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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: Adsorption & Diesel fuel. The organization has 427 authors who have published 381 publications receiving 2193 citations.


Papers
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Journal ArticleDOI
30 Aug 2017
TL;DR: This paper deals with the voltage sag compensator in a system using flywheel energy storage system technology by using partial magnetic levitation to overcome frictional losses.
Abstract: This paper deals with the voltage sag compensator in a system using flywheel energy storage system technology by using partial magnetic levitation. Voltage fluctuates in a generator from second to second and due to these fluctuations, it becomes difficult to meet the consumer demand since they account to high current losses. In such a case, Flywheels are used where energy is stored mechanically and transferred to and from the flywheel by an integrated motor/generator. Today flywheels are used as supplementary UPS storage at several industries world over. Future applications span a wide range including electric vehicles, intermediate storage for renewable energy generation and direct grid applications from power quality issues to offering an alternative to strengthening transmission. One of the key advantages of flywheel is that it compensates for the losses of the system by its storage mechanism and thus high overall efficiency is attained. When voltage is increased, current losses are reduced and transformer steps become redundant. Recent progress in semi-conductor technology enables faster switching and lower costs. Flywheel with magnetic bearings using magnetic levitation has been introduced for effectiveness of the system and to overcome frictional losses. The predominant parts of prior studies have been directed towards optimizing mechanical issues whereas the electro technical part now seems to show great potential for improvement. An overview of flywheel technology and previous projects are presented and moreover a 200kW flywheel using high voltage technology is simulated.

1 citations

Book ChapterDOI
01 Jan 2021
TL;DR: Artificial intelligence is the wide branch of computer science that is specifically concerned with smart machines capable to perform specific tasks based on human intelligence, and it can effectively understand and build intelligent agents or entities.
Abstract: Artificial intelligence (AI) is the wide branch of computer science that is specifically concerned with smart machines capable to perform specific tasks based on human intelligence. Some of the tasks include speech recognition, translation between languages, visual perception, and decision-making. The machines with strong AI can able to act and think like a human being, and the strong machine can effectively learn from experience. The weak AI can only respond to certain situations, as it cannot think for themselves. The major purpose of using AI is that it reduced human casualties in dangerous workspaces, natural disasters, car accidents, and wars. It is the field of study that explains and emulates the intelligent behavior in terms of computational processes. It is the process of making intelligent machines especially intelligent computer programs. It can effectively understand and build intelligent agents or entities.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the inhibition effect of diethylenetriamine penta (methylene phosphonic acid) (DTPMP) and trisodium Citrate (TSC) on the corrosion behavior of stainless steel in 0.5 M H 2 SO 4 solution was investigated by using weight loss method.
Abstract: The inhibition effect of diethylenetriamine penta(methylene phosphonic acid) (DTPMP) and Trisodium Citrate (TSC) on the corrosion behavior of stainless steel in 0.5 M H 2 SO 4 solution was investigated by using weight loss method. The combined corrosion inhibition efficiency offered 200 ppm of DTPMP and 150 ppm of TSC was 95%. Polarization study showed that the inhibitors inhibit stainless steel corrosion through mixed mode and electrochemical impedance spectroscopy (EIS) results confirm the adsorption of the inhibitors at stainless steel/acid interface. The adsorption of DTPMP and TSC onto the stainless steel surface was found to follow Langmuir adsorption isotherm modes. Negative values of (ΔG ads ) in the acid media ensured the spontaneity of the adsorption process. The nature of the protective film formed on the metal surface has been analyzed by FTIR spectra and SEM analysis. The activation energy (E a ), free energy change (ΔG ads ), enthalpy change (ΔH ads ) and entropy change (ΔS ads ) were calculated to understand the corrosion inhibition mechanism.

1 citations

Journal ArticleDOI
TL;DR: Sodium alginate modified Ag2O (SA@Ag2O) nano-colloid is synthesized and studied colorimetric response towards eight selected amino acids in aqueous medium at room temperature as mentioned in this paper.
Abstract: Sodium alginate modified Ag2O (SA@Ag2O) nano-colloid is synthesised and studied colorimetric response towards eight selected amino acids in aqueous medium at room temperature. The synthesised SA@Ag...

1 citations

Book ChapterDOI
01 Jan 2020
TL;DR: Crowdsourcing permits huge scale and adaptable summon of human contribution for information social affair and examination, which presents another world view of information mining process.
Abstract: Crowdsourcing permits huge scale and adaptable summon of human contribution for information social affair and examination, which presents another world view of information mining process. Customary information mining techniques frequently require specialists in investigative areas to comment on the information. In any case, it is costly and ordinarily takes a long time. Crowdsourcing empowers the utilization of heterogeneous foundation information from volunteers and circulates the explanation procedure to little segments of endeavors from various commitments. The data analytics process is done via logistic regression.

1 citations


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