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Recent Papers

Image Processing Technique for Plant Disease Identification Using FCM Clustering Technique

Our paper focuses on providing information about plant diseases and prevention methods. Plants have become an important source of energy, and are a fundamental piece of the puzzle to solve the problem of global warming. There are many types of diseases which are present in plants. Diseases weaken trees and shrubs by interrupting chemical change, the method by that plants produce energy that sustains growth and defense systems and influences survival. This paper presents an improved method for plant disease detection using an adaptive approach. This approach helps to increase the accuracy of the disease level, it provides various prevention method (type and amount of pesticides to be used), the level of destruction and helps to check whether the disease spreads or not.

Published by: Niveditha C. R, Megha .S, SowmyaShree .N, Vidhya .K

Author: Niveditha C. R

Paper ID: V3I2-1268

Paper Status: published

Published: March 20, 2017

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Attitude Towards Androgynization of Roles Among Males Working in Socially Accepted Jobs for Men and Women

The paper was aimed to study attitude towards androgynization of roles among males working in socially accepted jobs for men and women. A sample of 115 male employees was selected by purposive sampling method. One group consisted of 65 males in socially accepted jobs for men such as manufacturing units, state transport service, private cabs, petrol pumps, with minimum education 10thStd and another of 50 males from socially accepted jobs for women such as nursing, unisex saloons, etc in Pune City with minimum education 10thStd, with age range 20 to 40 years. They responded to Attitude Towards Androgynization of Roles Scale by Bisht. The statistical tool ‘t’ test was used to find differences in attitude towards androgynization of roles. The results showed that there is the difference (t=5.25) in attitude towards androgynization of roles, there is the difference (t=8.63) in Model, there is the difference (t=2.70) in Prescription of Behaviour, there is the difference (t=5.13) in Exposure to varied occupations. All differences are accepted at 0.05 level. There is no difference (t=1.16) in Reinforcement of Behaviour among males working in socially accepted jobs for men and women.

Published by: Dr. Gauri Kadam, Yogita Ubhe

Author: Dr. Gauri Kadam

Paper ID: V3I2-1266

Paper Status: published

Published: March 20, 2017

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Enhancement of Instrumentation Safety System for Upstream Oil & Gas Sector

This is paper discusses the implement of the close loop control PID block in Safety Instrumented System. PID Block can be implemented by user-defined block. Once the user defined block is created it can be used like normal function blocks like AND, OR, NOT. Here the block is created in Yokogawa safety systems Prosafe-RS. Normally the close loop control block is not used in the safety system so it can be used in non-safety function close loop. The PID blocked is designed by the structured text and the function block diagram language is used.

Published by: Mitesh Patel, Dr. Vipul Shah, Mr. Bhagatsinh Dodia

Author: Mitesh Patel

Paper ID: V3I2-1260

Paper Status: published

Published: March 20, 2017

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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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