International Journal of Pure and Applied Sciences and Technology
|
|
- Claude Craig
- 5 years ago
- Views:
Transcription
1 t. J. Pue Appl. Sc. Techol., 4, pp teatoal Joual of Pue ad Appled Sceces ad Techology SS 9-67 Avalable ole at Reseach Pape Geetc Algothm Optmzato fo Tesog ove Double Aula Doma Masayu shhaa,*, Ho Muaam ad Yoshho Ootao 3, 3 Osaa Pefectue Uvesty, -, Gaue, aa, Saa, Osaa , Japa suzu Motos Lmted, 6-6-, Mam-O, Shagawa, Toyo 4-87, Japa * Coespodg autho, e-mal: shhaa@me.osaafu-u.ac.jp Receved: 8--3; Accepted: 9--3 Abstact: Wth the am of achevg stable opeato of ccula saws, ths study fds the soluto fo the optmzato poblem that volves choosg a set of tesog paametes a otatg ccula saw that s subjected to both a local tempeatue dstbuto ad the -plae plastc sta ove a double aula doma. The soluto fo the -plae foces s obtaed o the bass of plate bedg theoy, ad modal aalyss fo the out-of-plae behavo affected by the -plae foces s pefomed. umecal calculatos ae pefomed to vestgate the effects of tesog ove the double aula doma o the atual fequeces. The optmzato poblem to maxmze the atual fequecy of the most ctcal mode wth espect to the testes, locatos, ad wdths of tesog s solved usg a geetc algothm, ad the optmal tesog paametes ae detemed at computatoal costs that ae cosdeably lowe tha those equed fo % specto. Keywods: Ccula saw, Tesog, atual fequecy, Optmzato poblem, Geetc algothm.. toducto: Ccula saws ae dspesable tools fo machg. They ae omally subjected to a themal load esultg fom the fcto betwee the blade ad the wopece. Ths themal load geeally poduces compessve -plae foces, whch tu chage vaous dyamc chaactestcs such as atual fequeces []. Due to the chage the dyamc chaactestcs, vbatos that ae excted by the teacto betwee the teeth of the saw blade ad the wopece ted to become ustable ad degade the wog accuacy of the saw [8]. ode to ccumvet ths poblem, ccula saws ae
2 t. J. Pue Appl. Sc. Techol., 4, ofte subjected to a pestessg pocedue called oll tesog, whee the saws ae sadwched betwee two olles ude a compessve foce ad the otated slowly to duce plastc defomato ad toduce -plae teso. Plastc defomato occus aoud the olled ego. Revews o tesog studes ca be foud the lteatue [4, ]. umeous studes o tesoed saws have bee coducted [,, 3, 6, 7, 9]. As metoed the above studes, the atual fequecy of a ccula saw has a sgfcat mpact o ts stablty; geeal, the stablty ca be mpoved by ceasg the atual fequecy. Tesog seves ths pupose. Theefoe, a pevous study [5], we pefomed theoetcal aalyss of the themoelastoplastc feld ad the esultg atual fequecy of a otatg, themally loaded ccula saw that was tesoed ove a sgle aula doma, ad we vestgated the effects of tesog o the -plae foces ad atual fequeces. Moeove, we exteded the study to the case whee a saw udegoes tesog ove a double aula doma, assumg actual codtos [4]. The effcecy of tesog depeds o the cotol of the dstbuto of the appled plastc defomato, whch eques sll ad yeas of expeece o the pat of the opeato. Moeove, oce a saw s subjected to tesog, t s ealy mpossble to modfy the tesog paametes such as testes, locatos, ad wdths. Theefoe, t s mpotat to estmate the effect of tesog by pefomg smulatos befoe actual tesog s pefomed. ode to deteme the optmal combato of tesog paametes fo the assumed evomets that a patcula saw s lely to ecoute, t s ecessay to pefom umecal calculatos fo vaous combatos of may types of tesog paametes. Fo example, vaous combatos of thee paametes,.e., testy, locato, ad wdth, must be cosdeed fo a sgle tesoed saw, ad those of sx paametes,.e., two testes, two locatos, ad two wdths, must be cosdeed fo a double tesoed saw. othe wods, the umbe of dmesos the optmzato poblem ca be qute hgh. Moeove, the pevous study [4], the effects of the plae foces o the out-of-plae moto wee tae to accout, ule the case of oday plate bedg theoy. Fom the esults of ths study [4], t was foud that the effects of tesog paametes o dyamc chaactestcs such as atual fequeces exhbted hgh oleaty ad that the computatoal cost to obta the optmal dyamc chaactestcs ceased. The hgh umbe of dmesos ad computatoal cost made t mpossble to deteme the optmal combato of tesog paametes usg oday olea pogammg methods. Geetc algothms have bee wdely used fo othe optmzato poblems whch the objectve fucto exhbts hgh oleaty wth espect to may types of desg vaables [3]. The geetc algothm s oe of the heustc seach techques that mtate the mae whch ceatues adapt to the evomets ove geeatos, though geetc opeatos. The algothm s effectve solvg optmzato poblems wth a hgh degee of oleaty, as metoed above. ths study, theefoe, we vestgated the use of the geetc algothm to solve the optmzato poblem fo the tesog paametes a otatg ccula saw ude a themal load that s tesoed ove a double aula doma. The aalytcal model that we used s a otatg aula ds that s subjected to both a local tempeatue dstbuto asg fom the themal load, whch s caused by blade-wopece fcto, ad the -plae plastc sta toduced by tesog ove a double aula doma. O the bass of the aalytcal esults fo - ad out-of-plae behavos, we pefomed umecal calculatos to vestgate the effects of vaous combatos of the tesog paametes o the atual fequeces. We the used the geetc algothm to solve the optmzato poblem to maxmze the atual fequecy of the most ctcal mode wth espect to the testes, locatos, ad wdths of tesog.
3 t. J. Pue Appl. Sc. Techol., 4, Theoetcal Aalyss:.. Poblem The aalytcal model s show Fg.. Ths model cludes a aula ds wth e ad oute ad ad o, espectvely, ad thcess h ; the aula ds otates aoud the z -axs at agula velocty ω R. The mass desty, Youg s modulus, Posso s ato, ad coeffcet of lea themal expaso ae deoted by ρ, E, ν, ad α, espectvely. The cyldcal coodate system, θ, z s defed the fame of efeece of the otatg ds. Tme s deoted by t. The ds s clamped at the e m ad s fee of tacto at the oute m. The ds has a abtay tempeatue dstbuto of T T f, esultg fom the fcto betwee the blade ad the wopece, whee T T deotes a epesetatve tempeatue. Moeove, -plae plastc stas ε f ad ε f ae assumed to be duced by tesog ove a double aula doma, whee ε,, ad b, deote the testes, locatos, ad wdths of tesog, espectvely. ε f ω R θ o T T f T ε f z f Fg. : Aalytcal model.. Aalyss of -Plae Resultat Foces To smplfy the aalyss, o-dmesoal vaables ae toduced as Whee,,,, b, b,,,, b, b, t ν o, θθ,, 3 θθ Eh 4 w ν / hw, ωr ν ρo / Eh T, ε, ε ν / h αt, ε, ε ad θθ o o b f f T b Eh ν ρ ω, R 4 o o t,, deote the -plae esultat foces the adal ad hoop dectos, espectvely, ad w deotes the deflecto. a pevous study [4], the aalytcal soluto of the -plae esultat foces ude the bouday codtos stated Subsecto. was fomulated as θθ * CF + CF 3 + ν ωr / 8 [ T ft d / + ε f + ε f CF CF + 3ν ωr / 8 [ T ft d / + ft * * + ε f + f + ε f + f ] * ],,
4 t. J. Pue Appl. Sc. Techol., 4, f [ f d ]/,. The deftos of C F ad C F ca be obtaed fom * whee the pevous study [4]. Fo the dstbuto of plastc stas show Fg., f, * f, C F, ad C F ae ow calculated as f H[ b / ] H[ + b / ], * f / [ b / / ]{ H[ b / ] H[ + b + b / { H[ + b / ] H }:, wth the Heavsde ut fucto H *, ad C C F ε, / ]} CR ω R + CT T + Cε, ε, CF CRωR + CT T + Cε, ε,, 4 b + /[ + + ], C /[ + + ]:, ν ν ν ε, b ν ν ν whee the deftos of C R, C R, C T, ad C T ae the same as those peseted the pevous study [4]..3. Modal Aalyss of Flexual Vbato Modal aalyss fo the flexual vbato that s affected by the -plae foces s peseted. The pocedues of modal aalyss fo a dffeet fomula fo ad θθ the pevous study [4] ae also applcable to the peset study ad ae summazed as follows. 3 The deflecto s expessed as w φ expθ expω t, 5 whee φ deotes the mode fucto the adal decto ad, whch s efeed to as the umbe of odal dametes, deotes the umbe of susodal waves the ccumfeetal decto. By substtutg Eq. 5 to the fudametal equato fo deflecto ad usg the bouday codtos stated Subecto., we obta the goveg equatos fo mode fucto φ. The Gale method [] s used to solve the goveg equatos thus obtaed. The mode fucto s expessed as a sees of up to M tems: M φ φ f, 6 whee the mode fucto fo a plate the absece of -plae esultat foces chose as tal fucto. Thus, fom ou pevous study [4], we have f m f m m C mj ω, m + Cm ω, m + C3mY ω, m + C4mK ω, m m ad θθ m s, 7 whee J * ad Y * deote the Bessel fuctos of the fst ad secod d, espectvely, of ode, ad * ad K * deote the modfed Bessel fuctos of the fst ad secod d,
5 t. J. Pue Appl. Sc. Techol., 4, espectvely, of ode. addto, ω, m deotes the atual fequecy of the plate the absece of -plae foces ad s obtaed as the m -th smallest postve soluto of The deftos of m det[ A ]. 8 m A ad C m,,3,4 ae as show the pevous study [4]. t should be oted that m deotes the umbe of odal ccles. Afte applyg the Gale method, we obta the equato fo mode coeffcet φ m as follows: whee M { Φ } { φ j δ jω, j φ Λ [ M ]{ Φ } ω { Φ }, 9 φ d f d M } T j + θθ df d j f j f d,. Thus, by solvg the egevalue poblem gve by Eq. 9, we obta atual fequeces ω ad egevectos { Φ }, ad hece, egemodes φ though Eq. 6. Hee, ω m deotes the m -th smallest postve soluto of ω. Fom Eqs 9 ad, we fd that the atual fequeces ae depedet o -plae esultat foces ad θθ. -plae esultat foces ad θθ ae tu depedet o ε,, ad b,, as stated Subsecto.. Theefoe, the atual fequeces ae depedet o testes ε, locatos, ad wdths b, of tesog. 3. umecal Calculato: As stated Secto, the stablty of a ccula saw ca geeally be mpoved by ceasg the atual fequecy. Theefoe, ths secto pesets the umecal calculatos used to vestgate the effects of vayg the tesog paametes o the esultg atual fequeces. Moeove, ode to acheve the stable opeato of the saw, the optmzato poblem to maxmze the atual fequecy of the most ctcal mode s solved usg the geetc algothm. The codtos fo the calculatos ae as follows. Posso s ato ad the o-dmesoal e adus ae assumed to be ν. 5 ad. 3, espectvely. The saw s cosdeed to be otatg at a o-dmesoal agula velocty of ω R 3. The tempeatue s cosdeed to be dstbuted ove the oute edge as f T H.95 H, wth o-dmesoal tempeatue T. Wth egad to the atual fequeces, we focus o the modes wth the odal damete m ad odal ccles ~ 5 as the modes that would be ctcal pactce. 3.. Effect of Tesog ove Double Aula Doma Fgue shows the vaatos the atual fequeces wth the tesog locatos. As show the fgue, the vaatos ae depedet o the modes. addto, the most ctcal mode, whch mmzes the atual fequecy wth espect to the modes fo a gve combato of tesog locatos, chages depedg o the combato: fo example, Fg. a, the most ctcal mode exhbts the tasto fom though ad to 3 as ceases.
6 t. J. Pue Appl. Sc. Techol., 4, Fg., vaatos the atual fequecy of the most ctcal mode, m 5 ω, wth tesog locato ae descbed by the coected cuve composed of the cuves wth the lowest value of the odate. vew of ths, Fg. a shows that the atual fequecy of the most ctcal mode eaches the maxmum value m 5 ω 7. 3 at. 77 whle Fg. b shows that the atual fequecy eaches the maxmum value m 5 ω 7. 3 at. 59. Fgues a ad b suggest that, ode to acheve stable opeato of the saw, the combato of tesog paametes should be chose popely. Moeove, t s foud that the dffeet combatos, gve the same maxmum value m 5 ω 7. 3, whch suggests the exstece of multple solutos to the optmzato poblem teated the followg subsectos ω ω a. 6 b. 7 Fg. : Vaatos atual fequeces wth combato of tesog locatos ε 5, b.5; ε 5, b Optmzato Poblem Usg Geetc Algothm ode to acheve stable opeato of the saw, we eed to solve the optmzato poblem that maxmzes the most ctcal atual fequecy wth espect to the tesog paametes. Ths fequecy s also the mmum atual fequecy wth espect to the modes. The poblem s descbed as follows: whee Maxmze f ε,, b ; ε,, b m 5 ω subject to L ε U, L U, L b ε ε b U b,, L d ad U d d ε,, b;, deote the lowe ad uppe boudaes of desg vaables ε,, ad b, espectvely. Because the most ctcal mode depeds o the tesog paametes, as llustated Fg., vaous modes should be evewed obsevg the atual fequeces. Moeove, because the atual fequeces ae obtaed umecally usg Eqs -4 ad Eqs 7- owg to the absece of explct fomulas, a cosdeable computatoal cost s equed to calculate the fequeces fo a gve set of tesog paametes. Fgues a ad b, whch show the depedece of the
7 t. J. Pue Appl. Sc. Techol., 4, fequecy o oly tesog locato, ae obtaed by % specto,.e., by epeatg the abovemetoed method fo as may tesog locatos as possble. Howeve, t s almost mpossble to vestgate the fequecy depedece o all sx tesog paametes testes ε ad ε, locatos ad, ad wdths b ad b usg ths method. Howeve, whe a oday olea pogammg method s employed fo the optmzato poblem to avod the computato costs of % specto, thee s a potetal fo the method s esults to fall to a local soluto: fo example, Fg. a, the local maxmum of m 5 ω ca be foud ot oly at. 77 but also at. 35. ode to ovecome these dffcultes, we employed the geetc algothm fo the optmzato poblem. ths techque, the values of ε,, ad b, ae teated as a stg of bay bts, whch s efeed to as a chomosome. By deotg the dgt legths fo the bay bts fo ε,, ad b as ε,, ad b, espectvely, chomosome c s expessed as c { b b ε ε, b, b ε ε, Λ, b, Λ, b ε ε ε ε b b, b, b, Λ, b, Λ, b b b b, b b b, b, Λ, b b b b, Λ, b b b, } ε ε ε b b whee b, b, Λ, b }, b, b, Λ, b }, ad b b, b, Λ, b } ae the bay expessos of { ε { { ε,, ad b, espectvely, ad ae elated to the coespodg decmal values as ε L b L ε b Uε + U + b L ε L b ε b ε ε ε l bl, L + bl l b b b, b l l l t should be oted that desg vaables ε,, ad b ca tae espectvely. U b L l ε, l, ad The pocedue of the geetc algothm s as follows. Let us cosde a goup composed of,. 3 b vaatos, populato chomosomes C { c, c, Λ, c }, each elemet of whch s expessed the fomat show by populato Eq., the -th geeato. Hee, j,, Λ, s efeed to as a dvdual ad c j populato populato as the populato of the dvduals. The vaable c j s the tasfomed to decmal desg vaables ε,, ad b, usg Eqs ad 3. addto, the objectve fucto defed by Eq., f ε,, b ; ε,,, s evaluated by the method stated Secto as b [ ε c, c, b c ; ε c, c b c ], 4 Fj f j j j j j, whch s efeed to as ftess geetc algothm tems. The goup composed of j populato chomosomes the + -th geeato, C { c, c, Λ, c }, s geeated by a sees of + populato geetc opeatos, that s, selecto, cossove, ad mutato, ths ode. Fst, the tal goup of
8 t. J. Pue Appl. Sc. Techol., 4, chomosomes, C { c, c, Λ, }, s adomly geeated usg a ufom adom umbe c populato geeato. ext, the selecto opeato, elte pesevato ad oulette selecto ae pefomed: the dvduals wth the hghest ftess values the -th geeato ae peseved as elte; the elte emag dvduals ae selected fom all the dvduals the -th geeato populato elte accodace wth a pobablty that s popotoal to the ftess of each dvdual. The goup composed of chomosomes that s obtaed ths mae the udegoes the cossove populato opeato: elte dvduals peseved as elte ae ept uchaged; fom the emag selected dvduals, some pas of dvduals ae selected wth pobablty populato elte p cossove, ad, amog each selected pa, a stg of bay bts s exchaged potos that ae adomly selected by usg a ufom adom umbe geeato. The goup that udewet the cossove opeato s the subjected to mutato: all bts of all the chomosomes othe tha elte chomosomes ae depedetly subjected to a exchage of ad wth a slght pobablty of p. Ths method ceases oveall ftess ad geeates C { c, c, Λ, c }. These mutato pocedues ae the teated fo each geeato Vefcato of Geetc Algothm + populato ode to vefy whethe the geetc algothm fuctos popely, we fst solved the optmzato poblem descbed by Eq. oly wth espect to tesog testy, by settg L U 5, L U. 6, L U. 5, L U 5, ad L U. 5. ε ε The selected paametes ae b b ε ε b b L.35, U.975, ; populato 3, elte ; pcossove.7, pmutato.5.5 Fgue 3 shows the vaatos the dvduals dstbutos wth the geeatos, c j j,,3 deoted by 3 dots, some of whch may ovelap, fo each geeato. Ths fgue also shows the maxmum ad aveage ftess values, defed espectvely by F max max Fj, Favg populato j,, Λ, populato populato j F j. 6 Fgue 3 shows that the dvduals, tally dstbuted at adom the age L U, gathe at.766, wheeas ceases ad coveges o F 7.3 afte may max geeatos. Ths behavo agees wth the esult show Fg. a, whch f 5,.6,.5;5,,.5 m 5 ω 7.3 at 77.. Ths ageemet shows that the geetc algothm succeeds detemg the soluto fo the optmzato poblem descbed by Eq.. Moeove, the geetc algothm s seach fo a soluto s pefomed at a much lowe computatoal cost tha that of % specto. Although the soluto s obtaed fom 4 caddates of, as show Eqs 3 ad 5, the calculato the umbe of dvduals 3 multpled by the umbe of geeatos 3 to obta Fg. 3 s pefomed oly 9 tmes. Such a savg the computatoal cost s sgfcatly advatageous fo the optmzato poblem wth espect to multple desg vaables, as dscussed subsequet subsectos. Afte the covegece o.766 s substatally accomplshed, as show Fg. 3, outles sometmes appea as a esult of the mutato opeato. Because of such outles, the geetc algothm s also
9 t. J. Pue Appl. Sc. Techol., 4, expected to be applcable to a optmzato poblem whch the ftess fucto has multple local maxma Fg. 3: Vaatos dvduals ad ftess wth geeato ε 5,.6, b.5; ε 5, b Optmzato wth Combato of Tesog Locatos ext, the optmzato poblem descbed by Eq. s solved wth espect to the combato of tesog locatos ad, by settg L ε U ε 5, L b U b. 5, L ε U ε 5, ad L U. 5. The selected paametes ae b b L.35, U populato,.975, elte ; p ; L cossove.7, p.35, U mutato.5.975, ;. 7 a b
10 t. J. Pue Appl. Sc. Techol., 4, c d 3, ad coespodg ftess vaous geeatos ε 5, b.5; ε 5, b.5 Fg. 4: Dstbutos of dvduals Fgue 4 shows the dstbutos of dvduals' c, c deoted by dots fo each fgue j ad the coespodg ftess F j vaous geeatos. Fgue 5 shows the vaatos the maxmum ad aveage ftess values defed by Eq. 6 wth geeatos. Fgue 4 shows that the dvduals', that ae tally dstbuted at adom the age of {, L U, L U } gathe the doma of {,.6.7,.7.8}. addto,, the lagest legth of the dowwad les each fgue, ceases wth the umbe of geeatos. By spectg Fgs 4 ad 5, the soluto to the poblem s foud to be,.69,.7463 whch gves f 5,,.5;5,, The soluto s obtaed fom caddates of,, as show Eqs 3 ad 7; howeve, the calculato the umbe of dvduals multpled by the umbe of geeatos 3 to obta Fg. 5 s pefomed oly 6 tmes. Thus, the computatoal cost s educed to /748 6/ of the cost of % specto, whch shows a eve geate advatage fo a soluto seach usg the geetc algothm. j Fg. 5: Vaatos maxmum ad aveage ftess values wth geeato ε 5, b.5; ε 5, b.5
11 t. J. Pue Appl. Sc. Techol., 4, Optmzato wth Combato of Tesog testes ext, the optmzato poblem descbed by Eq. s solved wth espect to the combato of tesog testes ε ad ε, by settg L U. 6, L b U b. 5, L U. 7, ad L U.5. The selected paametes ae b b L ε, U populato ε, 5, elte ε ; p ; L cossove ε, U.7, p ε mutato,.5 ε ;. 8 Fgue 6 shows the dstbutos of dvduals' ε c, ε c deoted by 5 dots fo each fgue j ad the coespodg ftess F j vaous geeatos. Fgue 7 shows the vaatos the maxmum ad aveage ftess values defed by Eq. 6 wth geeatos. Fgue 6 shows that the dvduals' ε, ε that ae tally dstbuted at adom the age of { ε, ε Lε ε Uε, Lε ε Uε } gathe the doma of { ε, ε ε 3,4 ε 5}. addto,, the lagest legth of the dowwad les each fgue, ceases wth the umbe of geeatos. By spectg Fgs 6 ad 7, the soluto to the poblem s foud to be ε, ε 7.7, 437. whch gves f ε,.6,.5; ε,.7, The soluto s obtaed fom caddates of ε, ε, as show Eqs 3 ad 8; howeve, the calculato the umbe of dvduals 5 multpled by the umbe of geeatos 5 to obta Fg. 7 s pefomed oly 9 tmes. Thus, the computatoal cost s educed to / 494 5/ of the cost of % specto, whch also shows a eve geate advatage fo a soluto seach usg the geetc algothm. j ε ε ε ε a b
12 t. J. Pue Appl. Sc. Techol., 4, ε ε ε ε c 3 d 5 ε,ε ad coespodg ftess vaous geeatos.6, b.5;.7, b.5 Fg. 6: Dstbutos of dvduals Fg. 7: Vaatos maxmum ad aveage ftess values wth geeato.6, b.5;.7, b Optmzato wth Combato of Tesog testes ad Locatos the pevous subsectos, the optmzato poblems wth espect to the combatos of paametes, amely, ad ε, ε, wee solved. Because the atual fequecy of the most ctcal mode s depedet o 6 paametes ε,, b, ε,, b as descbed by Eq., such a hghe dmesoal optmzato poblem s solved ths subsecto. Oce the olles used fo tesog ae toduced a tesog ste, t s had to modfy the shape of olles,.e., tesog wdths b ad b. pactce, the vaable paametes ae the testes ad locatos ε,, ε,. Theefoe, the optmzato poblem descbed by Eq. s solved wth espect to the combato of ε,, ε,, by settg L U. 5 ad L U. 5.The selected paametes ae b b b b
13 t. J. Pue Appl. Sc. Techol., 4, L L ε ε, U, U populato ε ε,, 5, elte ε ε ; p ; L ; L cossove.35, U.35, U.7, p mutato.975,.975,.5 ; ;. 9 Fgue 8 shows the vaatos the maxmum ad aveage ftess values defed by Eq. 6 fom the th though to 6th geeato, whch suffcet covegece of the maxmum ftess value o 6 F max 7.46 s acheved. The combato of paametes to gve the coveged maxmum ftess value s foud to be ε,, ε, 54.,.7393, 46.4,.553. The soluto s obtaed fom. caddates of ε,, ε,, as show Eqs 3 ad 9; howeve, the calculato the umbe of dvduals 5 multpled by the umbe of geeatos 6 to obta Fg. 8 s pefomed oly 8 tmes. Thus, the computatoal cost s educed to 6 /37.4 8/ of the cost of % specto, whch stogly cofms the advatage of seachg fo a soluto usg the geetc algothm Fg. 8: Vaatos maxmum ad aveage ftess values wth geeato b b.5 4. Coclusos: ths study, we used a geetc algothm to solve the optmzato poblem fo the tesog paametes a otatg ccula saw ude a themal load that s tesoed ove a double aula doma. We fst peseted a aalytcal model whch otato, local tempeatue due to fcto, ad -plae plastc sta owg to tesog wee cosdeed. ext, we obtaed the aalytcal soluto fo the -plae foces ad caed out modal aalyss fo the flexual vbato. We the appled the geetc algothm to the optmzato poblem fo stable opeato of the saw to maxmze the atual fequecy of the most ctcal mode. tally, the algothm was appled oly to a optmzato poblem whee oe of the tesog locatos was vaed, ad t was foud that the geetc algothm ot oly fuctoed popely but also equed much lowe computg costs tha % specto. ext, the geetc algothm was appled to a optmzato poblem wth two tesog locatos o two tesog testes. Lastly, the algothm was appled to a eve hghe dmesoal optmzato poblem, that s, a poblem wth two tesog locatos ad two tesog testes. Optmal tesog paametes wee obtaed both the two-vaable ad fou-vaable cases; ths esulted computatoal costs that wee cosdeably lowe tha those equed fo % specto.
14 t. J. Pue Appl. Sc. Techol., 4, Refeeces [] H.. Aafat, A.H. ayfeh ad W. Fas, atual fequeces of heated aula ad ccula plates, t. J. Solds. Stuct., 44, [] C.A.J. Fletche, Computatoal Gale Method, Spge-Velag, ew Yo, 984. [3] D.E. Goldbeg, Geetc Algothms, Addso-Wesley, Massachusetts, 989. [4] M. shhaa, Y. Ootao ad. oda, Aalyss of dyamc chaactestcs of a otatg, themally loaded ccula saw subjected to tesog ove a double aula doma, J. Sold. Mech. Mate. Eg., 4, [5] M. shhaa,. oda ad Y. Ootao, Aalyss of dyamc chaactestcs of otatg ccula saw subjected to themal loadg ad tesog, J. Them. Stess., 33, [6] S. Kmua, Studes o tesog of ccula saw by ollg pessue : Tempeatue dstbuto a otatg dsc whe the themal buclg of the dsc has tae place Japaese, Mouza Gaash, 976, [7] S. Kmua ad M. Ado, Studes o tesog of ccula saw by ollg pessue Japaese, Mouza Gaash, 974, [8] C.D.J. Mote ad S. Holoye, Cofmato of the ctcal speed stablty theoy fo symmetcal ccula saws, Tas. ASME, Se B, J. Eg. d., 97975, -8. [9] C.D.J. Mote ad L.T. eh, Cotol of ccula-ds stablty wth membae stesses, Exp. Mech., 97, [] G.S. Schaje ad C.D.J. Mote, Aalyss of optmal oll tesog fo ccula saw stablty, Wood Fbe Sc., 6984, [] R. Szyma ad J. Rhemev, Latest developmets ccula saw tesog, Fo. Pod. J., 34984, [] R. Szyma ad C.D.J. Mote, Theoetcal ad expemetal aalyss of ccula saw tesog, Wood Sc. Techog., 3979, -37. [3] R. Szyma ad C.D.J. Mote, Ccula saw stffess as a measue of teso, Fo. Pod. J., 7977, 8-3. [4] R. Szyma ad C.D.J. Mote, A evew of esdual stesses ad tesog ccula saws, Wood Sc. Techog., 8974, 48-6.
Professor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More informationGREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER
Joual of ppled Mathematcs ad Computatoal Mechacs 4, 3(3), 5- GREE S FUCTIO FOR HET CODUCTIO PROBLEMS I MULTI-LYERED HOLLOW CYLIDER Stasław Kukla, Uszula Sedlecka Isttute of Mathematcs, Czestochowa Uvesty
More informationXII. Addition of many identical spins
XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.
More informationFairing of Parametric Quintic Splines
ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}
More informationNon-axial symmetric loading on axial symmetric. Final Report of AFEM
No-axal symmetc loadg o axal symmetc body Fal Repot of AFEM Ths poject does hamoc aalyss of o-axal symmetc loadg o axal symmetc body. Shuagxg Da, Musket Kamtokat 5//009 No-axal symmetc loadg o axal symmetc
More information= y and Normed Linear Spaces
304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads
More informationMinimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses
Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)
More informationNUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES
NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES Ezo Nakaza 1, Tsuakyo Ibe ad Muhammad Abdu Rouf 1 The pape ams to smulate Tsuam cuets aoud movg ad fxed stuctues usg the movg-patcle semmplct
More informationLecture 10: Condensed matter systems
Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato
More information( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi
Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)
More informationRECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S
Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets
More informationRecent Advances in Computers, Communications, Applied Social Science and Mathematics
Recet Advaces Computes, Commucatos, Appled ocal cece ad athematcs Coutg Roots of Radom Polyomal Equatos mall Itevals EFRAI HERIG epatmet of Compute cece ad athematcs Ael Uvesty Cete of amaa cece Pa,Ael,4487
More informationAtomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit.
tomc uts The atomc uts have bee chose such that the fudametal electo popetes ae all equal to oe atomc ut. m e, e, h/, a o, ad the potetal eegy the hydoge atom e /a o. D3.33564 0-30 Cm The use of atomc
More informationBest Linear Unbiased Estimators of the Three Parameter Gamma Distribution using doubly Type-II censoring
Best Lea Ubased Estmatos of the hee Paamete Gamma Dstbuto usg doubly ype-ii cesog Amal S. Hassa Salwa Abd El-Aty Abstact Recetly ode statstcs ad the momets have assumed cosdeable teest may applcatos volvg
More informationThe Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof
MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,
More informationTrace of Positive Integer Power of Adjacency Matrix
Global Joual of Pue ad Appled Mathematcs. IN 097-78 Volume, Numbe 07), pp. 079-087 Reseach Ida Publcatos http://www.publcato.com Tace of Postve Itege Powe of Adacecy Matx Jagdsh Kuma Pahade * ad Mao Jha
More informationThe Exponentiated Lomax Distribution: Different Estimation Methods
Ameca Joual of Appled Mathematcs ad Statstcs 4 Vol. No. 6 364-368 Avalable ole at http://pubs.scepub.com/ajams//6/ Scece ad Educato Publshg DOI:.69/ajams--6- The Expoetated Lomax Dstbuto: Dffeet Estmato
More informationA DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES
Mathematcal ad Computatoal Applcatos, Vol. 3, No., pp. 9-36 008. Assocato fo Scetfc Reseach A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Ahmed M.
More informationChapter 7 Varying Probability Sampling
Chapte 7 Vayg Pobablty Samplg The smple adom samplg scheme povdes a adom sample whee evey ut the populato has equal pobablty of selecto. Ude ceta ccumstaces, moe effcet estmatos ae obtaed by assgg uequal
More informationVECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.
Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth
More informationχ be any function of X and Y then
We have show that whe we ae gve Y g(), the [ ] [ g() ] g() f () Y o all g ()() f d fo dscete case Ths ca be eteded to clude fuctos of ay ube of ado vaables. Fo eaple, suppose ad Y ae.v. wth jot desty fucto,
More informationLegendre-coefficients Comparison Methods for the Numerical Solution of a Class of Ordinary Differential Equations
IOSR Joual of Mathematcs (IOSRJM) ISS: 78-578 Volume, Issue (July-Aug 01), PP 14-19 Legede-coeffcets Compaso Methods fo the umecal Soluto of a Class of Oday Dffeetal Equatos Olaguju, A. S. ad Olaegu, D.G.
More informationMinimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index
Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,
More informationAn Unconstrained Q - G Programming Problem and its Application
Joual of Ifomato Egeeg ad Applcatos ISS 4-578 (pt) ISS 5-0506 (ole) Vol.5, o., 05 www.ste.og A Ucostaed Q - G Pogammg Poblem ad ts Applcato M. He Dosh D. Chag Tved.Assocate Pofesso, H L College of Commece,
More informationThe Deformation of Cylindrical Shells Subjected to Radial Loads Using Mixed Formulation and Analytic Solutions
Uvesal Joual of Mechacal Egeeg (4): 8-3, 03 DOI: 0.389/ujme.03.00404 http://www.hpub.og The Defomato of Cyldcal Shells Subjected to Radal Loads Usg Mxed Fomulato ad Aalytc Solutos Lusa R. Maduea,*, Elza
More information2.1.1 The Art of Estimation Examples of Estimators Properties of Estimators Deriving Estimators Interval Estimators
. ploatoy Statstcs. Itoducto to stmato.. The At of stmato.. amples of stmatos..3 Popetes of stmatos..4 Devg stmatos..5 Iteval stmatos . Itoducto to stmato Samplg - The samplg eecse ca be epeseted by a
More informationsuch that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1
Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9
More informationOptimization of stepped shells
Optmzato of stepped shells J.LELLEP, E.PU, L.OOTS, E.TUGEL Depatmet of athematcs Uvesty of Tatu Lv st., Tatu ESTOI aa.lellep@ut.ee ella.puma@ut.ee a49@ut.ee est.tugel@ut.ee bstact: - Poblems of aalyss
More informationAllocations for Heterogenous Distributed Storage
Allocatos fo Heteogeous Dstbuted Stoage Vasleos Ntaos taos@uscedu Guseppe Cae cae@uscedu Alexados G Dmaks dmaks@uscedu axv:0596v [csi] 8 Feb 0 Abstact We study the poblem of stog a data object a set of
More informationUniversity of Pavia, Pavia, Italy. North Andover MA 01845, USA
Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *
More informationLecture 9 Multiple Class Models
Lectue 9 Multple Class Models Multclass MVA Appoxmate MVA 8.4.2002 Copyght Teemu Keola 2002 1 Aval Theoem fo Multple Classes Wth jobs the system, a job class avg to ay seve sees the seve as equlbum wth
More informationNumerical Solution of Non-equilibrium Hypersonic Flows of Diatomic Gases Using the Generalized Boltzmann Equation
Recet Advaces Flud Mechacs, Heat & Mass asfe ad Bology Numecal Soluto of No-equlbum Hypesoc Flows of Datomc Gases Usg the Geealzed Boltzma Equato RAMESH K. AGARWAL Depatmet of Mechacal Egeeg ad Mateals
More informationHyper-wiener index of gear fan and gear wheel related graph
Iteatoal Joual of Chemcal Studes 015; (5): 5-58 P-ISSN 49 858 E-ISSN 1 490 IJCS 015; (5): 5-58 014 JEZS Receed: 1-0-015 Accepted: 15-0-015 We Gao School of Ifomato Scece ad Techology, Yua Nomal Uesty,
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationEstimation of Parameters of the Exponential Geometric Distribution with Presence of Outliers Generated from Uniform Distribution
ustala Joual of Basc ad ppled Sceces, 6(: 98-6, ISSN 99-878 Estmato of Paametes of the Epoetal Geometc Dstbuto wth Pesece of Outles Geeated fom Ufom Dstbuto Pavz Nas, l Shadoh ad Hassa Paza Depatmet of
More informationFunctions of Random Variables
Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,
More informationExponential Generating Functions - J. T. Butler
Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle
More informationQuestion 1. Typical Cellular System. Some geometry TELE4353. About cellular system. About cellular system (2)
TELE4353 Moble a atellte Commucato ystems Tutoal 1 (week 3-4 4 Questo 1 ove that fo a hexagoal geomety, the co-chael euse ato s gve by: Q (3 N Whee N + j + j 1/ 1 Typcal Cellula ystem j cells up cells
More informationThis may involve sweep, revolution, deformation, expansion and forming joints with other curves.
5--8 Shapes ae ceated by cves that a sface sch as ooftop of a ca o fselage of a acaft ca be ceated by the moto of cves space a specfed mae. Ths may volve sweep, evolto, defomato, expaso ad fomg jots wth
More informationApplication Of Alternating Group Explicit Method For Parabolic Equations
WSEAS RANSACIONS o INFORMAION SCIENCE ad APPLICAIONS Qghua Feg Applcato Of Alteatg oup Explct Method Fo Paabolc Equatos Qghua Feg School of Scece Shadog uvesty of techology Zhagzhou Road # Zbo Shadog 09
More informationAPPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso
APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS Bud Satoso ABSTRACT APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Appoxmate aalytc
More informationELASTIC-PLASTIC STRESSES IN A THIN ROTATING DISK WITH SHAFTHAVING DENSITY VARIATION PARAMETER UNDER STEADY-STATE TEMPERATURE
Kagujevac J. Sc. 36 (4) 5-7. UDC 53.5 ELSTIC-PLSTIC STRESSES IN THIN ROTTING DISK WITH SHFTHVING DENSITY VRITION PRMETER UNDER STEDY-STTE TEMPERTURE Pakaj Thaku, Satya B Sgh ad Jatde Kau 3 Depatmet o Mathematcs,
More informationLearning Bayesian belief networks
Lectue 6 Leag Bayesa belef etwoks Mlos Hauskecht mlos@cs.ptt.edu 5329 Seott Squae Admstato Mdtem: Wedesday, Mach 7, 2004 I class Closed book Mateal coveed by Spg beak, cludg ths lectue Last yea mdtem o
More informationFIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES
Joual of Appled Matheatcs ad Coputatoal Mechacs 7, 6(), 59-7 www.ac.pcz.pl p-issn 99-9965 DOI:.75/jac.7..3 e-issn 353-588 FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL
More informationRANDOM SYSTEMS WITH COMPLETE CONNECTIONS AND THE GAUSS PROBLEM FOR THE REGULAR CONTINUED FRACTIONS
RNDOM SYSTEMS WTH COMPETE CONNECTONS ND THE GUSS PROBEM FOR THE REGUR CONTNUED FRCTONS BSTRCT Da ascu o Coltescu Naval cademy Mcea cel Bata Costata lascuda@gmalcom coltescu@yahoocom Ths pape peset the
More informationOn EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx
Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.
More informationare positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.
Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called
More informationWATER TREES INFLUENCE ON THE POWER CABLES INSULATION BREAKDOWN DURING OPERATION
Joual of Scece ad Ats Yea 10, No. 1 (12), pp. 59-66, 2010 WATER TREES INFLUENCE ON THE POWER CABLES INSULATION BREAKDOWN DURING OPERATION CRISTINA STANCU 1, PETRU V. NOTINGHER 2, MIHAI PLOPEANU 2, RADU
More informationOptical Remote Sensing with DIfferential Absorption Lidar (DIAL)
Optcal emote esg wth DIffeetal Absopt Lda DIAL Pat : Theoy hstoph eff IE Uvesty of oloado & OAA/EL/D/Atmosphec emote esg Goup http://www.esl.oaa.gov/csd/goups/csd3/ Guest lectue fo AE-659 Lda emote esg
More informationFUZZY MULTINOMIAL CONTROL CHART WITH VARIABLE SAMPLE SIZE
A. Paduaga et al. / Iteatoal Joual of Egeeg Scece ad Techology (IJEST) FUZZY MUTINOMIA CONTRO CHART WITH VARIABE SAMPE SIZE A. PANDURANGAN Pofesso ad Head Depatmet of Compute Applcatos Vallamma Egeeg College,
More informationMultivariate Transformation of Variables and Maximum Likelihood Estimation
Marquette Uversty Multvarate Trasformato of Varables ad Maxmum Lkelhood Estmato Dael B. Rowe, Ph.D. Assocate Professor Departmet of Mathematcs, Statstcs, ad Computer Scece Copyrght 03 by Marquette Uversty
More informationModule Title: Business Mathematics and Statistics 2
CORK INSTITUTE OF TECHNOLOGY INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ Semeste Eamatos 009/00 Module Ttle: Busess Mathematcs ad Statstcs Module Code: STAT 6003 School: School of Busess ogamme Ttle: Bachelo of
More information{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:
Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed
More informationNew approach for Finite Difference Method for Thermal Analysis of Passive Solar Systems
New appoach fo Fte Dffeece Method fo hemal Aalyss of Passve Sola Systems Stako Shtakov ad Ato Stolov Depatmet of Compute s systems, South - West Uvesty Neoft Rlsk, Blagoevgad, BULGARIA, (Dated: Febuay
More informationInequalities for Dual Orlicz Mixed Quermassintegrals.
Advaces Pue Mathematcs 206 6 894-902 http://wwwscpog/joual/apm IN Ole: 260-0384 IN Pt: 260-0368 Iequaltes fo Dual Olcz Mxed Quemasstegals jua u chool of Mathematcs ad Computatoal cece Hua Uvesty of cece
More informationMulti-objective optimization algorithms for finite element model updating
Mult-obectve optmzato algothms fo fte elemet model updatg E. Ntotsos ad C. Papadmtou Uvesty of hessaly, Depatmet of Mechacal ad Idustal Egeeg Volos 38334, Geece emal: costasp@me.uth.g Abstact A mult-obectve
More informationCouncil for Innovative Research
Geometc-athmetc Idex ad Zageb Idces of Ceta Specal Molecula Gaphs efe X, e Gao School of Tousm ad Geogaphc Sceces, Yua Nomal Uesty Kumg 650500, Cha School of Ifomato Scece ad Techology, Yua Nomal Uesty
More informationFault diagnosis and process monitoring through model-based case based reasoning
Fault dagoss ad pocess motog though model-based case based easog Nelly Olve-Maget a, Stéphae Negy a, Glles Héteux a, Jea-Mac Le La a a Laboatoe de Gée Chmque (CNRS - UMR 5503), Uvesté de Toulouse ; INPT-ENSIACET
More informationCE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr
CE 56 Letue otes Set 3 Optmal Tmg of Ivestmet Case A- C s ost. ost st y, beefts stat at the ed of st y C b b b3 0 3 Case B- Cost. s postpoed by oe yea C b b3 0 3 (B-A C s saved st yea C C, b b 0 3 Savg
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationOptical Remote Sensing with DIfferential Absorption Lidar (DIAL)
Optcal emote esg wth DIffeetal Absopt Lda DIAL Pat : Theoy hstoph eff IE Uvesty of oloado & OAA/EL/D/Atmosphec emote esg oup http://www.esl.oaa.gov/csd/goups/csd3/ uest lectue fo AE-659 Lda emote esg U
More informationChapter Linear Regression
Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use
More informationLecture 11: Introduction to nonlinear optics I.
Lectue : Itoducto to olea optcs I. Pet Kužel Fomulato of the olea optcs: olea polazato Classfcato of the olea pheomea Popagato of wea optc sgals stog quas-statc felds (descpto usg eomalzed lea paametes)!
More informationObjectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)
Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto
More informationMaximum Likelihood Estimation
Marquette Uverst Maxmum Lkelhood Estmato Dael B. Rowe, Ph.D. Professor Departmet of Mathematcs, Statstcs, ad Computer Scece Coprght 08 b Marquette Uverst Maxmum Lkelhood Estmato We have bee sag that ~
More informationPart 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))
art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the
More informationThe Open Civil Engineering Journal
Sed Odes fo Repts to epts@bethamscece.ae 738 The Ope Cvl Egeeg Joual, 06, 0, 738-750 The Ope Cvl Egeeg Joual Cotet lst avalable at: www.bethamope.com/tociej/ DOI: 0.74/87449506000738 RESEARCH ARTICLE The
More informationON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE
O The Covegece Theoems... (Muslm Aso) ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE Muslm Aso, Yosephus D. Sumato, Nov Rustaa Dew 3 ) Mathematcs
More informationL-MOMENTS EVALUATION FOR IDENTICALLY AND NONIDENTICALLY WEIBULL DISTRIBUTED RANDOM VARIABLES
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Sees A, OF THE ROMANIAN ACADEMY Volume 8, Numbe 3/27,. - L-MOMENTS EVALUATION FOR IDENTICALLY AND NONIDENTICALLY WEIBULL DISTRIBUTED RANDOM VARIABLES
More informationCollocation Method for Ninth order Boundary Value Problems Using Quintic B-Splines
Iteatoal Joual of Egeeg Ivetos e-issn: 78-7461, p-issn: 19-6491 Volume 5, Issue 7 [Aug. 16] PP: 8-47 Collocato Metod fo Nt ode Bouday Value Poblems Usg Qutc B-Sples S. M. Reddy Depatmet of Scece ad Humates,
More informationESS Line Fitting
ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here
More informationAIRCRAFT EQUIVALENT VULNERABLE AREA CALCULATION METHODS
4 TH ITERATIOAL COGRESS OF THE AEROAUTICAL SCIECES AIRCRAFT EQUIVALET VULERABLE AREA CALCULATIO METHODS PEI Yag*, SOG B-Feg*, QI Yg ** *College of Aeoautcs, othweste Polytechcal Uvesty, X a, Cha, ** Depatmet
More informationQuasi static field computation by finite elements: Recent developments with respect to the modeling of electrical machines
999 Computatoal Methods Egeeg'99 Eds.: P. M. Pmeta;. M. L.. F. Basl; E. S. lmeda. Quas statc feld computato by fte elemets: ecet developmets wth espect to the modelg of electcal maches K. Hameye Katholee
More informationCISC 203: Discrete Mathematics for Computing II Lecture 2, Winter 2019 Page 9
Lectue, Wte 9 Page 9 Combatos I ou dscusso o pemutatos wth dstgushable elemets, we aved at a geeal fomula by dvdg the total umbe of pemutatos by the umbe of ways we could pemute oly the dstgushable elemets.
More informationHarmonic Curvatures in Lorentzian Space
BULLETIN of the Bull Malaya Math Sc Soc Secod See 7-79 MALAYSIAN MATEMATICAL SCIENCES SOCIETY amoc Cuvatue Loetza Space NEJAT EKMEKÇI ILMI ACISALIOĞLU AND KĀZIM İLARSLAN Aaa Uvety Faculty of Scece Depatmet
More informationφ (x,y,z) in the direction of a is given by
UNIT-II VECTOR CALCULUS Dectoal devatve The devatve o a pot ucto (scala o vecto) a patcula decto s called ts dectoal devatve alo the decto. The dectoal devatve o a scala pot ucto a ve decto s the ate o
More informationChapter 9 Jordan Block Matrices
Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.
More informationKeywords: helicopter rotors, acoustic noise, unsteady flow, Ffowcs Williams-Hawking equation, Kirchhoff method
4 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES INVESTIGATION OF ROTOR NOISE PREDICTION USING DIFFERENT AEROACOUSTIC METHODS IN TIME DOMAIN Ha Zhoghua*, Sog Wepg*, Qao Zhde* *Nothweste Polytechcal
More informationThe calculation of the characteristic and non-characteristic harmonic current of the rectifying system
The calculato of the chaactestc a o-chaactestc hamoc cuet of the ectfyg system Zhag Ruhua, u Shagag, a Luguag, u Zhegguo The sttute of Electcal Egeeg, Chese Acaemy of Sceces, ejg, 00080, Cha. Zhag Ruhua,
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationA New Approach to Moments Inequalities for NRBU and RNBU Classes With Hypothesis Testing Applications
Iteatoal Joual of Basc & Appled Sceces IJBAS-IJENS Vol: No:6 7 A New Appoach to Momets Iequaltes fo NRBU ad RNBU Classes Wth Hypothess Testg Applcatos L S Dab Depatmet of Mathematcs aculty of Scece Al-Azha
More informationSecond Geometric-Arithmetic Index and General Sum Connectivity Index of Molecule Graphs with Special Structure
Iteatoal Joual of Cotempoay Mathematcal Sceces Vol 0 05 o 9-00 HIKARI Ltd wwwm-hacom http://dxdoog/0988/cms0556 Secod Geometc-Athmetc Idex ad Geeal Sum Coectty Idex of Molecule Gaphs wth Specal Stuctue
More informationC-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory
ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?
More informationVIII Dynamics of Systems of Particles
VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:
More informationCounting pairs of lattice paths by intersections
Coutg pas of lattce paths by tesectos Ia Gessel 1, Bades Uvesty, Waltham, MA 02254-9110, USA Waye Goddad 2, Uvesty of Natal, Duba 4000, South Afca Walte Shu, New Yo Lfe Isuace Co., New Yo, NY 10010, USA
More informationConsider two masses m 1 at x = x 1 and m 2 at x 2.
Chapte 09 Syste of Patcles Cete of ass: The cete of ass of a body o a syste of bodes s the pot that oes as f all of the ass ae cocetated thee ad all exteal foces ae appled thee. Note that HRW uses co but
More informationANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK
Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION
More informationTHREE-PARAMETRIC LOGNORMAL DISTRIBUTION AND ESTIMATING ITS PARAMETERS USING THE METHOD OF L-MOMENTS
RELIK ; Paha 5. a 6.. THREE-PARAMETRIC LOGNORMAL DISTRIBUTION AND ESTIMATING ITS PARAMETERS USING THE METHOD OF L-MOMENTS Daa Bílová Abstact Commo statstcal methodology fo descpto of the statstcal samples
More informationDetection and Estimation Theory
ESE 54 Detecto ad Etmato Theoy Joeph A. O Sullva Samuel C. Sach Pofeo Electoc Sytem ad Sgal Reeach Laboatoy Electcal ad Sytem Egeeg Wahgto Uvety Ubaue Hall 34-935-473 (Lyda awe) jao@wutl.edu J. A. O'S.
More informationFeature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture)
CSE 546: Mache Learg Lecture 6 Feature Selecto: Part 2 Istructor: Sham Kakade Greedy Algorthms (cotued from the last lecture) There are varety of greedy algorthms ad umerous amg covetos for these algorthms.
More informationˆ SSE SSE q SST R SST R q R R q R R q
Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE
More informationTHREE TYPES OF LINEAR THEORIES FOR ATOMIZING LIQUIDS
ILASS Amecas, 9 th Aual Cofeece o Lqud Atomzato ad Spay Systems, Tooto, Caada, May 006 THREE TYPES OF LINEAR THEORIES FOR ATOMIZING LIQUIDS S.P. L * ad Z.L. Wag Depatmet of Mechacal ad Aeoautcal Egeeg
More informationLoad sharing model and thermal study for polymer gears
Ogal Atcle HOME Poceedgs of IDMME - Vtual Cocept 200 Bodeaux, Face, Octobe 20 22, 200 Load shag model ad themal study fo polyme geas Ec Letzelte, Jea-Pee de Vaujay, Mchèle Gugad, Paule Schlosse 2 () :
More informationParameter Identification of the Soil-Water Characteristic Curve of Brazilian Residual Soils Using Hybrid Optimization Methods
2 d Iteatoal Cofeece o Egeeg Optmzato Septembe 6-9, 21, Lsbo, Potugal Paamete Idetfcato of the Sol-Wate Chaactestc Cuve of Bazla Resdual Sols Usg Hybd Optmzato Methods Adeso M. Feea 1, Facsco José C. P.
More informationA Comparison of Different Approaches to Hierarchical Clustering of Ordinal Data
Metodološk zvezk, Vol., No.,, 57-7 A Compaso of Dffeet Appoaches to Heachcal Clusteg of Odal Data Aleš Žbea, Nataša Keža, ad Peta Golob Abstact The pape tes to aswe the followg questo: How should we teat
More informationRandomly Weighted Averages on Order Statistics
Apple Mathematcs 3 4 34-346 http://oog/436/am3498 Publshe Ole Septembe 3 (http://wwwscpog/joual/am Raomly Weghte Aveages o Oe Statstcs Home Haj Hasaaeh Lela Ma Ghasem Depatmet of Statstcs aculty of Mathematcal
More informationF speckles are randomly located. Therefore, as a general. Ultrasonic Texture Motion Analysis: Theory and Simulation
IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 4. NO. 2, JUNE 995 293 Ultasoc Textue Moto Aalyss: Theoy ad Smulato Jea Meue, Membe, IEEE ad Mchel Betad Abstuct- A theoetcal model was pevously developed to
More informationBeam Warming Second-Order Upwind Method
Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet
More informationLINEAR REGRESSION ANALYSIS
LINEAR REGRESSION ANALYSIS MODULE V Lecture - Correctg Model Iadequaces Through Trasformato ad Weghtg Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur Aalytcal methods for
More informationDerivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations
Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat
More information