Diksha Sudhir Nitnaware, Swapnil V. Khedkar

Author: Diksha Sudhir Nitnaware

Paper ID: V4I2-1814

Paper Status: published

Published: April 12, 2018

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Research Paper

Traffic sign detection and recognition for autonomous vehicles

Traffic sign recognition and detection is an important part of any autonomous vehicle. However the real challenge lies in the detection and recognition of these traffic sign from the natural image in real time and with accuracy. This paper gives an overview of the traffic road sign detection and recognition system, we developed and implemented using artificial neural network which are trained using real life datasets. This paper presents the usage of convolution neural network along with GTSRB dataset as an implementation of our project to attain real time result with accuracy. The system developed based on this methodology can be implemented in public transports, personal cars and other vehicles in order to keep drivers alert and reduce human errors that lead to accidents. The project has a wide implementation in self-driving vehicles.

Published by: Mohit Singh, Manish Kumar Pandey, Lakshya Malik

Author: Mohit Singh

Paper ID: V4I2-1815

Paper Status: published

Published: April 12, 2018

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