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Unstructured Oncological Image Cluster Identification Using Improved Unsupervised Clustering Techniques

Computers, materials & Continua 2022年第7期72卷 281-299页

作者： S.Sreedhar Kumar Syed Thouheed Ahmed Qin Xin S.Sandeep m.madheswaran Syed muzamil Basha Dr.T.Thimmaiah Institute of Technology VTUKGFKarnatakaIndia School of Computing&Information Technology REVA UniversityBengaluruIndia Faculty of Science and Technology University of the Faroe IslandsFaroe IslandsDenmark K S School of Engineering BengaluruIndia muthayammal Engineering College RasipuramTamil NaduIndia

This paper presents,a new approach of medical Image Pixels Clustering(mIPC),aims to trace the dissimilar patterns over the magnetic Resonance(mR)image through the process of automatically identify the appropriate number of distinct clusters based on different improved unsupervised clustering schemes for enrichment,pattern predication and deeper *** proposed mIPC consists of two stages:clustering and *** the clustering stage,the mIPC automatically identifies the distinct number of dissimilar clusters over the gray scale mR image based on three different improved unsupervised clustering schemes likely improved Limited Agglomerative Clustering(iLIAC),Dynamic Automatic Agglomerative Clustering(DAAC)and Optimum N-means(ONm).In the second stage,the performance of mIPC approach is estimated by measuring Intra intimacy and Intra contrast of each individual cluster in the result of mR image based on proposed validation method namely Shreekum Intra Cluster measure(SICm).Experimental results showthat the mIPC approach is better suited for automatic identification of highly relative dissimilar clusters over the mR cancer images with higher Intra closeness and lower Intra contrast based on improved unsupervised clustering schemes.

关键词： magnetic resonance image unsupervised clustering scheme intra intimacy intra contrast iLIAC shreekum intra cluster measure medical image clustering

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Performance Analysis of Fuzzy Logic Controller Based DC-DC Converter fed DC Series motor

Performance Analysis of Fuzzy Logic Controller Based DC-DC C...

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2009中国控制与决策会议

作者： m.muruganandam m.madheswaran Centre for Advanced Research Muthayammal Engineering CollegeRasipuramTamilnaduIndia 637408

ISBN: (纸本)9781424427239

＜正＞A fuzzy controller for closed loop control of DC drive fed by DC-DC converter（Chopper） is designed and presented in this *** system has been designed to have two loops with an inner ON/OFF current controller and an outer fuzzy speed *** later is used to change the duty cycle of the converter and thereby,the voltage fed to the DC series motor regulates its *** performance in respect of load variation and speed change has been reported. The performance o f the proposed controller is compared with the reported results and found that the fuzzy based DC-DC drive can have better control.

关键词： -DC-Series motor fuzzy controller DC-DC Converter speed control

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Comparative Analysis of Quantum based Receivers with Linear and Nonlinear Adaptive Receivers

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China Communications 2007年第4期4卷 33-39页

作者： S.Sasikumar S.Karthikeyan m.Suganthi m.madheswaran P.S.N.A.College of Engineering and Technology Dindigul-624622.India Thiagarajar College of Engineering MaduraiIndia muthayammal Engineering College RasipuramIndia

In this paper,we propose a new linear multiuser receiver for synchronous code-division multiple-access (CDmA) systems,referred to as the orthogonal multiuser(OmU) *** the linear minimum mean-squared error(mmSE) receiver,the OmU receiver depends only on the signature vectors and does not require knowledge of the received amplitudes or the channel signal-to-noise ratio(SNR).Here we develop methods that construct an optimal set of vectors with a specified inner product structure,from a given set of vectors in a complex Hilbert *** optimal vectors are chosen to minimize the sum of the squared norms of the errors between the constructed vectors and the given *** algorithm has been developed using the principles of quantum parameters and some of its axioms and *** place of the classical matched filter(mF) receiver we propose a modified *** approach assumes that improving the accuracy will necessarily result in im- proved *** simulation results provided here suggests that in certain cases the OmU and POmU receivers can significantly increase the probability of correct detection with low error rate over the mF receiver.

关键词： Quantum mechanics inner product structure least square Orthogonal Orthonormal matched filter

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Experimental verification of chopper fed DC series motor with ANN controller

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Frontiers of Electrical and Electronic Engineering in China 2012年第4期7卷 477-489页

作者： m. mURUGANANDAm m. madheswaran Centre for Advanced Research Muthayammal Engineering CollegeRasipuram 637408 Tamilnadu India

In this article an artificial neural network （ANN） has been designed for the control of DC series motor through a DC chopper （DC-DC buck converter）. The proportional-integral-derivative （PID）-ANN speed controller controls the motor voltage by controlling the duty cycle of the chopper thereby the motor speed is regulated. The PID-ANN controller performances are analyzed in both steady-state and dynamic operating condition with various set speeds and various load torques. The rise time, maximum overshoot, settling time, steady-state error, and speed drops are taken for comparison with conventional PID controller and existing work. The training samples for the neuron controller are acquired from the conventional PID controller. The PID-ANN controller performances are analyzed in respect of various load torques and various speeds using mATLAB simula-tion. Then the designed controllers were experimentally verified using an NXP 80C51 based microcontroller （P89VSIRD2BN）. It was found that the hybrid PID-ANN controller with DC chopper can have better control compared with conventional PID controller.

关键词： DC series motor proportional-integral-deri-vative (PID) controller artificial neural network (ANN)controller DC chopper speed control mATLAB simulink

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DSP based fuzzy controller for series parallel resonant converter

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Frontiers of Electrical and Electronic Engineering in China 2012年第4期7卷 438-446页

作者： m. madheswaran C. NAGARAJAN Centre for Advanced Research Muthayammal Engineering CollegeRasipuram-637408 Tamilnadu India

In this paper, digital signal processor （DSP） based fuzzy controller for series parallel resonant converter （SPRC） has been estimated, and the performance of the converter is analyzed by using state space model. The method to predict the steady-state and dynamic perfor-mance of the converter with load independent operation has been presented. The proposed converter has been analyzed with the closed-loop and open-loop conditions. The simple form of transfer function for SPRC is developed, and it is used to analyze the stability of the converter with closed-loop operation. The stability analy-sis of the converter is carried out by using frequency response plan. The fuzzy controller regulates the output voltage with change supply voltage and load disturbance. The controller performance of inductance capacitance inductance - T network （LCL-T） SPRC is compared with inductance inductance capacitance - T network （LLC-T） SPRC through simulation TmS320F2407 processor. and experimental studies using

关键词： power electronics DC-DC power converters,fuzzy control system analysis and design

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