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Articles by K. Thanushkodi
Total Records ( 6 ) for K. Thanushkodi
  K. Ramalakshmi and K. Thanushkodi
  Relay nodes are used in the transfer of the data packets to the Base Station (BS) via the Sensor Nodes (SN). The placement of RNs influences the lifetime and connectivity of a Wireless Sensor Network (WSN) System. A traffic aware random deployment technique for the relay nodes is proposed in this study. The scalability and traffic of the WSN are analyzed. A traffic aware RN selection is performed for both single hop and multi hop communication cases. Traffic based random deployment methods of RN, namely, lifetime-oriented deployment and hybrid deployment, solve the issue of a short WSN lifetime and insufficient energy utilization. The trade-off between the lifetime extension and connectivity of SN in a WSN is considered in the performance analysis. The proposed method provides an efficient approach for the placement of RNs in a heterogeneous WSN.
  J. Jayakumar and K. Thanushkodi
  This study presents an algorithm, for solving Security Constrained Economic Dispatch (SCED) problem with Flexible AC Transmission Systems (FACTS) through the application of Evolutionary Programming (EP). The problem is decomposed into the optimal setting of FACTS parameters subproblem and the OPF with fixed FACTS parameters subproblem. These two subproblems are solved by Exponential Evolutionary Programming (EEP). Two types of FACTS devices are used: Thyristor-Controlled Series Capacitor (TCSC) and Thyristor-Controlled Phase Shifting (TCPS). The proposed approaches have been implemented on an adapted IEEE 30 bus system. The simulation results indicates are compared and discussed to show the performance of the EP technique.
  A. Umaamaheshvari and K. Thanushkodi
  Technical advancement has increased the availability of medical images which made the retrieval process for a query hectic. Therefore, an efficient and secure retrieval technique is required along. To address this requirement, this study has proposed a new technique named Secure and Efficient Image Retrieval (SEIR) technique. Here, to avoid the copyright violation as well as unauthorized user access SEIR uses the watermarking technique to provide authentication to the medical images. Watermarking technique is carried out by embedding the watermark into the query image using the Dynamic Binary Encoding (DBE) technique. Thereby, the proposed technique allows only the authenticated people to access the images presented in a database. In order to make the retrieval process efficient, SEIR uses the kNN classifier which classifies the images in the database depending on the feature characteristic. This classification process consumes less time to retrieve the pertinent document. Therefore, the SEIR technique is secured as well as it is efficient. The experimental results show, how SEIR is efficient as well as secure.
  R. Muthu Kumar and K. Thanushkodi
  Distribution system is a critical link between customer and utility. The control of power loss is the main factor which decides the performance of the distribution system. There are two methods such as: distribution system reconfiguration and inclusion of capacitor banks used for controlling the real power loss. Distribution system reconfiguration helps to operate the system at minimum cost and at the same time improves the system reliability and security. Under normal operating conditions, optimization of network configuration is the process of changing the topology of distribution system by altering the open/closed status of switches to find a radial operating structure that minimizes the system real power loss while satisfying operating constraints. Considering the improvement in voltage profile with the power loss reduction, later method produces better performance than former method. This study presents an advanced evolutionary algorithm for capacitor inclusion for loss reduction. The conventional sensitivity analysis is used to find the optimal location for the capacitors. In order to achieve a better approximation for the current candidate solution, Opposition based Differential Evolution (ODE) is introduced. The effectiveness of the proposed technique is validated through IEEE-33 bus Power Distribution Systems.
  S. Deivanai and K. Thanushkodi
  Binary Decision Diagram (BDD) has been a popular method for representation of Boolean functions. Various methods using several variable-ordering techniques have been proposed for minimizing the size of BDD. Though, there are a number of methods to reduce the size of BDD no such data structures are introduced to challenge the BDD for decades. This study explains a novel data structure to store boolean functions called as ACID Diagram (ASCII Decision Diagram). The complete ACID diagram generation process is explained in this study with examples and several advantages of ACID diagrams are in comparison to BDDs are discussed and the complete method to implement the ACID diagram in hardware is explained. Researchers also propose several solid future works in ACID diagrams. First future research is to validate the proposed ACID diagram using several benchmark circuits and the second future research is to develop an algorithm to simplify the ACID diagrams similar to BDD simplification. The third future research is to develop methods to support don’t care functions.
  S. Elangovan and K. Thanushkodi
  To improve the quality of the electrical power to the consumers, many power electronic based solutions are available. In the case of active power factor compensation, grid connected voltage source inverter based Shunt Active Power Filter is the versatile solution. But in this system most of the control strategies demand generation of unit vector based on the grid voltage for vector orientation. Due to presence of harmonics in grid voltages and the level of noise in the grid voltage sensing circuits will make estimation of unit vector to be difficult and PLL circuits are necessary. This study presents a simple and efficient method to evaluate the unit vector without the use of PLL or any hardware filter network. This method utilizes d-q reference frame control strategy for shunt active filter and is simulated with a 100 kVAR System. The proposed active filter network is simulated in MATLAB/SIMULINK and the simulation results are presented to validate the effectiveness of this control strategy.
 
 
 
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