Prediction of Aviation Equipment Readiness Rate Based on Exponential Smoothing Method. Yan-ming YANG, Yue TENG and Chao-ran GUO

Size: px
Start display at page:

Download "Prediction of Aviation Equipment Readiness Rate Based on Exponential Smoothing Method. Yan-ming YANG, Yue TENG and Chao-ran GUO"

Transcription

1 7 nd Inrnonl Confrnc on Informon chnology nd Mngmn Engnrng (IME 7) ISBN: Prdcon of Avon Equpmn Rdnss R Bsd on Exponnl Smoohng Mhod Yn-mng YANG, Yu ENG nd Cho-rn GUO Nvl Aronucl nd Asronucl Unvrsy Qngdo Cmpus; Qngdo 664; Chn Kywords: Prdcon, Exponnl smoohng mhod, Avon qupmn rdnss r. Absrc. Avon qupmn rdnss r s n mporn prmr o s h bl bly of ronucl qupmn, nd s lso n mporn prmr of ronucl qupmn RMS. h rdnss r rflcs h rlbly, mnnbly, supporbly, von suppls, logscs suppor, mngmn lvl nd ohr spcs of ronucl qupmn. In hs ppr, h dfnon of von qupmn rdnss nd s clculd formuls r gvn. hn h prdcon mhods of von qupmn rdnss r usng sngl xponnl smoohng nd doubl xponnl smoohng r proposd, nd h dffrn prdcon mhods r comprd. h smulon rsuls show h h mhods r fsbl nd ffcv. Inroducon In h mngmn of von mnnnc hs mor prdcon problm, h chncl s of h qupmn, von qupmn rdnss, spr prs consumpon, h numbr of fuls o mk scnfc prdcon, o mprov von mnnnc work prdcbly, counrmsurs nd scnfc, nd mprov von qupmn rdnss nd wrm ulzon lvl plys vry mporn rol. h von qupmn rdnss r s rflcon msurmn chnology for rcrf quly lvl. Avon qupmn rdnss r s n mporn mnfson of bl ffcvnss for h ronucl qupmn. hrfor, s mporn o sudy h von qupmn rdnss r. h Dfnon of Equpmn Rdnss R h qupmn vlbly rfrs o h bly of h qupmn o rspond o comb rnng sks upon rcp of comb rnng ordr. I s h srngh of h qupmn n h complon of qupmn, qupmn vlbly, rnng nd ohr fcors combnd ffc of h rsuls. Avon qupmn rdnss r s ssc h dscrbs h s of ronucl qupmn vlbly. A prsn, h rdnss r s usully dfnd s h ro of h numbr of nc qupmn o h ol numbr of qupmn n h ronucl qupmn. h rdnss r s shown n quon (). P OR = k () n whr P OR s h qupmn rdnss r; k s h numbr of nc qupmns; n s h ol numbr of qupmns. h Exponnl Smoohng Prdcon Mhod m srs s sscl ndcor vlu, ccordng o h chronologcl ordr o h formon of h squnc. Avon qupmn rdnss r s ypcl m srs. m srs prdcon s o nlyz h m srs, ccordng o h m srs rflcs h dvlopmn procss, drcon nd rnd, nlogy or xnson, o prdc h nx prod of m or fw yrs lr my rch h lvl. m srs prdcon cn b usd for shor-rm prdcon, mdum-rm prdcon nd long-rm 47

2 prdcon. Accordng o dffrn d nlyss mhods, cn b dvdd no movng vrg, wghd movng vrg, xponnl smoohng, ssonl rnd forcsng. On-Prmr Exponnl Smoohng Prdcon Mhod Exponnl smoohng s commonly usd mhod o produc smooh m srs, nd s lso mhod of curv fng. h bsc d of xponnl smoohng forcsng mhod s: n h nx prod of h forcs d, consdrng h d of hs cycl, nd kng no ccoun h prvous d. h obsrvon of rcn d gv hghr wgh, h wgh s rlvly low wh h rlr d, wghs r usully gomrclly dcrsng ro consn, h rcn d on h prdcon of h fuur grr rol, so s o obn br fng curv nd h prdcon rsuls. Accordng o dffrn prmrs, cn b dvdd no on-prmr xponnl smoohng mhod nd wo-prmr xponnl smoohng mhod. On-prmr xponnl smoohng s subl for h m srs d wh sbl chrcrscs, nd wo-prmr xponnl smoohng s subl for h m srs d wh h rnd chrcrscs. On-prmr xponnl smoohng hs smoohng prmr, whch s bsd on h smoohnss of h numbr of ms, ncludng lnr xponnl smoohng mhod, qudrc xponnl smoohng mhod nd cubc xponnl smoohng mhod. h Lnr Exponnl Smoohng Prdcon Mhod. h lnr xponnl smoohng y wh ( ) y s ( ) prdcon mhod s knd of forcsng mhod of wghng h m srs { } h wgh( < < ). h wgh of clculon formul s s follows: + y s, h wgh of s,..., nd so on, h yˆ = S = y + S () whr, y rprsns h cul vlu h -h prod; y ˆ+ rprsns h prdcd vlu h (+)-h prod;, S S rprsn h sngl xponnl smoohng vlus h (-)-h nd -h prods; ( < < ) rprsns h smoohng coffcn. h nl vlu S s h frs m of h m srs. If h smpl d s smll, h vrg vlu of h hsorcl d cn b slcd s h nl vlu. h Qudrc Exponnl Smoohng Prdcon Mhod. Whn h m srs shows lnr rnd, usng lnr xponnl smoohng mhod o prdc, hr r sll sgnfcn lg dvons. hrfor, h ncssry mndmns should b md. On h bss of lnr xponnl smoohng squnc, xponnl smoohng s prformd gn wh h sm smoohng coffcn, whch s qudrc xponnl smoohng. h formul s s follows: ( ) S = y + S S S S yˆ + = + b = + () = ( ) = S S b S S whr S rprsns n xponnl smoohng vlu h -h prod; (4) S rprsns qudrc xponnl smoohng vlu h -h prod; y rprsns n cul vlu h -h prod; y ˆ+ 48

3 rprsns prdcd vlu h (+)-h prod; nd ( < < ) rprsns smoohng coffcn. h nl vlu of S s h sm s h of S. h Cubc Exponnl Smoohng Prdcon Mhod. Whn h m srs shows nonlnr rnd, h cubc xponnl smoohng mhod cn b usd o prdc h m srs. h bsc prncpl s h n h qudrc xponnl smooh bss, nd hn n xponnl smoohng, whch s cubc xponnl smoohng. h formul s s follows: ( ) ( ) S = y + S S = S + S S S S yˆ + = + b + c ( ) ( ) = + (5) ( ) = S S + S ( ) b = (6 5 ) S (5 4 ) (4 ) S + S ( ) ( ) c = S S + S ( ) (6) whr S rprsns n xponnl smoohng vlu h -h prod; S rprsns qudrc xponnl smoohng vlu h -h prod; ( ) S rprsns cubc xponnl smoohng vlu h -h prod; y rprsns h cul vlu h -h prod; y ˆ+ rprsns h (+)-h Prod prdcon vlu; nd ( < < ) rprsns smoohng coffcn. In gnrl, h nl vlu ( ) S = S = S s h frs rm of h m srs. wo-prmr Exponnl Smoohng Prdcon Mhod wo-prmr xponnl smoohng mhod, lso known s h Hol xponnl smoohng mhod, s lnr xponnl smoohng mhod. On-Prmr xponnl smoohng formul s no subl for fng nd prdcng h m srs wh rnd. Doubl xponnl smoohng nroducs nw prmr, whch s subl for fng nd prdcng h m srs wh rnd. h formul s s follows: ( )( ) ( γ ) S = y + S + = γ S S + (7) yˆ = S + whr S s h lvl vlu m ; s h wgh of S. s h rnd m ; γ s h wgh of ; y s h d vlu m ; y ˆ s h fd vlu m (h prdcd vlu o h prvous sp). In quon (6), h smoohng vlu S n h frs formul dds h ls smoohng vlu o h rnd fcor h prvous m. hs lmns h hysrss nd djuss S o rsonbl vlu. h scond formul s h xprsson for h ls wo djcn smoohng vlu dffrncs nd s n upd formul rprsnng h rnd. By ddng rnds o h smoohng d, you cn smooh h m srs d wh rnds. hus, whn h sysm s smd by nroducng h rnd componn, h vlu of h sysm cn vod h sngl dpndnc of h xponnl s on h sysm, whch cn rflc h moon chrcrscs of h sysm mor rlsclly. 49

4 Applcon Exmpl Anlyss Problm Dscrpon Sscs of von qupmn for monhs of rdnss r d, s shown n bl. h d of h prvous monhs r known smpls nd h Dcmbr d r h vrfcon smpls. h sngl xponnl smoohng mhod nd h doubl xponnl smoohng mhod r usd o prdc h h monh von qupmn rdnss r nd compr h forcsng rsuls. bl. Avon qupmn rdnss r sscs d. Monh Rdnss r Rsul Anlyss Usng h m srs nlyss funcon of Mnb, w cn g h followng prdcon rsuls convnnly, s shown n Fgur nd Fgur. h fgur shows h cul vlu of h Avon qupmn rdnss r, fng vlu nd prdcon of h squnc dgrm, lso ncluds smoohng prmrs, ccurcy msurmn nformon. h ccurcy msur of hr fng modls: mn bsolu prcng rror (MAPE), mn bsolu dvon (MAD) nd mn squrd dvon (MSD). For hs hr msurs, h smllr h vlu, h br h modl f. r s n d.8 R Vrbl Acul vlu Fd vlu Prdcd vlu 95.% prdcon nrvl Smoohng consn Accurcy msurmn MAPE MAD.89 MSD Monh 8 9 Fgur. On-prmr xponnl smoohng prdcon of von qupmn rdnss r. r.9.85 s n.8 d R Vrbl Acul vlu Fd vlu Prdcd vlu 95.% prdcon nrvl Smoohng consn.794 γ.479 Accurcy msurmn MAPE.484 MAD.869 MSD Monh 8 9 Fgur. wo-prmr xponnl smoohng prdcon of von qupmn rdnss r. 5

5 As cn b sn from h Fgur nd Fgur, h sngl xponnl smoohng mhod nd doubl xponnl smoohng mhod prdc h von qupmn rdnss r n Dcmbr r nd h forcsng rsuls r shown n bl. I s obvous h h doubl xponnl smoohng mhod s br hn h sngl xponnl smoohng mhod. bl. Comprson of forcsng rsuls by dffrn forcsng mhods n Dcmbr. Prdcon mhod Acul vlu Prdcv vlu Rsdul On-prmr xponnl smoohng On-prmr xponnl smoohng For h bov prdcon mhod, h hr ccurcy msurs MAPE, MAD nd MSD r shown n bl, snc hs vlus of h wo-prmr xponnl smoohng mhod r smllr, cn b concludd h hs mhod s br fd o hs d. hs s conssn wh h prvous nlyss. bl. Rsdul comprson of dffrn prdcon mhods. Prdcon mhod MAPE MAD MSD On-prmr xponnl smoohng wo-prmr xponnl smoohng I should b pond ou h h bov-mnond prdcon mhod hs no mrs. For dffrn d, s prdcon ffc s dffrn, nd o choos h ppropr mhod ccordng o h spcfc suon. h sm forcsng mhod cn lso ffcvly mprov s prdcon by djusng s smoohng prmrs. Conclusons h pplcon xmpl shows h h m srs nlyss chnqu cn mk full us of hsorcl d nd conrol h mcro-rnd nd h mcro-flucuon. h forcsng rror cn b conrolld whn 5%. A h sm m, h mhod proposd n hs ppr no only ppls o h prdcon of von qupmn rdnss r, bu lso o ohr qupmn ndxs or prmrs wh m srs chrcrscs, such s qupmn flur r, flgh sfy ccdn r nd r mrl spr prs consumpon, whch provds scnfc mhod nd mns for qupmn suppor forcs. Rfrncs [] Ynmng Yng, Yng Go, Rul Zhng. Sscl Anlyss nd Applcon of Quly Mngmn. Bjng, snghu Unvrsy Prss, 5. [] MLA Goodwn, Pul. h Hol-Wnrs Approch o Exponnl Smoohng: 5 Yrs Old nd Gong Srong. Forsgh h Inrnonl Journl of Appld Forcsng 9():-. [] ylor, J W. Shor-rm lcrcy dmnd forcsng usng doubl ssonl xponnl smoohng. Journl of h Opronl Rsrch Socy 54.8(): [4] Osmn, Ahmd Frd, nd M. L. Kng. A nw pproch o forcsng bsd on xponnl smoohng wh ndpndn rgrssors. Monsh Economrcs & Busnss Sscs Workng Pprs (5). [5] Hyndmn, Rob, l. Forcsng wh Exponnl Smoohng. Sprngr 6.(8):4-5. [6] Brown, Robr G. Exponnl Smoohng. Sprngr US,. [7] Informon on hps://n.wkpd.org/wk/exponnl_smoohng. 5

A Hybrid Method to Improve Forecasting Accuracy Utilizing Genetic Algorithm and Its Application to Stock Market Price Data

A Hybrid Method to Improve Forecasting Accuracy Utilizing Genetic Algorithm and Its Application to Stock Market Price Data A Hyrd Mhod o Improv Forcsng Accurcy Ulzng Gnc Algorhm nd Is Applcon o Sock Mrk Prc D Ysuo Ish * Kzuhro Tkysu Dprmn of Mngmn Dsgn, Fculy of Busnss dmnsron Osk Inrnonl Unvrsy -5-, Sug, Hrk, Osk 57-9, Jpn

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

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò Scl nly of nvronmnl D - cdmc r 8-9 Prof. Frnndo Snò XRISS - PR 5 bl of onn Inroducon... xrc (D mprcl covrnc m)...7 xrc (D mprcl covrnc m)... xrc 3 (D mprcl covrnc m)... xrc 4 (D mprcl covrnc m)...3 xrc

More information

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9 CIVL / -D Boundry Vlu Problm - Qudrlrl Elmn (Q) /9 EIGH-ODE QUADRILAERRAL ELEMES (Q) h nx n our lmn dvlopmn logcl xnon of h qudrlrl lmn o qudrclly nrpold qudrlrl lmn dfnd by gh nod, four h vrc nd four

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

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

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

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load

Explicit Delay and Power Estimation Method for CMOS Inverter Driving on-chip RLC Interconnect Load Inrnonl Journl of Elcrcl n Elcroncs Engnrng : Explc Dly n Powr Esmon Mho for MOS Invrr Drvng on-hp R Inrconnc o Susm Shoo Mhumn D n Rjb r bsrc h rssv-nucv-cpcv bhvor of long nrconncs whch r rvn by MOS

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Frequency Response. Response of an LTI System to Eigenfunction

Frequency Response. Response of an LTI System to Eigenfunction Frquncy Rsons Las m w Rvsd formal dfnons of lnary and m-nvaranc Found an gnfuncon for lnar m-nvaran sysms Found h frquncy rsons of a lnar sysm o gnfuncon nu Found h frquncy rsons for cascad, fdbac, dffrnc

More information

Analytical Study of a Special Case of Complex Canonical Transform

Analytical Study of a Special Case of Complex Canonical Transform lobl Jornl o Mhmcl Scncs: hory n Prccl Volm, Nmbr 3 00, pp 6--70 Inrnonl Rsrch Pblcon Hos hp://wwwrphoscom Anlycl Sy o Spcl Cs o Complx Cnoncl rnsorm PR Dshmkh n AS h Pro Rm Mgh Ins o chnology & Rsrch,

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

Exponential Stability Analysis of a System Comprised of a Robot and its Associated Safety Mechanism

Exponential Stability Analysis of a System Comprised of a Robot and its Associated Safety Mechanism rongs of nnul onfrn of hn nsu of ommunons Eponnl Sbl nlss of Ssm omprs of obo n s sso Sf Mhnsm Whu GUO ng YNG prmn of Mhms n nforms sn Zhngzhou Unvrs of lgh nusr Zhngzhou hn; E-ml: whguosr@hooomn; ngp66@hoon

More information

Laser spectroscopy. - Basic concepts and instrumentation - Wolfgang Demtröder. Nonlinear Optics Lab. Hanyang Univ. 2 nd enlarged edition

Laser spectroscopy. - Basic concepts and instrumentation - Wolfgang Demtröder. Nonlinear Optics Lab. Hanyang Univ. 2 nd enlarged edition Lsr spcroscopy - Bsc concps nd nsrumnon - nd nlrgd don Wolfgng Dmrödr Nonlnr Opcs L. Hnyng Unv. . Inroducon Spcroscopy 분광학 : To nlyz h chrcrscs of EM rdon lgh nrcng wh mrs AsorponEmsson spcr Spcroscopc

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

innovations shocks white noise

innovations shocks white noise Innovaons Tm-srs modls ar consrucd as lnar funcons of fundamnal forcasng rrors, also calld nnovaons or shocks Ths basc buldng blocks sasf var σ Srall uncorrlad Ths rrors ar calld wh nos In gnral, f ou

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

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

State Observer Design

State Observer Design Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng

More information

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

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

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data Rind 8-- Wbsi: wwwshimoionsnl Ro 67, Jun 97, Dlf Univsiy of chnoloy, Shi Hydomchnics Lbooy, Mklw, 68 CD Dlf, h Nhlnds A Siml Mhod fo Dminin h Mnouvin Indics K nd fom Ziz il D JMJ Jouné Dlf Univsiy of chnoloy

More information

Energy use-trade nexus: what does the data set say for Thailand?

Energy use-trade nexus: what does the data set say for Thailand? MPRA Munch Prsonl RPEc Archv Enrgy us-rd nxus: wh dos h d s sy for Thlnd? Komn Jrnyul Nonl Insu of Dvlopmn Admnsron My Onln hp://mpr.ub.un-munchn.d/578/ MPRA Ppr No. 578, posd. July :55 UTC Enrgy Us-Trd

More information

INTEGRAL TRANSFORM METHODS FOR SOLVING FRACTIONAL PDES AND EVALUATION OF CERTAIN INTEGRALS AND SERIES

INTEGRAL TRANSFORM METHODS FOR SOLVING FRACTIONAL PDES AND EVALUATION OF CERTAIN INTEGRALS AND SERIES ITEGRAL TRASFORM METHODS FOR SOLVIG FRACTIOAL PDES AD EVALUATIO OF CERTAI ITEGRALS AD SERIES *A. Aghl nd H. Znl *Drmn of Ald Mhmcs, Unvrsy of Guln Rsh-Irn *Auhor for Corrsondnc ABSTRACT In hs work, h uhors

More information

P2.5 EVALUATION OF WEATHER MODIFICATION BY AIRCRAFT IN GUANGXI BY THE USE OF CINDAR

P2.5 EVALUATION OF WEATHER MODIFICATION BY AIRCRAFT IN GUANGXI BY THE USE OF CINDAR P2.5 EVALUATION OF WEATHE MODIFICATION BY AICAFT IN GUANGXI BY THE USE OF CINDA Zhng ubo * nd Zhong Xoyng Whr Modfcon Offc of Gungx, Nnnng,Chn Yo C Gungx Morologcl Buru,Nnnng,Chn. INTODUTION Snc Schfr(946)

More information

Central University of Finance and Economics, Beijing, China. *Corresponding author

Central University of Finance and Economics, Beijing, China. *Corresponding author 016 Jon Inrnaonal Confrnc on Arfcal Inllgnc and Copur Engnrng (AICE 016) and Inrnaonal Confrnc on Nwork and Councaon Scury (NCS 016) ISBN: 978-1-60595-36-5 AdaBoos Arfcal Nural Nwork for Sock Mark Prdcng

More information

Effect of Gravity on Waterflooding Performance of Stratified Reservoirs Noaman A.F. El-Khatib, SPE, King Saud University

Effect of Gravity on Waterflooding Performance of Stratified Reservoirs Noaman A.F. El-Khatib, SPE, King Saud University PE 8465 Effc of Grvy on Wrfloodng Prformnc of rfd Rsrvors Nomn A.F. El-Kh, PE, Kng ud Unvrsy opyrgh 00, ocy of Prolum Engnrs Inc. Ths ppr s prprd for prsnon h PE h Mddl s Ol ho & onfrnc o hld n Bhrn 5-8

More information

Generalized Half Linear Canonical Transform And Its Properties

Generalized Half Linear Canonical Transform And Its Properties Gnrlz Hl Lnr Cnoncl Trnorm An I Propr A S Guh # A V Joh* # Gov Vrh Inu o Scnc n Humn, Amrv M S * Shnkrll Khnlwl Collg, Akol - 444 M S Arc: A gnrlzon o h Frconl Fourr rnorm FRFT, h lnr cnoncl rnorm LCT

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

NON-LINEAR ANALYSIS OF PIEZOLAMINATED STRUCTURES

NON-LINEAR ANALYSIS OF PIEZOLAMINATED STRUCTURES NON-LINER NLYSIS O PIEZOLMINED SRUCURES José Smõs Mo *, Crsóão Mo Sors **, n Crlos Mo Sors ** *Unrs o lgr, Escol Spror cnolog,cmps Pn,8 ro, Porgl ** IDMEC-Inso Engnr Mcânc-Inso Spror écnco,. Rosco Ps,96-

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

Wave Superposition Principle

Wave Superposition Principle Physcs 36: Was Lcur 5 /7/8 Wa Suroson Prncl I s qu a common suaon for wo or mor was o arr a h sam on n sac or o xs oghr along h sam drcon. W wll consdr oday sral moran cass of h combnd ffcs of wo or mor

More information

DESIGN OF LOSS FUNCTIONS AND FEATURE TRANSFORMATION FOR MINIMUM CLASSIFICATION ERROR BASED AUTOMATIC SPEECH RECOGNITION MADHAVI VEDULA RATNAGIRI

DESIGN OF LOSS FUNCTIONS AND FEATURE TRANSFORMATION FOR MINIMUM CLASSIFICATION ERROR BASED AUTOMATIC SPEECH RECOGNITION MADHAVI VEDULA RATNAGIRI DESIGN OF LOSS FUNCTIONS AND FEATURE TRANSFORMATION FOR MINIMUM CLASSIFICATION ERROR BASED AUTOMATIC SPEECH RECOGNITION by MADHAVI VEDULA RATNAGIRI A dssron submd o h Grdu School Nw Brunswck Rugrs, Th

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

Control Systems (Lecture note #7)

Control Systems (Lecture note #7) 6.5 Conrol Sysms (Lcur no #7) Ls Tm: Gnrlz gnvcors Jorn form Polynoml funcons of squr mrx bg pcur: on brnch of h cours Vcor spcs mrcs lgbrc quons Egnvlus Egnvcors Dgonl form Cnoncl form Soluons o : x x

More information

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite nrnionl Confrnc on Mchnicl nusril n Mrils Enginring 5 CMME5 - Dcmbr 5 RUE Rjshhi Bnglsh. Ppr D: E-6 A Proucion nvnory Mol for Diffrn Clsss of Dmns wih Consn Proucion R Consiring h Prouc s Shlf-Lif Fini

More information

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex. Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts

More information

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser Mr n FT Lcur 4CT.5 3CT.3-5,7,8 BME 333 Bimdicl Signls nd Sysms - J.Schssr 43 Highr Ordr Diffrniin d y d x, m b Y b X N n M m N M n n n m m n m n d m d n m Y n d f n [ n ] F d M m bm m X N n n n n n m p

More information

CE427 - CHEMICAL ENGINEERING LABORATORY III FALL 2005 MATHEMATICAL MODELLING OF TANK DRAINING

CE427 - CHEMICAL ENGINEERING LABORATORY III FALL 2005 MATHEMATICAL MODELLING OF TANK DRAINING CE47 - CEMICA ENGINEERING ABORATORY III FA 005 MATEMATICA MODEING OF TANK DRAINING Ojvs: Dvlop r mml modls o vryng omplxy o prd m rqurd o drn vrl ylndrl nk nd ompr modls w xprmnl d. Sysm: Two nks lod n

More information

Computation of the Filtering Properties of Photonic Crystal Waveguide Discontinuities Using the Mode Matching Method

Computation of the Filtering Properties of Photonic Crystal Waveguide Discontinuities Using the Mode Matching Method World Acdy of Scnc, Engnrng nd chnology Inrnonl Journl of Elcroncs nd Councon Engnrng Copuon of h Flrng Proprs of Phoonc Crysl Wvgud Dsconnus Usng h Mod Mchng Mhod Ahnsos hohrds, hos Klks, Ionns Nokosds,

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

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

Right Angle Trigonometry

Right Angle Trigonometry Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

A Study on the Nature of an Additive Outlier in ARMA(1,1) Models

A Study on the Nature of an Additive Outlier in ARMA(1,1) Models Europn Journl of Scinific Rsrch SSN 45-6X Vol3 No3 9, pp36-368 EuroJournls Publishing, nc 9 hp://wwwuroournlscom/srhm A Sudy on h Nur of n Addiiv Oulir in ARMA, Modls Azmi Zhrim Cnr for Enginring Rsrch

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

More information

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: UFI #: PHA 527 Scond Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pu ll nswrs on h bubbl sh OAL /200 ps Nm: UFI #: Qusion S I (ru or Fls) (5 poins) ru (A)

More information

Thermodynamic Properties of the Harmonic Oscillator and a Four Level System

Thermodynamic Properties of the Harmonic Oscillator and a Four Level System www.ccsn.org/apr Appld Physcs Rsarch Vol. 3, No. ; May Thrmodynamc Proprs of h Harmonc Oscllaor and a Four Lvl Sysm Oladunjoy A. Awoga Thorcal Physcs Group, Dparmn of Physcs, Unvrsy of Uyo, Uyo, Ngra E-mal:

More information

Performance Implications of Tolerating Cache Faults

Performance Implications of Tolerating Cache Faults Prformnc Implcon of Tolrng Cch Ful Andr Frd Pour Mrk D. Hll Compur Scnc Dprmn Unvry of Wconn Mdon 1210 W Dyon Sr Mdon, Wconn 53706 ABSTACT Mcroprocor r ncrngly ncorporng on or mor on-chp cch. Th cch r

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

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

Minimum Spanning Trees

Minimum Spanning Trees Mnmum Spnnng Trs Spnnng Tr A tr (.., connctd, cyclc grph) whch contns ll th vrtcs of th grph Mnmum Spnnng Tr Spnnng tr wth th mnmum sum of wghts 1 1 Spnnng forst If grph s not connctd, thn thr s spnnng

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

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 71: Eqution (.3) should rd B( R) = θ R 1 x= [1 G( x)] pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

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

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall Siic 504 0. Aing Normliy Gry W. Ohlr School of Siic 33B For Hll 6-65-557 gry@.umn.u Mny procur um normliy. Som procur fll pr if h rn norml, whr ohr cn k lo of bu n kp going. In ihr c, i nic o know how

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

More information

Blended Level 1 and Level 2 Sample Lesson Plans

Blended Level 1 and Level 2 Sample Lesson Plans Blndd Lvl 1 nd Lvl 2 Smpl Lsson Plns Bsd on h sory h hr Lil Pigs by Jms rshll hs blndd lsson plns r inndd o b n xmpl of how boh Lvl 1 nd Lvl 2 civiis cn b usd wihin clssroom o ccommod h diffrn biliy lvls

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

V. Light amplification & Spontaneous emission

V. Light amplification & Spontaneous emission V. Lgh mplfon & Sponnous msson nrgy Lsrs r bsd on onnous msson nd lgh mplfon, hh r nds of qunum phnomnon. Ths hpr qunum mhnlly dsrbs lgh mplfon. nrgy lvl of n om A mr s omposd of oms, nd n om s omposd

More information

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

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

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

Partition Functions for independent and distinguishable particles

Partition Functions for independent and distinguishable particles 0.0J /.77J / 5.60J hrodynacs of oolcular Syss Insrucors: Lnda G. Grffh, Kbrly Haad-Schffrl, Moung G. awnd, Robr W. Fld Lcur 5 5.60/0.0/.77 vs. q for dsngushabl vs ndsngushabl syss Drvaon of hrodynac Proprs

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Chapter 4 A First Analysis of F edback edbac

Chapter 4 A First Analysis of F edback edbac Chr 4 A Fr Anly of Fbck 4. h Bc quon of Conrol On-loo ym - Ouu - rror - On-loo rnfr funconolf Clo-loo ym U Uny fbck rucur hr xrnl nu: - : rfrnc h ouu xc o rck - W: urbnc - V : nor no Ouu: ffc by boh nu

More information

Applying Software Reliability Techniques to Low Retail Demand Estimation

Applying Software Reliability Techniques to Low Retail Demand Estimation Applyng Sofwar Rlably Tchnqus o Low Ral Dmand Esmaon Ma Lndsy Unvrsy of Norh Txas ITDS Dp P.O. Box 30549 Dnon, TX 7603-549 940 565 3174 lndsym@un.du Robr Pavur Unvrsy of Norh Txas ITDS Dp P.O. Box 30549

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Errata for Second Edition, First Printing

Errata for Second Edition, First Printing Errt for Scond Edition, First Printing pg 68, lin 1: z=.67 should b z=.44 pg 1: Eqution (.63) should rd B( R) = x= R = θ ( x R) p( x) R 1 x= [1 G( x)] = θp( R) + ( θ R)[1 G( R)] pg 15, problm 6: dmnd of

More information

A House to Come Home to

A House to Come Home to A Hous o Com Hom o Grds 9-12 Ovrvw: In hs lsson, sudns xplor h vrous lods srucur cn xprnc n sunm nd possbl dsgn soluons o dcrs h lklhood of srucurl flur. Trgd Alsk Grd Lvl Expcons: Scnc [9] SA1.1 Th sudn

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

Theoretical Study on the While Drilling Electromagnetic Signal Transmission of Horizontal Well

Theoretical Study on the While Drilling Electromagnetic Signal Transmission of Horizontal Well 7 nd ntrntionl Confrnc on Softwr, Multimdi nd Communiction Enginring (SMCE 7) SBN: 978--6595-458-5 Thorticl Study on th Whil Drilling Elctromgntic Signl Trnsmission of Horizontl Wll Y-huo FAN,,*, Zi-ping

More information

Filter Design Techniques

Filter Design Techniques Fltr Dsgn chnqus Fltr Fltr s systm tht psss crtn frquncy componnts n totlly rcts ll othrs Stgs of th sgn fltr Spcfcton of th sr proprts of th systm ppromton of th spcfcton usng cusl scrt-tm systm Rlzton

More information

One dimensional steady state heat transfer of composite slabs

One dimensional steady state heat transfer of composite slabs BUILDING PHYSICS On dmnsonal sady sa a ransfr of compos slas Par 2 Ass. Prof. Dr. Norr Harmay Budaps Unvrsy of Tcnology and Economcs Dparmn of Buldng Enrgcs and Buldng Srvc Engnrng Inroducon - Buldng Pyscs

More information

LGOVNATDEFUSAAD

LGOVNATDEFUSAAD ECONOMETRIC PROBLEMS WITH TIME-SERIES DATA Sionriy: A sris is sid o covrinc sionry if is mn nd covrincs r unffcd y chng of im origin Qusion : Do you hink h following sris r sionry? Log Rl Nionl Dfnc Expndiurs

More information

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule Inrnaonal Journal of Compur Applcaons (975 8887) Volum 4 No.3, Fbruary 22 Transn Analyss of Two-dmnsonal Sa M/G/ Quung Modl wh Mulpl Vacaons and Brnoull Schdul Indra Assoca rofssor Dparmn of Sascs and

More information

SIMEON BALL AND AART BLOKHUIS

SIMEON BALL AND AART BLOKHUIS A BOUND FOR THE MAXIMUM WEIGHT OF A LINEAR CODE SIMEON BALL AND AART BLOKHUIS Absrac. I s shown ha h paramrs of a lnar cod ovr F q of lngh n, dmnson k, mnmum wgh d and maxmum wgh m sasfy a cran congrunc

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons of Falurs ovr Tm Rlably Modlng Exampls of Dsrbuon Funcons Th xponnal

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis Safy and Rlably of Embddd Sysms (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Safy and Rlably of Embddd Sysms Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons

More information

Option markets and the stochastic behavior of commodity prices 1

Option markets and the stochastic behavior of commodity prices 1 his is prliminry Wor. ls o no quo. Opion mrs n h sochsic bhior of commoiy prics Gonzlo Corzr Alro rys Ingnirí Inusril y Sisms onifici Unirsi Cólic Chil brury his is prliminry wor bs on h hsis Uilizción

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

An Inventory Model for Deteriorating Items with Quadratic Demand and Partial Backlogging

An Inventory Model for Deteriorating Items with Quadratic Demand and Partial Backlogging Brsh Journl of Appl Sn & hnology (): - 0 SCIECEDOMAI nrnonl wwwsnomnorg An Invnory Mol for Drorng Ims wh Qur Dmn n Prl Bkloggng R Bgum S K Shu n R R Shoo Dprmn of Mhms Pmn Collg of Engg Rourkl-76900 Osh

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

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