Economical and efficient big data sharing with cloud
Big data such as social media contents, an archive of high definition videos gathered via ubiquitous information-sensing devices and scientific data could be acquired and stored within an organization’s external cloud(s) and distribution retrieved by staffs or customers via cloud services offered by the organization. The growth of cloud computing, big data, and analytics compels businesses to turn into big data-as-a-service solutions in order to overcome common challenges, such as data storage or processing power. This paper presents new and comparative performance behaviors of i-Cloud and three well-known approaches by emulating a hybrid cloud as a testing environment.
Published by: Ankur Singh
Author: Ankur Singh
Paper ID: V4I6-1420
Paper Status: published
Published: December 28, 2018
Speed control of bridgeless buck-boost converter-fed BLDC motor drive using PI controller and neuro-fuzzy controller
The devices that are typically utilized in industrial, commercial and residential applications got to undergo rectification for their correct functioning and operation. The AC supply is always vulnerable to the nonlinear loads like the inductive loads, which includes the induction and PMBLDC motors. In order to maintain a pure sinusoidal voltage at the AC source side, the Power factor Correction circuits at the source side are unavoidable. An approach of speed control of the BLDC motor by controlling the dc link voltage of the voltage source inverter (VSI) is used with a single voltage sensor. A bridgeless configuration of Buck-Boost converter is proposed that offers the elimination of the diode bridge rectifier, hence reducing the conduction losses which are related to it. This reduces the switching losses in VSI due to a low-frequency operation of VSI for electronic commutation of BLDC motor. The performance of the proposed drive is evaluated for a wide range of speed control with improved power quality at AC mains. The purpose of this paper is to control the speed of a brushless dc motor by using a PI controller and Neuro-fuzzy controller and is carried out using MATLAB/ Simulink tools and the results are validated.
Published by: Shruthi R., Nalina Kumari A.
Author: Shruthi R.
Paper ID: V4I6-1409
Paper Status: published
Published: December 27, 2018
A survey on security issues in online social networks
This paper surveys this state of security problems and offered defense mechanisms relating to well-liked on-line social networks. It covers a large variety of attacks and also the corresponding defense mechanisms if offered. The authors organize these attacks into four classes - privacy breaches, viral selling, network structural attacks, and malware attacks - and focus primarily on privacy considerations. they provide associate degree in-depth discussion of every category and analyze the connections among the various security problems involved.
Published by: Satish Kumar Ray
Author: Satish Kumar Ray
Paper ID: V4I6-1424
Paper Status: published
Published: December 27, 2018
Effect of uphill training on selected physical and physiological variables among long distance runners
The main purpose of this study is to find out the effect of uphill training on selected physical and physiological variables among long-distance runner. For the present study, the researcher takes the male long distance runners from Pudukkottai District taken as sources of data. Thirty male long distance runners, who had participated in intercollegiate tournaments, were preferred as an area under discussion for this study. The age of the subject matter was ranging from 18 years to 25 years. The criterion measures adopted for the study measuring the physical and physiological variables are given below. To measure the physical variables 600 m run for speed endurance, 12 minutes run and walk for cardiorespiratory endurance, pulse count for resting pulse rate and Harvard step test for vo₂ max the effect of uphill training on selected physical variables and physiological variables among long-distance runners the independent “t” test was used at 0.05 level of significance. Result: There was a significant difference in experimental groups in speed endurance, Cardiorespiratory endurance, resting pulse rate and vo₂ max.
Published by: R. Panneer Selvam, M. Sundar
Author: R. Panneer Selvam
Paper ID: V4I6-1411
Paper Status: published
Published: December 27, 2018
A survey on cyber security and privacy concerns in smart grids
A smart grid could be a promising power delivery infrastructure integrated with communication and knowledge technologies. Its bi-directional communication and electricity flow enable each utility and customers to observe, predict, and manage energy usage. It additionally advances energy and environmental sustainability through the mixing of Brobdingnagian distributed energy resources. Deploying such an inexperienced electrical system has huge and extensive economic and social edges. still, increased interconnection and integration additionally introduce cyber vulnerabilities into the grid. Failure to handle these issues will hinder the modernization of the prevailing grid. In order to create a reliable sensible grid, a summary of relevant cybersecurity and privacy problems is given. supported current literature, many potential analysis fields are mentioned at the end of this paper.
Published by: Satish Kumar Ray
Author: Satish Kumar Ray
Paper ID: V4I6-1423
Paper Status: published
Published: December 27, 2018
An efficient biometric fusion using iris and fingerprint in digital image processing
The Biometric systems are the skill for legalization or arrangement of various individuals using person’s physical and behavioral personalities. Though these schemes are more sheltered compared to the conservative processes like key authentications, password, they also experience many limitations like noise in the data, intra-class difference and spoof occurrences. One of the explanations to these glitches is to deal multi-biometric schemes also in these type of systems various foundations of biometric data are used. This paper deals with the fusion approach using extraction of feature vector for biometric traits of human in terms of iris and fingerprints and the performance is evaluated in terms of high recognition rates. The proposed system shows the robustness in the recognitions of the unique individuals using their iris and fingerprints fusion process.
Published by: Sarbjit Kaur, Harjinder Kaur
Author: Sarbjit Kaur
Paper ID: V4I6-1425
Paper Status: published
Published: December 27, 2018
