A MAGIC FORMULA OF NATURE

Size: px
Start display at page:

Download "A MAGIC FORMULA OF NATURE"

Transcription

1 A MAGIC FORMULA OF NATURE

2 Mathematics & Real life The descrition of the forms is one of the major roblems of biology. Is mathematics able to give a suort? Mathematics is the language of Science and Tachnology

3 Mathematics & Real life Mathematics is the language of Science and Tachnology No human inquiry is true science if it does not ass from mathematical demonstrations Trattato sulla Pittura, Leonardo Da Vinci (452-59).

4 Mathematics & Real life Mathematics is the language of Science and Tachnology The Universe can not be understood if not reviously one learns to understand the language and to know the characters in the which is written He is written in the mathematical language, and the characters are triangles, circles and other geometric figures, without these it is a vain circumvention for an obscure labyrinth. Il Saggiatore, Galileo Galilei ( ).

5 Mathematics & Real life Johan Gielis (American Journal of Botany 2003) roosed a formula that can describe a wide range of natural shaes m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b 4 2 3

6 Gielis suerformula Bottom u: to discover the the main idea behind To down: to understand the role of each arameter m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b 4 2 3

7 Gielis suerformula Bottom u: to discover the the main idea behind Product of two functions m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b 4 2 3

8 Gielis suerformula Bottom u: to discover the the main idea behind Let us concentrate our attemition on the second function assuming constant the first one m m ρ= cos ϕ + sin ϕ a 4 b 4 2 3

9 Gielis suerformula Bottom u: to discover the the main idea behind Assume the three ower arameters coincide m m ρ= cos ϕ + sin ϕ a 4 b 4 2 3

10 Gielis suerformula Bottom u: to discover the the main idea behind Assume the three ower arameters coincide m m ρ= cos ϕ + sin ϕ a 4 b 4

11 Gielis suerformula Bottom u: to discover the the main idea behind Equivalent formulation m m ρ= cos ϕ + sin ϕ a 4 b 4 m m cos ϕ + sin ϕ a 4 b 4 ρ = m m = ρcos ϕ + ρsin ϕ a 4 b 4

12 Gielis suerformula Bottom u: to discover the the main idea behind m m = ρcos ϕ + ρsin ϕ a 4 b 4

13 Gielis suerformula Bottom u: to discover the the main idea behind Re-scale the variable m m = ρcos ϕ + ρsin ϕ a 4 b 4

14 Gielis suerformula Bottom u: to discover the the main idea behind Re-scale the variable m=4 = cos sin a ρ ϕ + b ρ ϕ

15 Gielis suerformula Bottom u: to discover the the main idea behind x y =ρsinϕ =ρcosϕ From olar to cartesian coordinates = ρ cosϕ + ρsin ϕ a b

16 Gielis suerformula Bottom u: to discover the the main idea behind x y =ρsinϕ =ρcosϕ From olar to cartesian coordinates x a b = + y

17 Gielis suerformula Bottom u: to discover the the main idea behind Re-scale the two viariablex a=b= x a b = + y

18 Gielis suerformula Bottom u: to discover the the main idea behind Well known equation = x + y 2 2 = x + y key idea

19 Mathematics & Real life Botton u: to discover the the main idea behind To down: to understand the role of arameters m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b 4 2 3

20 Gielis suerformula Bottom u: to discover the the main idea behind Let us start from the key idea = x + y 2 2 = x + y

21 The squared circle Lamé circumference r = x + y Gabriel Lamé ( ) revolutionized this view

22 The squared circle Lamé circumference r = x + y For a long time the circle and the square have been considered as "oosed" figures. Gabriel Lamé ( ) revolutionized this view

23 The squared circle Lamé circumference r = x + y For a long time the circle and the square have been considered as "oosed" figures. Gabriel Lamé ( ) revolutionized this view

24 The squared circle Lamé circumference r = x + y For a long time the circle and the square have been considered as "oosed" figures. Gabriel Lamé ( ) revolutionized this view L Euclidean L infinuty MAX Manhattan =0 0<< = <<2 =2 >2 ->infinity

25 Suer ellises In the real life r x = + a y b Piet Hein (959) Sergel's Torg, Stockholm

26 Suer ellises In the real life r x = + a y b Piet Hein (959) Sergel's Torg, Stockholm = 5/2 a/ b= 6/5

27 Suer ellises In the real life r x = + a y b Piet Hein ( ) glasses, lates, desk lams

28 Suer ellises In the real life r x = + a y b bamboo cane

29 First ste to suerformula From Cartesian to Polar coordinates x =ρsinϕ y =ρcosϕ x y = + = ρsin ϕ + ρcosϕ a b a b

30 First ste to suerformula From Cartesian to Polar coordinates Rodonee Grandi s roses Luigi Guido Grandi (67-742) ρ= Rsin( ωϕ)

31 First ste to suerformula From Cartesian to Polar coordinates x =ρsinϕ y =ρcosϕ x y = + = ρsin ϕ + ρcosϕ a b a b ρ = sin ϕ + cosϕ a b

32 First ste to suerformula From Cartesian to Polar coordinates x =ρsinϕ y =ρcosϕ x y = + = ρsin ϕ + ρcosϕ a b a b ρ= sin ϕ + cosϕ a b /

33 First ste to suerformula From Cartesian to Polar coordinates ρ ρ= cosϕ + sin ϕ a b reresent the length of the vector ray corresonding to angle the local minima and maxima lay a fundamental for the figure shae ϕ

34 First ste to suerformula From Cartesian to Polar coordinates ρ ρ= cosϕ + sin ϕ a b reresent the length of the vector ray corresonding to angle the local minima and maxima lay a fundamental for the figure shae They corresond to the minimum and maximum oints of the recirocal function ϕ ρϕ ( ) ρ ϕ ϕ I / ρϕ ( ) / ρ ϕ ϕ ( ) ( ) 0 0 I

35 First ste to suerformula From Cartesian to Polar coordinates ρ ρ= cosϕ + sin ϕ a b reresent the length of the vector ray corresonding to angle the local minima and maxima lay a fundamental for the figure shae They corresond to the minimum and maximum oints of the recirocal function ( ) f = / ρ = cosϕ + sin ϕ ϕ

36 First ste to suerformula From Cartesian to Polar coordinates ρ= cosϕ + sin ϕ a b f ρ f Functions admits 4 minimum oints and 4 maximum oints for every value of arameter

37 Second ste to suerformula Fase arameter m m ρ= cos ϕ + sin ϕ a 4 b 4

38 Second ste to suerformula Fase arameter m m ρ= cos ϕ + sin ϕ a 4 b 4 m integer m= m=2 m=3 m=4 m=5 m=6 m=0 m=20

39 Second ste to suerformula Fase arameter m m ρ= cos ϕ + sin ϕ a 4 b 4 m rational m=/2 m=3/2 m=5/3 2 sins 2 sins 3 sins

40 Second ste to suerformula Fase arameter m m ρ= cos ϕ + sin ϕ a 4 b 4 m irrational m=e 3 sins 7 sins 4 sins

41 Third ste to suerformula Power Parameters i 2 3 m m ρ= cos ϕ + sin ϕ a 4 b 4 The number of ossible shaes increase greatly assuming different values for the exonents Each arameter roduces the effect of a non-linear transformation.

42 Third ste to suerformula Power Parameters i m= 3 = = = m m ρ= cos ϕ + sin ϕ a 4 b 4 m= 7 = 0.5 = 0.5 = m= 6 = = 0 = m= 7 = 0.5 = 0.5 =

43 The suerformula m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b Two remarkable articular cases: k m R( ϕ ) =ϕ R( ϕ ) = cos 2 ϕ

44 The suerformula m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b Two remarkable articular cases: R( ϕ ) =ϕ m R( ϕ ) = cos 2 ϕ

45 The suerformula m m ρ= ϕ cos ϕ + sin ϕ a 4 b 4 First case: sirals 2 3 m= 6 = = = 00 0 ϕ 2π 2 3 m= 0 = = = 8 0 ϕ 8π m= 4 = = = 00 0 ϕ 8π 2 3 m= 6 = = 2 3 = 00 0 ϕ 5π m= 0 = 50 = = 8 0 ϕ 6π m= 0 = 0,5 = = 0 ϕ 6π

46 The suerformula m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b Two remarkable articular cases: R( ϕ ) =ϕ m R( ϕ ) = cos 2 ϕ

47 The suerformula m m m ρ= cos ϕ cos ϕ + sin ϕ 2 a 4 b 4 Second case: flowers 2 3 m = 5 = = = 2 3 m = 0 = = = 2 3 m = 6 = = = m = 5 = = = m = 8 = 5 = 0.3 = 2 3 m = 2 = 0. = 5 = 2 3

48 The suerformula m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b a= b= 0 m= 5 = 3 = 2 2 = 0 ϕ 2 2π a= b= 0 m= 5 = 3 = = ϕ 2 2π a= b= 0 m= 5 2 = 3 = 5 = 0 ϕ 2 2π a = b= m= 0 2 = 3 = 5 = 8 0 ϕ 4 2π R 2.55 ( ϕ ) =ϕ a= b= m= 6 2 = 0 3 = = 00 0 ϕ 4 2π R 2.4 ( ϕ ) =ϕ

49 The suerformula m m ρ= R( ϕ) cos ϕ + sin ϕ a 4 b a= b= 0 m= 5 = 3 = 2 2 = 0 ϕ 2 2π a= b= 0 m= 5 = 3 = = ϕ 2 2π a= b= 0 m= 5 2 = 3 = 5 = 0 ϕ 2 2π a = b= m= 0 2 = 3 = 5 = 8 0 ϕ 4 2π R 2.55 ( ϕ ) =ϕ a= b= m= 6 2 = 0 3 = = 00 0 ϕ 4 2π R 2.4 ( ϕ ) =ϕ The code a b m 2 3 k

50 Code comuter grahic Classis cartoons

51 Code comuter grahic Comuter images

52 Code comuter grahic

53 Code comuter grahic

54 Code comuter grahic

55 Code comuter grahic

56 Code comuter grahic

57 Code comuter grahic

58 Thank you very much for your attention

Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan. Figure 50.1

Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan. Figure 50.1 50 Polar Coordinates Arkansas Tech University MATH 94: Calculus II Dr. Marcel B. Finan Up to this point we have dealt exclusively with the Cartesian coordinate system. However, as we will see, this is

More information

MT 430 Intro to Number Theory MIDTERM 2 PRACTICE

MT 430 Intro to Number Theory MIDTERM 2 PRACTICE MT 40 Intro to Number Theory MIDTERM 2 PRACTICE Material covered Midterm 2 is comrehensive but will focus on the material of all the lectures from February 9 u to Aril 4 Please review the following toics

More information

Solutions to Exam 1. Problem 1. a) State Fermat s Little Theorem and Euler s Theorem. b) Let m, n be relatively prime positive integers.

Solutions to Exam 1. Problem 1. a) State Fermat s Little Theorem and Euler s Theorem. b) Let m, n be relatively prime positive integers. Solutions to Exam 1 Problem 1. a) State Fermat s Little Theorem and Euler s Theorem. b) Let m, n be relatively rime ositive integers. Prove that m φ(n) + n φ(m) 1 (mod mn). c) Find the remainder of 1 008

More information

MATH 324 Elementary Number Theory Solutions to Practice Problems for Final Examination Monday August 8, 2005

MATH 324 Elementary Number Theory Solutions to Practice Problems for Final Examination Monday August 8, 2005 MATH 324 Elementary Number Theory Solutions to Practice Problems for Final Examination Monday August 8, 2005 Deartment of Mathematical and Statistical Sciences University of Alberta Question 1. Find integers

More information

Physics. Valve Electronics.

Physics. Valve Electronics. Physics Valve Electronics www.testrekart.com Table of Content 1. Do You Know?. Thermionic Emission and Emitters. 3. Vacuum Tubes and Thermionic Valves. 4. Diode Valve. 5. Triode Valve. 1 1. Do You Know?

More information

Software for Modeling Estimated Respiratory Waveform

Software for Modeling Estimated Respiratory Waveform Software for Modeling Estimated Resiratory Waveform Aleksei E. Zhdanov, Leonid G. Dorosinsky Abstract In the imaging of chest or abdomen, motion artifact is an unavoidable roblem. In the radiation treatment,

More information

ELECTRICAL TECHNOLOGY EET 103/4

ELECTRICAL TECHNOLOGY EET 103/4 ELECTRICAL TECHNOLOGY EET 103/4 Define and analyze the rincile of transformer, its arameters and structure. Describe and analyze Ideal transformer, equivalent circuit, and hasor diagram Calculate and justify

More information

Circular Dynamic Stereo and Its Image Processing

Circular Dynamic Stereo and Its Image Processing Circular Dynamic Stereo and Its Image Processing Kikuhito KAWASUE *1 and Yuichiro Oya *2 *1 Deartment of Mechanical Systems Engineering Miyazaki University 1-1, Gakuen Kibanadai Nishi, Miyazaki 889-2192

More information

The Multi-Focus Plenoptic Camera

The Multi-Focus Plenoptic Camera The Multi-Focus Plenotic Camera Todor Georgiev a and Andrew Lumsdaine b a Adobe Systems, San Jose, CA, USA; b Indiana University, Bloomington, IN, USA Abstract Text for Online or Printed Programs: The

More information

Modeling of power autotransformer

Modeling of power autotransformer Modeling of ower autotransformer VLADMÍR VOLČKO, ŽAETA ELEHOVÁ, ATO BELÁŇ, PETER JAGA, DOMK VGLAŠ, MROLAVA MTKOVÁ Deartment of Electrical Power Engineering lovak niversity of Technology in Bratislava lkovičova,

More information

Gauss and AGM. Burton Rosenberg. January 30, 2004

Gauss and AGM. Burton Rosenberg. January 30, 2004 Gauss and AGM Burton Rosenberg January 3, 24 Introduction derivation of equation. what has it to do w/ the lemniscate agm properties of I elliptic integrals The Elliptic Integral of the First Kind Define

More information

SQUARING THE MAGIC SQUARES OF ORDER 4

SQUARING THE MAGIC SQUARES OF ORDER 4 Journal of lgebra Number Theory: dvances and lications Volume 7 Number Pages -6 SQURING THE MGIC SQURES OF ORDER STEFNO BRBERO UMBERTO CERRUTI and NDIR MURRU Deartment of Mathematics University of Turin

More information

EXPERIMENT 6 CLOSED-LOOP TEMPERATURE CONTROL OF AN ELECTRICAL HEATER

EXPERIMENT 6 CLOSED-LOOP TEMPERATURE CONTROL OF AN ELECTRICAL HEATER YEDITEPE UNIVERSITY ENGINEERING & ARCHITECTURE FACULTY INDUSTRIAL ELECTRONICS LABORATORY EE 432 INDUSTRIAL ELECTRONICS EXPERIMENT 6 CLOSED-LOOP TEMPERATURE CONTROL OF AN ELECTRICAL HEATER Introduction:

More information

Circuit Analysis-II. Circuit Analysis-II Lecture # 2 Wednesday 28 th Mar, 18

Circuit Analysis-II. Circuit Analysis-II Lecture # 2 Wednesday 28 th Mar, 18 Circuit Analysis-II Angular Measurement Angular Measurement of a Sine Wave ü As we already know that a sinusoidal voltage can be produced by an ac generator. ü As the windings on the rotor of the ac generator

More information

University of Twente

University of Twente University of Twente Faculty of Electrical Engineering, Mathematics & Comuter Science Design of an audio ower amlifier with a notch in the outut imedance Remco Twelkemeijer MSc. Thesis May 008 Suervisors:

More information

Physics 54. Lenses and Mirrors. And now for the sequence of events, in no particular order. Dan Rather

Physics 54. Lenses and Mirrors. And now for the sequence of events, in no particular order. Dan Rather Physics 54 Lenses and Mirrors And now or the seuence o events, in no articular order. Dan Rather Overview We will now study transmission o light energy in the ray aroximation, which assumes that the energy

More information

SERIES RL CIRCUITS (1)

SERIES RL CIRCUITS (1) SEIES IUIS () ircuit above is a series network connected to an ac voltage source Need to find the hasor form of the total imedance of this combination he total imedance of this series combination is he

More information

There are two basic types of FET s: The junction field effect transistor or JFET the metal oxide FET or MOSFET.

There are two basic types of FET s: The junction field effect transistor or JFET the metal oxide FET or MOSFET. Page 61 Field Effect Transistors The Fieldeffect transistor (FET) We know that the biolar junction transistor or BJT is a current controlled device. The FET or field effect transistor is a voltage controlled

More information

Practice problems from old exams for math 233

Practice problems from old exams for math 233 Practice problems from old exams for math 233 William H. Meeks III October 26, 2012 Disclaimer: Your instructor covers far more materials that we can possibly fit into a four/five questions exams. These

More information

Is 1 a Square Modulo p? Is 2?

Is 1 a Square Modulo p? Is 2? Chater 21 Is 1 a Square Modulo? Is 2? In the revious chater we took various rimes and looked at the a s that were quadratic residues and the a s that were nonresidues. For examle, we made a table of squares

More information

Efficient Importance Sampling for Monte Carlo Simulation of Multicast Networks

Efficient Importance Sampling for Monte Carlo Simulation of Multicast Networks Efficient Imortance Samling for Monte Carlo Simulation of Multicast Networks P. Lassila, J. Karvo and J. Virtamo Laboratory of Telecommunications Technology Helsinki University of Technology P.O.Box 3000,

More information

Light field panorama by a plenoptic camera

Light field panorama by a plenoptic camera Light field anorama by a lenotic camera Zhou Xue, Loic Baboulaz, Paolo Prandoni and Martin Vetterli École Polytechnique Fédérale de Lausanne, Switzerland ABSTRACT Consumer-grade lenotic camera Lytro draws

More information

Optimization of an Evaluation Function of the 4-sided Dominoes Game Using a Genetic Algorithm

Optimization of an Evaluation Function of the 4-sided Dominoes Game Using a Genetic Algorithm o Otimization of an Evaluation Function of the 4-sided Dominoes Game Using a Genetic Algorithm Nirvana S. Antonio, Cícero F. F. Costa Filho, Marly G. F. Costa, Rafael Padilla Abstract In 4-sided dominoes,

More information

( ) = + ANSWERS TO EVEN NUMBERED CONCEPTUAL QUESTIONS

( ) = + ANSWERS TO EVEN NUMBERED CONCEPTUAL QUESTIONS Mirrors and Lenses 39 7. A concave mirror forms inverted, real images of real objects located outside the focal oint ( > f ), and uright, magnified, virtual images of real objects located inside the focal

More information

Conjectures and Results on Super Congruences

Conjectures and Results on Super Congruences Conjectures and Results on Suer Congruences Zhi-Wei Sun Nanjing University Nanjing 210093, P. R. China zwsun@nju.edu.cn htt://math.nju.edu.cn/ zwsun Feb. 8, 2010 Part A. Previous Wor by Others What are

More information

Exam 1 7 = = 49 2 ( ) = = 7 ( ) =

Exam 1 7 = = 49 2 ( ) = = 7 ( ) = Exam 1 Problem 1. a) Define gcd(a, b). Using Euclid s algorithm comute gcd(889, 168). Then find x, y Z such that gcd(889, 168) = x 889 + y 168 (check your answer!). b) Let a be an integer. Prove that gcd(3a

More information

arxiv: v1 [eess.sp] 10 Apr 2018

arxiv: v1 [eess.sp] 10 Apr 2018 Sensing Hidden Vehicles by Exloiting Multi-Path V2V Transmission Kaifeng Han, Seung-Woo Ko, Hyukjin Chae, Byoung-Hoon Kim, and Kaibin Huang Det. of EEE, The University of Hong Kong, Hong Kong LG Electronics,

More information

Introduction to Number Theory 2. c Eli Biham - November 5, Introduction to Number Theory 2 (12)

Introduction to Number Theory 2. c Eli Biham - November 5, Introduction to Number Theory 2 (12) Introduction to Number Theory c Eli Biham - November 5, 006 345 Introduction to Number Theory (1) Quadratic Residues Definition: The numbers 0, 1,,...,(n 1) mod n, are called uadratic residues modulo n.

More information

Trigonometry. David R. Wilkins

Trigonometry. David R. Wilkins Trigonometry David R. Wilkins 1. Trigonometry 1. Trigonometry 1.1. Trigonometric Functions There are six standard trigonometric functions. They are the sine function (sin), the cosine function (cos), the

More information

LAB IX. LOW FREQUENCY CHARACTERISTICS OF JFETS

LAB IX. LOW FREQUENCY CHARACTERISTICS OF JFETS LAB X. LOW FREQUENCY CHARACTERSTCS OF JFETS 1. OBJECTVE n this lab, you will study the -V characteristics and small-signal model of Junction Field Effect Transistors (JFET).. OVERVEW n this lab, we will

More information

Analysis of Electronic Circuits with the Signal Flow Graph Method

Analysis of Electronic Circuits with the Signal Flow Graph Method Circuits and Systems, 207, 8, 26-274 htt://www.scir.org/journal/cs ISSN Online: 253-293 ISSN Print: 253-285 Analysis of Electronic Circuits with the Signal Flow Grah Method Feim Ridvan Rasim, Sebastian

More information

10.3 Polar Coordinates

10.3 Polar Coordinates .3 Polar Coordinates Plot the points whose polar coordinates are given. Then find two other pairs of polar coordinates of this point, one with r > and one with r

More information

Deriving the General Equation of a Circle

Deriving the General Equation of a Circle Deriving the General Equation of a Circle Standard Addressed in this Task MGSE9-12.G.GPE.1 Derive the equation of a circle of given center and radius using the Pythagorean Theorem; complete the square

More information

SIZE OF THE SET OF RESIDUES OF INTEGER POWERS OF FIXED EXPONENT

SIZE OF THE SET OF RESIDUES OF INTEGER POWERS OF FIXED EXPONENT SIZE OF THE SET OF RESIDUES OF INTEGER POWERS OF FIXED EXPONENT RICHARD J. MATHAR Abstract. The ositive integers corime to some integer m generate the abelian grou (Z/nZ) of multilication modulo m. Admitting

More information

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems

Spiking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Systems Siking Neural Networks for Real-Time Infrared Images Processing in Thermo Vision Sstems Snejana Pleshkova Deartment of Telecommunications Technical Universit Kliment Ohridski, 8 Sofia aabbv@tu-sofia.bg

More information

Calculus for the Life Sciences

Calculus for the Life Sciences Calculus for the Life Sciences Lecture Notes Joseph M. Mahaffy, jmahaffy@mail.sdsu.edu Department of Mathematics and Statistics Dynamical Systems Group Computational Sciences Research Center San Diego

More information

Connection of CSO and JCMT to SMA

Connection of CSO and JCMT to SMA SMA memo 136 Connecting the CSO and JCMT to the SMA 1 Introduction Martina C. Wiedner March 1999 Currently there are two submillimeter telescoes on Mauna Kea in Hawaii, the Caltech Submillimeter Observatory

More information

The online muon identification with the ATLAS experiment at the LHC

The online muon identification with the ATLAS experiment at the LHC 32 he online muon identification with the ALAS exeriment at the LHC Abstract he Large Hadron Collider (LHC) at CERN is a roton-roton collider roviding the highest energy and the highest instantaneous luminosity

More information

Full Bridge Single Stage Electronic Ballast for a 250 W High Pressure Sodium Lamp

Full Bridge Single Stage Electronic Ballast for a 250 W High Pressure Sodium Lamp Full Bridge Single Stage Electronic Ballast for a 50 W High Pressure Sodium am Abstract In this aer will be reorted the study and imlementation of a single stage High Power Factor (HPF) electronic ballast

More information

High resolution radar signal detection based on feature analysis

High resolution radar signal detection based on feature analysis Available online www.jocr.com Journal of Chemical and Pharmaceutical Research, 4, 6(6):73-77 Research Article ISSN : 975-7384 CODEN(USA) : JCPRC5 High resolution radar signal detection based on feature

More information

INTERNET PID CONTROLLER DESIGN: M. Schlegel, M. Čech

INTERNET PID CONTROLLER DESIGN:  M. Schlegel, M. Čech INTERNET PID CONTROLLER DESIGN: WWW.PIDLAB.COM M. Schlegel, M. Čech Deartment of Cybernetics, University of West Bohemia in Pilsen fax : + 0403776350, e-mail : schlegel@kky.zcu.cz, mcech@kky.zcu.cz Abstract:

More information

Electronic Ballast with Wide Dimming Range: Matlab-Simulink Implementation of a Double Exponential Fluorescent-Lamp Model

Electronic Ballast with Wide Dimming Range: Matlab-Simulink Implementation of a Double Exponential Fluorescent-Lamp Model Electronic Ballast with Wide Dimming ange: Matlab-Simulink Imlementation of a Double Exonential Fluorescent-Lam Model Marina Perdigão and E. S. Saraiva Deartamento de Engenharia Electrotécnica Instituto

More information

NUMBERS & OPERATIONS. 1. Understand numbers, ways of representing numbers, relationships among numbers and number systems.

NUMBERS & OPERATIONS. 1. Understand numbers, ways of representing numbers, relationships among numbers and number systems. 7 th GRADE GLE S NUMBERS & OPERATIONS 1. Understand numbers, ways of representing numbers, relationships among numbers and number systems. A) Read, write and compare numbers (MA 5 1.10) DOK 1 * compare

More information

Solutions to Assignment #07 MATH radians = = 7 (180 ) = 252 : 5

Solutions to Assignment #07 MATH radians = = 7 (180 ) = 252 : 5 Solutions to Assignment #0 MATH 0 Precalculus Section. (I) Comlete Exercises #b & #0b on. 0. (#b) We robabl need to convert this to degrees. The usual wa of writing out the conversion is to alwas multil

More information

Computational Complexity of Generalized Push Fight

Computational Complexity of Generalized Push Fight Comutational Comlexity of Generalized Push Fight Jeffrey Bosboom Erik D. Demaine Mikhail Rudoy Abstract We analyze the comutational comlexity of otimally laying the two-layer board game Push Fight, generalized

More information

Connected Mathematics 2, 6th Grade Units (c) 2006 Correlated to: Utah Core Curriculum for Math (Grade 6)

Connected Mathematics 2, 6th Grade Units (c) 2006 Correlated to: Utah Core Curriculum for Math (Grade 6) Core Standards of the Course Standard I Students will acquire number sense and perform operations with rational numbers. Objective 1 Represent whole numbers and decimals in a variety of ways. A. Change

More information

Quadratic Residues. Legendre symbols provide a computational tool for determining whether a quadratic congruence has a solution. = a (p 1)/2 (mod p).

Quadratic Residues. Legendre symbols provide a computational tool for determining whether a quadratic congruence has a solution. = a (p 1)/2 (mod p). Quadratic Residues 4--015 a is a quadratic residue mod m if x = a (mod m). Otherwise, a is a quadratic nonresidue. Quadratic Recirocity relates the solvability of the congruence x = (mod q) to the solvability

More information

Sinusoids. Lecture #2 Chapter 2. BME 310 Biomedical Computing - J.Schesser

Sinusoids. Lecture #2 Chapter 2. BME 310 Biomedical Computing - J.Schesser Sinusoids Lecture # Chapter BME 30 Biomedical Computing - 8 What Is this Course All About? To Gain an Appreciation of the Various Types of Signals and Systems To Analyze The Various Types of Systems To

More information

KSF selected problems Student

KSF selected problems Student 3 point problems 1. Andrea was born in 1997, her younger sister Charlotte in 2001. The age difference of the two sisters is therefore in any case. (A) less than 4 years (B) at least 4 years (C) exactly

More information

Lab 4: The transformer

Lab 4: The transformer ab 4: The transformer EEC 305 July 8 05 Read this lab before your lab eriod and answer the questions marked as relaboratory. You must show your re-laboratory answers to the TA rior to starting the lab.

More information

Evolutionary Circuit Design: Information Theory Perspective on Signal Propagation

Evolutionary Circuit Design: Information Theory Perspective on Signal Propagation Evolutionary Circuit Design: Theory Persective on Signal Proagation Denis Poel Deartment of Comuter Science, Baker University, P.O. 65, Baldwin City, KS 66006, E-mail: oel@ieee.org Nawar Hakeem Deartment

More information

2005 Galois Contest Wednesday, April 20, 2005

2005 Galois Contest Wednesday, April 20, 2005 Canadian Mathematics Competition An activity of the Centre for Education in Mathematics and Computing, University of Waterloo, Waterloo, Ontario 2005 Galois Contest Wednesday, April 20, 2005 Solutions

More information

Low Complexity Tail-Biting Trellises for Some Extremal Self-Dual Codes

Low Complexity Tail-Biting Trellises for Some Extremal Self-Dual Codes Low Comlexity Tail-Biting Trellises for Some Extremal Self-Dual Codes Grégory Olocco, Ayoub Otmani To cite this version: Grégory Olocco, Ayoub Otmani. Low Comlexity Tail-Biting Trellises for Some Extremal

More information

UNDERWATER ACOUSTIC CHANNEL ESTIMATION USING STRUCTURED SPARSITY

UNDERWATER ACOUSTIC CHANNEL ESTIMATION USING STRUCTURED SPARSITY UNDERWATER ACOUSTIC CHANNEL ESTIMATION USING STRUCTURED SPARSITY Ehsan Zamanizadeh a, João Gomes b, José Bioucas-Dias c, Ilkka Karasalo d a,b Institute for Systems and Robotics, Instituto Suerior Técnico,

More information

(b) ( 1, s3 ) and Figure 18 shows the resulting curve. Notice that this rose has 16 loops.

(b) ( 1, s3 ) and Figure 18 shows the resulting curve. Notice that this rose has 16 loops. SECTIN. PLAR CRDINATES 67 _ and so we require that 6n5 be an even multiple of. This will first occur when n 5. Therefore we will graph the entire curve if we specify that. Switching from to t, we have

More information

Chapter 36 - Image Formation

Chapter 36 - Image Formation Chater 6 - Image Formation P6. The flatness of the mirror is described by R =, f = 0 f = By our general mirror euation, or = = 0 f FIG. P6. Thus, the image is as far behind the mirror as the erson is in

More information

AC Winding Analysis using Winding Function Approach

AC Winding Analysis using Winding Function Approach AC Winding Analysis using Winding Function Aroach Gojko Joksimović Deartment of Electrical Engineering University of Montenegro, 0000 Podgorica Montenegro joxo@ac.me Abstract One of the crucial arts of

More information

Available online at ScienceDirect. Procedia Manufacturing 11 (2017 )

Available online at   ScienceDirect. Procedia Manufacturing 11 (2017 ) Available online at www.sciencedirect.com ScienceDirect Procedia Manuacturing 11 (2017 ) 501 508 27th International Conerence on Flexible Automation and Intelligent Manuacturing, FAIM2017, 27-30 June 2017,

More information

Order and Compare Rational and Irrational numbers and Locate on the number line

Order and Compare Rational and Irrational numbers and Locate on the number line 806.2.1 Order and Compare Rational and Irrational numbers and Locate on the number line Rational Number ~ any number that can be made by dividing one integer by another. The word comes from the word "ratio".

More information

Roots and Radicals Chapter Questions

Roots and Radicals Chapter Questions Roots and Radicals Chapter Questions 1. What are the properties of a square? 2. What does taking the square root have to do with the area of a square? 3. Why is it helpful to memorize perfect squares?

More information

Optimum use of a 4-element Yagi-Uda Antenna for the Reception of Several UHF TV Channels

Optimum use of a 4-element Yagi-Uda Antenna for the Reception of Several UHF TV Channels ENGNEE - Vol, No 3, [67-7], 7 The nstitution of Engineers, Sri anka htt://doiorg/438/engineerv5i3766 Otimum use of a 4-element Yagi-Uda Antenna for e ecetion of Several UHF TV Channels CJSAH Perera Abstract:

More information

AGS Math Algebra 2 Correlated to Kentucky Academic Expectations for Mathematics Grades 6 High School

AGS Math Algebra 2 Correlated to Kentucky Academic Expectations for Mathematics Grades 6 High School AGS Math Algebra 2 Correlated to Kentucky Academic Expectations for Mathematics Grades 6 High School Copyright 2008 Pearson Education, Inc. or its affiliate(s). All rights reserved AGS Math Algebra 2 Grade

More information

Section 5.2 Graphs of the Sine and Cosine Functions

Section 5.2 Graphs of the Sine and Cosine Functions A Periodic Function and Its Period Section 5.2 Graphs of the Sine and Cosine Functions A nonconstant function f is said to be periodic if there is a number p > 0 such that f(x + p) = f(x) for all x in

More information

Math Final Exam - 6/11/2015

Math Final Exam - 6/11/2015 Math 200 - Final Exam - 6/11/2015 Name: Section: Section Class/Times Instructor Section Class/Times Instructor 1 9:00%AM ( 9:50%AM Papadopoulos,%Dimitrios 11 1:00%PM ( 1:50%PM Swartz,%Kenneth 2 11:00%AM

More information

Numbers & Operations Chapter Problems

Numbers & Operations Chapter Problems Numbers & Operations 8 th Grade Chapter Questions 1. What are the properties of a square? 2. What does taking the square root have to do with the area of a square? 3. Why is it helpful to memorize perfect

More information

Chapter 01 Test. 1 Write an algebraic expression for the phrase the sum of g and 3. A 3g B 3g + 3 C g 3 D g Write a word phrase for.

Chapter 01 Test. 1 Write an algebraic expression for the phrase the sum of g and 3. A 3g B 3g + 3 C g 3 D g Write a word phrase for. hapter 01 Test Name: ate: 1 Write an algebraic expression for the phrase the sum of g and 3. 3g 3g + 3 g 3 g + 3 2 Write a word phrase for. negative 5 minus 4 plus a number n negative 5 minus 4 times a

More information

Course Syllabus - Online Prealgebra

Course Syllabus - Online Prealgebra Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 1.1 Whole Numbers, Place Value Practice Problems for section 1.1 HW 1A 1.2 Adding Whole Numbers Practice Problems for section 1.2 HW 1B 1.3 Subtracting Whole Numbers

More information

THE SINUSOIDAL WAVEFORM

THE SINUSOIDAL WAVEFORM Chapter 11 THE SINUSOIDAL WAVEFORM The sinusoidal waveform or sine wave is the fundamental type of alternating current (ac) and alternating voltage. It is also referred to as a sinusoidal wave or, simply,

More information

Initial Ranging for WiMAX (802.16e) OFDMA

Initial Ranging for WiMAX (802.16e) OFDMA Initial Ranging for WiMAX (80.16e) OFDMA Hisham A. Mahmoud, Huseyin Arslan Mehmet Kemal Ozdemir Electrical Engineering Det., Univ. of South Florida Logus Broadband Wireless Solutions 40 E. Fowler Ave.,

More information

Chapter 5. Drawing a cube. 5.1 One and two-point perspective. Math 4520, Spring 2015

Chapter 5. Drawing a cube. 5.1 One and two-point perspective. Math 4520, Spring 2015 Chapter 5 Drawing a cube Math 4520, Spring 2015 5.1 One and two-point perspective In Chapter 5 we saw how to calculate the center of vision and the viewing distance for a square in one or two-point perspective.

More information

Functions of several variables

Functions of several variables Chapter 6 Functions of several variables 6.1 Limits and continuity Definition 6.1 (Euclidean distance). Given two points P (x 1, y 1 ) and Q(x, y ) on the plane, we define their distance by the formula

More information

How to Do Trigonometry Without Memorizing (Almost) Anything

How to Do Trigonometry Without Memorizing (Almost) Anything How to Do Trigonometry Without Memorizing (Almost) Anything Moti en-ari Weizmann Institute of Science http://www.weizmann.ac.il/sci-tea/benari/ c 07 by Moti en-ari. This work is licensed under the reative

More information

A Robust Feature for Speech Detection*

A Robust Feature for Speech Detection* БЪЛГАРСКА АКАДЕМИЯ НА НАУКИТЕ. BULGARIAN ACADEMY OF SCIENCES КИБЕРНЕТИКА И ИНФОРМАЦИОННИ ТЕХНОЛОГИИ Том 4, 2 CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 4, No 2 София. 2004. Sofia A Robust Feature

More information

CIRCLE DIAGRAMS. Learning Objectives. Combinations of R and C circuits

CIRCLE DIAGRAMS. Learning Objectives. Combinations of R and C circuits H A P T E R18 earning Objectives ircle Diagram of a Series ircuit Rigorous Mathematical Treatment onstant Resistance but ariable Reactance Properties of onstant Reactance But ariable Resistance ircuit

More information

Fdaytalk.com SILVER ALL. All positive. (+ve) Rest all ( -ve ) CUPS TEA. (180+θ ) & (270-

Fdaytalk.com SILVER ALL. All positive. (+ve) Rest all ( -ve ) CUPS TEA. (180+θ ) & (270- SILVER (90+θ) & (180- θ) Sinθ & cosecθ (+ve) Rest all ( -ve ) TEA (180+θ ) & (70- θ) Tanθ & Cotθ ( +ve) Rest all ( -ve ) ALL (90- θ) & (360+θ) All positive CUPS (70+θ ) & (360-θ) Cosθ & secθ ( +ve ) Rest

More information

Control of Grid Integrated Voltage Source Converters under Unbalanced Conditions

Control of Grid Integrated Voltage Source Converters under Unbalanced Conditions Jon Are Suul Control of Grid Integrated Voltage Source Converters under Unbalanced Conditions Develoment of an On-line Frequency-adative Virtual Flux-based Aroach Thesis for the degree of Philosohiae Doctor

More information

Modeling and simulation of level control phenomena in a non-linear system

Modeling and simulation of level control phenomena in a non-linear system www.ijiarec.com ISSN:2348-2079 Volume-5 Issue- International Journal of Intellectual Advancements and Research in Engineering Comutations Modeling and simulation of level control henomena in a non-linear

More information

Underwater acoustic channel model and variations due to changes in node and buoy positions

Underwater acoustic channel model and variations due to changes in node and buoy positions Volume 24 htt://acousticalsociety.org/ 5th Pacific Rim Underwater Acoustics Conference Vladivostok, Russia 23-26 Setember 2015 Underwater acoustic channel model and variations due to changes in node and

More information

Exam: Friday 4 th May How to Revise. What to use to revise:

Exam: Friday 4 th May How to Revise. What to use to revise: National 5 Mathematics Exam Revision Questions Exam: Friday 4 th May 2018 How to Revise Use this booklet for homework Come to after school revision classes Come to the Easter holiday revision class There

More information

Improvements of Bayesian Matting

Improvements of Bayesian Matting Imrovements of Bayesian Matting Mikhail Sindeyev, Vadim Konushin, Vladimir Vezhnevets Deartment of omutational Mathematics and ybernetics, Grahics and Media Lab Moscow State Lomonosov University, Moscow,

More information

Tennessee Senior Bridge Mathematics

Tennessee Senior Bridge Mathematics A Correlation of to the Mathematics Standards Approved July 30, 2010 Bid Category 13-130-10 A Correlation of, to the Mathematics Standards Mathematics Standards I. Ways of Looking: Revisiting Concepts

More information

Kaleidoscope modes in large aperture Porro prism resonators

Kaleidoscope modes in large aperture Porro prism resonators Kaleidoscoe modes in large aerture Porro rism resonators Liesl Burger,2,* and Andrew Forbes,2 CSIR National Laser Centre, PO Box 395, Pretoria 000, South Africa 2 School of Physics, University of KwaZulu

More information

Relative Positioning in Europe: Influence of the GPS+Galileo Satellite Geometry

Relative Positioning in Europe: Influence of the GPS+Galileo Satellite Geometry Relative Positioning in Euroe: Influence of the GPS+Galileo Satellite Geometry Michaël Moins, Carine Bruyninx Royal Observatory of Belgium, Av. Circulaire 3, B-8 Brussels michael.moins@oma.be ABSTRACT

More information

Environmental/Natural Resources CDE

Environmental/Natural Resources CDE Environmental/Natural Resources CDE Compiled by Jonathon M. Hogge, Agriculture Instructor Rigby High School May, 2008 Career Development Purpose and Objectives: Purpose Objectives To foster cooperation

More information

DESIGN AND FABRICATION OF A DEEP DRAWING MACHINE: EXPERIMENTAL STUDY OF DRAWING FORCE VS DRAWING STROKE

DESIGN AND FABRICATION OF A DEEP DRAWING MACHINE: EXPERIMENTAL STUDY OF DRAWING FORCE VS DRAWING STROKE DESIGN AND FABRICATION OF A DEEP DRAWING MACHINE: EXPERIMENTAL STUDY OF DRAWING FORCE VS DRAWING STROKE Ahmed Ramahi, ramahi@najah.edu, a_ramahi@yahoo.com. Industrial Engineering Deartment, An-Najah National

More information

CHAPTER 5 INTERNAL MODEL CONTROL STRATEGY. The Internal Model Control (IMC) based approach for PID controller

CHAPTER 5 INTERNAL MODEL CONTROL STRATEGY. The Internal Model Control (IMC) based approach for PID controller CHAPTER 5 INTERNAL MODEL CONTROL STRATEGY 5. INTRODUCTION The Internal Model Control (IMC) based aroach for PID controller design can be used to control alications in industries. It is because, for ractical

More information

Design of PID Controller Based on an Expert System

Design of PID Controller Based on an Expert System International Journal of Comuter, Consumer and Control (IJ3C), Vol. 3, No.1 (014) 31 Design of PID Controller Based on an Exert System Wei Li Abstract For the instability of traditional control systems,

More information

Uplink Scheduling in Wireless Networks with Successive Interference Cancellation

Uplink Scheduling in Wireless Networks with Successive Interference Cancellation 1 Ulink Scheduling in Wireless Networks with Successive Interference Cancellation Majid Ghaderi, Member, IEEE, and Mohsen Mollanoori, Student Member, IEEE, Abstract In this aer, we study the roblem of

More information

Peak to Average Power Ratio Reduction in OFDM System by Clipping and Filtering

Peak to Average Power Ratio Reduction in OFDM System by Clipping and Filtering International Journal o Electronics Communication and Comuter echnology (IJECC) Volume Issue 3 (May 0) Pea to Average Power Ratio Reduction in OFDM System by Cliing and Filtering Sanjeev Saini Deartment

More information

Math is Cool Masters

Math is Cool Masters Sponsored by: Algebra II January 6, 008 Individual Contest Tear this sheet off and fill out top of answer sheet on following page prior to the start of the test. GENERAL INSTRUCTIONS applying to all tests:

More information

Parameter Controlled by Contrast Enhancement Using Color Image

Parameter Controlled by Contrast Enhancement Using Color Image Parameter Controlled by Contrast Enhancement Using Color Image Raguathi.S and Santhi.K Abstract -The arameter-controlled virtual histogram distribution (PCVHD) method is roosed in this roject to enhance

More information

Solutions to the problems from Written assignment 2 Math 222 Winter 2015

Solutions to the problems from Written assignment 2 Math 222 Winter 2015 Solutions to the problems from Written assignment 2 Math 222 Winter 2015 1. Determine if the following limits exist, and if a limit exists, find its value. x2 y (a) The limit of f(x, y) = x 4 as (x, y)

More information

IMPROVED POLYNOMIAL TRANSITION REGIONS ALGORITHM FOR ALIAS-SUPPRESSED SIGNAL SYNTHESIS

IMPROVED POLYNOMIAL TRANSITION REGIONS ALGORITHM FOR ALIAS-SUPPRESSED SIGNAL SYNTHESIS IMPROVED POLYNOMIAL TRANSITION REGIONS ALGORITHM FOR ALIAS-SUPPRESSED SIGNAL SYNTHESIS Dániel Ambrits and Balázs Bank Budaest University of Technology and Economics, Det. of Measurement and Information

More information

Pythagorean Theorem Unit

Pythagorean Theorem Unit Pythagorean Theorem Unit TEKS covered: ~ Square roots and modeling square roots, 8.1(C); 7.1(C) ~ Real number system, 8.1(A), 8.1(C); 7.1(A) ~ Pythagorean Theorem and Pythagorean Theorem Applications,

More information

Estimating with Square Roots

Estimating with Square Roots ACTIVITY 3.2 Estimating with Square Roots The square root of most numbers is not an integer. You can estimate the square root of a number that is not a perfect square. Begin by determining the two perfect

More information

6.00 Trigonometry Geometry/Circles Basics for the ACT. Name Period Date

6.00 Trigonometry Geometry/Circles Basics for the ACT. Name Period Date 6.00 Trigonometry Geometry/Circles Basics for the ACT Name Period Date Perimeter and Area of Triangles and Rectangles The perimeter is the continuous line forming the boundary of a closed geometric figure.

More information

MAT01B1: Calculus with Polar coordinates

MAT01B1: Calculus with Polar coordinates MAT01B1: Calculus with Polar coordinates Dr Craig 23 October 2018 My details: acraig@uj.ac.za Consulting hours: Monday 14h40 15h25 Thursday 11h30 12h55 Friday (this week) 11h20 12h25 Office C-Ring 508

More information

Practice Problems: Calculus in Polar Coordinates

Practice Problems: Calculus in Polar Coordinates Practice Problems: Calculus in Polar Coordinates Answers. For these problems, I want to convert from polar form parametrized Cartesian form, then differentiate and take the ratio y over x to get the slope,

More information

of the whole circumference.

of the whole circumference. TRIGONOMETRY WEEK 13 ARC LENGTH AND AREAS OF SECTORS If the complete circumference of a circle can be calculated using C = 2πr then the length of an arc, (a portion of the circumference) can be found by

More information

Trigonometry. An Overview of Important Topics

Trigonometry. An Overview of Important Topics Trigonometry An Overview of Important Topics 1 Contents Trigonometry An Overview of Important Topics... 4 UNDERSTAND HOW ANGLES ARE MEASURED... 6 Degrees... 7 Radians... 7 Unit Circle... 9 Practice Problems...

More information