A General Lagrangian Approach to Simulate Pollutant Dispersion in Atmosphere for Low-wind Condition

Size: px
Start display at page:

Download "A General Lagrangian Approach to Simulate Pollutant Dispersion in Atmosphere for Low-wind Condition"

Transcription

1 Amercan Journal of Envronmenal Engneerng 213, 3(1: 8-12 DOI: /j.ajee A General Lagrangan Approach o Smulae Polluan Dsperson n Amosphere for Low-wnd Condon Jonas C. Carvalho 1,*, Marco T. M. B. Vlhena 2, Gerváso A. Degraza 3, Marel Salle 1 1 Unversdade Federal de Peloas, Pós-Graduação em Meeorologa, Peloas, RS, Brazl 2 Unversdade Federal do Ro Gre do Sul, Pós-Graduação em Eng. Mecânca, Poro Alegre, RS, Brazl 3 Unversdade Federal de Sana Mara, Pós-Graduação em Meeorologa, Sana Mara, RS, Brazl Absrac In hs work we presen a sem-analycal Lagrangan parcle model o smulae he polluan dsperson durng low wnd speed condons. The model s based on a mehodology, whch solves he Langevn equaon hrough he assumpon ha coeffcen of he negrang facor s a complex funcon. The mehod leads o a non-lnear sochasc negral equaon, whch s solved by he Mehod of Successve Approxmaons or Pcard s Ierave Mehod. Takng no accoun he somorphsm beween he complex real plane by wrng down he low wnd formulaon n polar form, he procedure allow o deermne a formula for he low wnd drecon. Furhermore, an expresson analogous o he Euleran auocorrelaon funcon suggesed by Frenkel[1] appears n he real componen soluon. The model resuls presen an mprovemen n relaon o he oher models are shown o agree very well wh he feld racer daa colleced durng sable condons a Idaho Naonal Engneerng Laboraory (INEL. Keywords Low Wnd Speed Condon, Ar Polluon Modellng, Lagrangan Parcle Model, Pcard Ierave Mehod, Auocorrelaon Funcon, Model Evaluaon 1. Inroducon Recen years have been seen he flowerng of he work of searchng analycal soluon for he Langevn equaon wh he man purpose of smulang polluan dsperson n he amosphere. The meanng of analycy reles on he fac ha no approxmaon s made n he dervaves or doman dscrezaon along he soluon dervaon. In hs drecon, appeared n he leraure he works of Carvalho e al.[2-3], whch solves he Langevn equaon by he followng seps: lnearzaon of he Langevn equaon soluon of he resulan sochasc negral equaon by he Pcard erave scheme. Ths procedure leads o an analycal soluon n each erave sep. Carvalho Vlhena[4] solved by hs mehodology he Langevn equaon for low wnd speed condon. In order o model he polluan dsperson durng meerng effec n he soluon, he auhors made he assumpon ha he coeffcen of he negrang facor of he frs order lnear dfferenal equaon s a complex funcon, he magnary componen models he low wnd condon. Furhermore, he auhors consdered only he real componen of he negrang facor. A hs pon, s relevan o menon ha * Correspondng auhor: jonas.carvalho@ufpel.edu.br (Jonas C. Carvalho Publshed onlne a hp://journal.sapub.org/ajee Copyrgh 213 Scenfc & Academc Publshng. All Rghs Reserved by hs procedure, he Frenkel[1] auocorrelaon funcon naurally appears n he soluon. In hs work we oban a more general model, unlke he work of Carvalho Vlhena[4], consderng he real magnary pars of he complex funcon before performng he mu lp lcaon of he negrang facor, expressed by he Euler formula, nsde ousde of he negral soluon. Takng no accoun he somorphsm beween he complex real plane by wrng down he low wnd formulaon n polar form, he procedure allow o deermne a formula for he low wnd drecon. Furhermore, an expresson analogous o he Euleran auocorrelaon funcon suggesed by Frenkel[1] appears n he real componen soluon. Fnally, s necessary o menon ha when he non-dmensonal quany ha conrols he meerng oscllaon frequency goes o zero hs soluon reduces o he soluons encounered by Carvalho e al.[2-3] for wndy condon. The low wnd speed daa colleced durng sable condons a Idaho Naonal Engneerng Laboraory (INEL[5] has been used o evaluae he new model. The paper s oulned as follows: n secon wo he model s presened, n secon hree he modellng resuls are dscussed n secon four he conclusons. 2. The Low Wnd Model The approach consss n he lnearzaon of he Langevn equaon as sochasc dfferenal equaon:

2 Amercan Journal of Envronmenal Engneerng 213, 3(1: du + f ( U = g(, (1 d whch has he well known soluon n erms of he negrang facor: U = f ( d 1 ( g e d. f ( d (2 e In order o embody he low wnd speed condon n he Langevn equaon, s assumed ha U f ( are complex funcons wren as: U = u + v (3 f = p +, (4 ( q where u v are he real magnary pars of U, respecvely, p q are he real magnary pars of f (, respecvely. Therefore, he exponenals appearng n Equaon (2 reads lke: f ( d. (5 p q e = e + Applyng he Euler formula, Equaon (2 becomes: p U = e cos( q + sn( q u + v + g [ ][ ( ( ] p e [ cos( q sn( q ] 1 ( d p. (6 e [cos( q sn( q ] Mulplyng he Equaon (6 by he complex conjugae performng he mulplcaons, we can oban p p ( ( [ cos( sn( ] ( ( U = e q + q u + v + { cos ( sn ( } g e q q d Consderng = τ, we can wre he Equaon (7 as p U = e [ cos( q + sn( q ] u ( + v( +. (8 pτ g ( e cos ( qτ sn ( qτ d In order o deermne he wnd drecon we cas equaon (8 no: U = e e p p cos( q u sn( q v [ ] pτ ( + g( e cos( qτ [ ] d pτ ( g( e sn( qτ d + (7, (9 where by comparson wh Equaon (3 we have p [ ] d pτ ( + g( e cos( qτ u = e cos( q u (1a p [ ] d pτ ( g( e sn( qτ v = e sn( q v. (1b Bearng n mnd he somorphsm beween he complex real planes, he low wnd expresson gven by Equaon (9 s descrbed n he complex plane. Ths procedure allows as deermnng he low wnd drecon, usng polar form. For hs end, we rewre Equaon (9 lke 2 θ = u 2 + v e, (11 U where θ s he low wnd drecon relave he x-axs v θ = arcan (12 u Noe ha he real componen of he Equaon (9, pτ e cos( qτ s analogous o he Euleran auocorrelaon funcon suggesed by Frenkel[1] (p. 8 wren n a dfferen way by Murgaroyd[6]. Therefore, p q are gven by 1 m p = q = ( m T ( m T where T s he me scale for a fully developed urbulence m s a non-dmensonal quany ha conrols he meerng oscllaon frequency. A hs pon, s mporan o menon ha when m goes o zero he Equaon (9 reduces o he soluon for wndy condons, whch s wren n erms of he exponenal form of he auocorrelaon funcon. The Equaon (9 s a non-lnear sochasc negral equaon, whch mus be solved eravely. The mehod appled o solve he Equaon (9 s he Mehod of Successve Approxmaons or Pcard s Ieraon Mehod[7], assumng ha he nal guess for he erave approxmaon s deermned from a Gaussan dsrbuon. For applcaons, he values for he parameers m T have been calculaed accordng o Carvalho e al.[8]: * + * 16π T T T m = (13 4πT T =, (14 u* where h s he sable PBL hegh, u * s he frcon velocy T* 2s. As he urbulence s consdered Gaussan n he horzonal drecon, he funcon g ( can be gven by:.64 h

3 1 Jonas C. Carvalho e al.: A General Lagrangan Approach o Smulae Polluan Dsperson n Amosphere for Low-wnd Condon σ u σ 2σ g( = + + ξ ( 2 2 x j 2σ x, (15 j τ L 2 where σ s he urbulen velocy varance, τ L s he Lagrangan me scale ξ s a normally dsrbued (average varance d rom ncremen. For he vercal componen, we solve he Langevn equaon by he ILS approach as suggesed by Carvalho e al.[4]. 3. Modellng Resuls The daa ulzed o evaluae he model performance are composed by a seres of feld expermens conduced under sable condons n low wnds over fla erran. The racer daa were colleced a Idaho Naonal Engneerng Laboraory (INEL he resuls are publshed n a U.S. Naonal Oceanc Amospherc Admnsraon (NOAA repor[5]. For he smulaons, he urbulen flow s assumed nhomogeneous only n he vercal he ranspor s realzed by he longudnal componen of he mean wnd velocy. The horzonal doman was deermned accordng o sampler dsances he vercal doman was se equal o he observed PBL hegh. The me sep was mananed consan was obaned accordng o he value of he Lagrangan decorrelaon me scale ( = τ L / c, where τ L mus be he smaller value beween τ L (wh = 1,2, 3 c s an emprcal coeffcen se equal o 1. The values of σ τ L were parameerzed accordng o scheme developed by Degraza e al.[9]. The negraon mehod used o solve he negrals appearng n Equaon (1 was he Romberg echnque. Because of wnd drecon varably durng he INEL expermen, a full 36 o samplng grd was mplemened. Arcs were lad ou a rad of 1, 2 4 m from he emsson pon. Samplers were placed a nervals of 6 o on each arc for a oal of 18 samplng posons. The recepor hegh was.76 m. The racer SF 6 was released a a hegh of 1.5 m. The 1 h average concenraons were deermned by means of an elecron capure gas chromaography. Wnd measuremens were provded by lghwegh cup anemomeers bvanes a he 2, 4, 8, 16, m levels of he 61-m ower locaed on he 2 m arc. Table 1 shows he meeorologcal daa ulzed for he valdaon of he proposed model. Observed wnd speeds were used o calculae he coeffcens for he exponenal wnd profles. The Monn-Obukhov lengh L he frcon velocy u * were approxmaed hrough he numercal bes f beween he observed wnd speeds calculaed wnd profle suggesed by Busnger e al.[1]. To calculae h (he sable PBL hegh, he relaon h=.4( ul 1/2 * fc was used[11], where f c s he Corols parameer. The model performance s shown n Tables 1 2 Fgures 1. Table 1 shows he comparson beween observed predced ground-level cenerlne concenraons. Table 2 presens he resul of he sascal analyss made wh observed predced values of ground-level cenerlne concenraon followng Hanna s[12] sascal ndces. Gvng a look a he resuls we observe ha he model smulaes que well he expermenal daa n sable condon, ndeed, presens resuls comparable or even beer han ones obaned by Carvalho Vlhena[4] Carvalho e al.[8]. The sascal analyss reveals ha all ndces are whn accepable ranges, wh NMSE, FB FS values are relavely near o zero R FA2 are relavely near o 1. Table 1. Observed predced ground-level cenerlne concen ra ons run dsance (m observed (µ predced (µ gm -3 gm Table 2. S a s cal evalua on Model NMSE R FA2 FB FS Proposed Model Carvalho Vlhena[4] Carvalho e al.[8]

4 Amercan Journal of Envronmenal Engneerng 213, 3(1: F gure 1. Sca er dagram be ween observed (C o predced (C p ground-level cenerlne concenraon. Dashed lnes ndcae facor of 2, doed lnes ndcaed facor of 3 sold lne ndcaes unbased predcon 4. Conclusons In hs paper was presened a more general model o smulae he polluan dsperson n meerng low wnd condons. The model was obaned by solvng he Langevn equaon hrough he negrang facor wh s coeffcen beng a complex funcon. The mehod leads o a sochasc negral equaon whose soluon was obaned hrough he Mehod of Successve Approxmaons or Pcard s Ieraon Mehod. Takng no accoun he somorphsm beween he complex real plane by wrng down he low wnd formulaon n polar form, was possble o deermne a formula for he low wnd drecon. An expresson analogous o he Euleran auocorrelaon funcon for meerng condons appeared n he real componen soluon. The proposed mehod can be used o smulae de conamnan dsperson n meerng or non-meerng suaons. The model was evaluaed hrough he comparson wh expermenal daa. The resuls obaned by he new model agree very well wh he expermenal daa, ndcang ha represens he dsperson process correcly n low wnd speed condons. ACKNOWLEDGEMENTS The auhors acknowledge he fnancal suppor provded by CNPq. (Conselho Naconal de Desenvolvmeno Cenífco e Tecnológco CAPES (Coordenação de Aperfeçoameno de Pessoal de Nível Superor. [1] Franços N. Frenkel, "Turbulen dffuson: Mean concenraon dsrbuon n a flow feld of homogeneous urbulence", Advances n Appled Mechancs, vol.3, pp.61-17, [2] Jonas C. Carvalho, Ézo R. Nchmura, Marco T. M. B. Vlhena, Davdson M. Morera, Gerváso A. Degraza, "An erave langevn soluon for conamnan dsperson smulaon usng he Gram-Charler PDF", Envronmenal Modellng Sofware, vol.2, no 3, pp , 25. [3] Jonas C. Carvalho, Marco T. M. B. Vlhena Davdson M. Morera, "An alernave numercal approach o solve he Langevn equaon appled o ar polluon dsperson", Waer, Ar Sol Polluon, vol.163, no 1-4, pp , 25. [4] Jonas C. Carvalho, Marco T. M. B. Vlhena, "Polluan dsperson smulaon for low wnd speed condon by he ILS mehod", Amospherc Envronmen, vol.39, pp , 25. [5] Jerrold F. Sagendorf, C. Ray Dckson, "Dffuson under low wnd-speed, nverson condons", U.S. Naonal Oceanc Amospherc Admnsraon Tech. Memorum ERL ARL-52, [6] R. J. Murgaroyd, Esmaons from geosrophc rajecores of horzonal dffusvy n he md-laude roposphere lower sraosphere, Quarerly Journal of he Royal M eeorologcal Socey, vol.95, pp.4-62, [7] W. Boyce, R. DPrma, 21. Elemenary dfferenal equaons boundary value problems, Wley, New York, 749 pp, 21. [8] Jonas C. Carvalho, Gerváso A. Degraza, Sérgo G. Magalhães, "Parameerzaon of meerng phenomenon n a sable amospherc boundary layer", Physca A, vol.368, pp , 26. REFERENCES [9] Gerváso A. Degraza, Osvaldo L. L. Moraes, Amaur P. Olvera, "An Analycal mehod o evaluae mxng lengh scales for he planeary boundary layer", Journal of Appled

5 12 Jonas C. Carvalho e al.: A General Lagrangan Approach o Smulae Polluan Dsperson n Amosphere for Low-wnd Condon Meeorology, vol.35, pp , [1] J. A. Busnger, Turbulen ransfer n he amospherc surface layer. In D.A. Haugen (Ed., Workshop n Mcromeeorology, Amercan Meeorologcal Socey, Boson, pp.67-1, 1973 [11] Serge S. Zlnkevh, On he deermnaon of he hegh of he Ekman boundary layer. Boundary-Layer Meeorology vol.3, pp , [12] Seven R. Hanna, "Confdence lm for ar qualy models as esmaed by boosrap jacknfe resamplng mehods", Amospherc Envronmen, vol.23, pp , 1989.

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

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

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Solution in semi infinite diffusion couples (error function analysis)

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

More information

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles World Academy of Scence, Engneerng and Technology 67 01 Numercal Smulaon of he Dsperson of a Plume of Exhaus Gases from Desel and Perol Engne Vehcles H. ZAHLOUL, and M. MERIEM-BENZIANE Absrac The obecve

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

FTCS Solution to the Heat Equation

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

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

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

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

More information

EVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL

EVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL The Sevenh Asa-Pacfc Conference on Wnd Engneerng, November 8-, 009, Tape, Tawan EVALUATION OF FORCE COEFFICIENTS FOR A -D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL S. Chra Ganapah, P. Harkrshna,

More information

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

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

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

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

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

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

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

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

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

More information

A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE

A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE S13 A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE by Hossen JAFARI a,b, Haleh TAJADODI c, and Sarah Jane JOHNSTON a a Deparen of Maheacal Scences, Unversy

More information

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

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

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

Research Article Numerical Approximation of Higher-Order Solutions of the Quadratic Nonlinear Stochastic Oscillatory Equation Using WHEP Technique

Research Article Numerical Approximation of Higher-Order Solutions of the Quadratic Nonlinear Stochastic Oscillatory Equation Using WHEP Technique Hndaw Publshng Corporaon Journal of Appled Mahemacs Volume 3, Arcle ID 68537, pages hp://dx.do.org/.55/3/68537 Research Arcle Numercal Approxmaon of Hgher-Order Soluons of he Quadrac Nonlnear Sochasc Oscllaory

More information

Robustness of DEWMA versus EWMA Control Charts to Non-Normal Processes

Robustness of DEWMA versus EWMA Control Charts to Non-Normal Processes Journal of Modern Appled Sascal Mehods Volume Issue Arcle 8 5--3 Robusness of D versus Conrol Chars o Non- Processes Saad Saeed Alkahan Performance Measuremen Cener of Governmen Agences, Insue of Publc

More information

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth Should Exac Index umbers have Sandard Errors? Theory and Applcaon o Asan Growh Rober C. Feensra Marshall B. Rensdorf ovember 003 Proof of Proposon APPEDIX () Frs, we wll derve he convenonal Sao-Vara prce

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

Analysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach

Analysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach 1 Appeared n Proceedng of he 62 h Annual Sesson of he SLAAS (2006) pp 96. Analyss And Evaluaon of Economerc Tme Seres Models: Dynamc Transfer Funcon Approach T.M.J.A.COORAY Deparmen of Mahemacs Unversy

More information

Supplementary Material to: IMU Preintegration on Manifold for E cient Visual-Inertial Maximum-a-Posteriori Estimation

Supplementary Material to: IMU Preintegration on Manifold for E cient Visual-Inertial Maximum-a-Posteriori Estimation Supplemenary Maeral o: IMU Prenegraon on Manfold for E cen Vsual-Ineral Maxmum-a-Poseror Esmaon echncal Repor G-IRIM-CP&R-05-00 Chrsan Forser, Luca Carlone, Fran Dellaer, and Davde Scaramuzza May 0, 05

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

Department of Economics University of Toronto

Department of Economics University of Toronto Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of

More information

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

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

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

Nonequilibrium models for a multi component reactive distillation column

Nonequilibrium models for a multi component reactive distillation column onequlbrum models for a mul componen reacve dsllaon column D. ROUZIEAU, M. PREVOST, M. MEYER IP/E..S.I.G.C LGC Equpe Séparaon Gaz Lqude 8 Chemn de la Loge, 3078 Toulouse Cedex 4, France Absrac A nonequlbrum

More information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) 5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Comparison of Supervised & Unsupervised Learning in βs Estimation between Stocks and the S&P500

Comparison of Supervised & Unsupervised Learning in βs Estimation between Stocks and the S&P500 Comparson of Supervsed & Unsupervsed Learnng n βs Esmaon beween Socks and he S&P500 J. We, Y. Hassd, J. Edery, A. Becker, Sanford Unversy T I. INTRODUCTION HE goal of our proec s o analyze he relaonshps

More information

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs. Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

The JCSS Probabilistic Model Code for Timber Examples and Discussion

The JCSS Probabilistic Model Code for Timber Examples and Discussion The JCSS Probablsc Model Code for Tmber Examples and Dscusson Jochen Köhler Research Assocae Mchael Faber Professor Insue of Srucural Engneerng Swss Federal Insue of Technology Zurch, Swzerland 1. Inroducon

More information

Optimal environmental charges under imperfect compliance

Optimal environmental charges under imperfect compliance ISSN 1 746-7233, England, UK World Journal of Modellng and Smulaon Vol. 4 (28) No. 2, pp. 131-139 Opmal envronmenal charges under mperfec complance Dajn Lu 1, Ya Wang 2 Tazhou Insue of Scence and Technology,

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

A Simulation Based Optimal Control System For Water Resources

A Simulation Based Optimal Control System For Water Resources Cy Unversy of New York (CUNY) CUNY Academc Works Inernaonal Conference on Hydronformacs 8--4 A Smulaon Based Opmal Conrol Sysem For Waer Resources Aser acasa Maro Morales-Hernández Plar Brufau Plar García-Navarro

More information

Transient Numerical of Piston Wind in Subway Station. Haitao Bao

Transient Numerical of Piston Wind in Subway Station. Haitao Bao Appled Mechancs and Maerals Submed: 2014-07-20 ISSN: 1662-7482, Vols. 644-650, pp 467-470 Acceped: 2014-07-21 do:10.4028/www.scenfc.ne/amm.644-650.467 Onlne: 2014-09-22 2014 Trans Tech Publcaons, Swzerland

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

Use of Kalman Filtering and Particle Filtering in a Benzene Leachate Transport Model

Use of Kalman Filtering and Particle Filtering in a Benzene Leachate Transport Model Sudy of Cvl Engneerng and Archecure (SCEA Volume Issue 3, Sepember 03 www.sepub.org/scea Use of Kalman Flerng and Parcle Flerng n a Benzene Leachae Transpor Model Shoou-Yuh Chang, and Skdar Laf * Dep.

More information

3. OVERVIEW OF NUMERICAL METHODS

3. OVERVIEW OF NUMERICAL METHODS 3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,

More information

Modern Time-Rate Relations

Modern Time-Rate Relations Modern Tme-Rae Relaons Slde 1 Orenaon Tme-Rae Relaons: New me-rae relaons whch ulze he followng componens: Hyperbolc and modfed-hyperbolc relaons, Power-law/sreched exponenal relaons, and Exponenal relaons

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

2/20/2013. EE 101 Midterm 2 Review

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

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

Additive Outliers (AO) and Innovative Outliers (IO) in GARCH (1, 1) Processes

Additive Outliers (AO) and Innovative Outliers (IO) in GARCH (1, 1) Processes Addve Oulers (AO) and Innovave Oulers (IO) n GARCH (, ) Processes MOHAMMAD SAID ZAINOL, SITI MERIAM ZAHARI, KAMARULZAMMAN IBRAHIM AZAMI ZAHARIM, K. SOPIAN Cener of Sudes for Decson Scences, FSKM, Unvers

More information

Bayesian Inference of the GARCH model with Rational Errors

Bayesian Inference of the GARCH model with Rational Errors 0 Inernaonal Conference on Economcs, Busness and Markeng Managemen IPEDR vol.9 (0) (0) IACSIT Press, Sngapore Bayesan Inference of he GARCH model wh Raonal Errors Tesuya Takash + and Tng Tng Chen Hroshma

More information

Gear System Time-varying Reliability Analysis Based on Elastomer Dynamics

Gear System Time-varying Reliability Analysis Based on Elastomer Dynamics A publcaon of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 013 Gues Edors: Enrco Zo, Pero Barald Copyrgh 013, AIDIC Servz S.r.l., ISBN 978-88-95608-4-; ISSN 1974-9791 The Ialan Assocaon of Chemcal Engneerng

More information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns

More information

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations Chaper 6: Ordnary Leas Squares Esmaon Procedure he Properes Chaper 6 Oulne Cln s Assgnmen: Assess he Effec of Sudyng on Quz Scores Revew o Regresson Model o Ordnary Leas Squares () Esmaon Procedure o he

More information

Chapter 2 Linear dynamic analysis of a structural system

Chapter 2 Linear dynamic analysis of a structural system Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads

More information

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times Reacve Mehods o Solve he Berh AllocaonProblem wh Sochasc Arrval and Handlng Tmes Nsh Umang* Mchel Berlare* * TRANSP-OR, Ecole Polyechnque Fédérale de Lausanne Frs Workshop on Large Scale Opmzaon November

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

NUMERICAL AND VOLUMETRIC FREQUENCY OF SPRINKLER DROP-SIZE FROM WATER DISTRIBUTION RADIAL CURVE PART I: MATHEMATICAL MODELLING

NUMERICAL AND VOLUMETRIC FREQUENCY OF SPRINKLER DROP-SIZE FROM WATER DISTRIBUTION RADIAL CURVE PART I: MATHEMATICAL MODELLING NUMERICAL AND VOLUMETRIC FREQUENCY OF SPRINKLER DROP-SIZE FROM WATER DISTRIBUTION RADIAL CURVE PART I: MATHEMATICAL MODELLING Frso D. and Boroln L. Deparmen of Land, Envronmen, Agrculure and Foresry, TESAF,

More information

Partial Availability and RGBI Methods to Improve System Performance in Different Interval of Time: The Drill Facility System Case Study

Partial Availability and RGBI Methods to Improve System Performance in Different Interval of Time: The Drill Facility System Case Study Open Journal of Modellng and Smulaon, 204, 2, 44-53 Publshed Onlne Ocober 204 n ScRes. hp://www.scrp.org/journal/ojms hp://dx.do.org/0.4236/ojms.204.2406 Paral Avalably and RGBI Mehods o Improve Sysem

More information

ISSN MIT Publications

ISSN MIT Publications MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal

More information

Kernel-Based Bayesian Filtering for Object Tracking

Kernel-Based Bayesian Filtering for Object Tracking Kernel-Based Bayesan Flerng for Objec Trackng Bohyung Han Yng Zhu Dorn Comancu Larry Davs Dep. of Compuer Scence Real-Tme Vson and Modelng Inegraed Daa and Sysems Unversy of Maryland Semens Corporae Research

More information

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems Genec Algorhm n Parameer Esmaon of Nonlnear Dynamc Sysems E. Paeraks manos@egnaa.ee.auh.gr V. Perds perds@vergna.eng.auh.gr Ah. ehagas kehagas@egnaa.ee.auh.gr hp://skron.conrol.ee.auh.gr/kehagas/ndex.hm

More information

Fall 2010 Graduate Course on Dynamic Learning

Fall 2010 Graduate Course on Dynamic Learning Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/

More information

Effect of Terrain on Mass and Heat Transport of Smoke Plume Based on Geometric Properties of Digital Elevation Model and Satellite Imagery

Effect of Terrain on Mass and Heat Transport of Smoke Plume Based on Geometric Properties of Digital Elevation Model and Satellite Imagery Amercan Journal of Geographc Informaon Ssem 013, (4): 67-81 DOI: 10.593/j.ajgs.013004.01 Effec of Terran on Mass and Hea Transpor of Smoke Plume Based on Geomerc Properes of Dgal Elevaon Model and Saelle

More information