Objective and Background The objective of this experiment is to determine how the numbers of simulated particles‚ inhomogenities in the medium and the voxel size affect the simulations ability to calculate dose‚ as well as to understand the effects of cutoff energy on the Monte Carlo simulation (MC). Particle interactions are the cause of everything we know to exist‚ such as the bright lights that illuminate the room you are in or the heat you feel when you stay in the sun for too long. To understand
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construction and the company’s internal documents and policies. By using the Monte Carlo simulation technique‚ simulation of risks in completed infrastructural projects will be performed. This project will involve the performance of Monte Carlo simulations on two accomplished infrastructural projects. A Monte Carlo simulation is a problem solving technique used to approximate the probability of certain outcomes by running multiple trial runs‚ called simulations‚ using random variables. The simulation will generate both a probability and a range of the outcome
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Experimental Errors and Uncertainty No physical quantity can be measured with perfect certainty; there are always errors in any measurement. This means that if we measure some quantity and‚ then‚ repeat the measurement‚ we will almost certainly measure a different value the second time. How‚ then‚ can we know the “true” value of a physical quantity? The short answer is that we can’t. However‚ as we take greater care in our measurements and apply ever more refined experimental methods‚ we can reduce
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multi-million dollar simulation. It is very appealing to leverage off the mass market budgets of computer games. This has spawned a number of gaming based development environments that can be used to create professional simulations. This then raises a series of questions. Where exactly is gaming technology being used in the simulation industry? What are the differences between a serious game and a professional simulator? How can companies tasked with creating professional simulations for training best
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Number: (443)956-6067 E-mail Address: surban1@jhu.edu Teaching Assistant Ben Brock: bbrock1@jhu.edu Office Hours Saturdays‚ 10:00am – 12:30pm at DC Center (room 201) or by appointment Required Text and Learning Materials: Stochastic Simulation and Applications in Finance with MATLAB Programs‚ (2008)‚ Huu Tue Huynh‚ Van Son Lai‚ Issouf Soumare (HLS) [this book may be available as an e-book for students] MATLAB: An Introduction with Applications 4th Edition (2010) or earlier Editions
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PSCAD simulation model is shown below figure‚ Definition of Transmission line AB Definition of Transmission line BC Definition of transmission line BD Comparison of voltages in each substation with the results got from Bewley Lattice Diagram and simulation results are shown in below‚ Substation A Substation B Substation C Substation D When we compare simulation results with the graphs we got using Bewley lattice
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Table of Contents 1.0 Introduction 3 2.0 Current Simulation Model 3 2.1 Clock Options 3 2.2 The warm-up period 3 2.3 Results collection period 4 2.4 The number of trials used 4 2.5 Results analysis 4 3.0 Pooling Resources 5 3.1 The impact of pooling resources 5 3.2 Comparison between initial model and pooled model 6 4.0 Usefulness of Simulation Model in Business Context 6 4.1 Simulation and decision making 6 4.2 Researcher Recommendation
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ERRORS IN MEASUREMENT Errors in Measurement Structure 2.1 Introduction Objectives 2.2 Classification of Errors 2.2.1 Gross Errors 2.2.2 Systematic Errors 2.2.3 Random Errors 2.3 Accuracy and Precision 2.4 Calibration of the Instrument 2.5 Analysis of the Errors 2.5.1 Error Analysis on Common Sense Basis 2.5.2 Statistical Analysis of Experimental Data 2.6 Summary 2.7 Key Words 2.8 Answers to SAQs 2.1 INTRODUCTION The
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Kenji L Logie Modeling Simulation Final Project Simulating a Worst Case Social Security Model System of Interest For the purpose of this simulation a simplified worst case social security model was created for a developing country’s social security program. The program simulates how long it would take this new social security program to go bankrupt‚ if it earns no interest on its capital‚ and its only source of paying out benefits is members’ monthly contributions and its initial capital of
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EM 408 Advanced Human Relations in the Organization and the Filipino Personality Reporter: Dolores R. Dela Cruz Ph.D. EM Student Topic: Human Behavior and Training Experiential Method‚ Instructional Method‚ Simulation Method I. Introduction Methods are the means or ways that we use to teach material to our students. Our choice of methods depends on what we want to teach (content)‚ who we are teaching‚ and the level of competence expected. A training method is
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