Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices

Size: px
Start display at page:

Download "Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices"

Transcription

1 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 Argonne Naonal Laboraor Offce of Scence A Offce of Scence Laboraor Operaed b The Uners of Chcago

2 Oulne HEIGHTS-EUV Modelng Capables Laser Produced Plasma Smulaon Phscal and Numercal Model Laser Absorpon Targe Geomer Sngle Laser Smulaon Resuls Mul-Laser Confguraons Conclusons Poneerng Scence and 2 Offce of Scence

3 Varous HEIGHTS Research Areas Poneerng Scence and Offce of Scence

4 Inegraed EUV Modelng HEIGHTS-EUV: EUV: Comprehense Smulaon Proec Poneerng Scence and Offce of Scence

5 3-D D HEIGHTS-LPP Capables 3D TVD Mehod and Formulaons for MHD 3D Implc Scheme of sparse mar for Hea Conducon Smulaon 3D Mone Carlo Mehod for Radaon Transpor Modelng (wegh facors) for Connuum & Lnes 3D Mone Carlo Model for Laser Absorpon n Plasma Smulaon MPI Implemenaon for Mul-Processor Machnes Poneerng Scence and 5 Offce of Scence

6 3-D D Laser-Targe Ineracon Unlmed Full 3-D Geomer of Targe/Dece Mulple Laser Beam Ssems Each Has Own Parameers: - Sar me emporal power dsrbuon - Sar pon n space spaal power dsrbuon - Focus pon of laser beam - Drecon of laser beam s unlmed Dealed Treamen of Laser Reflecon/Absorpon processes Parallel Implemenaon of Varous Modules of HEIGHTS-LPP Poneerng Scence and 6 Offce of Scence

7 Poneerng Scence and Offce of Scence 7 Hdrodnamc (2 Hdrodnamc (2-T Approach) T Approach) ( ) ( ) ( ) [ ] ( ) [ ] ( ) [ ] ( ) [ ] ( ) [ ] ( ) [ ] ( ) e h rad las h e h Q Q p e p e p e e Q Q Q Q p e p e p e e p p p

8 Poneerng Scence and Offce of Scence 8 Plasma Hea Conducon Plasma Hea Conducon n n n n n n n D T A T A T A T A T A T A T A ( ) K A 2 ( ) K A 2 ( ) K A 2 ( ) K A 2 ( ) K A 2 ( ) K A 2 ( ) ( ) ( ) ( ) ( ) ( ) n n n K K K K K K c A n n n n T c D 2 K hermal conduc coeffcen c specfc hea dens D T A 0 T K e

9 HEIGHTS Aomc Phscs Models Poneerng Scence and Offce of Scence

10 Dscree Ordnae Radaon Transpor 3D Radaon Transpor Coupled o MHD Mar Clndrcal Geomer Specfed Drecons Spannng Toal Sold Angle Hgh-Order Gaussan Inegraon (up o angles) d I d E κ em B E κ abs I E S rad 2π π d I E ϕ 0 0 ( θ ϕ ) cosθ snθ dθ de I B κ E E em radae nens ϕ θ drece angles 3 2hE Planc funcon 2 E T c e κ emsson and absorpon coeffcens abs c speed of lgh h Planc consan Bolman consan. Poneerng Scence and 0 Offce of Scence

11 Mone Carlo Radaon Transpor N em 3D Radaon Transpor n Clndrcal Geomer Opmed Wegh Facors Drec Smulaon of Emsson Transpor and Absorpon of Phoons n he Doman Up o Emed Phoons from Each Cell κ number of emed phoons; [ E E ] E phoon energ; T emperaure and dens of κ em em abs E E ( E ) h π c 2 em N E T e E de ma 0 N mn mn ( E L) N ( E) ma emsson and absorpon coeffcens; energ range; ( E l ) he plasma; h Plan consan c speed of lgh L phoon absorpon lengh. em e L abs dl Poneerng Scence and Offce of Scence

12 Mone Carlo Radaon Transpor Poneerng Scence and 2 Offce of Scence

13 Laser-Drople Targe Ineracon Varous se dameer of drople arge Pre-pulse for arge preheang Varous laser wae lengh Dfferen pulse duraons Dfferen npu energes Square or Gaussan laser beam power dsrbuon n me and space Poneerng Scence and 3 Offce of Scence

14 Laser Pulses Conrol n Tme Poneerng Scence and 4 Offce of Scence

15 Laser-Drople Ineracon Poneerng Scence and 5 Offce of Scence

16 EUV Emsson Zone (Sn Drople) Poneerng Scence and 6 Offce of Scence

17 CE Dependence on Laser Waelengh Poneerng Scence and 7 Offce of Scence

18 Mul-Laser Confguraons Targe: Sn drople 00 µm 3 Lasers wh drecon angles: Θ -aal angle ϕ angle beween lasers (20 ) Laser parameers: spo on arge 00 µm pulse duraon 0 ns square n me Gaussan n space Poneerng Scence and 8 Offce of Scence

19 Temperaure and Radaon Flues Poneerng Scence and 9 Offce of Scence

20 CE of -Laser Vs. 3-Laser 3 Deces Poneerng Scence and 20 Offce of Scence

21 Temperaure (sde ew) Poneerng Scence and 2 Offce of Scence

22 Temperaure (op ew) Poneerng Scence and 22 Offce of Scence

23 Pea Temperaure (ev) Poneerng Scence and 23 Offce of Scence

24 Dens (sde ew) Poneerng Scence and 24 Offce of Scence

25 Dens (op ew) Poneerng Scence and 25 Offce of Scence

26 EUV Source Area (sde ew) Poneerng Scence and 26 Offce of Scence

27 EUV Source Area (op ew) Poneerng Scence and 27 Offce of Scence

28 Dependence of CE on Angle θ Poneerng Scence and 28 Offce of Scence

29 Conclusons HEIGHTS-LPP Pacage s epanded o full 3-D modelng of Laser produced plasma deces Parallel MPI erson of HEIGHTS s deeloped and esed Imporance of 3D effecs n he EUV emsson was shown Increasng of CE can be obaned b usng mul- laser confguraons Furher opmaon sudes are needed for source parameers debrs mgaon and collecor ssems lfeme Poneerng Scence and 29 Offce of Scence

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

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

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

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

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

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

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

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

Lecture Slides for INTRODUCTION TO. Machine Learning. ETHEM ALPAYDIN The MIT Press,

Lecture Slides for INTRODUCTION TO. Machine Learning. ETHEM ALPAYDIN The MIT Press, Lecure Sldes for INTRDUCTIN T Machne Learnng ETHEM ALAYDIN The MIT ress, 2004 alpaydn@boun.edu.r hp://www.cmpe.boun.edu.r/~ehem/2ml CHATER 3: Hdden Marov Models Inroducon Modelng dependences n npu; no

More information

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored

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

[ ] 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

Supporting Information: The integrated Global Temperature change Potential (igtp) and relationships between emission metrics

Supporting Information: The integrated Global Temperature change Potential (igtp) and relationships between emission metrics 2 3 4 5 6 7 8 9 Supporng Informaon: Te negraed Global Temperaure cange Poenal (GTP) and relaonsps beween emsson mercs Glen P. Peers *, Borgar Aamaas, Tere Bernsen,2, Jan S. Fuglesved Cener for Inernaonal

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

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

Inves&ga&on of atomic processes in laser produced plasmas for the short wavelength light sources

Inves&ga&on of atomic processes in laser produced plasmas for the short wavelength light sources Inves&ga&on of atomic processes in laser produced plasmas for the short wavelength light sources Akira Sasaki Quantum Beam Science Directorate Japan Atomic Energy Agency Introduc&on EUV source at λ=6.5nm

More information

Introduction to Compact Dynamical Modeling. III.1 Reducing Linear Time Invariant Systems. Luca Daniel Massachusetts Institute of Technology

Introduction to Compact Dynamical Modeling. III.1 Reducing Linear Time Invariant Systems. Luca Daniel Massachusetts Institute of Technology SF & IH Inroducon o Compac Dynamcal Modelng III. Reducng Lnear me Invaran Sysems Luca Danel Massachuses Insue of echnology Course Oulne Quck Sneak Prevew I. Assemblng Models from Physcal Problems II. Smulang

More information

Available online at ScienceDirect. Procedia Engineering 153 (2016 )

Available online at  ScienceDirect. Procedia Engineering 153 (2016 ) Avalable onlne a www.scencedrec.com ScenceDrec Proceda Engneerng 5 (6 ) 747 75 XXV Polsh Russan Slova Semnar Theorecal Foundaon of Cvl Engneerng Vbraon of embedded foundaon a mul-layered base ang no accoun

More information

Bernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field

Bernoulli process with 282 ky periodicity is detected in the R-N reversals of the earth s magnetic field Submed o: Suden Essay Awards n Magnecs Bernoull process wh 8 ky perodcy s deeced n he R-N reversals of he earh s magnec feld Jozsef Gara Deparmen of Earh Scences Florda Inernaonal Unversy Unversy Park,

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

Spurious oscillations and conservation errors in interface-capturing schemes

Spurious oscillations and conservation errors in interface-capturing schemes Cener for Turbulence Research Annual Research Brefs 8 115 Spurous oscllaons and conservaon errors n nerface-capurng schemes By E. Johnsen Movaon and objecves When shock-capurng schemes are appled o flows

More information

Cooling of a hot metal forging. , dt dt

Cooling of a hot metal forging. , dt dt Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered

More information

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms Feasbl Su for Reconsrucng he Spaal-Temporal Srucure of TIDs from Hgh-Resoluon Backscaer Ionograms Dr. L. J. Ncksch, Dr. Serge Frman, Dr. Mark Hausman NorhWes Research Assocaes, Monere, Calforna Dr. Geoffre

More information

HEAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION

HEAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION EAT FLUX MEASUREMENT OF URBAN BOUNDARY LAYERS IN KYOTO CITY AND ITS PREDICTION BY CFD SIMULATION Kazuya Takahash 1, arunor Yoshda 2, Yuzo Tanaka 3, Norko Aoake 1 and Fuln Wang 1 Eghh Inernaonal IBPSA Conference

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

Sklar: Sections (4.4.2 is not covered).

Sklar: Sections (4.4.2 is not covered). COSC 44: Dgal Councaons Insrucor: Dr. Ar Asf Deparen of Copuer Scence and Engneerng York Unversy Handou # 6: Bandpass Modulaon opcs:. Phasor Represenaon. Dgal Modulaon Schees: PSK FSK ASK APK ASK/FSK)

More information

Determination of the Noise Level Produced by Road Traffic

Determination of the Noise Level Produced by Road Traffic Deermnaon of he Nose evel Produced by Road Traffc lna Mhaela RĂDO Unversy POTHNC of Buchares, Splaul ndependene 33, Romana, e-mal:ralna_upb@yahoo.com Ncolae NSCU Deparmen of Mechancs, Unversy POTHNC of

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

The Performance of Optimum Response Surface Methodology Based on MM-Estimator

The Performance of Optimum Response Surface Methodology Based on MM-Estimator The Performance of Opmum Response Surface Mehodology Based on MM-Esmaor Habshah Md, Mohd Shafe Musafa, Anwar Frano Absrac The Ordnary Leas Squares (OLS) mehod s ofen used o esmae he parameers of a second-order

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

Discrete Markov Process. Introduction. Example: Balls and Urns. Stochastic Automaton. INTRODUCTION TO Machine Learning 3rd Edition

Discrete Markov Process. Introduction. Example: Balls and Urns. Stochastic Automaton. INTRODUCTION TO Machine Learning 3rd Edition EHEM ALPAYDI he MI Press, 04 Lecure Sldes for IRODUCIO O Machne Learnng 3rd Edon alpaydn@boun.edu.r hp://www.cmpe.boun.edu.r/~ehem/ml3e Sldes from exboo resource page. Slghly eded and wh addonal examples

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

Effect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor

Effect of a Vector Wall on the Thermal Field in a SRU Thermal Reactor Effec of a Vecor Wall on he Thermal Feld n a SRU Thermal Reacor Chun-Lang Yeh and Tzu-Ch Chen Absrac The effecs of a vecor wall on he hermal feld n a SRU hermal reacor are nvesgaed numercally. The FLUENT

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

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

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

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

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

Machine Learning 2nd Edition

Machine Learning 2nd Edition INTRODUCTION TO Lecure Sldes for Machne Learnng nd Edon ETHEM ALPAYDIN, modfed by Leonardo Bobadlla and some pars from hp://www.cs.au.ac.l/~aparzn/machnelearnng/ The MIT Press, 00 alpaydn@boun.edu.r hp://www.cmpe.boun.edu.r/~ehem/mle

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 5 Mobile Radio Propagation: Small-Scale Scale Fading and Multipath

Chapter 5 Mobile Radio Propagation: Small-Scale Scale Fading and Multipath Chaper 5 Moble Rado Propagaon: Small-Scale Scale Fadng and Mulpah Ymn Zhang, Ph.D. Deparmen of Elecrcal & Compuer Engneerng Vllanova Unversy hp://ymnzhang.com/ece878 Ymn Zhang, Vllanova Unversy Oulnes

More information

A Principled Approach to MILP Modeling

A Principled Approach to MILP Modeling A Prncpled Approach o MILP Modelng John Hooer Carnege Mellon Unvers Augus 008 Slde Proposal MILP modelng s an ar, bu need no be unprncpled. Slde Proposal MILP modelng s an ar, bu need no be unprncpled.

More information

Numerical simulation of a solar chimney power plant in the southern region of Iran

Numerical simulation of a solar chimney power plant in the southern region of Iran Energy Equp. Sys./ Vol. 5/No.4/December 2017/ 431-437 Energy Equpmen and Sysems hp://energyequpsys.u.ac.r www.energyequpsys.com Numercal smulaon of a solar chmney power plan n he souhern regon of Iran

More information

Introduction to. Computer Animation

Introduction to. Computer Animation Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon

More information

( ) lamp power. dx dt T. Introduction to Compact Dynamical Modeling. III.1 Reducing Linear Time Invariant Systems

( ) lamp power. dx dt T. Introduction to Compact Dynamical Modeling. III.1 Reducing Linear Time Invariant Systems SF & IH Inroducon o Compac Dynamcal Modelng III. Reducng Lnear me Invaran Sysems Luca Danel Massachuses Insue of echnology Movaons dx A x( + b u( y( c x( Suppose: we are jus neresed n ermnal.e. npu/oupu

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

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

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

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

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

Fast Space varying Convolution, Fast Matrix Vector Multiplication,

Fast Space varying Convolution, Fast Matrix Vector Multiplication, Fas Space varyng Convoluon Fas Marx Vecor Mulplcaon l and FMRI Acvaon Deecon Janng We Advsors: Prof. Jan P. Allebach Prof. Ilya Pollak Prof. Charles A. Bouman Dr. Peer A. Jansson School of Elecrcal and

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

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE

MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE Sep. 5. Vol. 7. No. 3 Inernaonal Journal of Engneerng and Appled Scences - 5 EAAS & ARF. All rghs reserved www.eaas-ournal.org MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE PEYMAN MAJNOUN

More information

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture Supersruure-asedOpmaonforDesgnof OpmalPSACylesforCO 2 Capure R. S. Kamah I. E. Grossmann L.. Begler Deparmen of Chemal Engneerng Carnege Mellon Unversy Psurgh PA 523 Marh 2 PSA n Nex Generaon Power Plans

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

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

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

[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

Tools for Analysis of Accelerated Life and Degradation Test Data

Tools for Analysis of Accelerated Life and Degradation Test Data Acceleraed Sress Tesng and Relably Tools for Analyss of Acceleraed Lfe and Degradaon Tes Daa Presened by: Reuel Smh Unversy of Maryland College Park smhrc@umd.edu Sepember-5-6 Sepember 28-30 206, Pensacola

More information

Relative Intermolecular Orientation Probed via Molecular Heat Transport

Relative Intermolecular Orientation Probed via Molecular Heat Transport pubs.acs.org/jpca Relave Inermolecular Orenaon Probed va Molecular Hea Transpor Halong Chen, Hongao Ban, Jebo L, Xewen Wen, and Junrong Zheng* Deparmen of Chemsry, Rce Unversy, Houson, Texas 7700, Uned

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

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION 21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:

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

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

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM

NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM NUMERICAL SIMULATION AND EXPERIMENTAL INVESTIGATION FOR INDOOR AIR ENVIRONMENT IN AN OFFICE ROOM D. Xe 1, 2, H-Q. Wang 1,3, and J. Xong 2 1 School of Energy Scence and Engneerng, Cenral Souh Unversy, ChangSha,

More information

Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave. channel routing with lateral inflow

Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave. channel routing with lateral inflow Accuracy of he Muskngum-unge mehod for consan-parameer dffuson-wave channel roung wh laeral nflow L Wang a, Sergey Lapn c,d,*, Joan. Wu b, Wllam J. Ello e, Frz R. Fedler f a Yakama Naon ERWM, Unon Gap,

More information

Thermal fatigue estimation due to thermal stratification in the RCS branch line using one-way FSI scheme

Thermal fatigue estimation due to thermal stratification in the RCS branch line using one-way FSI scheme Journal of Mechancal Scence and Technology 22 (2008) 2218~2227 Journal of Mechancal Scence and Technology www.sprngerlnk.com/conen/1738-494x DOI 10.1007/s12206-008-0912-9 Thermal fague esmaon due o hermal

More information

Material Science Simulations using PWmat

Material Science Simulations using PWmat Maeral Scence Smulaons usng PWma Ln-Wang Wang Chef Techncal Advsor, LongXu Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons

More information

Hydrogen Production with Mixed Protonic-Electronic Conducting Perovskite Membranes

Hydrogen Production with Mixed Protonic-Electronic Conducting Perovskite Membranes ydrogen roducon wh Mxed roonc-elecronc Conducng erovske Membranes Erc D. achsman UF-DE gh Temperaure Elecrochemsry Cener Deparmen of Maerals Scence and Engneerng Unversy of Florda Ganesvlle, FL 36 ewach@mse.ufl.edu

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

Finite Element Simulation of Prevention Thermal Cracking in Mass Concrete

Finite Element Simulation of Prevention Thermal Cracking in Mass Concrete In. J. of Compung Scence and Mahemacs 1 Fne Elemen Smulaon of Prevenon Thermal Crackng n Mass Concree Junca Xu 1, Zhenzhong Shen 1, Song Yang 2, Xn Xe 3, Zhengyu Yang 3 1. College of Waer Conservancy and

More information

Geographically weighted regression (GWR)

Geographically weighted regression (GWR) Ths s he auhor s fnal verson of he manuscrp of Nakaya, T. (007): Geographcally weghed regresson. In Kemp, K. ed., Encyclopaeda of Geographcal Informaon Scence, Sage Publcaons: Los Angeles, 179-184. Geographcally

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

A Tour of Modeling Techniques

A Tour of Modeling Techniques A Tour of Modelng Technques John Hooker Carnege Mellon Unversy EWO Semnar February 8 Slde Oulne Med neger lnear (MILP) modelng Dsuncve modelng Knapsack modelng Consran programmng models Inegraed Models

More information

Numerical analysis on the distribution features of velocity circulation of axial-flow pump

Numerical analysis on the distribution features of velocity circulation of axial-flow pump Numercal analss on he dsrbuon feaures of veloc crculaon of aal-flow pump ZHU Honggeng a and ZHANG Renan a, b a School of Hdraulc, Energ and Power Engneerng, Yanghou Unvers, Yanghou, Jangsu 4009, P. R.

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

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

Learning Objectives. Self Organization Map. Hamming Distance(1/5) Introduction. Hamming Distance(3/5) Hamming Distance(2/5) 15/04/2015

Learning Objectives. Self Organization Map. Hamming Distance(1/5) Introduction. Hamming Distance(3/5) Hamming Distance(2/5) 15/04/2015 /4/ Learnng Objecves Self Organzaon Map Learnng whou Exaples. Inroducon. MAXNET 3. Cluserng 4. Feaure Map. Self-organzng Feaure Map 6. Concluson 38 Inroducon. Learnng whou exaples. Daa are npu o he syse

More information

Adaptive Neuro-Fuzzy Inference Controllers for Smart Material Actuators

Adaptive Neuro-Fuzzy Inference Controllers for Smart Material Actuators Adapve Neuro-Fuzz Inference Conrollers for Smar Maeral Acuaors Teodor Lucan Grgore and Ruxandra Mhaela Boez École de Technologe Supéreure, Monréal, Quebec HC K Canada An nellgen approach for smar maeral

More information

CS 536: Machine Learning. Nonparametric Density Estimation Unsupervised Learning - Clustering

CS 536: Machine Learning. Nonparametric Density Estimation Unsupervised Learning - Clustering CS 536: Machne Learnng Nonparamerc Densy Esmaon Unsupervsed Learnng - Cluserng Fall 2005 Ahmed Elgammal Dep of Compuer Scence Rugers Unversy CS 536 Densy Esmaon - Cluserng - 1 Oulnes Densy esmaon Nonparamerc

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

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,

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

Laser beam interaction with materials for microscale applications

Laser beam interaction with materials for microscale applications Worceser Polyechnc Insue Dgal WPI Docoral Dsseraons (All Dsseraons All Years) Elecronc Theses and Dsseraons 5-- Laser beam neracon wh maerals for mcroscale applcaons Krysof A. Nowaows Worceser Polyechnc

More information

ANALYSIS OF THE DUAL PHASE LAG BIO-HEAT TRANSFER EQUATION WITH CONSTANT AND TIME-DEPENDENT HEAT FLUX CONDITIONS ON SKIN SURFACE

ANALYSIS OF THE DUAL PHASE LAG BIO-HEAT TRANSFER EQUATION WITH CONSTANT AND TIME-DEPENDENT HEAT FLUX CONDITIONS ON SKIN SURFACE Zae Poor, H., e al.: Analyss of he Dual Phase Lag Bo-Hea Transfer THERMAL SCIENCE, Year 16, Vol., No. 5, pp. 1457-147 1457 ANALYSIS OF THE DUAL PHASE LAG BIO-HEAT TRANSFER EQUATION WITH CONSTANT AND TIME-DEPENDENT

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

Explorations of translational molecular dynamics by NMR MGSE/OSGE methods

Explorations of translational molecular dynamics by NMR MGSE/OSGE methods Exploraons of ranslaonal molecular dynamcs by NMR MGSE/OSGE mehods Janez Sepšnk Unersy of Ljubljana, FMF, and J. Sefan Insue, Ljubljana, Sloena BC 3 BC AMPERE_School,CUBRIC_semnar 7 Modulaed Graden Spn

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

Fuzzy Set Theory in Modeling Uncertainty Data. via Interpolation Rational Bezier Surface Function

Fuzzy Set Theory in Modeling Uncertainty Data. via Interpolation Rational Bezier Surface Function Appled Mahemacal Scences, Vol. 7, 013, no. 45, 9 38 HIKARI Ld, www.m-hkar.com Fuzzy Se Theory n Modelng Uncerany Daa va Inerpolaon Raonal Bezer Surface Funcon Rozam Zakara Deparmen of Mahemacs, Faculy

More information

Application Note AN Software release of SemiSel version 3.1. New semiconductor available. Temperature ripple at low inverter output frequencies

Application Note AN Software release of SemiSel version 3.1. New semiconductor available. Temperature ripple at low inverter output frequencies Applicaion Noe AN-8004 Revision: Issue Dae: Prepared by: 00 2008-05-21 Dr. Arend Winrich Ke y Words: SemiSel, Semiconducor Selecion, Loss Calculaion Sofware release of SemiSel version 3.1 New semiconducor

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

Filtrage particulaire et suivi multi-pistes Carine Hue Jean-Pierre Le Cadre and Patrick Pérez

Filtrage particulaire et suivi multi-pistes Carine Hue Jean-Pierre Le Cadre and Patrick Pérez Chaînes de Markov cachées e flrage parculare 2-22 anver 2002 Flrage parculare e suv mul-pses Carne Hue Jean-Perre Le Cadre and Parck Pérez Conex Applcaons: Sgnal processng: arge rackng bearngs-onl rackng

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

Fundamental investigation on CO 2 laser-produced Sn plasma for an EUVL source

Fundamental investigation on CO 2 laser-produced Sn plasma for an EUVL source Fundamental investigation on CO 2 laser-produced Sn plasma for an EUVL source Yezheng Tao*, Mark Tillack, Kevin Sequoia, Russel Burdt, Sam Yuspeh, and Farrokh Najmabadi University of California, San Diego

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

Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source

Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source 3rd International EUVL Symposium NOVEMBER 1-4, 2004 Miyazaki, Japan Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source H. Tanaka, A. Matsumoto, K. Akinaga, A. Takahashi

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

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

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