State-space feedback 4 Ackermann s approach
|
|
- Lesley Fox
- 6 years ago
- Views:
Transcription
1 Stte-e feedbk 4 kerm roh J Roiter Slide by thoy Roiter
2 Itrodutio The reiou ideo howed how tte feedbk le ole reiely log the ytem u fully otrollble. x x Bu x x u Kx Both relied o otrol oil form. Thi ideo how how oe fid uitble tte feedbk without reortig to oil form withi the deig roedure. Slide by thoy Roiter
3 Remrk uh of thi reoure derie d exli the reult. If you oly wt to kow the reult go diretly towrd the ed. Slide by thoy Roiter
4 Pole olyomil The roh gie here relie o ler defiitio of two olyomil: the oe-loo ole olyomil. 4 o o the deired loed-loo ole olyomil. o Slide by thoy Roiter
5 Cyley-Hmilto Theorem mtrix tifie it ow hrteriti equtio. Thi imlie tht. Slide by thoy Roiter 5 I The roof i omitted but reltiely trightforwrd d ilble i mot text book.
6 Corollry The followig idetitie re kow to be true. Slide by thoy Roiter 6 I o o o I Fidig K uh tht thi lt idetify i tified imlie hieig trget ole.
7 kerm roh The itetio i to exloit the ltter of thee idetitie d full rk ture of the otrollbility mtrix. Firt defie: I The firt oet i to how tht i omoet of - d exloit thi i the lgebr. NOTE by defiitio: Slide by thoy Roiter I 7
8 kerm roh The firt oet i to exd - d uk the uderlyig truture. Firt oider eh term. Slide by thoy Roiter 8 Bf Bf Bf Deliberte ertio of term with ledig d ledig B.
9 kerm roh The ext te i to how tht oe exre eh term uig the otrollbility mtrix. Slide by thoy Roiter 9 K K f B B B B Bf ] [ ] [ K K f B B B B Bf The ZERO i key
10 kerm roh Next exd - d uk the uderlyig truture. Firt oider eh term. Slide by thoy Roiter Oly i o-zero i the bottom row! I ] [ I
11 kerm roh Show tht i omoet of - d exloit thi i the lgebr. Slide by thoy Roiter ] [ I ] [ ] [
12 kerm roh Exloit the truture of by extrtig oly the lt row of eh ide of the equtio d thu extrtig the feedbk gi K. Slide by thoy Roiter [ ] f K K K i by defiitio oe fid the required tte feedbk uig thi formule.
13 Summry of kerm roh Defie the deired loed-loo ole olyomil. o The required feedbk i gie from the formul where i the otrollbility mtrix. K Slide by thoy Roiter
14 4 EXPLES Slide by thoy Roiter
15 Exmle : Chooe K to et the loed-loo ole t - d -. Slide by thoy Roiter 5 Firt fid the required ole olyomil 4 ; ;.4 C B Fid
16 Exmle : Chooe K to et the loed-loo ole t - d -.. ; ;.4 B Defie the otrollbility mtrix [ B B].8 Ue kerm formule K..95 Slide by thoy Roiter
17 Slide by thoy Roiter 7
18 Exmle : Chooe K to et the loed-loo ole t d ;.4 B ; Firt fid the required ole olyomil C Fid [Ue TLB tediou] Slide by thoy Roiter.75.75I
19 Exmle : Chooe K to et the loed-loo ole t - d ; B..4. ;.46.4 Defie the otrollbility mtrix [ B.5 B B].6... Ue kerm formule K Slide by thoy Roiter
20 Summry Itrodued oet of ole lemet tte feedbk without otrol oil form.. Show tht umig full otrollbility oe ue kerm formule to defie the required feedbk to hiee y deired ole olyomil.. Not er/e exerie i geerl iole ubttil mtrix multilitio d ierio.. Numerilly oorly oditioed for wekly otrollble d lrge dimeio ytem. Slide by thoy Roiter u Kx K
21 thoy Roiter Dertmet of utomti Cotrol d Sytem Egieerig Uierity of Sheffield 6 Uierity of Sheffield Thi work i lieed uder the Cretie Commo ttributio. UK: Egld & Wle Liee. To iew oy of thi liee iit htt://retieommo.org/liee/by/./uk/ or ed letter to: Cretie Commo 7 Seod Street Suite S Frio Clifori 945 US. It hould be oted tht ome of the mteril otied withi thi reoure re ubjet to third rty right d y oyright otie mut remi with thee mteril i the eet of reue or reuroig. If there re third rty imge withi the reoure lee do ot remoe or lter y of the oyright otie or webite detil how below the imge. Plee lit detil of the third rty right otied withi thi work. If you ilude your ititutio logo o the oer lee ilude referee to the ft tht it i trde mrk d ll oyright i tht imge i reered.
Newcastle University School of Electrical, Electronic & Computer Engineering. Contents
Newtle Uiverit hool of Eletril Eletroi & omuter Egieerig otet etio 3 Kiemti... 3. Itrodutio... 3. Devit d Hrteberg method...4 3.. Emle... 3.. Emle... 3..3 Emle 3...4 3..4 Emle 4...6 3.3 Arm Oriettio...9
More informationChapter 18 - Inference about Means
Chapter 18 - Iferece about Mea December 1, 2014 I Chapter 16-17, we leared how to do cofidece iterval ad tet hypothei for proportio. I thi chapter we will do the ame for mea. 18.1 The Cetral Limit Theorem
More informationIntro to Scientific Analysis (BIO 100) THE t-test. Plant Height (m)
THE t-test Let Start With a Example Whe coductig experimet, we would like to kow whether a experimetal treatmet had a effect o ome variable. A a imple but itructive example, uppoe we wat to kow whether
More informationEstimating Means with Confidence
Today: Chapter, cofidece iterval for mea Aoucemet Ueful ummary table: Samplig ditributio: p. 353 Cofidece iterval: p. 439 Hypothei tet: p. 534 Homework aiged today ad Wed, due Friday. Fial exam eat aigmet
More informationChapter 23 Summary Inferences about Means
U i t 6 E x t e d i g I f e r e c e Chapter 23 Summary Iferece about Mea What have we leared? Statitical iferece for mea relie o the ame cocept a for proportio oly the mechaic ad the model have chaged.
More informationMeasures of Spread: Standard Deviation
Measures of Spread: Stadard Deviatio So far i our study of umerical measures used to describe data sets, we have focused o the mea ad the media. These measures of ceter tell us the most typical value of
More informationANALYZING ECOLOGICAL DATA
Geeral Ecology (BIO 60) Aalyzig Ecological Data Sacrameto State ANALYZING ECOLOGICAL DATA Let Start With a Eample Whe coductig ecological eperimet, we would like to kow whether a eperimetal treatmet had
More informationA Generalized Difference-cum-Ratio Type Estimator for the Population Variance in Double Sampling
IANG Iteratioal Joural of Applied Mathematic : IJAM A Geeralized Differece-cum-Ratio Tpe timator for the Populatio Variace i Double amplig H.. Jhajj ad G.. Walia Abtract: For etimatig the populatio ariace
More informationLecture 18b: Practice problems for Two-Sample Hypothesis Test of Means
Statitic 8b_practice.pdf Michael Halltoe, Ph.D. hallto@hawaii.edu Lecture 8b: Practice problem for Two-Sample Hypothei Tet of Mea Practice Everythig that appear i thee lecture ote i fair game for the tet.
More informationORTHOGONAL ARRAYS. PRIYA KOHLI M.Sc. (Agricultural Statistics), Roll No I.A.S.R.I, Library Avenue, New Delhi
ORTHOGOAL ARRAYS PRIYA KOHLI MSc (Agriculturl Sttistics), Roll o IASRI, Librry Aeue, ew Delhi- Chirperso: Dr R Srist Abstrct: A orthogol rry (OA) of stregth t is rry, where d deote the umber of rus d fctors
More informationDistribution of sample means. Estimation
1 2 1 1 2 1 2 1 1 2 y y 1 2 1 1 2 y Chater 9 - Iterval Etimatio Sectio 9.4: Iterval Etimatio: Cofidece Iterval for the Poulatio Mea Ditributio of amle mea. Chater 9 - Iterval Etimatio Sectio 9.4: Iterval
More informationThe Design of Low Pass Filter with Active Filter based on Complex Surroundings Changhai Li 1, a Su Ye 2 Zhihui Sun 1 Yuantao Yu 1
International onerence on Automation, Mechanical ontrol and omutational Engineering AME 5 The Deign o Low Pa Filter with Active Filter baed on omlex Surrounding hanghai Li, a Su Ye Zhihui Sun Yuantao Yu
More informationProvider How To. Software Process Service Results
Softwre Proess Servie Results Provier How To Copyright Glenwoo Systems LLC 2010. The informtion herein remins the property of Glenwoo Systems LLC. This informtion my not e reprinte or uplite, n is governe
More informationEvent detection. Biosignal processing, S Autumn 2017
Evet detectio Biosigal processig, 573S Autum 07 ECG evet detectio P wave: depolarizatio of the atrium QRS-complex: depolarizatio of vetricle T wave: repolarizatio of vetricle Each evet represets oe phase
More informationSMV Outpatient Zero Suicide Initiative Oct 14 to Dec 16
SV Outpatiet Zero Suicide itiative Oct 14 to ec 16 Lea Problem: Betwee 2011 ad 2014, of patiets attedig the SV Outpatiet programs, there were recorded suicide attempts or deaths by suicide. Goal Statemet
More informationConfidence Intervals and Point Estimation
Cofidece Iterval ad Poit Etimatio x ε < µ < x + ε ε = z σ x ε < µ < x + ε ε = t ν,, ν = 1 = z σ ε ˆp ε < p < ˆp + ε ε = z ˆp ˆq = z ε pq ( 1) < σ < ( 1), ν = 1 χ ν, χ ν, 1 ( x 1 x ) ε < µ 1 µ < ( x 1 x
More informationrequesting information regarding atrial fibrillation in NHS West Kent Clinical Commissioning Group
NHS Wet Kent Clinical Commiioning Group October 2015 Our Ref: FOI.15.WK0138 requeting information regarding atrial fibrillation in NHS Wet Kent Clinical Commiioning Group Pleae find attached a Freedom
More informationSec 7.6 Inferences & Conclusions From Data Central Limit Theorem
Sec 7. Ifereces & Coclusios From Data Cetral Limit Theorem Name: The Cetral Limit Theorem offers us the opportuity to make substatial statistical predictios about the populatio based o the sample. To better
More informationProtein Structure Prediction using 2D HP Lattice Model Based on Integer Programming Approach
212 International Congre on Informatic, Environment, Energy and Application-IEEA 212 IPCSIT vol.38 (212) (212) IACSIT Pre, Singapore Protein Structure Prediction uing 2D HP Lattice Model Baed on Integer
More informationFinite-Dimensional Linear Algebra Errata for the first printing
Finite-Dimensionl Liner Algebr Errt for the first printing Mrk S. Gockenbch Jnury 6, 011 The following corrections will be mde in the second printing of the text, expected in 011. Pge 41: Exercise 5: S
More informationChapter 10: Design of Digital Filters - IIR
Pge of 5 Chte : Deig of Digitl Filte - IIR With etig of mlig, imet filte oetio i the omi, the Foie eie tfom the toic of filte eig c e ee. Filte to ic fiite imle eoe ifiite imle eoe Imott chcteitic: oe/legth/comlexit,
More informationRADIESSE Dermal Filler for the Correction of Moderate to Severe Facial Wrinkles and Folds, Such As Nasolabial Folds
A PATIENT S GUIDE RADIESSE Dermal Filler for the Correctio of Moderate to Severe Facial Wrikles ad Folds, Such As Nasolabial Folds Read all the iformatio before you are treated with Radiesse dermal filler.
More informationAnnouncements. Problem Definition. Strategy. Recognizing Objects: Feature Matching. Lighting affects appearance
Aoceme Fil Em M 6 h, 8 m (o m ide) Prcice qi hdo 5/8 Reiew eio: hik bo good ime PS5: For chllege problem, e bil i fcio o like Be crefl h o e hem properl Uefl oe: co, fpecil, imreie Qeio o problem e Redig
More informationCCXCIII. VITAMIN A DETERMINATION: RELA- AND PHYSICAL METHODS OF TEST. TION BETWEEN THE BIOLOGICAL, CHEMICAL
CCXCIII. VITAMIN A DETERMINATION: RELA- TION BETWEEN THE BIOLOGICAL, CHEMICAL AND PHYSICAL METHODS OF TEST. BY KATHLEEN CULHANE LATHBURY. From the Phyiological Laboratorie, The Britih Drug Houe, Ltd. (Received
More informationStatistics Lecture 13 Sampling Distributions (Chapter 18) fe1. Definitions again
fe1. Defiitios agai Review the defiitios of POPULATIO, SAMPLE, PARAMETER ad STATISTIC. STATISTICAL IFERECE: a situatio where the populatio parameters are ukow, ad we draw coclusios from sample outcomes
More informationChapter 7 - Hypothesis Tests Applied to Means
Chapter 7 - Hypothei Tet Applied to Mea 7.1 Ditributio of 100 radom umber: mea(dv) = 4.46 t. dev(dv) =.687 var(dv) = 7. 7.3 Doe the Cetral Limit Theorem work? The mea ad tadard deviatio of the ample are
More informationStatistics 11 Lecture 18 Sampling Distributions (Chapter 6-2, 6-3) 1. Definitions again
Statistics Lecture 8 Samplig Distributios (Chapter 6-, 6-3). Defiitios agai Review the defiitios of POPULATION, SAMPLE, PARAMETER ad STATISTIC. STATISTICAL INFERENCE: a situatio where the populatio parameters
More informationAppendix C: Concepts in Statistics
Appedi C. Measures of Cetral Tedecy ad Dispersio A8 Appedi C: Cocepts i Statistics C. Measures of Cetral Tedecy ad Dispersio Mea, Media, ad Mode I may real-life situatios, it is helpful to describe data
More informationPractical Basics of Statistical Analysis
Practical Basics of Statistical Aalysis David Keffer Dept. of Materials Sciece & Egieerig The Uiversity of Teessee Koxville, TN 37996-2100 dkeffer@utk.edu http://clausius.egr.utk.edu/ Goveror s School
More informationCH: Fitness. Physical Fitness- the ability to carry out daily tasks easily and have energy to respond to unexpected demands. Benefits of Exercise..
Benefit of Exercie.. CH: Fitne Health ED Phyical Health Nervou Sytem Repiratory Sytem Cardiovacular Sytem Weight control Mental benefit Social benefit Phyical Benefit Emotional Benefit. Lower blood preure
More information1 of E 00 PARAPET GUARDRAIL ATTACHMENT STANDARD PLAN NO (MGS SHOWN) 6" ` 12" ` 14 " + " S3 ` 5.7 POST WING PARAPET PLAN VIEW DELINEATOR
pproved Date MMM YYYY RODWY DEIGN DIVIION WING PRPET PLN VIEW DELINETOR '-1 " '-1 " '-1 " '-" () PRPET PRPET TNDRD LINE POT MOUNTED POT NOTE: Com puter: DRDEIGN147 CULVERT WLL CULVERT LB ELEVTION (MG HOWN)
More informationChapter 8 Descriptive Statistics
8.1 Uivariate aalysis ivolves a sigle variable, for examples, the weight of all the studets i your class. Comparig two thigs, like height ad weight, is bivariate aalysis. (Which we will look at later)
More informationChapter 7 - Hypothesis Tests Applied to Means
Chapter 7 - Hypothei Tet Applied to Mea 7.1 Ditributio of 100 radom umber: mea(dv) = 4.46 t. dev(dv) =.687 var(dv) = 7. 7.3 Doe the Cetral Limit Theorem work? The mea ad tadard deviatio of the ample are
More informationSupporting Information. Hexamethyldisilazane-Mediated Controlled Polymerization of α-amino Acid-N-Carboxyanhydrides
Supportig Iformtio exmethyldisilze-medited Cotrolled Polymeriztio of α-mio id--croxyhydrides u Lu d Jiju Cheg* Deprtmet of Mterils Siee d Egieerig, Uiversity of Illiois t Ur-Chmpig, Ur, IL 61801 Geerl.
More information23.3 Sampling Distributions
COMMON CORE Locker LESSON Commo Core Math Stadards The studet is expected to: COMMON CORE S-IC.B.4 Use data from a sample survey to estimate a populatio mea or proportio; develop a margi of error through
More informationI.G.C.S.E. Sine and Cosine Rules. You can access the solutions from the end of each question
I.G..S.E. Sine nd osine Rules Index: Plese lik on the question numer you wnt Question 1 Question 2 Question 3 Question 4 Question 5 Question 6 You n ess the solutions from the end of eh question Question
More informationObjectives. Sampling Distributions. Overview. Learning Objectives. Statistical Inference. Distribution of Sample Mean. Central Limit Theorem
Objectives Samplig Distributios Cetral Limit Theorem Ivestigate the variability i sample statistics from sample to sample Fid measures of cetral tedecy for distributio of sample statistics Fid measures
More informationConcepts Module 7: Comparing Datasets and Comparing a Dataset with a Standard
Cocepts Module 7: Comparig Datasets ad Comparig a Dataset with a Stadard Idepedece of each data poit Test statistics Cetral Limit Theorem Stadard error of the mea Cofidece iterval for a mea Sigificace
More informationOn The Use of Coefficient of Variation and 1, 2
Samlg Stratege for Fte Poulato Ug Auxlary Iformato O e Ue of oeffet of arato ad, Etmatg Mea of a Fte Poulato B. B. Kare, P. S. Ja ad U. Srvatava Deartmet of Statt, B.H.U, araa-005 Statt Seto, MM, B.H.U,
More informationTandem acoustic modeling: Neural nets for mainstream ASR?
Tandem acoutic modeling: for maintream ASR? Dan Elli International Computer Science Intitute Berkeley CA dpwe@ici.berkeley.edu Outline 2 3 Tandem acoutic modeling Inide Tandem ytem: What going on? Future
More informationInternational Journal of Mathematical Archive-4(3), 2013, Available online through ISSN
Iteratioal Joural of Mathematical Archive-4(), 201, 72-76 Available olie through www.ijma.ifo ISSN 2229 5046 QUALITY CONTOL OF SEA, BY USING DIFFEENT CHTS V. Vasu 1*, B. Kumara Swamy Achari 2 ad L. Sriivasulu
More informationECE 608: Computational Models and Methods, Fall 2005 Test #1 Monday, October 3, Prob. Max. Score I 15 II 10 III 10 IV 15 V 30 VI 20 Total 100
Nme: ECE 608: Computtiol Models d Methods, Fll 005 Test # Mody, Octoer 3, 005! Your em should hve 0 (te pges.! Pge 9 is itetiolly left l.! Pge 0 cotis list of potetilly useful idetities tht you my use.!
More informationPREVIOUS EIGHT-INCISION RADIAL KERATOTOMY
PREVIOUS EIGHT-INCISION RADIAL KERATOTOMY Trying to fix a refractive urprie after cataract urgery. BY KARL G. STONECIPHER, MD; JACK T. HOLLADAY, MD, MSEE, FACS; DAVID COOKE, MD; BRET L. FISHER, MD; AND
More informationHow is the President Doing? Sampling Distribution for the Mean. Now we move toward inference. Bush Approval Ratings, Week of July 7, 2003
Samplig Distributio for the Mea Dr Tom Ilveto FREC 408 90 80 70 60 50 How is the Presidet Doig? 2/1/2001 4/1/2001 Presidet Bush Approval Ratigs February 1, 2001 through October 6, 2003 6/1/2001 8/1/2001
More informationIntroductions to ExtendedGCD
Itroductios to ExtededGCD Itroductio to the GCD ad LCM (greatest coo divisor ad least coo ultiple) Geeral The legedary Greek atheaticia Euclid (ca. 325 270 BC) suggested a algorith for fidig the greatest
More informationEstimation and Confidence Intervals
Estimatio ad Cofidece Itervals Chapter 9 McGraw-Hill/Irwi Copyright 2010 by The McGraw-Hill Compaies, Ic. All rights reserved. GOALS 1. Defie a poit estimate. 2. Defie level of cofidece. 3. Costruct a
More informationLecture 19: Analyzing transcriptome datasets. Spring 2018 May 3, 2018
Lecture 19: Aalyzig trascriptome datasets Sprig 2018 May 3, 2018 Measurig the Trascriptome trascriptome: the mrnas expressed by a geome at ay give time (Abbott, 1999) Icludes protei codig trascripts ad
More informationREPORT TO PLANNING AND DESIGN COMMISSION City of Sacramento
REPORT TO PLANNING AND DESIGN COMMISSION City of Sacrameto 4 PUBLIC HEARING March 9, 2017 To: Members of the Plaig ad Desig Commissio: Subject: Ordiace Amedig the Plaig ad Developmet Code related to Marijuaa
More informationReview for Chapter 9
Review for Chapter 9 1. For which of the followig ca you use a ormal approximatio? a) = 100, p =.02 b) = 60, p =.4 c) = 20, p =.6 d) = 15, p = 2/3 e) = 10, p =.7 2. What is the probability of a sample
More informationWhat is a file system Link? Hard & Symbolic Links. What is a file system Link? What is a file system Link? Murray Saul Seneca College
What is a file system Lik? Hard & Symbolic Liks Murray Saul Seeca College Adapted by Dr. Adrew Vardy Memorial Uiversity A lik is a poiter to a file. This poiter associates a file ame with a umber called
More informationAbortion frequency (%) Ovary position on ear Ovary volume (mm 3 )
ortion frequeny (%) 5 1 Ovry position on er 3 1 WW WD pex Bse Ovry volume (mm 3 ) Figure S1. Ovry volume (thik lines) n ortion frequeny (thin lines) s funtion of position long the er, 15 ys fter silk emergene
More informationChapter 21. Recall from previous chapters: Statistical Thinking. Chapter What Is a Confidence Interval? Review: empirical rule
Chapter 21 What Is a Cofidece Iterval? Chapter 21 1 Review: empirical rule Chapter 21 5 Recall from previous chapters: Parameter fixed, ukow umber that describes the populatio Statistic kow value calculated
More informationThe Leeds Teaching Hospitals NHS Trust Bed sores, pressure sores and pressure ulcers
n The Leed Teaching Hopital NHS Trut Bed ore, preure ore and preure ulcer Information for patient Surface Skin Inpection Keep Moving Incontinence Nutrition & Hydration What i a preure ulcer? Preure ulcer,
More informationTechnical Assistance Document Algebra I Standard of Learning A.9
Techical Assistace Documet 2009 Algebra I Stadard of Learig A.9 Ackowledgemets The Virgiia Departmet of Educatio wishes to express sicere thaks to J. Patrick Liter, Doa Meeks, Dr. Marcia Perry, Amy Siepka,
More informationPATIENT INFORMATION LEAFLET PEPLOC OTC
SCHEDULING STATUS: S2 PROPRIETARY NAME, STRENGTH AND PHARMACEUTICAL FORM: tablet Read all of thi leaflet carefully becaue it contain important information for you. i available without a doctor precription,
More informationProvide Pain Management theory answer paper Multiple choice
Provide Pain Management theory anwer paper Multiple choice You will need to complete a theory paper coniting of four (4) ection with both multiple choice and hort anwer quetion. Section 1 and 2 are compulory.
More informationShould We Care How Long to Publish? Investigating the Correlation between Publishing Delay and Journal Impact Factor 1
Should We Care How Log to Publish? Ivestigatig the Correlatio betwee Publishig Delay ad Joural Impact Factor 1 Jie Xu 1, Jiayu Wag 1, Yuaxiag Zeg 2 1 School of Iformatio Maagemet, Wuha Uiversity, Hubei,
More information5/7/2014. Standard Error. The Sampling Distribution of the Sample Mean. Example: How Much Do Mean Sales Vary From Week to Week?
Samplig Distributio Meas Lear. To aalyze how likely it is that sample results will be close to populatio values How probability provides the basis for makig statistical ifereces The Samplig Distributio
More informationLecture Outline. BIOST 514/517 Biostatistics I / Applied Biostatistics I. Paradigm of Statistics. Inferential Statistic.
BIOST 514/517 Biostatistics I / Applied Biostatistics I Kathlee Kerr, Ph.D. Associate Professor of Biostatistics iversity of Washigto Lecture 11: Properties of Estimates; Cofidece Itervals; Stadard Errors;
More informationCalibration Approach based Estimation of Finite Population Total under Two Stage Sampling
Available olie at www.ia.org.i/jia Joural of the dia Society of Agricultural Statitic 70(3) 06 9 6 Calibratio Approach baed Etimatio of Fiite Populatio Total uder Two Stage Samplig SUMMARY Kautav Aditya,
More informationEXPLORING COGNITIVE STRATEGIES FOR INTEGRATING MULTIPLE-VIEW VISUALIZATIONS
EXPLORING COGNITIVE STRATEGIES FOR INTEGRATING MULTIPLE-VIEW VISUALIZATIONS Young Sam Ryu 1, Beth Yot 2, Gregorio Convertino 2, Jian Chen 2, and Chri North 2 Grado Department of Indutrial and Sytem Engineering
More informationStatistical Analysis and Graphing
BIOL 202 LAB 4 Statistical Aalysis ad Graphig Aalyzig data objectively to determie if sets of data differ ad the to preset data to a audiece succictly ad clearly is a major focus of sciece. We eed a way
More informationPredicting Peptides That Bind to MHC Molecules Using Supervised Learning of Hidden Markov Models
PROTEINS: Structure, Function, and Genetic 33:460 474 (1998) RESEARCH ARTICLES Predicting Peptide That Bind to MHC Molecule Uing Supervied Learning of Hidden Markov Model Hirohi Mamituka* C&C Media Reearch
More informationSURVEILLANCE REPORT. Legionnaires disease in Europe.
SURVEILLANCE REPORT Legioaires disease i Europe 2009 www.ecdc.europa.eu ECDC SURVEILLANCE REPORT Legioaires disease i Europe 2009 This report of the Europea Cetre for Disease Prevetio ad Cotrol (ECDC)
More informationEDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 1- ALGEBRAIC TECHNIQUES TUTORIAL 3 - STATISTICAL TECHNIQUES
EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 1- ALGEBRAIC TECHNIQUES TUTORIAL 3 - STATISTICAL TECHNIQUES CONTENTS Be able to apply algebraic techiques Arithmetic progressio
More informationCommissioning for Value Where to Look pack
Commiioning for Value Where to Look pack Surrey Heartland - STP area December 2016 Neurological April 2016 Content Introduction to your Where to Look pack Supporting the STP proce NHS RightCare and Getting
More informationSimple intervention to improve detection of hepatitis B and hepatitis C in general practice
Simple itervetio to improve detectio of hepatitis B ad hepatitis C i geeral practice Zayab al-lami (GP-Birmigham) Co-authors:-Sarah Powell, Sally Bradshaw, Amada Lambert, David Mutimer ad Adrew Rouse Presetatio
More informationInfrared Image Edge Detection based on Morphology- Canny Fusion Algorithm
, pp.42-46 http://dx.doi.org/10.14257/stl.2016.137.08 Infrred Imge Edge Detection bsed on Morphology- Cnny Fusion Algorithm Tng Qingju 1, Bu Chiwu 2, Liu Yunlin 1, Zng Jinsuo 1, Li Dyong 1 1 School of
More informationCommissioning for Value Where to Look pack
Commiioning for Value Where to Look pack South Eat London - STP area December 2016 Neurological April 2016 Content Introduction to your Where to Look pack Supporting the STP proce NHS RightCare and Getting
More informationSupplementary Figure 1. Scheme of unilateral pyramidotomy used for detecting compensatory sprouting of intact CST axons.
() BDA 2 weeks fter Py () AAVs Cre or GFP t P1 BDA 2 weeks fter Py CSMN CST () Py t P7 or 2 months () Py t 2 months Supplementry Figure 1. Sheme of unilterl pyrmidotomy used for deteting ompenstory sprouting
More informationCommissioning for Value Where to Look pack
Commiioning for Value Where to Look pack North Eat London - STP area December 2016 Neurological April 2016 Content Introduction to your Where to Look pack Supporting the STP proce NHS RightCare and Getting
More informationSeismic Response Control of Structures using Liquid Column Vibration Absorber Considering Real Earthquake Ground Motions
Seimic Repone Control of Structure uing iquid Column Vibration Aborber Conidering Real Ground Motion Debai Panda M. Tech Scholar National Intitute of Technology Agartala Agartala, India Dr. Rama Debbarma
More informationCommissioning for Value Where to Look pack
Commiioning for Value Where to Look pack Frimley Health - STP area December 2016 Neurological April 2016 Content Introduction to your Where to Look pack Supporting the STP proce NHS RightCare and Getting
More informationCALENDARS. Wall Calendars
CALENDARS Wll Clenr 13-month clenr. Pper Stock: 60 lb. glo text n glo cote cover Prouct Size: 10-1/2" W x 18-1/4" H open; 10-1/2" W x 10" H cloe 300 Spirl 1.48 1.28 1.23 1.17 Spirl 1.75 1.54 1.51 1.46
More informationAppendix III Individual-level analysis
Appendix III Individual-level analysis Our user-friendly experimental interface makes it possible to present each subject with many choices in the course of a single experiment, yielding a rich individual-level
More informationHomework #1, EE 553, Fall, 2012, Dr. McCalley SOLUTIONS
Homewor # EE 55 Fall 0 Dr. McCalle SOUTOS. roblem 4.a.. Beore worin hi problem ou ma review pae 0 o our W&W e noe ha in cla we ue o denoe volae wherea our W&W e ue E o denoe volae. Oberve ha acobian derivaive
More information2. Hubs and authorities, a more detailed evaluation of the importance of Web pages using a variant of
5 Web Serch Outline: 1. Pge rnk, for discovering the most ëimportnt" pges on the Web, s used in Google. 2. Hubs nd uthorities, more detiled evlution of the importnce of Web pges using vrint of the eigenvector
More information1 Barnes D and Lombardo C (2006) A Profile of Older People s Mental Health Services: Report of Service Mapping 2006, Durham University.
The Natioal Audit Office udertook a self-assessmet cesus of Commuity Metal Health Teams for Older People (CMHTs) betwee September ad December 2006. The overall fidigs are preseted i the Natioal Audit Office
More informationWarm-Up ( 3) Current: Alg 13.0 Review: 7NS 1.1. Solve for y using two different methods. Replace with <, > or = to make the sentence true.
W-Up Cuet Alg. Revie NS. Solve fo y usig to iffeet etos. y y Replce it o to e te setece tue. Selecte Respose CCSS.NF. Wic of tese etos oul be ppopite fo fiig? C A B ( ) D E *Wy oul stuet coose icoect
More informationTHE UNINTENDED CONSEQUENCES OF HAVING AN IMPACT
F E A T U R E SYSTEMS THINKER T H E B U I L D I N G S H A R E D U N D E R S T A N D I N G THE UNINTENDED CONSEQUENCES OF HAVING AN IMPACT B Y C A R O L Y N J. C. T H O M P S O N VOL. 14 NO. 4 MAY 2003
More informationST SIGN TYPES - CURBSIDE 3.0 SIGN TYPES - TERMINALS. Terminals Sign Types - Layout 3.5. Floor mount. Informational-Primary/Secondary 3.5.
Volume : Terminals Sign Types - Layout. - - irport Directory Floor mount ST - 8 DESRITION: Ground Transportation Directory - Exterior.. Header Text SIGN FE LYOUT - OTION LOTION: Used at urbside for pedestrian
More informationGSK Medicine Study Number: Title: Rationale: Study Period: Objectives: Primary Secondary Indication: Study Investigators/Centers: Research Methods
The study listed may iclude approved ad o-approved uses, formulatios or treatmet regimes. The results reported i ay sigle study may ot reflect the overall results obtaied o studies of a product. Before
More informationProject Title: A1C and Diabetic Control
Name: Material Needed: Graph Paper or Electronic Application Project Title: Introduction Background Information Hemoglobin i a molecule within the red blood cell that tranport oxygen. In a normal human,
More informationEvaluation of a Program to Enhance Young Drivers Safety in Israel
Evaluation of a Program to Enhance Young Driver Safety in Irael Tomer Toledo* Technion Irael Intitute of Technology, Haifa, Irael Tippy Lotan Or Yarok, Hod Haharon, Irael Orit Taubman - Ben-Ari Bar-Ilan
More informationWhether you have a bacterial infection or a viral infection, there are things you can do to help yourself feel better:
HEALTHPLUS, AN AMERIGROUP COMPANY MakeHealth Happe Vol. 2, 2013 Do I Need Atibiotics? Atibiotics are medicies used to treat bacterial ifectios ad keep them from spreadig. But if a virus makes you sick,
More informationGuidance on the use of the Title Consultant Psychologist
Guidace o the use of the Title Cosultat Psychologist If you have problems readig this documet ad would like it i a differet format, please cotact us with your specific requiremets. Tel: 0116 2254 9568;
More informationSAMPLE. Relative Values for Physicians. Relative values based on physician survey data from Relative Value Studies, Inc. ICD-10.
www.optumcoding.com Relative Value for Phyician Relative value baed on phyician urvey data from Relative Value tudie, Inc. AMPLE 2017 a ICD-10 A full uite of reource including the latet code et, mapping
More informationComputerized testing of cognitive functions
Computerized teting of cognitive function PhDr. Jiri Kloe Head of the Central edical Pychology Department Central ilitary Hopital Prague Prague, Czech Republic Doc. PhDr. ilan Brichcin, CSc. Senior Reearch
More informationAppendix Am A Comparison of the National Cancer Institute s and the International Agency for Research on Cancer s Evaluation of Bioassay Results
Appendixe.. Content Page Appendix A: A Comparion of the National Cancer ntitute and the nternational Agency for Reearch on Cancer Evaluation of Bioaay Reult...........................................211
More informationImpression taking for fix appliences, sectional models
Impressio takig for fix applieces, sectioal models Dr. Judit Borbély 2018 2 2 Impressio soft, semifluid material placed i the mouth ad allowig that material to set 1. It should be a exact duplicatio
More informationId Vd Output Characteristics and Transit-Time Model For Short-Gate Length Ion-Implanted GaAs MESFET Using MATLAB
Iteratioal Joural of Egieerig eearh a eelomet e-iss: 78-67X, -ISS : 78-8X, www.ijer.om olume 5, Iue 3 (eember, PP. 6-67 I Outut Charateriti a Trait-Time Moel For Short-Gate egth Io-Imlate GaA MESFET Uig
More informationWhy recessive lethal alleles have not disappeared? Jorma Jormakka
Why receive lethal allele have ot diaeared? Jorma Jormakka ormaoormakka@gmailcom Lethal receive allele are gee allele, which either are lethal for a homozygote, or were o i at ceturie They caue rare eriou
More informationCHAPTER 8 ANSWERS. Copyright 2012 Pearson Education, Inc. Publishing as Addison-Wesley
CHAPTER 8 ANSWERS Sectio 8.1 Statistical Literacy ad Critical Thikig 1 The distributio of radomly selected digits from to 9 is uiform. The distributio of sample meas of 5 such digits is approximately ormal.
More informationAgilent G6825AA MassHunter Pathways to PCDL Software Quick Start Guide
Agilent G6825AA MssHunter Pthwys to PCDL Softwre Quick Strt Guide Wht is Agilent Pthwys to PCDL? Fetures of Pthwys to PCDL Agilent MssHunter Pthwys to PCDL converter is stnd-lone softwre designed to fcilitte
More information1-Methylcyclopropene Impurities. GC method. CIPAC Collaborative Trial according to CIPAC Information Sheet Number 282
1-Methylylopropene Impuritie GC method CIPAC Collaborative Trial aording to CIPAC Information Sheet Number 282 D. Verona AgroFreh, In. 727 Norritown Road Spring Houe, Pa. 19477 United State April 2009
More informationJUST THE MATHS UNIT NUMBER STATISTICS 3 (Measures of dispersion (or scatter)) A.J.Hobson
JUST THE MATHS UNIT NUMBER 8.3 STATISTICS 3 (Measures of dispersio (or scatter)) by A.J.Hobso 8.3. Itroductio 8.3.2 The mea deviatio 8.3.3 Practica cacuatio of the mea deviatio 8.3.4 The root mea square
More informationMeasuring Dispersion
05-Sirki-4731.qxd 6/9/005 6:40 PM Page 17 CHAPTER 5 Measurig Dispersio PROLOGUE Comparig two groups by a measure of cetral tedecy may ru the risk for each group of failig to reveal valuable iformatio.
More informationProvide a Buffet and Carvery Service
CU926 Provide Buffet nd Crvery Servie Unit summry This unit is out prepring the rvery or uffet disply y rrnging items suh s rokery, utlery nd npkins. It lso overs serving ustomers t the rvery or uffet
More informationDrug use in Ireland and Northern Ireland
Drug use i Irelad ad Norther Irelad Bulleti 7 Alcohol Cosumptio ad Alcohol-Related Harm i Irelad This bulleti presets the mai fidigs o alcohol cosumptio ad alcohol-related harm amog adults i Irelad from
More informationDural Repair DURAL REPAIR. Solutions
Durl Repir DURAL REPAIR Solutions Science Technology Innotion Proen Performnce Six Pltform Technologies At Collgen Mtrix we re pssionte bout dncing the science of tissue repir nd We he deeloped six proprietry
More information