Modal Analysis of Periodically Time-varying Linear Rotor Systems using Floquet Theory

Size: px
Start display at page:

Download "Modal Analysis of Periodically Time-varying Linear Rotor Systems using Floquet Theory"

Transcription

1 7h IFoMM-Confeene on Roo Dynams Venna Ausa Sepembe 2006 Modal Analyss of Peodally me-vayng Lnea Roo Sysems usng Floque heoy Chong-Won Lee Dong-Ju an Seong-Wook ong Cene fo Nose and Vbaon Conol (NOVIC) Depamen of Mehanal Engneeng KAIS Sene own Daejeon Koea Sunaeosys Co Songwon- Nam-myeon Yeong-gun Chungnam Koea Shool of Mehanal Engneeng Kumoh Naonal Insue of ehnology 188 Shnpyung Kum Kyungbuk Koea ABSRAC Geneal oo sysems possess boh saonay and oang asymme popees whose equaon of moon s haaezed by he pesene of peodally me-vayng paamees wh he peod of half he oaon. hs pape employs he Floque heoy o develop he omplex modal analyss mehod fo peodally me-vayng lnea oo sysems. he appoah s based on deomposon of sae anson max leadng o he peodally me-vayng egensoluons. he modal analyss appoah usng he Floque heoy s hen ompaed wh he modulaed oodnae ansfom mehod whh ansfoms he fne ode me-vayng max equaon no an equvalen nfne ode me-nvaan lnea equaon. KEY WORDS geneal oo sysem Floque heoy ll s nfne ode max deonal fequeny esponse funon 1 INRODUCION Aodng o he mehanal popees of he oo and sao pas oo sysems may be lassfed no fou ypes [6 10]: soop (symme) oo sysem - boh oo and sao pas ae axsymme; ansoop oo sysem - he oo pa s axsymme bu he sao pa s no; asymme oo sysem - he sao pa s axsymme bu he oo s no; geneal oo sysem - nehe oo no sao pas ae axsymme. he geneal oo sysem an asymme oo wh ansoop sao hus eveals he oupled effes of ansoop and asymme oo sysems. he asymme (ansoop) oo sysem may look lke a peodally me-vayng lnea sysem when he equaon of moon s wen n he saonay (oang) oodnaes bu an be easly ansfomed no a menvaan lnea sysem by ewng he equaon of moon n he oang (saonay) oodnaes. hus he asymme (ansoop) oo sysem alone essenally edues o a me-nvaan lnea sysem whose modal analyss sheme s well esablshed n he leaue [ ]. On he ohe hand he geneal oo sysem whh s nheenly a peodally me-vayng lnea sysem an no be ansfomed no a me-nvaan sysem by suh a smple oodnae ansfomaon. I leads o a dffuly n modal analyss of he geneal oo sysem due o mahemaal omplexy assoaed wh eamen of peodally me-vayng sysem maes. Many aemps have been made fo dynam analyss of peodally me-vayng lnea sysems by employng he peodally me-vayng egenveos [ ]. Sne hese mehods wee sly based on he me doman analyss he sably analyss was of majo onen. Fo example Snha e al. [14] poposed use of he Lapunov-Floque ansfomaon fo expandng he peod sysem maes n ems of he shfed Chebyshev polynomals of a same peod so ha he ognal dffeenal poblem edues o a se of lnea 1 Pape ID-78

2 algeba equaons. oweve he mehod s sll lmed o enhanemen of he sably analyss. Calo and Wesel [2] appled he Floque heoy o develop a modal analyss mehod fo peodally me-vayng onol sysems nodung he peodally me-vayng egenveos deved fom peody of he sae anson max. Alhough he modal analyss mehod s mahemaally sound eques he auae negaon of he sae anson max ove a peod and laks he naual exenson o he fequeny doman analyss. hee ae few nvesgaons on omplee modal analyss of peodally me-vayng sysems vald n boh me and fequeny domans. he majo dffuly s beause he onvenonal modal analyss developed fo lnea me-nvaan sysems anno be dely applable o lnea me-vayng sysems unless hey an be ansfomed no an equvalen me-nvaan sysem [3 14]. Iee [7] developed a mahemaal foundaon fo modal esng of peodally me-vayng oo sysems by expandng he peodally me-vayng modal veos n Foue sees and nodung an nuve bu no goously poven elaon beween modal paamees. In addon alhough he esulng mahemaal eamens ae found o be oe nehe he ompuaonal poedue fo egensoluons no he fequeny doman analyss fo modal esng was desbed. Fo asymmeal oos wh soop saos he peodally me-vayng lnea dffeenal equaon expessed n he saonay oodnaes an be ansfomed o he me-nvaan lnea dffeenal equaon expessed n he oang oodnaes o n he modulaed saonay oodnaes [15]. hen he modal analyss beomes essenally he same as he odnay omplex modal analyss mehod developed fo ansoop oos whh possess asymme popees only n he sao pa [8 12]. On he ohe hand he asymme oo sysem wh ansoop sao anno be ansfomed o a fne ode equaon of moon wh he me-nvaan paamees by oodnae ansfomaon only. In hs pape he omplex modal analyss of peodally me-vayng lnea oo sysems s developed usng he Floque heoy and s ompuaonal effeny n alulaon of egensoluons s dsussed ompaed wh he use of he edued ode ll s max whh esuls fom he modulaed oodnae ansfom appoah. 2 COMPLEX MODAL ANALYSIS OF PERIODICALLY IME-VARYING ROOR SYSEMS 2.1 Equaon of moon n omplex fom Fo a oo sysem wh oang and saonay asymmey he equaon of moon an be onvenenly wen n he omplex saonay oodnaes efeng o Fg.1 as [ ] M (1) 2 () () () { () () ()} j Ω f p + Cf p + Kf p + Mbp + Cb p + Kbp + e { Mp() + Cp() + Kp ()} = g() ee he N 1 omplex esponse and foe veos p () and g() defned by he eal esponse veos y() and z() and he eal exaon veos f () and f () espevely ae y z p() = y() + jz() p() = y() jz() g() = f () + jf () g() = f () jf () (2) y z y z Dsk y Ω ξ Shaf x Beang η z Fgue 1: Geneal oo sysem: smple analyss model whee j means he magnay numbe; N s he dmenson of he omplex oodnae veo; g() nludes he foe and momen; Ω s he oaonal speed; - denoes he omplex onjugae; M C and K denoe he omplex valued N N genealzed mass dampng and sffness maes espevely; and he subsps f and b and efe o he mean value and he devao values fo ansoopy (saonay asymmey) and asymmey 2 Pape ID-78

3 (oang asymmey) espevely. Fo an soop oo C 0 ; fo an ansoop b = Kb = M = C = K = oo M 0; and fo an asymme oo 0. Noe hee ha he peodally me-vayng = C = K = Cb = Kb = ems whh ae peeded by j 2 e Ω n Eq. (1) nheenly appea as boh oang and saonay asymmees exs n he sysem and ha Eq. (1) nludes he exenal and nenal dampng gyosop momen and Cools effe. When ehe oang o saonay asymmey does no exs he equaon of moon beomes o an be ansfomed o a me-nvaan dffeenal equaon. In he followng seon he Floque heoy s appled fo omplex modal analyss of he peodally mevayng lnea oo sysem (1). And s ompuaonal effeny n alulang he unbalane esponse and he dfrfs s dsussed. 2.2 Complex modal soluon by Floque heoy (1) Egenvalue and adjon poblems whee Fom Eq. (1) and s omplex onjugae fom he omplex equaon of moon an be onsued as M() q () + C() q () + K() q() = f() (3) () { q = p () p () } { = } f() g () g () j2ω j2ω j2ω Mf M e M() = C C e b +C f C() = Kf K e b +K K() = j2ω j2ω j2ω Me Mf Cb + Ce Cf K b +Ke Kf Equaon (3) an be ewen n he sae spae fom as whee 0 M() A() = M() 0 B() = M() C() 0 K() A() w () =B() w () +F() (5) (4) q () 0 w () = F() =. (6) q () f () Ulzng he Floque heoy fo hs peodally me-vayng sysem n homogeneous pa of Eq. (5) wh he peod = π / Ω we an expess he 4N 1 omplex sae veo w() n ems of he sae anson max Φ() as [ ] w() = Φ(0) w 0 (7) whee (0) sasfes he dffeenal equaon subje o he nal ondon Φ(00) = I N N Φ 4 4 ( ) Φ (0)= A 1 () B() Φ(0) and he max deomposon elaon gven subje o R(0) = R( ) by [9 2] J 1 Φ (0)= R() e R (0). (9) ee J s he Jodan nomal fom of max whose dagonal enes µ = N ae emed Ponae exponens equvalen o he egenvalues fo me-nvaan sysems. Subsung = no Eq. (9) we oban J 1 Φ ( 0)= R(0) e R (0) o equvalenly [ ] (8) Φ( 0) ω IR(0)= 0. (10) I mples ha ω and ae he egenvalues (haaes mulples) and he oespondng max = e µ R(0) of egenveos espevely of he monodomy max Φ( 0). Subsung Eq. (9) no Eq. (8) we oban R 1 () = A () B () R () R 1 () J o equvalenly () = A () B() µ I () (11) whee () s a olumn veo of R(). Now we an onsu he adjon poblem nodung he adjon sae veo z () o he ognal sysem (5) wh F() = 0 as [2 9] 3 Pape ID-78

4 fom whh we an defne he adjon max L () suh ha L A B L L 1 () = () () () + () whee l () s a olumn veo of L (). We an ewe Eq. (11) usng he deny elaon z ()= A 1 () B() z () (12) J o equvalenly 1 { } l () = A () B() µ () I l 1 R() R ()= I as (13) R () = R () A () B () + JR 1 (). (14) Fom de ompason of Eq. (13) wh Eq. (14) we an oban he bohonomaly ondon as [2] whee j L () R() = I o equvalenly 4N 4N l () () ; j = 1 o 4N (15) j = δ j δ s he Koneke dela he supesp means he anspose and () and l () ae he -h olumn veo of R () and L() espevely. (2) Suue of he egenveos and he adjon veos Subsung he elaon { } homogeneous pa of Eq. (5) we oban he elaon gven by w () = q () q () = () η() wh q() u () η() and Eq. (11) no he { + µ } = () = u () u () u (). (16) Lkewse subsung he elaon z() = l () ζ () wh l () =A () l () and Eq. (13) no he adjon equaon (12) we oban he elaon gven by 1 { µ } v () () () + () () M M v l =. (17) v () ee he modal and he adjon veos ae omposed espevely of () { u () ˆ () } = u u { ˆ } v () = v () v () (18) and fo he omplex equaon of moon as n Eq.(1) holds n geneal uˆ( ) u () vˆ () v (). (19) Noe ha he egenveo ( ) (and hus u ( )) and he adjon veo l( ) (and hus v( )) ae peodally mevayng veos wh he peod = π / Ω. Fo he me-nvaan sysem.e. () = l () = A l A() = A and B() = B Eqs. (11) and (13) and Eqs. (16) and (17) edue o he fom of µ A = B µ A l = B l (20) and { µ } = u u = { µ v } v espevely whh ae onssen wh he pevous esuls n [11]. l u = { u u ˆ } { ˆ } v = v v (21) 4 Pape ID-78

5 (3) Modal equaons and egensoluons he omplex sae and adjon veos w() and z() an be expanded n ems of he egenveos and he adjon veos espevely fo he oo sysem (5) as 4N N w () = { () η() } = '{ () η() } 4N { } N = ζ = { = 1 =BF =N z () l () () ' l () ζ () } (22) = 1 = BF =N whee he pme noaon n he summaon mples exluson of = 0 η () and ζ () ae he pnpal oodnaes of he ognal and adjon sysems espevely and he supesps B and F efe o he bakwad and fowad modes espevely followng he well-esablshed onvenon fo mode lassfaon n oodynams [11]. Subsung Eq. (22) no Eq. (5) usng he elaon (11) pemulplyng by l k and usng s he bohonomaly ondon (15) we an oban he 4N ses of omplex modal equaons of moon as η () = µ η () + v () f() = µ η () + v () g()+ vˆ () g() ; = ±1 ±2 ±N ; = B F. (23) Reallng he Floque heoy ha fom he one peod soluon he ene me esponse of he egensoluons an be expessed peodally wh he base of ha peod we an expand he egenveo u () and he adjon veo () n Eq. (18) by Foue sees as [7] v j2mω j2mω ˆ ˆ = ( m) e u = ( m) e m= m= u () u () u v j 2 mω j () ˆ ˆ 2 mω = v ( m) e v () = v ( m) e (24) whee u ae he omplex Foue oeffen veos assoaed wh he omplex ( ) ˆ m u ( m) v ˆ ( m) and v( m) j2m hamon funon of e Ω. Fom Eqs. (23) and (24) we an oban he foed esponse of he geneal oo sysem (5) as N m= m= N ( 2 )( ) { } { ˆ 0 ( ) ( ) ; ( ) ( ) ; } + j mω η m m n n τ m mn n p ( ) = ' u ( ) ( ) = ' e µ τ u v g ( ) + u v g ( τ ) d τ (25) =BF = N =BF =-N m= n= whee g = g. 2 ; () () e j n Ω n (4) De numeal soluon mehod In hs de modal analyss appoah fo he peodally me-vayng paamee sysem (1) he egenvalues and he oespondng peodally me-vayng egenveos an be analyally obaned fom Eqs. (8) o (15) a leas n heoy. oweve he losed fom soluons ae lmed only o a few smple ases beause of mahemaal omplexy. Fo mos of paal applaons numeal appoah s nsead aken as follows. Fs he monodomy max Φ( 0) s obaned by numeal negaon of Eq. (8) wh espe o me fo gven A() B() and nal ondon Φ(00) = I. Seond he haaes mulples ω 4N 4N and he oespondng max of egenveos R(0) of Φ ( 0) ae alulaed fom Eq.(10). hen he Jodan nomal µ = log ω / and R() an be solved by numeal fom of max J s fomed wh s dagonal enes ( ) negaon of Eq. (11) wh he nal ondon R(0). he same poedue apples o he adjon max L() usng R() and he bohonomaly ondon (15). Noe ha one he peodally me-vayng modal (adjon) veos ae obaned alulaon of he Foue oeffen modal (adjon) veos whh ae onsan veos n Eq. (24) beomes saghfowad. Alhough he above poedue looks lke a novel analyal appoah one of s al dawbaks s he numeal nsably sne suffes fom seous aumulaed eo wh exensve numeal negaon poesses [5]. Fo example he omplex Foue oeffen modal (adjon) veos ae vey vulneable o he numeal eos wh R() and L(). 5 Pape ID-78

6 (5) Infne ode deonal fequeny esponse max (dfrm) Foue ansfomng Eq. (25) we oban P u v u vˆ N N ( m) ( mn) ( m) ( mn) ( jω) = ' ( ω) ' ˆ G;n j + G; -n( jω) n= m= = BF = N j( ω 2 mω) µ m= = BF =N j( ω 2 mω) µ n= { ˆ g ( jω) ;n( jω) ( jω) ; ;-n( jω) ;-n p G g-n p G } = + (26a) whee P ( jω) G ( jω) and G ˆ ( jω) ae he Foue ansfoms of p () g () and g () espevely and holds { ω } Gˆ ( jω) = ˆ { j ( ω + 2 nω ) } G; n( jω) = G j( 2 nω) ; n G. (26b) Alhough hee ae sll an nfne numbe of dfrms n Eq. (26) we nodue fou dfrms ha ae mpoan n haaezng he sysem asymmey and ansoopy as N um ( ) v m ( ) ( jω) = g ( ) ' ;0p jω = m= = B F =N j( ω 2 mω) µ N um ( ) v ( m) ˆ ( jω) = ( jω) = ' ;0 (27) g p m= = B F =N j( ω 2 mω) µ N um ( ) v ( m+ 1) ( jω) = ( jω) = ' m= = B F =N j( ω 2 mω) µ g; 1p N um ( ) v m ( 1) ( jω) = ( jω) = ' m= = B F =N j( ω 2 mω) µ g; 1p ee ( jω) s efeed o as he nomal dfrm ha epesens he sysem symmey ˆ ( jω) s efeed o as he evese dfrm ha epesens he effe of sysem ansoopy and ( jω) and ( jω) ae he modulaed dfrms ha epesen he effe of sysem asymmey and he oupled effe of sysem ansoopy and asymmey espevely. 2.3 Complex modal soluon by oodnae ansfomaon I has been poven ha noduon of omplex modulaed oodnaes suessfully ansfoms he fne ode me-vayng max equaon no an equvalen nfne ode me-nvaan lnea equaon leadng o an nfne se of onsan egensoluons [6]. hen he modal analyss of he me-nvaan lnea sysem beomes saghfowad defnng he ll s nfne ode max. I an be easly shown ha he modulaed oodnae ansfom appoah leads o he expessons fo he dfrms denal o Eqs.(26) and (27). oweve he numeal poedues fo he dfrm esmaes ae dffeen fom eah ohe. In paula he unaon shemes of he nfne sees expanson (o equvalenly he nfne summaon) wh espe o he ndex m ae dffeenen. Fo example unaon of he nfne summaon s done wh he omplex Foue sees expanson of he peodally me-vayng egenveos Eq.(24) fo he Floque appoah wheeas he ode eduon s done wh he ll s nfne ode max fo he oodnae ansfom appoah [6]. 3 NUMERICAL EXAMPLE hs seon demonsaes and ompaes he modal analyss mehods wh a smple ye geneal oo sysem model whh onsss of a gd oo wh asymme mass momens of nea a massless shaf wh asymme shaf sffnesses and wo ohoop beangs as shown n Fg. 1. he dealed despons of he oo model ae eaed n [6 12]. he egensoluons of he analyss oo model wee alulaed by usng he Floque appoah wh he hee em appoxmaon (he ndex m was aken o be -1 0 and 1 n Eq. (24)) fo he omplex Foue sees expanson of he me-vayng egenveos. he alulaed egenvalues wee n good ageemen wh hose fom he edued ll s max of ode 24 whh was found o yeld faly auae esuls [6]. Fgue 2 ompaes he ypal unbalane esponses of he oo alulaed by fou dffeen mehods. Noe ha boh he edued ll s max of ode 24 and he Floque s mehod wh hee em appoxmaon yelded non-dsngushable esuls fom he exa numeal one. Boh mehods ae found o be supeo n alulaon of unbalane esponse o he onvenonal hamon balane mehod [4] as shown n Fg Pape ID-78

7 Z (mm) Y (mm) Fgue 2: Unbalane esponse a 4000 pm ( δ = = 0.3): Numeal negaon; ll s max of ode 24; Floque s mehod; amon balane mehod Fgues 3 and 4 ompae he waefall plos fo he magnude of he fou mpoan dfrfs (gven n Eq.(27)) obaned by he Floque mehod usng he hee em appoxmaon and he edued ll s max of ode 24 espevely as he oaonal speed s vaed up o pm fo he analyss oo model wh δ = = 0.3. he numbe of assumed modes used fo alulaon of dfrfs s kep unhanged fo he lae mehod bu vaes fo he fome mehod dependng upon he ype of dfrfs due o he nheen naue of appoxmaon. I ofen leads o elavely lage dsepanes n he logahmally saled dfrf esmaes obaned by wo mehods. he dfrfs shown n Fgs. 3(a) and 4(a) ae almos denal bu ohe ypes of dfrfs show some dsepanes wh he ode of magnude less by 5 o 6 han he domnan peak values n he nomal dfrfs whh oesponds pehaps o he measuemen nose level n pae. he oveall ends of he dfrfs paulaly he esonan peaks ae no muh dffeen fo boh mehods. Some dsepanes ae howeve noable a he an-esonan egons and nea he unsable egons. In geneal he numbe of assumed modes used n he Floque mehod s less han o equal a bes o he oodnae ansfom mehod. hus an be onluded ha he oodnae ansfom mehod s supeo n esmaon of dfrfs han he Floque mehod. Noe ha he oodnae ansfom mehod whh s essenally a fequeny doman appoah sueeds n appoxmang he dfrfs wh a lmed numbe of assumed modes (Rz veos) wheeas he Floque mehod whh s essenally a me doman appoah fals n usng an effeve se of base hamons equed o bee esmae he dfrfs n he fequeny doman. heoeally speakng as he numbe of assumed modes neases ndefnely boh mehods wll evenually lead o he denal esuls. Alhough hee exs some dsepanes n he logahm magnudes of dfrfs he ypal esponse alulaons n he me doman by boh mehods yeld lle dffeene as demonsaed pevously n Fg.2. 4 CONCLUSION he omplex modal analyss by he Floque heoy s developed fo peodally me-vayng lnea oo sysems and ompaed wh he oodnae ansfom appoah. he Floque mehod povdes lea physal undesandng of he egenvalues and he oespondng egenveos. I s found ha he Floque mehod wh a few appoxmaon ems esmaes he egenvalues and he egenveos of lowe ode wh fa auay leadng o sasfaoy esponse alulaons n he me doman. oweve s no effen n alulang he egenveos of hghe ode and hus he fequeny doman haaess nludng he deonal fequeny esponse funons ompaed wh he oodnae ansfom appoah. 7 Pape ID-78

8 (a) (b) () (d) Fgue 3: Waefall plos of dfrfs by he Floque mehod: δ = = 0.3 (a) (b) g0 p( jω) ĝ;0 p( j ω) () ĝ; 1p ( j ω) (d) g; 1p( jω) (a) (b) () (d) Fgue 4: Waefall plos of dfrfs fom he ll s max of ode 24: δ = = 0.3 (a) (b) g0 p( jω) ĝ;0 p( j ω) () ĝ; 1p ( j ω) (d) g; 1p( jω) 8 Pape ID-78

9 REFERENCES [1] Adayfo D. and Fohb D. A. (1976): Insably of an asymme oo wh asymme shaf mouned on symme elas suppos ASME J. Engneeng fo Indusy pp [2] Calo R. A. and Wesel W. E. (1984): Conol of me-peod sysems J. GUIDANCE 7 pp [3] Fedmann P. and ammond C. E. (1977): Effen numeal eamen of peod sysems wh applaon o sably poblems Inenaonal Jounal fo Numeal Mehods n Engneeng 11 pp [4] Gena B. (1988): Whlng of unsymmeal oos: a fne elemen appoah based on omplex oodnaes J. Sound and Vbaon 124 (1) pp [5] Goulay A. R. and Wason G. A. (1973): Compuaonal Mehods fo Max Egenpoblems John- Wley & Sons. [6] an D. J. (2006): Modal analyss of peodally me-vayng oo sysems usng Floque heoy and modulaed oodnae ansfomaon: applaons o ak deeon and modal balanng Ph.D. dsseaon KAIS. [7] Iee. (1999): Mahemaal foundaons of expemenal modal analyss n oo Mehanal Sysems and Sgnal Poessng 13(2) pp [8] Joh C. Y. and Lee C. W. (1996): Use of dfrfs fo dagnoss of asymme/ansoop popees n oo-beang sysem ASME J. Vbaon and Aouss 118 pp [9] Lanase P. and smenesky M. (1985): he heoy of Maes wh Applaon Aadem Pess Seond Edon. [10] Lee C. W. (1991): A omplex modal esng heoy fo oang mahney Mehanal Sysems and Sgnal Poessng 5(2) pp [11] Lee C. W. (1993): Vbaon Analyss of Roos Kluwe Aadem Publshes. [12] Lee C. W. and Kwon K. S. (2001): Idenfaon of oang asymmey n oang mahnes by usng evese deonal fequeny esponse funons Poeedngs of Insuon of Mehanal Engnees 215C pp [13] Rhads J. A. (1983): Analyss of Peodally me-vayng Sysems Spnge-Velag. [14] Snha S. C. Pandyan R. and Bbb J. S. (1996): Lapunov-Floque ansfomaon: ompuaon and applaons o peod sysems ASME J. Vbaon and Aouss118 pp [15] Suh J.. ong S. W. and Lee C. W. (2005): Modal analyss of asymme oo sysem wh soop sao usng modulaed oodnaes J. Sound and Vbaon 284 pp Pape ID-78

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

Silence is the only homogeneous sound field in unbounded space

Silence is the only homogeneous sound field in unbounded space Cha.5 Soues of Sound Slene s he onl homogeneous sound feld n unbounded sae Sound feld wh no boundaes and no nomng feld 3- d wave equaon whh sasfes he adaon ondon s f / Wh he lose nseon a he on of = he

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence

More information

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION MACROECONOMIC THEORY T. J. KEHOE ECON 85 FALL 7 ANSWERS TO MIDTERM EXAMINATION. (a) Wh an Arrow-Debreu markes sruure fuures markes for goods are open n perod. Consumers rade fuures onras among hemselves.

More information

Pareto Set-based Ant Colony Optimization for Multi-Objective Surgery Scheduling Problem

Pareto Set-based Ant Colony Optimization for Multi-Objective Surgery Scheduling Problem Send Odes fo Repns o epns@benhamsene.ae The Open Cybenes & Sysems Jounal, 204, 8, 2-28 2 Open Aess Paeo Se-based An Colony Opmzaon fo Mul-Objeve Sugey Shedulng Poblem Xang We,* and Gno Lm 2 Fauly of Mehanal

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

Robust Centralized Fusion Kalman Filters with Uncertain Noise Variances

Robust Centralized Fusion Kalman Filters with Uncertain Noise Variances ELKOMNIKA Indonean Jounal of Eleal Engneeng Vol., No.6, June 04, pp. 4705 ~ 476 DOI: 0.59/elkomnka.v6.5490 4705 Robu Cenalzed Fuon Kalman Fle wh Unean Noe Vaane Wen-juan Q, Peng Zhang, Z-l Deng* Depamen

More information

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED)

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED) FIRMS IN THE TWO-ERIO FRAMEWORK (CONTINUE) OCTOBER 26, 2 Model Sucue BASICS Tmelne of evens Sa of economc plannng hozon End of economc plannng hozon Noaon : capal used fo poducon n peod (decded upon n

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

The sound field of moving sources

The sound field of moving sources Nose Engneeng / Aoss -- ong Soes The son el o mong soes ong pon soes The pesse el geneae by pon soe o geneal me an The pess T poson I he soe s onenae a he sngle mong pon, soe may I he soe s I be wen as

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions:

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions: esng he Random Walk Hypohess If changes n a sees P ae uncoelaed, hen he followng escons hold: va + va ( cov, 0 k 0 whee P P. k hese escons n un mply a coespondng se of sample momen condons: g µ + µ (,,

More information

Reflection and Refraction

Reflection and Refraction Chape 3 Refleon and Refaon As we know fom eveyday expeene, when lgh aves a an nefae beween maeals paally efles and paally ansms. In hs hape, we examne wha happens o plane waves when hey popagae fom one

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic * Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma

More information

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation 82 Inenaonal Jounal of Conol Auomaon and Sysems Vol 2 No 2 June 2004 Delay-Dependen Conol fo me-delayed -S Fuzzy Sysems Usng Descpo Repesenaon Eun ae Jeung Do Chang Oh and Hong Bae ak Absac: hs pape pesens

More information

MATHEMATICAL MODEL OF THE DUMMY NECK INCLUDED IN A FRONTAL IMPACT TESTING SYSTEM

MATHEMATICAL MODEL OF THE DUMMY NECK INCLUDED IN A FRONTAL IMPACT TESTING SYSTEM he h Inenaonal onfeene Advaned opose Maeals Enneen OMA 8- Oobe Basov Roana MAHEMAIAL MODEL O HE DUMMY NEK INLUDED IN A RONAL IMPA ESIN SYSEM unel Sefana Popa Daos-Lauenu apan Vasle Unves of aova aova ROMANIA

More information

Eulerian and Newtonian dynamics of quantum particles

Eulerian and Newtonian dynamics of quantum particles Eulean and ewonan dynas of uanu pales.a. Rasovsy Insue fo Pobles n Means, Russan Aadey of enes, Venadsogo Ave., / Mosow, 956, Russa, Tel. 7 495 554647, E-al: as@pne.u We deve e lassal euaons of ydodynas

More information

Design of Elastic Couplings with Metallic Flexible Membranes

Design of Elastic Couplings with Metallic Flexible Membranes Poeedngs of he s Inenaonal Confeene on anufaung Engneeng, Qualy and Poduon Syms (Volume I) Desgn of Elas Couplngs wh eall Flexble embanes Dobe Danel, Smon Ionel Depamen of Despve Geomey and Engneeng Gaphs

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve

More information

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING

MEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

Lecture Notes 4: Consumption 1

Lecture Notes 4: Consumption 1 Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

모바일와이맥스시스템에서주변셀의신호세기정보를이용한인접셀간섭감소기법. Mitigation of inter-cell interference using geometrical information in mobile WiMAX system

모바일와이맥스시스템에서주변셀의신호세기정보를이용한인접셀간섭감소기법. Mitigation of inter-cell interference using geometrical information in mobile WiMAX system 모바일와이맥스시스템에서주변셀의신호세기정보를이용한인접셀간섭감소기법 염재흥 O 이용환서울대학교전기컴퓨터공학부 Mgaon of ne-ell nefeene usng geomeal nfomaon n moble WMAX sysem Jae-Heung Yeom O Yong-Hwan Lee Shool of Eleal Engneeng INMC Seoul Naonal Unvesy

More information

Simulation of Non-normal Autocorrelated Variables

Simulation of Non-normal Autocorrelated Variables Jounal of Moden Appled Sascal Mehods Volume 5 Issue Acle 5 --005 Smulaon of Non-nomal Auocoelaed Vaables HT Holgesson Jönöpng Inenaonal Busness School Sweden homasholgesson@bshse Follow hs and addonal

More information

Electromagnetic waves in vacuum.

Electromagnetic waves in vacuum. leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

Final Exam. Tuesday, December hours, 30 minutes

Final Exam. Tuesday, December hours, 30 minutes an Faniso ae Univesi Mihael Ba ECON 30 Fall 04 Final Exam Tuesda, Deembe 6 hous, 30 minues Name: Insuions. This is losed book, losed noes exam.. No alulaos of an kind ae allowed. 3. how all he alulaions.

More information

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH Asan Jounal of Conol, Vol. 6, No., pp. 3-9, Mach 00 3 Bef Pape SABILIY CRIERIA FOR A CLASS OF NEURAL SYSEMS VIA HE LMI APPROACH Chang-Hua Len and Jen-De Chen ABSRAC In hs pape, he asypoc sably fo a class

More information

Deadlock Avoidance for Free Choice Multi- Reentrant Flow lines: Critical Siphons & Critical Subsystems 1

Deadlock Avoidance for Free Choice Multi- Reentrant Flow lines: Critical Siphons & Critical Subsystems 1 Deadlo Avodane fo Fee Choe Mul- Reenan Flow lnes: Cal Shons & Cal Subsysems P. Ballal, F. Lews, Fellow IEEE, J. Meles, Membe IEEE, J., K. Seenah Auomaon & Robos Reseah Insue, Unvesy of exas a Alngon, 73

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

The Two Dimensional Numerical Modeling Of Acoustic Wave Propagation in Shallow Water

The Two Dimensional Numerical Modeling Of Acoustic Wave Propagation in Shallow Water The Two Densonal Nueal Modelng Of Aous Wave Poagaon n Shallow Wae Ahad Zaaa John Penose Fan Thoas and Xung Wang Cene fo Mane Sene and Tehnology Cun Unvesy of Tehnology. CSIRO Peoleu. Absa Ths ae desbes

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

Methods of Improving Constitutive Equations

Methods of Improving Constitutive Equations Mehods o mprovng Consuve Equaons Maxell Model e an mprove h ne me dervaves or ne sran measures. ³ ª º «e, d» ¼ e an also hange he bas equaon lnear modaons non-lnear modaons her Consuve Approahes Smple

More information

On the Physical Significance of the Lorentz Transformations in SRT. Department of Physics- University of Aleppo, Aleppo- Syria ABSTRACT

On the Physical Significance of the Lorentz Transformations in SRT. Department of Physics- University of Aleppo, Aleppo- Syria ABSTRACT On he Phsal Sgnfane of he Loen Tansfomaons n SRT Na Hamdan Sohel aa Depamen of Phss- Unes of leppo leppo- Sa STRCT One show all fas ha seem o eqe he naane of Mawell's feld eqaons nde Loen ansfomaons [nsen's

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Regularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator

Regularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator www.sene.org/mas Modern Appled ene Vol. 5, o. 2; Aprl 2 Regularzaon and ablzaon of he Reangle Desrpor Deenralzed Conrol ysems by Dynam Compensaor Xume Tan Deparmen of Eleromehanal Engneerng, Heze Unversy

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

In accordance with Regulation 21(1), the Agency has notified, and invited submissions &om, certain specified

In accordance with Regulation 21(1), the Agency has notified, and invited submissions &om, certain specified hef xeuve Offe Wesen Regonal Fshees Boad The We odge al s odge Galway 6 June 2009 Re Dea S nvonmenal Poeon Ageny An Ghnwmhomoh un Oloomhnll omhshd Headquaes. PO Box 000 Johnsown asle sae ouny Wexfod, eland

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

Mobile Communications

Mobile Communications Moble Communaons Pa IV- Popagaon Chaaess Mul-pah Popagaon - Fadng Poesso Z Ghassemlooy Shool o Compung, Engneeng and Inomaon Senes, Unvesy o Nohumba U.K. hp://soe.unn.a.uk/o Conens Fadng Dopple Sh Dspeson

More information

INVESTIGATIONS OF THE FORCED TORSIONAL VIBRATIONS IN THE SAW UNIT OF A KIND OF WOOD SHAPERS, USED IN THE WOOD PRODUCTION

INVESTIGATIONS OF THE FORCED TORSIONAL VIBRATIONS IN THE SAW UNIT OF A KIND OF WOOD SHAPERS, USED IN THE WOOD PRODUCTION INNOAION IN OODORKIN INDUSRY AND ENINEERIN DESIN / ): 6 69 INESIAIONS OF E FORCED ORSIONAL IRAIONS IN E SA UNI OF A KIND OF OOD SAPERS USED IN E OOD PRODUCION eo ukov alenn Slavov eo Kovaev Unvesy of Foesy

More information

Sound Radiation of Circularly Oscillating Spherical and Cylindrical Shells. John Wang and Hongan Xu Volvo Group 4/30/2013

Sound Radiation of Circularly Oscillating Spherical and Cylindrical Shells. John Wang and Hongan Xu Volvo Group 4/30/2013 Sound Radaton of Culaly Osllatng Spheal and Cylndal Shells John Wang and Hongan Xu Volvo Goup /0/0 Abstat Closed-fom expesson fo sound adaton of ulaly osllatng spheal shells s deved. Sound adaton of ulaly

More information

COMPARING MORE THAN TWO POPULATION MEANS: AN ANALYSIS OF VARIANCE

COMPARING MORE THAN TWO POPULATION MEANS: AN ANALYSIS OF VARIANCE COMPARING MORE THAN TWO POPULATION MEANS: AN ANALYSIS OF VARIANCE To see how the piniple behind the analysis of vaiane method woks, let us onside the following simple expeiment. The means ( 1 and ) of

More information

ANALYSIS, DESIGN, AND PRELIMINARY TESTING OF SOLAR CHIMNEY FOR RESIDENTIAL AIR-CONDITIONING APPLICATIONS

ANALYSIS, DESIGN, AND PRELIMINARY TESTING OF SOLAR CHIMNEY FOR RESIDENTIAL AIR-CONDITIONING APPLICATIONS Sola 4 A Sola Haves: Gowng ppounes July 11-14, 4, Poland, egon ISEC4-6593 ANAYSIS, ESIGN, AN PREIMINARY ESING F SAR CHIMNEY FR RESIENIA AIR-CNIINING APPICAINS Gang Wang Bng Chen Mngsheng u Joeg Henkel

More information

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1 Machne Leanng -7/5 7/5-78, 78, Spng 8 Spectal Clusteng Ec Xng Lectue 3, pl 4, 8 Readng: Ec Xng Data Clusteng wo dffeent ctea Compactness, e.g., k-means, mxtue models Connectvty, e.g., spectal clusteng

More information

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002

More information

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions

Modeling the Filament Formation in the Wet Spinning of Synthetic Fiber from Polymer Solutions heoecal Foundaons of hemcal Engneeng Vol. 3. No 3 1996. pp. 295-31 anslaed fom eoecheske Osnovy Khmchesko ekhnolog. Vol. 3. No. 3. 1996. pp. 327-334 Ognal Russan ex opygh 1996 by Kalabn Paksve Kukushkn.

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 6: Learning for Control (Generalised Linear Regression) Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson

More information

Non-Ideal Gas Behavior P.V.T Relationships for Liquid and Solid:

Non-Ideal Gas Behavior P.V.T Relationships for Liquid and Solid: hemodynamis Non-Ideal Gas Behavio.. Relationships fo Liquid and Solid: An equation of state may be solved fo any one of the thee quantities, o as a funtion of the othe two. If is onsideed a funtion of

More information

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional

More information

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

A New Interference Approach for Ballistic Impact into Stacked Flexible Composite Body Armor

A New Interference Approach for Ballistic Impact into Stacked Flexible Composite Body Armor 5h AIAA/ASME/ASCE/AHS/ASC Suues, Suual Dynams, and Maeals Confeene17h 4-7 May 9, Palm Sngs, Calfona AIAA 9-669 A New Inefeene Aoah fo Balls Ima no Saked Flexble Comose Body Amo S. Legh Phoenx 1 and

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

arxiv: v2 [quant-ph] 11 Dec 2014

arxiv: v2 [quant-ph] 11 Dec 2014 Quanum mehanal uneranes and exa ranson ampludes for me dependen quadra Hamlonan Gal Harar, Yaob Ben-Aryeh, and Ady Mann Deparmen of Physs, Tehnon-Israel Insue of Tehnology, 3 Hafa, Israel In hs work we

More information

Fast Calibration for Robot Welding System with Laser Vision

Fast Calibration for Robot Welding System with Laser Vision Fas Calbaon fo Robo Weldng Ssem h Lase Vson Lu Su Mechancal & Eleccal Engneeng Nanchang Unves Nanchang, Chna Wang Guoong Mechancal Engneeng Souh Chna Unves of echnolog Guanghou, Chna Absac Camea calbaon

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

8. HAMILTONIAN MECHANICS

8. HAMILTONIAN MECHANICS 8. HAMILTONIAN MECHANICS In ode o poceed fom he classcal fomulaon of Maxwell's elecodynamcs o he quanum mechancal descpon a new mahemacal language wll be needed. In he pevous secons he elecomagnec feld

More information

Lecture VI Regression

Lecture VI Regression Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M

More information

Mass-Spring Systems Surface Reconstruction

Mass-Spring Systems Surface Reconstruction Mass-Spng Syses Physally-Based Modelng: Mass-Spng Syses M. Ale O. Vasles Mass-Spng Syses Mass-Spng Syses Snake pleenaon: Snake pleenaon: Iage Poessng / Sae Reonson: Iage poessng/ Sae Reonson: Mass-Spng

More information

Some Analytic Results for the Study of Broadband Noise Radiation from Wings, Propellers and Jets in Uniform Motion *

Some Analytic Results for the Study of Broadband Noise Radiation from Wings, Propellers and Jets in Uniform Motion * Some Analy Resuls fo he Suy of Boaban Nose Raaon fom Wngs Poelles an Jes n Unfom oon *. aassa an J. Case NASA Langley Reseah Cene Hamon gna Absa Alan Powell has mae sgnfan onbuons o he unesanng of many

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS In. J. Nume. Meh. Fluds 005; 49:99 116 Publshed onlne 3 June 005 n Wley IneScence www.nescence.wley.com). DOI: 10.100/d.997 An axsymmec ncompessble

More information

N 1. Time points are determined by the

N 1. Time points are determined by the upplemena Mehods Geneaon of scan sgnals In hs secon we descbe n deal how scan sgnals fo 3D scannng wee geneaed. can geneaon was done n hee seps: Fs, he dve sgnal fo he peo-focusng elemen was geneaed o

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

Folding to Curved Surfaces: A Generalized Design Method and Mechanics of Origami-based Cylindrical Structures

Folding to Curved Surfaces: A Generalized Design Method and Mechanics of Origami-based Cylindrical Structures Supplementay Infomaton fo Foldng to Cuved Sufaes: A Genealzed Desgn Method and Mehans of Ogam-based Cylndal Stutues Fe Wang, Haoan Gong, X Chen, Changqng Chen, Depatment of Engneeng Mehans, Cente fo Nano/Mo

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

Chapter 4. Sampling of Continuous-Time Signals

Chapter 4. Sampling of Continuous-Time Signals Chapte 4 Sampling of Continuous-Time Signals 1 Intodution Disete-time signals most ommonly ou as epesentations of sampled ontinuous-time signals. Unde easonable onstaints, a ontinuous-time signal an be

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS

CHAPTER 3 DETECTION TECHNIQUES FOR MIMO SYSTEMS 4 CAPTER 3 DETECTION TECNIQUES FOR MIMO SYSTEMS 3. INTRODUCTION The man challenge n he paccal ealzaon of MIMO weless sysems les n he effcen mplemenaon of he deeco whch needs o sepaae he spaally mulplexed

More information