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Enhancing productivity and consumer value through implementation of lean manufacturing

Lean manufacturing is one of the leading manufacturing systems which are used in reducing non- value-added activities to improve productivity and customer value. Lean is a systematic loom for eliminating waste through continuous improvement. Leading organizations are following this sophisticated technique to realize the huge improvements in production, quality and consumer service. Although few were succeeded because of modern implementation techniques, excellent leadership and employee involvements. A strong association of using the lean tools is to achieve the desired level of result which focuses on continuous improvement in production process. Lean implementation was the basic concept following as Just-In-Time (JIT), total productive maintenance (TPM), cellular manufacturing, lean implementation is a long-term process in which complete contribution of management support and employee commitments are made to attain the objective of the organization. Even though, the lean approach is not the resolution for all manufacturing problem, it proposes an exclusively flexible solution for assembling more complicated products.

Published by: B. Maruthu, J. Dhileep Kumar, S. Manivannan

Author: B. Maruthu

Paper ID: V4I3-2001

Paper Status: published

Published: July 3, 2018

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Research Paper

Neural network conversational model for small dataset with sequence to sequence model

This Paper We Purpose Conversational Model For Specific Domain which Generates New Text for two-way conservation. Conversational Modeling is an Important Task in Machine Intelligence and Natural Language. In This Paper We Used a Recently Proposed Sequence To Sequence Model for predicting the next sentence and the previous sentence or sentences in a conversation. Conservational Model is able to extract knowledge from specific Domain and noisy DataSet. Main Dataset subtitles. Our Domain for a Conservational model is Movie Conversation Dataset. The Open-Domain Movies transcript are noisy. The expert model can perform Simple forms of common sense reasoning. Our Conversational model can be end-to-end trained and Required Changeable rules. We Expected Our Model Pass the lack of consistency in our model And Conversation Process have been successfully applied in sequence- to-sequence mapping task.

Published by: Mohd Nazeeb Khan, Anurag Yadav

Author: Mohd Nazeeb Khan

Paper ID: V4I3-2010

Paper Status: published

Published: July 3, 2018

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Research Paper

Exploration on network security with cryptography

The timeframe in history that Uses digital technology became prevalent and of common use in the world through the net applications and social networks, organizations across the world generate a large amount of data daily. So guaranteeing secured and safe transmission of data becomes important as society is moving towards digital information age. Information security is the most extreme basic issue in guaranteeing safe transmission of data through a web. As more and more users connect to the internet it attracts a lot of cyber-attacks. It’s required to protect the computer and network security which forms the critical issues. In this paper, we provide an overview of network security and various techniques through which Network security can. Be enhanced mainly using Cryptography.

Published by: D. Pari Ilamvazhuthi, Dr. Rajasekaran K.

Author: D. Pari Ilamvazhuthi

Paper ID: V4I4-1164

Paper Status: published

Published: July 3, 2018

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Research Paper

Improved random-forest image classification using generative adversarial network

Mankind has always hoped to do better. Ensemble learning[12] is one of the techniques that help drastically improve results of machine learning algorithms. But these classifiers need a lot of data in order to perform really well. But even in today’s data driven world, it is not that easy to get hold of that magnitude of data. This is where the concept of synthetic data[2] comes into play. Synthetic data is not real, but boasts many characteristics of real data, and the latter can sometimes become indistinguishable from the former. This data can be put to good use, such as training our ensemble classifiers, so that we can get even better results. That is what this paper aims to illustrate. I’m using random-forest ensemble classifier for classifying MNIST handwritten digits dataset, and the Generative Adversarial Network (GAN) for generating the said synthetic data.

Published by: Ashutosh Mahesh Pednekar

Author: Ashutosh Mahesh Pednekar

Paper ID: V4I4-1165

Paper Status: published

Published: July 3, 2018

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Research Paper

Study of E-banking services provided by urban co-operative banks and E-banking habits of customers in Thane district

This research aims to examine the various e-banking services provide by UBC and e-banking habits of UCB customers in Thane District. In India, the banking business is not far too much from global development in terms of its traditional funding and the conduct of banking operation, however, it becomes a kind of scientific banks that have always received international reputation and prizes. It has been identified that UCB with its e-banking is the largest bank with the greatest share of the market in the Thane District.

Published by: Sachin Dnyaneshwar Lokhande

Author: Sachin Dnyaneshwar Lokhande

Paper ID: V4I4-1151

Paper Status: published

Published: July 3, 2018

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Research Paper

Implementation of femtocell in cellular phones

In rural areas it makes difficult to provide proper coverage to every subscriber. Consequently loss of signal happens and signal strength decreases. This decreases the quality of voice and video communication and slows down high speed services. As a remedy femtocell came into the picture. In this paper, we have emphasized on the advantages of femtocell, its working principal and various technical and commercial aspects.

Published by: Ashishkumar Saiwal, Digvijay Mhasaye, Nishi Tiku

Author: Ashishkumar Saiwal

Paper ID: V4I4-1170

Paper Status: published

Published: July 3, 2018

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