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Institution

KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the erosion rate on a coated surface was studied using pot erosion tester, the substrate material used was stainless steel of grade 316 and the material was machined to the required dimensions and was coated one set with tungsten carbide- cobalt and another set with alumina.
Book ChapterDOI
18 Dec 2019
TL;DR: This paper stated effective DataNode assignment techniques for resource allocation in the Hadoop MapReduce job and performed various operations on Amazon EC2 and physical machine to demonstrate that this proposed technique helps to choose optimized node selection for assignment of DataNodes in theHadoop cluster.
Abstract: MapReduce framework in Hadoop is used to analyze the large set of data in a distributed storage system. MapReduce jobs are designate to the task node to perform the map-reduce operation based upon the scheduler. Each node has slots (virtual core) to process a task using the map and reduce operation. Map tasks done separately prior to the Reduce task. The different execution order of jobs and different slot configuration in the clusters affect the CPU performance significantly. In this paper, we have stated effective DataNode assignment techniques for resource allocation in the Hadoop MapReduce job. We performed various operations on Amazon EC2 and physical machine to demonstrate that our proposed technique helps to choose optimized node selection for assignment of DataNodes in the Hadoop cluster. This significantly scales down the cost of the node and increases the job execution performance in the Hadoop cluster.
Book ChapterDOI
23 May 2019
TL;DR: In this article, the authors give the outline of the survey of CrowdSourcing worldview which are arranged by the Crowdsourcing operators and datasets and sketch the vital components that essential to be estimated to improve Crowdsourced data management.
Abstract: Crowdsourcing is developing as a conveyed critical thinking and business creation in recent years. The expression “crowdsourcing” was authored by Jeff Howe in 2006. From that point forward, a great deal of work in Crowdsourcing has concentrated on various parts of publicly supporting, for example, computational procedures and performance analysis. Declarative crowdsourcing frameworks help diminish the complexities and conceal them from users and manages the weight of the crowd. Crowdsourcing has been a critical perspective with regards to locate a specific information in a database. Crowdsourcing gives an amazing platform to execute inquiries that require progressively human talents, insight and investigation rather than simply counterfeit canny computers, which use picture acknowledgment, information filtration and tagging. Crowd optimization realizes how to adjust among cost and latency and accordingly query optimization targets are increasingly effective. CROWDOPT for upgrading three sorts of questions: selectionquires, join quiries and complex quires. In this paper, we give the outline of the survey of Crowdsourcing worldview which are arranged by the Crowdsourcing operators and datasets. In view of this study we sketch the vital components that essential to be estimated to improve Crowdsourced data management.
Journal ArticleDOI
TL;DR: In this article, the breakdown strength of oscillatory impulse voltage for different barrier electrode gap with the dispersed titania (Tio2) nanoparticles in the mineral oil was analyzed.
Abstract: This paper illustrates the breakdown strength of oscillatory impulse voltage for different barrier electrode gap with the dispersed titania (Tio2) nanoparticles in the mineral oil. The breakdown st...
Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors have proposed an automation simulation smart system based environment where Augmented reality (AR) and Virtual reality (VR) comes into play, which is based on data the way it can be gathered, analyzed and deployed in the manufacturing sector with help of augmented and virtual reality.
Abstract: Digitization is the backbone and major cause in the era of Industry 4.0. Manufacturing industries are in the midst of a transformation regarding the method of manufacturing processing and delivering of goods to customers. Until now the production of various goods done by the manufacturing industries uses the traditional method of old machines and human labor but looking into the plan of industry 4.0 it gives tremendous outcomes in terms of economical aspect as well as safety-wise in the long run.. In the first revolution, the manufacturing sector was mainly based on using mechanical human-operated machines which needed a lot of labors to complete the work, Second revolution is the use of mass production and assembly lines with the help of electricity. The third revolution was mainly based on advancements made in machines by introducing computers and reducing the burden on human shoulders. But now the beginning of industry 4.0 has started and many manufacturing sectors are getting benefited from this. Industry 4.0 is the automation simulation smart system based environment where Augmented reality(AR) and Virtual reality(VR) comes into play. Industry 4.0 has started to change the complete industrial experience and with the introduction of AR and VR in manufacturing sectors the profit-economy growth graph is starting to rise hence establishing a strong foundation and helping to deliver good sufficient advanced products that customer desires with the help of purely Automation and Artificial intelligence. Industry 4.0 is based on data the way it can be gathered, analyzed and deployed in the manufacturing sector with help of Augmented and Virtual reality.

Authors

Showing all 427 results

NameH-indexPapersCitations
G. Nagarajan462757004
Raghavan Murugan331263838
B. Nagalingam22292255
G. V. Uma201081357
V. Edwin Geo18631023
R. Lakshmipathy1230442
Sellappan Palaniappan1129803
M. Kannan1028309
B. Vidhya1046399
S. Ramesh948503
R. Gladwin Pradeep921190
T. Ravi823153
K. Vijayaraja815133
C. Clement Raj78212
Maya Joby712309
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
2021102
202039
201957
201839
201741