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Wisconsin - ECE - 353
ECE 353 Introduction to Microprocessor SystemsWeek 9 Michael J. SchulteAdministrative MattersQuiz #2 is Thursday, April 10th from 7:15 to 8:30 PMReadings for week 9 Covers modules 3 and 4 (weeks 58, hw 3, 4) Textbook 7.5, 9 ADUC 910
Wisconsin - ECE - 353
ECE 353 Introduction to Microprocessor SystemsQuiz 2 ReviewMichael J. Schulte Quiz 2 FormatQuiz #2 will be held Thursday 4/10/2008 at 7:158:30pmCovers educational objectives for modules 3 and 4 (weeks 5 through 8, homework #3, #4) Sam
Wisconsin - ECE - 353
ECE 353 Introduction to Microprocessor SystemsDiscussion 10TopicsSwitch Debounce Software Timers ConcepTest Q&ASwitch Debounce problemYour success at writing the hardware timing module for the new fish finder has landed you the task of des
Wisconsin - ECE - 353
ECE 353 Introduction to Microprocessor SystemsDiscussion 5 TopicsHardware Timers Q&A ProblemYou are part of a design team working on a new fish finder using the ADuC7026. You are given the task of designing the code module that wil
Wisconsin - ENGR - 565
Safety & Health - LegsIE 565 Lecture 5 February 16th, 2005Keyboards w/Negative Inclination Legs that extend at the front rather than the back Some research shows that keyboard with a positive tilt increase the compression of the median nerv
Wisconsin - ENGR - 565
Participatory Ergonomics & Participatory ManagementIE 565 Lecture 9 April 20th 2005What is participatory ergonomics? Method in which `end-users' of ergonomics take an active role in the identification and analysis of ergonomics risk factors, as
Wisconsin - ENGR - 565
Ergonomics of Workstation and WorkspaceIE565 Ergonomics in Service P. Carayon Spring 20031RULES FOR OFFICE CHAIRS Chairs must be conceived for a forward and reclined sitting posture. The chair height should be adjustable (38-54 cm). Th
Wisconsin - ENGR - 565
Ergonomics Standards & Ergonomics For Special PopulationsIE 565 Lecture 10 April 27th, 2005Guidelines and Standards What are they? Why do we need them?Standards - Organizations ISO International Organization for Standardization National o
Wisconsin - ENGR - 565
THE VISUAL SYSTEM The essential processes of vision are nervous functions of the brain. The eye is a receptor organ for light rays. The complete visual system controls about 90% of all our activities in everyday life.DIAGRAM OF THE VISUAL SYSTEM
Wisconsin - ENGR - 565
Back-Neck-ShouldersIE565 Ergonomics in Service P. Carayon Spring 20031MUSCULOSKELETAL TROUBLES OF COMPUTER USERS Comparison studies with control groups. Importance of the type of job. Laubli: A computer as such does not cause physical discom
Wisconsin - ENGR - 565
WORKING OF THE ARMS AND HANDS The motion of the upper arm is controlled by shoulder muscles. The muscles of the upper arm control the forearm. Simply holding the arms, without support, requires quite a bit of static effort that quickly gives way t
Wisconsin - ENGR - 565
MUSCULOSKELETAL STRAIN Disorders and discomfort associated with stress to one or more of the components of the musculoskeletal system (MS). MAIN COMPONENTS OF THE MS: bones muscles ligaments tendons nerves biological and mechanical system.M
Wisconsin - ENGR - 565
IE565 Ergonomics in Service Spring 2005Instructor: Farheen Khan 462 Mechanical Engr. Building 262-8451 fskhan@wisc.edu Wednesday 12-2pm or by appointment Office Phone Email Open door hoursClass time: Wednesdays 8:50 11:50am + fieldworkCourse o
Wisconsin - ENGR - 691
Design of an Experiment: Paper HelicopterProject Scope Apply techniques learned in lecture tomaximize response (flying time) Fractional factorial design Full factorial Steepest ascent Central composite Canonical analysisInitial Steps Co
Wisconsin - ENGR - 691
In this directory you will find four R-packages built for Windows, and that I use frequently in the preparation of the material for this course.1. BHH2 0.2-1.zip for the BHH2 package. Set of functions for ANOVA and Lambda and some other plots. Look
Wisconsin - WEEK - 691
No sessions :-)
Wisconsin - ENGR - 691
Health Information SystemsJose A. Valdez March 3, 2003OutlineConcepts and Issues Health and Information Technology Fundamental Issues Many! Trends Systems theory User-centered designApplication Areas Useful Engineering Tools Hea
Wisconsin - ENGR - 691
Design, Analysis & JustificationDr. Raj Veeramani raj@engr.wisc.eduIE / OIM 672 EBusiness Transformation: Objectives of today's lecture Course overview My expectations for you Student information sheet Defining ebusiness Why ebusin
Wisconsin - ENGR - 691
Advanced Statistical Applications in Continuous Quality ImprovementTypes of Distributions Discrete Applied to variables with specific outcomes (heads or tails, success or failures, conforming or non-conforming) # of C-Sections Episodes of otiti
Wisconsin - ENGR - 691
Dimensional Management and Variation Simulation Analysis"Dimensional Management Founder"Eli WhitneyChallengeXerox"A `feasibility machine' which performs excellently to nominal input can be developed in relatively short order. But, to producti
Wisconsin - ENGR - 691
Impact of Quality on HealthcareTrends Impacting Healthcare Increasing costs at a rate greater than general inflation therefore increasing the % of the GDP dedicated to healthcare. Growing international and national competition (e.g., Specialty Ho
Wisconsin - ENGR - 691
IE 691 Advanced Topics in Quality ImprovementWednesday, 8:50-11:50 amInstructor: Darek Ceglarek Ph.: 265-3457; Office: ME 266E Email: darek@engr.wisc.edu; Office Hours: T, R 5:15 - 6:00 or by appointmentPROJECTS: Description and Samples(1) Pleas
Wisconsin - ENGR - 691
FDA OKs Stent to Improve Heart TreatmentEmail this Story Apr 25, 9:54 AM (ET)By LAURAN NEERGAARD (AP) Graphic shows how a new drug coatedstent can be used in some cases of blocked artieries. (AP. Full ImageWASHINGTON (AP) In a major advan
Wisconsin - ENGR - 691
IE691: Information Sensing and Analysis for Manufacturing Processes Fall 2004Instructor: Shiyu Zhou Location and Time: 2321 ENGR HALL, 2:30p-3:45p, T, R. Office: 266A Mechanical Engineering Building Office Hour: 4:00~5:00pm T R Phone: 608-262-9534 E
Wisconsin - ENGR - 691
1. As the new administrator of Heart R Us hospital, I would like to determine how our length of stay compares for DRG 104 (Cardiac Value w/Cardiac Cath) vs. DRG 105 (Cardiac Value w/o Cardiac Cath). I have only been able to collect 12 months worth of
Wisconsin - ENGR - 691
Working Conditions SurveyPlease fill out and return this survey to the researcher from the University of Wisconsin-Madison. We want your opinions about your working conditions, your performance, and your health. Answer the following questions as com
Wisconsin - ENGR - 691
Questions pertaining to course text reading Assignment for February 24 class session1. In his list of the main items to be included in a national health program, Henry Sigerist rated "medical care" only fourth. "(Page 113 - B&G) Why do you think tha
Wisconsin - ENGR - 691
SPRING 2003 UNIVERSITY OF WISCONSIN-MADISONIE 691: Financial Engineering in Manufacturing Enterprise SystemsName: _ Something about yourself: Hometown: Degree, Program & Exp. Graduate Date: E-mail Address: Why you decided to take this course:__ _
Wisconsin - TEAM - 691
Andy Muelleradmueller@wisc.edu Current Address: 444 W. Mifflin St. Apt #2 Madison, WI 53703 608-256-1959 OBJECTIVE EDUCATION Permanent Address: 4829 Sherwood Rd. Madison, WI 53711 608-274-9626To have a challenging, interesting, and meaningful co-o
Wisconsin - TEAM - 691
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Wisconsin - WEEK - 753
Regional Studies, V.13, pages 439-451.
Wisconsin - ENGR - 753
Email list for IE 753 (Spring 2003) Name Susana Torres-Corona Yoshi Saitoh Matt Krueger Prashant Ram Brian Hicks Kamisha Hamilton Sam Glazer Alice Pawley Jen Schwarz Farheen Khan Jasmine Ku Carmen Mendez-Cruz Todd Loushine Jeff Walker Email torrescor
Wisconsin - ENGR - 617
VIRTUAL SURVEILLVANCE SERVICES Daisy Wong, PhD dwong@medmined.comAgenda MedMined Overview Traditional vs. Virtual Infection Surveillance Data Mining and application to InfectionSurveillance2MedMined Business OverviewHQ in Birmingham, AL 1
Wisconsin - ENGR - 663
Lecture 1. Occupational StressStress PhysiologyThe primary role of the physiological stress response is to: Mobilise the bodies fuel reserves Convert fuel to forms suitable for transportation and use Increase oxygen in the parts of the body th
Wisconsin - ENGR - 663
Lecture 2. Psychology of StressEmotion vs PhysiologyHistorical Perspective William James (1892) "Emotions are a tendency to `feel' rather than to `act'." "Emotions have their bodily `expression', . strong muscular activity ." "Coarser"
Wisconsin - ENGR - 323
IE 323Introduction to duality in LPWhat is duality? Relationship between 2 LPs Each LP has associated with it a unique LP called its dual. The original LP is called the primal. If we start with a dual problem and take its dual, we get the prima
Wisconsin - ENGR - 466
Design forCustomer Needs (CN) Functional Requirements (FR) Design Parameters (DP) Process Variables (PV)XRationaleAspects of modern engineering: Interdisciplinary nature of design Good design is not only to users, but for those who manuf
Wisconsin - ENGR - 466
Psychology in DesignDifferences in thinkingPerception Interpretation Mental modelsPanda Monkey BananaLeaps of AbstractionIE 466: Session 3, Slide 2Differences in Personality"I'm glad they liked my story" "I sure clobbered them in that deb
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Modeling IssuesMain points Local versus global optimality: We really want a global optimum NLP solvers only find local optima When will a local optimum also be global? Simple tests for this property Examples of
Wisconsin - ENGR - 3399
IE 323Facility location problemsBasic idea We have to choose locations for a number of facilities that interact with each other: Cost of interactions (shipments, movement of people, etc.) depends on distances involved We want to locate the faci
Wisconsin - ENGR - 323
IE 323Integer Programming: IntroductionBasic ideas Optimization model whose solution has to be integer: No fractions Most models we'll consider are linear integer programs Nonlinear integer programs exist but: Extremely hard For most, we do
Wisconsin - ENGR - 323
IE 323Static workforce schedulingOverview of problem Meet work requirements with fewest number of employees Example uses post office workplace Different numbers of employees needed on different weekdays Union contract: full time employees only
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Convex Feasible Sets ExampleExample: Advertising Allocation Assign ads to each type of television show drug to minimize advertising cost: Soap operas Football games The company wants at least 40 million men and a
Wisconsin - ENGR - 323
IE 323Non-Linear Programming: Convex Feasible Sets and the GM PropertyConstrained problems We saw that: convexity implies the GM property (for minimization) concavity implies the GM property (for maximization) But we didn't consider constrain
Wisconsin - ENGR - 1199
IE 323Introduction to simplex method1Initial basic feasible solution Pick first basic feasible solution to be x1=0, x2=0 (just for convenience): Slack variables are basic Decision variables are non-basic What are values of basic variables?
Wisconsin - ENGR - 323
IE 323Blending problemsBasic issue in blending Given quantities of (continuous) inputs Blend these to get outputs Generally, quantity constraints on output Quality (octane, min content, etc.) constraints Costs/constraints inside blending proc
Wisconsin - ENGR - 323
IE 323Aggregate planning models1Aggregate planning Complex production process involving Demands Variable workforce size Overtime possibilities Inventory requirements Familiar question: among all possible ways to do it, which costs least?
Wisconsin - ENGR - 323
IE 323Sensitivity analysis example1Consider a change in objective function Increase profit of product one from 4 to 5: Product one is already in optimal basis Since its profitability is increasing, this change can't take it out of the basis
Wisconsin - ENGR - 323
1. Linear Programming Problem Company A has 2 grades of inspectors, 1 and 2, to undertake quality control inspections. At least 1,500 pieces must be inspected in an 8-hour day. Grade 1 inspectors can check 20 pieces an hour with an accuracy of 96%. G
Wisconsin - ENGR - 323
STANDARD FORM Maximize Subject to c1 x1 a11x1 a21x1 +c1x2 +c1x3 +a13x3 +a23x3 . +am3x3 +c1x4 +a14x4 +a24x4 . +am4x4 b1 b2 bm+a12x2 +a22x2 . . am1x1 +am2x2 xi 0 for all iCONVERT FROM MINIMIZING TO MAXIMIZING Minimize c1 x1 +c1x2 +c1x3 +c1x4is
Wisconsin - ENGR - 323
ADVERTISING ALLOCATION PROBLEM Minimize Subject to 50x + (Total cost) 100y 405x1/2 + 17y1/2 (Number of male viewers)20x1/2 + 7y1/2 60 (Number of female viewers)
Wisconsin - ENGR - 323
EXAMPLE Maximize Subject to 9x1 6x1 + 5x2 + 3x2 + 6x3 + 5x3 x3 - x1 - x2 xi = 0 or 1 + x3 + x4 for i=1,2,3,4 + 4x4 + 2x4 + x4 10 1 0 0
Wisconsin - ENGR - 323
PLAYER ASSIGNMENT PROBLEM Maximize Subject to 3x1 +2x2 +2x3 +1x4 (Total defense ability) +2x5 +3x6 +1x7 +1x7 4 +1x6 +1x6 +3/5x6 +1/5x6 +2/5x6 +1x7 2 1 +3/5x7 1.8 +2/5x7 1.8 +2/5x7 1.8 11x1 +1x3 +1x5 (Number of guards) 1x3 +1x4 +1x5 (Number of f
Wisconsin - ENGR - 323
Product Mix Problem OPTIMAL SOLUTION - SUMMARY REPORT (NONZERO VARIABLES) Variable Value Cost 1 VAR 1 1000.0000 6.0000 2 VAR
Wisconsin - ENGR - 323
Product Mix Problem OPTIMAL SOLUTION - DETAILED REPORT Variable Value Cost Red. cost Status 1 VAR 1 1000.00
Wisconsin - ENGR - 320
Statistical Analysis of Output from Terminating SimulationsChapter 6Last revision December 17, 2006Simulation with Arena, 4th ed. Chapter 6 Stat. Output Analysis Terminating SimulationsSlide 1 of 23What We'll Do .Talk about Exam I Hom
Wisconsin - ENGR - 320
Fundamental Simulation ConceptsChapter 2 (Continued)Simulation with Arena, 4th ed. Chapter 2 Fundamental Simulation ConceptsReview and Agenda Advantage and disadvantage of simulation A Simple Processing SystemSeveral Possible Objectives
Wisconsin - ENGR - 320
Review for Exam IIMay 5, 2008What We'll Do . Today Exam Review Tomorrow Nana's office hour: 1-2:30, 3:30-4:20 Mavis's office hour: 2:30-4:00 Wednesday Exam Day Review for Exam General Advices Warm-up Periods and Run Length Random N
Wisconsin - ENGR - 320
Lecture 22Simulation Output AnalysisLast Time Verification Validation 2Today Statistical issues Output analysis Determining replications Determining runlengths 3Statistical Analysis of Output Samples generated by running
Wisconsin - ENGR - 320
Lecture 5Fitting Distributions to Data (continued)AnnouncementsPlease see me after class.If you didn't receive an email from me last week. If you still have problems or questions about registering/switching between/for lecture or lab.[Intr
Wisconsin - ENGR - 320
Welcome to ISyE 320/321!Introduction to SimulationSystems System facility or process, actual or planned Examples abound . Fast-food restaurant Supermarket Bank operation Airport operations (passengers, security, planes, crews, baggage) Tra