NEAR-FIELD TO FAR-FIELD TRANSFORMATION WITH PLANAR SPIRAL SCANNING

Size: px
Start display at page:

Download "NEAR-FIELD TO FAR-FIELD TRANSFORMATION WITH PLANAR SPIRAL SCANNING"

Transcription

1 Progress In Electromagnetics Research, PIER 73, 49 59, 27 NEAR-FIELD TO FAR-FIELD TRANSFORMATION WITH PLANAR SPIRAL SCANNING S. Costanzo an G. Di Massa Dipartimento i Elettronica Informatica e Sistemistica Universitá ella Calabria 8736 Rene (CS), Italy Abstract A transformation proceure irectly computing the antenna far-fiel pattern from near-fiel samples acquire on a planar spiral is propose in this paper. The convolution property of the raiation integral is exploite to efficiently perform the evaluation by taking avantages of the Fast Fourier Transform, without the nee of any intermeiate interpolation process. Valiations on circular arrays of elementary ipoles are presente to show the effectiveness of the metho. 1. INTRODUCTION Measuring techniques in the raiating near-fiel are establishe as compact an controlle environments to perform accurate antenna test an iagnostics. They require a processing of the probe near-fiel istribution to recover the corresponing far-fiel pattern, with a variety of existing transformation techniques base on moal expansions an equivalent source reconstruction, or employing traine neural networks [1]. Stanar near-fiel setup are base on planar, cylinrical an spherical geometries, but improve scanning configurations, in terms of complexity an cost, have been introuce. In the framework of planar near-fiel measurements, a strong improvement with respect to scanner compactness is given by the bipolar configuration [2], base on exclusive rotational motions of the Antenna Uner Test (AUT)an the measuring probe. Near-fiel ata are collecte at the intersections between concentric rings an raial arcs, by imposing a full revolution of the AUT, followe by an incremental rotation of the probe arm. A further improvement of

2 5 Costanzo an Di Massa the bi-polar configuration has been recently achieve by imposing a simultaneous an continuous motion of the AUT an the measuring probe, so reucing the acquisition time as well as the overall system complexity. This measurement strategy results in a sampling arrangement on a planar spiral [3], which however strongly complicates the near-fiel to far-fiel transformation process, as a conversion to a rectangular format is neee to take avantage of the Fast Fourier Transform (FFT)algorithm. An Optimal Sampling Interpolation (OSI)technique [4] is then applie [3] to express the raiating fiel in a carinal series form by employing appropriate sampling functions. An approximate interpolation formula is also aopte [3] to map the non-uniform behavior of spiral samples in the raial coorinate into a sequence of uniformly space ata. In orer to avoi the near-fiel oversampling inherent to the spiral sampling arrangement, a fast an accurate interpolation algorithm is propose in [5, 6] to reconstruct the raiate electromagnetic fiel on a rotational surface from the knowlege of a non reunant number of its samples on a spiral wrapping the scanning surface. In this paper, a fast ata processing algorithm is propose to compute the AUT far-fiel irectly from near-fiel samples acquire on the planar spiral. The convolution property of the raiation integral is exploite to evelop an efficient proceure computing the far-fiel pattern in terms of FFT algorithm. This avois the application of intermeiate interpolations usually aopte in literature to enable the use of planar near-fiel to far-fiel transformation. Numerical simulations on circular arrays of Huyghens sources are iscusse to valiate the propose technique. 2. NEAR-FIELD SAMPLING ON PLANAR SPIRAL The planar spiral geometry is obtaine by imposing a simultaneous rotation of the AUT an the probe arm in terms of angles α an β, respectively (Fig. 1). This gives a samples istribution on raial arcs at points P (s,α )(Fig. 2), where s is a surrogate for the raial coorinate ρ, efine as [3]: s = ρ (1) The parameter in relation (1)gives the istance between the AUT an the near-fiel measuring plane (fig.1), while α is the angle escribing the AUT rotation, which is relate to the azimuthal coorinate φ by the equation [2]:

3 Progress In Electromagnetics Research, PIER 73, α = φ + β 2 β being the probe arm rotation angle. (2) z Far-fielpoint Probearm θ β α= L α= α x y φ AUT x y Figure 1. Planar spiral scanning geometry. The archimeean spiral scanning is mathematically escribe by the equation: ρ = aα +2πaγ, a >, γ =, 1, 2,... (3) which ientifies all points lying on the raial arc associate to a specific value of the azimuthal angle α (Fig. 2). The raial spacing between two ajacent points on the same arc is erive from (3)as: ρ =2πa (4) It must be coherent with the sample spacing neee for the planepolar geometry, that is: ρ = λ (5) 2 So, the correct value for the parameter a into expression (3)is erive from sampling consierations, by equating relations (4)an (5)to

4 52 Costanzo an Di Massa y α= α ρ P α = x L β Figure 2. Sampling arrangement on planar spiral. obtain: a = λ 4π (6) 3. FAR-FIELD COMPUTATION FROM NEAR-FIELD ON PLANAR SPIRAL Let us consier a near-fiel ata set collecte on a polar scan plane having raius ρ max. A raiation-type integral for the equivalent aperture current on the acquisition plane can be erive as [7]: T (θ, φ) = ρmax 2π q(ρ,φ ) e jkρ sinθcos(φ φ ) ρ ρ φ (7) where the scalar form is consiere, for the sake of simplicity. Uner the assumption of a omniirectional probe, the left han sie of equation (7)gives the far-fiel at coorinates (θ,φ)(fig. 1), while the term q(ρ,φ )represents the near-fiel istribution on the measurement plane x -y (Fig. 1), k being the free-space propagation constant. In the presence of a near-fiel spiral trajectory with maximum raial extension ρ max, the coorinate transformations (1), (2) from polar

5 Progress In Electromagnetics Research, PIER 73, variables (ρ,φ )to spiral variables (s,α )moifies the raiation integral (7)as follows: T (θ, φ) = ρmax β 2 +2π β 2 q(s,α ) e jks sinθcos(φ α + β 2 ) 2 s s α (8) A compact form of equation (8)can be easily erive as: T (θ, φ) = ρmax β 2 +2π β 2 q 1 (s,α ) r(θ, φ, s,α )s α (9) where the following efinitions are aopte: q 1 (s,α )=s 2 q(s,α )(1) r(θ, φ, s,α )=e jks sinθcos(φ α + β 2 ) (11) A convolution form in the variable α can be recognize for the inner integral appearing in (8), so leaing to apply the Fourier transform for its computation, by invoking the convolution theorem as [8]: where: T (θ, φ) = ρmax F 1 { q 1 (s,w) r(θ, φ, s,w) } s (12) q 1 (s,w)=f { q 1 (s,α) } (13) r(θ, φ, s,w)=f { r(θ, φ, s,α ) } (14) an the symbols F an are use to enote the Fourier transform operator. Let us consier a near-fiel spiral trajectory with samples locations at coorinates: α m = m α, m =, 1, 2,..., M 1 (15) s nm = ρ nm, n =, 1, 2,..., N 1 (16) where: ρ nm = a(α m +2πn)(17) N being the number of loops in the spiral arrangement an M the number of samples for each loop. After inserting relation (17)into equation (16)an making use of expressions (5)an (6), a pair of iscrete mathematical relationships

6 54 Costanzo an Di Massa are obtaine which uniquely escribe the near-fiel spiral trajectory in terms of spacings coherent with the plane-polar sampling requirements, namely: α = φ = λ (18) 2r o s = ρ = λ (19) 2 where r o is the raius of the smallest sphere completely enclosing the AUT. With the above assumptions on spiral samples istribution, the numerical computation of the raiation integral (12)can be performe as: T (θ, φ) = N 1 M 1 n= m = In this latter relation, the terms: q 1 (s nm,w)= 1 M r(θ, φ, s nm,w)= 1 M [ q 1 (s nm,w) r(θ, φ, s nm,w)] e j 2πm w M (2) M 1 m= M 1 m= 2πmw j q 1 (s nm,α m ) e M (21) 2πmw j r(θ, φ, s nm,α m ) e M (22) represents the Discrete Fourier Transform (DFT)of the sequences q 1 (...)an r(...), respectively, which can be efficiently performe by aopting the FFT algorithm [8]. An overview of the ata processing metho for far-fiel computation from near-fiel samples on planar spiral is reporte uner Fig NUMERICAL RESULTS Numerical tests on ipole arrays are performe to show the effectiveness of the propose far-fiel transformation process from nearfiel samples on planar spiral. As a first case, a circular array of 18 y-oriente Huyghens sources λ/2 space is consiere, with excitation coefficients chosen to have a main lobe in the irection θ =1 in the H-plane. Near-fiel acquisition is simulate on a plane at a istance =1λ from the array, with samples lying on a planar spiral having N = 2 loops an M=136 points along each loop. Sampling spacings

7 Progress In Electromagnetics Research, PIER 73, Near-fiel ata on planar spiral Multiply by coorinate s Perform FFT on exp function Perform FFT over coorinate α X Perform FFT -1 Perform sum over coorinate s Far-Fiel at coorinates θ, φ Figure 3. Data processing scheme for the planar spiral configuration y [ ] x [ ] Figure 4. Normalize near-fiel amplitue on planar spiral for a circular array of 18 elements.

8 56Costanzo an Di Massa Intensity Pattern [B] Reference Reconstructe from irect transformation [eg] Figure 5. Co-polarize H-plane pattern for circular array of 18 elements y [ ] x [ ] Figure 6. Normalize near-fiel amplitue on planar spiral for a planar circular array.

9 Progress In Electromagnetics Research, PIER 73, α an s coherent with relations (18)an (19)are consiere, by assuming r o =1.85λ. The contour plot of the normalize intensity pattern on the near-fiel spiral trajectory is shown in Fig. 4. The irect transformation algorithm is then applie to near-fiel spiral samples for recovering the co-polarize H-plane pattern reporte uner Fig. 5 an successfully compare with the exact array solution. As a further valiation, a planar circular array of iameter equal to 14λ is consiere, with elements given by y-oriente ipoles raially an azimuthally space of λ/2. Simulations are performe on a near-fiel plane at a istance = 15λ from the array, with samples locate on a spiral arrangement with N = 3 loops an M = 133 points along each loop. An azimuthal spacing α =2.72 is assume, with r o =7.5λ, an a normalize raial step s as given by equation (19) is again consiere. The normalize amplitue of the simulate nearfiel on the planar spiral is shown in Fig. 6, while the co-polarize H plane pattern as obtaine from the irect transformation algorithm is reporte uner Fig. 7. A high accuracy is prove again by comparison with the exact analytical solution. Reference Reconstructe from irect transformation Intensity Pattern [B] [eg] Figure 7. Co-polarize H-plane pattern for planar circular array.

10 58 Costanzo an Di Massa 5. CONCLUSIONS AND FUTURE DEVELOPMENTS A far-fiel transformation proceure irectly performe on near-fiel samples coming from a planar spiral arrangement is evelope in this paper. The convolution property of the raiation integral is exploite to efficiently perform its computation in terms of FFT. This avois the use of interpolation techniques usually aopte in literature to obtain a rectangularly regularize format of the near-fiel ata which enables the application of the well known planar near-fiel to farfiel transformation. The propose ata processing is numerically valiate on circular arrays of elementary ipoles. Concerning future evelopments, two open points will be consiere. First of all, the proceure will be extene to take into account the irective effect of a non-ieal probe, by incluing a correct probe compensation. Furthermore, the application of a two-probes base metho [9] will be consiere for recovering the far-fiel pattern from the knowlege of intensity-only ata on a single near-fiel spiral surface. REFERENCES 1. Ayestaran, R. G. an F. Las-Heras, Near fiel to far fiel transformation using neural networks an source reconstruction, Journal of Electromagnetic Waves an Applications, Vol. 2, No. 15, , Williams, L. I., Y. Rahmat-Samii, an R. G. Yaccarino, The bi-polar planar near-fiel measurement technique, Part I: Implementation an measurement comparison, IEEE Trans. Antennas Propag., Vol. 42, No. 2, , Yaccarino, R. G., L., I. Williams, an Y. Rahmat-Samii, Linear spiral sampling for the bipolar planar near-fiel antenna measurement technique, IEEE Trans. Antennas Propag., Vol. 44, No. 7, , Bucci, O. M., C. Gennarelli, an C. Savarese, Fast an accurate near-fiel far-fiel transformation by sampling interpolation of plane-polar measurements, IEEE Trans. Antennas Propag., Vol. 39, No. 1, 48 55, D Agostino F., C. Gennarelli, an G. Riccio, Theoretical founations of near-fiel far-fiel transformations with spiral scannings, Progress In Electromagnetics Research, PIER 61, , D Agostino, F., F. Ferrara, C. Gennarelli, an G. Riccio, Directivity computation by spherical spiral scanning in near-

11 Progress In Electromagnetics Research, PIER 73, fiel region, Journal of Electromagnetic Waves an Applications, Vol. 19, No. 1, , Costanzo, S. an G. Di Massa, Direct far-fiel computation from bi-polar near-fiel samples, Journal of Electromagnetic Waves an Applications, Vol. 2, No. 9, , Weaver, H. J., Theory of Discrete an Continuous Fourier Analysis, John Wiley an Sons, New York, Costanzo, S. an G. Di Massa, Far-fiel reconstruction from phaseless near-fiel ata on a cylinrical helix, Journal of Electromagnetic Waves an Applications, Vol. 18, No. 8, , 24.

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B);

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); 1.1.4. Prouct of three vectors. Given three vectors A, B, anc. We list three proucts with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); a 1 a 2 a 3 (A B) C = b 1 b 2 b 3 c 1 c 2 c 3 where the

More information

Software package for Spherical Near-Field Far-Field Transformations with Full Probe Correction

Software package for Spherical Near-Field Far-Field Transformations with Full Probe Correction SNIFT Software package for Spherical Near-Field Far-Field Transformations with Full Probe Correction Historical development The theoretical background for spherical near-field antenna measurements and

More information

Mannheim curves in the three-dimensional sphere

Mannheim curves in the three-dimensional sphere Mannheim curves in the three-imensional sphere anju Kahraman, Mehmet Öner Manisa Celal Bayar University, Faculty of Arts an Sciences, Mathematics Department, Muraiye Campus, 5, Muraiye, Manisa, urkey.

More information

Lecture L25-3D Rigid Body Kinematics

Lecture L25-3D Rigid Body Kinematics J. Peraire, S. Winall 16.07 Dynamics Fall 2008 Version 2.0 Lecture L25-3D Rigi Boy Kinematics In this lecture, we consier the motion of a 3D rigi boy. We shall see that in the general three-imensional

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS Contents 1. Moment generating functions 2. Sum of a ranom number of ranom variables 3. Transforms

More information

10.2 Systems of Linear Equations: Matrices

10.2 Systems of Linear Equations: Matrices SECTION 0.2 Systems of Linear Equations: Matrices 7 0.2 Systems of Linear Equations: Matrices OBJECTIVES Write the Augmente Matrix of a System of Linear Equations 2 Write the System from the Augmente Matrix

More information

DIFFRACTION AND INTERFERENCE

DIFFRACTION AND INTERFERENCE DIFFRACTION AND INTERFERENCE In this experiment you will emonstrate the wave nature of light by investigating how it bens aroun eges an how it interferes constructively an estructively. You will observe

More information

Lagrange s equations of motion for oscillating central-force field

Lagrange s equations of motion for oscillating central-force field Theoretical Mathematics & Applications, vol.3, no., 013, 99-115 ISSN: 179-9687 (print), 179-9709 (online) Scienpress Lt, 013 Lagrange s equations of motion for oscillating central-force fiel A.E. Eison

More information

A Generalization of Sauer s Lemma to Classes of Large-Margin Functions

A Generalization of Sauer s Lemma to Classes of Large-Margin Functions A Generalization of Sauer s Lemma to Classes of Large-Margin Functions Joel Ratsaby University College Lonon Gower Street, Lonon WC1E 6BT, Unite Kingom J.Ratsaby@cs.ucl.ac.uk, WWW home page: http://www.cs.ucl.ac.uk/staff/j.ratsaby/

More information

On Adaboost and Optimal Betting Strategies

On Adaboost and Optimal Betting Strategies On Aaboost an Optimal Betting Strategies Pasquale Malacaria 1 an Fabrizio Smerali 1 1 School of Electronic Engineering an Computer Science, Queen Mary University of Lonon, Lonon, UK Abstract We explore

More information

Notes on tangents to parabolas

Notes on tangents to parabolas Notes on tangents to parabolas (These are notes for a talk I gave on 2007 March 30.) The point of this talk is not to publicize new results. The most recent material in it is the concept of Bézier curves,

More information

α α λ α = = λ λ α ψ = = α α α λ λ ψ α = + β = > θ θ β > β β θ θ θ β θ β γ θ β = γ θ > β > γ θ β γ = θ β = θ β = θ β = β θ = β β θ = = = β β θ = + α α α α α = = λ λ λ λ λ λ λ = λ λ α α α α λ ψ + α =

More information

FAST JOINING AND REPAIRING OF SANDWICH MATERIALS WITH DETACHABLE MECHANICAL CONNECTION TECHNOLOGY

FAST JOINING AND REPAIRING OF SANDWICH MATERIALS WITH DETACHABLE MECHANICAL CONNECTION TECHNOLOGY FAST JOINING AND REPAIRING OF SANDWICH MATERIALS WITH DETACHABLE MECHANICAL CONNECTION TECHNOLOGY Jörg Felhusen an Sivakumara K. Krishnamoorthy RWTH Aachen University, Chair an Insitute for Engineering

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics D.G. Simpson, Ph.D. Department of Physical Sciences an Engineering Prince George s Community College December 5, 007 Introuction In this course we have been stuying

More information

Ch 10. Arithmetic Average Options and Asian Opitons

Ch 10. Arithmetic Average Options and Asian Opitons Ch 10. Arithmetic Average Options an Asian Opitons I. Asian Option an the Analytic Pricing Formula II. Binomial Tree Moel to Price Average Options III. Combination of Arithmetic Average an Reset Options

More information

Double Integrals in Polar Coordinates

Double Integrals in Polar Coordinates Double Integrals in Polar Coorinates Part : The Area Di erential in Polar Coorinates We can also aly the change of variable formula to the olar coorinate transformation x = r cos () ; y = r sin () However,

More information

Scalar : Vector : Equal vectors : Negative vectors : Proper vector : Null Vector (Zero Vector): Parallel vectors : Antiparallel vectors :

Scalar : Vector : Equal vectors : Negative vectors : Proper vector : Null Vector (Zero Vector): Parallel vectors : Antiparallel vectors : ELEMENTS OF VECTOS 1 Scalar : physical quantity having only magnitue but not associate with any irection is calle a scalar eg: time, mass, istance, spee, work, energy, power, pressure, temperature, electric

More information

arxiv:1309.1857v3 [gr-qc] 7 Mar 2014

arxiv:1309.1857v3 [gr-qc] 7 Mar 2014 Generalize holographic equipartition for Friemann-Robertson-Walker universes Wen-Yuan Ai, Hua Chen, Xian-Ru Hu, an Jian-Bo Deng Institute of Theoretical Physics, LanZhou University, Lanzhou 730000, P.

More information

ELEMENTS OF METRIC GEAR TECHNOLOGY

ELEMENTS OF METRIC GEAR TECHNOLOGY ELEMENS OF MEC GE ECHNOLOGY SECON SPU GE CLCULONS PHONE:..00 FX:.. WWW.SDP-S.COM. Stanar Spur Gear 0 0 Figure - shows the meshing of stanar spur gears. he meshing of stanar spur gears means pitch circles

More information

11 CHAPTER 11: FOOTINGS

11 CHAPTER 11: FOOTINGS CHAPTER ELEVEN FOOTINGS 1 11 CHAPTER 11: FOOTINGS 11.1 Introuction Footings are structural elements that transmit column or wall loas to the unerlying soil below the structure. Footings are esigne to transmit

More information

Firewall Design: Consistency, Completeness, and Compactness

Firewall Design: Consistency, Completeness, and Compactness C IS COS YS TE MS Firewall Design: Consistency, Completeness, an Compactness Mohame G. Goua an Xiang-Yang Alex Liu Department of Computer Sciences The University of Texas at Austin Austin, Texas 78712-1188,

More information

Math 230.01, Fall 2012: HW 1 Solutions

Math 230.01, Fall 2012: HW 1 Solutions Math 3., Fall : HW Solutions Problem (p.9 #). Suppose a wor is picke at ranom from this sentence. Fin: a) the chance the wor has at least letters; SOLUTION: All wors are equally likely to be chosen. The

More information

Answers to the Practice Problems for Test 2

Answers to the Practice Problems for Test 2 Answers to the Practice Problems for Test 2 Davi Murphy. Fin f (x) if it is known that x [f(2x)] = x2. By the chain rule, x [f(2x)] = f (2x) 2, so 2f (2x) = x 2. Hence f (2x) = x 2 /2, but the lefthan

More information

Here the units used are radians and sin x = sin(x radians). Recall that sin x and cos x are defined and continuous everywhere and

Here the units used are radians and sin x = sin(x radians). Recall that sin x and cos x are defined and continuous everywhere and Lecture 9 : Derivatives of Trigonometric Functions (Please review Trigonometry uner Algebra/Precalculus Review on the class webpage.) In this section we will look at the erivatives of the trigonometric

More information

Measures of distance between samples: Euclidean

Measures of distance between samples: Euclidean 4- Chapter 4 Measures of istance between samples: Eucliean We will be talking a lot about istances in this book. The concept of istance between two samples or between two variables is funamental in multivariate

More information

Area and Arc Length in Polar Coordinates

Area and Arc Length in Polar Coordinates Area and Arc Length in Polar Coordinates The Cartesian Coordinate System (rectangular coordinates) is not always the most convenient way to describe points, or relations in the plane. There are certainly

More information

Cone Beam Reconstruction Jiang Hsieh, Ph.D.

Cone Beam Reconstruction Jiang Hsieh, Ph.D. Cone Beam Reconstruction Jiang Hsieh, Ph.D. Applied Science Laboratory, GE Healthcare Technologies 1 Image Generation Reconstruction of images from projections. textbook reconstruction advanced acquisition

More information

A Universal Sensor Control Architecture Considering Robot Dynamics

A Universal Sensor Control Architecture Considering Robot Dynamics International Conference on Multisensor Fusion an Integration for Intelligent Systems (MFI2001) Baen-Baen, Germany, August 2001 A Universal Sensor Control Architecture Consiering Robot Dynamics Frierich

More information

CONCEPT-II. Overview of demo examples

CONCEPT-II. Overview of demo examples CONCEPT-II CONCEPT-II is a frequency domain method of moment (MoM) code, under development at the Institute of Electromagnetic Theory at the Technische Universität Hamburg-Harburg (www.tet.tuhh.de). Overview

More information

A Blame-Based Approach to Generating Proposals for Handling Inconsistency in Software Requirements

A Blame-Based Approach to Generating Proposals for Handling Inconsistency in Software Requirements International Journal of nowlege an Systems Science, 3(), -7, January-March 0 A lame-ase Approach to Generating Proposals for Hanling Inconsistency in Software Requirements eian Mu, Peking University,

More information

Optimal Control Policy of a Production and Inventory System for multi-product in Segmented Market

Optimal Control Policy of a Production and Inventory System for multi-product in Segmented Market RATIO MATHEMATICA 25 (2013), 29 46 ISSN:1592-7415 Optimal Control Policy of a Prouction an Inventory System for multi-prouct in Segmente Market Kuleep Chauhary, Yogener Singh, P. C. Jha Department of Operational

More information

Calibration of the broad band UV Radiometer

Calibration of the broad band UV Radiometer Calibration of the broa ban UV Raiometer Marian Morys an Daniel Berger Solar Light Co., Philaelphia, PA 19126 ABSTRACT Mounting concern about the ozone layer epletion an the potential ultraviolet exposure

More information

Example Optimization Problems selected from Section 4.7

Example Optimization Problems selected from Section 4.7 Example Optimization Problems selecte from Section 4.7 19) We are aske to fin the points ( X, Y ) on the ellipse 4x 2 + y 2 = 4 that are farthest away from the point ( 1, 0 ) ; as it happens, this point

More information

Introduction to Medical Imaging. Lecture 11: Cone-Beam CT Theory. Introduction. Available cone-beam reconstruction methods: Our discussion:

Introduction to Medical Imaging. Lecture 11: Cone-Beam CT Theory. Introduction. Available cone-beam reconstruction methods: Our discussion: Introduction Introduction to Medical Imaging Lecture 11: Cone-Beam CT Theory Klaus Mueller Available cone-beam reconstruction methods: exact approximate algebraic Our discussion: exact (now) approximate

More information

Differentiability of Exponential Functions

Differentiability of Exponential Functions Differentiability of Exponential Functions Philip M. Anselone an John W. Lee Philip Anselone (panselone@actionnet.net) receive his Ph.D. from Oregon State in 1957. After a few years at Johns Hopkins an

More information

As customary, choice (a) is the correct answer in all the following problems.

As customary, choice (a) is the correct answer in all the following problems. PHY2049 Summer 2012 Instructor: Francisco Rojas Exam 1 As customary, choice (a) is the correct answer in all the following problems. Problem 1 A uniformly charge (thin) non-conucting ro is locate on the

More information

Rec. ITU-R F.699-5 1 RECOMMENDATION ITU-R F.699-5 *

Rec. ITU-R F.699-5 1 RECOMMENDATION ITU-R F.699-5 * Rec. ITU-R F.699-5 1 RECOMMENATION ITU-R F.699-5 * REFERENCE RAIATION PATTERNS FOR LINE-OF-SIGHT RAIO-RELAY SYSTEM ANTENNAS FOR USE IN COORINATION STUIES AN INTERFERENCE ASSESSMENT IN THE FREQUENCY RANGE

More information

State of Louisiana Office of Information Technology. Change Management Plan

State of Louisiana Office of Information Technology. Change Management Plan State of Louisiana Office of Information Technology Change Management Plan Table of Contents Change Management Overview Change Management Plan Key Consierations Organizational Transition Stages Change

More information

Modelling and Resolving Software Dependencies

Modelling and Resolving Software Dependencies June 15, 2005 Abstract Many Linux istributions an other moern operating systems feature the explicit eclaration of (often complex) epenency relationships between the pieces of software

More information

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions c A Math Support Center Capsule February, 009 Introuction Just as trig functions arise in many applications, so o the inverse trig functions. What may be most surprising is that

More information

Interference Mitigation Techniques for Spectral Capacity Enhancement in GSM Networks

Interference Mitigation Techniques for Spectral Capacity Enhancement in GSM Networks I.J. Wireless an Microwave Technologies, 04,, 0-49 Publishe Online January 04 in MECS(http://www.mecs-press.net) OI: 0.585/ijwmt.04.0.03 Available online at http://www.mecs-press.net/ijwmt Interference

More information

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v, 1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It

More information

GPR Polarization Simulation with 3D HO FDTD

GPR Polarization Simulation with 3D HO FDTD Progress In Electromagnetics Research Symposium Proceedings, Xi an, China, March 6, 00 999 GPR Polarization Simulation with 3D HO FDTD Jing Li, Zhao-Fa Zeng,, Ling Huang, and Fengshan Liu College of Geoexploration

More information

Antenna A mean for radiating and receiving radio waves Transitional structure between free-space and a guiding device. Application: Radiation

Antenna A mean for radiating and receiving radio waves Transitional structure between free-space and a guiding device. Application: Radiation Antenna A mean for radiating and receiving radio waves Transitional structure between free-space and a guiding device Application: adiation Introduction An antenna is designed to radiate or receive electromagnetic

More information

Game Theoretic Modeling of Cooperation among Service Providers in Mobile Cloud Computing Environments

Game Theoretic Modeling of Cooperation among Service Providers in Mobile Cloud Computing Environments 2012 IEEE Wireless Communications an Networking Conference: Services, Applications, an Business Game Theoretic Moeling of Cooperation among Service Proviers in Mobile Clou Computing Environments Dusit

More information

Enterprise Resource Planning

Enterprise Resource Planning Enterprise Resource Planning MPC 6 th Eition Chapter 1a McGraw-Hill/Irwin Copyright 2011 by The McGraw-Hill Companies, Inc. All rights reserve. Enterprise Resource Planning A comprehensive software approach

More information

Exponential Functions: Differentiation and Integration. The Natural Exponential Function

Exponential Functions: Differentiation and Integration. The Natural Exponential Function 46_54.q //4 :59 PM Page 5 5 CHAPTER 5 Logarithmic, Eponential, an Other Transcenental Functions Section 5.4 f () = e f() = ln The inverse function of the natural logarithmic function is the natural eponential

More information

Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines

Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines EUROGRAPHICS 2000 / M. Gross an F.R.A. Hopgoo Volume 19, (2000), Number 3 (Guest Eitors) Unsteay Flow Visualization by Animating Evenly-Space Bruno Jobar an Wilfri Lefer Université u Littoral Côte Opale,

More information

Sensitivity Analysis of Non-linear Performance with Probability Distortion

Sensitivity Analysis of Non-linear Performance with Probability Distortion Preprints of the 19th Worl Congress The International Feeration of Automatic Control Cape Town, South Africa. August 24-29, 214 Sensitivity Analysis of Non-linear Performance with Probability Distortion

More information

UNIFIED BIJECTIONS FOR MAPS WITH PRESCRIBED DEGREES AND GIRTH

UNIFIED BIJECTIONS FOR MAPS WITH PRESCRIBED DEGREES AND GIRTH UNIFIED BIJECTIONS FOR MAPS WITH PRESCRIBED DEGREES AND GIRTH OLIVIER BERNARDI AND ÉRIC FUSY Abstract. This article presents unifie bijective constructions for planar maps, with control on the face egrees

More information

MATH 132: CALCULUS II SYLLABUS

MATH 132: CALCULUS II SYLLABUS MATH 32: CALCULUS II SYLLABUS Prerequisites: Successful completion of Math 3 (or its equivalent elsewhere). Math 27 is normally not a sufficient prerequisite for Math 32. Required Text: Calculus: Early

More information

Factoring Dickson polynomials over finite fields

Factoring Dickson polynomials over finite fields Factoring Dickson polynomials over finite fiels Manjul Bhargava Department of Mathematics, Princeton University. Princeton NJ 08544 manjul@math.princeton.eu Michael Zieve Department of Mathematics, University

More information

View Synthesis by Image Mapping and Interpolation

View Synthesis by Image Mapping and Interpolation View Synthesis by Image Mapping an Interpolation Farris J. Halim Jesse S. Jin, School of Computer Science & Engineering, University of New South Wales Syney, NSW 05, Australia Basser epartment of Computer

More information

New Modelling Capabilities in Commercial Software for High-Gain Antennas

New Modelling Capabilities in Commercial Software for High-Gain Antennas New Modelling Capabilities in Commercial Software for High-Gain Antennas Erik Jørgensen, Michael Lumholt, Peter Meincke, Min Zhou, Stig B. Sørensen, Oscar Borries, Cecilia Cappellin, and Poul Erik Frandsen

More information

JON HOLTAN. if P&C Insurance Ltd., Oslo, Norway ABSTRACT

JON HOLTAN. if P&C Insurance Ltd., Oslo, Norway ABSTRACT OPTIMAL INSURANCE COVERAGE UNDER BONUS-MALUS CONTRACTS BY JON HOLTAN if P&C Insurance Lt., Oslo, Norway ABSTRACT The paper analyses the questions: Shoul or shoul not an iniviual buy insurance? An if so,

More information

6 J - vector electric current density (A/m2 )

6 J - vector electric current density (A/m2 ) Determination of Antenna Radiation Fields Using Potential Functions Sources of Antenna Radiation Fields 6 J - vector electric current density (A/m2 ) M - vector magnetic current density (V/m 2 ) Some problems

More information

FACTORING IN THE HYPERELLIPTIC TORELLI GROUP

FACTORING IN THE HYPERELLIPTIC TORELLI GROUP FACTORING IN THE HYPERELLIPTIC TORELLI GROUP TARA E. BRENDLE AND DAN MARGALIT Abstract. The hyperelliptic Torelli group is the subgroup of the mapping class group consisting of elements that act trivially

More information

y or f (x) to determine their nature.

y or f (x) to determine their nature. Level C5 of challenge: D C5 Fining stationar points of cubic functions functions Mathematical goals Starting points Materials require Time neee To enable learners to: fin the stationar points of a cubic

More information

Department of Mathematical Sciences, University of Copenhagen. Kandidat projekt i matematik. Jens Jakob Kjær. Golod Complexes

Department of Mathematical Sciences, University of Copenhagen. Kandidat projekt i matematik. Jens Jakob Kjær. Golod Complexes F A C U L T Y O F S C I E N C E U N I V E R S I T Y O F C O P E N H A G E N Department of Mathematical Sciences, University of Copenhagen Kaniat projekt i matematik Jens Jakob Kjær Golo Complexes Avisor:

More information

Elliptic Functions sn, cn, dn, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota

Elliptic Functions sn, cn, dn, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota Elliptic Functions sn, cn, n, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota Backgroun: Jacobi iscovere that rather than stuying elliptic integrals themselves, it is simpler to think of them as inverses

More information

CT Image Reconstruction. Terry Peters Robarts Research Institute London Canada

CT Image Reconstruction. Terry Peters Robarts Research Institute London Canada CT Image Reconstruction Terry Peters Robarts Research Institute London Canada 1 Standard X-ray Views Standard Radiograph acquires projections of the body, but since structures are overlaid on each other,

More information

Wavefront Sculpture Technology

Wavefront Sculpture Technology Auio Engineering Society Convention Paer Presente at the th Convention 00 Setember New York, NY, USA This convention aer has been rerouce from the author's avance manuscrit, without eiting, corrections,

More information

Calculating Viscous Flow: Velocity Profiles in Rivers and Pipes

Calculating Viscous Flow: Velocity Profiles in Rivers and Pipes previous inex next Calculating Viscous Flow: Velocity Profiles in Rivers an Pipes Michael Fowler, UVa 9/8/1 Introuction In this lecture, we ll erive the velocity istribution for two examples of laminar

More information

Sound Power Measurement

Sound Power Measurement Sound Power Measurement A sound source will radiate different sound powers in different environments, especially at low frequencies when the wavelength is comparable to the size of the room 1. Fortunately

More information

Lecture L5 - Other Coordinate Systems

Lecture L5 - Other Coordinate Systems S. Widnall, J. Peraire 16.07 Dynamics Fall 008 Version.0 Lecture L5 - Other Coordinate Systems In this lecture, we will look at some other common systems of coordinates. We will present polar coordinates

More information

Different approaches for the equalization of automotive sound systems

Different approaches for the equalization of automotive sound systems Auio Engineering Society Convention Paper Presente at the 112th Convention 2002 May 10 13 Munich, Germany This convention paper has been reprouce from the author's avance manuscript, without eiting, corrections,

More information

INFLUENCE OF GPS TECHNOLOGY ON COST CONTROL AND MAINTENANCE OF VEHICLES

INFLUENCE OF GPS TECHNOLOGY ON COST CONTROL AND MAINTENANCE OF VEHICLES 1 st Logistics International Conference Belgrae, Serbia 28-30 November 2013 INFLUENCE OF GPS TECHNOLOGY ON COST CONTROL AND MAINTENANCE OF VEHICLES Goran N. Raoičić * University of Niš, Faculty of Mechanical

More information

Solutions to Homework 10

Solutions to Homework 10 Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x

More information

Factoring Patterns in the Gaussian Plane

Factoring Patterns in the Gaussian Plane Factoring Patterns in the Gaussian Plane Steve Phelps Introduction This paper describes discoveries made at the Park City Mathematics Institute, 00, as well as some proofs. Before the summer I understood

More information

Safety Management System. Initial Revision Date: Version Revision No. 02 MANUAL LIFTING

Safety Management System. Initial Revision Date: Version Revision No. 02 MANUAL LIFTING Revision Preparation: Safety Mgr Authority: Presient Issuing Dept: Safety Page: Page 1 of 11 Purpose is committe to proviing a safe an healthy working environment for all employees. Musculoskeletal isorers

More information

5 Isotope effects on vibrational relaxation and hydrogen-bond dynamics in water

5 Isotope effects on vibrational relaxation and hydrogen-bond dynamics in water 5 Isotope effects on vibrational relaxation an hyrogen-bon ynamics in water Pump probe experiments HDO issolve in liqui H O show the spectral ynamics an the vibrational relaxation of the OD stretch vibration.

More information

The one-year non-life insurance risk

The one-year non-life insurance risk The one-year non-life insurance risk Ohlsson, Esbjörn & Lauzeningks, Jan Abstract With few exceptions, the literature on non-life insurance reserve risk has been evote to the ultimo risk, the risk in the

More information

APPLIED MATHEMATICS ADVANCED LEVEL

APPLIED MATHEMATICS ADVANCED LEVEL APPLIED MATHEMATICS ADVANCED LEVEL INTRODUCTION This syllabus serves to examine candidates knowledge and skills in introductory mathematical and statistical methods, and their applications. For applications

More information

Unbalanced Power Flow Analysis in a Micro Grid

Unbalanced Power Flow Analysis in a Micro Grid International Journal of Emerging Technology an Avance Engineering Unbalance Power Flow Analysis in a Micro Gri Thai Hau Vo 1, Mingyu Liao 2, Tianhui Liu 3, Anushree 4, Jayashri Ravishankar 5, Toan Phung

More information

EECS 556 Image Processing W 09. Interpolation. Interpolation techniques B splines

EECS 556 Image Processing W 09. Interpolation. Interpolation techniques B splines EECS 556 Image Processing W 09 Interpolation Interpolation techniques B splines What is image processing? Image processing is the application of 2D signal processing methods to images Image representation

More information

MSc. Econ: MATHEMATICAL STATISTICS, 1995 MAXIMUM-LIKELIHOOD ESTIMATION

MSc. Econ: MATHEMATICAL STATISTICS, 1995 MAXIMUM-LIKELIHOOD ESTIMATION MAXIMUM-LIKELIHOOD ESTIMATION The General Theory of M-L Estimation In orer to erive an M-L estimator, we are boun to make an assumption about the functional form of the istribution which generates the

More information

How To Find Out How To Calculate Volume Of A Sphere

How To Find Out How To Calculate Volume Of A Sphere Contents High-Dimensional Space. Properties of High-Dimensional Space..................... 4. The High-Dimensional Sphere......................... 5.. The Sphere an the Cube in Higher Dimensions...........

More information

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm Sewoong Oh an Anrea Montanari Electrical Engineering an Statistics Department Stanfor University, Stanfor,

More information

Lecture L6 - Intrinsic Coordinates

Lecture L6 - Intrinsic Coordinates S. Widnall, J. Peraire 16.07 Dynamics Fall 2009 Version 2.0 Lecture L6 - Intrinsic Coordinates In lecture L4, we introduced the position, velocity and acceleration vectors and referred them to a fixed

More information

Chapter 2 Kinematics of Fluid Flow

Chapter 2 Kinematics of Fluid Flow Chapter 2 Kinematics of Flui Flow The stuy of kinematics has flourishe as a subject where one may consier isplacements an motions without imposing any restrictions on them; that is, there is no nee to

More information

The Quick Calculus Tutorial

The Quick Calculus Tutorial The Quick Calculus Tutorial This text is a quick introuction into Calculus ieas an techniques. It is esigne to help you if you take the Calculus base course Physics 211 at the same time with Calculus I,

More information

Option Pricing for Inventory Management and Control

Option Pricing for Inventory Management and Control Option Pricing for Inventory Management an Control Bryant Angelos, McKay Heasley, an Jeffrey Humpherys Abstract We explore the use of option contracts as a means of managing an controlling inventories

More information

Optimal Energy Commitments with Storage and Intermittent Supply

Optimal Energy Commitments with Storage and Intermittent Supply Submitte to Operations Research manuscript OPRE-2009-09-406 Optimal Energy Commitments with Storage an Intermittent Supply Jae Ho Kim Department of Electrical Engineering, Princeton University, Princeton,

More information

GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS

GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS 2 nd International Seminar on ORC Power Systems October 7 th & 8 th, 213 De Doelen, Rotterdam, NL GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS M. Morini,

More information

Lecture 17: Conformal Invariance

Lecture 17: Conformal Invariance Lecture 17: Conformal Invariance Scribe: Yee Lok Wong Department of Mathematics, MIT November 7, 006 1 Eventual Hitting Probability In previous lectures, we studied the following PDE for ρ(x, t x 0 ) that

More information

A Data Placement Strategy in Scientific Cloud Workflows

A Data Placement Strategy in Scientific Cloud Workflows A Data Placement Strategy in Scientific Clou Workflows Dong Yuan, Yun Yang, Xiao Liu, Jinjun Chen Faculty of Information an Communication Technologies, Swinburne University of Technology Hawthorn, Melbourne,

More information

Detecting Possibly Fraudulent or Error-Prone Survey Data Using Benford s Law

Detecting Possibly Fraudulent or Error-Prone Survey Data Using Benford s Law Detecting Possibly Frauulent or Error-Prone Survey Data Using Benfor s Law Davi Swanson, Moon Jung Cho, John Eltinge U.S. Bureau of Labor Statistics 2 Massachusetts Ave., NE, Room 3650, Washington, DC

More information

An intertemporal model of the real exchange rate, stock market, and international debt dynamics: policy simulations

An intertemporal model of the real exchange rate, stock market, and international debt dynamics: policy simulations This page may be remove to conceal the ientities of the authors An intertemporal moel of the real exchange rate, stock market, an international ebt ynamics: policy simulations Saziye Gazioglu an W. Davi

More information

A New Evaluation Measure for Information Retrieval Systems

A New Evaluation Measure for Information Retrieval Systems A New Evaluation Measure for Information Retrieval Systems Martin Mehlitz martin.mehlitz@ai-labor.e Christian Bauckhage Deutsche Telekom Laboratories christian.bauckhage@telekom.e Jérôme Kunegis jerome.kunegis@ai-labor.e

More information

Cross-Over Analysis Using T-Tests

Cross-Over Analysis Using T-Tests Chapter 35 Cross-Over Analysis Using -ests Introuction his proceure analyzes ata from a two-treatment, two-perio (x) cross-over esign. he response is assume to be a continuous ranom variable that follows

More information

Mathematics. Circles. hsn.uk.net. Higher. Contents. Circles 119 HSN22400

Mathematics. Circles. hsn.uk.net. Higher. Contents. Circles 119 HSN22400 hsn.uk.net Higher Mathematics UNIT OUTCOME 4 Circles Contents Circles 119 1 Representing a Circle 119 Testing a Point 10 3 The General Equation of a Circle 10 4 Intersection of a Line an a Circle 1 5 Tangents

More information

Antenna Measurement 1 Antenna Ranges antenna range

Antenna Measurement 1 Antenna Ranges antenna range Antenna Measurement 1 Antenna Ranges An antenna range is a facility where antenna radiation characteristics are measured. An antenna range includes the following typical components: 1. A substantial space

More information

Chapter 22: Electric Flux and Gauss s Law

Chapter 22: Electric Flux and Gauss s Law 22.1 ntroduction We have seen in chapter 21 that determining the electric field of a continuous charge distribution can become very complicated for some charge distributions. t would be desirable if we

More information

discuss how to describe points, lines and planes in 3 space.

discuss how to describe points, lines and planes in 3 space. Chapter 2 3 Space: lines and planes In this chapter we discuss how to describe points, lines and planes in 3 space. introduce the language of vectors. discuss various matters concerning the relative position

More information

MA 323 Geometric Modelling Course Notes: Day 02 Model Construction Problem

MA 323 Geometric Modelling Course Notes: Day 02 Model Construction Problem MA 323 Geometric Modelling Course Notes: Day 02 Model Construction Problem David L. Finn November 30th, 2004 In the next few days, we will introduce some of the basic problems in geometric modelling, and

More information

Fluid Pressure and Fluid Force

Fluid Pressure and Fluid Force 0_0707.q //0 : PM Page 07 SECTION 7.7 Section 7.7 Flui Pressure an Flui Force 07 Flui Pressure an Flui Force Fin flui pressure an flui force. Flui Pressure an Flui Force Swimmers know that the eeper an

More information

Least-Squares Intersection of Lines

Least-Squares Intersection of Lines Least-Squares Intersection of Lines Johannes Traa - UIUC 2013 This write-up derives the least-squares solution for the intersection of lines. In the general case, a set of lines will not intersect at a

More information

Cheng, N. S. (1997). "A simplified settling velocity formula for sediment particle." Journal of Hydraulic Engineering, ASCE, 123(2), 149-152.

Cheng, N. S. (1997). A simplified settling velocity formula for sediment particle. Journal of Hydraulic Engineering, ASCE, 123(2), 149-152. THIS PAPER IS CITED AS Cheng, N. S. (1997). "A simplifie settling velocity formula for seiment particle." Journal of Hyraulic Engineering, ASCE, 13(), 149-15. A SIMPLIFIED SETTLING VELOCITY FORMULA FOR

More information

Two-Dimensional Conduction: Shape Factors and Dimensionless Conduction Heat Rates

Two-Dimensional Conduction: Shape Factors and Dimensionless Conduction Heat Rates Two-Dimensional Conduction: Shape Factors and Dimensionless Conduction Heat Rates Chapter 4 Sections 4.1 and 4.3 make use of commercial FEA program to look at this. D Conduction- General Considerations

More information

ULTIMATE LIMIT STATES DESIGN

ULTIMATE LIMIT STATES DESIGN CHAPTER 10 ULTIMATE LIMIT STATES DESIGN Article 41. Equilibrium Limit State It shoul be verifie that the equilibrium limits (overturning, sliing, etc.), are not exceee uner the least favourable loaing

More information