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Recent Papers

Streaming Analytics

Nowadays Sentiment Analysis play an important Role in each field such as Stock market, product reviews, news article, political debates which help us to determining current trend in the market regarding specific product, event, issues. Here we are apply sentiment analysis on micro-blogging platforms such as twitter, Facebook which is used by different people to express their opinion with respect to different kind of foods in the field of home’s chef. This paper explain different methods of text pre-processing and applies them with a naive Bayes classifier in a big data, distributed computing platform with the goal of creating a scalable sentiment analysis solution that can classify text into positive or negative categories. We apply negation handling, word n-grams, stemming, and feature selection to evaluate how different combinations of these pre-processing methods affect performance and efficiency.

Published by: Aditya Shirke, Ankur Singh, Umesh Sapar, Aditya Sengupta, Prof. Leena Deshpande

Author: Aditya Shirke

Paper ID: V2I1-1136

Paper Status: published

Published: February 16, 2016

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Interleaved Technique based Buck-boost DC-DC Converter using MATLAB/Simulink

Renewable energy, plays a key role in modern society and therefore in research. This paper presents MATLAB simulation of interleaved technique based dc-dc buck-boost converter. Four switch converter, buck converter and boost converters are arranged in interleaved pattern with a damping circuit in between them. Input and output ripples of voltage and current of the converter is very low. The given system has very high efficiency with various applications.

Published by: Atul Fartiyal

Author: Atul Fartiyal

Paper ID: V1I5-1142

Paper Status: published

Published: January 27, 2016

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A Review on Multiobjective Optimization of Process Parameter of Abrasive Water Jet Machining for Lower Surface Roughness & Higher Removal Rate of Glass Fiber Reinforced Polymer

Glass fiber reinforced polymer (GFRP) composites are increasingly being used in a large number of applications in product manufacturing because of the superior advantages they offer compared to other traditional and nontraditional materials such as high strength to weight ratio, high modulus, high fracture toughness, and corrosion and thermal resistance, low cost of production, light weight, inherent strength, weather-resistant finish and variety of surface textures. However conventional machining of Glass fiber reinforced polymer (GFRP) is not so economical and ease, on the other hand non-conventional processes like laser cutting, abrasive water jet machining (AWJM), and electric discharge machining (EDM) etc., have a very good potential in overcoming these machining difficulties. Among these AWJM is commonly employed for very hard and brittle materials due to its Economical and Technical significance.

Published by: Jay Patani, Avakash Patel, Amit Patel

Author: Jay Patani

Paper ID: V1I5-1140

Paper Status: published

Published: December 23, 2015

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Tourist Place Recommendation System

Android Phone has power to access or fetch data from remote location and provide various facilities to the user. Hence android applications have more and more demand because of its user friendly nature and its power of computation. Many tourist are having problem to search proper tourist places due to communication overhead or less facility of tourist guide. It is impractical to search each and every tourist place at every location. So in order to provide feasible as well as user friendly solution for this problem we develop an android application which will automatically recognize famous and nearby places and send notification to android phone. This application also provides weather recommendation feature which notifies the tourist about weather conditions of the destination before visiting it. All places are properly categorized and also with review or rating. The application also provides facility of vehicle mark to reach your vehicle after site visit. We are using Triangulation method with LBS as well as GPS to track the location of user. And as per his location, relevant list of tourist places will be send in the form of pop up notification.

Published by: Yashwant Bhaidkar, Pranav Bhagwat, Priyanka Bhalere, Radhika Gujar, Sachin Walunj

Author: Yashwant Bhaidkar

Paper ID: V1I5-1136

Paper Status: published

Published: December 14, 2015

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Literature Review on Implementation of Lean Manufacturing Techniques

In competitive environment lean manufacturing is necessary in every industry. Lean production is a standard manufacturing mode of the 21st century. Lean manufacturing have various synonyms like lean management, lean production, It is very use full techniques for reduce the flow of non value added time. Lean manufacturing is a philosophy to reduce the time between customer order and products are ready for the delivery by eliminating waste. Waste (muda) is a serious problem in to the industry it is creates a non value added services and poor quality of the product. Waste are seven type occurs in industry 1) transport,2) inventory,3)motion,4) waiting,5) over production,6) over processing,7) defect. It is eliminate with the help of lean manufacturing. It is an integrated system that gives production of goods/services with minimum buffering costs. This paper gives the literature survey on various type of industry to apply the lean manufacturing, like apply in to automobile industry, and pharmaceutical company, cotton seed oil industry, health care hospital. And also refers other 5 papers gives the information about lean manufacturing and discussion. And introducing about lean .what is lean manufacturing, why it is needed, and method of lean manufacturing that reduces waste. And also to introduces about different lean tools.

Published by: Mehul Mayatra, Mr. N.D. Chauhan, Mr. Parthiv Trivedi

Author: Mehul Mayatra

Paper ID: V1I4-1137

Paper Status: published

Published: November 22, 2015

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Extended Centroid based Clustering Technique for Online Shopping Fraud Detection

With the enhancement in technology on-line banking like credit Card and Debit Card, Mobile Banking and most useful Internet Banking is the popular medium to transfer the money from one account to another is call customer to business. online Banking is gaining popularity day by day is very usefully for everyone, which increases the online transaction with the increase in online shopping, other charges, so the fraud cases related to this are also increasing and it puts a great burden on the economy, affecting both customers and company. It not only costs money, but also a great amount of time to restore the harm is all so done. The purpose is to prevent the customer from online transaction by using specific technique i.e. based on Data Mining. Customer Spending Behavior of product parching and payment transfer. The customer than spending behavior about the product that can be identified by searching approach by using K-Mean or k-Medoid clustering algorithm. If risk score is greater 0.75 then transaction is taken as to be fraudulent and then the security mechanism authenticates the user by entering the random number generate digit on the screen and the genuine user enters the code in a correct manner.

Published by: Priya J Rana, Mr. Jwalant Baria

Author: Priya J Rana

Paper ID: V1I4-1136

Paper Status: published

Published: November 15, 2015

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