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Research Paper

Alternative of retrofitting for ground soft story formation using concrete web stiffeners

Many of the high-rise structures are designed today to have an open base story for multiple reasons like parking, recreational area etc. Since infills are absent at this location the relative stiffness of the story decreases as compared to the above stories, due to which soft story formation may occur. For this purpose, to demonstrate rectification of soft-story formation a G+10 infilled framed structure is considered and 10 models are created, 9 models having different aspect ratios of web stiffener and 1 model without web stiffener. The stiffness of ground story (plinth level), inter-story drift and displacements are calculated and compared for all the 10 stories.

Published by: Tanvesh Dabholkar

Author: Tanvesh Dabholkar

Paper ID: V4I3-1741

Paper Status: published

Published: June 5, 2018

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Thesis

Effect of IPV6 security vulnerabilities on the future of autonomous car

An autonomous car may be a mystery to many but in real life application it is actually placeable but with the latest internet version protocol (IPV 6) to which automobile companies are running away from due to vulnerabilities it possesses. The autonomous car is generally a self-driven car via the internet a simple car we can talk to, communicate to in real life time domain, without the need for an individual to be in the actual wheel, on the other hand, IPv6 is the latest version of internet protocol that is used for communication via the internet. but due to security concern of IPv6 many organization have slowed their migration to the newest version of this internet protocol. Generally, the autonomous car is driven via the internet and it could have worked best with the help of a well secure internet since IPv6 can accommodate a greater number of host compare to IPv4. This paper covers and reviews some of the fundamental vulnerabilities topics of IPv6 security, considerations, issues, and threats. In the end, it summarizes some of the most common security concerns the new suite of protocols creates.

Published by: Mustapha Mboob, Ousman Manjang

Author: Mustapha Mboob

Paper ID: V4I3-1734

Paper Status: published

Published: June 5, 2018

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Research Paper

IoT based home security through image processing algorithms

Most doors are controlled by persons with the use of keys, security cards, password or pattern to open the door. The aim of this paper is to help users for improvement of the door security of sensitive locations by using face detection and recognition. The face is a complex multidimensional structure and needs good computing techniques for detection and recognition. This paper is comprised mainly of three subsystems: namely face detection, face recognition and automatic door access control. Face detection is the process of detecting the region of the face in an image. Viola jones method is used for face detection in ‘opencv’ technique and face recognition is employed by using the RANSAC (RANdom SAmple Consensus). Face Recognition based on RANSAC. If a face is recognized i.e., present in the database, it is known, and else is unknown. The door automatically opens for the known person by matching with known database image. On another side, for an unknown person, the image will be sent through Google Cloud Messaging to the owner’s Android app and based on owner command the door will be open or closed. Although many preliminary images are used, probabilistic efficiency cannot be decreased predominantly. Therefore, face recognition using OpenCV using Android can be more useful for door security system than any other face recognition techniques.

Published by: Supritha J Mannapur, Sanjay Raj, Sharath Kumar, Kiran B

Author: Supritha J Mannapur

Paper ID: V4I3-1746

Paper Status: published

Published: June 5, 2018

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Thesis

Unity power factor correction based on ripple cancellation with predictive controller and fuzzy controller

This thesis proposes a control of single-phase power factor correction. This control is capable of obtaining a unity power factor. In this paper, first, a ripple estimation circuit is used to eliminate the double line frequency component of the sampled output voltage. Then the result of ripple estimation is controlled by the predictive controller and fuzzy logic controller. Here boost converter is used as PFC converter. The duty cycle is calculated based on reference current, inductor current, input voltage and reference output voltage. By the use of this proposed control technique, reduce THD in the input current with the output voltage(vo) regulation. This strategy achieves a fast dynamic response and near unity PF.

Published by: Athira Babu, Muhammedali Shafeeque. K

Author: Athira Babu

Paper ID: V4I3-1682

Paper Status: published

Published: June 5, 2018

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Research Paper

Implementing a security policy for M-learning exam management system

M-learning has improved the e-learning by influencing the figuring out how to process student focused. In any case, upholding exam security in open situations where every understudy has his/her own particular portable/tablet gadget associated with a Wi-Fi arrange through which it is additionally associated with the Internet can be a standout amongst the most difficult errands. In such conditions, understudies can without much of a stretch trade data over the system amid exam time. This paper plans to distinguish different vulnerabilities that may abuse exam security in m-learning conditions and to outline the fitting security administrations and countermeasures that can be set up to guarantee exam security. It additionally expects to coordinate the subsequent secure exam framework with a current, open-source, and broadly acknowledged Learning Management System (LMS) and its administration expansion to the m-learning condition, to be specific "the Mood bile Project".

Published by: Shaik Ashrafunnisa, V Muthu Priya

Author: Shaik Ashrafunnisa

Paper ID: V4I3-1745

Paper Status: published

Published: June 4, 2018

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Research Paper

FTPal: Natural language interface assistant for PC file and task management

FTPal is a natural language interface PC application that can be used to do certain file and task management related computer operations efficiently and conveniently. It is possible to perform these operations by using scripting languages such as Windows PowerShell, but it is a somewhat difficult task for ordinary computer users if it is possible to perform these computer operations by using simple English language commands it would solve most of these issues. Therefore, FTPal was developed using natural language techniques to address these issues and reduce the effort needed to write certain shell scripts. After commanding the FTPal application in simple English, FTPal is able to interpret and execute all the requested commands. The FTPal application is useful for businesses organizations to manage files and tasks efficiently which may lead to increase of revenue by reducing the time needed to do certain file management related tasks. As well as it is useful for people with less technical knowledge to perform file management tasks. It is possible to use this same concept to reduce the effort needed for other programming languages as well. The ultimate goal of this application is to provide an easy environment to perform file and task management related tasks efficiently and conveniently without using any programming languages.

Published by: T.R. Chamara Denipitiya, E.A.I Udayakantha

Author: T.R. Chamara Denipitiya

Paper ID: V4I3-1720

Paper Status: published

Published: June 4, 2018

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