Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Resonators

Size: px
Start display at page:

Download "Time Domain Modelling of Optical Add-drop filter based on Microcavity Ring Resonators"

Transcription

1 IOSR Jour of ecroc d Commuco geerg IOSR-JC e-issn: p- ISSN: Voume Iue 6 Ver. II Nov - Dec.5 PP Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Nbe A. Abuh Ro e Fh Awfe 3 Sh Ob 4 Deprme of ecrc d ecroc geerg Fcu of geerg Uver of Au-b geerg Deprme cer Uver cer A 4YR.UK 3 Deprme of ecrc d ecroc geerg Fcu of Scece geerg d Techoog Uver of Sebh-b. 4 Cere for Phooc d Smr Mer Zew C of Scece d Techoog Shekh Zed Drc 6 h of Ocober c G gp Abrc: I h pper ccure of wo-dmeo D couped rg reoor bed o hghde-cor crred ou. The ormed rmo pecr for ge-rg d doube-rg cofguro hve bee veged b ug robu d ccure Mureouo Tme Dom MRTD echque wh couco wh u perfec mched er UPM borbg boudr codo h rgorou erme he compuo wdow. The reo-mode qu fcor Q free pecr rge FSR re umerc veged. The vro of he rucure prmeer uch he mmerc d mmerc gp e g ed o drmc chge of Q d he eco ro of he devce. Sude of he rmo chrcerc for he rg dmeer of 3.4 μm how he pob for chevg Q ever houd d FSR of 9 TZ 8m he.55 μm wveegh rge. Keword:- mureouo me dom mcrocv umerc rg reoor me dom mehod. I. Iroduco Rece dvce mcro d ofbrco echoog hve brough ew ere budg opc devce wh phc dmeo comprbe o opc wveegh [ ]. I prcur mcrocv reoor bed o whperg-ger-mode WGM p gfc roe m ppco rgg from quum eecrodmc o eecommuco devce d opc eor [3-8]. A prcur wveegh gh he bu e wvegude c evece couped hrough he gp o WGM of he reoor f proper phe mchg codo e. B me of refrcve de cor bewee core d cddg gh whch rveg medum of crcur geomer uch rg c be reo cofed b o er refeco TIR[9]. Thee mode c reoe wh hgh qu fcor Q he cv where he og phoo feme ow he fed wh he cv o be bu from coderb weker pu [] []. orc he org cocep of opc rg reoor bck de o 969[] where reve opc rg reoor mde drec er wre pomer[3] d o-echged g ubre[4] were demored. owever due o ow-de-cor bewee he reoor medum d he urroudg mer he rdu eeded o be of he order of ever cemere o bed oe [] [5]. I he few er reerch ere h bee rog dreced o he deg of opc rg reoor bed o hgh-de-cor emcoducor mer [ 6 7]. Thee reerch effor hve cer demored h hee rucure ur perm reo of mrdu mcrocve wh eggbe bedg oe reug rge ogud mode pcg. For h reo he ebe he egro of rge umber of devce o opc crcu foreee for ver rge ce egred VSI phooc []. For cve devce ppco wde rge of reerch ude c be foud erure o rog gudg emcoducor rg er wh dmeer rgg from o 5 µm. d rge wvegude wdh from 4 o µm [8] [9] []. I order o cqure gh oupu hee rg reoor re couped o oupu b me of Y uco. Thk o eg emcoducor fbrco echque gh he bu wvegude c be evece couped hrough he gp o whperg ger mode of he reoor f he proper phe mchg codo e. Opc mcrorg reoor MRR bed o hgh-de-cor emcoducor wvegude re be o uppor rog cofed WGM wh dmeer m - µm[]. If he free pecr rge FSR of he rg c be mde wde eough o ccommode he e of WDM che wh he commuco wdow oe c cheve he go of droppg oe che b oe fer whou ffecg he oher che. To eure FSR rger h he opc commuco wdow 3m rg rdu of e h 5 μm requred. Sce he MRR hve bee recoged compced rucure d co be ed b ug mpe echque he chrcero of hee devce uu ecee fu-wve eecromgec muor. I order o chooe prcur muo pproch geer wo crer hve o be ke o ccou. Fr he dered reu eeded o be ccomphed wh vbe reource d ecod DOI:.979/ Pge

2 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor CPU muo me h o be opmed o ob hee reu. Sce he fr pec reed o he covergece re of he ued echque rge compuo probem c be uded wh hgh coverge gorhm. O he oher de he eecuo muo me o o ree o he co of me per me ep bu o deped o he umber of me ep h hve o be crred ou. Amog he eg fu-wve echque Fe Dfferece Tme Dom FDTD kow popur frmework for ow-co feb ude d perm deg opmo before fbrcg he devce[]. Ahough h echque rghforwrd d dpbe pu hev burde o compuer reource pec whe modeg compe probem wh rge compuo voume. The more ophced MRTD echque ued here o e MRR devce [-3]. Th echque w roduced b Krumpho d Keh 996 [4] for he mcrowve rge d h bee rece eeded o for he opc rge [3]. Th mehod ue hgh order of ppromo of dervve pce o reduce he umerc phe error of FDTD. B dog o MRTD doe o requre he ue of ver fe meh e o dcree he rucure geomer d hgh umerc ccurc c be cheved whe mgg he compuo burde. Therefore he pob of vg CPU rug me mke he MRTD effce erve umerc cheme o he commo ued FDTD for he deg of mcrorg rucure. I h pper MRTD h bee ued o e he rmo chrcerc of dffere order of MRR. The m focued o he erco of dffere reo mode where dffere vego hve bee crred ou o epore he effec of dffere prmeer of he rucure o rmed d couped power. Prmeer uch gp e he dce bewee wo rg d he wdh of rg d wvegude hve bee vred d e of dffere reu hve bee preeed. Th pper orged foowg. Foowg h roduco bref mhemc gve eco. The muo reu re preeed eco 3. F cocuo re drw. II. A Srg from Mwe equo d for D rucure - pe he rvere eecrc mode T wh compoe d derved uder umpo h - he homogeeou dreco d he - he propgo dreco. b r c Wh repec o he u ce how Fg. he eecromgec fed re epded combo of cg fuco pce d r fuco me ug h where d re he dcree dee me d pce repecve Φ he cg fuco repreeg he mpg pce h he r fuco d compoe o whch he erve proce of upde pped o. he epo coeffce for DOI:.979/ Pge

3 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor DOI:.979/ Pge Fgure : ecrc d mgec fed epo pced de -D MRTD u ce. Subug he fed epo he form of 4 o he cr Mwe equo d eg hem wh he du of he borhogo cg fuco m ~ wh m= b ppg he mehod-of-mome ed o he dcreed upde equo [3]: 3 3b 3c where µ ε re permeb d permv of he free pce repecve ε he reve permv of he medum d Δ me ep. Δ d Δ re he p creme he dreco of d repecve. The ec e d for he effecve uppor of he b fuco h deerme he umber of epo coeffce codered he ummo d equ o 5 for CDF4 whe repree he coeco coeffce h c be umerc ccued ug [3] ' ' d 4 The vue of he coeco coeffce for he ce of CDF4 re repored []. I order o eure he umerc b of he MRTD cheme he me erv Δ h o be mer h cer m foow c 5 wh 6

4 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor DOI:.979/ Pge where Δ=Δ=Δ c he peed of he gh d he Cour umber repree he b fcor whch covee fed o. hrough he pper [3]. The u perfec mched er UPM re ver effce d robu w o erme he compuo dom wh er of rfc borber h cpbe of ver-ow refeco d h bee uccefu corpored wh MRTD cheme boudr codo. A empe he dcreed equo o upde compoe hrough he dpceme vecor D re repored here D D 7 D D 7 b where ε he reve permv of he medum d σ d σ re he eecrc coducve of he UPM og d dreco repecve. Aogue equo re derved for he mgec fed compoe [3]. For he be performce of UPM borbg boudr codo he prmeer σ = choe o vr pce m m d m 8 where = d he deph of he UPM d m d for he order of he poom vro. The choce of σ m h mme refeco from he boudre [5] r m 5 m 9 where Δ he p dcreo doped = d he deph of he UPM d m d for he order of he poom vro. The choce of σ m h mme refeco from he boudre [5] r m 5 m 9 where Δ he p dcreo doped. III. Reu Ad Dcuo A fr rucure he ge MRR how Fg. h bee codered where he wdh W =.3 µm he rg dmeer d = 3.4 µm d he core d he cddg hve refrcve dce of core = 3. d c = repecve.

5 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Fgure : Schemc of mcrorg reoor couped o wo rgh wvegude. The rucure dcreed o uform meh wh ce e Δ = Δ = Δ = 7.5 m d ermed b -ce UPM o borb he refeced power.. I mpor o oce h he choe Δ bou wce he vue requred b prevou of MRR rucure b me of FDTD foud []. Where he me eve of ccurc c be cheved d he pob o ve he CPU rug me o c be obed. A Gu hped pue pce wh cer frequec f = T λ =.5µm modeed wh Gu pue me h bee ued o ece he rucure o cover he frequec rge of ere. A how Fg. dffere croeco re choe order o record he me dom vro he cde rmed d refeced fed. B me of F Fourer Trform FFT of he recoded me-depede fed he couped power por C d he rmed power por B re ccued b dvdg he couped d rmed pecr b cde pecrum por A repecve. The effec of he gp e g o couped power κ d Q how Fg.3 he reoce mode of 53 m. Fgure 3: ffec of he gp wdh o he reoce qu fcor d coupg coeffce. DOI:.979/ Pge

6 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor I ppre h cree of g h gfc effec o boh Q d κ. Sce wh he cree gp e he coupg effcec of he reoce mode decree due o m frco of power echged whe he Q vue cree. The coupg effcec c be ehced order o compee he oe he cv d h w mprove he rmo. owever he qu fcor w be degrded. For h reo he opmum vue of gp e eed o be crefu choe order o cheve reobe hgh qu fcor whe he coupg effcec wh derbe rge. Accordg o Fg. 3 good comprome c be cheved b choog he g = 8 m where he vue of he κ d Q re.4 % d 398 repecve. Ne he rmo por B for 3.4 µm-dmeer rg d 8 m of g codered. The meured rmo pecrum of ge-rg reoor roud λ =.55 μm preeed Fg. 4. Fgure 4: MRTD-compued Trmo for.7-µm-rdu mcrorg reoor couped o rgh.3-µmwde wvegude. From h fgure he oced reoce wveegh d Q d correpodg coupg effcec re ed be I. TAB I Reoce D from Fg.4 for 3.4 μm-dmeer MRR d w =.3 μm m F T λ re m Q The Q of he m h reoce erced drec from power pecrum b formg he ro of he reo wveegh λ m o he wdh of he reoce δλ he hf-power po. The FSR whch defed he pcg bewee wo dce reo wveegh rge bewee 6 o 8 m. The reeco ro or o/off ro whch he ro of power rmed reoce wveegh o he power o rmed reoce wveegh pprome 6dB. Fg.5 how he vro of eco ro fuco of gp e. DOI:.979/ Pge

7 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Fgure 5: ffec of he gp wdh o he o-off ro. A c bee ee from Fg. 5 he eco ro c be ered b vrg he coupg effcec κ. owever he Q w be o ffeced h mer dced from Fg. 3. ve hough he reeco ro requred beg rge eough o mme he crok he qu fcor eeded o be hgh ome ppco reed o WDM. I order o cree he eco ro whe he reobe qu fcor c be o obed doube pre mcrocv rg reoor DPMRR uggeed. The rucure how Fg. 6 co of wo pre rg reoor cered bewee wo rgh wvegude. Fgure.6: pre couped mcrorg reoor doube rg ce. The foowg eeco of prmeer re choe foowg: he dmeer of rg re d = 3.4 µm he core d he cddg hve refrcve dce of core = 3. d c = repecve he wdh of rg d rgh wvegude re W =.3 µm he gp wdh bewee he ouer rg d rgh wvegude e o be 8 m. The rucure eced he me mer ge rg. The dce from cere o cere deoed b Λ bewee wo rg e o 5 μm. The rmo chrcerc how Fg. 7 cheved ug DPMRR. DOI:.979/ Pge

8 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Fgure.7: MRTD-compued Trmo for.7-µm-rdu doube mcrorg reoor couped o rgh.3- µm-wde wvegude where he dce bewee wo rg 5 µm. The oced reoce wveegh erced d Q of he m h reoce ccued drec from power pecrum he me mer ge rg ce. Thee reu re ed be II. Tbe II Rece D From Fg. 7 For 3.4-μm-Dmeer PDMRR d w =.3 μm m F T λ re m Q A how h be here gh chge he qu fcor. Whe he o- off ro rge bewee 4 o db dffere reoce wveegh. The effec of chge he gp e bewee he pu d oupu wvegude d he rg codered. Two pe of chge of g d g re dcued. Chge boh gp dec d chge o oe of he gp e whe keepg he oher co. Fgure 8 d 9 how he effec of he mmerc chge where g= g =9 m d mmerc chge where g=9 m d g=45 m. The dce bewee wo rg e o Λ=5µm. Bed o he coupg whch decree hgh frequece he Q houd cree wh frequec. Such behvour oberved Fg. 8. DOI:.979/ Pge

9 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Fgure.8: ffec of mmerc d mmerc chge of boh epro dce o he qu fcor. owever he gp wdh g g re reduced he coupg effcec bewee he rgh pu wvegude d he cv cree whe he rmed power hroughou por decree. Due o he decree he eve of rmed power hroughou por hgher o-off ro cheved whe he eve of he Q decreed. Fgure 9 how he MRTD reu for DPMRR for mmerc gp wdh. Fgure. 9: ffec of mmerc d mmerc chge of boh epro dce o he o-off ro. Keepg he gp wdh g co d g creed d he he coupg bewee he pu wvegude d he cv cree. Due o he cree he eve of coupg power he eve of rmed power hroughou por decree. O he oher hd keepg he gp wdh g co f g creed he he coupg bewee he oupu wvegude d he cv decree. A more power remed he cv he Q creed whe he eve of o-off ro decree. Fgure how he eecrc fed per bewee he wvegude d he cv whe uod coue wve h bee eced d reched he ed e. The wveegh of he uod fed 655 m 8. T. A how h fgure er % of he power wched o he cv whch ur wched o he oupu wvegude. DOI:.979/ Pge

10 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Fgure.: Suod ed-e mpude drbued.7-µm-rdu mcrorg reoor: ON-reoce 655 m I he me mer he ed-e -fed compued for eco oreo wveegh 65 m 85.7 T ured Fg. A how h fgure o coupg occurred bewee he pu wvegude d he cv d % of he g rmed oupu por B. Fgure.: Suod ed-e mpude drbued.7-µm-rdu mcrorg reoor: OFF-reoce 65 m IV. Cocuo I h pper opc mcrocv rg reoor bed o hgh-de-cor wvegude hve bee ed b ug MRTD formuo bed o CDF 4 cg fuco d rgorou UPM boudr codo. The pproch h proved good eve of ccurc ercg d udg he reoce behvour of h rucure. The opmo of umber of mpor prmeer cudg coupg coeffce qu fcor d reeco ro h bee dcued. A hgh-order rucure cog of wo rg reoor pre wh cere dce of µm h how ereg poe creg he o-off ro where derbe o mme he cro k of he devce. Furhermore b ug mmerc gp e he reeco ro of he devce h gfc creed of bou 6 % compred o he be reu he mmerc gp e ce. DOI:.979/ Pge

11 Tme Dom Modeg of Opc Add-drop fer bed o Mcrocv Rg Reoor Referece []. Tfove A. ge S. C.: 'Compuo eecrodmc: The fe-dfferece Tme-Dom Mehod Arech oue Norwood Ic 5 []. Suher R..: 'Opc procee mcrocve' emcod. Sc. Techo S pp. 5-3 [3]. Guro A. Pober G. RZZONICO D. DG'INNOCNTI R. GUNTR P.: 'ecro-opc ube mcrorg reoor hum obe' Nure Phooc 7 pp [4]. Vh K. J.: 'Opc mcrocve' Nure pp [5]. Grove R. V V. Ibrhm T. A. Ab P. P. Chou. C. Joho F. G. rewc J. V. o P. T.: 'Pre Ccded emcoducor mcrorg reoor hgh order d wde-fsr fer' J. ghwve.techo. 5 pp [6]. Rbu D. G. mcher M. Troppe U. edrch.: 'gh-q che-droppg fer ug rg reoor wh egred SOA' I Phoo.Techo. e. 4 pp [7]. Smo. erk C. Aedropouo D. Srd D.: 'Irbd crok propere of dd-drop fer bed o cve mcrorg reoor I Phoo.Techo. e. 797/ pp [8]. Cho C. Y. Fug W. Guo. J.: 'Pomer mcrorg reoor for bomedc eg ppco' I J.Se. Top. Quum ecro. 6 pp [9]. Arod S.: 'Mcrohere phooc om d he phc of ohg' Amerc Sce 895 pp []. Br S. Che Y.: 'Reoce-ehced evece- wve fuorecece boeg wh cdrc opc cve' Apped Opc 44 pp []. Regh.: 'The Probem of he Whperg Ger' Scefc PperCmbrdge Uver Cmbrdge gd9 5 pp []. Mrce. A. J.: 'Bed Opc Deecrc Gude' J.The Be Sem Techo pp. 3-3 [3]. vo J. Per G. A.:' Reoce effec ow-o rg wvegude' Op. e5 pp. 5 5 [4]. od K. Grmre. M. Wo K..: 'Chrcerc of egred opc rg reoor fbrced g' J. ghwve Techo pp [5]. Smh. K. Peg. C. M. Bok. B.: 'A ormed pproch o he deg of ow-o opc wvegude bed' J. ghwve Techo 993 pp [6]. Rfdeh D. Zhg J. P. ge S. C. Tfove A. Sr K. A. o S. T.: 'Wvegude-couped AGA/GA mcrocv rg d dk reoor wh hgh fee d.6-m free pecr rge': Op. e pp [7]. Brwc T. Popovc M. W M. R. Rhch P. T. Ippe. P. Smh. I.: 'Fbrco of dd-drop fer bed o frequecmched mcrorg reoor' J. ghwve Techo645 pp. 7-8 [8]. Jeerh A. F. bor P. J. R.: 'Iegred emcoducor rg er' I. ec. g. Proc. J pp. 7-4 [9]. Kru T. bour P. J. R. Rober J.: 'CW opero of emcoducor rg er' eco. e pp []. ohmer J. P. Crf D. C. de G. R. Vwer G. A. Wrre M..: 'Sge-frequec couou-wve opero of rg reoor dode er' App. Ph. e99593 pp []. Teer. M. Robero R.. rve J. Keh.: 'Sb d dpero of Be-emre bed MRTD cheme' I Tr.Mcrowve heor Tech pp. 4-3 []. Dogru T. Cr.: 'Mureouo Tme-Dom Ug CDF Borhogo wvee' I Tr.Mcrowve heor Tech. 495 pp [3]. e R. Ob S. S. A.: 'ffce mureouo me dom of rbrr hped phooc devce' ITopoeecroc86 pp [4]. Krumpho M. Keh. P. B.: 'MRTD: ew me dom cheme bed o mureuo ' I Tr.Mcrowve heor Tech pp [5]. Zhu X. Dogru T. Cr.: 'Three-Dmeo Borhogo Mureouo Tme-Dom Mehod d I ppco o ecromgec Scerg Probem' I Tr.O Ae d Propg.355 pp DOI:.979/ Pge

BEST PATTERN OF MULTIPLE LINEAR REGRESSION

BEST PATTERN OF MULTIPLE LINEAR REGRESSION ERI COADA GERMAY GEERAL M.R. SEFAIK AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMAIA SLOVAK REPUBLIC IERAIOAL COFERECE of SCIEIFIC PAPER AFASES Brov 6-8 M BES PAER OF MULIPLE LIEAR REGRESSIO Corel GABER PEROLEUM-GAS

More information

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

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

More information

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

Analysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag

Analysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag Jourl of Compuo & Modellg vol. o. 6-9 ISS: 79-76 (pr) 79-88 (ole) Scepre Ld l of he Preferece Shf of Cuomer Brd Seleco d I Mr Srucure -Epo o he ecod order lg Kuhro Teu rc I ofe oerved h coumer elec he

More information

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

Calculation of Effective Resonance Integrals

Calculation of Effective Resonance Integrals Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro

More information

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence C344: Iroduco o Arfcal Iellgece Puhpa Bhaacharyya CE Dep. IIT Bombay Lecure 3 3 32 33: Forward ad bacward; Baum elch 9 h ad 2 March ad 2 d Aprl 203 Lecure 27 28 29 were o EM; dae 2 h March o 8 h March

More information

Modification of raised cosine weighting functions family

Modification of raised cosine weighting functions family Compuol Mehod d Expermel Meureme XIV 9 Modfco of red coe eghg fuco fmly C. Lek,. Klec & J. Perk Deprme of Elecroc, Mlry Uvery of echology, Pold brc Modfco of he ko fmly of red coe eghg fuco h he poer of

More information

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

The Signal, Variable System, and Transformation: A Personal Perspective

The Signal, Variable System, and Transformation: A Personal Perspective The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A

More information

Policy optimization. Stochastic approach

Policy optimization. Stochastic approach Polcy opmzo Sochc pproch Dcree-me Mrkov Proce Sory Mrkov ch Sochc proce over fe e e S S {.. 2 S} Oe ep ro probbly: Prob j - p j Se ro me: geomerc drbuo Prob j T p j p - 2 Dcree-me Mrkov Proce Sory corollble

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

Isotropic Non-Heisenberg Magnet for Spin S=1

Isotropic Non-Heisenberg Magnet for Spin S=1 Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue

More information

State The position of school d i e t i c i a n, a created position a t S t a t e,

State The position of school d i e t i c i a n, a created position a t S t a t e, P G E 0 E C O E G E E FRDY OCOBER 3 98 C P && + H P E H j ) ) C jj D b D x b G C E Ob 26 C Ob 6 R H E2 7 P b 2 b O j j j G C H b O P G b q b? G P P X EX E H 62 P b 79 P E R q P E x U C Ob ) E 04 D 02 P

More information

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh

More information

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25 Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:

More information

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or

More information

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society ABSTRACT Naoa Coferece o Rece Tred Syhe ad Characerzao of Fuurc Maera Scece for he Deveome of Socey (NCRDAMDS-208) I aocao wh Ieraoa Joura of Scefc Reearch Scece ad Techoogy Some New Iegra Reao of I- Fuco

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

Abstract. 1. Introduction

Abstract. 1. Introduction Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG

More information

Introduction to Neural Networks Computing. CMSC491N/691N, Spring 2001

Introduction to Neural Networks Computing. CMSC491N/691N, Spring 2001 Iroduco o Neurl Neorks Compug CMSC49N/69N, Sprg 00 us: cvo/oupu: f eghs: X, Y j X Noos, j s pu u, for oher us, j pu sgl here f. s he cvo fuco for j from u o u j oher books use Y f _ j j j Y j X j Y j bs:

More information

Speech, NLP and the Web

Speech, NLP and the Web peech NL ad he Web uhpak Bhaacharyya CE Dep. IIT Bombay Lecure 38: Uuperved learg HMM CFG; Baum Welch lecure 37 wa o cogve NL by Abh Mhra Baum Welch uhpak Bhaacharyya roblem HMM arg emac ar of peech Taggg

More information

Unscented Transformation Unscented Kalman Filter

Unscented Transformation Unscented Kalman Filter Usceed rsformo Usceed Klm Fler Usceed rcle Fler Flerg roblem Geerl roblem Seme where s he se d s he observo Flerg s he problem of sequell esmg he ses (prmeers or hdde vrbles) of ssem s se of observos become

More information

Multiconductor Transmission Line Modeling with VHDL-AMS for EMC Applications

Multiconductor Transmission Line Modeling with VHDL-AMS for EMC Applications Mucoducor rsmsso e Modeg wh HD-MS for M ppcos H. Zhg K. Seber S. Fre. Wee W. Mcsch Dormud Uersy of echoogy Dormud Germy Ü-Nord sse Germy bsrc mucoducor rsmsso e M mode for he me dom cosderg osses cde feds

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model Joura of Saca Theory ad Appcao Vo. No. (Sepember ) - Parameer Emao a Geera Faure Rae Sem-Marov Reaby Mode M. Fahzadeh ad K. Khorhda Deparme of Sac Facuy of Mahemaca Scece Va-e-Ar Uvery of Rafaja Rafaja

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use

More information

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

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

More information

Competitive Facility Location Problem with Demands Depending on the Facilities

Competitive Facility Location Problem with Demands Depending on the Facilities Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg

More information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

Is A Quantum Stabilizer Code Degenerate or Nondegenerate for Pauli Channel?

Is A Quantum Stabilizer Code Degenerate or Nondegenerate for Pauli Channel? I A uu Szer Code Degeere or Nodegeere for Pu Che? Fgyg o wu Che Abrc g error ydroe o he error oeror he core of quu decodg ework d o he key e of recoery he defo of he b-f error ydroe rx d he he-f error

More information

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body. The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD

Least squares and motion. Nuno Vasconcelos ECE Department, UCSD Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem

More information

A NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER

A NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER Jourl of ure d Appled Mhemcs: Advces d Applcos Volume 9 Numer ges -9 Avlle hp://scefcdvcesco DOI: hp://dxdoorg/6/ms_9 A NEW FIVE-OINT BINARY UBDIVIION CHEME WITH A ARAMETER YAN WANG * d HIMING LI chool

More information

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd,

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd, Ieol Mhemcl oum Vol. 9 4 o. 3 65-6 HIKARI Ld www.m-h.com hp//d.do.o/.988/m.4.43 Some Recuece Relo ewee he Sle Doule d Tple Mome o Ode Sc om Iveed mm Duo d hceo S. M. Ame * ollee o Scece d Hume Quwh Shq

More information

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN Euroe Jour of Mthemtcs d omuter Scece Vo. No. 6 ISSN 59-995 ISSN 59-995 ON AN INVESTIGATION O THE MATRIX O THE SEOND PARTIA DERIVATIVE IN ONE EONOMI DYNAMIS MODE S. I. Hmdov Bu Stte Uverst ABSTRAT The

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

The Lucas congruence for Stirling numbers of the second kind

The Lucas congruence for Stirling numbers of the second kind ACTA ARITHMETICA XCIV 2 The Luc cogruece for Srlg umber of he ecod kd by Robero Sáchez-Peregro Pdov Iroduco The umber roduced by Srlg 7 h Mehodu dfferel [], ubequely clled Srlg umber of he fr d ecod kd,

More information

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Exact Moments of Record Values from Burr Distribution. with Applications

Exact Moments of Record Values from Burr Distribution. with Applications Ieo Jou of Comuo d Theoec Sc ISSN -59 I. J. Com. Theo. S. No. Nov-5 Ec Mome of Recod Vue fom Bu Dbuo wh Aco M. J. S. Kh A. Shm M. I. Kh d S. Kum 3 Deme of Sc d Oeo Reech Agh Mum Uve Agh Id Deme of Mhemc

More information

Partial Molar Properties of solutions

Partial Molar Properties of solutions Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

Cyclone. Anti-cyclone

Cyclone. Anti-cyclone Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

An improved Bennett s inequality

An improved Bennett s inequality COMMUNICATIONS IN STATISTICS THEORY AND METHODS 017,VOL.0,NO.0,1 8 hps://do.org/10.1080/0361096.017.1367818 A mproved Bee s equly Sogfeg Zheg Deprme of Mhemcs, Mssour Se Uversy, Sprgfeld, MO, USA ABSTRACT

More information

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

Fresnel Equations cont.

Fresnel Equations cont. Lecure 12 Chaper 4 Fresel quaos co. Toal eral refleco ad evaesce waves Opcal properes of meals Laer: Famlar aspecs of he eraco of lgh ad maer Fresel quaos r 2 Usg Sell s law, we ca re-wre: r s s r a a

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

Chapter3 Pattern Association & Associative Memory

Chapter3 Pattern Association & Associative Memory Cher3 Per Aoco & Aocve Memor Aocg er hch re mlr, corr, cloe roxm l, cloe ucceo emorl Aocve recll evoe oced er recll er b r of evoe/recll h comlee/ o er To e of oco. For o er d heero-oco! : relg o dffere

More information

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state) Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

GENESIS. God makes the world

GENESIS. God makes the world GENESIS 1 Go me he or 1 I he be Go me he b heve he erh everyh hh p he y. 2 There oh o he e erh. Noh ve here, oh *o ve here. There oy e eep er over he erh. There o h. I very r. The f Spr of Go move over

More information

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information

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

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

More information

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

Theory of Low Frequency Instabilities Near Transport Barriers

Theory of Low Frequency Instabilities Near Transport Barriers A. L. Roger Theory of Low Frequecy Ible er Trpor Brrer Iu für Plmphyk Forchugzerum Jülch GmbH EURATOM Aoco Trlerl Eurego Cluer D-545 Jülch Germy e-ml:.roger@ fz-juelch.de Abrc: The heory of low frequecy

More information

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg

More information

district department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS

district department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS F f ddy f p SEL ev 6 RS 49 h f e f pub ed d y be pubhed epdued p e ype peby bk k ub f ffe fude dde e 4v4L 6 hw e hud ppe b e e u fx b 7 f AUS p d dep pube e fa f Pde V A 4 q k 6 S4 8 W9 f ede 4 9f e L

More information

Development of a Nodeless and Consistent Finite Element Method force method forever

Development of a Nodeless and Consistent Finite Element Method force method forever W Ffh Word ogre o opo echc J 7 e r d: H g FG Rerorfer J erhrdeer eveope of Nodee d oe Fe ee ehod force ehod forever Tdhko K Profeor er The Uver of Toko 7 Hogo kok Toko Jp e: k@ocejp Ke ord: dvergece heore

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Novel Bose-Einstein Interference in the Passage of a Jet in a Dense Medium. Oak Ridge National Laboratory

Novel Bose-Einstein Interference in the Passage of a Jet in a Dense Medium. Oak Ridge National Laboratory Rdge Worksho, INT, My 7-, 0 Novel Bose-Ese Ierferece he Pssge of Je Dese Medu Cheuk-Y Wog Ok Rdge Nol Lborory Our focus: recols of edu ros fer je collso Poel odel versus Fey lude roch Bose-Ese erferece

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

Evaluation of Minimum Variance Distortionless Response Beamforming Algorithm Based Circular Antenna Arrays

Evaluation of Minimum Variance Distortionless Response Beamforming Algorithm Based Circular Antenna Arrays Moder Appled Scece; Vol. No. ; 07 ISSN 93-844 E-ISSN 93-85 Publhed b Cd Ceer of Scece d Educo Evluo of Mmum Vrce Dorole epoe Bemformg Algorhm Bed Crculr Ae Arr Suhl Njm Shhb Ab od Zu Blm S. S. Nurul zl

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

Introduction to Laplace Transforms October 25, 2017

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

More information

700 STATEMENT OF ECONOMIC

700 STATEMENT OF ECONOMIC R RM EME EM ERE H E H E HE E HE Y ERK HE Y P PRE MM 8 PUB UME ER PE Pee e k. ek, ME ER ( ) R) e -. ffe, ge, u ge e ( ue ) -- - k, B, e e,, f be Yu P eu RE) / k U -. f fg f ue, be he. ( ue ) ge: P:. Ju

More information

Application of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations

Application of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations Amerc Jourl of Compuol Appled Mhemcs: ; (: 4-47 DOI:.593/j.jcm..8 Applco of Mulple Exp-Fuco Mehod o Ob Mul-Solo Soluos of ( + - (3 + -Dmesol Breg Solo Equos M. T. Drvsh,*, Mlheh Njf, Mohmmd Njf Deprme

More information

Representation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients

Representation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients Repor Nuber: KSU MATH 3 E R 6 Represeo o Souos o Ler Hoogeeous puo Fro ere Equos w ouous Vrbe oees Su-Ae PAK Mog-H KM d Hog-o O * Fu o Mes K Sug Uvers Pogg P R Kore * orrespodg uor e: oogo@ooo Absr We

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More information

Reliability Analysis. Basic Reliability Measures

Reliability Analysis. Basic Reliability Measures elably /6/ elably Aaly Perae faul Πelably decay Teporary faul ΠOfe Seady ae characerzao Deg faul Πelably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:

More information

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling I.J.Curr.crobol.App.Sc (08) 7(): 808-85 Ieraoal Joural of Curre crobolog ad Appled Scece ISS: 39-7706 olue 7 uber 0 (08) Joural hoepage: hp://www.jca.co Orgal Reearch Arcle hp://do.org/0.0546/jca.08.70.9

More information

KINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS

KINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS KINEMTICS OF RIGID ODIES RELTIVE VELOCITY RELTIVE CCELERTION PROLEMS 1. The crculr dsk rolls o he lef whou slppg. If.7 m s deerme he eloc d ccelero of he ceer O of he dsk. (516) .7 m s O? O? . The ed rollers

More information

Level of Service Snow and Ice Control operations are intended to provide a reasonably safe traveling surface, not bare or dry pavement.

Level of Service Snow and Ice Control operations are intended to provide a reasonably safe traveling surface, not bare or dry pavement. C f v Sw Ic C P Ju 2017 Iuc I g f C f v v, ffc c-ffcv w c, w v c c ww C f v. T vc v f f bf f C ubc vg w c. T u f Sw Ic C P cb C w v g, g cu v f vc g. u w vb Og w, c / w v qu ff ff ub f c, wc, v w c, w

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL. E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R

More information