Prediction of Wing Downwash Using CFD

Size: px
Start display at page:

Download "Prediction of Wing Downwash Using CFD"

Transcription

1 Predcon of Wng Downwash Usng CFD Mohammed MAHDI* *Correspondng ahor Aeronacal Research Cener-Sdan P.O. Bo 334 DOI:.3/ rd Inernaonal Worshop on Nmercal Modellng n Aerospace Scences NMAS May 5 Bchares Romana (held a INCAS B-dl Il Man secor 6) Secon 5 New conceps n UAV sysems Absrac: Wng downwash sdy and esmaon of downwash effec on he al plane s an mporan as drng he arcraf desgn process alhogh a lo of papers and wors has been done b he epermenal wor s he mos mporan he progress n CFD smlaon has reached o he pon s able o redce he nmber of rns n he wnd nnel. In hs wor CFD has been lzed o calclae he downwash angle and downwash graden wh respec o he angle of aac over a hgh aspec rao of a ypcal UAV. The resls of he smlaon shall be sed n he esmaon and calclaon of he longdnal sac sably analyss of he UAV. Key Words: wng downwash CFD sac longdnal Sably UAV. INTRODUCTION Downwash s he ar forced down by he aerodynamc acon of wng or helcoper roor blade n moon as par of he process of prodcng lf (Wpeda []). Several sdes o analyze he behavor of wng downwash have been made. Jrovch [] has appled he CFD approach o he predcon of he downwash flowfeld behnd a KC-35 aner. The resls show he crcaly of caprng he ralng vore behnd he wng sng a fne mesh o no he far feld. The resls are compared o he heory vore lace resls and wnd nnel daa. Whle nmercal dsspaon s evden n he premare spreadng of he vore core hs does no affec he downwash flowfeld whch s he crcal facor n aeral refelng. Eler solons wh properly appled grddng are shown o be sffcen for caprng he aner flowfeld for aeral refelng needs. Anad & Kam 4 [3] have sded he aerodynamcs performance of wng canard confgraon sng he CFD analyss and hey smlaed he flow pah lnes and parcles flow feld over he canard-wng confgraon o esmae he bes vercal posonng of he canard wh respec o he wng. In or wor we wll sdy he flow feld properes of a ypcal UAV hgh aspec rao wng; he wng dmensons are ablaed n able. Table wng dmensons of ypcal UAV Wng Area. m Wng span 5. M Roo chord. M Tp chord.47 M Wng arfol E 396 INCAS BULLETIN Volme 7 Isse / 5 pp. 5 ISSN 66 8

2 Mohammed MAHDI 6 INCAS BULLETIN Volme 7 Isse / 5. NUMERICAL MODELING The flow feld s solved sng ncompressble Naver Soes Eqaon for he wng and whole arcraf analyss. The mass conservaon law and he energy eqaon are solved wh he Naver-Soes eqaons; he K-omega SST rblence model was sed o predc he drag accraely. For analyzng he sded wng he flow s assmed o be ncompressble de o he mamm speed s 5(m/s). So only Naver soes eqaons wh he K-Omega and conny eqaon are solved smlaneosly (Chng [4]). Mass conservaon law: () Naver-Soes Eqaons: These eqaons were employed n he followng form []: z T y S R z G y F E q () where w v q w v p E vw p v v v F p w vw w w G z z R yz yy y S zz zy z T Selecon of rblence model depends on he ype of grd.e. srcre or nsrcred grd. Accordngly for he presen smlaon K-omega SST rblen model was sed for he prpose of rblence closre. Ths model has wde spread poplary among he CFD researchers. For more nformaon abo hs model see Mener 994 [5]. He saes ha hs model s more accrae han -epslon especally near wall layers and for flows wh moderae adverse pressre gradens. He developed he SST scheme for aerospace applcaons as follows. P * (3) P (4) And snce he flow s seady ncompressble he above eqaon becomes smpler. Defnon of he eddy-vscosy:

3 7 Predcon of Wng Downwash Usng CFD Trblen sress ensor s gven by: The shear sress s calclaed as follows: (5) 3 (6) a (7) Wh he consan a =.3. On he oher hand n wo-eqaon models he shear-sress s comped from (8) The rblence nensy I s defned as he rao of he roo-mean-sqare of he velocy flcaons o he mean flow velocy avg. A rblence nensy of % or less s generally consdered low and rblence nenses hgher han % are consdered hgh. The rblence nensy n he free sream s sally avalable from he nnel characerscs. In modern low-rblence wnd nnels he free-sream rblence nensy may be as low as.5%. n hs wor he rblence nensy assmed.%. The rblen vscosy rao / s drecly proporonal o he rblen Reynolds nmber ( Re /( v) ). Re s large (on he order of o ) n hgh-reynolds-nmber bondary layers shear layers and flly-developed dc flows. However a he free-sream bondares of mos eernal flows / s farly small. Typcally he rblence parameers are se so ha / Bondary Layer Consderaon: Bondary layer s calclaed based on Reynolds nmber; he followng epresson defnes he Reynolds No. V C Re (9) Accordng o Anderson [6] he bondary layer hcness s gven by:.37 () Re / 5 Grd Generaon. Fgre () shows he srfaces mesh of wng; a fne mesh s focsed near a/c srface o smooh srfaces as well as consderng he bondary layer effec he nerval sze of he elemen s almos.5 (mm) whch s creaed nsde ANSYS worbench. Unsrcred grd wh rangles and erahedral n he srface and volme meshes appromaely mllon cells s creaed n he compaonal doman of he wng. INCAS BULLETIN Volme 7 Isse / 5

4 Mohammed MAHDI 8 Downwash Fgre wng mesh and bondary layer s clear Downwash s he ar forced down by he aerodynamc acon of a wng or helcoper roor blade n moon as par of he process of prodcng lf an arcraf prodces aerodynamc lf by deflecng ar downwards as downwash. As shown n fgre downwash generaes an eqal and oppose pwards force on he wng called lf. When he downwash force eceeds he wegh of he arcraf he arcraf wll rse snce here s a consderable pressre dfference beween he lower and pper srfaces of a wng; p vorces are prodced a he wngps [4]. Fgre Downwash Defnon The downwash s esmaed from he CFD ha rae lne s consrced along he aerodynamcs as of he HT and hen he downwash effec on he al s ploed vs. HT sem span. Accordng o Bo-Savar law he vore wll ndce downwash de o ndced velocy and gven by w w arcan () V V So; he wng downwash cold be calclaed from he formla: VZ cos V sn an () V INCAS BULLETIN Volme 7 Isse / 5

5 9 Predcon of Wng Downwash Usng CFD Resls Fgre 3 shows he flow pah lnes colored by velocy magnde a α=; he flow s aached o he pper srface and no vore s capred n he pper srface he wng p vorces s wea and a lle ws observed n he flow a he p. Fgre 3 Flow Pahlnes colored by velocy magnde a α = Fgre 4 shows he flow pah lnes over he pper srface of he wng a α = 6. Ths fgre ndcaes an esence of vore on pper srface and p vorces. The vorces zones are capred by he pencl and zoomed as shown n Fgre 4 Ths fgre reveals ha he separaon occrs near wng roo frs and sars o eend span-wsely by ncreasng he angle of aac. De o vorces near he wng roo ralng edge s predced ha he wng flap may no be effecve a α > deg. Wng p vorces also have hgh nec energy o swrl and roae whch ncrease he ndced drag as a resl; hese p vorces wll hen roll p and ge arond he local edges of a wng. Ths phenomenon wll redce he lf a he wngp saon so hey can be represened as a redcon n effecve wng span. Fgre 4 Flow vecors colored by velocy magnde a α= INCAS BULLETIN Volme 7 Isse / 5

6 Mohammed MAHDI Downwash effec on Vee al a α= s shown n Fgre 5 Fgre 5 Downwash dsrbon along Vee al qarer chord A lne s consrced along he qarer chord lne of Vee al and he downwash has been ploed along hs lne as shown n fgre 5. From hs fgre s shown ha a = he downwash s eqal.36 rad whch s eqal degree. So deg. From fgre 6 So So deg 3.86deg.3. Fgre 6 Downwash dsrbon α=6 3. CONCLUSION From he resls obaned he downwash has been calclaed effcenly sng ANSYS worbench and hs shall be sed n he developmen of he longdnal sably analyss as drng he desgn process of he UAV. The CFD shows also he flow pahlnes arond he vehcles and sall paern has been fgred o. INCAS BULLETIN Volme 7 Isse / 5

7 Predcon of Wng Downwash Usng CFD ACKNOWLEDGEMENT Ths wor s he properes of ARC; ARC s he fndng organzaon of hs wor. REFERENCES [] * * * Wpeda 5 Aprl 5. [Onlne]. Avalable: hp://en.wpeda.org/w/downwash. [] M. S. Jrovch CFD Predcon of he Flow feld behnd he KC-35R Taner 9h AIAA Appled Aerodynamcs Conference 7-3 Jne Honoll Hawa AIAA -35. [3] D. R. Anand and P. S. Kam Aerodynamcs Performance of Canard-WIng Confgraon-A CFD Sdy Bangalore 4. [4] T. J. Chng Compaonal Fld Dynamcs nd Edon ed. Cambrdge: Cambrdge Unversy Press ISBN hardbac. [5] F. R. Mener Two-Eqaon Eddy-Vscosy Trblence Models for Engneerng Applcaons AIAA vol. 3 pp [6] J. D. Anderson Fndamenals of Aerodynamcs 5h Edon ed. ISBN-: New Yor: McGraw Hll. INCAS BULLETIN Volme 7 Isse / 5

OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR

OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR Jornal of KONES Powerran and Transpor, Vol. 17, No. 010 OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR Andre Kovalí, Eml Toporcer Unversy of Žlna, Facly of Mechancal Engneerng Deparmen of Aomove Technology

More information

Turbulence Modelling (CFD course)

Turbulence Modelling (CFD course) Trblence Modellng (CFD corse) Sławomr Kbac slawomr.bac@mel.pw.ed.pl 14.11.016 Copyrgh 016, Sławomr Kbac Trblence Modellng Sławomr Kbac Conens 1. Reynolds-averaged Naver-Soes eqaons... 3. Closre of he modelled

More information

Outline. Review Solution Approaches. Review Basic Equations. Nature of Turbulence. Review Fluent Exercise. Turbulence Models

Outline. Review Solution Approaches. Review Basic Equations. Nature of Turbulence. Review Fluent Exercise. Turbulence Models Trblence Models Larry areo Mechancal Engneerng 69 ompaonal Fld Dynamcs Febrary, Olne Revew las lecre Nare of rblence Reynolds-average Naver-Soes (RNS) Mng lengh heory Models sng one dfferenal eqaon Two-eqaon

More information

Calculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation

Calculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation Ressance s obaned from he sm of he frcon and pressre ressance arables o deermne: - eloc ecor, (3) = (,, ) = (,, ) - Pressre, p () ( - Dens, ρ, s defned b he eqaon of sae Ressance and Proplson Lecre 0 4

More information

ON THE ACCURACY OF NUMERICAL PREDICTION IN TRANSONIC-SUPERSONIC FLOW ARROUND MISSILES

ON THE ACCURACY OF NUMERICAL PREDICTION IN TRANSONIC-SUPERSONIC FLOW ARROUND MISSILES U.P.B. Sc. Bll., Seres D, Vol. 7, Iss. 3, ISSN 454-358 ON THE ACCURACY OF NUMERICAL PREDICTION IN TRANSONIC-SUPERSONIC FLOW ARROUND MISSILES Crsna MIHAILESCU, Teodor Vorel CHELARU, Seran DANAILA 3, Cornel

More information

CONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS

CONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen

More information

VI. Computational Fluid Dynamics 1. Examples of numerical simulation

VI. Computational Fluid Dynamics 1. Examples of numerical simulation VI. Comaonal Fld Dnamcs 1. Eamles of nmercal smlaon Eermenal Fas Breeder Reacor, JOYO, wh rmar of coolan sodm. Uer nner srcre Uer lenm Flow aern and emerare feld n reacor essel n flow coas down Core Hh

More information

Improvement of Two-Equation Turbulence Model with Anisotropic Eddy-Viscosity for Hybrid Rocket Research

Improvement of Two-Equation Turbulence Model with Anisotropic Eddy-Viscosity for Hybrid Rocket Research evenh Inernaonal onference on ompaonal Fld Dynamcs (IFD7), Bg Island, awa, Jly 9-, IFD7-9 Improvemen of Two-Eqaon Trblence Model wh Ansoropc Eddy-Vscosy for ybrd oce esearch M. Mro * and T. hmada ** orrespondng

More information

Chapter 1 Introduction of boundary layer phenomena

Chapter 1 Introduction of boundary layer phenomena Chaper 1 Inrodcon of bondary layer phenomena T-S Le Jan. 13, 018 Man Topcs Hsory of Fld Mechancs Developmen Idea of Bondary Layer Bondary Layer Eqaons 1 Fld Mechancs Developmen Hsory Ideal fld: Invscd

More information

Different kind of oscillation

Different kind of oscillation PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.

More information

Numerical Simulation on Wind Flow over Step-shaped Cliff Topography with Rough Surface

Numerical Simulation on Wind Flow over Step-shaped Cliff Topography with Rough Surface In. J. Envron. Res., 7(1):173-186, Wner 013 ISSN: 1735-6865 Nmercal Smlaon on Wnd Flow over Sep-shaped Clff Topography wh Rogh Srface Yassn, M.F. 1,* and Al-Harb, M. 1 1 Deparmen of Envronmenal Technology

More information

Numerical simulation of flow reattachment length in a stilling basin with a step-down floor

Numerical simulation of flow reattachment length in a stilling basin with a step-down floor 5 h Inernaonal Symposm on Hydralc Srcres Brsbane, Asrala, 5-7 Jne 04 Hydralc Srcres and Socey: Engneerng hallenges and Eremes ISBN 97874756 - DOI: 0.464/ql.04.3 Nmercal smlaon of flow reaachmen lengh n

More information

by Lauren DeDieu Advisor: George Chen

by Lauren DeDieu Advisor: George Chen b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves

More information

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d Inernaonal Indsral Informacs and Comper Engneerng Conference (IIICEC 5) Dynamc Model of he Aally Movng Vscoelasc Bel Sysem wh Tensoner Plley Yanq L, a, Hongy Wang, b, Dongng Cao, c, Xaolng Ga, d Bejng

More information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Solution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM)

Solution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM) Appled and ompaonal Mahemacs 4; 3: 5-6 Pblshed onlne Febrary 4 hp://www.scencepblshnggrop.com//acm do:.648/.acm.43.3 olon of a dffson problem n a non-homogeneos flow and dffson feld by he negral represenaon

More information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol

More information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

Separated Turbulent Flow Simulations Using a Reynolds Stress Model and Unstructured Meshes

Separated Turbulent Flow Simulations Using a Reynolds Stress Model and Unstructured Meshes AIAA-5-194 AIAA 43rd Aerospace Scences Meeng & Exhb Reno, NV, Janary, 5 Separaed rblen Flo Smlaons Usng a Reynolds Sress Model and Unsrcred Meshes Emre Alpman and Lyle N. Long Deparmen of Aerospace Engneerng

More information

Variational method to the second-order impulsive partial differential equations with inconstant coefficients (I)

Variational method to the second-order impulsive partial differential equations with inconstant coefficients (I) Avalable onlne a www.scencedrec.com Proceda Engneerng 6 ( 5 4 Inernaonal Worksho on Aomoble, Power and Energy Engneerng Varaonal mehod o he second-order mlsve aral dfferenal eqaons wh nconsan coeffcens

More information

Research Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel

Research Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel Researc Jornal of Appled Scences, Engneerng and Tecnology 7(): 65-7, 4 DOI:.96/afs.7.5 ISS: 4-7459; e-iss: 4-7467 4 Mawell Scenfc Pblcaon Corp. Sbmed: Jne 8, Acceped: Jly 9, Pblsed: Marc 5, 4 Researc Arcle

More information

The Elastic Wave Equation. The elastic wave equation

The Elastic Wave Equation. The elastic wave equation The Elasc Wave Eqaon Elasc waves n nfne homogeneos soropc meda Nmercal smlaons for smple sorces Plane wave propagaon n nfne meda Freqency, wavenmber, wavelengh Condons a maeral dsconnes nell s Law Reflecon

More information

Comparison between two solar tower receivers of different geometry

Comparison between two solar tower receivers of different geometry Reve des Energes Renovelables Vol. 20 N 4 (2017) 713-720 Comparson beween wo solar ower recevers of dfferen geomery M. Hazmone 1.2 *, B. Aor 2, M.M. Hada 1 and A. Male 1 1 Cenre de Développemen des Energes

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

CFD MODELING FOR HELIUM RELEASES IN A PRIVATE GARAGE WITHOUT FORCED VENTILATION

CFD MODELING FOR HELIUM RELEASES IN A PRIVATE GARAGE WITHOUT FORCED VENTILATION CFD MODELING FOR HELIUM RELEASES IN A PRIVATE GARAGE WITHOUT FORCED VENTILATION Papankolao, E.A. 1 and Venesanos, A.G. 1 1 Envronmenal Research Laboraory, NCSR Demokros, Agha Paraskev, Aks, 15310, Greece,

More information

Real-Time Trajectory Generation and Tracking for Cooperative Control Systems

Real-Time Trajectory Generation and Tracking for Cooperative Control Systems Real-Tme Trajecor Generaon and Trackng for Cooperave Conrol Ssems Rchard Mrra Jason Hcke Calforna Inse of Technolog MURI Kckoff Meeng 14 Ma 2001 Olne I. Revew of prevos work n rajecor generaon and rackng

More information

Stochastic Programming handling CVAR in objective and constraint

Stochastic Programming handling CVAR in objective and constraint Sochasc Programmng handlng CVAR n obecve and consran Leondas Sakalaskas VU Inse of Mahemacs and Informacs Lhana ICSP XIII Jly 8-2 23 Bergamo Ialy Olne Inrodcon Lagrangan & KKT condons Mone-Carlo samplng

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

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

Cartesian tensors. Order (rank) Scalar. Vector. 3x3 matrix

Cartesian tensors. Order (rank) Scalar. Vector. 3x3 matrix Caresan ensors Order (rank) 0 1 3 a b c d k Scalar ecor 33 mar Caresan ensors Kronecker dela δ = 1 f = 0 f Le- Ca epslon ε k = 1 f,, k are cclc 1 f,, k are ancclc 0 oherse Smmaon conenon (o eqal ncces

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

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

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

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

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

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

Study on the Unexpected Wave of the Experiment of Ultrasonic Guided Wave in Square Steel Bar based on 2D Equivalent Simulation

Study on the Unexpected Wave of the Experiment of Ultrasonic Guided Wave in Square Steel Bar based on 2D Equivalent Simulation Sdy on he Unepeced Wave of he Epermen of Ulrasonc Gded Wave n Sqare Seel Bar based on D Eqvalen Smlaon Le Zhang,, Yan Yang,*, Xaoyan We, Wenqng Yao School of aomaon and nformaon engneerng, X'an Unversy

More information

Solving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences

Solving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences Jornal of Kfa for Maemacs and Compe Vol. No.7 Dec pp 77-5 Solvng Parabolc Paral Delay Dfferenal Eqaons Usng e Eplc Meod And Hger Order Dfferences Asss. Prof. Amal Kalaf Haydar Kfa Unversy College of Edcaon

More information

XIII International PhD Workshop OWD 2011, October Three Phase DC/DC Boost Converter With High Energy Efficiency

XIII International PhD Workshop OWD 2011, October Three Phase DC/DC Boost Converter With High Energy Efficiency X nernaonal Ph Workshop OW, Ocober Three Phase C/C Boos Converer Wh Hgh Energy Effcency Ján Perdľak, Techncal nversy of Košce Absrac Ths paper presens a novel opology of mlphase boos converer wh hgh energy

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

Is it necessary to seasonally adjust business and consumer surveys. Emmanuelle Guidetti

Is it necessary to seasonally adjust business and consumer surveys. Emmanuelle Guidetti Is necessar o seasonall adjs bsness and consmer srves Emmanelle Gde Olne 1 BTS feares 2 Smlaon eercse 3 Seasonal ARIMA modellng 4 Conclsons Jan-85 Jan-87 Jan-89 Jan-91 Jan-93 Jan-95 Jan-97 Jan-99 Jan-01

More information

ESTIMATION OF HYDRAULIC JUMP LOCATION USING NUMERICAL SIMULATION

ESTIMATION OF HYDRAULIC JUMP LOCATION USING NUMERICAL SIMULATION Twel Inernaonal Waer Tecnology Conerence, IWTC 8, Aleandra, gyp STIMATION OF HYDRAULIC JUMP LOCATION USING NUMRICAL SIMULATION M. T. Samaa,, M. Hasem and H. M. Karr, Cvl ngneerng Deparmen, Facly o ngneerng,

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

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

A Functional-Link-Based Fuzzy Neural Network for Temperature Control

A Functional-Link-Based Fuzzy Neural Network for Temperature Control Proceedngs of he 7 IEEE Symposm on Fondaons of Compaonal Inellgence (FOCI 7) A Fnconal-Ln-Based Fzzy Neral Neor for emperare Conrol Cheng-Hng Chen *, Chn-eng Ln, Fello, IEEE, and Cheng-Jan Ln, ember, IEEE

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

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

Background and Motivation: Importance of Pressure Measurements

Background and Motivation: Importance of Pressure Measurements Imornce of Pressre Mesremens: Pressre s rmry concern for mny engneerng lcons e.g. lf nd form drg. Cvon : Pressre s of fndmenl mornce n ndersndng nd modelng cvon. Trblence: Velocy-Pressre-Grden ensor whch

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

first-order circuit Complete response can be regarded as the superposition of zero-input response and zero-state response.

first-order circuit Complete response can be regarded as the superposition of zero-input response and zero-state response. Experimen 4:he Sdies of ransiional processes of 1. Prpose firs-order circi a) Use he oscilloscope o observe he ransiional processes of firs-order circi. b) Use he oscilloscope o measre he ime consan of

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

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

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

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004 Mehod of Charaerss for Pre Adveon By Glbero E Urroz Sepember 004 Noe: The followng noes are based on lass noes for he lass COMPUTATIONAL HYDAULICS as agh by Dr Forres Holly n he Sprng Semeser 985 a he

More information

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

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

More information

( 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

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

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

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

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

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

Block 5 Transport of solutes in rivers

Block 5 Transport of solutes in rivers Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow

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

A comparison of Lagrangian dispersion models coupled to a meteorological model for high stack air pollution forecast

A comparison of Lagrangian dispersion models coupled to a meteorological model for high stack air pollution forecast Ar Pollon X C.A. Brebba J.F. Marín-Dqe eds. WIT Press A comparson of Lagrangan dsperson models copled o a meeorologcal model for hgh sack ar pollon forecas E. Penabad V. Pere-Mñr J.A. Soo J.J. Casares

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

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

Modelling of test case particle-laden jet with NEPTUNE_CFD

Modelling of test case particle-laden jet with NEPTUNE_CFD Modelln of es case arcle-laden e wh NEPTNE_CFD H. D. Le 1 J-M. Lacome 1 A. Vnes 1 B. Debray 1 B. Trcho 1 P. Fede 3 E. Clmen 3 1 INERIS Parc echnoloe ALATA B.P. FR-60550 Vernel-en-Halae nversé de Tolose

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

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

11/11/2017. Randal W. Samstag, MS, PE, BCEE Civil and Sanitary Engineer Bainbridge Island, WA US

11/11/2017. Randal W. Samstag, MS, PE, BCEE Civil and Sanitary Engineer Bainbridge Island, WA US 11/11/017 Randal W. Samsag, MS, PE, BCEE Cl and Sanary Engneer Banbrdge Island, WA S To gan some ndersandng of how compaonal fld dynamcs (CFD) can help s o beer ndersand waer resorce recoery facles sng

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

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g

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

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

Comparative Study of Netonian Sinusoidal Blood Flow through Normal and Stenosed Carotid Artery

Comparative Study of Netonian Sinusoidal Blood Flow through Normal and Stenosed Carotid Artery IOSR Jornal of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volme 13, Isse 6 Ver. III (Nov. - Dec. 2017), PP 08-17 www.osrornals.org Comparave Sdy of Neonan Snsodal Blood Flow hrogh Normal

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

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

Friction and Ocean Turbulence Part I

Friction and Ocean Turbulence Part I Frcton and Ocean Trblence Part I L. Goodman General Physcal Oceanography MAR 555 School for Marne Scences and Technology Umass-Dartmoth Frcton and Ocean Trblence Part I 3 Types of Flow Potental Flow No

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

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

S.G. Chefranov 1 ) and A.S. Chefranov 2 ) Summary

S.G. Chefranov 1 ) and A.S. Chefranov 2 ) Summary Exac Te-Dependen Solon o he Three-Densonal Eler- Helholz and Reann-Hopf Eqaons for Vorex Flow of a Copressble Med and one of he Mllenn Prze Probles S.G. Chefranov and.s. Chefranov, Obhov Inse of ospherc

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

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

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β SARAJEVO JOURNAL OF MATHEMATICS Vol.3 (15) (2007), 137 143 SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β M. A. K. BAIG AND RAYEES AHMAD DAR Absrac. In hs paper, we propose

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

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

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

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

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

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System Herarchcal Sldng Mode Conrol for Seres Doble Invered Pendlms Sysem Danwe Qan, Janqang Y, Dongbn Zhao, and Ynxng Hao Laboraory of Complex Sysems and Inellgence Scence Inse of Aomaon, Chnese Academy of Scences

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

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance

Bayes rule for a classification problem INF Discriminant functions for the normal density. Euclidean distance. Mahalanobis distance INF 43 3.. Repeon Anne Solberg (anne@f.uo.no Bayes rule for a classfcaon problem Suppose we have J, =,...J classes. s he class label for a pxel, and x s he observed feaure vecor. We can use Bayes rule

More information

Qi Kang*, Lei Wang and Qidi Wu

Qi Kang*, Lei Wang and Qidi Wu In. J. Bo-Inspred Compaon, Vol., Nos. /, 009 6 Swarm-based approxmae dynamc opmzaon process for dscree parcle swarm opmzaon sysem Q Kang*, Le Wang and Qd W Deparmen of Conrol Scence and Engneerng, ongj

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

WebAssign HW Due 11:59PM Tuesday Clicker Information

WebAssign HW Due 11:59PM Tuesday Clicker Information WebAssgn HW Due 11:59PM Tuesday Clcker Inormaon Remnder: 90% aemp, 10% correc answer Clcker answers wll be a end o class sldes (onlne). Some days we wll do a lo o quesons, and ew ohers Each day o clcker

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

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

Mechanics Physics 151

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

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

CFD Analysis of Aerodynamic Drag Effects on Vacuum Tube Trains

CFD Analysis of Aerodynamic Drag Effects on Vacuum Tube Trains Jornal of Appled Fld Mechancs, ol. 1, No. 1, pp. 303-309, 019. Aalable onlne a.afmonlne.ne, ISSN 1735-357, EISSN 1735-3645. DOI: 10.95/afm.75.53.9091 CFD Analss of Aerodnamc Drag Effecs on acm Tbe Trans

More information