Optimization of Parameter for Surface Roughness by Using Taguchi Method
In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Taguchi approach. The aim of the present work is to investigate the effects of process parameters on surface finish to obtain the optimal setting of these process parameters, and the regression analysis and the analysis of variance(ANOVA) is also used to analyse the influence of cutting parameter during machining. Current investigation on turning process is a Taguchi optimization technique applied on the most effective process parameters i.e. feed, cutting speed and depth of cut while machining SS 304 as the work piece with brazed cutting tool. Main effect plots are generated and analysed to find out the relationship between them. The details of experimentation and analysis are given in the following context.
Published by: Krishanveer Singh, Abhilash Karakoti
Author: Krishanveer Singh
Paper ID: V3I4-1222
Paper Status: published
Published: July 28, 2017
Supply Chain Management System
Leading industry analysts are projecting continued growth for business applications such as Enterprise Resource Planning, Customer Resource Management, and in particular Supply Chain Management. The survey of manufacturers was conducted that supports the analysts’ projections. The survey was conducted to determine the extent to which supply chain management techniques and technologies are being used in different sectors, to understand the challenges faced while implementing Supply Chain systems, to identify key barriers to supply chain collaboration, and to understand the state of the market for SCM systems The survey findings reveal that the companies face a number of challenges while implementing Supply Chain systems in their organizations. And there are identifiable key barriers to supply
Published by: Arjun Singh, Gyanendu Sharma
Author: Arjun Singh
Paper ID: V3I4-1236
Paper Status: published
Published: July 28, 2017
Fuzzy Enhanced 3-Level Dwt Image Compression
The development of the higher quality and cheaper image acquisition devices has produced steady increases in both resolution and image size, and a greater consequent for the design of efficient compression techniques . Although the storage capacity and transfer bandwidth has grown accordingly in past years, many applications still require compression. Uncompressed multimedia (graphics, video and audio) data requires storage capacity and transmission bandwidth. Despite the frequent progress in mass-storage density, processor speeds, and the performance of digital communication system , demands for data storage capacity and data transfer bandwidth. The amount of data related with visual information is so large that its storage would requires more storage capacity. Storage and/or transmission of such data require large capacity and/or bandwidth, which could be very expensive. In this research work we present a technique which is a combination of DWT technique and enhanced by Fuzzy logic function. The aim is to give a better compression ratio along with increasing the visual perception quality of the image. Fuzzy logic Technique have been used in various areas involving clustering, data aggregation pattern deduction etc. We are using fuzzy logic in this technique to improve the quality of the compressed image resulted from DWT image compression technique.
Published by: Manish Mishra, Dr. Md. Sanawer Alam
Author: Manish Mishra
Paper ID: V3I4-1165
Paper Status: published
Published: July 27, 2017
Authorized Deduplication of Files in Cloud Environment
Data deduplication is one of vital information compression procedures for disposing of copy duplicates of rehashing information, and has been generally utilized as a part of cloud storage to lessen the measure of storage room and spare data transfer capacity. To secure the classification of sensitive information while supporting deduplication, the convergent encryption method has been proposed to encode the information before outsourcing. To better ensure information security, this paper makes the primary endeavor to formally address the issue of approved information deduplication. Not quite the same as customary deduplication frameworks, the differential benefits of clients are additionally considered in copy check other than the information itself. We likewise display a few new deduplication developments supporting approved copy check in a half and half cloud design. Security examination exhibits that our plan is secure as far as the definitions indicated in the proposed security show. As a proof of idea, we execute a model of our proposed approved duplicate check plan and direct testbed experiments utilizing our model. We demonstrate that our proposed authorized duplicate check scheme brings about negligible overhead contrasted with normal operations.
Published by: Shrikrishna Kerur, Dr. Anand N. Diggikar
Author: Shrikrishna Kerur
Paper ID: V3I4-1234
Paper Status: published
Published: July 25, 2017
Novel Fuzzy logic controller based Multivariable Energy Management Strategy for Standalone DC Micro grids
Due to substantial generation and demand fluctuations in standalone green electricity control schemes are becoming crucial for the electricity sharing and voltage regulation functions. The classical power management strategies rent the maximum energy factor monitoring (MPPT) algorithms and rely on batteries in case of possible extra or deficit of strength. However, so as to recognize constant present day-constant voltage (IU) charging regime and growth the life span of batteries, electricity control strategies require being more flexible with the power curtailment feature. The paper proposes a method for the hybrid solar photovoltaic and wind energy device in Battery management for stand-alone applications. Battery charging manner is non-linear, time-varying with an enormous time delay so it is difficult to achieve the best energy management performance by using traditional control approaches. A fuzzy manipulate approach for battery charging or discharging utilized in a renewable power generation system is analysed in the paper. To improve the life cycle of the battery, fuzzy control manages the desired state of charge (SOC). A fuzzy logic-based controller for use for the Battery SOC manipulate of the designed hybrid system is proposed and in comparison with a classical PI controller for the overall performance validation. The whole designed device is modelled and simulated the use of MATLAB/Simulink Environment.
Published by: Navneet Singh Saini, Davesh Bindal
Author: Navneet Singh Saini
Paper ID: V3I4-1220
Paper Status: published
Published: July 25, 2017
Classification of Leaf Disease Based On Multiclass SVM Classifier
India, the country where the main source of income is from agriculture. Farmers grow variety of crops based on their requirement. Since the plants suffer from disease, the production of crop decreases due to infections caused by several types of diseases on its leaf, fruit and stem. Leaf diseases are mainly caused by bacteria, fungi, virus etc. Diseases are often difficult to control. Diagnosis of the disease should be done accurately and proper actions should be taken at the appropriate time. Image Processing is the trending technique in detection and classification of plant leaf disease. This work describes how to automatically detect leaf diseases. The given system will provide fast, spontaneous, precise and very economical method in detecting and classifying leaf diseases. This paper is envisioned to assist in the detecting and classifying leaf diseases using Multiclass SVM classification technique. First the affected region is discovered using segmentation by K-means clustering, then features (color and texture) are extracted. Lastly, classification technique is applied in detecting the type of leaf disease. The proposed system effectively detects and also classify the disease with accuracy of 92%.
Published by: Pooja Kulinavar, Vidya I. Hadimani
Author: Pooja Kulinavar
Paper ID: V3I4-1205
Paper Status: published
Published: July 25, 2017
