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Research Paper

Structural analysis of novel micro wind turbine

The objective of this investigation is to search out the novel geometry of blade and performance is examined by using the structural analysis. During this paper, an effort is to check the point and Uniformly Distributed Load (UDL) apply on the trapezoidal and micro shape blade model of a micro wind turbine blade at various segments such as at the tip and overall length of the blade. This study is to find a better indulgent of structural behavior in the blades for the different swept area. On the basis of these results, the prototype will be created for experimental testing and more power achievement.

Published by: Pramod B. Magade, Dr. Chavan S. P.

Author: Pramod B. Magade

Paper ID: V5I3-1743

Paper Status: published

Published: June 7, 2019

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Others

Dampers as seismic energy dissipator and principles for EQ resistant building

Earthquake is one of the major disasters since they cause damage to human life in various ways. Mostly, the world population lives within the range of 50miles away from the ocean. So, these earthquakes can cause destruction to human life and also to property. The process of releasing of the huge amount of energy during an earthquake is done by DAMPERS, these are Energy Dissipating Devices. This paper briefly explains the definition and types of dampers, principles for EQ resistant building.

Published by: J. Saileela, D. Ganesh Chandra

Author: J. Saileela

Paper ID: V5I3-1770

Paper Status: published

Published: June 7, 2019

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Research Paper

Socio-economic empowerment of women through SHGs in Himachal Pradesh: A review of studies

Ever since independence, a number of innovative programs have been launched by the policymakers and practitioners for the upliftment of the deprived section. A huge amount of social and financial investment has been made to achieve the objective of employment generation and poverty eradication. But, the result seems to be far from satisfaction. Micro-finance through Self-help Groups (SHGs) has been considered as one of the most effective tools in the fight against poverty and improving the socio-economic status of rural poor especially the women. It has been accepted as a development instrument for the entire development process of a nation. Micro-finance and SHGs are effective in reducing poverty, empowering women, creating awareness and thereby ensuring the overall development of the nation.

Published by: Ajay Kumar

Author: Ajay Kumar

Paper ID: V5I3-1673

Paper Status: published

Published: June 7, 2019

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Review Paper

Narcolyser

As the use of drugs is becoming a controversial issue today in the society, we discussed it as a group, to explore this issue further as we possess a high interest in how drugs cause an effect on the civil group. The proposed design ‘Narcolyzer’ is a device which is used to detect the presence of narcotic drugs through saliva/breath. If drug usage is detected, its confirmation is done by a blood test which is similar to a blood glucose test. The main objective of the design is to make it easier for the police to detect the drugs by making the process of taking samples easier and obtaining results faster, without causing much inconvenience and time delay to the passengers. The device is based on sensor technology and is easy to handle & maintain and able to provide accurate results.

Published by: Uthara Renjith, Anupama K. N., Athul A. S., Chandichan Alex

Author: Uthara Renjith

Paper ID: V5I3-1801

Paper Status: withdrawn

Submitted: June 7, 2019

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Research Paper

Detection of suspicious URLs using machine learning

The increasing volume of malicious content in social networks requires automating methods to detect and eliminate malicious content the URLs. This shows a supervised machine learning classification model that has been built to detect malicious content in online social networks. Multisource features are used to detect social network posts that contain malicious Uniform Resource Locators (URL's). These URLs could direct users to websites that contain malicious content, drive-by download attacks, phishing, spam, and scams and some other problems. For, the data collected from such URL's, the Twitter streaming application programming interface (API) was used.

Published by: Ashwini Mahajan, Darshana Patil, Ritesh Bhojwani, Lalit Mahajan, Niranjan Dhake

Author: Ashwini Mahajan

Paper ID: V5I3-1804

Paper Status: published

Published: June 7, 2019

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Survey Report

Usage of incremental approach in the formulation of collective behavior: A survey

The work of collective behavior is to understand and how actors behave in a social networking environment. A large population is involved in social media like Facebook, Twitter, Flicker, and YouTube that provide opportunities and challenges to study collective behavior on a large scale. In this paper, we aim to learn to predict collective behavior in social media. Consider for given information about some actors, how can we infer the behavior of unobserved actors in the same network? However, Connections in social media is not homogeneous. A social-dimension based approach which represents the relations associated capture prominent interaction among different actors to show effective in addressing the heterogeneity of connections included in social media. The social media has are normally of large size, involving hundreds of thousands of actors. The scale of these networks entails scalable learning of models for collective behavior prediction. We propose an edge-centric clustering scheme to extract sparse social dimensions. With sparse social dimensions, the proposed approach can efficiently handle millions of actors while describing a comparable prediction performance to other non-scalable methods.

Published by: Vijay Kumar S.

Author: Vijay Kumar S.

Paper ID: V5I3-1784

Paper Status: published

Published: June 7, 2019

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