ANALYZING OF FREE TRANSVERSE VIBRATION OF AN ELASTICALLY CONNECTED RECTANGULAR PLATE- MEMBRANCE SYSTEM WITH A PASTERNAK LAYER IN-BETWEEN

Size: px
Start display at page:

Download "ANALYZING OF FREE TRANSVERSE VIBRATION OF AN ELASTICALLY CONNECTED RECTANGULAR PLATE- MEMBRANCE SYSTEM WITH A PASTERNAK LAYER IN-BETWEEN"

Transcription

1 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co ANALYZIN OF FREE RANVERE VIBRAION OF AN ELAICALLY CONNECED RECANULAR PLAE- MEMBRANCE YEM IH A PAERNAK LAYER IN-BEEEN M. Nsrsho d N. Mohd Dpr of Mchcl Egrg Islc Azd Uvrs Prd Brch hr Ir E-Ml: hrddsrsho@gl.co ABRAC hs ppr horcll lzs fr rsvrs vros of lscll cocd rcgulr plr ss h Psr lr -. oluos of h prol r foruld usg h Nvr hod. Also url frqucs of h ss r drd. h ffc of Psr lr o h url frqucs of hs d ss s dscussd urcl pl. Icrsg shr foudo odulus of h Psr lr cuss crs h vlu of url frquc of h ss ω ; hovr hs fluc of h shr foudo odulus of h Psr lr s dffr so prculr frqucs. h s hs ffc s srogr ω frqucs rhr h h s s ω frqucs. h d ss hs rsg fur hch llos ch url frquc o chg s fuco of shr foudo odulus of h Psr lr hls ohr cosrucol d phscl prrs of h ss c r uchgd. h por rsul o hch hs ppr pus phsz s h h guds of h frqucs co lrgr h crsg shr foudo odulus of h Psr lr d h Psr lr c crs h gud of frqucs or h lr lsc lr c. hus h Psr lr c usd sd of lr lsc lr o or ffcvl supprss h cssv vros ssocd h plr sss. Nurcl rsuls of h prs hod r vrfd oc coprd h hos vll h lrur. Kords: fr rsvrs vro rcgulr pl-rc ss r so Psr lr Nvr hod.. INRODUCION rucurl rs such s pl-p p srucurs d of o prlll spl suppord pls s couousl jod lr lsc lr p lr r crsgl usd roucl chcl d cvl grg pplcos. As r of fc h phoo of rsvrs vro d dcl prols of such sss hs d pplco grg prcc. I clsscl vro pl hor o sc d ll o lcl hods r ppld for lzg fr vros of sgl rcgulr pl l h Lv d Nvr hods. uch srucurs hv svl covrd vsgors. Zhg l. 8 sudd vro d uclg of doul- ss udr coprssv l lodg. h vsgd h proprs of fr rsvrs vro d uclg of doul- ss udr coprssv l lodg o h ss of h Broull-Eulr hor. h ssud h h o s of h ss r spl suppord d couousl jod lr lsc lr. h drvd plc prssos for h url frqucs. h lso od h ssocd plud ros of h o s d h lcl soluo of h crcl uclg lod. h shod h h crcl uclg lod of h ss s rld o h l coprsso ro of h o s d h lr lsc lr d h proprs of fr rsvrs vro of h ss grl dpd o h l coprssos. h lso sudd ffc of coprssv l lod o forcd rsvrs vros of doul- ohr ppr Zhg l. 8. h ffcs of coprssv l lod o h forcd vros of h doul- ss r dscussd for o css of prculr co lodgs d h proprs of h forcd rsvrs vros of h ss r foud o sgfcl dpd o h coprssv l lod. ojovc d Kozc cosdrd forcd rsvrs vro d uclg of Rlgh d osho doul- ss couousl jod lr lsc lr udr coprssv l lodg. I hr ppr dflcos of h s sd o h osho hor r sho d grl soluos of forcd vros of s sujcd o rrrl dsru couous lods r foud. h lcl soluo of forcd vro h ssocd plud ros s drd. Also dc rsposs of h ss cusd rrrl dsrud couous lods r od. Vros cusd hroc cg forcs r dscussd d codos of rsoc d dc vro sorpo r foruld. Oszczu 3 horcll lzd udpd fr rsvrs vros of lscll cocd rcgulr pl-r ss h lr lsc lr -. oluos of h prol 585

2 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co r foruld usg h Nvr hod d url frqucs of h ss r drd h for of o f squcs. Also Norl od shps of vro prssg o ds of vro schroous d schroous r prsd. I urcl pl h ffc of r so o h url frqucs of hs d ss s dscussd. Forcd rsvrs vros of lscll cocd copl rcgulr spl suppord doulpl ss h lr lsc lr - s lso sudd Oszczu. Udpd oo of h ss cd rrrl dsrud couous lodgs ppld rsvrsl o oh pls s drvd sd o h Krchhoff-Lov pl hor. O h ss of grl soluos od hr prculr css of h co of cg sor hroc lods r cosdrd. h hvor of foudo rls grg prcc co rprsd foudo odl hch cosss of dpd lr lsc sprgs. I ordr o fd phscll clos d hcll spl foudo odl Psr proposd so-clld o-prr foudo odl h shr rcos. I p o fd phscll clos d hcll spl rprso of lsc foudo for hs rls Psr 95 proposd foudo odl cossg of lr foudo h shr rcos. hs ccoplshd cocg h ds of h vrcl sprgs o cossg of coprssl vrcl ls hch dfors ol rsvrs shr. I g l. 977 d D Ros 995 h url vro of osho o Psr-p foudo s sudd. Frquc quos r drvd for s h dffr d rsrs. A spcfc pl s gv o sho h ffcs of ror r shr dforo d foudo coss o h url frqucs of h. Fr rsvrs vros of lscll cocd rcgulr pl-r ss h Psr lr - r sudd h prs ppr. Fr rsvrs vros of hs d ss r sudd usg h Nvr hod.. FORMULAION OF HE PROBLEM Fgur- shos copl couous ss hch cosss of rcgulr hr-lrd srucur coposd of soropc pl d prlll r srchd uforl cos sos ppld h dgs d sprd h Psr lr. I s ssud h oh pls d r r h hoogous ufor d prfcl lsc. For h s of splc of vro lss s lso ssud h h pls s ll s h r r govrd spl suppord oudr codos. I h grl cs h ss s sujcd o rrrl dsrud rsvrs couous lods. Fgur-. h phscl odl of lscll cocd rcgulr pl-r copl ss h Psr lr -. Accordg o h Krchhoff-Lov pl hor rsvrs vros of lscll cocd rcgulr pl-r ss h Psr lr - r dscrd h follog dffrl quos: D N f f hr 3 D E h [ v ] h h suscrps d rfr o h pl d h r rspcvl. h oudr codos d l codos for h spl suppord pl d r r s follos: 586

3 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co d 3. OLUION OF HE FREE VIBRAION PROBLEM Fr vros of rcgulr pl-r ss s Fgur- r govrd h follog hoogous prl dffrl quos: N D 5 h ov quo ss h h oudr codos 3 c solvd h Nvr hod ssug soluos h follog for: s s s s 6 Also Y X Y X 3... s s s s 7 hr ssfs h corrspodg oudr codos 3 for h spl suppord pl d r s ll s h hoogous dffrl quos 5. Fgur-. h phscl odl of lscll cocd rcgulr pl-r ss h Psr lr - lzd for fr vros. usug soluos quos 6 o quos 5 gvs h follog prssos: ] [ ] [ N D 8 hr ] [. Fro hch s of ordr dffrl quos for h uo fucos s od 9 hr N D h soluos of quos 9 r s follos: D C Iroducg h o quos 9 rsuls ss of lgrc quos h uo coss of C d D : C D D C

4 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co For o-rvl soluos of h ov quos h dr of h ss coffc r s s qul o zro ldg h follog frquc quo: or [ D N ] { [ D N D N D N ] } 3 d hus h frquc quo hs o roos: { [ ] } h fucos c ssud o hv h follog fors C D C D C D 3 3 C D 5 or rgoorc for hr [ A s [ A s B B cos ] cos ] 6 D C D N A s B cos Fll h forcd vros of lscll cocd rcgulr pl r ss h Psr lr - c dscrd d s s [ A s B cos ] 8 Ad s s [ A s B cos ] 9 588

5 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co h uo coss A d B prssos 8 d 9 r clculd solvg h l-vlu prol. B ulplg h rlos 8 d 9 h g-fuco d usg orhogol codo l h grg h ldd s s d s s d c l l hr c cdd s d s d h susug soluos 8 d 9 o h l codos d h prforg h o usul rsforo procdur d pplg h orhogol codo h follog forul for vlug A d B r od: A B B A z z z z v v v v s s dd s s dd s s dd s s dd hr z z.5 c.5. NUMERICAL REUL AND DICUION I h follog h ffcs of shr foudo odulus of h Psr lr o h url frqucs of h ss r cosdrd. Vlus of h prrs chrcrzg proprs of h ss r sho l-. l-. Vlus of h prrs chrcrzg proprs of h ss. E h h 8 N 3 v N.3 5g g 5 3 g g 35 N N 3 Rsuls of h clculos for d r prsd ls- o 7 d Fgurs-3 o 8. I cs crsg N cuss crs. A vd fluc of shr foudo odulus of h Psr lr o h frqucs of h ss s osrvd d c s h h crsg h frqucs crs s ll. Hovr hs fluc of h r so d shr foudo odulus of h Psr lr s dffr o so prculr frqucs g srogr o frqucs hl r o h frqucs. If roduc h hol quos of hs ppr c o h vro quos of h pl-r ss h lr lsc lr - h rsuls of hch r vrfd coprg h hos vll Oszczu

6 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co l-. Nurl frqucs of h rcgulr pl-r ss s for. N l-3. Nurl frqucs of h rcgulr pl-r ss s for. N l-. Nurl frqucs of h rcgulr pl-r ss s for. N

7 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co l-5. Nurl frqucs of h rcgulr pl-r ss s for 3. 3 N l-6. Nurl frqucs of h rcgulr pl-r ss s for. N l-7. Nurl frqucs of h rcgulr pl-r ss s for 5. 5 N

8 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co Fgur-3. h url frqucs of h pl-r ss s fuco of r so N d. Fgur-5. h url frqucs of h pl-r ss s fuco of r so N d. Fgur-. h url frqucs of h pl-r ss s fuco of r so N d. Fgur-6. h url frqucs of h pl-r ss s fuco of r so N d

9 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co gr dc vro sorpo phoo. As s ll o vro sorpo c usd o supprss cssv forcd vro pluds. Fgur-7. h url frqucs of h pl-r ss s fuco of r so N d. 5. CONCLUDIN REMARK I hs sud fr rsvrs vros of lscll cocd rcgulr pl r ss h Psr lr - r horcll lzd. h vror ss odl cosdrd coprss hr-lrd srucur hch s coposd of h pl Psr lr - d prlll r srchd uforl sul cos sos ppld h dgs. h prol s solvd usg h Nvr hod. I should od h h url frqucs of h ss vrd chgg shr foudo odulus of h Psr lr hou h css o vr prrs chrcrzg phscl d gorcl proprs of h ss. hs possl s of gr prccl porc. Mguds of h frqucs co lrgr h h shr foudo odulus of h Psr crss d Psr lr c crs h guds of frqucs or h lr lsc lr c. hus ordr o supprss h cssv vros of corrspodg pl-r sss o c us Psr lr sd of lr lsc lr. h cosdrd ss hs rsg fur hch ls o chg ch url frquc h cr ld rvl s fuco of h r so d shr foudo odulus of h Psr lr ol. h propr corol of h r so d shr foudo odulus of h Psr lr s possl o vod rsoc phoo or o gr dc vro sorpo phoo for h ss sujcd o hroc lodgs. hs c hv sgfc pcs prccl pplcos. Noclur Fgur-8. h url frqucs of h pl-r ss s fuco of r so N d 5. I c s h h d ss dscussd hs rsg fur hch llos ch url frquc o chg s fuco of r so d shr foudo odulus of h Psr lr hls h ohr cosrucol d phscl prrs of h ss c r uchgd. lcg sul so of h r d shr foudo odulus of h Psr lr gvs dsrl vlus of h ss frqucs cr ld dos so h s possl for sc o vod rsoc pho or o f D E N rsvrs pl r dsplc Ecg dsrud lod pc co-ords Flurl rgd of h pl Youg s odulus of lsc of h pl Ufor cos so pr u lgh of h r lr foudo odulus hr foudo odulus 5853

10 VOL. NO. AUU 5 IN ARPN Jourl of Egrg d Appld ccs 6-5 As Rsrch Pulshg Nor ARPN. All rghs rsrvd..rpjourls.co v h l Pl r dsos Posso s ro Mss ds Uo fucos Ko od shp fucos Prl frquc of h ss Couplg frquc of h ss Nurl frquc of h ss Krocr dl fuco doul- ss. Irol Jourl of Mchcl ccs. 5: REFERENCE D Ros M.A Fr vros of osho s o o-prr lsc foudo Copurs rucurs. 57: Oszczu Z. 3. Fr rsvrs vros of lscll cocd rcgulr pl-r copl ss. Jourl of oud d Vro. 6: Oszczu Z.. Forcd rsvrs vros of lscll cocd copl rcgulr spl suppord doul-pl ss. Jourl of oud d Vro Psr P.L. 95. O hod of lss of lsc foudo s of o foudo coss. I Russ osudrsvo Izdlsvo Lrur Po rolsvu IArhur Mosco. ojovc V. Kozc P.. Forcd rsvrs vro of Rlgh d osho doul- ss h ffc of coprssv l lod. Irol Jourl of Mchcl ccs. 6: g.. phs J.E Nurl frqucs of osho s o Psr foudos. Jourl of oud d Vro. 5: Zhg Y.Q. Lu Y. g.l. Lu X. 8. Vro d uclg of doul- ss udr coprssv l lodg. Jourl of oud d Vro. 38: Zhg Y.Q. Lu Y. M.. 8. Effc of coprssv l lod o forcd rsvrs vros of 585

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

NHPP and S-Shaped Models for Testing the Software Failure Process

NHPP and S-Shaped Models for Testing the Software Failure Process Irol Jourl of Ls Trds Copug (E-ISSN: 45-5364 8 Volu, Issu, Dcr NHPP d S-Shpd Modls for Tsg h Sofwr Flur Procss Dr. Kr Arr Asss Profssor K.J. Soy Isu of Mg Suds & Rsrch Vdy Ngr Vdy Vhr Mu. Id. dshuh_3@yhoo.co/rrr@ssr.soy.du

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

Special Curves of 4D Galilean Space

Special Curves of 4D Galilean Space Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky

More information

Convergence tests for the cluster DFT calculations

Convergence tests for the cluster DFT calculations Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h

More information

Quantum Harmonic Oscillator

Quantum Harmonic Oscillator Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

U1. Transient circuits response

U1. Transient circuits response U. Tr crcu rpo rcu ly, Grdo Irí d omucco uro 6-7 Phlp Sm phlp.m@uh. Dprmo d Torí d l Sñl y omucco Idx Rcll Gol d movo r dffrl quo Rcll Th homoou oluo d d ordr lr dffrl quo Exmpl of d ordr crcu Il codo

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

CHAPTER 7. X and 2 = X

CHAPTER 7. X and 2 = X CHATR 7 Sco 7-7-. d r usd smors o. Th vrcs r d ; comr h S vrc hs cs / / S S Θ Θ Sc oh smors r usd mo o h vrcs would coclud h s h r smor wh h smllr vrc. 7-. [ ] Θ 7 7 7 7 7 7 [ ] Θ ] [ 7 6 Boh d r usd sms

More information

A Class of Harmonic Meromorphic Functions of Complex Order

A Class of Harmonic Meromorphic Functions of Complex Order Borg Irol Jourl o D Mg Vol 2 No 2 Ju 22 22 A Clss o rmoc Mromorpc Fucos o Complx Ordr R Elrs KG Surm d TV Sudrs Asrc--- T sml work o Clu d Sl-Smll [3] o rmoc mppgs gv rs o suds o suclsss o complx-vlud

More information

Vectors and Matrices

Vectors and Matrices Collg of Egrg d Compur Scc Mchcl Egrg Dprm Egrg Alyss Nos Ls updd: Augus 8, 7 Lrry Cro Vcors d Mrcs Iroduco Ths os provd roduco o h us of vcors d mrcs grg lyss. I ddo, hy provd dscusso of how h smpl cocp

More information

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System Mrls Scc Form Vols. 9-9 (5) pp 97- Ol vll sc 5/g/5 www.scc. (5) Trs Tch Plcos Swzrl o:.8/www.scc./msf.9-9.97 Irco Bw Em Crck Irc Crck Nohomogos Cog Ssm E.E. Thookoglo G.H. Plo Fcl o ppl Sccs Dp. o Mchcs-L.

More information

APPLICATION OF CROSS SPECTRUM BASED MODAL IDENTIFICATION TO OUTPUT-ONLY RECORDS OF AMBIENT VIBRATION

APPLICATION OF CROSS SPECTRUM BASED MODAL IDENTIFICATION TO OUTPUT-ONLY RECORDS OF AMBIENT VIBRATION 3 h World Cofrc o Erhqu Egrg Vcouvr,.C., Cd ugus -6, 4 Ppr No. 368 PPLICTION OF CRO PECTRUM ED MODL IDENTIFICTION TO OUTPUT-ONLY RECORD OF MIENT VIRTION K KNZW UMMRY cross spcru bsd odl dfco chqu, whch

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

Study on Non-linear Responses of Eccentric Structure

Study on Non-linear Responses of Eccentric Structure Th 4 h World ofr o Erh Egrg or -7 8 Bg h Sd o No-lr Rpo of Er Srr Hdz WATANABE oh USUNI Ar TASAI 3 Grd Sd Dpr of Arhr ooh Nol Uvr ooh Jp Ao Profor Dpr of Arhr ooh Nol Uvr ooh Jp ABSTRAT : 3 Profor Dpr

More information

On The Fractional Euler Top System with Two Parameters

On The Fractional Euler Top System with Two Parameters Irol OPEN ACCESS Jourl Of Modr Egrg Rsrh IJMER O Th rol Eulr To Sys wh Two Prrs Mh Iv d Ghorgh Iv Ws Uvrsy of Tşor r of Mhs Srul d Gor ş Toolog 4 B-dul V Pârv Tşor Ro Corrsodg Auhor: Mh Iv W rs h dyl hvor

More information

The Effect of Core-Polarization on Nucleon-Nucleon. Realistic Potential Parameters in. Doubly-Magic Nucleus 40 Ca

The Effect of Core-Polarization on Nucleon-Nucleon. Realistic Potential Parameters in. Doubly-Magic Nucleus 40 Ca Adv. Suds hor. Phs., Vo. 8, 04, o. 0, 447-455 HIKARI Ld, www.-hkr.co hp://dx.do.org/0.988/sp.04.49 h Effc of Cor-Poro o Nuco-Nuco Rsc Po Prrs Dou-Mgc Nucus 40 C Md Aus Fcu of Scc, Phscs Dpr- 04 h Uvrs,

More information

Chapter 1 Basic Concepts

Chapter 1 Basic Concepts Ch Bsc Cocs oduco od: X X ε ε ε ε ε O h h foog ssuos o css ε ε ε ε ε N Co No h X Chcscs of od: cos c ddc (ucod) d s of h soss dd of h ssocd c S qusos sd: Wh f h cs of h soss o cos d dd o h ssocd s? Wh

More information

Symbolic Dynamics for Real Rational Maps

Symbolic Dynamics for Real Rational Maps Symolc Dymcs or Rl Rol Mps João Crl Dprm o Mhmcs o h Azors Uvrsy Po Dlg Porugl ABSTRACT Ths or s mp o suy h ymcs o rl rol mps usg symolc ymcs I s gv mpl h llusrs ho h opologcl ropy c clcul usg g hory Mrov

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

counting statistics in thermal transport in nanojunctions

counting statistics in thermal transport in nanojunctions rs bhvor d fll cog sscs hrml rspor ojcos J-Shg Wg Dp PhysNUS Ol of h lk rodco Mhod of oqlbrm r s fcos Applcos hrml crrs D ch d obs rs problm Fll cog sscs MS workshop Forr s lw for h codco J [ ] f f d Forr

More information

Get Funky this Christmas Season with the Crew from Chunky Custard

Get Funky this Christmas Season with the Crew from Chunky Custard Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos

More information

Server breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server.

Server breakdown and repair, Multiple vacation, Closedown, Balking and Stand-by server. OR Jor of Mhc OR-JM -N: 78-578 -N: 9-765 o 6 r No - Dc6 56-74 ororor A G M h o hroo rc rr ro rr M co oo - rr GA r Dr of Mhc ochrr Er o chrr Arc: Th oc of h r o h hor of h rr ro rr M G h o hroo rc co coo

More information

Analysis of Effects of Rebounds and Aerodynamics for Trajectory of Table Tennis Ball

Analysis of Effects of Rebounds and Aerodynamics for Trajectory of Table Tennis Ball Al f Effc f Ru Ac f Tjc f Tl T Bll Juk Nu Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Ak Nkh Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Yhku Hkw Mchcl Scc Egg, Gu Schl f

More information

A Review of Dynamic Models Used in Simulation of Gear Transmissions

A Review of Dynamic Models Used in Simulation of Gear Transmissions ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols

More information

On the Hubbard-Stratonovich Transformation for Interacting Bosons

On the Hubbard-Stratonovich Transformation for Interacting Bosons O h ubbrd-sroovh Trsformo for Irg osos Mr R Zrbur ff Fbrury 8 8 ubbrd-sroovh for frmos: rmdr osos r dffr! Rdom mrs: hyrbol S rsformo md rgorous osus for rg bosos /8 Wyl grou symmry L : G GL V b rrso of

More information

Chapter 8: Propagating Quantum States of Radiation

Chapter 8: Propagating Quantum States of Radiation Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l

More information

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1 8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl

More information

Two-Dimensional Quantum Harmonic Oscillator

Two-Dimensional Quantum Harmonic Oscillator D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr

More information

APPLICATION OF HM-NETWORKS WITH UNRELIABLE SYSTEMS FOR FINDING THE MEMORY CAPACITY IN THE INFORMATION SYSTEMS

APPLICATION OF HM-NETWORKS WITH UNRELIABLE SYSTEMS FOR FINDING THE MEMORY CAPACITY IN THE INFORMATION SYSTEMS Jourl of Ald Mcs d Couol Mccs 28, 7(2), 5-63 www.c.cz.l -ISS 2299-9965 DOI:.752/c.28.2.5 -ISS 2353-588 APPLICATIO OF HM-ETWORKS WITH URELIABLE SYSTEMS FOR FIDIG THE MEMORY CAPACITY I THE IFORMATIO SYSTEMS

More information

H ev n t e m l e s e s t o e l r t a r r c f a t i se s a t e h i s r t d l i i g se? n e i s e d n e ce t t h o r u n i o y s, e y

H ev n t e m l e s e s t o e l r t  a r r c f a t i se s a t e h i s r t d l i i g se? n e i s e d n e ce t t h o r u n i o y s, e y A c N: Rhk P h: Phl W Alhu gh c hv c l v h c, h g h vhl hug c u l k h Gv v lc, hch ll g u 2011, v h u hk u lc k ccu h l Pulh AWch, @ chguk; l: 020 7248 2227; chguk J u 2011 vc h h, u c cu u h l Cl Sg Nu

More information

Improvement of Electromagnetic Wave Propagation Using Novel Finite Element Methodology

Improvement of Electromagnetic Wave Propagation Using Novel Finite Element Methodology Improvm of Elcromgc Wv ropgo Usg Novl F Elm Mhodolog Npo Jsumroum d Somsk kmgool Fcul of Tchcl Educo Kg Mogku s Uvrs of Tcholog Norh Bgkok Thld po89@gml.com src - Ths rsrch prsd w umrcl lss pproch o mprov

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

A Generalized Software Fault Classification Model

A Generalized Software Fault Classification Model WSEAS TRANSACTIONS o COMPUTERS Or Shw PK Kpur A Grlz Sofwr Ful Clssfco Mol OMAR SHATNAWI PK KAPUR Dpr of Copur Scc, Al l-by Uvrsy, Mfrq 5, JORDAN Dpr of Oprol Rsrch, Uvrsy of Dlh, Dlh 0007, INDIA rol@lycosco

More information

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l

Factors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p

More information

DAM-RESERVOIR INTERACTION ANALYSIS USING FINITE ELEMENT MODEL

DAM-RESERVOIR INTERACTION ANALYSIS USING FINITE ELEMENT MODEL Th 4 th World Cofrc o Erthquk Egrg Octobr -7, 8, Bjg, Ch DA-REERVOIR ITERACTIO AAYI UIG FIITE EEET ODE. sb-khv, A.R.. Ghrbgh d K.Abd h. D. tudt, Dpt. of Cvl Egrg, hd Uvrst of Tcholog, Tbrz. Ir rofssor,

More information

Almost unbiased exponential estimator for the finite population mean

Almost unbiased exponential estimator for the finite population mean Almos ubasd poal smaor for f populao ma Rajs Sg, Pakaj aua, ad rmala Saa, Scool of Sascs, DAVV, Idor (M.P., Ida (rsgsa@aoo.com Flor Smaradac ar of Dparm of Mamacs, Uvrs of Mco, Gallup, USA (smarad@um.du

More information

Section 5.1/5.2: Areas and Distances the Definite Integral

Section 5.1/5.2: Areas and Distances the Definite Integral Scto./.: Ars d Dstcs th Dt Itgrl Sgm Notto Prctc HW rom Stwrt Ttook ot to hd p. #,, 9 p. 6 #,, 9- odd, - odd Th sum o trms,,, s wrtt s, whr th d o summto Empl : Fd th sum. Soluto: Th Dt Itgrl Suppos w

More information

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces Srs of Nw Iforao Dvrgcs, Proprs ad Corrspodg Srs of Mrc Spacs K.C.Ja, Praphull Chhabra Profssor, Dpar of Mahacs, Malavya Naoal Isu of Tchology, Japur (Rajasha), Ida Ph.d Scholar, Dpar of Mahacs, Malavya

More information

OPTIMUM MULTILEVEL CHAOTIC SEQUENCES FOR ASYNCHRONOUS DS- CDMA SYSTEMS OVER RICIAN SELECTIVE FADING CHANNEL

OPTIMUM MULTILEVEL CHAOTIC SEQUENCES FOR ASYNCHRONOUS DS- CDMA SYSTEMS OVER RICIAN SELECTIVE FADING CHANNEL 5h rop rocss orc UIO 7 oz od pbr -7 7 copyrh by URI OIU ULILVL HOI QU OR YHROOU - Y OVR RII LIV I HL ǎ Vǎd os oo cocos pr Uvrsy ohc o chrs - I vd. Zp 7 chrs Ro pho: 75 : 75 : c{p}@co.pb.ro wb: www.co.pb.ro

More information

Non-Equidistant Multi-Variable Optimum Model with Fractional Order Accumulation Based on Vector Continued Fractions Theory and its Application

Non-Equidistant Multi-Variable Optimum Model with Fractional Order Accumulation Based on Vector Continued Fractions Theory and its Application QIYUN IU NON-EQUIDISN MUI-VRIE OPIMUM MODE WIH FRCION ORDER... No-Equds Mu-V Ou Mod w Fco Od ccuuo sd o Vco Coud Fcos o d s co Qu IU * D YU. S oo o dcd Dsg d Mucu o Vc od Hu Us Cgs Hu 8 C. Cog o Mcc Egg

More information

Hydrologic Contaminant Transport Modeling: A Novel Analytical and Computational Approach

Hydrologic Contaminant Transport Modeling: A Novel Analytical and Computational Approach MERI JOURL OF UDERGRDUTE REERH VOL O Hdrologc o Trpor Modlg: ol lcl d opuol pproc M Wlo d MW Ro Pc Dpr Ur of orr Iow dr Fll Iow 564-5 U MZ Ibl Er cc Dpr Ur of orr Iow dr Fll Iow 564-335 U Rcd Fbrur 3 ccpd

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

minimize c'x subject to subject to subject to

minimize c'x subject to subject to subject to z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt

More information

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy. LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL

More information

B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Kcs Kcs s cocr wh chrcrs o. h ol s o prss hcl for h foro oo of rls. I wh follows r of por qs ly cors sco-orr sors r roc. Ech of hs qs for pl h locy foro r or r of foro sor llows o o scr prclr spc of for

More information

STATE SPACE CONTROL. Prof. Ing. Miluše Vítečková, CSc. Prof. Ing. Antonín Víteček, CSc., Dr.h.c.

STATE SPACE CONTROL. Prof. Ing. Miluše Vítečková, CSc. Prof. Ing. Antonín Víteček, CSc., Dr.h.c. VŠB h Uvr f Orv F f Mh Egrg Dpr f Cr S r Czh Rp SE SPCE CONROL Prf g Mš Víčvá CS Prf g í Víč CS Drh Orv 6 Rvr: D g M Hgr CS Cprgh : Prf g Mš Víčvá CS Prf g í Víč CS Drh SE SPCE CONROL SBN 978-8-8-979-

More information

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r

More information

Almost Unbiased Exponential Estimator for the Finite Population Mean

Almost Unbiased Exponential Estimator for the Finite Population Mean Rajs Sg, Pakaj aua, rmala Saa Scool of Sascs, DAVV, Idor (M.P., Ida Flor Smaradac Uvrs of Mco, USA Almos Ubasd Epoal Esmaor for F Populao Ma Publsd : Rajs Sg, Pakaj aua, rmala Saa, Flor Smaradac (Edors

More information

Akpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions

Akpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions IOSR Joural o Elcrcal ad Elcrocs Egrg IOSR-JEEE -ISSN: 78-676,p-ISSN: 3-333, Volu, Issu 5 Vr. III Sp - Oc 6, PP 9-96 www.osrourals.org kpa s lgorh o Dr Sa Traso Marx ad Soluo o Dral Euaos wh Mxd Ial ad

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

Margrabe Formulas for a Simple Bivariate Exponential Variance-Gamma Price Process (I) Theory

Margrabe Formulas for a Simple Bivariate Exponential Variance-Gamma Price Process (I) Theory Irol Jourl of f Iovv hl srh IJI Volu I Issu I Augus- 3 PP -6 rourlsorg rgr Foruls for pl Bvr pol Vr-G Pr Pross I hor Wrr Hürl Wolrs Klur Fl rvs flsrss 69 CH-88 Zürh rl rrhurl@olrsluro v: -6-3 vs: -7-3

More information

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.

More information

CS 688 Pattern Recognition. Linear Models for Classification

CS 688 Pattern Recognition. Linear Models for Classification //6 S 688 Pr Rcogiio Lir Modls for lssificio Ø Probbilisic griv modls Ø Probbilisic discrimiiv modls Probbilisic Griv Modls Ø W o ur o robbilisic roch o clssificio Ø W ll s ho modls ih lir dcisio boudris

More information

, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».

, k fftw ' et i 7.  W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M». VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

TABLES AND INFORMATION RETRIEVAL

TABLES AND INFORMATION RETRIEVAL Ch 9 TABLES AND INFORMATION RETRIEVAL 1. Id: Bkg h lg B 2. Rgl Ay 3. Tbl f V Sh 4. Tbl: A Nw Ab D Ty 5. Al: Rdx S 6. Hhg 7. Aly f Hhg 8. Cl: Cm f Mhd 9. Al: Th Lf Gm Rvd Ol D S d Pgm Dg I C++ T. 1, Ch

More information

Motion Control Systems Chapter 1

Motion Control Systems Chapter 1 Asf Šboć Kouh Ohsh Moo Cool Syss Chp Elcochcl Syss Dycs Moo Cool Syss Asf Šboć Kouh Ohsh 0 oh Wly Sos (As) P Bsc us Mchcl Syss Poso locy Foc wok Mou x F F ( xx ) p p x x W F Fx x x Kc gy Pol gy ol gy xx

More information

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,

More information

Overview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining

Overview. Introduction Building Classifiers (2) Introduction Building Classifiers. Introduction. Introduction to Pattern Recognition and Data Mining Ovrv Iroduco o ar Rcogo ad Daa Mg Lcur 4: Lar Dcra Fuco Irucor: Dr. Gova Dpar of Copur Egrg aa Clara Uvry Iroduco Approach o uldg clafr Lar dcra fuco: dfo ad urfac Lar paral ca rcpro crra Ohr hod Lar Dcra

More information

MULTIPLE WIENER-ITÔ INTEGRALS

MULTIPLE WIENER-ITÔ INTEGRALS IJRRAS Jury www.rpprss.co/volus/volissu/ijrras 7.pd MULTIPLE WIENER-ITÔ INTEGRALS Hd Ahd Al & Csh Wg Norhws Norl Uvrsy, Lzhou, 737, P R Ch, Uvrsy o Khrou-Sud Norhws Norl Uvrsy, Lzhou, 737, P R Ch Kywords:

More information

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e

J = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e ) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg

More information

Fundamental Solutions for Micropolar Fluids

Fundamental Solutions for Micropolar Fluids So: Jol of Egg Mh Vol No pp 9-79 ; DO: 7/-7-9- dl Solo fo Mopol ld JN-JN SH * d JENN SHN LEE Shool of Mhl & op Egg Nyg hologl y Nyg Sgpo 979 N fdl olo fo opol fld dd pl fo fo o- d h-dol dy odd Sok d O

More information

Chapter 2. Review of Hydrodynamics and Vector Analysis

Chapter 2. Review of Hydrodynamics and Vector Analysis her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me

More information

Signals & Systems - Chapter 3

Signals & Systems - Chapter 3 .EgrCS.cm, i Sigls d Sysms pg 9 Sigls & Sysms - Chpr S. Ciuus-im pridic sigl is rl vlud d hs fudml prid 8. h zr Furir sris cfficis r -, - *. Eprss i h m. cs A φ Slui: 8cs cs 8 8si cs si cs Eulrs Apply

More information

LOWELL LEDGER. INDEPEMDEWT-MOT NEUTRAL, EDELNANN & NERRETER

LOWELL LEDGER. INDEPEMDEWT-MOT NEUTRAL, EDELNANN & NERRETER \ ^K H LOLL LDG X U DD-O UL F VOL X O 7 OFFL LOLL HG HU OO 2 905 V G ULO X 9 0 4 3 5 9 HLL & O H «- 50( K Y D Q - q O ^ - Y - Y F 8 2 H U H O H 4 2 4 U L V O - F 0 L O ( j L O GUH H HO HO H x q L - D OLV

More information

INF5820 MT 26 OCT 2012

INF5820 MT 26 OCT 2012 INF582 MT 26 OCT 22 H22 Jn Tor Lønnng l@.uo.no Tody Ssl hn rnslon: Th nosy hnnl odl Word-bsd IBM odl Trnng SMT xpl En o lgd n r d bygg..9 h.6 d.3.9 rgh.9 wh.4 buldng.45 oo.3 rd.25 srgh.7 by.3 onsruon.33

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

The Method of Steepest Descent for Feedforward Artificial Neural Networks

The Method of Steepest Descent for Feedforward Artificial Neural Networks IOSR Joural o Mahac (IOSR-JM) -ISSN: 78-578, p-issn:39-765x. Volu, Iu Vr. II. (F. 4), PP 53-6.oroural.org Th Mhod o Sp Dc or Fdorard Arcal Nural Nor Muhaad Ha, Md. Jah Udd ad Md Adul Al 3 Aoca Proor, Dpar

More information

GHOSH, RAHUL. Error analysis of Through Reflect Line method for calibrating

GHOSH, RAHUL. Error analysis of Through Reflect Line method for calibrating Absrc GHOSH, RAHUL. Error lyss of Through Rflc L mhod for clbrg mcrowv msurms. (Udr h drco of Profssor Mchl B. Sr) Ucry rsmsso l bsd clbro chqus for mcrowv msurms r sudd wh h m of dfyg h opmum clbro codos.

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

rig T h e y plod vault with < abort Ve i waiting for nj tld arrivi distant friend To whom wondering gram?" "To James Boynton." worded?

rig T h e y plod vault with < abort Ve i waiting for nj tld arrivi distant friend To whom wondering gram? To James Boynton. worded? G F F C OL 7 ^ 6 O D C C G O U G U 5 393 CLLD C O LF O 93 =3 O x x [ L < «x -?" C ; F qz " " : G! F C? G C LUC D?"! L G C O O ' x x D D O - " C D F O LU F L O DOGO OGL C D CUD C L C X ^ F O : F -?! L U

More information

ORDINANCE NO. 13,888

ORDINANCE NO. 13,888 ORDINANCE NO. 13,888 AN ORDINANCE d Mc Cd Cy Ds Ms, Iw, 2000, dd by Odc N. 13,827, ssd J 5, 2000, by g Sc 134-276 d cg w Sc 134-276, d by ddg d cg w Dvs 21A, cssg Scs 134-991 g 134-997, c w "C-3R" C Bsss

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /21/2016 1/23 BIO53 Bosascs Lcur 04: Cral Lm Thorm ad Thr Dsrbuos Drvd from h Normal Dsrbuo Dr. Juchao a Cr of Bophyscs ad Compuaoal Bology Fall 06 906 3 Iroduco I hs lcur w wll alk abou ma cocps as lsd blow, pcd valu

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Mat e h a m t c i a lmo e il of a r T a v n er e s e S ar Defor a m t o i k S e h l T ory 2. M T T E si ce e m t n Mo e d sl. 30 www. jier.

Mat e h a m t c i a lmo e il of a r T a v n er e s e S ar Defor a m t o i k S e h l T ory 2. M T T E si ce e m t n Mo e d sl. 30 www. jier. rol Jl grg r g J SS : 9-8 Vol- - Oobr l olg Trr fo T Sll Ty Sr OH ZO OH TU br Tr- ol y ly rlr o ploy o r r r rbo l rf opo ll r ro oprg oo T o oo r r by g rlop b f o r pl ll g Hlo prpl rgy T ry l po r o

More information

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015 S Jos Gvil JCCD Trust Ar Pl Aopt Octobr, 0 p Lrs Pl Aopt Oct, 0 Cit/Csus Dsigt Plc ighw US 0 Cit Arom ollistr igmr S Jos Trs Pios cr Ps 4 ut S Bito ut 0 0 ils Arom ollistr igmr Trs Pios 7 S Bito ut Lpoff

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information

THE ROSENAU-HYMAN K(2,2) EQUATION

THE ROSENAU-HYMAN K(2,2) EQUATION THE ROSEA-HYMA K EATIO. ITRODCTIO Mos of wly non-lnr nd lnr dsprsv quons sudd so fr d solry wvs clld solons r nfn n n []. Wll nown prl dffrnl quons PDEs w solon soluon nclud sn-gordon SG quon cuc non-lnr

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

THE LOWELL LEDGER, / INDEPENDENT- NOT NEUTRAL.

THE LOWELL LEDGER, / INDEPENDENT- NOT NEUTRAL. H DR / DPD UR V X 22 R CRCU CH HURDY VR 7 94 C PPR FFC PPR HKV RY R Y C R x R{ K C & C V 3 P C C H Y R Y C F C K R D PU F YU q C Y D VR D Y? P V ; H C F F F H C Y C D YRCK RR D C PR RQU RCK D F ; F P 2

More information

Cherrywood House, Cherrywood Road, Loughlinstown, Dublin 18

Cherrywood House, Cherrywood Road, Loughlinstown, Dublin 18 86 rro Sq uh, Dub 2, D02 YE10, Ir. 01-676 2711 gvob. FOR SALE BY PRIVATE TREATY rr Hous, rr, ughso, Dub 18 > > F pr o-sor, pr o-sor pro rsc xg o pprox 374 sq../4,026 sq. f. > > Fbuous grs h ovr s r of

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

Root behavior in fall and spring planted roses...

Root behavior in fall and spring planted roses... Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Quantum Properties of Idealized GW Detector

Quantum Properties of Idealized GW Detector Qm Prors of Idlzd GW Dor Sg Pyo Km Ks N l Uvrsy Osk Uvrsy J 3 Th 4 h Kor-J Worksho o KAGRA Ol Idlzd Dor for Grvol Wvs Qm Thory for Dsso Wgr Fo of Tm-Dd Osllor Dmd Osllor Drv by Erl Fors Colso Idlzd Dor

More information

A new generalized Lindley distribution

A new generalized Lindley distribution Mhcl Thoy d Modl ISSN 4584 Pp ISSN 55 Ol ol3 No3 3 wwwso Asc A w lzd dly dsuo Ih Ell o Movc * M Elhy 3 Isu o Sscl Suds d Rsch Dpo Mhcl Sscs Co Uvsy Dp o Mhcs Uvsy o Psh "Hs Psh" Rpulc o Kosovo 3 Isu o

More information

Monte Carlo Simulation in Thermal Radiative Transfer: Method Review, Validation and Parameter Sensitivity

Monte Carlo Simulation in Thermal Radiative Transfer: Method Review, Validation and Parameter Sensitivity Irol Jourl of Mchcl & Mchrocs Egrg IJMME-IJE Vol:9 o:9 Mo Crlo mulo hrml Rdv rsfr: Mhod Rvw, Vldo Prmr svy Zfr U Korsh, df dd, sm M hh Asrc Mo Crlo () smulo s xsvly usd for solvg hrml rdo prolms hgh-mprur

More information

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o: R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

Inner Product Spaces INNER PRODUCTS

Inner Product Spaces INNER PRODUCTS MA4Hcdoc Ir Product Spcs INNER PRODCS Dto A r product o vctor spc V s ucto tht ssgs ubr spc V such wy tht th ollowg xos holds: P : w s rl ubr P : P : P 4 : P 5 : v, w = w, v v + w, u = u + w, u rv, w =

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h

More information

Algorithms to Solve Singularly Perturbed Volterra Integral Equations

Algorithms to Solve Singularly Perturbed Volterra Integral Equations Avalabl a hp://pvamudu/aam Appl Appl Mah ISSN: 9-9 Vol Issu Ju pp 9-8 Prvousl Vol Issu pp Applcaos ad Appld Mahmacs: A Iraoal Joural AAM Algorhms o Solv Sgularl Prurbd Volrra Igral Equaos Marwa Tasr Alqura

More information

Example: Two Stochastic Process u~u[0,1]

Example: Two Stochastic Process u~u[0,1] Co o Slo o Coco S Sh EE I Gholo h@h. ll Sochc Slo Dc Slo l h PLL c Mo o coco w h o c o Ic o Co B P o Go E A o o Po o Th h h o q o ol o oc o lco q ccc lco l Bc El: Uo Dbo Ucol Sl Ab bo col l G col G col

More information