Week 1 Assignment 1 Candice O’Byrne Sci/241 January 11‚ 2012 Stephen Murray Week 1 Assignment 1 Understanding food labels is essential knowledge for eating healthily and for making sure that the proper nutrients are available in the food we consume every day. Nearly every packaged food item purchasable in the United States is labeled with the nutritional value by the Food and Drug administration. A few key elements exist to help us understand the nutrition on these labels. The 5/20
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SIMULATION AND MODELING 1. Generate 20 random numbers and solve the following integrals by monte-carlo (i) (ii) 2. A piece of equipment contains four identical tubes and can function only if all the four are in working order. The lives of tubes has approximately uniform distribution from 1000 to 2000 hours. The current maintenance practice is to replace a tube when it fails. Equipments has to be shut down for 1 hr for replacing a tube‚ the cost of one tube is sh 100‚ while the shut down time
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Chapter 1: Types of Simulation Contents Introduction ................................................................................................................................ 2 The Basic Simulation Process................................................................................................... 2 Figure 1.01: Basic Simulation Process............................................................................ 2 Figure 1.02: Decision Cycle.........................................
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5.1 Simulation 5.1.1 System description To conduct the experiment‚ as a data set we used different videos from outdoor places which comprise of both normal and abnormal motions. The experimental results of one of the videos have been presented in figure 5.1-5.8. The video consists of 100 frames where both normal and abnormal motion exists. Figure: 5.8.1 System block diagram 5.2 Results Figure: 5.9.1 Normal motion of the Truck Figure: 5.2.2 Abnormal motion of the Truck Figure: 5.2.3 Abnormal
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Monte Carlo Simulation Using RiskSim 10 10.1 RISKSIM OVERVIEW RiskSim is a Monte Carlo Simulation add-in for Microsoft Excel 2000–2010 (Windows) and Microsoft Excel 2004 (Macintosh). RiskSim provides random number generator functions as inputs for your model‚ automates Monte Carlo simulation‚ and creates charts. Your spreadsheet model may include various uncontrollable uncertainties as input assumptions (e.g.‚ demand for a new product‚ uncertain variable cost of production‚ competitor reaction)
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1. INTRODUCTION Simulation history is viewed in different angles including: -simulation uses e.g. analysis‚ training‚ research. - types of simulation models e.g. discrete-event‚ continuous‚ combined discrete - simulation programming languages or environments e.g. Arena‚ SIMSCRIPT‚SLAM and - application domains or communities of interest e.g. communications‚ manufacturing‚ military‚ transportation). The objective of this history is to highlight people‚ places‚ and events that have marked
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Computer Simulation * A software program that runs on any computer that attempts to simulate some phenomenon based on a scientist’s conceptual and mathematical understanding of the given phenomenon. * The scientist’s conceptual understanding is reduced to an algorithmic or mathematical logic‚ which is then programmed in one of many programming languages (Fortran‚ C‚ C++‚ etc.) and compiled to produce a binary code that runs on a computer. * Have become a useful part of modeling
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Summary…………………………………………………………………………………2. Introduction……………………………………………………………………………………………3. Preparation of Everest simulation………………………………………………………………….3 Critical Analysis of Attitudes / groups and teams of Everest simulation 1 and 2 Group Experience and result……………………………………………………………………….. Individual experience and result……………………………………………………………………. Critical Analysis of Leadership of Everest Simulation 1 and 2 Group experience and result……………………………………………………………. Individual Experience and result…………………………………………………
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Your Mission during the EIS Simulation The Teleswitches Management Team· Structure EIS Simulation .... Getting Started EIS Simulation - Sample Screens & Navigation EIS Simulation - Stopping &. Saving Sessions Appendix A: Cross Reference for Key Navigation Buttons Appendix B: Initiatives (Detailed Descriptions) © AlphaLabs‚ 2006 299 The ’:EIS Simulation’ The Change‚ IT Innovation and People Manageme·nt Challe·nge 1.0 Introduction In the ’EIS Simulation’‚ you will be challenged to
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EP313 Chemical Process Simulation and Design L1 - Introduction 10/1/2014 Process modeling: Concept 1 Identification: our objective is to find structure‚ R of the process. We must know the input‚ I and output‚ O parameters. I R? O 10/1/2014 Process modeling: Concept 2 Simulation: our objective is to get the value of O. We know the structure of the model‚ R and we can simulate what the output‚ O for the given input‚ I. I R O? 10/1/2014 Process modeling
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