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Review Paper

Live Video Colour Recognition and Object Tracking using MATLAB

In this paper, we discuss the use of live video streaming to detect RGB colors and in the process, try to track the movements of different objects in a stationary background. This color dependent tracking is achieved through MATLAB’S image processing toolbox. A live video is segmented and each video frame is used to detect red, blue or green color and keep track of the object in subsequent frames using the average shift observed in the frames. The applications of this system include robotics, color related segregation or detection, analysis and surveillance tech. devices, and security systems.

Published by: Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal

Author: Pranay Singla

Paper ID: V4I1-1400

Paper Status: published

Published: February 23, 2018

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Review Paper

A Review of Various Ethanol Supplementation Techniques in Compression Ignition Operations on the Aspects of Performance, Combustion and Emission Characteristics

With the aggravating trends of Globalisation across the global circuit, it has certainly lead to the development of a vital sector more significantly – Transportation. To cater forth the growing demands of the growing population. With the growing demands, Sector had to opt for efficient and durable characteristics instilled with longevity which led to a complete reliance on the transportation industry onto the DIESEL Engines for Public & Commercial Transportation.

Published by: Ishan Sharma, Karan Arora, Satyam Dixit

Author: Ishan Sharma

Paper ID: V4I1-1398

Paper Status: published

Published: February 23, 2018

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Research Paper

Anomaly Detection Using Machine Learning

In this day and age of a plethora of information, the importance of information security cannot be emphasized enough. Any threat to confidentiality, integrity or availability of information must be taken seriously. Ignoring such threats can have serious consequences, like misappropriation, modification or encryption of data. Vulnerabilities in information security are a tempting target for malware. Malware are malicious scripts or software, including computer viruses, worms, Trojan-horses, ransomware, spyware, adware, etc. The traditional way of detecting an advanced malware or threat compromise uses a signature-based antivirus. This approach, however, is not foolproof and can be bypassed. The signature-based approach relies on a known list of signatures. The list of signatures is not perfect and also does not contain previously unseen malware signatures. The proposed system uses operational intelligence tools and machine learning to monitor usual user behavior. This is done by collecting system activities like event logs, sysinternal, etc. Once the system learns normal behavior patterns, it can detect anomalies that may be caused by malware. Thus, unlike signature-based approach, the proposed system can detect previously unseen malware as well.

Published by: Yash Shahani, Vedant Yadav, Aditya Subramanian, Karan Chhabria, Vidya Zope

Author: Yash Shahani

Paper ID: V4I1-1392

Paper Status: published

Published: February 23, 2018

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Review Paper

Conversion of Demolished Construction Waste into Recycled Aggregates

Urbanization and industrialization go hand in hand affecting the change in lifestyle of an individual. Demolition of old and non-economical structures and construction of new is the basic cycle humans are following.  This is affecting the environment at an adverse rate due to wastage of recyclable materials and production of new raw materials. The construction industry is one of the key producers of non-recyclable waste so it is our duty to find ways and methods to use the demolished waste from the construction industry and convert it into a usable form. Demolished concrete is one of the key ingredients of this waste industry but with some mechanical procedures and alterations, this can be converted into a usable form sufficient to be used in the construction process. This paper provides an overview of the mechanical process used for converting the demolished concrete into usable concrete and admixtures used for making this concrete more efficient.

Published by: Akash M Shukla, Ankit Pedawal, Gaurav Pandey, Sooraj Regunta

Author: Akash M Shukla

Paper ID: V4I1-1371

Paper Status: published

Published: February 21, 2018

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Survey Report

Survey on Location Tracker for Fishermen using GPS

There are many risks that can occur for fishermen as sea border and location cannot be easily identifiable. To ensure the safety of the fishermen, the location should be tracked. It is also better when the border crossing intimation is also given to the fisherman and coastal guards for tracking even if any problem happens to fishermen the data sent to coastal guards can take the necessary actions can taken. The better indication is when the boat nearer to the restricted zone the location information should be sent to fishermen. The system should contain the better accuracy in determination of location, easily replaceable and the maintenance cost should be low.

Published by: Spoorthi T Shetty, Swetha M, Vishnupriya S, Niranjana A

Author: Spoorthi T Shetty

Paper ID: V4I1-1384

Paper Status: published

Published: February 21, 2018

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Research Paper

Design and Validation of a Mass Tuned Dynamic Vibration Absorber

This paper presents the effectiveness of a new cantilever dynamic vibration absorber in reducing the vibrations of a primary system at resonance. The designed absorber is tested for cantilever and simply supported conditions of the beam with motor/rotor assembly to create harmonic excitations. The setup is tested numerically using modal and harmonic response analyses of ANSYS and further validated by building a prototype and conducting experiments using vibration analyzer. The proposed system was found to considerably reduce the vibrations in the primary system when the vibration absorber was tuned to the operating frequency.

Published by: Vaibhav Jairam Ghodge, A. P. Bhattu, S. B. Patil

Author: Vaibhav Jairam Ghodge

Paper ID: V4I1-1403

Paper Status: published

Published: February 21, 2018

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