Three Lorentz Transformations. Considering Two Rotations

Size: px
Start display at page:

Download "Three Lorentz Transformations. Considering Two Rotations"

Transcription

1 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, Vidasagar Uniersit West Bengal, India Abstrat A formlation for ombination of three orentz transformations onsidering to rotations has been deeloped in this paper. This proedre phsiall means the omposition of three linear eloities in different diretions reslting in a single eloit. The same proess has been applied to a partile or bod possessing three simltaneos rotational motions haing mtal effets. This leads to the assmption that a bod ma possess three simltaneos sperimposed spins. Ke ords: sperimposed rotational motions, sperimposed spins.. Introdtion One of the basi qestions in orentz transformation is eloit addition. Aording to Einstein s relatiisti theorem, e hae the ell knon formla of o-linear eloit addition[], ( ) /( / ). Møller extended this approah to deelop the eloit addition formla for ombining to eloities in different diretions in planar motion []. Chandra Ier and G.M Probh desribe the transformation for omposition of to orentz boosts in different diretions in plane []. This means the omposition of to eloities and reslting in a single eloit. In this paper e first deelop the transformations ielding a * Commniation address : Satmile High Shool, P. O. Satmile 7, W. B., India

2 M. C. Das and. Misra single resltant orentz boost throgh a proper a. We extend this to ompose three sperimposed motions in different diretions into a resltant eloit and folloing this onstrtie method e sho that a bod or partile ma possess three simltaneos sperimposed spins.. Transformations In this setion e ant to derie the matrix for a onentional orenz transformation folloed b a planar rotation of the XY plane and then x folloed b another onentional orenz transformation folloed b a planar rotation of the XY plane ( ) onentional orenz transformation x x hih is again and then b another. For larit, e ma isalize six inertial frames S, S, S, S, S and S in three dimensional spae. Frames S and S hae both their o-ordinate axes aligned and S is moing at a eloit along X axis as obsered b S. The inertial frame S has another o-ordinate referene frame S, here X axis of, S are rotated b an angle onter lokise ith respet to S on XY plane. Frames S and S hae both their o-ordinate axes aligned and S is moing at a eloit along X axis as obsered b S. The inertial frame S has another oordinate referene frame S here X axis of S are rotated b an angle onter lokise ith respet to S on XY plane. Frames S and S hae both their o-ordinate axes aligned and S is moing at a eloit along X axis as obsered b S. Then the transformation of o-ordinates of an eent from frame S to frame S is gien b order matrix M ij hih is eqal to the matrix prodt. x xz x x( ) x.the matrix x,, x( ) x, xz( ) and x, are as speified in (), (), (), () and () respetiel

3 orentz transformations x x x os sin x sin os (), z z z z t t t t () x x x os sin x (), z z z sin os z t t t t () x x z z t t () The inerse of this operation is gien b N x x x xz x ij Matries M ij and N ij trn ot as M ij x xz x x x os sin sin os os sin sin os =

4 M. C. Das and. Misra os ( os ( sin ( os os os sin os sinos ) ) osos ) sin os sin sin ( ( sin sin sin os sin os ) ossin ) os ( os ( os ( sin sin os os sinos ) os os ) os ) (6) Similarl N = ij x x x xz x os sin sin os os sin sin os

5 orentz transformations (os os ( os (sin os os os sin sin ) os os os ) ) (sin os ( sin sin os sin sin ) sinos ) sin os sin os ( os ( os sin ( sin os os ossin ) os os ) os ) (7). esltant eloit de to omposition of three eloities For omposition of three eloities e ma isalize six inertial frames as disssed in setion- here, the o-ordinate of an eent at an point on S ith respet to S old be ritten as H N K (8) ij here, H x z t, K x z t Eqation (8) gies the relations as

6 M. C. Das and. Misra x N x N N z N t N x N N z N t z N x N N z N t t N x N N z N t (9) From spherial oordinate sstem one an also rite dx dt d dt dz dt sin(9 ) os os os sin(9 ) sin sin os () os(9 ) sin Folloing eqations (9) and () e old find ot the resltant eloit ' G ' of the eent of S as obsered b S, hose magnitde also an be ealated b onsidering the motion of the origin of S ( x,, z ) as dx d dz G dt dt dt () This ma be ritten as here, G P Q T P N os os N sin os N sin N Q N os os N sin os N sin N N os os N sin os N sin N T N os os N sin os N sin N () When 9 then the resltant eloit G old be gien b G ( ) ()

7 orentz transformations. esltant eloit de to three rotational motions From the aboe disssion it is seen that,, and are the eloities in three different diretions here, angle beteen and is, beteen and is and that beteen and is hih depends on and. In that sense for omposition or addition of three simltaneos sperimposed rotational motions e an onsider the eloit addition formla (). For larit e ma isalize six inertial frames as disssed in setion-, bt S, S and S don t moe ith retilinear motion. The moe onl ith anglar eloit, and respetiel, abot X, X and X axes as obsered b S and others (i.e. S, S and S ) be same as disssed in setion-, When origins of frames are same ith respet to S, then the resltant eloit of an eent of S ill be same as G in () as obsered b S here, r, r and r beome separatel relatiisti eloities and r is the position etor of the eent in S. It is to be mentioned that if a bod or partile be present at the origin of S then it ill possess three simltaneos sperimposed spins as obsered b S.. Conlsions The aboe deriations and disssions reeal the field of relatiisti effets on a bod de to three motions. The expression for resltant eloit shos that it is dependent pon all the linear eloities arising from the rotations (iz.eqation ()) eferenes [] obert esnik, Introdtion to Speial elatiit, 9, p.8 ISBN [] Møller C., The theor of elatiit, Oxford Uniersit press, Oxford, 9, - [] Chandr Ier, and G.M. Prabh, Composition of to orenz boosts throgh spatial and Spae-time rotations, Jornal of Phsial and Natral Sienes Vol., (7), no. eeied: September,

[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

Projections. Let us start with projections in 2D, because there are easier to visualize.

Projections. Let us start with projections in 2D, because there are easier to visualize. Projetions Let us start ith projetions in D, beause there are easier to visualie. Projetion parallel to the -ais: Ever point in the -plane ith oordinates (, ) ill be transformed into the point ith oordinates

More information

KINEMATICS OF FLUID MOTION

KINEMATICS OF FLUID MOTION 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

More information

ANNALS of Faculty Engineering Hunedoara International Journal of Engineering

ANNALS of Faculty Engineering Hunedoara International Journal of Engineering ANNALS of Falt Engineering Hnedoara International Jornal of Engineering Tome XIII [15] Fasile 4 [Noember] ISSN: 1584-673 [CD-Rom; online] a free-aess mltidisiplinar pbliation of the Falt of Engineering

More information

The Alpha Torque and Quantum Physics

The Alpha Torque and Quantum Physics The Alpha Torque and Quantum Physis Zhiliang Cao, Henry Cao williamao15000@yahoo.om, henry.gu.ao@gmail.om July 18, 010 Abstrat In the enter of the unierse, there isn t a super massie blak hole or any speifi

More information

Recall: Function Calls to Create Transform Matrices

Recall: Function Calls to Create Transform Matrices Reall: Fntion Calls to Create Transform Matries Previosl made fntion alls to generate 44 matries for identit, translate, sale, rotate transforms Pt transform matri into CTM Eample mat4 m = Identit(; CTM

More information

Control of industrial robots. Control with vision sensors

Control of industrial robots. Control with vision sensors Control of indstrial robots Control with ision sensors Prof. Paolo Roo (paolo.roo@polimi.it) Politenio di Milano Dipartimento di Elettronia Informazione e Bioingegneria Visal measrements Artifiial ision

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

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating Original Artile Partile Swarm Optimization for the Design of High Diffration Effiient Holographi Grating A.K. Tripathy 1, S.K. Das, M. Sundaray 3 and S.K. Tripathy* 4 1, Department of Computer Siene, Berhampur

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

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

CSCE 155N Fall Homework Assignment 3: Coordinates Transformation Tool 1. Assigned: September 29, 2016 Due: October 20, 2016

CSCE 155N Fall Homework Assignment 3: Coordinates Transformation Tool 1. Assigned: September 29, 2016 Due: October 20, 2016 CSCE N Fall 0 Homework Assignment : Coordinates Transformation Tool Assigned: September 9 0 De: Otober 0 0 Note: This assignment is to be ompleted in grops of or Points: 00 points Objeties Memo To: 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

On the Kinematics of Undulator Girder Motion

On the Kinematics of Undulator Girder Motion LCLS-TN-09-02 On the Kinematics of Undulator Girder Motion J. Welch March 23, 2010 The theor of rigid bod kinematics is used to derive equations that govern the control and measurement of the position

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

Conceptual Design of Planar Retainer Mechanisms for Bottom-Opening SMIF Environment

Conceptual Design of Planar Retainer Mechanisms for Bottom-Opening SMIF Environment Proceedings of the th World Congress in Mechanism and Machine Science August 8~, 003, Tianjin, China China Machiner Press, edited b Tian Huang Conceptual Design of Planar Retainer Mechanisms for Bottom-Opening

More information

Video Seamless Splicing Method Based on SURF Algorithm and Harris Corner Points Detection

Video Seamless Splicing Method Based on SURF Algorithm and Harris Corner Points Detection Vol13 (Softech 016), pp138-14 http://dxdoiorg/101457/astl016137 Video Seamless Splicing Method Based on SURF Algorithm and Harris Corner Points Detection Dong Jing 1, Chen Dong, Jiang Shuen 3 1 College

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

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

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

Chapter 1. Turtle Graphics. 1.1 Turtle Graphics. The turtle and the crane and the swallow observe the time of their coming Jeremiah 8:7

Chapter 1. Turtle Graphics. 1.1 Turtle Graphics. The turtle and the crane and the swallow observe the time of their coming Jeremiah 8:7 Goldman/An Integrated Introduction to Computer Graphics and Geometric Modeling K10188_C001 Revise Proof page 3 26.3.2009 7:54am Compositor Name: VAmoudavally Chapter 1 Turtle Graphics The turtle and the

More information

CMSC 828D: Fundamentals of Computer Vision Homework 7

CMSC 828D: Fundamentals of Computer Vision Homework 7 CMSC 828D: Homework 7 Instrctors: Larr Dais, Ramani Draiswami, Daniel DeMenthon, and Yiannis Aloimonos Soltion based on homework sbmitted b Haiing Li 1. Write a Matlab fnction that otpts the homogeneos

More information

On New Sorting-Based Lossless Motion Estimation Algorithms

On New Sorting-Based Lossless Motion Estimation Algorithms On New Sorting-Based Lossless Motion Estimation Algorithms D. QUAGLIA, M. PERGA, B. MONTRUCCHIO, P. MONTUSCHI Dipartimento di Atomatia e Informatia Politenio di Torino Corso Da degli Abrzzi, 24 - I-029

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

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

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

F dr = f dx + g dy + h dz. Using that dz = q x dx + q y dy we get. (g + hq y ) x (f + hq x ) y da.

F dr = f dx + g dy + h dz. Using that dz = q x dx + q y dy we get. (g + hq y ) x (f + hq x ) y da. Math 55 - Vector alculus II Notes 14.7 tokes Theorem tokes Theorem is the three-dimensional version of the circulation form of Green s Theorem. Let s quickly recall that theorem: Green s Theorem: Let be

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007

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

Self-Location of a Mobile Robot with uncertainty by cooperation of an heading sensor and a CCD TV camera

Self-Location of a Mobile Robot with uncertainty by cooperation of an heading sensor and a CCD TV camera Self-oation of a Mobile Robot ith unertainty by ooperation of an heading sensor and a CCD TV amera E. Stella, G. Ciirelli, A. Distante Istituto Elaborazione Segnali ed Immagini - C.N.R. Via Amendola, 66/5-706

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

On the complexity of Submap Isomorphism

On the complexity of Submap Isomorphism On the compleit of Sbmap Isomorphism Christine Solnon 1,2, Gillame Damiand 1,2, Colin de la Higera 3, and Jean-Christophe Janodet 4 1 INSA de Lon, LIRIS, UMR 5205 CNRS, 69621 Villerbanne, France 2 Université

More information

Lecture 1: Turtle Graphics. the turtle and the crane and the swallow observe the time of their coming; Jeremiah 8:7

Lecture 1: Turtle Graphics. the turtle and the crane and the swallow observe the time of their coming; Jeremiah 8:7 Lecture 1: Turtle Graphics the turtle and the crane and the sallo observe the time of their coming; Jeremiah 8:7 1. Turtle Graphics Motion generates geometry. The turtle is a handy paradigm for investigating

More information

2D Object Definition (1/3)

2D Object Definition (1/3) 2D Object Definition (1/3) Lines and Polylines Lines drawn between ordered points to create more complex forms called polylines Same first and last point make closed polyline or polygon Can intersect itself

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

Computer Graphics. Geometric Transformations

Computer Graphics. Geometric Transformations Contents coordinate sstems scalar values, points, vectors, matrices right-handed and left-handed coordinate sstems mathematical foundations transformations mathematical descriptions of geometric changes,

More information

Computer Graphics. Geometric Transformations

Computer Graphics. Geometric Transformations Computer Graphics Geometric Transformations Contents coordinate sstems scalar values, points, vectors, matrices right-handed and left-handed coordinate sstems mathematical foundations transformations mathematical

More information

15.4 Constrained Maxima and Minima

15.4 Constrained Maxima and Minima 15.4 Constrained Maxima and Minima Question 1: Ho do ou find the relative extrema of a surface hen the values of the variables are constrained? Question : Ho do ou model an optimization problem ith several

More information

3D Coordinate Transformation Calculations. Space Truss Member

3D Coordinate Transformation Calculations. Space Truss Member 3D oordinate Transformation alculations Transformation of the element stiffness equations for a space frame member from the local to the global coordinate system can be accomplished as the product of three

More information

Scheduling Contract Algorithms on Multiple Processors

Scheduling Contract Algorithms on Multiple Processors Shedling Contrat Algorithms on Mltiple Proessors Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein Department of Compter Siene University of Massahsetts Amherst, MA 0100 bern,perkins,zilberstein

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

CSE528 Computer Graphics: Theory, Algorithms, and Applications

CSE528 Computer Graphics: Theory, Algorithms, and Applications CSE528 Computer Graphics: Theor, Algorithms, and Applications Hong Qin State Universit of New York at Ston Brook (Ston Brook Universit) Ston Brook, New York 794--44 Tel: (63)632-845; Fa: (63)632-8334 qin@cs.sunsb.edu

More information

APN-065: Determining Rotations for Inertial Explorer and SPAN

APN-065: Determining Rotations for Inertial Explorer and SPAN APN-065 Rev A APN-065: Determining Rotations for Inertial Explorer and SPAN Page 1 May 5, 2014 Both Inertial Explorer (IE) and SPAN use intrinsic -order Euler angles to define the rotation between the

More information

Motivation. General Idea. Goals. (Nonuniform) Scale. Outline. Foundations of Computer Graphics. s x Scale(s x. ,s y. 0 s y. 0 0 s z.

Motivation. General Idea. Goals. (Nonuniform) Scale. Outline. Foundations of Computer Graphics. s x Scale(s x. ,s y. 0 s y. 0 0 s z. Fondations of Compter Graphics Online Lectre 3: Transformations 1 Basic 2D Transforms Motivation Man different coordinate sstems in graphics World, model, bod, arms, To relate them, we mst transform between

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

Jacobians. 6.1 Linearized Kinematics. Y: = k2( e6)

Jacobians. 6.1 Linearized Kinematics. Y: = k2( e6) Jacobians 6.1 Linearized Kinematics In previous chapters we have seen how kinematics relates the joint angles to the position and orientation of the robot's endeffector. This means that, for a serial robot,

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

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints Smooth Trajetory Planning Along Bezier Curve for Mobile Robots with Veloity Constraints Gil Jin Yang and Byoung Wook Choi Department of Eletrial and Information Engineering Seoul National University of

More information

An Analysis of Interference as a Source for Diffraction

An Analysis of Interference as a Source for Diffraction J. Electromagnetic Analysis & Applications, 00,, 60-606 doi:0.436/jemaa.00.0079 Published Online October 00 (http://.scirp.org/journal/jemaa) 60 An Analysis of Interference as a Source for Diffraction

More information

Perspective Projection

Perspective Projection Perspectie Projection (Com S 477/77 Notes) Yan-Bin Jia Aug 9, 7 Introduction We now moe on to isualization of three-dimensional objects, getting back to the use of homogeneous coordinates. Current display

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

Gray Codes for Reflectable Languages

Gray Codes for Reflectable Languages Gray Codes for Refletable Languages Yue Li Joe Sawada Marh 8, 2008 Abstrat We lassify a type of language alled a refletable language. We then develop a generi algorithm that an be used to list all strings

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

REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel

REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel : A Streaming Algorithm of Approximating Global and Loal Triangle Conts in Parallel Pinghi Wang,, Peng Jia, Yiyan Qi, Y Sn, Jing Tao,,, and Xiaohong Gan,, MOE Key Laboratory for Intelligent Netorks and

More information

Notes. University of British Columbia

Notes. University of British Columbia Notes Drop-bo is no. 14 You can hand in our assignments Assignment 0 due Fri. 4pm Assignment 1 is out Office hours toda 16:00 17:00, in lab or in reading room Uniersit of Uniersit of Chapter 4 - Reminder

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

Geometric Model of Camera

Geometric Model of Camera Geometric Model of Camera Dr. Gerhard Roth COMP 42A Winter 25 Version 2 Similar Triangles 2 Geometric Model of Camera Perspective projection P(X,Y,Z) p(,) f X Z f Y Z 3 Parallel lines aren t 4 Figure b

More information

ME5286 Robotics Spring 2014 Quiz 1 Solution. Total Points: 30

ME5286 Robotics Spring 2014 Quiz 1 Solution. Total Points: 30 Page 1 of 7 ME5286 Robotics Spring 2014 Quiz 1 Solution Total Points: 30 (Note images from original quiz are not included to save paper/ space. Please see the original quiz for additional information and

More information

Interactive Order-Independent Transparency

Interactive Order-Independent Transparency Interative Order-Independent Transpareny Cass Everitt NVIDIA OpenGL Appliations Engineering ass@nvidia.om (a) (b) Figure. These images illustrate orret (a) and inorret (b) rendering of transparent surfaes.

More information

OPTI-202R Homework John E. Greivenkamp Spring ) An air-spaced triplet objective is comprised of three thin lenses in air:

OPTI-202R Homework John E. Greivenkamp Spring ) An air-spaced triplet objective is comprised of three thin lenses in air: Set #5 Assigned: De: 2/7/18 (Wed) 2/14/18 (Wed) MIDTERM I: Frida March 16 8:00-8:50 5-1) An air-spaced triplet objective is comprised of three thin lenses in air: Focal Length Spacing Lens 1 100 mm 25

More information

Analytical image reconstruction methods in emission tomography

Analytical image reconstruction methods in emission tomography J. Biomedical Science and Engineering, 23, 6, -7 JBiSE http://d.doi.org/.4236/jbise.23.63 Published Online Januar 23 (http://www.scirp.org/journal/jbise/) Analtical image reconstruction methods in emission

More information

Information Granulation: a Search for Data Structures

Information Granulation: a Search for Data Structures Information Granlation: a Searh for Data Strtres Witold PEDRYCZ * and Andrzej BARGIELA ** * University of Alberta, Edmonton, Canada * Syems Researh Initte, Polish Aademy of Sienes, Poland (pedryz@ee.alberta.a)

More information

CS 450: COMPUTER GRAPHICS 2D TRANSFORMATIONS SPRING 2016 DR. MICHAEL J. REALE

CS 450: COMPUTER GRAPHICS 2D TRANSFORMATIONS SPRING 2016 DR. MICHAEL J. REALE CS 45: COMUTER GRAHICS 2D TRANSFORMATIONS SRING 26 DR. MICHAEL J. REALE INTRODUCTION Now that we hae some linear algebra under our resectie belts, we can start ug it in grahics! So far, for each rimitie,

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

COMP Computer Graphics and Image Processing. a6: Projections. In part 2 of our study of Viewing, we ll look at. COMP27112 Toby Howard

COMP Computer Graphics and Image Processing. a6: Projections. In part 2 of our study of Viewing, we ll look at. COMP27112 Toby Howard Computer Graphics and Image Processing a6: Projections Tob.Howard@manchester.ac.uk Introduction In part 2 of our stud of Viewing, we ll look at The theor of geometrical planar projections Classes of projections

More information

Stereoscopic Motion Tracking in Biomedical Visualisation. Michael Cheng

Stereoscopic Motion Tracking in Biomedical Visualisation. Michael Cheng Stereosopi otion Traking in Biomedial Visalisation ihael Cheng This report is sbmitted as partial flfilment of the reqirements for the Gradate Diploma Programme of the Department of Compter Siene The Uniersity

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

Directed Rectangle-Visibility Graphs have. Abstract. Visibility representations of graphs map vertices to sets in Euclidean space and

Directed Rectangle-Visibility Graphs have. Abstract. Visibility representations of graphs map vertices to sets in Euclidean space and Direted Retangle-Visibility Graphs have Unbounded Dimension Kathleen Romanik DIMACS Center for Disrete Mathematis and Theoretial Computer Siene Rutgers, The State University of New Jersey P.O. Box 1179,

More information

Affine Transformations Computer Graphics Scott D. Anderson

Affine Transformations Computer Graphics Scott D. Anderson Affine Transformations Computer Graphics Scott D. Anderson 1 Linear Combinations To understand the poer of an affine transformation, it s helpful to understand the idea of a linear combination. If e have

More information

CS5620 Intro to Computer Graphics

CS5620 Intro to Computer Graphics CS56 and Quaternions Piar s Luo Jr. A New Dimension - Time 3 4 Principles of Traditional Specifing Anticipation Suash/Stretch Secondar Action 5 6 C. Gotsman, G. Elber,. Ben-Chen Page CS56 Keframes anual

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

Lecture Notes of Möbuis Transformation in Hyperbolic Plane

Lecture Notes of Möbuis Transformation in Hyperbolic Plane Applied Mathematis, 04, 5, 6-5 Published Online August 04 in SiRes http://wwwsirporg/journal/am http://dxdoiorg/0436/am04555 Leture Notes of Möbuis Transformation in Hyperboli Plane Rania B M Amer Department

More information

Detecting Moving Targets in Clutter in Airborne SAR via Keystoning and Multiple Phase Center Interferometry

Detecting Moving Targets in Clutter in Airborne SAR via Keystoning and Multiple Phase Center Interferometry Deteting Moving Targets in Clutter in Airborne SAR via Keystoning and Multiple Phase Center Interferometry D. M. Zasada, P. K. Sanyal The MITRE Corp., 6 Eletroni Parkway, Rome, NY 134 (dmzasada, psanyal)@mitre.org

More information

Geometric Transformations

Geometric Transformations CS INTRODUCTION TO COMPUTER GRAPHICS Geometric Transformations D and D Andries an Dam 9/9/7 /46 CS INTRODUCTION TO COMPUTER GRAPHICS How do we use Geometric Transformations? (/) Objects in a scene at the

More information

Given ABC with A(-1, 1), B(2, 4), and C(4, 1). Translate ABC left 4 units and up 1 unit. a) Vertex matrix: b) Algebraic (arrow) rule:

Given ABC with A(-1, 1), B(2, 4), and C(4, 1). Translate ABC left 4 units and up 1 unit. a) Vertex matrix: b) Algebraic (arrow) rule: Unit 7 Transformations 7 Rigid Motion in a Plane Transformation: The operation that maps, or moves, a preimage onto an image. Three basic transformations are reflection, rotation, and translation. Translation

More information

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 7 Fall, 2018

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 7 Fall, 2018 Assigned: 10/10/18 Lectre 15 De: 10/17/18 Lectre 17 Midterm Exam: Wednesda October 24 (Lectre 19) The eqation sheet for the exam has been posted on the corse website. This eqation sheet will be inclded

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

Image Warping, Compositing & Morphing

Image Warping, Compositing & Morphing Image Processing Image Warping, Compositing & Morphing Adam Finkelstein Princeton Uniersit COS 426, Spring 2005 Image Processing Qantization Uniform Qantization Random dither Ordered dither Flod-Steinberg

More information

MEM380 Applied Autonomous Robots Winter Robot Kinematics

MEM380 Applied Autonomous Robots Winter Robot Kinematics MEM38 Applied Autonomous obots Winter obot Kinematics Coordinate Transformations Motivation Ultimatel, we are interested in the motion of the robot with respect to a global or inertial navigation frame

More information

2D transformations and homogeneous coordinates

2D transformations and homogeneous coordinates 2D transformations and homogeneous coordinates Dr Nicolas Holzschuch Universit of Cape Ton e-mail: holzschu@cs.uct.ac.za Map of the lecture Transformations in 2D: vector/matri notation eample: translation,

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

3D Surface Plots with Groups

3D Surface Plots with Groups Chapter 942 3D Surface Plots with Groups Introduction In PASS, it is easy to study power and sample size calculations for a range of possible parameter values. When at least 3 input parameters vary, you

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

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

C 2 C 3 C 1 M S. f e. e f (3,0) (0,1) (2,0) (-1,1) (1,0) (-1,0) (1,-1) (0,-1) (-2,0) (-3,0) (0,-2)

C 2 C 3 C 1 M S. f e. e f (3,0) (0,1) (2,0) (-1,1) (1,0) (-1,0) (1,-1) (0,-1) (-2,0) (-3,0) (0,-2) SPECIAL ISSUE OF IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION: MULTI-ROBOT SSTEMS, 00 Distributed reonfiguration of hexagonal metamorphi robots Jennifer E. Walter, Jennifer L. Welh, and Nany M. Amato Abstrat

More information

A Novel Validity Index for Determination of the Optimal Number of Clusters

A Novel Validity Index for Determination of the Optimal Number of Clusters IEICE TRANS. INF. & SYST., VOL.E84 D, NO.2 FEBRUARY 2001 281 LETTER A Novel Validity Index for Determination of the Optimal Number of Clusters Do-Jong KIM, Yong-Woon PARK, and Dong-Jo PARK, Nonmembers

More information

Computer Graphics: Geometric Transformations

Computer Graphics: Geometric Transformations Computer Graphics: Geometric Transformations Geometric 2D transformations By: A. H. Abdul Hafez Abdul.hafez@hku.edu.tr, 1 Outlines 1. Basic 2D transformations 2. Matrix Representation of 2D transformations

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

To Do. Course Outline. Course Outline. Goals. Motivation. Foundations of Computer Graphics (Fall 2012) CS 184, Lecture 3: Transformations 1

To Do. Course Outline. Course Outline. Goals. Motivation. Foundations of Computer Graphics (Fall 2012) CS 184, Lecture 3: Transformations 1 Fondations of Compter Graphics (Fall 212) CS 184, Lectre 3: Transformations 1 http://inst.eecs.berkele.ed/~cs184 Sbmit HW b To Do Start looking at HW 1 (simple, bt need to think) Ais-angle rotation and

More information

General Guidelines for Voicings the Brass Section

General Guidelines for Voicings the Brass Section General Guidelines or Voiings the Brass Setion Trpt 1 Trpt 2 trpts Trpt 3 b b b b b b b # n # b # b # b Trpt 4 tbn 1 tbn 2 b b b b # b b b b # b b # b b # n b tbn 3 b b b # b tbn 4 b b b b b b b b pno

More information

IPSJ SIG Tehnial Report data olletion in a WSN with a mbs. PNC spports removing the obsolete data. Eah ombined segment enodes only the part of latest

IPSJ SIG Tehnial Report data olletion in a WSN with a mbs. PNC spports removing the obsolete data. Eah ombined segment enodes only the part of latest IPSJ SIG Tehnial Report Distribted Coding Shemes for Continos Data Colletion in Wireless Sensor Networs XIUCAI YE This mansript addresses the ontinos data olletion in WSNs with a mobile Base Station (mbs).

More information

521493S Computer Graphics Exercise 2 Solution (Chapters 4-5)

521493S Computer Graphics Exercise 2 Solution (Chapters 4-5) 5493S Computer Graphics Exercise Solution (Chapters 4-5). Given two nonparallel, three-dimensional vectors u and v, how can we form an orthogonal coordinate system in which u is one of the basis vectors?

More information

CS770/870 Spring 2017 Transformations

CS770/870 Spring 2017 Transformations CS770/870 Spring 2017 Transformations Coordinate sstems 2D Transformations Homogeneous coordinates Matrices, vectors, points 01/29/2017 1 Coordinate Sstems Coordinate sstems used in graphics Screen coordinates:

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

3-Dimensional Viewing

3-Dimensional Viewing CHAPTER 6 3-Dimensional Vieing Vieing and projection Objects in orld coordinates are projected on to the vie plane, hich is defined perpendicular to the vieing direction along the v -ais. The to main tpes

More information

Math 241, Final Exam. 12/11/12.

Math 241, Final Exam. 12/11/12. Math, Final Exam. //. No notes, calculator, or text. There are points total. Partial credit may be given. ircle or otherwise clearly identify your final answer. Name:. (5 points): Equation of a line. Find

More information

Orientation of the coordinate system

Orientation of the coordinate system Orientation of the oordinate system Right-handed oordinate system: -axis by a positive, around the -axis. The -axis is mapped to the i.e., antilokwise, rotation of The -axis is mapped to the -axis by a

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

Objectives. Geometry. Basic Elements. Coordinate-Free Geometry. Transformations to Change Coordinate Systems. Scalars

Objectives. Geometry. Basic Elements. Coordinate-Free Geometry. Transformations to Change Coordinate Systems. Scalars Objecties Geometry CS 432 Interactie Computer Graphics Prof. Daid E. Breen Department of Computer Science Introduce the elements of geometry - Scalars - Vectors - Points Deelop mathematical operations

More information

Combinatorial and Geometric Properties of Planar Laman Graphs

Combinatorial and Geometric Properties of Planar Laman Graphs Combinatorial and Geometric Properties of Planar Laman Graphs Stephen Koboro 1, Torsten Ueckerdt 2, and Kein Verbeek 3 1 Department of Compter Science, Uniersity of Arizona 2 Department of Applied Mathematics,

More information