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A Survey of Fog Computing and its Applications

We live in a world where consumer products, goods, vehicles, industrial and utility components, sensors, and other everyday objects are being combined with Internet connectivity and powerful data analytic capabilities that promise to transform the way the world works, plays and lives. Through the Internet of Things (IoT), we are generating a humongous volume and variety of data. There is a need for a computing paradigm that allows us to perform computations on the data before it is sent to the cloud, where the opportunity to act on data might be lost. In this paper, we present one such technique called Edge computing, or Fog computing and describe some of its applications.

Published by: S. Sanjeev, Satyam Thusu

Author: S. Sanjeev

Paper ID: V3I2-1259

Paper Status: published

Published: March 20, 2017

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Classification of Copy Move Forgery and Normal Images By ORB Features And SVM Classifier

the fact that the need for detection of digital forgeries has been recognized by the research community, very few publications are currently available. Digital watermarks have been proposed as a means for fragile authentication, content authentication, detection of tampering, localization of changes, and recovery of original content. While digital watermarks can provide useful information about the image integrity and its processing history, the watermark must be present in the image before the tampering occurs. This limits their application to controlled environments that include military systems or surveillance cameras. Unless all digital acquisition devices are equipped with a watermarking chip, it will be unlikely that a forgery-in the-wild will be detectable using a watermark. In this paper use COMFOD dataset by SVM with ORB features

Published by: Er. Nisha, Er. Rajnish Kansal

Author: Er. Nisha

Paper ID: V3I2-1258

Paper Status: published

Published: March 20, 2017

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Personalized Document Retrieval Using Text Mining

The data produces in the last two years has outweighed all the data existing up until then. Therefore, there is a need to organize and classify this information so that its retrieval is ideally relevant and smooth. The project in hand employs text mining and machine learning techniques to offer a solution to the problem. The project enables a user to upload a document and search for the document. A graphical user Interface is developed to enable a user to upload and type his search query. The documents are stored in a database. Naïve Bayesian classification algorithm is used to classify the uploaded documents into respective categories. A novel algorithm is developed based on tf - idf and cosine similarity and used for searching the database and retrieving documents relevant to the user’s query by considering user’s personal interests.

Published by: Meda Sai Kheerthana, Sushmitha K. S, Geethika .R

Author: Meda Sai Kheerthana

Paper ID: V3I2-1257

Paper Status: published

Published: March 20, 2017

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Biosynthesis of Silver Nanoparticles Using Lactobacillus Acidophilus and White Rot Fungus- A Comparative Study

Future perspective of nanotechnology is to enhance the biological approach. In the present investigation biosynthesis of silver nanoparticles was evolved by bioreduction of silver by mixture (AgNO3+ filtrate). The confirmation of silver nanoparticle synthesis was characterized using SPR band shown in UV-Visible spectroscopy and FTIR analysis. SEM micrographs depict puff shaped structure ranging from 20-50nm in size. Antimicrobial activity of biosynthesized Ag nanoparticle showed inhibitory activity against strains. While comparing strains, effective anticancerous activity was found in white rot fungus. This, in turn, gives the insight to develop new formulations for the conventional method in pharmaceutical companies.

Published by: Kalaivani .K, Dr. Puniethaa Prabhu

Author: Kalaivani .K

Paper ID: V3I2-1256

Paper Status: published

Published: March 20, 2017

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Implementation of 3 Phase 4 Wire Energy Meter of Class 0.5 Accuracy

Electricity is one of the vital requirements for sustainment of comfort of life. It should be used very judiciously for its proper utilization. The main purpose of this project is to measure the energy with high accuracy for industrial applications. In industry, There are lots of control panels in which the energy meters are used to measure the amount of energy consumed. Today with several manufacturers in the market , There are lots of parameters has to be considered like accuracy, cost, the size of meter etc. while designing the product. In the market, many types of energy meters are available for industrial applications but the high accuracy meters are not available that’s why it is the necessity of the market to propose an energy meter with high accuracy.

Published by: Sanjay Dhumal, Vinodpuri R. Gosavi

Author: Sanjay Dhumal

Paper ID: V3I2-1253

Paper Status: published

Published: March 20, 2017

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Healthcare Prediction Analysis in Big Data using Random Forest Classifier

An infrastructure build in the big data platform is reliable to challenge the commercial and not- commercial IT development communities of data streams in high dimensional data cluster modeling. The knowledge discovery in database (KDD) is alarmed by the development of methods and techniques for making use of data. The data size is generally growing from day to day. One of the most important steps of the KDD is the data mining which is the ability to extract useful knowledge hidden in this large amount of data. Both the data mining and healthcare industry have emerged some of reliable early detection systems and other various healthcare related systems from the clinical and diagnosis data. In this paper propose the enhanced data mining algorithm for healthcare application. It consists of three steps they are anomaly detection, clustering, and classification. In this classification algorithm use the random forest algorithm for accurately predict the patient result from a large amount of data. Finally, our experimental result shows our proposed method can achieve more accuracy result.

Published by: Subhapriya. P, R. Sujatha, K. Meghana

Author: Subhapriya. P

Paper ID: V3I2-1255

Paper Status: published

Published: March 20, 2017

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