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Course: CHIN 102, Spring 2012School: W. Kentucky
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FIT - ECE - 3551
Complex Algebra ReviewDr. V. KpuskaComplex Algebra Elements Definitions:j -1 R : Set of all Real Numbers : Set of all Imaginary Numbers C : Set of all Complex Numbers If x,y R then z = x + jy Cartezian form of a complex number Note: Real numbers can
FIT - ECE - 5525
SpeechProcessingADiscreteTimeSignalProcessingFrameworkIntroduction Reviewofthefoundationofdiscretetimesignalprocessing: Investigationofessentialdiscretetimemethods Brieflytouchuponthelimitationsofthesetechniquesinthecontextofspeechprocessing: T
FIT - ECE - 5535
Computer Networks 2The Application LayerFebruary 13, 2012Veton Kpuska1The Application LayerThe layers bellow application layer provide services to application layer. However, application layer needs support protocols to allow the applications to fun
FIT - CSE - 2400
<?xml version="1.0" encoding="UTF-8" standalone="no"?> <?validation-md5-digest f1162d8537faffb73185d817c950953e?> <worksheet version="3.0.3" xmlns="http:/schemas.mathsoft.com/worksheet30" xmlns:xsi="http:/www.w3.org/2001/XMLSchema-instance" xmlns:ws="http
York University - CSE - 1520
Chapter 11 File Systems and DirectoriesFile Systems File: A named collection of related data. File system: The logical view that an operating system provides so that users can manage information as a collection of files. Directory: A named group of fil
University of Florida - EML - 5595
VARIATION OF WHOLE-BODY ANGULAR AND LINEAR MOMENTUMDURING HUMAN LOCOMOTIONJennifer N. Jackson (1), Chris J. Hass (2), John K. De Witt (3),Jonathan P. Walter (4), and Benjamin J. Fregly(1,4)(1) Department of Biomedical Engineering,University of Florid
University of Florida - EML - 5595
Simulation Lab #1:Dynamic Simulation of JumpingProfessor B.J. FreglyMechanics of the Human Locomotor SystemEML 5595 - Fall 2010Lab and Jumping Software Developers: Jeff Reinbolt and B.J. FreglyComputational Biomechanics Lab, University of FloridaDe
University of Florida - COP - 3503
11 / 14COP 3503 Spring 2012Shayan JavedLecture 1Programming2 / 14Infohttp:/www.cise.ufl.edu/class/cop3503sp12/E-mail:sjaved@cise.ufl.eduOffice:CSE 3373 / 14IntroductionObject-Oriented ProgrammingUsing JavaBasic Algorithms/Problem Solving
University of Florida - COP - 3503
1 / 58COP 3503 SPRING 2012Shayan JavedLecture 2Programming2 / 58Introduction to JavaHigh-level language.Paradigm: Object-Oriented.WORA (write-once, run anywhere)3 / 58Introduction to JavaSome languages are compiled (C/C+)4 / 58Introduction t
University of Florida - COP - 3503
11 / 53COP 3503 SpRING 2012Shayan JavedLecture 3Programming2 / 53ArraysObjects in Java (but not in C/C+).An array is a container object that holds afixed number of values of a single type.Specify length when creating.3 / 53Arrays4 / 53Array
University of Florida - COP - 3503
11 / 71COP 3503 SPRING 2012Shayan JavedLecture 4Programming2 / 71InheritanceDerive new classes (subclass) from existingones (superclass).Only the Object class (java.lang) has nosuperclassEvery class = subclass of Object.3 / 71InheritanceCod
University of Florida - COP - 3503
11 / 41COP 3503 SPRING 2012Shayan JavedLecture 5Programming2 / 41Abstract Classes3 / 41Abstract classesFrom the previous lecture:public class GeometricObject cfw_protected String Color;protected String name;protected float area;/ Constructo
University of Florida - COP - 3503
11 / 45COP 3503 SPRING 2012Shayan JavedLecture 6Programming2 / 45Interfaces3 / 45Animalpicturefoodsleep()roam()makeNoise()eat()4 / 45Animalpicturefoodsleep()roam()makeNoise()eat()CanineFelineroam()roam()5 / 45Animalpicturefo
University of Florida - COP - 3503
11 / 162COP 3503 SPRING 2012Shayan JavedLecture 7Programming2 / 162More With Interfaces3 / 162InterfacesLanguage construct for specifying functionalitywithout implementationMethod specifications but no implementations.4 / 162Interfaces in So
University of Florida - COP - 3503
/ Driver for discussion 4/ COP 3503public class Driver cfw_public static void main(String[] args) cfw_/ create a bunch of Checking accountsCheckingAccount c1 = new CheckingAccount("Martin", 1, 500, 1);CheckingAccount c2 = new CheckingAccount("Julie"
University of Florida - GEO - 6938
Adjustment Factors for Sample Size CalculationsIf there is more than one primary outcome variable or more than one primarycomparison, then the significance level should be adjusted to account for themultiple comparisons in order not to inflate the over
University of Florida - GEO - 6938
GEO 6938 (Spring 2012)Advanced Quantitative Methods for Spatial AnalysisSection: # 5470 (VAR credit, 2 or 3 credit hours)Lectures: T (Tuesdays) periods 4-6 (10:40AM 1:40PM)Location: TUR 3012 (Turlington Hall)Instructor: Timothy J. Fik, Ph.D.OFFICE H
University of Florida - GEO - 6938
The Bonferroni correction is a multiple-comparison correctionused when several dependent or independent statistical testsare being performed simultaneously (since while a givenalpha value may be appropriate for each individual comparison,it is not for
University of Florida - GEO - 6938
Extreme Value DistributionsEasyFit: select the best fitting distribution and use it to make better decisions. learn moreThe problem of modeling extreme or rare events arises in many areas where such events can have verynegative consequences. Some examp
University of Florida - GEO - 6938
Extreme value distributionsDescription, Formulas and PlotsUses of the Extreme Value Distribution ModelDATAPLOT Functions for the Extreme Value DistributionDescription, Formulas and PlotsThe ExtremeValueDistributionusually refers tothe distributio
University of Florida - GEO - 6938
x = real number (.1 to 10)xg(x)xg(x)0Infinity320.19.51351 3.12.197620.24.59084 3.22.423970.32.99157 3.32.683440.42.21816 3.42.981210.51.77245 3.53.323350.61.48919 3.63.717020.71.29806 3.74.170650.81.16423 3.84.694170.91.0
University of Florida - GEO - 6938
geary.test cfw_spdepR DocumentationGeary's C test for spatial autocorrelationDescriptionGeary's test for spatial autocorrelation using a spatial weights matrix in weights list form. Theassumptions underlying the test are sensitive to the form of the
University of Florida - GEO - 6938
Global Morans I and Global Gearys cMorans I and Gearys c are well known tests for spatial autocorrelation. They representtwo special cases of the general cross-product statistic that measures spatialautocorrelation. Morans I is produced by standardizin
University of Florida - GEO - 6938
Global Spatial Autocorrelation Indices - Moran's I, Geary's C and the GeneralCross-Product StatisticBy M.SawadaDepartment of GeographyUniversity of OttawaOttawa ON K1N 6N5IntroductionThe analysis of spatially located data is one of the basic concer
University of Florida - GEO - 6938
Global Measures ofSpatial AutocorrelationChina1Briggs Henan University 2010Last Time The concept of spatial autocorrelation. Near things are more similar than distant things The use of the weights matrix Wij to measurenearness The difficulty of
University of Florida - GEO - 6938
Introduction to Point Pattern AnalysisErum Tariq (2004)School of Mines & Technology, South DakotaAbstractPoint Pattern Analysis is a class of techniques that endeavor to identify patterns in spatialdata. We utilize the Quadrant Count Method as an int
University of Florida - GEO - 6938
Multiple testing / Multiple comparison -OverviewFrom Glantz, Primer of Biostatistics, Chapter 4Suppose that we perform 5 t-tests, each with alpha = 0.05.What is the probability that we will get at least one false positive result?P(at least one false p
University of Florida - GEO - 6938
Geographic Information ScienceGeography 625IntermediateGeographic Information ScienceWeek4: Point Pattern AnalysisInstructor: Changshan WuDepartment of GeographyThe University of Wisconsin-MilwaukeeFall 2006University of Wisconsin-MilwaukeeGeogr
University of Florida - GEO - 6938
Point Pattern AnalysisusingSpatial Inferential Statistics1How Point Pattern Analysis (PPA)From Centrographic Statistics (previously):Centrographic Statistics calculates single,summary measuresPPA analyses the complete set of pointsFrom Spatial Au
University of Florida - GEO - 6938
Poisson RegressionPoisson Distribution A Poisson distribution is given by:Pr[Y = y ] =e yy!, y = 0,1,2.Where, is the average number of occurrences ina specified intervalAssumptions: Independence Prob. of occurrence In a short interval is propor
University of Florida - GEO - 6938
ProbabilityDistributionsProbabilitydistributionshaveasurprisingnumberinterconnections (mathematicallyspeaking).Adashedlineinthechartbelowindicatesan approximate(limit)relationshipbetweentwodistributionfamilies.Asolidlineindicatesanexactrelationship:sp
University of Florida - GEO - 6938
Radial Basis FunctionsRadial basis interpolation is the name given to a large family of exact interpolators. In many waysthe methods applied are similar to those used in geostatistical interpolation (see Section 6.7), butwithout the benefit of prior an
University of Florida - GEO - 6938
Spatial AutocorrelationAndrea ZuurIntroductionThe goal of this presentation is to provide ecology students with an understandableprimer on spatial autocorrelation within the context of ecology. The assumptions ofspatial and classical statistics are c
University of Florida - GEO - 6938
Spatial AutocorrelationNilupa Gunaratna, Yali Liu, Junyong Park1. DefinitionObservations made at different locations may not be independent. For example,measurements made at nearby locations may be closer in value than measurements madeat locations f
University of Florida - GEO - 6938
SPATIAL DIFFUSIONANALYSISExample Application Areas Diffusion of Information Diffusion of Toxic Wastes Spread of Infectious DiseasesProduct Adoption ExampleTony E. Smith and Sanyoung Songhttp:/www.seas.upenn.edu~tesmith Basic Model Steady State A
University of Florida - GEO - 6938
Spatial StatisticsConcepts (O&U Ch. 3)Centrographic Statistics (O&U Ch. 4 p. 77-81) single, summary measures of a spatial distributionPoint Pattern Analysis (O&U Ch 4 p. 81-114)- pattern analysis; points have no magnitude (no variable)Quadrat Analys
University of Florida - GEO - 6938
6. Knox Statistic for Space-Time ClusteringThe Knox approach is used to test whether there is a significant cluster during a defineddistance and time period. First it counts the number of point pairs as either close ordistant in space and /or time, the
University of Florida - GEO - 4167
Introduction to Spatial Modeling Statistical options tend to be limited in most GISapplications. This is likely to be redressed in the future. We will look at spatial statistics in general terms, andconclude with a review of the software available.B
University of Florida - GEO - 4167
COMPUTATIONALASPECTSOFCOMPUTATIONALASPECTSOFLOCALREGRESSIONMODELLING:takingspatialanalysistoanotherlevelStewartFotheringhamMartinCharltonChrisBrunsdonSpatialAnalysisResearchGroupDepartmentofGeography,UniversityofNewcastleuponTyne,Newcastleupon
University of Florida - GEO - 4167
Geographicallyweighted regressionDanlin YuYehua Dennis WeiDept. of Geog., UWMwith modifications by T. Fik (Univ. of FL)Outline of the presentation1.2.3.4.5.Spatial non-stationarity: an exampleGWR some definitions6 good reasons using GWRCali
University of Florida - GEO - 4167
Department of GeographyUNIVERSITY OF FLORIDA, SPRING 2012GEO 4167c section #6647 / GEO 6161 section # 8377Intermediate Quantitative MethodsInstructor: Timothy J. Fik, Associate ProfessorPrerequisite: GEO 3162 / GEO 6160 or equivalentTime/Location: T
University of Florida - GEO - 4167
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University of Florida - EEL - 4744
ex0.asm;*; file = ex0.asm; Quick examples of Assembler directives & 28F335 DSP code; Dr. Eric Schwartz, Jan 23, 2012; Dr. Eric Schwartz, Jan 24, 2011; Dr. Karl Gugel, May/2009;; To be assembled using Code Composer Studio which requires a linker co
University of Florida - EEL - 4744
ex1.asm;*; file = ex1.asm; Quick examples of adds, subtracts and compares for conditional branching.; Dr. Karl Gugel, Sept/2009;; To be assembled using Code Composer Studio which requires a linker command; file to tell CCR where to place code & dat
University of Florida - EEL - 4744
KG_RAM_Link1.cmd/ FILE:// TITLE://///////KG_RAM_Link1.cmdLinker Command File For 28335 examples that run out of RAMThis ONLY includes all SRAM blocks on the 28335 device.This does not include flash or OTP.Keep in mind that L0 and L1 are p
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 2 Wednesday January 11nReading assignment: class slides1.2.Man-made systems and the environmentComplex systems1. Facto
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COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 3 Wednesday January 18nnReading assignment: class slides of Lectures 2 and 3 and the classnotes distributed systems-basic
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COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 4 Monday January 23nnnReading assignment: the class notes Distributed systems-basicconcepts available online.Phase 0 pr
Emory - SPAN - 212
EntregarlasintroduccionesPORFAVOR,debajodelaintro,incluyeunalistadetustresargumentos(bulletpoint,olistanumerada,noimporta,peroNOnecesitanseroracionescompletas,sololalistadepersonajes,oescenas,oejemplosquevaisausarparaprobartutesis)Iniciar un tema nuev
Emory - SPAN - 212
, , , , , , , , Instructions for generating Spanish characters from within icrosoft WordM:Vowels with accents: CTRL + ' (APOSTROPHE), then the vowel you want an accented. Don'ttry to produce this way as CTRL + N creates a new document in Word.Or pro
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 5 Wednesday January 25nnReading assignment: the class notes Distributed systems-basicconcepts available online.Last time
Emory - SPAN - 212
Por culpa deEl acompaante-dateSer capaz de- to be capable ofEl resultado- resultBurlarse de- to make fun ofEl pecado-sinVolverse (plus adj) permanent changeEl conocimiento- knowledgeConfiar en- to trustCasarse con- to marry el estado civil- marit
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 6 - Monday January 30nnReading assignment: the class notes Distributed systems-basicconcepts and Petri Nets available onl
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 7 - Wednesday February 1nnReading assignment: the class notes Distributed systems-basicconcepts and Petri Nets available
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 8 - Monday February 6nnReading assignment: the class notes Distributed systems-basicconcepts and Petri Nets available onl
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 9 - Wednesday February 8nnReading assignment: Chapter 7 from the on-line textLast time:nn2/16/12Consensus protocolsM
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 10 - Monday February 13nnnnReading assignment: Chapter 8 from the on-line textLast time:Design principles for computer
UCF - COP - 5611
COT 5611 Operating SystemsDesign Principles Spring 2012Dan C. MarinescuOffice: HEC 304Office hours: M-Wd 5:00-6:00 PMLecture 11 - Wednesday February 15nnReading assignment: Chapter 7 from the on-line textLast time:Network architecture the Intern
UCF - COP - 4600
File SystemExtensibility and NonDisk File SystemsAndy WangCOP 5611Advanced Operating SystemsOutlineFile system extensibility Non-disk file systemsFile System ExtensibilityAny existing file system can beimproved No file system is perfect for all
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iPhoneJoseph Del RoccoCOP5611April 2009Outline1. HardwareCPU / GPU / CacheMemory / Storage / Extras1. Operating SystemOverview / OS X / DarwinXNU / MachIPC / Thread ManagementDifferences w/ iPhone1. Development02/16/12SDK / Tools / Objectiv
Emory - ECONOMICS - 102
Practice Multiple Choice Problems #1Basic Economic Concepts1. Trade between the United States and Indiaa. benefits both the United States and India.b. is a losing proposition for the United States because India has cheaper labor.c. is like a sports c