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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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Book ChapterDOI
01 Jan 2018
TL;DR: A hierarchical routing protocol along with spherical data propagation model is proposed which has the advantage of providing high throughput and clear line of sight and the performance characteristics such as throughput, delivery ratio, drop, and delay is enhanced.
Abstract: The existing protocols which are used for routing in MANET fail to consider FSO characteristics like the frequent physical link disruption (intermittent connectivity) and the requirement of line of sight (LOS). Hence, a hierarchical routing protocol along with spherical data propagation model is proposed. In this method, first clustering is done based on neighbor discovery algorithm and then cluster head is selected with the help of network source connector. This process provides network with reliable cluster head. After that source transmits packet based on the proposed data propagation model which helps to increase the transmission range and provides clear line of sight for smooth routing in FSO. Varying the number of transceivers as 2, 4, 6, and 8 it is seen that the performance characteristics such as throughput, delivery ratio, drop, and delay is enhanced. Proposed protocol has the advantage of providing high throughput and clear line of sight.

1 citations

Book ChapterDOI
01 Jan 2017
TL;DR: In this paper, an adaptive feedback system along with the HSVC is used to improve power system voltage stability by enhancing generator reactive, active power control and voltage control in wind power production system.
Abstract: Voltage instability and over voltage are one of the main problems in today wind industry. In wind power production system the output is depends upon the nature of source called wind. But that source is not constant one. It may be varying depending upon the climate. Due to that oscillation the output voltage from the generator side is instability. These problems are becoming a more serious concern with the ever-increasing utilization and higher loading of existing transmission systems, particularly with increasing energy wastage, energy demands, and competitive generation and supply requirements. Our aim is to improve power system voltage stability by enhancing generator reactive, active power control and voltage control. Adaptive feedback system along with the HSVC ways to improve power system voltage stability by enhancing generator controls in the wind power station. To solve this problem adaptive exciter system are used which will adjust the load voltage and the system voltage with that of the reference voltage. The generator output voltage is applied to the adaptive exciter controller (AEC) which updates its stability weight value on demand. The design of modules can be done in Xilinx system generator (XSG). The modules that are designed in system generator can be implemented in FPGA.

1 citations

Posted Content
TL;DR: A symmetric key generation method which generates primary cipher and it is then converted into final cipher using random key generated DNA sequences, so that reading can be complicated.
Abstract: In this paper, a new Bio-inspired computing algorithm for symmetric encryption. Information flows throughout the network that can be of local or of global scope. It is mandatory to secure information from unauthorized access of it by any node in the path. So security is necessary before encryption. This paper proposes a symmetric key generation method which generates primary cipher and it is then converted into final cipher using random key generated DNA sequences, so that reading can be complicated.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the development of copper-iron based material for brake pads is discussed where the kinetic energy of vehicle is more at the time of halt and the coefficient of friction shows a very gradual increase with the increase in time.

1 citations

Book ChapterDOI
01 Jan 2017
TL;DR: The outcome show the group of load of energy management system with the planned approach increases the effectiveness by minimizing the losses while compared to existing method.
Abstract: This paper presents an energy management system with reduced energy consumption as well as to look for alternative sources of energy which are cheaper to minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands (e.g., a college campus) that is supplied by the main grid and a stochastic distributed energy resources (DER) e.g., a wind and solar power plants with energy storage facilities is considered. An energy management system (EMS) arranges the value responsive requests inside of the bunch and gives the interface to vitality exchanging between the requests and the suppliers, primary lattice and DER. Vitality administration calculation permits the bunch of requests to purchase, store and offer vitality at suitable times. To solve this EMS problem, an optimization algorithm base on linear programming (LP) approach has been implemented. Toward estimate the performance of the planned algorithm an IEEE 14 bus system was consider. The outcome show with the purpose of the group of load of energy management system with the planned approach increases the effectiveness by minimizing the losses while compared to existing method. Improvement in the method is the optimization problem having two sources vulnerability identified with both the generation level of the DER and the cost of the vitality acquired from/sold to the fundamental network, which is demonstrated utilizing robust optimization (RO) procedures. Shrewd grid (SG) innovation is utilized to acknowledge 2-route correspondence between the EMS and the primary lattice and between the EMS and DER.

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