Investigation of Excited Duffing s Oscillator Using Versions of Second Order Runge-Kutta Methods

Size: px
Start display at page:

Download "Investigation of Excited Duffing s Oscillator Using Versions of Second Order Runge-Kutta Methods"

Transcription

1 Internatinal Jurnal f Science and Technlgy Vlume 1 N. 1, December, 01 Investigatin f Excited Duffing s Oscillatr Using Versins f Secnd Order Runge-Kutta Methds Salau T. A.O. 1, Ajide O.O. Department f Mechanical Engineering, University f Ibadan, Nigeria. ABSTRACT This investigatin derived its strng mtivatin in the adptin f versins f secnd-rder Runge-Kutta methds where there is presently dearth f relevant literature t re-establish the cmplicated nature f slutin f Duffing scillatr dynamics. The chice f secnd-rder Runge-Kutta methds hinged n its simplest algebraic frmulatin f relevant cefficients based n Taylr series expansin cmparing with its higher rder cunterpart. Validatin f FORTRAN-90 cdes f algrithms was achieved by phase plts cmparisn reference t Dwell (1988) as standard. The nature f simulated slutins were visually determined with scatter plt f phase variables btained frm simultaneus implementatin f large number f versins f secnd-rder Runge-Kutta methds in cnjunctin with the crrespnding literature results. Validatin results are acceptable t within the accuracy limit f Runge-Kutta methds adpted. The scatter plts n phase plane fr cases investigated are well structured and bunded (strange) and cmpare crrespndingly well with literature Pincare sectins. This investigatin re-establishes the cmplex nature f slutin f Duffings scillatr dynamics. Its established prcedures prvide an alternative Pincare sectin methd and can be utilised fr preliminary verificatin f system dynamics behaviur subject t cnfirmatin by additinal dynamics tests. Keywrds: Excited Duffing Oscillatr, Secnd rder Runge-Kutta, Taylr Series and Pincare Sectin 1. INTRODUCTION Runge kutta technique is unarguably ne f the mst highly favured numerical tls in simulating chas dynamics. The furth-rder Runge-Kutta methd has been the preferred numerical integratin scheme fr slving chatic prblems in nn-linear systems (Mrthy et al, 1993). Accrding t the authrs wrk, the methd is cnsidered very accurate but requires very small timesteps and fur equatin slutins per time-step. These drawbacks hinder the slutin f chatic prblems in multi-degree-f-freedm (MDOF) systems. The paper presents the slutin f the chatic prblem f impacting single-degree-f-freedm (SDOF) scillatrs, using the Newmark methd which is cmputatinally efficient and uncnditinally stable. The results f their study are cmpared with thse btained frm the furth-rder Runge-Kutta methd. It is cncluded that the Newmark methd with an adequate check n the slutin accuracy culd give qualitatively the same results as the Runge- Kutta methd. The methd has the benefit f an extensin t MDOF real-life prblems f chas which culd be slved using numerical techniques. Chatic mtin f a virtual duble pendulum has been studied by Aan et al (011). Large scillatins f this pendulum were mdelled by the system f nnlinear differential equatins in the Hamiltn frm. This system was slved n the wrksheet f Cmputer Package Mathcad numerically, using the Runge-Kutta algrithm f furth rder. The results btained were demnstrated by sme frames f vide clips visualizing the chatic mtin f a duble physical pendulum. The paper cncluded that the results btained can serve as teaching aids in the prcess f analytical mechanics fr engineering students. A study which utilizes cmbinatin f phase plts, time steps distributin and adaptive time steps Runge-Kutta and fifth rder algrithms t investigate a harmnically Duffing scillatr has been carried ut by Salau and Ajide (01 (a) ). The bject f their study was t visually cmpare furth and fifth rder Runge-Kutta algrithms perfrmance as tls fr seeking the chatic slutins f a harmnically excited Duffing scillatr. It is deduced that althugh fifth rder algrithms favurs higher time steps and as such faster t execute than furth rder fr all studied cases, the reliability f results btained with furth rder wrth its higher recrded ttal cmputatin time steps perid. The bjective f Khatami et al (008) paper is the analytical investigatin f the dynamics f vibratin f parametrically excited scillatr with strng cubic negative nnlinearity based n Mathieu- Duffing equatin. The analytic investigatin was cnducted by using He s hmtpy-perturbatin methd (HPM).The authrs emplyed Runge-Kutta s algrithm t slve the gverning equatin via numerical slutin. The effects f variatin f the parameters n the accuracy f the hmtpy- perturbatin methd were equally studied. A IJST 01 IJST Publicatins UK. All rights reserved. 679

2 Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 mdified Runge Kutta methd with phase-lag f rder infinity fr the numerical slutin f the Schr dinger equatin and related prblems has been develped in Sims and Jesu s (001) paper. The mdified methd is based n the classical Runge Kutta methd f algebraic rder fur. The numerical results indicate that the new methd develped is mre efficient fr the numerical slutin f the Schr dinger equatin and related prblems than the well knwn classical Runge Kutta methd f algebraic rder fur. The behaviur f chatic dynamical systems is understd by calculating flws in phase space. Stable pints can emerge after iterating these flw many times, revealing significant infrmatin abut the system (Benjamin, 011). A rigrus integratr has been develped using Taylr mdels and implemented in the cde COSY INFINITY which integrates ODEs and PDEs rigrusly. The authr was able t illustrate these integratins f varius pint densities using an eighthrder Runge-Kutta with autmatic step size cntrl using reverse cmmunicatin. Optimum fractal disk dimensin algrithms has been used t characterize the evlved strange attractr when adaptive time steps Runge-Kutta furth and fifth rder algrithms are emplyed t cmpute simultaneusly multiple trajectries f a harmnically excited Duffing scillatr frm very clse initial cnditins ( Salau and Ajide, 01 (b) ). The bject f the study was t enable visual cmparisn f the chas diagrams in the excitatin amplitude versus frequency plane. The chas diagrams btained by furth rder algrithms is accepted t be mre reliable than its fifth rder cunterpart, its utility as tl fr searching pssible regins f parameter space where chatic behaviur/mtin exist may require additinal dynamic behaviur tests. Despite the availability f numerus literatures n the chice f Runge kutta as a numerical tl fr characterizing nnlinear dynamics, there is presently dearth f relevant literature which re-establishes the cmplicated nature f slutin f Duffing Oscillatr dynamics. The gal f this paper is t investigate this dynamics by adpting versins f secnd-rder Runge- Kutta methds. The fcus is what gemetrical shape will set f results btained when the same Duffing equatin is simulated frm the same initial cnditins (displacement and velcity) using several versins f secnd rder Runge-Kutta (1,,3,----n; fr very large n). The justificatin fr the chice f secnd rder Runge-Kutta is that it is the simplest methd where in the mathematical relatinships between cefficients can easily be btained withut much f rigrus derivatin.. METHODOLOGY.1 Harmnically Excited Duffing s Oscillatr The present study investigated nrmalized gverning equatin f harmnically excited Duffing system given by equatin (1) with reference t Mn (1987), Dwell (1988) and Narayanan and Jayaraman (1989b). x x x (1 x ) P Sin( t) (1) In equatin (1) x, x and x represents respectively displacement, velcity and acceleratin f the scillatr abut a set datum. The damp cefficient is. Amplitude strength f harmnic excitatin, excitatin frequency and time are respectively P, and t. Accrding t literature cmbinatin f = 0.168, P = 0.1, and = 1.0 r = , P = 0.09 and = 1.0 parameters leads t chatic behaviur. Hwever Dwell (1988) reprted perid ne, tw and fur at respective excitatin amplitude f 0.177, and when the damp and excitatin frequency are fixed respectively at and 1.0. The present investigatin utilised family f secnd rder Runge-Kutta methd driven at cnstant time step (0.01) t seek bth transient and steady slutins f equatin (1) ver a ttal f seventy (70) excitatin perids and initial cnditins (1, 0). Scatter diagrams were made in each studied case n phase plane with the last cmputed stable slutins.. Generalized Runge-Kutta Methds Accrding t Chapra and Canale (006) many variatins f explicit Runge-Kutta methd exist, hwever all can be cast in the generalized frm given by equatin (). x i 1 x i ( ti, xi, t) t () In equatin () ( t, x, t) is called an incremental i i functin and best interpreted as a representative slpe f multivariable functin f ( x, t) ver the time interval ( t ). The increment functin can be written in general frm 's 's as in equatin (3) fr cnstants and K. K K K (3) 1 n n 1.3 Secnd-Order Runge-Kutta Methds The secnd rder versin f equatin () is given by equatin (4). x i 1 x i ( K 1 K) t (4) 1 IJST 01 IJST Publicatins UK. All rights reserved. 680

3 Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 In equatin (4) K1 f ( t, x ) and K f ( t t, x K t). The cnstant i 1 i 11 1 cefficients are related as in equatins (5) t (7) with details equivalent relatinship between equatin (4) and Taylr series expansin t the secnd rder term prvided in Chapra and Canale (006). 1 (5) 1 1 (6) (7) The three simultaneus equatins (5) t (7) related fur unknwn cnstants and suggested nn availability f unique set f cnstants that satisfy these equatins. The secnd rder Runge-Kutta methds is a chice f this investigatin because f its simplest nature f the derivatin f equatins (5) t (7) cmpare with its higher rder cunterpart that invlve a large amunt f tedius, time cnsuming and errr prne algebraic manipulatin. Mre insights are prvided by Cartwright and Pir (199). The present study assumed nine hundred and ninety nine (999) distinct values fr within using cnstant step size f 1 and slved fr ther three cnstants using equatins (5) t (7). The cmbinatin f crrespnding 1, 1, 11 and the assumed i i tagged (V1, V V999) were used ne after the ther t seek the slutins f equatin (1). Mathematical arguments by Chapra and Canale (006) are that each f these versins (V1, V V999) wuld prduce same results prvided the rdinary differential equatins (ODE) have slutin that is quadratic, linear r cnstant and varied results therwise. It is here that lays the pivt f the present study with ne f the bjective being t bserve any structural pattern f assembly f slutin pints frm versins f secnd-rder Runge- Kutta methds n the phase plane. The last f cmputed displacement and velcity in the steady slutins realm prduced by V1, V V999 were used t plt scatter diagrams n the phase plane..4 Parameters f Cases Investigated A cnstant time step ( t = 0.01), initial cnditins (1, 0) and crrespnding cefficients cmbinatin (V1, V V999) are cmmn t all investigated cases. The unsteady slutins spanned the first twenty (0) simulatin perid reference t harmnic excitatin. Case-I: = 0.168, P = 0.1, and = 1. Case-II: = , P = 0.09, and = 1.0 Case-III: = 0.168, P = 0.197, and = 1. Case-IV: = 0.168, P = 0.178, and = 1. Case-V: = 0.168, P = 0.177, and = 1. Case-VI: = 0.168, P = 0.1, and = 1 in additin t table 1. The versin (V500) is ne f the three mst cmmnly used and preferred. Cefficients Table 1: Cefficients cmbinatin fr selected versin f secnd-rder Runge-Kutta methds Versins f secnd-rder Runge-Kutta methds V100 V00 V300 V400 V500 V600 V700 V800 V RESULTS AND DISCUSSIONS The secnd-rder Runge-Kutta methds apprpriately cded in FORTRAN-90 was used t cmpute results presented under this sectin. The phase plts in figures 1 and were used t validate Runge-Kutta algrithms by cmparing crrespnding figures with its literature cunterpart. Figure 1 cmpare very well its literature cunterpart which was cmputed by higher rder Runge- Kutta. The bserved significant variatin in figure with its literature cunterpart can be explained respect t higher rder Runge-Kutta difference. Dynamics cmputatins with higher rder Runge-Kutta methds are well knwn t be stable and mre reliable than lwer rder cunterpart. IJST 01 IJST Publicatins UK. All rights reserved. 681

4 Velcity Velcity Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 Phase plt (Case-I) Figure 1: Steady Phase plt (Case-I) cmputed by V500 ver 41 st t 70 th excitatin perid Phase plt (Case-V) Figure : Steady Phase plt (Case-V) cmputed by V500 ver 41 st t 70 th excitatin perid IJST 01 IJST Publicatins UK. All rights reserved. 68

5 Velcity Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, V100 V00 V300 V400 V500 V600 V700 V800 V Time Figure 3: Steady time displacement histry (Case-VI) ver 70 th excitatin perid V100 V00 V300 V400 V500 V600 V700 V800 V Time Figure 4: Steady time velcity histry (Case-VI) ver 70 th excitatin perid. It is amazing t nte that as wildly varied as time histry in figures 3 and 4 are the difference amng the series cmputatin is the versin f the Runge-Kutta methds used. The time displacement histry predicted ver a whle perid f excitatin by versin V800 was almst linear. The cmmn and preferred versin (V500) f secnd-rder Runge-Kutta methds is n exceptin in the bserved wild variatins. Furthermre the series in figures 3 and 4 impresses large number f bjects swarming at different rate with cmmn fcus being t get nt arbitrary pints n the strange attractr f Duffing s scillatr. Sme f these attractrs are reprted in figures 5 t 9. IJST 01 IJST Publicatins UK. All rights reserved. 683

6 Velcity Velciy Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 Scatter plt (Case-I) Figure 5: Steady scatter plt (Case-I) phase variables n phase plane cmputed at the end f 70 th excitatin perid Scatter plt (Case-II) Figure 6: Steady scatter plt (Case-II) phase variables n phase plane cmputed at the end f 70 th excitatin perid IJST 01 IJST Publicatins UK. All rights reserved. 684

7 Velcity Velcity Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 Scatter plt (Case-III) Figure 7: Steady scatter plt (Case-III) phase variables n phase plane cmputed at the end f 70 th excitatin perid Scatter plt (Case-IV) Figure 8: Steady scatter plt (Case-IV) phase variables n phase plane cmputed at the end f 70 th excitatin perid IJST 01 IJST Publicatins UK. All rights reserved. 685

8 Velcity Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 Scatter plt (Case-V) Figure 9: Steady scatter plt (Case-V) phase variables n phase plane cmputed at the end f 70 th excitatin perid The strange structured and bunded images f figures 5 and 6 are qualitatively acceptable within the accuracy limit f secnd-rder Runge-Kutta methds as equivalent t the Pincare sectins reprted by Dwell (1988) and Salau and Ajide (01 (c)) and fr respective crrespnding driven parameters cmbinatin. Therefre it can be cncluded that equivalent Pincare sectin can be btained by simulatin f equatin (1) either frm set f very clse multiple initial cnditins r by implementatin f large number f varied versin f Runge-Kutta methds. The standardised methd f generating Pincare sectins used by Dwell (1988) being the strbscpic reprt f predicted phase variables at interval f ne excitatin length perid perfrmed repeatedly ver infinite time length. Figure 7 match fairly the finite average dts number f perid fur respnse reprted by Dwell (1988). Hwever figures 8 and 9 deviated significantly frm respective perid tw and ne that Dwell (1988) predicted. The nticeable deviatin can be accunted t lwer instead f higher rder Runge- Kutta methds used. The phase plt in figure elucidates inaccuracy f adpted slutin methd and why figures 8 and 9 appeared disjinted unlike their figure 5 cunterpart. 4. CONCLUSIONS This study re-affirms cmplicated and varied nature f slutins t gverning equatin f Duffing s scillatr as change frm ne set f driven parameters cmbinatin t anther are effected. Thrugh use f scatter plt f the phase variables btained frm versins f Runge-Kutta methds emerge structured and bunded strange images n the phase plane that qualitatively replicate Pincare sectins reference t literature. The bservatin was cnsistent especially fr driven parameters cmbinatin that guarantees chatic respnse f the Duffing s Oscillatr. The utility f the prcedures f this study can be in the preliminary verificatin f chatic behaviur f dynamic systems subject t cnfirmatin by additinal acceptable dynamic tests. REFERENCES [1] Aan A., Aarend E. and Heinl M. (011), chatic mtin f a duble pendulum. Agrnmy Research Bisystem Engineering, Special Issue 1, Pg.5-1 [] Benjamin L. (011),Verificatin f a rigrus integratr using an eighth-rder Runge-Kutta, Michigan State University, Taylr Mdel Methds VII. [3] Dwell E.H. (1988), Chatic scillatins in mechanical systems, Cmputatinal Mechanics, 3, [4] Francis C. Mn (1987), Chatic Vibratins-An Intrductin fr Applied Scientists and Engineers, Jhn Wiley & Sns, New Yrk, ISBN [5] Julyan, H.E. Cartwright and Oreste Pir (199), The Dynamics f Runge-Kutta methds, Internatinal Jurnal f Bifurcatin and Chas,, pp IJST 01 IJST Publicatins UK. All rights reserved. 686

9 Internatinal Jurnal f Science and Technlgy (IJST) Vlume 1 N. 1, December, 01 [6] Khatami I., Pashai M.H., and Tlu N. (008), Cmparative Vibratin Analysis f a Parametrically Nnlinear Excited Oscillatr Using HPM and Numerical Methd.Hindawi Publishing Crpratin Mathematical Prblems in Engineering, Vlume 008, Article ID , 11 pages.di: /008/ [7] Mrthy R. I. K., Kakdkar A., Srirangarajan H. R. and Suryanarayan S. (1993), An assessment f the newmark methd fr slving chatic vibratins f impacting scillatrs Cmputers & Structures, 49 (4). pp ISSN [8] Narayanan S. and Jayaraman K. (1989). Cntrl f Chatic Oscillatins by Vibratin Absrber. ASME Design Technical Cnference, 1 th Biennial Cnference n Mechanical Vibratin and Nise. DE 18.5, [9] Salau T.A.O. and Ajide O.O. (01( a) ), Cmparative Analysis f Time Steps Distributin in Runge-Kutta Algrithms, Internatinal Jurnal f Scientific & Engineering Research Vlume 3, Issue 1, January ISSN [10] Salau T.A.O. and Ajide O.O.(01 (b) ), Cmparative Analysis f Numerically Cmputed Chas Diagrams in Duffing Oscillatr, Jurnal f Mechanical Engineering and Autmatin 01, Vl.(4): DOI: /j.jmea Scientific and Academic Publishing, USA. [11] Salau, T.A.O. and Ajide, O.O. (01 ( c) ), Fractal Characterizatin f evlving Trajectries f Duffing Oscillatr, Internatinal Jurnal f Advances in Engineering & Technlgy Research (IJAET), Vlume, Issue 1, Pg [1] Sims T.E., Jesu s V. A. (001), A mdified Runge Kutta methd with phase-lag f rder infinity fr the numerical slutin f the Schr dinger equatin and related prblems. Cmputers and Chemistry, Vl.5, Pg [13] Steven C. Chapra and Raymnd P. Canale (006), Numerical methds fr engineers, Fifth editin, McGraw-Hill (Internatinal editin), New Yrk, ISBN IJST 01 IJST Publicatins UK. All rights reserved. 687

Determining the Accuracy of Modal Parameter Estimation Methods

Determining the Accuracy of Modal Parameter Estimation Methods Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system

More information

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student

More information

Quantum Harmonic Oscillator, a computational approach

Quantum Harmonic Oscillator, a computational approach IOSR Jurnal f Applied Physics (IOSR-JAP) e-issn: 78-4861.Vlume 7, Issue 5 Ver. II (Sep. - Oct. 015), PP 33-38 www.isrjurnals Quantum Harmnic Oscillatr, a cmputatinal apprach Sarmistha Sahu, Maharani Lakshmi

More information

Kinetic Model Completeness

Kinetic Model Completeness 5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 2: Mdeling change. In Petre Department f IT, Åb Akademi http://users.ab.fi/ipetre/cmpmd/ Cntent f the lecture Basic paradigm f mdeling change Examples Linear dynamical

More information

Modeling the Nonlinear Rheological Behavior of Materials with a Hyper-Exponential Type Function

Modeling the Nonlinear Rheological Behavior of Materials with a Hyper-Exponential Type Function www.ccsenet.rg/mer Mechanical Engineering Research Vl. 1, N. 1; December 011 Mdeling the Nnlinear Rhelgical Behavir f Materials with a Hyper-Expnential Type Functin Marc Delphin Mnsia Département de Physique,

More information

February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA

February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA Mental Experiment regarding 1D randm walk Cnsider a cntainer f gas in thermal

More information

On Huntsberger Type Shrinkage Estimator for the Mean of Normal Distribution ABSTRACT INTRODUCTION

On Huntsberger Type Shrinkage Estimator for the Mean of Normal Distribution ABSTRACT INTRODUCTION Malaysian Jurnal f Mathematical Sciences 4(): 7-4 () On Huntsberger Type Shrinkage Estimatr fr the Mean f Nrmal Distributin Department f Mathematical and Physical Sciences, University f Nizwa, Sultanate

More information

5 th grade Common Core Standards

5 th grade Common Core Standards 5 th grade Cmmn Cre Standards In Grade 5, instructinal time shuld fcus n three critical areas: (1) develping fluency with additin and subtractin f fractins, and develping understanding f the multiplicatin

More information

Least Squares Optimal Filtering with Multirate Observations

Least Squares Optimal Filtering with Multirate Observations Prc. 36th Asilmar Cnf. n Signals, Systems, and Cmputers, Pacific Grve, CA, Nvember 2002 Least Squares Optimal Filtering with Multirate Observatins Charles W. herrien and Anthny H. Hawes Department f Electrical

More information

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects

Pressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential

More information

Sensible Performance Analysis of Multi-Pass Cross Flow Heat Exchangers

Sensible Performance Analysis of Multi-Pass Cross Flow Heat Exchangers 108, 11002 (2017) DOI: 101051/ mateccnf/201710811002 Sensible Perfrmance nalysis f Multi-Pass Crss Flw Heat Exchangers 1 Karthik Silaipillayarputhur, awfiq l-mughanam 2, bdulelah I l-niniya 2 1 PO Bx 380,

More information

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture

A Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu

More information

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink American Jurnal f Engineering Research (AJER) 016 American Jurnal f Engineering Research (AJER) e-issn: 30-0847 p-issn : 30-0936 Vlume-5, Issue-, pp-9-36 www.ajer.rg Research Paper Open Access Design and

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison Jurnal f Physics: Cnference Series OPEN ACCESS Aerdynamic Separability in Tip Speed Rati and Separability in Wind Speed- a Cmparisn T cite this article: M L Gala Sants et al 14 J. Phys.: Cnf. Ser. 555

More information

Beam vibrations: Discrete mass and stiffness models

Beam vibrations: Discrete mass and stiffness models Beam vibratins: Discrete mass and stiffness mdels Ana Cláudia Susa Neves ana.neves@tecnic.ulisba.pt Institut Superir Técnic, Universidade de Lisba, Prtugal May, 2015 Abstract In the present wrk the dynamic

More information

Math Foundations 20 Work Plan

Math Foundations 20 Work Plan Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Chapter 4. Unsteady State Conduction

Chapter 4. Unsteady State Conduction Chapter 4 Unsteady State Cnductin Chapter 5 Steady State Cnductin Chee 318 1 4-1 Intrductin ransient Cnductin Many heat transfer prblems are time dependent Changes in perating cnditins in a system cause

More information

Free Vibrations of Catenary Risers with Internal Fluid

Free Vibrations of Catenary Risers with Internal Fluid Prceeding Series f the Brazilian Sciety f Applied and Cmputatinal Mathematics, Vl. 4, N. 1, 216. Trabalh apresentad n DINCON, Natal - RN, 215. Prceeding Series f the Brazilian Sciety f Cmputatinal and

More information

Lead/Lag Compensator Frequency Domain Properties and Design Methods

Lead/Lag Compensator Frequency Domain Properties and Design Methods Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin

More information

ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES

ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES Flavia Chira 1, Mihai Banica 1, Dinu Sticvici 1 1 Assc.Prf., PhD. Eng., Nrth University f Baia Mare, e-mail: Flavia.Chira@ubm.r

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

Enhancing Performance of MLP/RBF Neural Classifiers via an Multivariate Data Distribution Scheme

Enhancing Performance of MLP/RBF Neural Classifiers via an Multivariate Data Distribution Scheme Enhancing Perfrmance f / Neural Classifiers via an Multivariate Data Distributin Scheme Halis Altun, Gökhan Gelen Nigde University, Electrical and Electrnics Engineering Department Nigde, Turkey haltun@nigde.edu.tr

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department

More information

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION NUROP Chinese Pinyin T Chinese Character Cnversin NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION CHIA LI SHI 1 AND LUA KIM TENG 2 Schl f Cmputing, Natinal University f Singapre 3 Science

More information

EXPERIMENTAL STUDY ON DISCHARGE COEFFICIENT OF OUTFLOW OPENING FOR PREDICTING CROSS-VENTILATION FLOW RATE

EXPERIMENTAL STUDY ON DISCHARGE COEFFICIENT OF OUTFLOW OPENING FOR PREDICTING CROSS-VENTILATION FLOW RATE EXPERIMENTAL STUD ON DISCHARGE COEFFICIENT OF OUTFLOW OPENING FOR PREDICTING CROSS-VENTILATION FLOW RATE Tmnbu Gt, Masaaki Ohba, Takashi Kurabuchi 2, Tmyuki End 3, shihik Akamine 4, and Tshihir Nnaka 2

More information

NGSS High School Physics Domain Model

NGSS High School Physics Domain Model NGSS High Schl Physics Dmain Mdel Mtin and Stability: Frces and Interactins HS-PS2-1: Students will be able t analyze data t supprt the claim that Newtn s secnd law f mtin describes the mathematical relatinship

More information

Math Foundations 10 Work Plan

Math Foundations 10 Work Plan Math Fundatins 10 Wrk Plan Units / Tpics 10.1 Demnstrate understanding f factrs f whle numbers by: Prime factrs Greatest Cmmn Factrs (GCF) Least Cmmn Multiple (LCM) Principal square rt Cube rt Time Frame

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

3D FE Modeling Simulation of Cold Rotary Forging with Double Symmetry Rolls X. H. Han 1, a, L. Hua 1, b, Y. M. Zhao 1, c

3D FE Modeling Simulation of Cold Rotary Forging with Double Symmetry Rolls X. H. Han 1, a, L. Hua 1, b, Y. M. Zhao 1, c Materials Science Frum Online: 2009-08-31 ISSN: 1662-9752, Vls. 628-629, pp 623-628 di:10.4028/www.scientific.net/msf.628-629.623 2009 Trans Tech Publicatins, Switzerland 3D FE Mdeling Simulatin f Cld

More information

Effects of piezo-viscous dependency on squeeze film between circular plates: Couple Stress fluid model

Effects of piezo-viscous dependency on squeeze film between circular plates: Couple Stress fluid model Turkish Jurnal f Science & Technlgy Vlume 9(1), 97-103, 014 Effects f piez-viscus dependency n squeeze film between circular plates: Cuple Stress fluid mdel Abstract U. P. SINGH Ansal Technical Campus,

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

Simple Models of Foundation-Soil Interactions

Simple Models of Foundation-Soil Interactions IACSIT Internatinal Jurnal f Engineering and Technlgy, Vl. 5, N. 5, Octber 013 Simple Mdels f Fundatin-Sil Interactins Shi-Shuenn Chen and Jun-Yang Shi Abstract This study aims t develp a series f simplified

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

On Boussinesq's problem

On Boussinesq's problem Internatinal Jurnal f Engineering Science 39 (2001) 317±322 www.elsevier.cm/lcate/ijengsci On Bussinesq's prblem A.P.S. Selvadurai * Department f Civil Engineering and Applied Mechanics, McGill University,

More information

Optimization Programming Problems For Control And Management Of Bacterial Disease With Two Stage Growth/Spread Among Plants

Optimization Programming Problems For Control And Management Of Bacterial Disease With Two Stage Growth/Spread Among Plants Internatinal Jurnal f Engineering Science Inventin ISSN (Online): 9 67, ISSN (Print): 9 676 www.ijesi.rg Vlume 5 Issue 8 ugust 06 PP.0-07 Optimizatin Prgramming Prblems Fr Cntrl nd Management Of Bacterial

More information

Numerical Simulation of the Thermal Resposne Test Within the Comsol Multiphysics Environment

Numerical Simulation of the Thermal Resposne Test Within the Comsol Multiphysics Environment Presented at the COMSOL Cnference 2008 Hannver University f Parma Department f Industrial Engineering Numerical Simulatin f the Thermal Respsne Test Within the Cmsl Multiphysics Envirnment Authr : C. Crradi,

More information

Department of Electrical Engineering, University of Waterloo. Introduction

Department of Electrical Engineering, University of Waterloo. Introduction Sectin 4: Sequential Circuits Majr Tpics Types f sequential circuits Flip-flps Analysis f clcked sequential circuits Mre and Mealy machines Design f clcked sequential circuits State transitin design methd

More information

Chaotic behavior of the piccolo

Chaotic behavior of the piccolo Buens Aires 5 t 9 September, 2016 Acustics fr the 21 st Century PROCEEDINGS f the 22 nd Internatinal Cngress n Acustics Numerical Cmputatin in Musical Acustics: Paper ICA2016-54 Chatic behavir f the piccl

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

Methods for Determination of Mean Speckle Size in Simulated Speckle Pattern

Methods for Determination of Mean Speckle Size in Simulated Speckle Pattern 0.478/msr-04-004 MEASUREMENT SCENCE REVEW, Vlume 4, N. 3, 04 Methds fr Determinatin f Mean Speckle Size in Simulated Speckle Pattern. Hamarvá, P. Šmíd, P. Hrváth, M. Hrabvský nstitute f Physics f the Academy

More information

The standards are taught in the following sequence.

The standards are taught in the following sequence. B L U E V A L L E Y D I S T R I C T C U R R I C U L U M MATHEMATICS Third Grade In grade 3, instructinal time shuld fcus n fur critical areas: (1) develping understanding f multiplicatin and divisin and

More information

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

More information

THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC TESTS OF ELECTRONIC ASSEMBLIES

THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC TESTS OF ELECTRONIC ASSEMBLIES PREFERRED RELIABILITY PAGE 1 OF 5 PRACTICES PRACTICE NO. PT-TE-1409 THERMAL-VACUUM VERSUS THERMAL- ATMOSPHERIC Practice: Perfrm all thermal envirnmental tests n electrnic spaceflight hardware in a flight-like

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

Introduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem

Introduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem A Generalized apprach fr cmputing the trajectries assciated with the Newtnian N Bdy Prblem AbuBar Mehmd, Syed Umer Abbas Shah and Ghulam Shabbir Faculty f Engineering Sciences, GIK Institute f Engineering

More information

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must M.E. Aggune, M.J. Dambrg, M.A. El-Sharkawi, R.J. Marks II and L.E. Atlas, "Dynamic and static security assessment f pwer systems using artificial neural netwrks", Prceedings f the NSF Wrkshp n Applicatins

More information

DESIGN OPTIMIZATION OF HIGH-LIFT CONFIGURATIONS USING A VISCOUS ADJOINT-BASED METHOD

DESIGN OPTIMIZATION OF HIGH-LIFT CONFIGURATIONS USING A VISCOUS ADJOINT-BASED METHOD DESIGN OPTIMIZATION OF HIGH-LIFT CONFIGURATIONS USING A VISCOUS ADJOINT-BASED METHOD Sangh Kim Stanfrd University Juan J. Alns Stanfrd University Antny Jamesn Stanfrd University 40th AIAA Aerspace Sciences

More information

Comparison of two variable parameter Muskingum methods

Comparison of two variable parameter Muskingum methods Extreme Hydrlgical Events: Precipitatin, Flds and Drughts (Prceedings f the Ykhama Sympsium, July 1993). IAHS Publ. n. 213, 1993. 129 Cmparisn f tw variable parameter Muskingum methds M. PERUMAL Department

More information

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus A Crrelatin f Suth Carlina Academic Standards fr Mathematics Precalculus INTRODUCTION This dcument demnstrates hw Precalculus (Blitzer), 4 th Editin 010, meets the indicatrs f the. Crrelatin page references

More information

Numerical Simulation of the Flow Field in a Friction-Type Turbine (Tesla Turbine)

Numerical Simulation of the Flow Field in a Friction-Type Turbine (Tesla Turbine) Numerical Simulatin f the Flw Field in a Frictin-Type Turbine (Tesla Turbine) Institute f Thermal Pwerplants Vienna niversity f Technlgy Getreidemarkt 9/313, A-6 Wien Andrés Felipe Rey Ladin Schl f Engineering,

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive

More information

SOLUTION OF THREE-CONSTRAINT ENTROPY-BASED VELOCITY DISTRIBUTION

SOLUTION OF THREE-CONSTRAINT ENTROPY-BASED VELOCITY DISTRIBUTION SOLUTION OF THREECONSTRAINT ENTROPYBASED VELOCITY DISTRIBUTION By D. E. Barbe,' J. F. Cruise, 2 and V. P. Singh, 3 Members, ASCE ABSTRACT: A twdimensinal velcity prfile based upn the principle f maximum

More information

A Matrix Representation of Panel Data

A Matrix Representation of Panel Data web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins

More information

Fall 2013 Physics 172 Recitation 3 Momentum and Springs

Fall 2013 Physics 172 Recitation 3 Momentum and Springs Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.

More information

7 TH GRADE MATH STANDARDS

7 TH GRADE MATH STANDARDS ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,

More information

MATHEMATICS SYLLABUS SECONDARY 5th YEAR

MATHEMATICS SYLLABUS SECONDARY 5th YEAR Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE

More information

Lecture 6: Phase Space and Damped Oscillations

Lecture 6: Phase Space and Damped Oscillations Lecture 6: Phase Space and Damped Oscillatins Oscillatins in Multiple Dimensins The preius discussin was fine fr scillatin in a single dimensin In general, thugh, we want t deal with the situatin where:

More information

Resampling Methods. Chapter 5. Chapter 5 1 / 52

Resampling Methods. Chapter 5. Chapter 5 1 / 52 Resampling Methds Chapter 5 Chapter 5 1 / 52 1 51 Validatin set apprach 2 52 Crss validatin 3 53 Btstrap Chapter 5 2 / 52 Abut Resampling An imprtant statistical tl Pretending the data as ppulatin and

More information

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.

More information

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA Mdelling f Clck Behaviur Dn Percival Applied Physics Labratry University f Washingtn Seattle, Washingtn, USA verheads and paper fr talk available at http://faculty.washingtn.edu/dbp/talks.html 1 Overview

More information

David HORN and Irit OPHER. School of Physics and Astronomy. Raymond and Beverly Sackler Faculty of Exact Sciences

David HORN and Irit OPHER. School of Physics and Astronomy. Raymond and Beverly Sackler Faculty of Exact Sciences Cmplex Dynamics f Neurnal Threshlds David HORN and Irit OPHER Schl f Physics and Astrnmy Raymnd and Beverly Sackler Faculty f Exact Sciences Tel Aviv University, Tel Aviv 69978, Israel hrn@neurn.tau.ac.il

More information

A study on GPS PDOP and its impact on position error

A study on GPS PDOP and its impact on position error IndianJurnalfRadi& SpacePhysics V1.26,April1997,pp. 107-111 A study n GPS and its impact n psitin errr P Banerjee,AnindyaBse& B SMathur TimeandFrequencySectin,NatinalPhysicalLabratry,NewDelhi110012 Received19June

More information

Checking the resolved resonance region in EXFOR database

Checking the resolved resonance region in EXFOR database Checking the reslved resnance regin in EXFOR database Gttfried Bertn Sciété de Calcul Mathématique (SCM) Oscar Cabells OECD/NEA Data Bank JEFF Meetings - Sessin JEFF Experiments Nvember 0-4, 017 Bulgne-Billancurt,

More information

Performance Bounds for Detect and Avoid Signal Sensing

Performance Bounds for Detect and Avoid Signal Sensing Perfrmance unds fr Detect and Avid Signal Sensing Sam Reisenfeld Real-ime Infrmatin etwrks, University f echnlgy, Sydney, radway, SW 007, Australia samr@uts.edu.au Abstract Detect and Avid (DAA) is a Cgnitive

More information

(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f

(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f 1.0 Review f Electrmagnetic Field Thery Selected aspects f electrmagnetic thery are reviewed in this sectin, with emphasis n cncepts which are useful in understanding magnet design. Detailed, rigrus treatments

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

The Study of a Dual-Mode Ring Oscillator

The Study of a Dual-Mode Ring Oscillator > ccepted fr publicatin in IEEE TCS - II < The Study f a Dual-Mde ing Oscillatr Zuw-Zun Chen and Tai-Cheng Lee Member IEEE bstract n analytical investigatin f a dual-mde ring scillatr is presented. The

More information

ABSORPTION OF GAMMA RAYS

ABSORPTION OF GAMMA RAYS 6 Sep 11 Gamma.1 ABSORPTIO OF GAMMA RAYS Gamma rays is the name given t high energy electrmagnetic radiatin riginating frm nuclear energy level transitins. (Typical wavelength, frequency, and energy ranges

More information

Linearization of the Output of a Wheatstone Bridge for Single Active Sensor. Madhu Mohan N., Geetha T., Sankaran P. and Jagadeesh Kumar V.

Linearization of the Output of a Wheatstone Bridge for Single Active Sensor. Madhu Mohan N., Geetha T., Sankaran P. and Jagadeesh Kumar V. Linearizatin f the Output f a Wheatstne Bridge fr Single Active Sensr Madhu Mhan N., Geetha T., Sankaran P. and Jagadeesh Kumar V. Dept. f Electrical Engineering, Indian Institute f Technlgy Madras, Chennai

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 11: Mdeling with systems f ODEs In Petre Department f IT, Ab Akademi http://www.users.ab.fi/ipetre/cmpmd/ Mdeling with differential equatins Mdeling strategy Fcus

More information

ANALYTICAL MODEL FOR PREDICTING STRESS-STRAIN BEHAVIOUR OF BACTERIAL CONCRETE

ANALYTICAL MODEL FOR PREDICTING STRESS-STRAIN BEHAVIOUR OF BACTERIAL CONCRETE Internatinal Jurnal f Civil Engineering and Technlgy (IJCIET) Vlume 9, Issue 11, Nvember 018, pp. 383 393, Article ID: IJCIET_09_11_38 Available nline at http://www.iaeme.cm/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=11

More information

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression 3.3.4 Prstate Cancer Data Example (Cntinued) 3.4 Shrinkage Methds 61 Table 3.3 shws the cefficients frm a number f different selectin and shrinkage methds. They are best-subset selectin using an all-subsets

More information

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS 1 Influential bservatins are bservatins whse presence in the data can have a distrting effect n the parameter estimates and pssibly the entire analysis,

More information

A Quick Overview of the. Framework for K 12 Science Education

A Quick Overview of the. Framework for K 12 Science Education A Quick Overview f the NGSS EQuIP MODULE 1 Framewrk fr K 12 Science Educatin Mdule 1: A Quick Overview f the Framewrk fr K 12 Science Educatin This mdule prvides a brief backgrund n the Framewrk fr K-12

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

Biocomputers. [edit]scientific Background

Biocomputers. [edit]scientific Background Bicmputers Frm Wikipedia, the free encyclpedia Bicmputers use systems f bilgically derived mlecules, such as DNA and prteins, t perfrm cmputatinal calculatins invlving string, retrieving, and prcessing

More information

Modelling of NOLM Demultiplexers Employing Optical Soliton Control Pulse

Modelling of NOLM Demultiplexers Employing Optical Soliton Control Pulse Micwave and Optical Technlgy Letters, Vl. 1, N. 3, 1999. pp. 05-08 Mdelling f NOLM Demultiplexers Emplying Optical Slitn Cntrl Pulse Z. Ghassemly, C. Y. Cheung & A. K. Ray Electrnics Research Grup, Schl

More information

Analysis of Curved Bridges Crossing Fault Rupture Zones

Analysis of Curved Bridges Crossing Fault Rupture Zones Analysis f Curved Bridges Crssing Fault Rupture Znes R.K.Gel, B.Qu & O.Rdriguez Dept. f Civil and Envirnmental Engineering, Califrnia Plytechnic State University, San Luis Obisp, CA 93407, USA SUMMARY:

More information

Module 4: General Formulation of Electric Circuit Theory

Module 4: General Formulation of Electric Circuit Theory Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated

More information

Lecture 5: Equilibrium and Oscillations

Lecture 5: Equilibrium and Oscillations Lecture 5: Equilibrium and Oscillatins Energy and Mtin Last time, we fund that fr a system with energy cnserved, v = ± E U m ( ) ( ) One result we see immediately is that there is n slutin fr velcity if

More information

BASD HIGH SCHOOL FORMAL LAB REPORT

BASD HIGH SCHOOL FORMAL LAB REPORT BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used

More information

Floating Point Method for Solving Transportation. Problems with Additional Constraints

Floating Point Method for Solving Transportation. Problems with Additional Constraints Internatinal Mathematical Frum, Vl. 6, 20, n. 40, 983-992 Flating Pint Methd fr Slving Transprtatin Prblems with Additinal Cnstraints P. Pandian and D. Anuradha Department f Mathematics, Schl f Advanced

More information

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s .9 Kinetic Mlecular Thery Calculate the effective (rms) speeds f the He and Ne atms in the He-Ne gas laser tube at rm temperature (300 K). Slutin T find the rt mean square velcity (v rms ) f He atms at

More information

Computational Methods CMSC/AMSC/MAPL 460. Ramani Duraiswami, Dept. of Computer Science

Computational Methods CMSC/AMSC/MAPL 460. Ramani Duraiswami, Dept. of Computer Science Cmputatinal Methds CMSC/AMSC/MAPL 460 Ramani Duraiswami, Dept. f Cmputer Science Curse Gals Intrductin t the use f scientific cmputing techniques t slve prblems in varius dmains Understand principles behind

More information

THE TOPOLOGY OF SURFACE SKIN FRICTION AND VORTICITY FIELDS IN WALL-BOUNDED FLOWS

THE TOPOLOGY OF SURFACE SKIN FRICTION AND VORTICITY FIELDS IN WALL-BOUNDED FLOWS THE TOPOLOGY OF SURFACE SKIN FRICTION AND VORTICITY FIELDS IN WALL-BOUNDED FLOWS M.S. Chng Department f Mechanical Engineering The University f Melburne Victria 3010 AUSTRALIA min@unimelb.edu.au J.P. Mnty

More information

5.4 Measurement Sampling Rates for Daily Maximum and Minimum Temperatures

5.4 Measurement Sampling Rates for Daily Maximum and Minimum Temperatures 5.4 Measurement Sampling Rates fr Daily Maximum and Minimum Temperatures 1 1 2 X. Lin, K. G. Hubbard, and C. B. Baker University f Nebraska, Lincln, Nebraska 2 Natinal Climatic Data Center 1 1. INTRODUCTION

More information

Increasing Heat Transfer in Microchannels with Surface Acoustic Waves*

Increasing Heat Transfer in Microchannels with Surface Acoustic Waves* Increasing Heat Transfer in Micrchannels with Surface Acustic Waves* Shaun Berry 0/9/04 *This wrk was spnsred by the Department f the Air Frce under Air Frce Cntract #FA87-05-C-000. Opinins, interpretatins,

More information

A solution of certain Diophantine problems

A solution of certain Diophantine problems A slutin f certain Diphantine prblems Authr L. Euler* E7 Nvi Cmmentarii academiae scientiarum Petrplitanae 0, 1776, pp. 8-58 Opera Omnia: Series 1, Vlume 3, pp. 05-17 Reprinted in Cmmentat. arithm. 1,

More information

Appendix I: Derivation of the Toy Model

Appendix I: Derivation of the Toy Model SPEA ET AL.: DYNAMICS AND THEMODYNAMICS OF MAGMA HYBIDIZATION Thermdynamic Parameters Appendix I: Derivatin f the Ty Mdel The ty mdel is based upn the thermdynamics f an isbaric twcmpnent (A and B) phase

More information

APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL

APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL JP2.11 APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL Xingang Fan * and Jeffrey S. Tilley University f Alaska Fairbanks, Fairbanks,

More information

Emphases in Common Core Standards for Mathematical Content Kindergarten High School

Emphases in Common Core Standards for Mathematical Content Kindergarten High School Emphases in Cmmn Cre Standards fr Mathematical Cntent Kindergarten High Schl Cntent Emphases by Cluster March 12, 2012 Describes cntent emphases in the standards at the cluster level fr each grade. These

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

^YawataR&D Laboratory, Nippon Steel Corporation, Tobata, Kitakyushu, Japan

^YawataR&D Laboratory, Nippon Steel Corporation, Tobata, Kitakyushu, Japan Detectin f fatigue crack initiatin frm a ntch under a randm lad C. Makabe," S. Nishida^C. Urashima,' H. Kaneshir* "Department f Mechanical Systems Engineering, University f the Ryukyus, Nishihara, kinawa,

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

More information