Flood-Fill. Flood-fill. Flood-Fill from Seed. Recursive Flood-Fill. 8-connected vs. 4-connected. Recursive Flood-Fill Algorithm

Size: px
Start display at page:

Download "Flood-Fill. Flood-fill. Flood-Fill from Seed. Recursive Flood-Fill. 8-connected vs. 4-connected. Recursive Flood-Fill Algorithm"

Transcription

1 Flood-fill Flood-Fill Used in interctive pint systems. The user specify seed by pointing to the interior of the region to initite flood opertion Recursive Flood-Fill Fill imge-spce region with some intensity (color) vlue How to define the region? Fill Until vs. Fill While 4-connectivity vs. 8-connectivity Flood-Fill from eed trt from the seed nd floods the region until boundry is met. simple recursive lgorithm cn be used: void floodfill(int x, int y, int fill, int old) if (getpixel(x, y) == old) setpixel(fill, x, y); floodfill(x+1, y, fill, old); floodfill(x, y+1, fill, old); floodfill(x-1, y, fill, old); floodfill(x, y-1, fill, old); 8-connected vs. 4-connected Recursive Flood-Fill lgorithm The lgorithm is very simple, however it is: n 8-connected flood is ble to flood through corners tht 4-connected flood cnnot. highly recursive - requiring huge number of procedurl clls; cn cuse recursion stck to overflow no mechnism to determine whether the visited pixels hve been tested before 1

2 Fill Until vs. Fill While Flood Until seed void flooduntil(int x, int y, int n_color, int _color) c = getpixel(x, y); if (c!= n_color && c!= _color) setpixel(new_color, x, y); floodfill(x+1, y, n_color _color); floodfill(x, y+1, n_color _color); floodfill(x-1, y, n_color _color); floodfill(x, y-1, n_color _color); Flood While With globl vribles void floodwhile(int x, int y, int n_color, int old) if (getpixel(x, y) == old) setpixel(fill, x, y); floodfill(x+1, y, n_color, old); floodfill(x, y+1, n_color, old); floodfill(x-1, y, n_color, old); floodfill(x, y-1, n_color, old); void floodwhile(int x, int y) if (getpixel(x, y) == old_color) setpixel(n_color, x, y); floodfill(x+1, y); floodfill(x, y+1); floodfill(x-1, y); floodfill(x, y-1); Use stck Queue q = Ø dd the seed to q While(!q.empty()) P = q.pop(); For (x = P s neighboring pixels) If (getpixel(x) == old) setpixel(x, new_color); q.push(x); :KLOHYV8QWLO procedure FloodWhile (x,y: integer; oldvl, nwvl: color); if RedPixel (x,y) = oldvl then WritePixel (x, y, newvl); FloodWhile (x, y-1, oldvl, newvl); FloodWhile (x, y+1, oldvl, newvl); FloodWhile (x-1, y, oldvl, newvl); FloodWhile (x+1, y, oldvl, newvl); procedure FloodUntil (x,y: integer; boundryvl, nwvl: color); vr c: color c:=redpixel (x,y); if (c <> boundryvl) nd ( c <> newvl) then WritePixel (x, y, newvl); FloodUntil (x, y-1, boundryvl, newvl); FloodUntil (x, y+1, boundryvl, newvl); FloodUntil (x-1, y, boundryvl, newvl); FloodUntil (x+1, y, boundryvl, newvl); 2

3 eril Recursion is Depth-First o the fill lgorithm will continue in one direction until boundry is reched. It will then chnge directions momentrily nd ttempt to continue bck in the originl direction. Potentil problem of stck overflow. How to void it? reth-first Trversl Queue q = Ø dd the seed to q While(!q.empty()) P = q.removefirst(); For (x = P s neighboring pixels) If (getpixel(x) == old) setpixel(x, fill); q.insert(x); Recursive Flood-Fill lgorithm Cn lso hve n until version, defining region by boundry Recursive flood-fill is somewht blind nd mny pixels my be retested severl times Tg pixel with direction nd void redundnt clls Row coherence cn improve performnce drmticlly Push ddress of seed pixel onto stck while(stck is not empty) Pop the stck to provide next seed Fill in the run defined by the seed In the djcent rows (bove nd below) find the rechble interior runs, nd push the ddress of their rightmost pixels C C 3

4 D D b 4

5 The then contins:,c,d,f,g b g e d c d c f Flood Fill lgorithm procedure Fill ( x, y : integer; oldvl, newvl: color); push (x, y); while stck is not empty pop (x, y); open_up = FLE; open_down = FLE; while color [x--, y] == oldvl; /* move to most left pixel */ while color [x++,y] == oldvl color [x,y] = newvl; if open_up == FLE if color [x, y+1] == oldvl push (x, y+1); open_up = TRUE; else if color [x, y+1] <> oldvl open_up = FLE; if open_down == FLE if color [x, y-1] == oldvl push (x, y-1); open_down = TRUE; else if color [x, y-1] <> oldvl open_doun = FLE; 5

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

Binary Representation of Numbers Autar Kaw

Binary Representation of Numbers Autar Kaw Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy

More information

1.00/1.001 Introduction to Computers and Engineering Problem Solving Fall 2011 - Final Exam

1.00/1.001 Introduction to Computers and Engineering Problem Solving Fall 2011 - Final Exam 1./1.1 Introduction to Computers nd Engineering Problem Solving Fll 211 - Finl Exm Nme: MIT Emil: TA: Section: You hve 3 hours to complete this exm. In ll questions, you should ssume tht ll necessry pckges

More information

Math 135 Circles and Completing the Square Examples

Math 135 Circles and Completing the Square Examples Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for

More information

Virtual Machine. Part II: Program Control. Building a Modern Computer From First Principles. www.nand2tetris.org

Virtual Machine. Part II: Program Control. Building a Modern Computer From First Principles. www.nand2tetris.org Virtul Mchine Prt II: Progrm Control Building Modern Computer From First Principles www.nnd2tetris.org Elements of Computing Systems, Nisn & Schocken, MIT Press, www.nnd2tetris.org, Chpter 8: Virtul Mchine,

More information

MATH 150 HOMEWORK 4 SOLUTIONS

MATH 150 HOMEWORK 4 SOLUTIONS MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive

More information

Network Configuration Independence Mechanism

Network Configuration Independence Mechanism 3GPP TSG SA WG3 Security S3#19 S3-010323 3-6 July, 2001 Newbury, UK Source: Title: Document for: AT&T Wireless Network Configurtion Independence Mechnism Approvl 1 Introduction During the lst S3 meeting

More information

Rotating DC Motors Part II

Rotating DC Motors Part II Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors

More information

Lectures 8 and 9 1 Rectangular waveguides

Lectures 8 and 9 1 Rectangular waveguides 1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of

More information

Area. GABLES 411: Gables Citywalk/Waterford Square a

Area. GABLES 411: Gables Citywalk/Waterford Square a Are GABLES 411: Gbles Citywlk/Wterford Squre Where is the closest post office? 3740 Greenbrir St. Houston, TX 0.5 Miles (713) 528-5875 Where is the closest grocery store? Whole Foods, 2955 Kirby Dr. Houston,

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply

More information

Solution to Problem Set 1

Solution to Problem Set 1 CSE 5: Introduction to the Theory o Computtion, Winter A. Hevi nd J. Mo Solution to Prolem Set Jnury, Solution to Prolem Set.4 ). L = {w w egin with nd end with }. q q q q, d). L = {w w h length t let

More information

Blackbaud The Raiser s Edge

Blackbaud The Raiser s Edge Riser s Edge Slesce.com Comprison Summry Introduction (continued) Chrt -(continued) Non-Prit Strter Pck Compny Bckground Optionl Technology Both Slesce modules supports hs become include over Slesce.com

More information

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

Secure routing for structured peer-to-peer overlay networks

Secure routing for structured peer-to-peer overlay networks Secure routing for structured peer-to-peer overly networks Miguel Cstro 1, Peter Druschel 2, Aylvdi Gnesh 1, Antony Rowstron 1 nd Dn S. Wllch 2 1 Microsoft Reserch Ltd., 7 J J Thomson Avenue, Cmbridge,

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany Lecture Notes to Accompny Scientific Computing An Introductory Survey Second Edition by Michel T Heth Boundry Vlue Problems Side conditions prescribing solution or derivtive vlues t specified points required

More information

How To Set Up A Network For Your Business

How To Set Up A Network For Your Business Why Network is n Essentil Productivity Tool for Any Smll Business TechAdvisory.org SME Reports sponsored by Effective technology is essentil for smll businesses looking to increse their productivity. Computer

More information

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm Bibhudendr chry, Girij Snkr Rth, Srt Kumr Ptr, nd Sroj Kumr Pnigrhy Novel Methods of Generting Self-Invertible Mtrix for Hill Cipher lgorithm Bibhudendr chry Deprtment of Electronics & Communiction Engineering

More information

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

How To Network A Smll Business

How To Network A Smll Business Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 9 The Force Method of Anlysis: Bems (Continued) Version CE IIT, Khrgpur Instructionl Objectives

More information

Chapter Outline How do atoms arrange themselves to form solids? Types of Solids

Chapter Outline How do atoms arrange themselves to form solids? Types of Solids Chpter Outline How do toms rrnge themselves to form solids? Fundmentl concepts nd lnguge Unit cells Crystl structures Fce-centered cubic Body-centered cubic Hexgonl close-pcked Close pcked crystl structures

More information

SyGEMe: Integrated Municipal Facilities Management of Water Ressources Swiss Geoscience Meeting, Neuchâtel, 21 novembre 2009 k

SyGEMe: Integrated Municipal Facilities Management of Water Ressources Swiss Geoscience Meeting, Neuchâtel, 21 novembre 2009 k SyGEMe: Integrted Municipl Fcilities Mngement of Wter Ressources Tool presenttion, choice of technology, mn-mchine mchine interfce, business opportunities nd prospects 1. Introduction 2. Mn-mchine interfce

More information

Review guide for the final exam in Math 233

Review guide for the final exam in Math 233 Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered

More information

Vectors 2. 1. Recap of vectors

Vectors 2. 1. Recap of vectors Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

Or more simply put, when adding or subtracting quantities, their uncertainties add.

Or more simply put, when adding or subtracting quantities, their uncertainties add. Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re

More information

FAULT TREES AND RELIABILITY BLOCK DIAGRAMS. Harry G. Kwatny. Department of Mechanical Engineering & Mechanics Drexel University

FAULT TREES AND RELIABILITY BLOCK DIAGRAMS. Harry G. Kwatny. Department of Mechanical Engineering & Mechanics Drexel University SYSTEM FAULT AND Hrry G. Kwtny Deprtment of Mechnicl Engineering & Mechnics Drexel University OUTLINE SYSTEM RBD Definition RBDs nd Fult Trees System Structure Structure Functions Pths nd Cutsets Reliility

More information

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers. 2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this

More information

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions. Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd

More information

G.H. Raisoni College of Engineering, Nagpur. Department of Information Technology

G.H. Raisoni College of Engineering, Nagpur. Department of Information Technology Practical List 1) WAP to implement line generation using DDA algorithm 2) WAP to implement line using Bresenham s line generation algorithm. 3) WAP to generate circle using circle generation algorithm

More information

3 The Utility Maximization Problem

3 The Utility Maximization Problem 3 The Utility Mxiiztion Proble We hve now discussed how to describe preferences in ters of utility functions nd how to forulte siple budget sets. The rtionl choice ssuption, tht consuers pick the best

More information

19. The Fermat-Euler Prime Number Theorem

19. The Fermat-Euler Prime Number Theorem 19. The Fermt-Euler Prime Number Theorem Every prime number of the form 4n 1 cn be written s sum of two squres in only one wy (side from the order of the summnds). This fmous theorem ws discovered bout

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

and thus, they are similar. If k = 3 then the Jordan form of both matrices is

and thus, they are similar. If k = 3 then the Jordan form of both matrices is Homework ssignment 11 Section 7. pp. 249-25 Exercise 1. Let N 1 nd N 2 be nilpotent mtrices over the field F. Prove tht N 1 nd N 2 re similr if nd only if they hve the sme miniml polynomil. Solution: If

More information

Algebra Review. How well do you remember your algebra?

Algebra Review. How well do you remember your algebra? Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then

More information

Quick Reference Guide: Reset Password

Quick Reference Guide: Reset Password Quick Reference Guide: Reset Pssword How to reset pssword This Quick Reference Guide shows you how to reset your pssword if you hve forgotten it. There re three wys to reset your SingPss pssword: 1) Online

More information

PHY 140A: Solid State Physics. Solution to Homework #2

PHY 140A: Solid State Physics. Solution to Homework #2 PHY 140A: Solid Stte Physics Solution to Homework # TA: Xun Ji 1 October 14, 006 1 Emil: jixun@physics.ucl.edu Problem #1 Prove tht the reciprocl lttice for the reciprocl lttice is the originl lttice.

More information

10.6 Applications of Quadratic Equations

10.6 Applications of Quadratic Equations 10.6 Applictions of Qudrtic Equtions In this section we wnt to look t the pplictions tht qudrtic equtions nd functions hve in the rel world. There re severl stndrd types: problems where the formul is given,

More information

Physics 43 Homework Set 9 Chapter 40 Key

Physics 43 Homework Set 9 Chapter 40 Key Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

QUEUES. Primitive Queue operations. enqueue (q, x): inserts item x at the rear of the queue q

QUEUES. Primitive Queue operations. enqueue (q, x): inserts item x at the rear of the queue q QUEUES A queue is simply a waiting line that grows by adding elements to its end and shrinks by removing elements from the. Compared to stack, it reflects the more commonly used maxim in real-world, namely,

More information

How fast can we sort? Sorting. Decision-tree model. Decision-tree for insertion sort Sort a 1, a 2, a 3. CS 3343 -- Spring 2009

How fast can we sort? Sorting. Decision-tree model. Decision-tree for insertion sort Sort a 1, a 2, a 3. CS 3343 -- Spring 2009 CS 4 -- Spring 2009 Sorting Crol Wenk Slides courtesy of Chrles Leiserson with smll chnges by Crol Wenk CS 4 Anlysis of Algorithms 1 How fst cn we sort? All the sorting lgorithms we hve seen so fr re comprison

More information

Application Bundles & Data Plans

Application Bundles & Data Plans Appliction Appliction Bundles & Dt Plns We ve got plns for you. Trnsporttion compnies tody ren t one-size-fits-ll. Your fleet s budget, size nd opertions re unique. To meet the needs of your fleet nd help

More information

UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES

UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES Solution to exm in: FYS30, Quntum mechnics Dy of exm: Nov. 30. 05 Permitted mteril: Approved clcultor, D.J. Griffiths: Introduction to Quntum

More information

Object Semantics. 6.170 Lecture 2

Object Semantics. 6.170 Lecture 2 Object Semntics 6.170 Lecture 2 The objectives of this lecture re to: to help you become fmilir with the bsic runtime mechnism common to ll object-oriented lnguges (but with prticulr focus on Jv): vribles,

More information

Quick Reference Guide: One-time Account Update

Quick Reference Guide: One-time Account Update Quick Reference Guide: One-time Account Updte How to complete The Quick Reference Guide shows wht existing SingPss users need to do when logging in to the enhnced SingPss service for the first time. 1)

More information

Make the change today. Just have look at our loan calculator on page and see how much you could

Make the change today. Just have look at our loan calculator on page and see how much you could fmily first Credit fmily first Credit Uni Limited Uni Limited......... fmilies fmilies Keeping you in in in uch with Fmily First Credit Uni - December 2010 Keeping you in uch with Fmily First Credit Uni

More information

Reversing Medications That Cause Bleeding

Reversing Medications That Cause Bleeding Reversing Medictions Tht Cuse Bleeding Dine M. Birnbumer, M.D., FACEP Professor of Medicine University of Cliforni, Los Angeles Senior Fculty Deprtment of Emergency Medicine Hrbor-UCLA Medicl Center The

More information

APPLICATION NOTE Revision 3.0 MTD/PS-0534 August 13, 2008 KODAK IMAGE SENDORS COLOR CORRECTION FOR IMAGE SENSORS

APPLICATION NOTE Revision 3.0 MTD/PS-0534 August 13, 2008 KODAK IMAGE SENDORS COLOR CORRECTION FOR IMAGE SENSORS APPLICATION NOTE Revision 3.0 MTD/PS-0534 August 13, 2008 KODAK IMAGE SENDORS COLOR CORRECTION FOR IMAGE SENSORS TABLE OF FIGURES Figure 1: Spectrl Response of CMOS Imge Sensor...3 Figure 2: Byer CFA Ptterns...4

More information

Examples - What is Ecology? What is Ecology? Systematics Taxonomy. Microbiology. Ecology and Evolution. Physiology. Developmental Biology.

Examples - What is Ecology? What is Ecology? Systematics Taxonomy. Microbiology. Ecology and Evolution. Physiology. Developmental Biology. Wht is Ecology? The study of the interctions between orgnisms nd their environment. Orgnism plnt, niml, microbe Environment biotic Non-living components soil, wter, nutrients Biotic Interctions with other

More information

Brillouin Zones. Physics 3P41 Chris Wiebe

Brillouin Zones. Physics 3P41 Chris Wiebe Brillouin Zones Physics 3P41 Chris Wiebe Direct spce to reciprocl spce * = 2 i j πδ ij Rel (direct) spce Reciprocl spce Note: The rel spce nd reciprocl spce vectors re not necessrily in the sme direction

More information

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one. 5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued

More information

Enterprise Risk Management Software Buyer s Guide

Enterprise Risk Management Software Buyer s Guide Enterprise Risk Mngement Softwre Buyer s Guide 1. Wht is Enterprise Risk Mngement? 2. Gols of n ERM Progrm 3. Why Implement ERM 4. Steps to Implementing Successful ERM Progrm 5. Key Performnce Indictors

More information

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding 1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde

More information

Database-Backed Program Analysis for Scalable Error Propagation

Database-Backed Program Analysis for Scalable Error Propagation Dtbse-Bcked Progrm Anlysis for Sclble Error Propgtion Cthrin Weiss cthrin.weiss@gmil.com Cindy Rubio-González University of Cliforni, Dvis crubio@ucdvis.edu Ben Liblit University of Wisconsin Mdison liblit@cs.wisc.edu

More information

T H E S E C U R E T R A N S M I S S I O N P R O T O C O L O F S E N S O R A D H O C N E T W O R K

T H E S E C U R E T R A N S M I S S I O N P R O T O C O L O F S E N S O R A D H O C N E T W O R K Z E S Z Y T Y N A U K O W E A K A D E M I I M A R Y N A R K I W O J E N N E J S C I E N T I F I C J O U R N A L O F P O L I S H N A V A L A C A D E M Y 2015 (LVI) 4 (203) A n d r z e j M r c z k DOI: 10.5604/0860889X.1187607

More information

Boolean Expressions, Conditions, Loops, and Enumerations. Precedence Rules (from highest to lowest priority)

Boolean Expressions, Conditions, Loops, and Enumerations. Precedence Rules (from highest to lowest priority) Boolean Expressions, Conditions, Loops, and Enumerations Relational Operators == // true if two values are equivalent!= // true if two values are not equivalent < // true if left value is less than the

More information

South East of Process Main Building / 1F. North East of Process Main Building / 1F. At 14:05 April 16, 2011. Sample not collected

South East of Process Main Building / 1F. North East of Process Main Building / 1F. At 14:05 April 16, 2011. Sample not collected At 14:05 April 16, 2011 At 13:55 April 16, 2011 At 14:20 April 16, 2011 ND ND 3.6E-01 ND ND 3.6E-01 1.3E-01 9.1E-02 5.0E-01 ND 3.7E-02 4.5E-01 ND ND 2.2E-02 ND 3.3E-02 4.5E-01 At 11:37 April 17, 2011 At

More information

Homework 3 Solutions

Homework 3 Solutions CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.

More information

Engineer-to-Engineer Note

Engineer-to-Engineer Note Engineer-to-Engineer Note EE-280 Technicl notes on using Anlog Devices DSPs, processors nd development tools Visit our Web resources http://www.nlog.com/ee-notes nd http://www.nlog.com/processors or e-mil

More information

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control Interntionl Journl of Science nd Reserch (IJSR) Spce Vector Pulse Width Modultion Bsed Induction Motor with V/F Control Vikrmrjn Jmbulingm Electricl nd Electronics Engineering, VIT University, Indi Abstrct:

More information

GFI MilArchiver 6 vs Quest Softwre Archive Mnger GFI Softwre www.gfi.com GFI MilArchiver 6 vs Quest Softwre Archive Mnger GFI MilArchiver 6 Quest Softwre Archive Mnger Who we re Generl fetures Supports

More information

Hillsborough Township Public Schools Mathematics Department Computer Programming 1

Hillsborough Township Public Schools Mathematics Department Computer Programming 1 Essentil Unit 1 Introduction to Progrmming Pcing: 15 dys Common Unit Test Wht re the ethicl implictions for ming in tody s world? There re ethicl responsibilities to consider when writing computer s. Citizenship,

More information

2 DIODE CLIPPING and CLAMPING CIRCUITS

2 DIODE CLIPPING and CLAMPING CIRCUITS 2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of

More information

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS Known for over 500 yers is the fct tht the sum of the squres of the legs of right tringle equls the squre of the hypotenuse. Tht is +b c. A simple proof is

More information

GFI MilArchiver 6 vs C2C Archive One Policy Mnger GFI Softwre www.gfi.com GFI MilArchiver 6 vs C2C Archive One Policy Mnger GFI MilArchiver 6 C2C Archive One Policy Mnger Who we re Generl fetures Supports

More information

Basic Analysis of Autarky and Free Trade Models

Basic Analysis of Autarky and Free Trade Models Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently

More information

Move, Inc. 2010 Citi EMT Conference January 5, 2010

Move, Inc. 2010 Citi EMT Conference January 5, 2010 Move, Inc. 2010 Citi EMT Conference Jnury 5, 2010 Sfe Hrbor Sttement 2 This presenttion my contin forwrd-looking sttements, including informtion bout mngement s view of Move s future expecttions, plns

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

SPECIAL PRODUCTS AND FACTORIZATION

SPECIAL PRODUCTS AND FACTORIZATION MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come

More information

ClearPeaks Customer Care Guide. Business as Usual (BaU) Services Peace of mind for your BI Investment

ClearPeaks Customer Care Guide. Business as Usual (BaU) Services Peace of mind for your BI Investment ClerPeks Customer Cre Guide Business s Usul (BU) Services Pece of mind for your BI Investment ClerPeks Customer Cre Business s Usul Services Tble of Contents 1. Overview...3 Benefits of Choosing ClerPeks

More information

Vendor Rating for Service Desk Selection

Vendor Rating for Service Desk Selection Vendor Presented By DATE Using the scores of 0, 1, 2, or 3, plese rte the vendor's presenttion on how well they demonstrted the functionl requirements in the res below. Also consider how efficient nd functionl

More information

How To Study The Effects Of Music Composition On Children

How To Study The Effects Of Music Composition On Children C-crcs Cognitive - Counselling Reserch & Conference Services (eissn: 2301-2358) Volume I Effects of Music Composition Intervention on Elementry School Children b M. Hogenes, B. Vn Oers, R. F. W. Diekstr,

More information

Innovative and applied research on big data platforms of smart heritage

Innovative and applied research on big data platforms of smart heritage Innovtive nd pplied reserch on big dt pltforms of smrt heritge J. Qiu, J. Li, H. Sun * qiujie@thid.cn lijijun@thid.cn sunhuijio@thid.cn KEY WORDS: Smrt heritge, Big dt, Explntion ABSTRACT: Big dt hs huge

More information

Where is the nearest post office? Located.9 miles from the community on Oak Lawn. Below is the address and phone number for your reference:

Where is the nearest post office? Located.9 miles from the community on Oak Lawn. Below is the address and phone number for your reference: Are GABLES 411: Gbles Uptown Tower Where is the nerest post office? Locted.9 miles from the community on Ok Lwn. Below is the ddress nd phone number for your reference: United Sttes Post Office 2825 Ok

More information

1. What are Data Structures? Introduction to Data Structures. 2. What will we Study? CITS2200 Data Structures and Algorithms

1. What are Data Structures? Introduction to Data Structures. 2. What will we Study? CITS2200 Data Structures and Algorithms 1 What are ata Structures? ata Structures and lgorithms ata structures are software artifacts that allow data to be stored, organized and accessed Topic 1 They are more high-level than computer memory

More information

KOPYKAKE PLEASE READ THIS PAGE CAREFULLY BEFORE SELECTING EDIBLE INK TANKS AND PRINTERS.

KOPYKAKE PLEASE READ THIS PAGE CAREFULLY BEFORE SELECTING EDIBLE INK TANKS AND PRINTERS. KOYKKE LESE RED THIS GE CREFULLY BEFORE SELECTING EDIBLE INK TNKS ND RINTERS. BSICLLY WE OFFER EDIBLE INK TNKS FOR MNY CNON, ESON ND NOW BROTHER RINTERS. ND YOU WILL LSO FIND THT MNY MODELS OF THESE RINTERS

More information

Small Business Cloud Services

Small Business Cloud Services Smll Business Cloud Services Summry. We re thick in the midst of historic se-chnge in computing. Like the emergence of personl computers, grphicl user interfces, nd mobile devices, the cloud is lredy profoundly

More information

Cost Functions for Assessment of Vehicle Dynamics

Cost Functions for Assessment of Vehicle Dynamics Cost Functions for Assessment of Vehicle Dynmics Dzmitry Svitski Automotive Engineering Deprtment Ilmenu University of Technology Ilmenu, Germny dzmitry.svitski@tu-ilmenu.de Pvel Nedom, Jroslv Mchn Skod

More information

MAX = 5 Current = 0 'This will declare an array with 5 elements. Inserting a Value onto the Stack (Push) -----------------------------------------

MAX = 5 Current = 0 'This will declare an array with 5 elements. Inserting a Value onto the Stack (Push) ----------------------------------------- =============================================================================================================================== DATA STRUCTURE PSEUDO-CODE EXAMPLES (c) Mubashir N. Mir - www.mubashirnabi.com

More information

WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER

WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER Interntionl Journl of Computers nd Applictions, Vol. 9, No., 007 WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER Y.W. Bi nd Y.C. Wu Abstrct Bsed on our survey

More information

Understanding Basic Analog Ideal Op Amps

Understanding Basic Analog Ideal Op Amps Appliction Report SLAA068A - April 2000 Understnding Bsic Anlog Idel Op Amps Ron Mncini Mixed Signl Products ABSTRACT This ppliction report develops the equtions for the idel opertionl mplifier (op mp).

More information

Linear Equations in Two Variables

Linear Equations in Two Variables Liner Equtions in Two Vribles In this chpter, we ll use the geometry of lines to help us solve equtions. Liner equtions in two vribles If, b, ndr re rel numbers (nd if nd b re not both equl to 0) then

More information

Protocol Analysis. 17-654/17-764 Analysis of Software Artifacts Kevin Bierhoff

Protocol Analysis. 17-654/17-764 Analysis of Software Artifacts Kevin Bierhoff Protocol Anlysis 17-654/17-764 Anlysis of Softwre Artifcts Kevin Bierhoff Tke-Awys Protocols define temporl ordering of events Cn often be cptured with stte mchines Protocol nlysis needs to py ttention

More information

Integration. 148 Chapter 7 Integration

Integration. 148 Chapter 7 Integration 48 Chpter 7 Integrtion 7 Integrtion t ech, by supposing tht during ech tenth of second the object is going t constnt speed Since the object initilly hs speed, we gin suppose it mintins this speed, but

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

Scalable Mining of Large Disk-based Graph Databases

Scalable Mining of Large Disk-based Graph Databases Sclle Mining of Lrge Disk-sed Grph Dtses Chen Wng Wei Wng Jin Pei Yongti Zhu Bile Shi Fudn University, Chin, {chenwng, weiwng1, 2465, shi}@fudn.edu.cn Stte University of New York t Bufflo, USA & Simon

More information

4. DC MOTORS. Understand the basic principles of operation of a DC motor. Understand the operation and basic characteristics of simple DC motors.

4. DC MOTORS. Understand the basic principles of operation of a DC motor. Understand the operation and basic characteristics of simple DC motors. 4. DC MOTORS Almost every mechnicl movement tht we see round us is ccomplished by n electric motor. Electric mchines re mens o converting energy. Motors tke electricl energy nd produce mechnicl energy.

More information

Section 7-4 Translation of Axes

Section 7-4 Translation of Axes 62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the

More information