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A Novel Fuzzy Inference System-Based Endmember Extraction in Hyperspectral Images

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Intelligent Automation & Soft Computing 2023年第8期37卷 2459-2476页

作者： M.r.vimala Devi S.Kalaivani School of Electronics Engineering Vellore Institute of TechnologyVellore632051India

Spectral unmixing helps to identify different components present in the spectral mixtures which occur in the uppermost layer of the area owing to the low spatial resolution of hyperspectral *** spectral unmixing methods are globally based and do not consider the spectral variability among its endmembers that occur due to illumination,atmospheric,and environmental ***,endmember bundle extraction plays a major role in overcoming the above-mentioned limitations leading to more accurate abundance ***,a two-stage approach is proposed to extract endmembers through endmember bundles in hyperspectral *** divide and conquer method is applied as the first step in subset images with only the non-redundant bands to extract endmembers using the Vertex Component Analysis(VCA)and N-FINDr algorithms.A fuzzy rule-based inference system utilizing spectral matching parameters is proposed in the second step to categorize *** endmember with the minimum error is chosen as the final endmember in each specific *** proposed method is simple and automatically considers endmember variability in hyperspectral *** efficiency of the proposed method is evaluated using two real hyperspectral *** average spectral angle and abundance angle are used to analyze the performance measures.

关键词： Hyperspectral image spectral unmixing spectral matching endmember bundles fuzzy inference system

A study on distributive and modular lattice ordered fuzzy soft group and its duality

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Applied Mathematics(A Journal of Chinese Universities) 2016年第4期31卷 491-502页

作者： J Arockia reeta J vimala Department of Mathematics Alagappa University

Soft set theory has a rich potential application in several fields. A soft group is a parameterized family of subgroups and a fuzzy soft group is a parameterized family of fuzzy subgroups. The concept of fuzzy soft group is the generalization of soft group. Abdulkadir Aygunoglu and Halis Aygun introduced the notion of fuzzy soft groups in 2009[1]. In this paper, the concept of lattice ordered fuzzy soft groups and its duality has been introduced. Then distributive and modular lattice ordered fuzzy soft groups are analysed. The objective of this paper is to study the lattice theory over the collection of fuzzy soft group in a parametric manner. Some pertinent properties have been analysed and hence established duality principle.

关键词： Fuzzy soft set fuzzy soft group lattice ordered fuzzy soft groups distributive lattice orderedfuzzy soft groups modular lattice ordered fuzzy soft groups.

An improved evaporation rate water cycle algorithm for energy-efficient routing protocol in WSNs

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International Journal of Intelligent Computing and Cybernetics 2023年第1期16卷 30-45页

作者： vimala Dayalan Manikandan Kuppusamy School of Computer Science and Engineering Vellore Institute of TechnologyVelloreIndia

Purpose-The paper aims to introduce an efficient routing algorithm for wireless sensor networks(WSNs).It proposes an improved evaporation rate water cycle(improved Er-WC)algorithm and outlining the systems performance in improving the energy efficiency of *** proposed technique mainly analyzes the clustering problem of WSNs when huge tasks are ***/methodology/approach-This proposed improved Er-WC algorithm is used for analyzing various factors such as network cluster-head(CH)energy,CH location and CH density in improved *** proposed study will solve the energy efficiency and improve network throughput in ***-This proposed work provides optimal clustering method for Fuzzy C-means(FCM)where efficiency is improved in *** evaluations are conducted to find network lifespan,network throughput,total network residual energy and network *** limitations/implications-The proposed improved Er-WC algorithm has some implications when different energy levels of node are used in *** implications-This research work analyzes the nodes’energy and throughput by selecting correct CHs in intra-cluster *** can possibly analyze the factors such as CH location,network CH energy and CH ***/value-This proposed research work proves to be performing better for improving the network throughput and increases energy efficiency for WSNs.

关键词： WSNs Improved Er-WCA Energy efficiency routing protocol PCM Fuzzy C-Means Paper type research paper

Spectral Analysis and Validation of Parietal Signals for Different Arm Movements

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Intelligent Automation & Soft Computing 2023年第6期36卷 2849-2863页

作者： Umashankar Ganesan A.vimala Juliet r.Amala Jenith Joshi School of Electrical and Electronics Engineering Sathyabama Institute of Science and TechnologyChennai600119India School of Electronics and Instrumentation Engineering SRM Institute of Science and TechnologyChennai630203India Department of Biomedical and Mechanical Engineering School of EngineeringNational University of IrelandGalwayH91 CF50Ireland

Brain signal analysis plays a significant role in attaining data related to motor *** parietal region of the brain plays a vital role in muscular *** approach aims to demonstrate a unique technique to identify an ideal region of the human brain that generates signals responsible for muscular movements;perform statistical analysis to provide an absolute characterization of the signal and validate the obtained results using a prototype *** can enhance the practical implementation of these frequency extractions for future neuro-prosthetic applications and the characterization of neurological diseases like Parkinson’s disease(PD).To play out this handling method,electroencepha-logram(EEG)signals are gained while the subject is performing different wrist and elbow ***,the frontal brain signals and just the parietal signals are separated from the obtained EEG signal by utilizing a band pass ***,feature extraction is carried out using Fast Fourier Transform(FFT).Subse-quently,the extraction process is done by Daubechies(db4)and Haar wavelet(db1)in MATLAB and classified using the Levenberg-Marquardt *** results of the frequency changes that occurred during various wrist move-ments in the parietal region are compared with the frequency changes that occurred in frontal EEG *** proposed algorithm also uses the deep learn-ing pattern analysis network to evaluate the matching sequence for each action that takes *** accuracy of 97.2%and maximum error range of 0.6684%are achieved during the *** of this research confirm that the Levenberg-Marquardt algorithm,along with the newly developed deep learn-ing hybrid PatternNet,provides a more accurate range of frequency changes than any other classifier used in previous works of *** on the analysis,the peak-to-peak value is used to define the threshold for the prototype arm,which performs all the intended degrees of freedom(DOF),verifying

关键词： Parietal EEG signals fast fourier transform Levenberg-Marquardt algorithm haar wavelet daubechies wavelet statistical analysis

Isolation and characterization of marine biofilm forming bacteriafrom a ship＇s hull

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Frontiers in Biology 2018年第3期13卷 208-214页

作者： Kavitha S vimala raghavan School of Biosciences and Technology Vellore Institute of Technology Vellore-632-014 Tamil Nadu India Centre for Nanotechnology researchl Vellore Institute of Technologyl Vellore-632 014 Tamil Nadu India

Diverse aquatic microorganisms are capable of colonizing living and non-living surfaces leading to the formation of biofilms. Commonly visualized as a slimy layer, these biofilms are filled with hundreds of other microorganisms compared to free living planktonic cells. Microbial surface colonization and surface-associated metabolic activities also exert several macroscale deleterious effects, including biofouling, biocorrosion and the persistence and transmission of harmful or pathogenic microorganisms and virulence determinants. The present study deals with the isolation and screening of marine bacteria for biofilm formation. The screened isolates were characterized and identified as Pychrobacter celer, Pychrobacter alimentarius and Kocuria rhizophila by 16S rrNA sequencing. Biofilm forming bacteria were isolated by spread plate technique and subjected to screening by microtiter plate assay. The potent biofilm formers were identified by molecular characterization using 16S rrNA gene sequencing. Twelve bacterial isolates were obtained by pour plate technique and subjected to biofilm assay. Among the 12 isolates three isolates which showed maximum biofilm formation were subjected to molecular characterizationby 16S rrNA gene sequencing method. The isolates were identified as Pychrobacter celer, Pychrobacter alimentarius and Kocuria rhizophila. The EPS produced by the three biofilm forming bacteria was extracted and the protein and carbohydrate content determined. Among the isolates screened, isolate 8 (Kocuria rhizophila) produced maximum protein and carbohydrate which was also in accordance with the results of microtiter plate assay.

关键词： biofilm, MTP assay, extracellular polymeric substances, 16S rrNA gene sequencing, Psychrobacter, Kocuria

Modeling and simulation of centroid and inversion charge density in cylindrical surrounding gate MOSFETs including quantum effects

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Journal of Semiconductors 2013年第11期34卷 25-30页

作者： P.vimala N.B.Balamurugan Department of Electronics and Communication Engineering Thiagarajar College of Engineering

An analytical model for surrounding gate metal-oxide-semiconductor field effect transistors （MOS- FETs） considering quantum effects is presented. To achieve this goal, we have used a variational approach for solving the Poisson and Schrodinger equations. This model is developed to provide an analytical expression for the inversion charge distribution function for all regions of the device operation. This expression is used to calculate the other important parameters like the inversion charge centroid, threshold voltage and inversion charge density. The calculated expressions for the above parameters are simple and accurate. The validity of this model was checked for the devices with different device dimensions and bias voltages. The calculated results are compared with the simulation results and they show good agreement.

关键词： surrounding gate MOSFETs energy quantization centroid inversion charge density

Modeling and simulation of nanoscale tri-gate MOSFETs including quantum effects

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Journal of Semiconductors 2014年第3期35卷 20-24页

作者： P.vimala N.B.Balamurugan Department of Electronics and Communication Engineering Thiagarajar College of Engineering

Quantum effects are predominant in tri-gate MOSFETs, so a model should be developed. For the first time, this paper presents the analytical model for quantization effects of thin film silicon tri-gate MOSFETs by using variational approach. An analytical expression of the inversion charge distribution function（ICDF） or wave function for the tri-gate MOSFETs has been obtained. This obtained ICDF is used to calculate the important device parameters, such as the inversion charge centroid and inversion charge density. The results are validated against with the simulation data.

关键词： device modeling energy quantization inversion charge density Poisson–Schrdinger equation trigate MOSFET

Quantum mechanical compact modeling of symmetric double-gate MOSFETs using variational approach

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Journal of Semiconductors 2012年第3期33卷 15-19页

作者： P.vimala N.B.Balamurugan Department of Electronics and Communication Engineering Thiagarajar College of EngineeringMadurai-625015TamilnaduIndia

A physics-based analytical model for symmetrically biased double-gate（DG） MOSFETs considering quantum mechanical effects is ***＇s and Poisson＇s equations are solved simultaneously using a variational *** the Poisson and Schrodinger equations simultaneously reveals quantum mechanical effects（QME） that influence the performance of DG *** inversion charge and electrical potential distributions perpendicular to the channel are expressed in closed *** systematically evaluated and analyzed the potentials and inversion charges,taking QME into consideration,in Si based double gate *** effect of silicon thickness variation in inversion-layer charge and potentials are quantitatively *** analytical solutions provide good physical insight into the quantization caused by quantum confinement under various gate biases.

关键词： quantum mechanical effects DG MOSFETs centroid electric potential inversion-layer charge

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 713-732页

作者： Petr Opela Josef Walek Jaromír Kopecek Department of Metallurgical Technologies Faculty of Materials Science and TechnologyVSB–Technical University of OstravaOstrava70800Czech Republic FZU—Institute of Physics of the Czech Academy of Sciences Prague18200Czech Republic

In engineering practice,it is often necessary to determine functional relationships between dependent and independent *** relationships can be highly nonlinear,and classical regression approaches cannot always provide sufficiently reliable ***,Machine Learning(ML)techniques,which offer advanced regression tools to address complicated engineering issues,have been developed and widely *** study investigates the selected ML techniques to evaluate their suitability for application in the hot deformation behavior of metallic *** ML-based regression methods of Artificial Neural Networks(ANNs),Support Vector Machine(SVM),Decision Tree regression(DTr),and Gaussian Process regression(GPr)are applied to mathematically describe hot flow stress curve datasets acquired experimentally for a medium-carbon *** the GPr method has not been used for such a regression task before,the results showed that its performance is the most favorable and practically unrivaled;neither the ANN method nor the other studied ML techniques provide such precise results of the solved regression analysis.

关键词： Machine learning Gaussian process regression artificial neural networks support vector machine hot deformation behavior