KINEMATICS OF FLUID MOTION

Size: px
Start display at page:

Download "KINEMATICS OF FLUID MOTION"

Transcription

1 KINEMATICS OF FLUID MOTION The Velocity Field The representation of properties of flid parameters as fnction of the spatial coordinates is termed a field representation of the flo. One of the most important flid ariables is the elocity field. V = ( x, y, z, t)ˆ i ( x, y, z, t) ˆj ( x, y, z, t) kˆ Where, and are the x, y and z components of the elocity ector. The speed of flid is ; Figre V = V = ( 2 ) 1

2 Example 1 The elocity field of a flo is gien by V = ( 5z 3)ˆ i ( x 4) ˆj (4y) kˆ (m/s) Determine the flid speed at the origin (x=y=z=0) And on the x-axis (y=z=0) Example 2 The elocity field of a flo is gien by 20y x V iˆ 20 ˆj x y x y = (m/s) Determine the flid speed at points along the x-axis and along the y-axis. What is the angle beteen the elocity ector and the x-axis at point (x,y)=(5,0), (5,5) and (0,5) Example 3 The components of a elocity ector field are gien by =xy, =xy 3 16 and =0. Determine the location of any stagnation points (V=0) in the flo field. 2

3 Elerian and Lagrangian Flo Descriptions There are to general approaches in analyzing flid mechanics problems. The first method is called the Elerian method, the second method is called the Lagragian method. From Elerian method e obtain information abot the flo in terms of hat happens at fixed points in space as the flid flos past those points. Lagragian method inoles folloing indiidal flid particles as they moe abot and determining ho the flid properties associated ith these particles change as a fnction of time. That is, the flid particles are tagged or identified, and their properties determined as they moe. Figre 2 3

4 Steady and Unsteady Flo We hae assmed steady flo is the elocity at a gien point in space does not ary ith time. V t In reality, almost all flos are nsteady in some sense. The nsteady flos are sally more difficlt to analyze and to inestigate experimentally than are steady flos. Laminar flo smooth flo = 0 Trblent flo irreglar flo 4

5 Streamlines Streamline is a line that is eeryhere tangent to the elocity field. Streamlines are obtained analytically by integrating the eqations defining lines tangent to the elocity field as illstrated in the Figre 3. Figre 3 dy = dx 5

6 Streaklines and pathlines A streakline consists of all particles in a flo that hae preiosly passed throgh a common point. Streaklines are more of a laboratory tool than an analytical tool. They can be obtained by taking instantaneos photographs of marked particles that all passed throgh a gien location in the flo field at some earlier time. A pathline is the line traced ot by a gien particle as it flos from one point to another. The pathline is a Lagrangian concept that can be prodced in the paboratory by marking a flid particle and taking a time exposre photograph of its motion. Figre 4 6

7 The Acceleration Field For the infreqently sed Lagrangian method, e described the flid acceleration jst as is done in solid body dynamics, a = a(t) for each particle. For the Elerian description e describe the acceleration field as a fnction of position and time ithot actally folloing any particlar particle. This is analogos to describing the flo in terms of the elocity field, V = V ( x, y, z, t) The acceleration of a particle is the time rate of change of its elocity. 7

8 The Material Deriatie Figre 5 Consider a flid particle moing along its pathline as shon in Figre 5. In general, the particle s elocity, denoted V A for particle A, is a fnction of its location and the time. That is ; VA = VA ( ra, t) = VA[ x A ( t), y A ( t), z A ( t), t] 8

9 Then, the acceleration field from the elocity field for any particle obtained as ; z V y V x V t V a = This is a reslt hose scalar components can be ritten as ; (x-axis) z y x t a x = (y-axis) z y x t a y = (z-axis) z y x t a z = 9

10 Conectie Effects The portion of the material deriatie represented by the spatial deriaties is termed the conectie deriatie. It represents the fact that a flo property associated ith a flid particle may ary becase of the motion of the particle from one point in space here the parameter has one ale to another point in space here its ale is different. That portion of the acceleration is termed the conectie acceleration. For example, the temperatre of a ater particle changes as it flos throgh a ater heater. Figre 6 10

11 Example 4 The x and y components of a elocity field are gien by =x 2 y and =-xy 2. Determine the eqation for the streamlines of this flo. Example 5 A elocity field is gien by =cx 2 and =cy 2, here c is a constant. Determine the x and y components of the acceleration. At hat point (points) in the flo is the acceleration zero. Example 6 Determine the acceleration field for a three-dimensional flo ith elocity components, =-x, =4x 2 y 2 and =x-y. 11

12 Example 7 Figre 7 A hydralic jmp is a rather sdden change in depth of a liqid layer as it flos in an open channel as shon in Figre 7. If V 1 =0.4m/s, V 2 =0.1m/s and l = 0.07m, estimate the aerage deceleration of the liqid as it flos across the hydralic jmp. Ho many G s deceleration does this represent? Example 8 V 0 =40m/s and V = 3 2 V 0 sinθ Figre 8. Determine the streamise and normal components of acceleration at point A if the radis of the sphere is a=0.20m. 12

13 Streamline Coordinates Figre 9 In many flo sitations, it is conenient to se a coordinate system defined in terms of the streamlines of the flo. The flos can be described either in (x, y) Cartesian coordinate or (r, θ) polar coordinate system. 13

14 Control Volme and System Representations Figre 10 A control olme, on the other hand, is a olme in space (a geometric entity, independent of mass) throgh hich flid may flo. A system is a specific, identifiable qantity of matter. It may consist of a relatiely large amont of mass, or it may be an infinitesimal size. The system may interact ith its srrondings by arios means. It may continally change size and shape, bt it alays contains the same mass. 14

MAE 3130: Fluid Mechanics Lecture 5: Fluid Kinematics Spring Dr. Jason Roney Mechanical and Aerospace Engineering

MAE 3130: Fluid Mechanics Lecture 5: Fluid Kinematics Spring Dr. Jason Roney Mechanical and Aerospace Engineering MAE 3130: Fluid Mechanics Lecture 5: Fluid Kinematics Spring 2003 Dr. Jason Roney Mechanical and Aerospace Engineering Outline Introduction Velocity Field Acceleration Field Control Volume and System Representation

More information

Vectors. May Mass. Velocity. Temperature. Distance. Density. Force. Acceleration. Volume

Vectors. May Mass. Velocity. Temperature. Distance. Density. Force. Acceleration. Volume Vectors May 17 15 Vectors are mathematical qantities that hae direction and magnitde, and can be pictred as arrows. This is in contrast to scalars, which are qantities that hae a nmerical ale bt no direction.

More information

[1] Hopcroft, J., D. Joseph and S. Whitesides, Movement problems for twodimensional

[1] Hopcroft, J., D. Joseph and S. Whitesides, Movement problems for twodimensional Acknoledgement. The athors thank Bill Lenhart for interesting discssions on the recongration of rlers. References [1] Hopcroft, J., D. Joseph and S. Whitesides, Moement problems for todimensional linkages,

More information

The LS-STAG Method : A new Immersed Boundary / Level-Set Method for the Computation of Incompressible Viscous Flows in Complex Geometries

The LS-STAG Method : A new Immersed Boundary / Level-Set Method for the Computation of Incompressible Viscous Flows in Complex Geometries The LS-STAG Method : A new Immersed Bondary / Level-Set Method for the Comptation of Incompressible Viscos Flows in Complex Geometries Yoann Cheny & Olivier Botella Nancy Universités LEMTA - UMR 7563 (CNRS-INPL-UHP)

More information

Last lecture: finishing up Chapter 22

Last lecture: finishing up Chapter 22 Last lectre: finishing p Chapter 22 Hygens principle consider each point on a wavefront to be sorce of secondary spherical wavelets that propagate at the speed of the wave at a later time t, new wavefront

More information

On Plane Constrained Bounded-Degree Spanners

On Plane Constrained Bounded-Degree Spanners Algorithmica manscript No. (ill be inserted by the editor) 1 On Plane Constrained Bonded-Degree Spanners 2 3 Prosenjit Bose Rolf Fagerberg André an Renssen Sander Verdonschot 4 5 Receied: date / Accepted:

More information

Lecture 1.1 Introduction to Fluid Dynamics

Lecture 1.1 Introduction to Fluid Dynamics Lecture 1.1 Introduction to Fluid Dynamics 1 Introduction A thorough study of the laws of fluid mechanics is necessary to understand the fluid motion within the turbomachinery components. In this introductory

More information

FLOWING FLUIDS AND PRESSURE VARIATION

FLOWING FLUIDS AND PRESSURE VARIATION Chapter 4 Pressure differences are (often) the forces that move fluids FLOWING FLUIDS AND PRESSURE VARIATION Fluid Mechanics, Spring Term 2011 e.g., pressure is low at the center of a hurricane. For your

More information

Mobility Control and Its Applications in Mobile Ad Hoc Networks

Mobility Control and Its Applications in Mobile Ad Hoc Networks Mobility Control and Its Applications in Mobile Ad Hoc Netorks Jie W and Fei Dai Department of Compter Science and Engineering Florida Atlantic Uniersity Boca Raton, FL 3331 Abstract Most existing localized

More information

Image Restoration Image Degradation and Restoration

Image Restoration Image Degradation and Restoration Image Degradation and Restoration hxy Image Degradation Model: Spatial domain representation can be modeled by: g x y h x y f x y x y Freqency domain representation can be modeled by: G F N Prepared By:

More information

The General Aspects of Computational Fluid Dynamics. Dorin Lelea Unievrsity Politehnica of Timisoara

The General Aspects of Computational Fluid Dynamics. Dorin Lelea Unievrsity Politehnica of Timisoara The General Aspects of Comptational Flid Dnamics Dorin Lelea Uniersit Politehnica of Timisoara What is comptational flid dnamics? Comptational Flid Dnamics (CFD) can be defined as the se of compters to

More information

1-2 Geometric vectors

1-2 Geometric vectors 1-2 Geometric ectors We are going to start simple, by defining 2-dimensional ectors, the simplest ectors there are. Are these the ectors that can be defined by to numbers only? Yes, and here is a formal

More information

CS 4204 Computer Graphics

CS 4204 Computer Graphics CS 424 Compter Graphics Crves and Srfaces Yong Cao Virginia Tech Reference: Ed Angle, Interactive Compter Graphics, University of New Mexico, class notes Crve and Srface Modeling Objectives Introdce types

More information

Worksheet And Programme Listing

Worksheet And Programme Listing GETTING STARTED WITH PYGAME ZERO ON THE RASPBERRY PI Worksheet And Programme Listing.technoisaledcation.co.k This resorce is copyright TechnoVisal Limited 2017 bt permission is gien to freely copy for

More information

Lecture 1: Introduction

Lecture 1: Introduction Lectre : Introdction.. Introdction The Finite Element Method (FEM) is a nmerical techniqe to find approimate soltions of partial differential eqations. It as originated from the need of soling comple elasticit

More information

Lecture 10. Diffraction. incident

Lecture 10. Diffraction. incident 1 Introdction Lectre 1 Diffraction It is qite often the case that no line-of-sight path exists between a cell phone and a basestation. In other words there are no basestations that the cstomer can see

More information

Projectile Motion. Honors Physics

Projectile Motion. Honors Physics Projectile Motion Honors Physics What is projectile? Projectile -Any object which projected by some means and continues to moe due to its own inertia (mass). Projectiles moe in TWO dimensions Since a projectile

More information

Kinematics on oblique axes

Kinematics on oblique axes Bolina 1 Kinematics on oblique axes Oscar Bolina Departamento de Física-Matemática Uniersidade de São Paulo Caixa Postal 66318 São Paulo 05315-970 Brasil E-mail; bolina@if.usp.br Abstract We sole a difficult

More information

A sufficient condition for spiral cone beam long object imaging via backprojection

A sufficient condition for spiral cone beam long object imaging via backprojection A sfficient condition for spiral cone beam long object imaging via backprojection K. C. Tam Siemens Corporate Research, Inc., Princeton, NJ, USA Abstract The response of a point object in cone beam spiral

More information

Triangle Contact Representations

Triangle Contact Representations Triangle Contact Representations Stean Felsner elsner@math.t-berlin.de Technische Uniersität Berlin, Institt ür Mathematik Strasse des 7. Jni 36, 0623 Berlin, Germany Abstract. It is conjectred that eery

More information

3D SURFACE RECONSTRUCTION BASED ON COMBINED ANALYSIS OF REFLECTANCE AND POLARISATION PROPERTIES: A LOCAL APPROACH

3D SURFACE RECONSTRUCTION BASED ON COMBINED ANALYSIS OF REFLECTANCE AND POLARISATION PROPERTIES: A LOCAL APPROACH 3D SURFACE RECONSTRUCTION BASED ON COMBINED ANALYSIS OF REFLECTANCE AND POLARISATION PROPERTIES: A LOCAL APPROACH Pablo d Angelo and Christian Wöhler DaimlerChrysler Research and Technology, Machine Perception

More information

Digital Image Processing Chapter 5: Image Restoration

Digital Image Processing Chapter 5: Image Restoration Digital Image Processing Chapter 5: Image Restoration Concept of Image Restoration Image restoration is to restore a degraded image back to the original image while image enhancement is to maniplate the

More information

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 9 Fall, 2018

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 9 Fall, 2018 OPTI-502 Optical Design and Instrmentation I John E. Greivenkamp Assigned: 10/31/18 Lectre 21 De: 11/7/18 Lectre 23 Note that in man 502 homework and exam problems (as in the real world!!), onl the magnitde

More information

1 Mathematical Concepts

1 Mathematical Concepts 1 Mathematical Concepts Mathematics is the language of geophysical fluid dynamics. Thus, in order to interpret and communicate the motions of the atmosphere and oceans. While a thorough discussion of the

More information

5.0 Curve and Surface Theory

5.0 Curve and Surface Theory 5. Cre and Srface Theor 5.1 arametric Representation of Cres Consider the parametric representation of a cre as a ector t: t [t t t] 5.1 The deriatie of sch a ector ealated at t t is gien b t [ t t t ]

More information

3-DIMENSIONAL RESPONSE CHARACTERISTICS OF CONTINUOUS VIADUCT NEAR A FAULT

3-DIMENSIONAL RESPONSE CHARACTERISTICS OF CONTINUOUS VIADUCT NEAR A FAULT 13 th World Conference on Earthqake Engineering Vancoer, B.C., Canada Agst 1-6, 24 Paper No. 367 3-DIMENSIONAL RESPONSE CHARACTERISTICS OF CONTINUOUS VIADUCT NEAR A FAULT Kotak OHO 1, Takanori HARADA 2

More information

Module 4: Fluid Dynamics Lecture 9: Lagrangian and Eulerian approaches; Euler's acceleration formula. Fluid Dynamics: description of fluid-motion

Module 4: Fluid Dynamics Lecture 9: Lagrangian and Eulerian approaches; Euler's acceleration formula. Fluid Dynamics: description of fluid-motion Fluid Dynamics: description of fluid-motion Lagrangian approach Eulerian approach (a field approach) file:///d /Web%20Course/Dr.%20Nishith%20Verma/local%20server/fluid_mechanics/lecture9/9_1.htm[5/9/2012

More information

Chapter 1 - Basic Equations

Chapter 1 - Basic Equations 2.20 Marine Hydrodynamics, Fall 2017 Lecture 2 Copyright c 2017 MIT - Department of Mechanical Engineering, All rights reserved. 2.20 Marine Hydrodynamics Lecture 2 Chapter 1 - Basic Equations 1.1 Description

More information

POWER-OF-2 BOUNDARIES

POWER-OF-2 BOUNDARIES Warren.3.fm Page 5 Monday, Jne 17, 5:6 PM CHAPTER 3 POWER-OF- BOUNDARIES 3 1 Ronding Up/Down to a Mltiple of a Known Power of Ronding an nsigned integer down to, for eample, the net smaller mltiple of

More information

ABSOLUTE DEFORMATION PROFILE MEASUREMENT IN TUNNELS USING RELATIVE CONVERGENCE MEASUREMENTS

ABSOLUTE DEFORMATION PROFILE MEASUREMENT IN TUNNELS USING RELATIVE CONVERGENCE MEASUREMENTS Proceedings th FIG Symposim on Deformation Measrements Santorini Greece 00. ABSOUTE DEFORMATION PROFIE MEASUREMENT IN TUNNES USING REATIVE CONVERGENCE MEASUREMENTS Mahdi Moosai and Saeid Khazaei Mining

More information

Mobility Control and Its Applications in Mobile Ad Hoc Networks

Mobility Control and Its Applications in Mobile Ad Hoc Networks Mobility Control and Its Applications in Mobile Ad Hoc Netorks Jie W and Fei Dai, Florida Atlantic Uniersity Abstract Most eisting localized protocols in mobile ad hoc netorks, sch as data commnication

More information

Three Lorentz Transformations. Considering Two Rotations

Three Lorentz Transformations. Considering Two Rotations Ad. Stdies Theor. Phs., Vol. 6,, no., 9 Three orentz Transformations Considering To otations Mkl Chandra Das* Singhania Uniersit, ajasthan, India mkldas.@gmail.om ampada Misra Department of eletronis,

More information

Queries. Inf 2B: Ranking Queries on the WWW. Suppose we have an Inverted Index for a set of webpages. Disclaimer. Kyriakos Kalorkoti

Queries. Inf 2B: Ranking Queries on the WWW. Suppose we have an Inverted Index for a set of webpages. Disclaimer. Kyriakos Kalorkoti Qeries Inf B: Ranking Qeries on the WWW Kyriakos Kalorkoti School of Informatics Uniersity of Edinbrgh Sppose e hae an Inerted Index for a set of ebpages. Disclaimer I Not really the scenario of Lectre.

More information

Chapter 5 Network Layer

Chapter 5 Network Layer Chapter Network Layer Network layer Physical layer: moe bit seqence between two adjacent nodes Data link: reliable transmission between two adjacent nodes Network: gides packets from the sorce to destination,

More information

Rectangle-of-influence triangulations

Rectangle-of-influence triangulations CCCG 2016, Vancoer, British Colmbia, Ag 3 5, 2016 Rectangle-of-inflence trianglations Therese Biedl Anna Lbi Saeed Mehrabi Sander Verdonschot 1 Backgrond The concept of rectangle-of-inflence (RI) draings

More information

arxiv: v1 [cs.cg] 1 Feb 2016

arxiv: v1 [cs.cg] 1 Feb 2016 The Price of Order Prosenjit Bose Pat Morin André van Renssen, arxiv:160.00399v1 [cs.cg] 1 Feb 016 Abstract We present tight bonds on the spanning ratio of a large family of ordered θ-graphs. A θ-graph

More information

EFFECTS OF EXPANSION RATIO ON FLOW AND HEAT TRANSFER CHARACTERISTICS IN LAMINAR OVER A THREE-DIMENSIONAL BACKWARD-FACING STEP

EFFECTS OF EXPANSION RATIO ON FLOW AND HEAT TRANSFER CHARACTERISTICS IN LAMINAR OVER A THREE-DIMENSIONAL BACKWARD-FACING STEP Proceedings of the Asian Conference on Thermal Sciences 017, 1st ACTS March 6-30, 017, Jej Island, Korea ACTS-P0019 EFFECTS OF EXPANSION RATIO ON FLOW AND HEAT TRANSFER CHARACTERISTICS IN LAMINAR OVER

More information

f x y z ds f P S (,, ) lim ( ) ds f P S S S.

f x y z ds f P S (,, ) lim ( ) ds f P S S S. 4.7 rface Integral We diide srface into patches patch, mltiply by the area with area, and form the sm n n i j f P ( ). We ealate f at a point P, in each Then we take the limit as the patch size approaches

More information

Summer 2017 MATH Suggested Solution to Exercise Find the tangent hyperplane passing the given point P on each of the graphs: (a)

Summer 2017 MATH Suggested Solution to Exercise Find the tangent hyperplane passing the given point P on each of the graphs: (a) Smmer 2017 MATH2010 1 Sggested Soltion to Exercise 6 1 Find the tangent hyperplane passing the given point P on each of the graphs: (a) z = x 2 y 2 ; y = z log x z P (2, 3, 5), P (1, 1, 1), (c) w = sin(x

More information

GETTING STARTED WITH PYGAME ON THE RASPBERRY PI

GETTING STARTED WITH PYGAME ON THE RASPBERRY PI GETTING STARTED WITH PYGAME ON THE RASPBERRY PI Worksheet And Cheat Sheet.technoisaledcation.co.k This resorce is copyright TechnoVisal Limited 2017 bt permission is gien to freely copy for edcational

More information

5 Performance Evaluation

5 Performance Evaluation 5 Performance Evalation his chapter evalates the performance of the compared to the MIP, and FMIP individal performances. We stdy the packet loss and the latency to restore the downstream and pstream of

More information

Network layer. Two Key Network-Layer Functions. Datagram Forwarding table. IP datagram format. IP Addressing: introduction

Network layer. Two Key Network-Layer Functions. Datagram Forwarding table. IP datagram format. IP Addressing: introduction Netork laer transport segment sending to receiing host on sending side encapslates segments into grams on rcing side, deliers segments to transport laer laer protocols in eer host, roter roter eamines

More information

Math 2130 Practice Problems Sec Name. Change the Cartesian integral to an equivalent polar integral, and then evaluate.

Math 2130 Practice Problems Sec Name. Change the Cartesian integral to an equivalent polar integral, and then evaluate. Math 10 Practice Problems Sec 1.-1. Name Change the Cartesian integral to an equivalent polar integral, and then evaluate. 1) 5 5 - x dy dx -5 0 A) 5 B) C) 15 D) 5 ) 0 0-8 - 6 - x (8 + ln 9) A) 1 1 + x

More information

Picking and Curves Week 6

Picking and Curves Week 6 CS 48/68 INTERACTIVE COMPUTER GRAPHICS Picking and Crves Week 6 David Breen Department of Compter Science Drexel University Based on material from Ed Angel, University of New Mexico Objectives Picking

More information

Digital Image Processing Chapter 5: Image Restoration

Digital Image Processing Chapter 5: Image Restoration Digital Image Processing Chapter 5: Image Restoration Concept of Image Restoration Image restoration is to restore a degraded image back to the original image while image enhancement is to maniplate the

More information

Math 365 Wednesday 4/10/ & 10.2 Graphs

Math 365 Wednesday 4/10/ & 10.2 Graphs Math 365 Wednesda 4/10/19 10.1 & 10.2 Graphs Eercise 44. (Relations and digraphs) For each the relations in Eercise 43(a), dra the corresponding directed graph here V = {0, 1, 2, 3} and a! b if a b. What

More information

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6 Polar Coordinates Any point in the plane can be described by the Cartesian coordinates (x, y), where x and y are measured along the corresponding axes. However, this is not the only way to represent points

More information

3. The three points (2, 4, 1), (1, 2, 2) and (5, 2, 2) determine a plane. Which of the following points is in that plane?

3. The three points (2, 4, 1), (1, 2, 2) and (5, 2, 2) determine a plane. Which of the following points is in that plane? Math 4 Practice Problems for Midterm. A unit vector that is perpendicular to both V =, 3, and W = 4,, is (a) V W (b) V W (c) 5 6 V W (d) 3 6 V W (e) 7 6 V W. In three dimensions, the graph of the equation

More information

Chapter 5: Introduction to Differential Analysis of Fluid Motion

Chapter 5: Introduction to Differential Analysis of Fluid Motion Chapter 5: Introduction to Differential 5-1 Conservation of Mass 5-2 Stream Function for Two-Dimensional 5-3 Incompressible Flow 5-4 Motion of a Fluid Particle (Kinematics) 5-5 Momentum Equation 5-6 Computational

More information

Degraded digital image restoration Spatial domain processing Additive noise Frequency domain Blurred image

Degraded digital image restoration Spatial domain processing Additive noise Frequency domain Blurred image Image Comm. Lab EE/NTHU 1 Chapter 5 Image Restoration Degraded digital image restoration Spatial domain processing Additie noise Freqency domain Blrred image Image Comm. Lab EE/NTHU 2 5. 1 Model of Image

More information

Chapter 4 FLUID KINEMATICS

Chapter 4 FLUID KINEMATICS Fluid Mechanics: Fundamentals and Applications, 2nd Edition Yunus A. Cengel, John M. Cimbala McGraw-Hill, 2010 Chapter 4 FLUID KINEMATICS Lecture slides by Hasan Hacışevki Copyright The McGraw-Hill Companies,

More information

Flow Visualization with Integral Surfaces

Flow Visualization with Integral Surfaces Flow Visualization with Integral Surfaces Visual and Interactive Computing Group Department of Computer Science Swansea University R.S.Laramee@swansea.ac.uk 1 1 Overview Flow Visualization with Integral

More information

IMAGE ENHANCEMENT IN THE FREQUENCY DOMAIN (1)

IMAGE ENHANCEMENT IN THE FREQUENCY DOMAIN (1) KOM3 Image Processing in Indstrial Systems Dr Mharrem Mercimek IMAGE ENHANCEMENT IN THE FREQUENCY DOMAIN KOM3 Image Processing in Indstrial Systems Some of the contents are adopted from R. C. Gonzalez

More information

An Extended Fault-Tolerant Link-State Routing Protocol in the Internet

An Extended Fault-Tolerant Link-State Routing Protocol in the Internet An Extended Falt-Tolerant Link-State Roting Protocol in the Internet Jie W, Xiaola Lin, Jiannong Cao z, and Weijia Jia x Department of Compter Science and Engineering Florida Atlantic Uniersit Boca Raton,

More information

Spatial domain: Enhancement in the case of a single image

Spatial domain: Enhancement in the case of a single image Unit-6 Spatial domain: Enhancement in the case of a single image Spatial masks Man image enhancement techniqes are based on spatial operations performed on local neighborhoods of inpt piels. The image

More information

On Plane Constrained Bounded-Degree Spanners

On Plane Constrained Bounded-Degree Spanners On Plane Constrained Bonded-Degree Spanners Prosenjit Bose 1, Rolf Fagerberg 2, André an Renssen 1, Sander Verdonschot 1 1 School of Compter Science, Carleton Uniersity, Ottaa, Canada. Email: jit@scs.carleton.ca,

More information

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals)

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals) MA 43 Calculus III Fall 8 Dr. E. Jacobs Assignments Reading assignments are found in James Stewart s Calculus (Early Transcendentals) Assignment. Spheres and Other Surfaces Read. -. and.6 Section./Problems

More information

Fixed-Parameter Algorithms for Cluster Vertex Deletion

Fixed-Parameter Algorithms for Cluster Vertex Deletion Fixed-Parameter Algorithms for Clster Vertex Deletion Falk Hüffner Christian Komsieicz Hannes Moser Rolf Niedermeier Institt für Informatik, Friedrich-Schiller-Uniersität Jena, Ernst-Abbe-Platz 2, D-07743

More information

Stereopsis Raul Queiroz Feitosa

Stereopsis Raul Queiroz Feitosa Stereopsis Ral Qeiroz Feitosa 5/24/2017 Stereopsis 1 Objetie This chapter introdces the basic techniqes for a 3 dimensional scene reconstrction based on a set of projections of indiidal points on two calibrated

More information

Towards Tight Bounds on Theta-Graphs

Towards Tight Bounds on Theta-Graphs Toards Tight Bonds on Theta-Graphs arxiv:10.633v1 [cs.cg] Apr 01 Prosenjit Bose Jean-Lo De Carfel Pat Morin André van Renssen Sander Verdonschot Abstract We present improved pper and loer bonds on the

More information

EECS 487: Interactive Computer Graphics f

EECS 487: Interactive Computer Graphics f Interpolating Key Vales EECS 487: Interactive Compter Graphics f Keys Lectre 33: Keyframe interpolation and splines Cbic splines The key vales of each variable may occr at different frames The interpolation

More information

Using Integral Surfaces to Visualize CFD Data

Using Integral Surfaces to Visualize CFD Data Using Integral Surfaces to Visualize CFD Data Tony Mcloughlin, Matthew Edmunds,, Mark W. Jones, Guoning Chen, Eugene Zhang 1 1 Overview Flow Visualization with Integral Surfaces: Introduction to flow visualization

More information

Announcements. Motion. Motion. Continuous Motion. Background Subtraction

Announcements. Motion. Motion. Continuous Motion. Background Subtraction Annoncements Motion CSE 5A Lectre 13 Homework is de toda, 11:59 PM Reading: Section 10.6.1: Optical Flow and Motion Section 10.6.: Flow Models Introdctor echniqes or 3-D Compter Vision, rcco and Verri

More information

Networks An introduction to microcomputer networking concepts

Networks An introduction to microcomputer networking concepts Behavior Research Methods& Instrmentation 1978, Vol 10 (4),522-526 Networks An introdction to microcompter networking concepts RALPH WALLACE and RICHARD N. JOHNSON GA TX, Chicago, Illinois60648 and JAMES

More information

Vector Visualisation 1. global view

Vector Visualisation 1. global view Vector Field Visualisation : global view Visualisation Lecture 12 Institute for Perception, Action & Behaviour School of Informatics Vector Visualisation 1 Vector Field Visualisation : local & global Vector

More information

FINITE ELEMENT APPROXIMATION OF CONVECTION DIFFUSION PROBLEMS USING GRADED MESHES

FINITE ELEMENT APPROXIMATION OF CONVECTION DIFFUSION PROBLEMS USING GRADED MESHES FINITE ELEMENT APPROXIMATION OF CONVECTION DIFFUSION PROBLEMS USING GRADED MESHES RICARDO G. DURÁN AND ARIEL L. LOMBARDI Abstract. We consider the nmerical approximation of a model convection-diffsion

More information

Today. B-splines. B-splines. B-splines. Computergrafik. Curves NURBS Surfaces. Bilinear patch Bicubic Bézier patch Advanced surface modeling

Today. B-splines. B-splines. B-splines. Computergrafik. Curves NURBS Surfaces. Bilinear patch Bicubic Bézier patch Advanced surface modeling Comptergrafik Matthias Zwicker Uniersität Bern Herbst 29 Cres Srfaces Parametric srfaces Bicbic Bézier patch Adanced srface modeling Piecewise Bézier cres Each segment spans for control points Each segment

More information

Curved Edge Physics. Erik Neumann September 4, 2015

Curved Edge Physics. Erik Neumann September 4, 2015 Cured Edge Physics Erik Neumann erikn@myphysicslab.com September 4, 2015 1 Introduction We derie the physics of 2 dimensional rigid bodies with cured edges for calculating contact forces in a rigid body

More information

Mathematica(l) Roller Coasters

Mathematica(l) Roller Coasters Mathematica(l) Roller Coasters Selwyn Hollis Department of Mathematics Armstrong Atlantic State University Savannah, GA 31419 shollis@armstrong.ed à Introdction Mathematica animations that simlate roller

More information

the lines of the solution obtained in for the twodimensional for an incompressible secondorder

the lines of the solution obtained in for the twodimensional for an incompressible secondorder Flow of an Incompressible Second-Order Fluid past a Body of Revolution M.S.Saroa Department of Mathematics, M.M.E.C., Maharishi Markandeshwar University, Mullana (Ambala), Haryana, India ABSTRACT- The

More information

Multi-Way Search Tree ( ) (2,4) Trees. Multi-Way Inorder Traversal. Multi-Way Search Tree ( ) Multi-Way Searching. Multi-Way Searching

Multi-Way Search Tree ( ) (2,4) Trees. Multi-Way Inorder Traversal. Multi-Way Search Tree ( ) Multi-Way Searching. Multi-Way Searching Mlti-Way Search Tree ( 0..) (,) Trees 9 5 7 0 (,) Trees (,) Trees Mlti-Way Search Tree ( 0..) A mlti-ay search tree is an ordered tree sch that Each internal node has at least to children and stores d

More information

Review. A single-cycle MIPS processor

Review. A single-cycle MIPS processor Review If three instrctions have opcodes, 7 and 5 are they all of the same type? If we were to add an instrction to IPS of the form OD $t, $t2, $t3, which performs $t = $t2 OD $t3, what wold be its opcode?

More information

1 Vector Functions and Space Curves

1 Vector Functions and Space Curves ontents 1 Vector Functions and pace urves 2 1.1 Limits, Derivatives, and Integrals of Vector Functions...................... 2 1.2 Arc Length and urvature..................................... 2 1.3 Motion

More information

Real-Time Robot Path Planning via a Distance-Propagating Dynamic System with Obstacle Clearance

Real-Time Robot Path Planning via a Distance-Propagating Dynamic System with Obstacle Clearance POSTPRINT OF: IEEE TRANS. SYST., MAN, CYBERN., B, 383), 28, 884 893. 1 Real-Time Robot Path Planning ia a Distance-Propagating Dynamic System with Obstacle Clearance Allan R. Willms, Simon X. Yang Member,

More information

Object Pose from a Single Image

Object Pose from a Single Image Object Pose from a Single Image How Do We See Objects in Depth? Stereo Use differences between images in or left and right eye How mch is this difference for a car at 00 m? Moe or head sideways Or, the

More information

Chapter 5. Plane Graphs and the DCEL

Chapter 5. Plane Graphs and the DCEL Chapter 5 Plane Graphs and the DCEL So far we hae been talking abot geometric strctres sch as trianglations of polygons and arrangements of line segments withot paying mch attention to how to represent

More information

Lecture overview. Visualisatie BMT. Vector algorithms. Vector algorithms. Time animation. Time animation

Lecture overview. Visualisatie BMT. Vector algorithms. Vector algorithms. Time animation. Time animation Visualisatie BMT Lecture overview Vector algorithms Tensor algorithms Modeling algorithms Algorithms - 2 Arjan Kok a.j.f.kok@tue.nl 1 2 Vector algorithms Vector 2 or 3 dimensional representation of direction

More information

CSCE 155N Spring Homework Assignment 3: Coordinates Transformation Tool 1. Assigned: February 15, 2013 Due: March 8, 2013

CSCE 155N Spring Homework Assignment 3: Coordinates Transformation Tool 1. Assigned: February 15, 2013 Due: March 8, 2013 CSCE N Spring 0 Homework Assignment : Coordinates Transformation Tool Assigned: Febrary 0 De: Marh 8 0 Note: This assignment is to be ompleted indiidally - ollaboration is stritly prohibited. Points: 00

More information

Chapter 5 Partial Differentiation

Chapter 5 Partial Differentiation Chapter 5 Partial Differentiation For functions of one variable, y = f (x), the rate of change of the dependent variable can dy be found unambiguously by differentiation: f x. In this chapter we explore

More information

10.2 Solving Quadratic Equations by Completing the Square

10.2 Solving Quadratic Equations by Completing the Square . Solving Qadratic Eqations b Completing the Sqare Consider the eqation We can see clearl that the soltions are However, What if the eqation was given to s in standard form, that is 6 How wold we go abot

More information

7. Texture Mapping. Idea. Examples Image Textures. Motivation. Textures can be images or procedures. Textures can be 2D or 3D

7. Texture Mapping. Idea. Examples Image Textures. Motivation. Textures can be images or procedures. Textures can be 2D or 3D 3 4 Idea Add srface detail withot raising geometric complexity Textres can be images or procedres Textres can be D or 3D Motiation Wireframe Model + Lighting & Shading + Textre Mapping http://www.3drender.com/jbirn/prodctions.html

More information

FLUID MECHANICS TESTS

FLUID MECHANICS TESTS FLUID MECHANICS TESTS Attention: there might be more correct answers to the questions. Chapter 1: Kinematics and the continuity equation T.2.1.1A flow is steady if a, the velocity direction of a fluid

More information

Cutting Cycles of Rods in Space: Hardness and Approximation

Cutting Cycles of Rods in Space: Hardness and Approximation Ctting Cycles of Rods in Space: Hardness and pproximation oris rono ark de erg Chris Gray Elena mford bstract We stdy the problem of ctting a set of rods (line segments in R 3 ) into fragments, sing a

More information

Assignments. Computer Networks LECTURE 7 Network Layer: Routing and Addressing. Network Layer Function. Internet Architecture

Assignments. Computer Networks LECTURE 7 Network Layer: Routing and Addressing. Network Layer Function. Internet Architecture ompter Netorks LETURE Netork Laer: Roting and ddressing ssignments Project : Web Pro Serer DUE OT Sandha Darkadas Department of ompter Science Uniersit of Rochester Internet rchitectre Bottom-p: phsical:

More information

A RECOGNITION METHOD FOR AIRPLANE TARGETS USING 3D POINT CLOUD DATA

A RECOGNITION METHOD FOR AIRPLANE TARGETS USING 3D POINT CLOUD DATA A RECOGNITION METHOD FOR AIRPLANE TARGETS USING 3D POINT CLOUD DATA Mei Zho*, Ling-li Tang, Chan-rong Li, Zhi Peng, Jing-mei Li Academy of Opto-Electronics, Chinese Academy of Sciences, No.9, Dengzhang

More information

Review Multicycle: What is Happening. Controlling The Multicycle Design

Review Multicycle: What is Happening. Controlling The Multicycle Design Review lticycle: What is Happening Reslt Zero Op SrcA SrcB Registers Reg Address emory em Data Sign etend Shift left Sorce A B Ot [-6] [5-] [-6] [5-] [5-] Instrction emory IR RegDst emtoreg IorD em em

More information

Measurement of Flow Rate, Velocity Profile and Friction Factor in Pipe Flows S. Ghosh, M. Muste, M. Wilson, S. Breczinski, and F.

Measurement of Flow Rate, Velocity Profile and Friction Factor in Pipe Flows S. Ghosh, M. Muste, M. Wilson, S. Breczinski, and F. 57:00 Mechanics o Flids and Transer Processes Exercise Notes or the Pipe Flo TM Measrement o Flo Rate, Velocity Proile and Friction Factor in Pipe Flos S. Ghosh, M. Mste, M. Wilson, S. recinski, and F.

More information

FPGA IMPLEMENTATION OF ADAPTIVE TEMPORAL KALMAN FILTER FOR REAL TIME VIDEO FILTERING March 15, 1999

FPGA IMPLEMENTATION OF ADAPTIVE TEMPORAL KALMAN FILTER FOR REAL TIME VIDEO FILTERING March 15, 1999 FPGA IMPLEMENTATION OF ADAPTIVE TEMPORAL KALMAN FILTER FOR REAL TIME VIDEO FILTERING March 15, 1999 Robert D. Turney +, Ali M. Reza, and Justin G. R. Dela + CORE Solutions Group, Xilinx San Jose, CA 9514-3450,

More information

The multicycle datapath. Lecture 10 (Wed 10/15/2008) Finite-state machine for the control unit. Implementing the FSM

The multicycle datapath. Lecture 10 (Wed 10/15/2008) Finite-state machine for the control unit. Implementing the FSM Lectre (Wed /5/28) Lab # Hardware De Fri Oct 7 HW #2 IPS programming, de Wed Oct 22 idterm Fri Oct 2 IorD The mlticycle path SrcA Today s objectives: icroprogramming Etending the mlti-cycle path lti-cycle

More information

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6. ) is graphed below:

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6. ) is graphed below: Polar Coordinates Any point in the plane can be described by the Cartesian coordinates (x, y), where x and y are measured along the corresponding axes. However, this is not the only way to represent points

More information

Towards applications based on measuring the orbital angular momentum of light

Towards applications based on measuring the orbital angular momentum of light CHAPTER 8 Towards applications based on measring the orbital anglar momentm of light Efficient measrement of the orbital anglar momentm (OAM) of light has been a longstanding problem in both classical

More information

METAPOST and the FIIT Logo

METAPOST and the FIIT Logo METAPOST and the FIIT Logo Matej KOŠÍK Slovak University of Technology Faclty of Informatics and Information Technologies Ilkovičova 3, 842 16 Bratislava, Slovakia kosik@fiit.stba.sk 1 The Tools Abstract.

More information

tpa, bq a b is a multiple of 5 u tp0, 0q, p0, 5q, p0, 5q,...,

tpa, bq a b is a multiple of 5 u tp0, 0q, p0, 5q, p0, 5q,..., A binar relation on a set A is a sbset of A ˆ A, hereelements pa, bq are ritten as a b. For eample, let A Z, so A ˆ A tpn, mq n, m P Z. Let be the binar relation gien b a b if and onl if a and b hae the

More information

Chapter 4: Network Layer

Chapter 4: Network Layer Chapter 4: Introdction (forarding and roting) Reie of qeeing theor Roting algorithms Link state, Distance Vector Roter design and operation IP: Internet Protocol IP4 (datagram format, addressing, ICMP,

More information

Relation between total and partial derivatives

Relation between total and partial derivatives Relation between total and partial derivatives!"!# = &" &# + c&" &', where Q is a field variable c is the speed of an observer/probe s is position along the probe s trajectory (that is, a 3-D natural coordinate)

More information

Investigation of turbulence measurements with a continuous wave, conically scanning LiDAR Abstract 1. Introduction

Investigation of turbulence measurements with a continuous wave, conically scanning LiDAR Abstract 1. Introduction Investigation of trblence measrements with a continos wave, conically scanning LiDAR Rozenn Wagner 1, Torben Mikkelsen 1, Michael Cortney Risø DTU, PO Box 49,DK4000 Roskilde, Denmark rozn@risoe.dt.dk Abstract

More information

Topic 5.1: Line Elements and Scalar Line Integrals. Textbook: Section 16.2

Topic 5.1: Line Elements and Scalar Line Integrals. Textbook: Section 16.2 Topic 5.1: Line Elements and Scalar Line Integrals Textbook: Section 16.2 Warm-Up: Derivatives of Vector Functions Suppose r(t) = x(t) î + y(t) ĵ + z(t) ˆk parameterizes a curve C. The vector: is: r (t)

More information

EFFECTS OF OPTICALLY SHALLOW BOTTOMS ON WATER-LEAVING RADIANCES. Curtis D. Mobley and Lydia Sundman Sequoia Scientific, Inc. th

EFFECTS OF OPTICALLY SHALLOW BOTTOMS ON WATER-LEAVING RADIANCES. Curtis D. Mobley and Lydia Sundman Sequoia Scientific, Inc. th EFFECTS OF OPTICALLY SHALLOW BOTTOMS ON WATER-LEAVING RADIANCES Crtis D. Mobley and Lydia Sndman Seqoia Scientific, Inc. th 15317 NE 90 Street Redmond, WA 98052 USA mobley@seqoiasci.com phone: 425-867-2464

More information

Maximal Cliques in Unit Disk Graphs: Polynomial Approximation

Maximal Cliques in Unit Disk Graphs: Polynomial Approximation Maximal Cliqes in Unit Disk Graphs: Polynomial Approximation Rajarshi Gpta, Jean Walrand, Oliier Goldschmidt 2 Department of Electrical Engineering and Compter Science Uniersity of California, Berkeley,

More information

Math 126 Winter CHECK that your exam contains 8 problems.

Math 126 Winter CHECK that your exam contains 8 problems. Math 126 Winter 2016 Your Name Your Signature Student ID # Quiz Section Professor s Name TA s Name CHECK that your exam contains 8 problems. This exam is closed book. You may use one 8 1 11 sheet of hand-written

More information