Hybrid Motion Blending Algorithm of 3-Axis SCARA Robot using Parametric Interpolation

Size: px
Start display at page:

Download "Hybrid Motion Blending Algorithm of 3-Axis SCARA Robot using Parametric Interpolation"

Transcription

1 Hybr Moon Blnng Algorhm of 3-Ax SCARA Robo ung Prmrc Inrpolon Auhor: J Hun Ju Won J Chung K Bom Pr Song Jo L K Sng L School of Mchronc, Chngwon Nonl Unvry Eml: uh87@n.com Tl: , Fx: Ar: School of Mchronc, Chngwon Nonl Unvry Chngwon, , Souh Kor ABSTRACT In orr o mplmn connuou-ph moon on robo, ncry o bln on on moon o nohr on moon nr v pon n rpzol form of on vlocy. Fr, h vlocy uprpoon ung prmrc nrpolon propo. Hybr moon blnng fn h blnng of ffrn wo yp moon uch blnng of on moon wh lnr moon, n h nghborhoo of v pon. Scon, hybr moon blnng lgorhm propo b on vlocy uprpoon ung prmrc nrpolon. By ung 3- x SCARA (Slcv Complnc Ambly Robo Arm) robo wh LbVIEW conrollr [], h vlocy uprpoon lgorhm ung prmrc nrpolon hown o rul n l vbron, compr wh PTP (Pon- To-Pon) moon n Km lgorhm []. Morovr, h hybr moon lgorhm mplmn on h robo ung LbVIEW [] progrmmng, whch confrm by howng h n-ffcor ph of on-lnr hybr moon. Kywor: Vlocy uprpoon, prmrc nrpolon, Hybr moon blnng, 3-x SCARA Robo, Connuouph. INTRODUCTION In gnrl, h movmn rgy of nurl robo cn b v no wo n,.., PTP (Pon o Pon) n CP (Connuou Ph) [3]. Erly nurl robo n m proucon ln hv bn mnly u for mpl n rv ob n whch PTP moon nough. In rcn, nurl robo whch houl b co-wor wh mchn ool r ncrngly n for prformng vrou ob, wll mpl hnlng or wlng. Accorngly, n orr o cop wh hgh-p hnlng of worpc for h coopron of nurl robo wh mchn ool or ohr vc, CP houl b mplmn o o ruc vbron n no, wll crng opron m. A hown n Fg. -(), h PTP moon cn rul n ll moon v pon. Whr, v pon rfrnc for plnnng nw ph from rng pon o nng pon whou ny ll moon. () PTP moon (b) CP moon Fg. PTP moon v. CP moon In orr o mplmn CP moon on robo, ncry o bln on on moon o nohr on moon nr h v pon n rpzol form of on vlocy hown n Fg.. In pcfc, blnng moon mn h uprpoon of h vlocy (rpzol) profl of on on moon gmn on nohr on moon gmn n rm of m, n h nrby of v pon. A rul, boh h cr of movng m n h rucon of vbron cn b obn. Km [] propo h blnng moon lgorhm, conrng ll h c of uprpoon. Bu Km lgorhm cnno prov hybr moon blnng uch blnng of on moon wh lnr moon bcu ffcv only for homognou blnng of on moon wh on moon. Hr h lnr moon mn h moon of whch on ngl (or vrbl) houl b obn from nvr nmc, gvn h lnr ph of n n-ffcor.

2 Jon Vlocy P P = MAX () ( mx cclfcor) P P = MAX (3) ( mx clfcor) Tm Fg. Suprpoon of vlocy In h ppr, hybr moon blnng lgorhm nclung vlocy uprpoon propo by ung prmrc nrpolon. By ung 3-x SCARA robo wh LbVIEW conrollr, h mpl lgorhm hown o rul n l vbron, compr wh PTP moon n Km lgorhm. Morovr, h hybr moon lgorhm mplmn on h robo ung LbVIEW progrmmng, whch confrm by howng h n-ffcor ph of on-lnr hybr moon.. VELOCITY SUPERPOSITION USING PARAMETRIC INTERPOLATION For vlocy uprpoon, h boh cclron/clron m n conn-p m houl b h m for ll h on of robo. Th cn rul n mooh moon wh low vbron. Th vlocy uprpoon ung prmrc nrpolon cn b r by fnng h m,, whch pcf p whou cclron n clron con: ( + ) = (4) whr mx h mxmum cclron for h -h on; mx h mxmum clron for h -h on. Th cclfcor n clfcor r h conn rngng 0 o. Th ol m of movmn,, gv by = + + (5) ol ( ) Whn + <, h ngv vlu from quon (4). In h c, o b 0, whch chng h rpzol vlocy profl no rngulr on. Thn quon (4) bcom + = (6) If w um mx cclfcor =, quon () bcom ol P P = V (pfcor [0,]) () mx pfcor P P = (7) whr h numbr of on; n, r h n n r pon, rpcvly; V mx h mxmum p of h -h on. Th pfcor conn rngng from 0 o. For xmpl, Spfcor cn b lc 0.7 whn r p o b 70% of h mxmum on p. Nx, h mxmum of ( =,, n, n: h numbr of on gr of from),.., cn b lc, whch cn b u for clculng h long cclron m, conn-p m, h long clron m (whch r llur n Fg. ) ung quon (), (3) n (4), rpcvly. P P whr nc h on numbr corrponng o h long cclron m. Smlrly, f w uppo mx clfcor =, quon (3) l o P P = (8) whr no h on numbr corrponng o h long clron m. W cn ly fn by olvng h quon (6), (7) n (8). Conqunly w hv P P = (9) ( P P + P P ) P P = (0) ( P P + P P ) Fg. Trpzol vlocy profl

3 B on quon (9) n (0) whch m boh cclron n clron m b h m for ll h on, h prmr u() cn b nrouc follow: P ( u( )) = P u( )( P P ), u [0,] () whr u() pn from 0 o, hvng y rol of ynchronzng ll h on n cclron n clron m. Hr nc h numbr of on x; P no h n poon of -h on, P no h r poon of -h on. I cn b worh nocng h u() P, whl u() 0 P. Epclly h prmr u() no h ro of h mov nc l urng lp m o h ol movmn L, whch cn b fn by l u( ) = () L 3: C ol ol ( ol ) u( ) = (6) ( + + ) By ubung quon (4), (5) n (6) o quon (), h poon of -h on m cn b clcul by ung h prmr u(). Rfrrng o Fg. 4, h vlocy uprpoon ung prmrc nrpolon cn b propo follow: 0 < b P u ( )) = P v u ( )( P P ) (7) ( < b b v P ( u( ), u( ) = P u )( v P ) u ( )( P P ) (8) ( v v Th mnng of l n L r llur n Fg. 3. I houl b noc h h prmr u() cn b ppl o ll h on mulnouly. 3 b P ol u ( )) = P v u ( )( P P ) (9) ( v v Tol movmn = L whr h ubcrp v no h v pon. Th ubcrp, n 3 mn h con, n 3, rpcvly, hown n Fg. 4. Th uprpoon m, b < b, houl b lc h l m bwn h clron m of h prcng rpzol vlocy profl n h cclron m of h followng on. Vlocy 3 Fg. 3 Mnng of l n L Th ol movmn L cn b ly rv follow: L = v + v + v (3) whr v nc h conn-vlocy hown n Fg. 3. Th prmr u() cn obn for 3 c follow: C : 0 < u( ) = (4) ( + + ) C : < ol u ( ) = (5) ( + + ) b Fg. 4 Concp of vlocy uprpoon Tm Whn compr wh Km blnng lgorhm, h propo vlocy uprpoon lgorhm ung prmrc nrpolon mor conc bcu o no hv o conr ll h c of uprpoon. Morovr h con of xprmn wll how h h propo lgorhm cn rul n l vbron whn mplmn on 3-x SCARA robo, n compron wh Km blnng lgorhm of on moon. b ol

4 3. HYBRID MOTION BLENDING ALGORITHM USING PARAMETRIC INTERPOLATION A mnon n Scon, hybr moon blnng fn h blnng of ffrn wo yp moon uch blnng of on moon wh lnr moon, n h nghborhoo of v pon. In h ppr, hybr moon blnng lgorhm propo b on vlocy uprpoon ung prmrc nrpolon. Th yp of moon cn b clf no 3 cgor; on moon, lnr moon, n crculr moon. In h ppr, on n lnr moon r xcluvly lc for xplnon. Rfrrng o quon (), on moon gmn cn b crb by PTP moon n Km lgorhm []. Th on-lnr (hybr) moon blnng wll b lo xprmn on h robo o h h blnng moon wll b hown o rc on-lnr ph. In vnc, ncry o ummrz Km lgorhm [] n h followng. For h vlocy uprpoon of h fr rpzol vlocy profl wh h con on hown n Fg. 5, Km lgorhm compo of 8 c hown n Fg. 5. In prculr, Fg. 6-(c) llur h c n whch h rcon of wo vlocy profl r oppo o ch ohr,.., (v_mx) (v_mx) < 0. Hr v_mx n v_mx r h conn p of h fr n h con vlocy profl, rpcvly, hown n Fg. 5. J ( u( )) = J u( )( J J ), u [0,] (0) whr J(u()) no on poon; h ubcrp n nc n n r, rpcvly. Smlrly, lnr moon gmn cn b gvn by L( u( )) = P u( )( P P ), u [0,] () whr L(u()) no poon of n n-ffcor n Crn coorn. Epclly P n P nc h n n r poon of h n-ffcor n Crn coorn. Equon cn b r-wrn n on coorn follow: : m from r pon o v pon : m from v pon o n pon Fg. 5 Concp o f Km blnng J ( u( )) = InvKn( L( u( ))) = InvKn( P u( )( P P )), u [0,] () whr InvKn( ) no h nvr nmc roun. Th propo hybr moon blnng houl b mplmn n on coorn on h b of m x. For xmpl, h ( )-h on moon gmn n h - h lnr moon gmn cn b bln n on coorn follow: J B ( u ( ), u ( )) = InvKn( L( u ( ))) + J ( u ( )) J (3) = InvKn( L( u ( ))) u ( )( J,, J, ) () [Fr clron m Scon cclron m] whr h uprcrp no h numbr of on x. 4. EXPERIMENT In orr o llur h ffcvn of h propo hybr moon blnng, h vlocy uprpoon ung prmrc nrpolon (cn b rm on-on moon blnng), whch b of hybr moon blnng, wll b xprmn on h 3-x SCARA [4] robo wh LbVIEW conrollr n compr wh h rul of boh (b) [Fr clron m > Scon cclron m]

5 y x (c) (v_mx) (v_mx) < 0 40mm 00mm Fg. 6 8 c of uprpoon for Km lgorhm In h mnwhl, h propo vlocy uprpoon ung prmrc nrpolon n Scon cn ovrlp wo vlocy profl brfly. In orr o compr h prformnc of h propo vlocy uprpoon wh Km lgorhm n h ronl PTP moon (no blnng), h cul mplmnon of 3 lgorhm r prform by ung h 3-x SCARA robo hown n Fg. 7. A hown n Fg. 8, h LbVIEW moon vc wh grphcl progrmmng h bn u for h conrollr of h robo [5]. () (b) Fg. 9 Exprmn conon of 3 x-scara robo For h prformnc of 3 lgorhm nclung PTP, Km lgorhm n h propo vlocy uprpoon ung prmrc nrpolon, h vbron murmn ung h FFT (F Fourr Trnform) nlyzr of Zonc h bn crr ou hown n Fg. 0. Fg. 0 Vbron murmn of 3 x-scara robo Fg. 7 3-x SCARA robo Fg. 8 Grphcl Progrmmng of LbVIEW Exprmn conon r follow. followng. B on h Crn coorn pcf n Fg. 9-(), h r pon (-00, 00), whr h n pon (00, 00) wh v pon of (0, 440), hown n Fg. 9-(b). Th pfcor, cclfcor n clfcor r 0.5, rpcvly, for h mxmum (conn-p) vlocy of 50 r/ n h mxmum cclron/clron (500 r/ ). Th rul of vbron murmn for 3 lgorhm r llur n Fg., n 3, rpcvly. A xpc, h lp m of PTP lgorhm for movng h robo from h r poon o h n poon h long, 6, compr wh ohr lgorhm (bou 3 ). Th roo-mn-qur (rm) vlu of vbron cclron n h un of grvonl cclron (g) r l Tbl. I cn b noc h h propo vlocy uprpoon ung prmrc nrpolon cn ruc h vbron cclron by / of h vbron cclron for PTP, by / of h vbron cclron for Km lgorhm. Thrfor cn b conclu h h propo vlocy uprpoon (pcfclly on-on blnng) lgorhm ung prmrc nrpolon cn b ffcv n rulng low vbron wh f movmn, compr o h xng lgorhm of PTP n Km lgorhm. 6 Fg. Rul of vbron murmn for PTP

6 5. CONCLUSION Fg. Rul of vbron murmn for Km lgorhm Fg. 3 Rul of vbron murmn for h propo vlocy uprpoon Tbl Vbron cclron of 3 lgorhm Algorhm g [rm] n g [rm] Tm x-coor. n y-coor, () PTP Km Algorhm Propo Algorhm A l, h fnl xprmn of hybr moon (pcfclly on-lnr) blnng lgorhm gvn by quon (3) h bn prform o how ffcvn by mng h pn ch o h robo rw h ph of n-ffcor hown n Fg. 4. Th cn vrfy h h propo hybr moon blnng wor ffcnly for fbl mplmnon. V pon 3 Lnr nrpolon 3 Jon nrpolon Fg.4 Ph of Hybr Moon Blnng In gnrl, h movmn rgy of nurl robo cn b v no wo n,.., PTP n CP. In orr o mplmn CP moon on robo, ncry o bln on on moon o nohr on moon nr v pon n rpzol form of on vlocy. Fr, h vlocy uprpoon ung prmrc nrpolon h bn propo. Hybr moon blnng fn h blnng of ffrn wo yp moon uch blnng of on moon wh lnr moon, n h nghborhoo of v pon. Scon, hybr moon blnng lgorhm h bn propo b on h vlocy uprpoon ung prmrc nrpolon. By ung 3-x SCARA robo wh LbVIEW conrollr, h vlocy uprpoon lgorhm ung prmrc nrpolon h bn hown o rul n l vbron, compr wh PTP moon n Km lgorhm. Morovr, h hybr moon lgorhm h bn uccfully mplmn on h robo ung LbVIEW progrmmng, whch h bn confrm by howng h n-ffcor ph of on-lnr hybr moon. 6. ACKNOWLEDGMENT Th rrch w fnnclly uppor by h Mnry of Commrc, Inury n Enrgy (MOCIE) n Kor Inurl Tchnology Founon (KOTEF) hrough h Humn Rourc Trnng Proc for Rgonl Innovon 7. REFERENCES [] Nonl Inrumn Corporon. Moon conrol Funmnl cour Mnul, [] D. Y. Km, Dvlopmn of nw wvng Algorhm ung Bzr Spln n A uy on h Rlzon of CP(Connuou Ph) Moon wh Jr Connuy, Mr of Engnrng r, School of Mchronc, Chngwon Nonl Unvry, 004. [3] K. S. Fu, R.C. Gonzlz n C.S.G L,, ROBOTICS, pp49-00 [4] J. H. Ju. Mon-Crlo Smulon Tchnqu for Erro r Anly of 3-x SCARA Robo ung Obrvbly, MSV07.pp0-07 [5] J. H. Km. Prooypng n Vulzon Tchnqu of 3-x SCARA Robo Ung DOE n LbVIEW, MSV07.pp34-40 [6] Nonl Inrumn, LbVIEW Funmnl, 005

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

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

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

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

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

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Designing a cost-time-quality-efficient grinding process using MODM methods

Designing a cost-time-quality-efficient grinding process using MODM methods Dgnng co-m-quly-cn grnng proc ung MODM mho Mym Mhjoob Dprmn o Inurl n Sym Engnrng, Foumn Fculy o Engnrng, Collg o Engnrng, Unvry o Thrn, Foumn, Irn Eml: mhjoob_m@u.c.r Abrc In h ppr mul-objcv mhmcl mol

More information

SYMMETRICAL COMPONENTS

SYMMETRICAL COMPONENTS SYMMETRCA COMPONENTS Syl oponn llow ph un of volg n un o pl y h p ln yl oponn Con h ph ln oponn wh Engy Convon o 4 o o wh o, 4 o, 6 o Engy Convon SYMMETRCA COMPONENTS Dfn h opo wh o Th o of pho : pov ph

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

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

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

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

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

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

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

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

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

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

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors Dfnton Th nvr of an n by n atrx A an n by n atrx B whr, Not: nar Algbra Matrx Invron atrc on t hav an nvr. If a atrx ha an nvr, thn t call. Proprt of Matrx Invr. If A an nvrtbl atrx thn t nvr unqu.. (A

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

A simple 2-D interpolation model for analysis of nonlinear data

A simple 2-D interpolation model for analysis of nonlinear data Vol No - p://oog//n Nl Sn A mpl -D npolon mol o nl o nonln M Zmn Dpmn o Cvl Engnng Fl o nolog n Engnng Yo Unv Yo In; m@ml Rv M ; v Apl ; p M ABSRAC o mnon volm n wg o nonnom o n o po vlon o mnng n o ng

More information

Copyright A.Milenin, 2017, AGH University of Science and Technology

Copyright A.Milenin, 2017, AGH University of Science and Technology Fn lmn nl for Ml Formng n Mrl ngnrng rof. r h. nż. nr Mlnn G nr of n n hnolog Krów oln -ml: mlnn@gh..l nnoon h fn lmn mho (FM) wl n ml formng n mrl ngnrng. h mho n rom mho h' wh rr h of horl rnng. h followng

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

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 Bn nr rh r: R-k r n -- r 00 Ing L Gør Amor n Dnm rogrmmng Nwork fow Srng mhng Srng nng Comuon gomr Inrouon o NP-omn Rnom gorhm Bn nr rh r -- r. Aow,, or k r no Prf n. Evr h from roo o f h m ngh.

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

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

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

Analysis of Laser-Driven Particle Acceleration from Planar Transparent Boundaries *

Analysis of Laser-Driven Particle Acceleration from Planar Transparent Boundaries * SAC-PUB-8 Al 6 Anl of -Dn Pcl Acclon fo Pln Tnn Boun * T. Pln.. Gnon oo Snfo Un Snfo CA 945 Ac Th cl lo h ncon wn onochoc ln w l n lc lcon n h nc of hn lcc nn oun. I foun h h gn of h ncon wn h l n h lcon

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

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

Introduction to Inertial Dynamics

Introduction to Inertial Dynamics nouon o nl Dn Rz S Jon Hokn Unv Lu no on uon of oon of ul-jon oo o onl W n? A on of o fo ng on ul n oon of. ou n El: A ll of l off goun. fo ng on ll fo of gv: f-g g9.8 /. f o ll, n : f g / f g 9.8.9 El:

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

Title. Author(s)Ito, Yasuhisa; Igarashi, Hajime. CitationIEEE Transactions on Magnetics, 49(5): Issue Date Doc URL. Rights.

Title. Author(s)Ito, Yasuhisa; Igarashi, Hajime. CitationIEEE Transactions on Magnetics, 49(5): Issue Date Doc URL. Rights. Tl Couon of Mcrococ Elcrognc Pror AuhorIo, Yuh; Igrh, ConIEEE Trncon on Mgnc, 495: 953-956 Iu D 3-5 Doc URL h://hlhnln/5/534 Rgh 3 IEEE Rrn, wh ron, fro Yuh Elcrognc Pror of Sof Mgnc Coo o hr wh ron of

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

ScienceDirect. ScienceDirec

ScienceDirect. ScienceDirec CRX_ / CR X_ / Q Q Q Q : R J : / // / J : / / N K * Jk k G U U U U N k U NC U : R k R J R H k - - - - - H - K: R - H - - V V V R - V V V - - L L H H - - C L H j q C L H j q k k k X k R k k X L k k k -

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

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

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

G. Ayyappan 1, J. Udayageetha 2

G. Ayyappan 1, J. Udayageetha 2 rol Jourl o S ovv hl rh JS olu 5 u 7 8-7 SS 47-7 r & SS 47-4 Ol O: hp://oor/4/47-45 wwwrjourlor Tr Soluo o / / rl uu y wh rory rv o roull o roull Fk v rrvl rkow ly rpr Sup lk Ayypp J Uyh pr o h ohrry Er

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

Section 3: Antiderivatives of Formulas

Section 3: Antiderivatives of Formulas Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin

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

Adaptive PID Controller for Dc Motor Speed Control

Adaptive PID Controller for Dc Motor Speed Control Inrnonl ournl of Engnrng Invnon ISSN: 78-7461, www.jjournl.co Volu 1, Iu 5 Sr01 : 6-30 Av ID Conrollr for Dc oor S Conrol A.Tfour Al 1, E Bhr. T n Or Bu lzn oh 3 1, School of Elcrcl n Nuclr Engnrng; Collg

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

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER ORDER DIFFERENTIAL EQUATIONS Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution

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

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

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören ME 522 PINCIPLES OF OBOTICS FIST MIDTEM EXAMINATION April 9, 202 Nm Lst Nm M. Kml Özgörn 2 4 60 40 40 0 80 250 USEFUL FOMULAS cos( ) cos cos sin sin sin( ) sin cos cos sin sin y/ r, cos x/ r, r 0 tn 2(

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

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

V A. V-A ansatz for fundamental fermions

V A. V-A ansatz for fundamental fermions Avan Parl Phy: I. ak nraon. A Thory Carfl analy of xprnal aa (pary volaon, nrno hly pn hang n nlar β-ay, on ay propr oghr w/ nvraly fnally l o h -A hory of (nlar wak ay: M A A ( ( ( ( v p A n nlon lpon

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

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

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

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

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

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

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

A H C H. for the homeless WRIGHT AND HAMMER FIRST STREET CAMPUS EXPANSION 1220 FIRST STREET, NW ALBUQUERQUE, NEW MEXICO. CITY OF ALBUQUERQUE - estamp

A H C H. for the homeless WRIGHT AND HAMMER FIRST STREET CAMPUS EXPANSION 1220 FIRST STREET, NW ALBUQUERQUE, NEW MEXICO. CITY OF ALBUQUERQUE - estamp W N MM 1 7 3 5 L O V, N.. L B U Q U Q U, N. M. CY LBUQUQU - emp W N MM C CONC NFOMON: N MM, POJ C 1735 LO V, N LBUQUQU, NM 87110 enise@wrightandammer.com C 1 2 2 0 F, N W JM L. W M X CO M CONULN OUP BY

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

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

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013 Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

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

- Double consonant - Wordsearch 3

- Double consonant - Wordsearch 3 Wh 3 Kn, Kn. Wh' h? Hpp. Hpp h? Hpp hy yu, Hpp hy yu! A h f h pg f. Th hn n h pu. Th h n p hny (ng ) y (ng n). Whn yu fn, n un. p n q q h y f h u g h q g u g u n g n g n q x p g h u n g u n y p f f n u

More information

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk Y M D B D K P S V P U D hi p r ub g rup ck l yu cn 7 r, f r i y un civi i u ir r ub c fr ll y u n rgncy i un pg 3-9 bg i pr hich. ff c cn b ll p i f h grup r b n n c rk ivii ru gh g r! i pck? i i rup civ

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

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Valuation of a Basket Loan Credit Default Swap

Valuation of a Basket Loan Credit Default Swap wwwcuca/jfr Inrnaonal Journal of Fnancal Rarch Vol No ; Dcmbr Valuaon of a Bak Loan Cr Dfaul Swa Jn Lang (Corronng auhor) Darmn of Mahmac ongj Unvry Shangha 9 PRChna l: +86--6598-34 x 6 E-mal: lang_jn@ongjucn

More information

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000 NU O HMB NRM UNVRY, HNOOGY, C 8 0 81, 8 3-1 01 CMBR, 0 1 1 l oll oll ov ll lvly lu ul uu oll ul. w o lo u uol u z. ul l u oll ul. quk, oll, vl l, lk lo, - ul o u v (G) v Gl o oll. ul l u vlu oll ul uj

More information

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued... Progrssiv Printing T.M. CPITLS g 4½+ Th sy, fun (n FR!) wy to tch cpitl lttrs. ook : C o - For Kinrgrtn or First Gr (not for pr-school). - Tchs tht cpitl lttrs mk th sm souns s th littl lttrs. - Tchs th

More information

b.) v d =? Example 2 l = 50 m, D = 1.0 mm, E = 6 V, " = 1.72 #10 $8 % & m, and r = 0.5 % a.) R =? c.) V ab =? a.) R eq =?

b.) v d =? Example 2 l = 50 m, D = 1.0 mm, E = 6 V,  = 1.72 #10 $8 % & m, and r = 0.5 % a.) R =? c.) V ab =? a.) R eq =? xmpl : An 8-gug oppr wr hs nomnl mtr o. mm. Ths wr rrs onstnt urrnt o.67 A to W lmp. Th nsty o r ltrons s 8.5 x 8 ltrons pr u mtr. Fn th mgntu o. th urrnt nsty. th rt vloty xmpl D. mm,.67 A, n N 8.5" 8

More information

(A) the function is an eigenfunction with eigenvalue Physical Chemistry (I) First Quiz

(A) the function is an eigenfunction with eigenvalue Physical Chemistry (I) First Quiz 96- Physcl Chmstry (I) Frst Quz lctron rst mss m 9.9 - klogrm, Plnck constnt h 6.66-4 oul scon Sp of lght c. 8 m/s, lctron volt V.6-9 oul. Th functon F() C[cos()+sn()] s n gnfuncton of /. Th gnvlu s (A)

More information

Eastern Progress - 3 Mar 1923

Eastern Progress - 3 Mar 1923 922-927 Kk U Y 923-3 923 Kk U //k/ 922-27/7 N VOLU WO X-COON O DUCON OG COND DON COUNY W WOOD LCD DO O NNUL NOC - N CL WNGON DY D Cx W Oz N WN GN O U N N C U D Y C 3 923 CUC OCL W NOD VN W C 9 NO OU UDN

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

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

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32 9 HAPT- hapr : MODIFID HFFON PHILLIP MODL.No Nam of h ub-tl Pag No.. Inroucon..3 Mollng of Powr ym Hffron Phllp Mol.4 Mof Hffron Phllp Mol 7.5 U of Mof Hffron Phllp mol n Mul- Machn ym 3 HAPT-.. Inroucon

More information

Physics 15 Second Hour Exam

Physics 15 Second Hour Exam hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.

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

Chapter 14: Optical Parametric Oscillators

Chapter 14: Optical Parametric Oscillators Qunum Oc f Phnc n Olcnc hn n, Cnll Un Ch : Ocl Pmc Ocll. Inucn In h Ch w wll cu n cl mc cll. A mc cll lm lk l. Th ffnc h h cl n n h c cm n fm uln n mum u fm nnln cl mum whch h h cn h h 3 cl nnln. Cn n

More information

The Equity Index Skew and Asymmetric Normal Mixture GARCH

The Equity Index Skew and Asymmetric Normal Mixture GARCH Th Unvry of Rng THE BUSINESS SCHOOL FOR FINANCIAL MARETS Th Equy In Sw n Aymmrc Norml Mur GARCH ISMA Cnr Dcuon Pr n Fnnc 4-4 Fr Vron: Ocobr 4 Crol Alnr ISMA Cnr Unvry of Rng Em Lzr ISMA Cnr Unvry of Rng

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

Higher Order Binaries with Time Dependent Coefficients and Two Factors - Model for Defaultable Bond with Discrete Default Information

Higher Order Binaries with Time Dependent Coefficients and Two Factors - Model for Defaultable Bond with Discrete Default Information po o. IU-MH-03-E--0: on Hgh O n wh Dpnn offcn n wo Fco - Mol fo Dfll on wh Dc Dfl Infoon Hong-hol O Yong-Gon n Dong-Ho Fcl of Mhc Il ng Unv Pongng D. P.. o c: In h cl w con fco-ol fo pcng fll on wh c fl

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

SCOUT DIRECTOR. %$*r' III uiun yunuinui TONIGHT FOR WORK. Newuk Ctititetut- Admission SO Centg. ef Mlit UHt. Oae Asmsar Riy Pretest Three Ranbtn

SCOUT DIRECTOR. %$*r' III uiun yunuinui TONIGHT FOR WORK. Newuk Ctititetut- Admission SO Centg. ef Mlit UHt. Oae Asmsar Riy Pretest Three Ranbtn ? % 9 CRC R C 2 8 [ C C FRNP CRC C C C P F P 6 & x P R R O 8> 8> F 30 C C NGC RN ZON C R P C C O ON RN OOOX P C R C P GR COC R6 C G F R R N P P 5 9 G () 930 8 0 08 FRPRN CRC R C C (G Y P 3 $3 R C C O C

More information

PHY2053 Summer C 2013 Exam 1 Solutions

PHY2053 Summer C 2013 Exam 1 Solutions PHY053 Sue C 03 E Soluon. The foce G on o G G The onl cobnon h e '/ = doubln.. The peed of lh le 8fulon c 86,8 le 60 n 60n h 4h d 4d fonh.80 fulon/ fonh 3. The dnce eled fo he ene p,, 36 (75n h 45 The

More information

Period vs. Length of a Pendulum

Period vs. Length of a Pendulum Gaphcal Mtho n Phc Gaph Intptaton an Lnazaton Pat 1: Gaphng Tchnqu In Phc w u a vat of tool nclung wo, quaton, an gaph to mak mol of th moton of objct an th ntacton btwn objct n a tm. Gaph a on of th bt

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

TOPIC 5: INTEGRATION

TOPIC 5: INTEGRATION TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

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

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

Canonical Quantizing of Spinor Fields: Anti-Commutation Relations

Canonical Quantizing of Spinor Fields: Anti-Commutation Relations JOURNA ON POTONICS AND SPINTRONICS VO.5 NO. MAY 6 ISSN - 857 Prn ISSN - 858 Onln h://www.rrh.org/jornl/j/j.hml Cnonl Qnzng of Snor Fl: An-Common Rlon D. Grn PhD Unvr of Brln* Ar Nw mg of hr nor ro on h

More information