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Research Paper

Effective width of cold-formed C-section by IS:801 and comparing it with AISI:2007

Buildings built with cold formed sections as primary members (frames) and secondary members (purlins) offers viable alternative solutions for wide range applications of social sectors like housing, education etc. Design of cold formed sections has obvious complexity in view of buckling of sections and stress in the compression element, especially in flexure. In this study, using IS: 801 equations, effective section properties of C section are calculated for a wide range of configurations with different b/t ratios for flange subjected to maximum allowable stress. The study also includes simple design tools and few standard colds formed sections having a similar configuration but for thickness to be used for residential or community shelters for different wind zones. A resource is made to compare the results with similar studies using AISI code.

Published by: Pratik Thakre, Pallavi P. Gawande, Ankur H. Akre, Sneha J. Rodke, Sachin D. Dadhey, Kushalkumar Yadav

Author: Pratik Thakre

Paper ID: V5I2-1380

Paper Status: published

Published: March 20, 2019

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Review Paper

Text mining methods and techniques- A survey

Text Mining is an area where the goal is to discover and extract information such as relations and patterns that are hidden in the Text. The main objective of this paper is to get a deeper knowledge of the text mining techniques and text classification methods used in text mining. This paper describes different methods and algorithms used in text mining like text preprocessing, vector-space model Information- Retrieval and TF-IDF

Published by: Shitanshu Jain, Dr. S. C. Jain, Dr. Santosh Kumar Vishwakarma

Author: Shitanshu Jain

Paper ID: V5I2-1281

Paper Status: published

Published: March 20, 2019

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Research Paper

Finding rising stars in co-author networks

Finding rising stars is a challenging and interesting task which is being investigated recently in many organizations and Academic networks. This paper addresses the problem of finding rising stars in Co-author networks. Predicting future rising stars is to find talented researchers in Co-author Networks. An effort for finding rising stars named PubRank is proposed, which considers the mutual influence and static ranking of conferences or journals. In this work, modification of PubRank is proposed by considering attributes like mutual influence based on authors’ contribution, co-authors’ citations, the order of appearance and publication venues. This method can be effectively used for mining the Co-author networks to search for rising stars in the research communities and organizations.

Published by: Akil Reddy Gopavarapu, K. S. D. Sai Sowmya, B. Shanmuk Abhishek, P. Vinod Babu

Author: Akil Reddy Gopavarapu

Paper ID: V5I2-1360

Paper Status: published

Published: March 20, 2019

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Research Paper

Artistic style transfer using deep learning

In this paper, we are implementing the style transfer using convolutional neural networks. The style transfer means to extract the style and texture of a style image and applying it to the extracted content of another image. Our work is based on the work proposed by LA Gatys. We use a pre-trained model, VGG 16 for our work. This work includes the content reconstruction and style reconstruction from the content image and style image respectively. Now the style and content are merged in a manner that the features of content and style are retained.

Published by: P. Mounica, A. Nagaratnam, Mohammad Farzana, K. Muralidhar

Author: P. Mounica

Paper ID: V5I2-1390

Paper Status: published

Published: March 20, 2019

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Research Paper

SentiPhraseNet: An extended SentiWordNet approach for Telugu sentiment analysis

Sentimental Analysis in English language is a relatively easier task to perform as it has a predefined set of rules followed and accepted universally. But, when it comes to Indian languages, there isn’t a benchmark dataset. Moreover, if a data set exists, it cannot be validated as a similar sentence may differ in the meaning as the regional languages are very unpredictable and have no proper rules. In this paper, we used a Rule-Based Approach to build SentiPhraseNet. Here, we obtained the sentiment using SentiPhraseNet and validated the results using ACTSA which is an annotated corpus data set.

Published by: Abhinav Garapati, Naveen Bora, Hanisha Balla, Mohan Sai

Author: Abhinav Garapati

Paper ID: V5I2-1301

Paper Status: published

Published: March 20, 2019

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Others

Scan and drive: An Android-based application

Recently we have noticed that there is huge congestion that is escalating at the toll plaza on the expressways and highways. These toll plaza mostly uses the traditional way of issuing toll ticket which causes heavy traffic of vehicles on the road. In the traditional way of issuing ticket manual ways are used because of which a lot of time is wasted of the travelers. To avoid such problems we are developing the android application which will make easier for the travelers to get the toll ticket without wasting any time. This application which will display the toll price of the different toll plaza and if you are visiting through that toll plaza you just need to make a payment online. After your payment, a QR code will be given to you and while visiting at toll plaza you just need to scan the QR code. QR code generated will be unique for each transaction made by the traveler.

Published by: Rahul Sirisilla, Akshay Loke, Neel Dave, Aditya Shetye

Author: Rahul Sirisilla

Paper ID: V5I2-1272

Paper Status: published

Published: March 20, 2019

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