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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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Review Paper

Design and estimation RCC overhead water tank

Storage reservoirs and overhead tank are used to store water, liquid petroleum, petroleum products and similar liquids. The structure analysis of the reservoirs or tanks is about the same irrespective of the chemical nature of the product. All tanks are designed as crack free structures to eliminate any leakage This project gives in brief, the theory behind the design of liquid retaining structure (Elevated circular water tank with a domed roof and conical base) using working stress method. Elements are designed in limit state method. Liquid tanks and especially the elevated tanks are structures of high importance which are considered as the main lifeline elements that should be capable of keeping the expected performance. An earlier design of water tanks being done using the working stress method given in IS 3370: 1965. This method leads to thicker and heavily reinforced section. The use of limit state method of design has been adopted in received code IS 3370:2009 and provision for checking the crack width is also included in this code.

Published by: Ravi, A. Parameshwar, D. Vijay kumar, R. Narender Reddy, M. Rajesh

Author: Ravi

Paper ID: V4I2-1820

Paper Status: published

Published: April 12, 2018

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Research Paper

Securing coding-based cloud storage against pollution attacks

At present Cloud Computing has become a popular computing paradigm. Though Cloud Computing architectures lack support for computer forensic investigations. Inspecting various logs such as process logs, network logs etc plays an important role in computer forensics. Pollution Attack, whereby is an arrangement of noxious substances endeavor to degenerate put away information, are one of the many dangers that influence cloud information security. Pollution attack occurs when along with the data packets, malicious packets are injected into the network. In this paper we manage pollution attack in coding-based square level distributed storage frameworks, i.e. frameworks that utilize straight codes to part, encode, and scatter virtual circle areas over an arrangement of capacity hubs to accomplish wanted levels of repetition and to enhance unwavering quality and accessibility without giving up on execution. Shockingly, the impacts of a pollution attack on straight coding can be unfortunate, since a solitary dirtied piece can proliferate unavoidably in the interpreting stage, along these lines hampering the entire division. The alarm triggers a procedure that locates the polluting nodes using the proposed detection mechanism along with statistical inference. The packets which fail the verification are detected and discarded by considering they are malicious packets or polluted packets in the network. Therefore the pollution in the network is removed before the packets reach the destination. Hence the pollution attack is reduced and this, in turn, will increase the throughput and performance of the data transmitted across the coding based network in cloud storage.

Published by: Parihar Vimladevi Mishrilal, Rohini Dattatrey Patil, Supriya Shrikant Shete, Bhargavi Rai, Babita Bhagat

Author: Parihar Vimladevi Mishrilal

Paper ID: V4I2-1821

Paper Status: published

Published: April 12, 2018

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