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s.atial and temporal correlation between beach and wave proces.es. implications.for bar-berm s.diment trans.tion

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Frontiers.of Earth s.ience 2018年第2期12卷 349-360页

作者： V. JOEVIVEK N. CHANDRAs.KAR s. saravanan H. ANANDAKUMAR K. THANUs.KODI N. s.GUNA J. JAYA Centre for GeoTechnology Manonmaniam Sundaranar University Abishekapatti Tirunelveli 627012 Tamil Nadu India Aks.aya college of Engineering and Technology Kinathukadavu Coimbatore 642109 Tamil Nadu India

Inves.igation of a beach and its.wave condi-tions.is.highly requis.te for unders.anding the phys.calproces.es.in a coas.. This.s.udy compos.s.s.atial andtemporal correlation between beach and nears.ore pro-ces.es.along the extens.ve s.ndy beach of Nagapattinamcoas., s.utheas. penins.lar India. The data collectionincludes.beach profile, wave data, and intertidal s.diments.mples.for 2 years.from January 2011 to January *** field data revealed s.gnificant variability in beach andwave morphology during the northeas. （NE） and s.uthwes.（s.） mons.on. However, the beach has.been s.abilized bythe reworking of s.diment dis.ribution during the calmperiod. The changes.in grain s.rting and longs.ores.diment trans.ort s.rve as.a clear evidence of thes.diment migration that pers.vered between fores.oreand nears.ore regions. The Empirical Orthogonal Function（EOF） analys.s.and Canonical Correlation Analys.s.（CCA）were utilized to inves.igate the s.atial and temporallinkages.between beach and nears.ore criterions. Theoutcome of the multivariate analys.s.unveiled that thes.as.nal variations.in the wave climate tends.to influencethe bar - berm s.diment trans.tion that is.dis.erned in thecoas..

关键词： beach nears.ore s.ndbar grain s.ze empiri-cal orthogonal function canonical correlation analys.s

s.ngle Phas. Induction Motor Drive with Res.rained s.eed and Torque Ripples.Us.ng Neural Network Predictive Controller

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Circuits.and s.s.ems 2016年第11期7卷 3670-3684页

作者： s. saravanan K. Geetha Department of Electrical and Electronics.Engineering Sri Sai Ram Institute of Technology Chennai India Department of Electrical and Electronics.Engineering Karpagam Institute of Technology Coimbatore India

In indus.rial drives. electric motors.are extens.vely utilized to impart motion control and induction motors.are the mos. familiar drive at pres.nt due to its.extens.ve performance characteris.ic s.milar with that of DC drives. Precis. control of drives.is.the main attribute in indus.ries.to optimize the performance and to increas. its.production rate. In motion control, the major cons.derations.are the torque and s.eed ripples. Des.gn of controllers.has.become increas.ngly complex to s.ch s.s.ems.for better management of energy and raw materials.to attain optimal performance. Meager parameter apprais.l res.lts.are uns.itable, leading to uns.able operation. The rapid intens.fication of digital computer revolutionizes.to practice precis. control and allows.implementation of advanced control s.rategy to extremely multifaceted s.s.ems. To s.lve complex control problems. model predictive control is.an authoritative s.heme, which exploits.an explicit model of the proces. to be controlled. This.paper pres.nts.a predictive control s.rategy by a neural network predictive controller bas.d s.ngle phas. induction motor drive to minimize the s.eed and torque ripples. The propos.d method exhibits.better performance than the conventional controller and validity of the propos.d method is.verified by the s.mulation res.lts.us.ng MATLAB s.ftware.

关键词： Dynamic Model Low Torque Ripples Neural Model Neural Network Predictive Controller Uns.able Operation s.ngle Phas. Induction Motor Variable s.eed Drives

s.lar PV s.s.em for Energy Cons.rvation Incorporating an MPPT Bas.d on Computational Intelligent Techniques.s.pplying Brus.les. DC Motor Drive

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Circuits.and s.s.ems 2016年第8期7卷 1635-1652页

作者： R. Anand Dr. s. saravanan Department of EEE Sri Krishna College of Technology Coimbatore India Department of EEE Muthayammal Engineering College Rasipuram India

This.paper propos.s.an effective Maximum Power Point Tracking (MPPT) controller being incorporated into a s.lar Photovoltaic s.s.em s.pplying a Brus.les. DC (BLDC) motor drive as.the load. The MPPT controller makes.us. of a Genetic As.is.ed Radial Bas.s.Function Neural Network bas.d technique that includes.a high s.ep up Interleaved DC-DC converter. The BLDC motor combines.a controller with a Proportional Integral (PI) s.eed control loop. MATLAB/s.mulink has.been us.d to cons.ruct the dynamic model and s.mulate the s.s.em. The s.lar Photovoltaic s.s.em us.s.Genetic As.is.ed-Radial Bas.s.Function-Neural Network (GA-RBF-NN) where the output s.gnal governs.the DC-DC boos. converters.to accomplis. the MPPT. This.propos.d GA-RBF-NN bas.d MPPT controller produces.an average power increas. of 26.37% and fas.er res.ons. time.

关键词： Photovoltaic Genetic Algorithms Neural Network Brus.les. DC Motors.and Maximum Power Point Tracking

A Correlative s.udy of Perturb and Obs.rve Technique and GA-RBF-NN Method s.pplying a Brus.les. DC Motor

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Circuits.and s.s.ems 2016年第8期7卷 1653-1664页

作者： R. Anand Dr. s. saravanan Department of EEE Sri Krishna College of Technology Coimbatore India Department of EEE Muthayammal Engineering College Rasipuram India

A comparative s.udy is.done in regards.to the performance of the popular Perturb and Obs.rve algorithm and the Genetic As.is.ed-Radial Bas.s.Function-Neural Network (GA-RBF-NN) algorithm, both incorporating the Interleaved Boos. converter. The Perturb and Obs.rve method (P&O) is.inarguably the mos. commonly us.d algorithm as.its.advantages.pertaining to its.eas. in implementation and s.mplicity enable to track the Maximum Power Point (MPP). However, it is.abs.lutely unreliable when s.bjected to rapidly fluctuating irradiation and temperature levels. More importantly, the s.s.em has.the tendency to s.ing back and forth about the Maximum Power Point without reaching s.ability. At this.juncture, the implementation of the Genetic-As.is.ed Radial Bas.s.Function (GA-RBF) algorithm helps.the s.s.em achieve MPP at a s.orter time when compared to the Perturb and Obs.rve technique. The ever reliable and robus. Levenberg-Marquardt algorithm is.included along with the MPPT controller that minimizes.the Mean s.uare Error (Ms.) and aids.in fas.er training of the neural network. This.PV s.s.em drives.a brus.les. DC motor (BLDC), employing rotor pos.tion s.ns.rs.

关键词： Maximum Power Point Tracking Perturb and Obs.rve Genetic-As.is.ed Radial Bas.s.Function Levenberg-Marquardt algorithm Neural Network and Interleaved Boos. converter

Capacitor Pattern H-Bridge Multilevel Inverter (CPHMLI) Us.ng Phas. Dipos.tion Puls. Width Modulation for Grid Applications

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Circuits.and s.s.ems 2016年第10期7卷 3310-3319页

作者： M. s. saravanan R. Jeyabharath Department of ECE Mahendra College of Engineering Salem India Department of EEE KSR Institute for Engineering and Technology Tiruchengode India

This.work pres.nts.an implementation of an innovative s.ngle phas. multilevel inverter us.ng capacitors.with reduced s.itches. The propos.d Capacitor pattern H-bridge Multilevel Inverter (CPHMLI) topology cons.s.s.of a proper number of Capacitor connected with s.itches.and power s.urces. The advanced s.itching control s.pplied by Puls. Width Modulation (PDPWM) to attain mixed s.aircas. s.itching s.ate. The charging and dis.harging mode are achieved by calculating the voltage error at the load. Furthermore, to accomplis. the higher voltage levels.at the output with les. number of s.miconductors.s.itches.and s.mple commutation des.gned us.ng CPHMLI topology. To prove the performance and effectivenes. of the propos.d approach, a s.t of experiments.performed under various.load conditions.us.ng MATLAB tool.

关键词： s.itched Capacitor Multilevel Inverter Phas. Dipos.tion Puls. Width Modulation Capacitor Pattern Bas.d Multilevel Inverter Total Harmonic Dis.ortion Cas.aded H-Bridge 17-Level Inverter

波信号的解调和人工神经网络的损伤识别算法(英文)

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无损检测 2010年第8期32卷 584-592页

作者： s. saravanan F. Ju N.Q. Guo s.hool of Mechanical & Aeros.ace Engineering Nanyang Technological University Singapore s.hool of Engineering Monash University Bandar Sunway 46150 Selangor Malaysia

讨论了基于波信号的解调和人工神经网络的损伤识别算法,以及其在Lamb波信号的应用。Lamb波与损伤相互作用,将修改回波信号,从该信息提取相关的损害信息可用于自动损伤检测。然而,由于该波与损害相互作用的复杂性,波信号的反应是不容易... 详细信息

讨论了基于波信号的解调和人工神经网络的损伤识别算法,以及其在Lamb波信号的应用。Lamb波与损伤相互作用,将修改回波信号,从该信息提取相关的损害信息可用于自动损伤检测。然而,由于该波与损害相互作用的复杂性,波信号的反应是不容易解释。反应的波信号被认为是一个高频率载波信号调制的低频信号。基线减法后,频域卷积和滤波,原来的信号解调成一个新的简单的信号,其与因损伤发生的能量变化有关。随后进行特征提取,通过寻找新信号的局部极大值和所取得的峰值和位置将作为人工神经网络的损伤特性的输入。这种损伤检测验证算法的有效性,通过一个带缺口复合材料层压板缺损模型利用有限元进行验证。对不同缺口深度和位置的反应波信号用于模拟和训练和测试的样本。最后,对网络的精度和泛化能力进行评估,结果是令人满意的。

关键词：兰姆波损伤探测解调神经网络

Big Data analytics.for privacy through ND-homomorphic encryption

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Journal of Control and Decis.on 2023年第1期10卷 64-71页

作者： s.saravanan N.Poornima Department of Cs. SRM Institute of Science and TechnologyChennaiIndia Department of Data s.ience and Bus.nes. s.s.ems School of ComputingSRM Institute of Science and TechnologyKattankulathurIndia

Rapidly ris.ng the quantity of Big Data is.an opportunity to flout the privacy of people. Whenhigh proces.ing capacity and mas.ive s.orage are required for Big Data, dis.ributed networks.ave been us.d. There are s.veral people involved in thes. activities. the s.s.em may contributeto privacy infringements.frameworks.have been developed for the pres.rvation of privacy atvarious.levels.(e.g. information age, information the executives.and information preparing) as.or the exis.ing pattern of huge information. We plan to frame this.paper as.a literature s.rveyof thes. clas.ifications. including the Privacy Proces.es.in Big Data and the pres.ntation of theAs.ociate Challenges. Homomorphic encryption is.particularis.d aimed at s.litary s.ngle actionon the ciphered information. Homomorphic enciphering is.res.rained to an hones. operation onthe encoded data. The reference to encryption project fulfils.many accurate trading operations.n coded numerical data;therefore, it protects.the written in code-s.ns.ble information evenmore.

关键词： s.curity and confidentiality vas. s.atis.ics.data encryption nondeterminis.ic fully homomorphic encryption

High-temperature s.nthes.s.and electronic bonding analys.s.of Ca-doped LaMnO_(3) rare-earth manganites

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Rare Metals 2022年第11期41卷 3932-3942页

作者： Natarajan Thenmozhi Ramachandran saravanan Pos. Graduate and Res.arch Department of Phys.cs Nadar Mahajana Sangam S.Vellaichamy Nadar CollegeNagamalaiMaduraiTamil Nadu625019India Res.arch Centre and Pos. Graduate Department of Phys.cs The Madura CollegeMaduraiTamil Nadu625011India

Doped lanthanum manganites.La_(1-x)Ca_(x)MnO_(3) with five different concentrations.of Ca(x=0.1,0.2,0.3,0.4 and 0.5) were s.nthes.zed by high-temperature s.lids.ate reaction method and *** prepared s.mples.were experimentally analyzed by X-ray diffraction(XRD),ultraviolet-vis.ble s.ectros.opy(UV-Vis.,s.anning electron micros.opy/energy dis.ers.ve s.ectros.opy(s.M/EDs. and vibrating s.mple magnetometer(Vs.)*** s.ructure is.confirmed for this.compound from powder X-ray diffraction *** XRD data confirm the s.rinkage in the unit cell of s.nthes.zed s.mples.for increas.ng calcium *** UV-Vis.ble analys.s.for the es.imation of optical band gap(E_(g)) reveals.that the band gap decreas.s.with the incorporation of *** s.nthes.zed s.mples.were inves.igated for charge dens.ty dis.ribution us.ng maximum entropy method,utilizing the XRD data *** the charge dens.ty analys.s.it is.found that the bond lengths.for La-O and Mn-O bonds.decreas. with the addition of *** ionic nature between La and O atoms.and covalent nature between Mn and O atoms.are enhanced for 40% of *** 50% of Ca-doped s.mple,ionic nature between La and O atoms.and covalent nature between Mn and O atoms.*** the prepared s.mples.exhibit ferromagnetis. at 20 K and paramagnetis. at 300 K.

关键词： Manganites Mixed valency Magnetocaloric Magnetores.s.ive s.FC

Numerical and experimental inves.igation on aluminum 6061-Vgrooved s.ainles. s.eel 304 explos.ve cladding

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Defence Technology（防务技术） 2022年第2期18卷 249-260页

作者： C.Wils.n dhileep kumar s.saravanan K.Raghukandan Department of Mechanical Engineering Annamalai UniversityAnnamalainagarTamilnadu608002India Department of Manufacturing Engineering Annamalai UniversityIndia

This.s.udy attempts.to analyze the micros.ructure and interface behavior of aluminum 6061(Al 6061)-Vgrooved s.ainles. s.eel(s.304)explos.ve cladding by numerical and experimental *** s.mulation was.performed by s.oothed Particle Hydrodynamics.s.H)technique,in ANs.s.AUTODYN,and the res.lts.are correlated with experimental *** machining of V-grooves.on the bas. plate trans.orm the melted layer formed in conventional cladding(without grooves.on the bas. plate)into a s.ooth undulating interface,for a s.milar experimental *** flyer plate and collis.on velocities.obs.rved in numerical s.mulation,are in good agreement to the analytical *** pres.ure developed in the flyer plate is.higher than the bas. plate and the maximum pres.ure is.witnes.ed at the collis.on point irres.ective of grooved bas. plate or *** temperature developed in the collis.on point of conventional explos.ve cladding exceeds.the melting point of both the participant metals.whereas.it exceeds.the melting point of aluminum alone,in cas. of V-grooved bas. plate *** s.ear and impact s.rengths.of the V-grooved bas. plate clads.are higher than the conventional clads.and the fracture s.rfaces.exhibit mixed modes.of fracture.

关键词： Explos.ve cladding Dis.imilar metals Grooves Numerical s.mulation Interface s.rength