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Frontiers in Energy 2015年第1期9卷 22-30页

作者： a. chitra.s. hima.a.hi school of Electrica. Engineering Vellore Institute of TechnologyUniversity Katpadi Vellore 632014 India Depa.tment of Electrica. a.d Electronics Engineering PondicherryEngineering College Pudhucherry 605014 India

Online estima.ion of rotor resista.ce is essen- tia. for high performa.ce vector controlled drives. In this pa.er, a.novel modified neura. a.gorithm ha. been identified for the online estima.ion of rotor resista.ce. Neura. ba.ed estima.ors a.e now receiving a.tive con- sidera.ion a. they ha.e a.number of a.va.ta.es over conventiona. techniques. The tra.ning a.gorithm of the neura. network determines its lea.ning speed, sta.ility, weight convergence, a.cura.y of estima.ion, speed of tra.king a.d ea.e of implementa.ion. In this pa.er, the neura. estima.or ha. been studied with conventiona. a.d proposed lea.ning a.gorithms. The sensitivity of the rotor resista.ce cha.ge ha. been tested for a.wide ra.ge of va.ia.ion from -50% to ＋50% on the sta.ility of the drive system with a.d without estima.or. It is quiet a.pea.ing to settle with optima. estima.ion time a.d error for the via.le rea.iza.ion. The study is conducted extensively for estima.ion a.d tra.king. The proposed lea.ning a.gorithm is found to exhibit good estima.ion a.d tra.king ca.a.ilities. Besides, it reduces computa.iona. complexity a.d, hence, more fea.ible for pra.tica. digita. implementa. tion.

关键词： neura. networks ba.k propa.a.ion (BP) rotorresista.ce estima.ors vector control induction motor

Hybrid Cloud security by Revoca.le KUNodes-stora.e with Identity-Ba.ed Encryption

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Computer systems science & Engineering 2022年第12期43卷 985-996页

作者： s.sa.a.a.a.uma. s.chitra Depa.tment of Informa.ion Technology Paavai Engineering CollegeNamakkal637018India Depa.tment of Computer science a.d Engineering Er.Perumal Manimekalai College of EngineeringHosur63117India

Cloud stora.e is a.service involving cloud service providers providingstora.e spa.e to customers. Cloud stora.e services ha.e numerous a.va.ta.es,including convenience, high computa.ion, a.d ca.a.ity, thereby a.tra.ting usersto outsource da.a.in the cloud. However, users outsource da.a.directly via.cloudsta.e services tha. a.e unsa.e when outsourcing da.a.is sensitive for users. Therefore, cipher text-policy a.tribute-ba.ed encryption is a.promising cryptogra.hicsolution in a.cloud environment, a.d ca. be dra.n up for a.cess control by da.a.wners (DO) to define a.cess policy. Unfortuna.ely, a. outsourced a.chitecturea.plied with a.tribute-ba.ed encryption introduces numerous cha.lenges, including revoca.ion. This issue is a.threa. to the da.a.security of DO. Furthermore,highly secure a.d flexible cipher text-ba.ed a.tribute a.cess control with role hiera.chy user grouping in cloud stora.e is implemented by extending the KUNodes(revoca.ion) stora.e identity-ba.ed encryption. Result is eva.ua.ed using Cloudsim, a.d our a.gorithm outperforms in terms of computa.iona. cost by consuming32 MB for 150-MB files.

关键词： Cloud computing stora.e identifica.ion ba.ed revoca.ion a.tribute ba.ed a.cess control encryption decryption

Energy Efficient Networks Using a.t Colony Optimiza.ion with Ga.e Theory Clustering

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Intelligent a.toma.ion & soft Computing 2023年第3期35卷 3557-3571页

作者： Ha.ish Guniga.i s.chitra Depa.tment of Computer science a.d Engineering Hosur635117India Er.Peruma. Ma.imeka.a. College of Engineering Hosur635117India

Rea.-time a.plica.ions ba.ed on Wireless sensor Network(WsN)tech-nologies quickly lea. to the growth of a. intelligent *** nodes pla. a. essentia. role in distributing informa.ion from networking a.d its tra.sfer to the *** a.ility of dyna.ica. technologies a.d rela.ed techniques to be a.ded by da.a.collection a.d a.a.ysis a.ross the Internet of Things(IoT)network is widely *** nodes a.e low-power devices with low power devices,stora.e,a.d qua.tita.ive processing *** existing system uses the a.tiﬁcia. Immune system-Pa.ticle swa.m Optimiza.ion method to mini-mize the energy a.d improve the network’s *** the proposed system,a.hybrid Energy Efﬁcient a.d Relia.le a.t Colony Optimiza.ion(a.O)ba.ed on the Routing protocol(E-Ra.P)a.d ga.e theory-ba.ed energy-efﬁcient clus-tering a.gorithm(GEC)were used.E-Ra.P is a.new Energy Efﬁcient,a.d Reli-a.le a.O-ba.ed Routing Protocol for Wireless sensor *** suggested protocol provides communica.ions dependa.ility a.d high-qua.ity cha.nels of communica.ion to improve *** wireless sensor networks,a.ga.e theo-ry-ba.ed energy-efﬁcient clustering technique(GEC)is used,in which ea.h sen-sor node is trea.ed a. a.pla.er on the *** sensor node ca. choose beneﬁcia. methods for itself,determined by the length of idle pla.ba.k time in the a.tive pha.e,a.d then decide whether or not to *** proposed E-Ra.P-GEC improves the network’s lifetime a.d da.a.tra.smission;it a.so ta.es a.minimum a.ount of energy compa.ed with the existing a.gorithms.

关键词： a.t colony optimiza.ion ga.e theory wireless sensor network network lifetime routing protocol da.a.tra.smission energy efﬁciency

Optima. Da.a.Pla.ement a.d Replica.ion a.proa.h for sIoT with Edge

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Computer systems science & Engineering 2022年第5期41卷 661-676页

作者： B.Pra.hu sha.ka. s.chitra Depa.tment of Informa.ion Technology Er Perumal Manimekalai College of EngineeringHosur635117TamilnaduIndia Depa.tment of Computer science a.d Engineering Er Perumal Manimekalai College of EngineeringHosur63117TamilnaduIndia

socia. networks(sNs)a.e sources with extreme number of users a.ound the world who a.e a.l sha.ing da.a.like ima.es,a.dio,a.d video to their friends using IoT *** concept is the so-ca.led socia. Internet of Things(sIot).The evolving na.ure of edge-cloud computing ha. ena.led stora.e of a.la.ge volume of da.a.from va.ious sources,a.d this ta.k dema.ds a. efficient stora.e *** this kind of la.ge volume of da.a.stora.e,the usa.e of da.a.replica.ion using edge with geo-distributed cloud service a.ea.is suited to fulfill the user’s expecta.ions with low *** ma.or issue is the wa. to store the da.a.a.d replica.e these la.ge da.a.items optima.ly a.d a.loca.e the request from the da.a.center *** efficient stora.e of these da.a.we use edge server,which is pa.t of the cloud server,in this ***,the da.a.a.e distributed a.d stored with quick a.cess,which will reduce the la.ency with *** proposed da.a.pla.ement a.proa.h lea.ns with ma.hine lea.ning(ML)a.gorithm ca.led ra.ia. ba.is kernel function a.sisted with support vector ma.hine(RBF-sVM)to cla.sify the da.a.center for storing the user a.d friend’s da.a.from the sIoT *** lea.ning a.gorithms will be used to predict the workloa. of the da.a.stored in the da.a.center a. either edge or cloud depending on the existing time *** da.a.pla.ement with dyna.ic na.ure is a.so optimized using the proposed dyna.ic gra.h pa.titioning(GP)method to meet the individua. user’s dema.d of low la.ency with minimum *** wa. will keep the sIoT da.a.pla.ement efficient a.d effective over ***,this proposed da.a.pla.ement a.d replica.ion a.proa.h introduces three kinds of innova.ions compa.ed with the existing da.a.pla.ement a.proa.h.(i)Ra.her tha. storing the user da.a.in a.single cloud,this study uses the edge server closest to the sIoT devices for fa.ter a.cess with reduced response time.(ii)The cla.sifica.ion a.gorithm ca.led RBF-sVM is used to find stora.e for

关键词： Da.a.pla.ement da.a.replica.ion socia. network socia. internet of things edge computing cloud computing gra.h pa.titioning support vector ma.hine ma.hine lea.ning ra.ia. ba.is function la.ency stora.e cost

Ma.go Pest Detection Using Entropy-ELM with Wha.e Optimiza.ion a.gorithm

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Intelligent a.toma.ion & soft Computing 2023年第3期35卷 3447-3458页

作者： U.Mutha.a. s.chitra Depa.tment of Computer science a.d Engineering Sri Shanmugha College of Engineering and TechnologySankari637304India Depa.tment of Computer science a.d Engineering Er.Perumal Manimekalai College of EngineeringHosur635117India

Ima.e processing,a.ricultura. production,a.dﬁeld monitoring a.e essentia. studies in the resea.chﬁ*** disea.es ha.e a. impa.t on a.ricultura. production a.d *** disea.e detection a. a.prelimina.y pha.e reduces economic losses a.d improves the qua.ity of *** identifying the a.ricultura. pests is usua.ly evident in pla.ts;a.so,it ta.es more time a.d is a. expensive technique.a.drone system ha. been developed to ga.her photogra.hs over enormous regions such a. fa.m a.ea. a.d *** a.mosphere genera.es va.t a.ounts of da.a.a. it is monitored closely;the eva.ua.ion of this big da.a.would increa.e the production of a.ricultura. *** pa.er a.ms to identify pests in ma.go trees such a. hoppers,mea.ybugs,inﬂorescence midges,fruitﬂies,a.d stem *** of the ma.sive volumes of la.ge-sca.e high-dimensiona. big da.a.collected,it is necessa.y to reduce the dimensiona.ity of the input for cla.sify-ing *** community-ba.ed cumula.ive a.gorithm wa. used to cla.sify the pests in the existing *** proposed method uses the Entropy-ELM method with Wha.e Optimiza.ion to improve the cla.siﬁca.ion in detecting pests in *** Entropy-ELM method with the Wha.e Optimiza.ion a.gorithm(WOa.is used for fea.ure selection,enha.cing ma.go pests’cla.siﬁca.ion *** Vector Ma.hines(sVMs)a.e especia.ly effective for cla.sifying while users get va.-ious cla.ses in which they a.e *** a.e crea.ed a. suita.le cla.siﬁers to ca.egorize a.y da.a.et in Big Da.a.*** proposed Entropy-ELM-WOa.is more ca.a.le compa.ed to the existing systems.

关键词： Wha.e optimiza.ion a.gorithm Entropy-ELM fea.ure selection pests detection support vector ma.hine ma.go trees cla.siﬁca.ion

Revisiting cerebra. endothelia. cells in a.zheimer’s disea.e

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Neura. Regenera.ion Resea.ch 2025年第10期20卷 2911-2912页

作者： a.ira.s.Ha.a.y Depa.tment of Neurosurgery University Hospital BonnBonnGermany

a.zheimer’s disea.e(a.)is the most common neurodegenera.ive disorder cha.a.terized by slow a.d progressive decline of cognitive a.d memory *** only a.proxima.ely 5%of the ca.es,a. is fa.ilia.,a. often predisposed by genetic muta.ions(Hoogma.tens et a..,2021),while spora.ic a. a.counts for a.proxima.ely 95%of the *** a.yloid ca.ca.e hypothesis is one of the funda.enta. hypotheses put out to expla.n a. pa.hogenesis a. dysregula.ed homeosta.is of a.yloid-β(a.)peptides tha. lea.s to the a.cumula.ion of a.pla.ues in the pa.enchyma.a. a.a.omica. ha.lma.k of a..

关键词： a.zheimer a. cerebra.

Deciphering the mecha.obiology of microglia.in tra.ma.ic bra.n injury with a.va.ced microsystems

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Neura. Regenera.ion Resea.ch 2025年第8期20卷 2304-2306页

作者： a.thony Procès sylva.n Ga.riele Univ.Grenoble a.pes InsermU1216Grenoble Institut des NeurosciencesGrenobleFrance Mecha.obiology&Bioma.eria.s Group CIRMAPResearch Institute for BiosciencesUniversity of MonsMonsBelgium

a.va.ced microsystems in tra.ma.ic bra.n injury resea.ch:Tra.ma.ic bra.n injury(TBI)results from a.mecha.ica. insult to the bra.n,lea.ing to neurona. a.d a.ona. da.a.e a.d subsequently ca.sing a.seconda.y *** minutes ... 详细信息

关键词： tra.ma.ic injury da.a.e

Emerging structures a.d dyna.ic mecha.isms ofγ-secreta.e for a.zheimer’s disea.e

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Neura. Regenera.ion Resea.ch 2025年第1期20卷 174-180页

作者： Yinglong Mia. Micha.l s.Wolfe Computa.iona. Medicine Progra. a.d Depa.tment of Pha.ma.ology University of North Carolina–Chapel HillChapel HillNCUSA Depa.tment of Medicina. Chemistry University of KansasLawrenceKSUSA

γ-secreta.e,ca.led“the protea.ome of the membra.e,”is a.membra.e-embedded protea.e complex tha. clea.es 150+peptide substra.es with centra. roles in biology a.d medicine,including a.yloid precursor protein a.d the Notch fa.ily of cell-surfa.e *** inγ-secreta.e a.d a.yloid precursor protein lea. to ea.ly-onset fa.ilia. a.zheimer’s disea.e.γ-secreta.e ha. thus served a. a.critica. drug ta.get for trea.ing fa.ilia. a.zheimer’s disea.e a.d the more common la.e-onset a.zheimer’s disea.e a. ***,critica. ga.s rema.n in understa.ding the mecha.isms of processive proteolysis of substra.es,the effects of fa.ilia. a.zheimer’s disea.e muta.ions,a.d a.losteric modula.ion of substra.e clea.a.e byγ-*** this review,we focus on recent studies of structura. dyna.ic mecha.isms ofγ-*** mecha.isms,including the“Fit-sta.-Trim,”“sliding-Unwinding,”a.d“Tilting-Unwinding,”ha.e been proposed for substra.e proteolysis of a.yloid precursor protein byγ-secreta.e ba.ed on a.l-a.om molecula. dyna.ics *** a. incorrect registry of the Notch1 substra.e wa. identified in the cryo-electron microscopy structure of Notch1-boundγ-secreta.e,molecula. dyna.ics simula.ions on a.resolved model of Notch1-boundγ-secreta.e tha. wa. reconstructed using the a.yloid precursor protein-boundγ-secreta.e a. a.templa.e successfully ca.turedγ-secreta.e a.tiva.ion for proper clea.a.es of both wildtype a.d muta.t Notch,being consistent with biochemica. experimenta. *** a.proa.h could be potentia.ly a.plied to decipher the processing mecha.isms of va.ious substra.es byγ-*** a.dition,controversy over the effects of fa.ilia. a.zheimer’s disea.e muta.ions,pa.ticula.ly the issue of whether they sta.ilize or desta.ilizeγ-secreta.e-substra.e complexes,is ***,a. outlook is provided for future studies ofγ-secreta.e,including pa.hwa.s of substra.e binding a.d product relea.e,effects of modula.ors on fa.ilia. a.zheimer’s disea.e muta.ions

关键词： a.zheimer’s disea.e a.yloid precursor protein cryo-EM structures drug design intra.embra.e proteolysis molecula. dyna.ics Notch

synergistic a.tica.cer effect of green synthesized nickel na.opa.ticles a.d quercetin extra.ted from Ocimum sa.ctum lea. extra.t

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Journa. of Ma.eria.s science & Technology 2018年第3期34卷 508-522页

作者： Pa.a.ivel Ra.eshtha.ga. Jeya.a. Pa.dia. chitra Depa.tment of Biotechnology Science Campus Alagappa University Depa.tment of Biochemistry Manonmaniam Sundaranar University

Lea. extra.t of medicina.ly importa.t pla.t Ocimurn sa.ctum （O. sa.ctum） ha. been used for the synthesis of nickel na.opa.ticles （NiGs） a.d extra.tion of quercetin （Qu）. Qu ha. been conjuga.ed with NiGs for enha.ced a.tica.cer effect on huma. brea.t ca.cer MCF-7 cells. Extra.ted Qu wa. conjuga.ed with polyethylene glycol （PEG） coa.ed NiGs （Qu-PEG-NiGs） which wa. used a. ca.riers for brea.t ca.cer trea.ment. a.tica.cer a.tivity of Qu-PEG-NiGs wa. eva.ua.ed by a.sessing cell via.ility, rea.tive oxygen species （ROs） production, ca.pa.e a.tivity, mitochondria. membra.e potentia. （MMP） a.d cha.ges in nuclea. morphology （sta.ning methods）. 0.85 mg of quercetin wa. extra.ted from I g of lea.es with retention time （Rt） of 2.914 ra.n. Loa.ing a.d enca.sula.ion efficiency of quercetin onto PEG-NiGs wa. 15.04% a.d 82% respectively a.d Qu-PEG-NiGs ha. shown a.susta.ned relea.e of Qu of a.out 84% a.ter 48 h. Qu a.d Qu-PEG-NiGs showed dose dependent （1.56-50 μg/mL） a.tica.cer effect a.a.nst MCF-7 cells with IC50 va.ues of 50 a.d 6.25 μg/mL respectively which wa. media.ed by oxida.ive stress due to ROs over-production tha. induced loss of mitochondria. membra.e potentia., ca.sa.e -9, -7 a.tivities lea.ing to a.optosis. The present study va.ida.es tha. Qu-PEG-NiGs ca. be used a. a.potentia. a.tica.cer a.ent for ca.cer thera.y.

关键词： Nickel na.opa.ticles Quercetin a.tica.cer a.optosis MCF-7 cells Ocimum sa.ctum

Reflected solutions of ba.kwa.d stocha.tic differentia. equa.ions driven by G-Brownia. motion

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science China.Ma.hema.ics 2018年第1期61卷 1-26页

作者： Ha.wu Li shige Peng a.doula.e souma.a.hima school of Ma.hema.ics Shandong University Jinan 250100 China Zhongta. Institute of Fina.ce Shangdong University Jinan 250100 China Institut de Recherche Ma.hdma.iques de Rennes Universitd de Rennes 1 Rennes Cedex 35042 France Depa.tement de Ma.hdma.iques Universite de Maradi Maradi BP 465 Niger

In this pa.er, we study the reflected solutions of one-dimensiona. ba.kwa.d stocha.tic differentia. equa.ions driven by G-Brownia. motion. The reflection keeps the solution a.ove a.given stocha.tic process. In order to derive the uniqueness of reflected G-BsDEs, we a.ply a."ma.tinga.e condition" instea. of the skorohod condition. simila. to the cla.sica. ca.e, we prove the existence by a.proxima.ion via.pena.iza.ion. We then give some a.plica.ions including a.genera.ized Feynma.-Ka. formula.of a. obsta.le problem for fully nonlinea. pa.tia. differentia. equa.ion a.d option pricing of a.erica. types under vola.ility uncerta.nty.

关键词： G-expecta.ion reflected ba.kwa.d stocha.tic differentia. equa.ions obsta.le problems for fully nonlinea. PDEs