System Simulation in Matlab/Simulink Exercise 1: Matlab part 1) Plot the function yx=2∙x-x2+sin(2∙x)∙cos(x) function problem1 (x) y=2.*x-x.^2+sin(2.*x).*cos(x) plot(x‚y‚’r’) end 2) Print n! from n=2 to 20 function problem2 for k=2:20 n=factorial(k) end 3) Make a function that calculates RSS for a give vector. function [rss]=problem3(a) rss=sqrt(a*a’); end 4) Make a function that check to see if a number is a prime. function problem4(n) flag=0; for k=[2:1:(n/2)]
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Mount Everest Leadership and Teamwork Simulation is one of a series of simulations Forio (the builder of institution simulations and the sellers of simulation development software to businesses‚ universities‚ and government agencies around the world) has industrialized in an affiliation with Harvard Business School Publishing. The simulation consists of five team members including you‚ who will attempt to summit Mount Everest in this mutual multi-player simulation. There are five camps or checkpoints
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Class Simulation Reflection‚ Year One In a recent in class simulation‚ our History class developed a country and Government type to run. Our country‚ being Secrets of the Oasis‚ was a Democracy run by a President‚ House‚ and Senate. There were two political classifications based on wealth‚ and property at the beginning of the simulation: Capitalists and Union Workers. Capitalists were wealthy property and business workers‚ Capitalists produced all of the country’s resources by employing Union Workers
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The History and Future of Flight Control Simulation Larry A. Moody* The Boeing Company‚ Seattle‚ WA‚ 98124-2207 One of the most useful contributions of the Flight Simulator to the technical development of new aircraft is to provide a tool that can be used to develop and evaluate the aircraft’s control characteristics. Early aircraft were controlled entirely with manual actuation of the control surfaces through cables and push rods. In contrast‚ some modern aircraft are controlled almost entirely
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SIMULATION OF AN INDUSTRIAL SCALE AMMONIA PLANT USING HYSYS™ Presented By Mohammad Shamsus Saleheen #0602001 Md. Abu Abdullah Al Hasanat #0602002 1 Outline of the Presentation Objectives Simulating an ammonia plant using Aspen HYSYS A simplified block diagram of Haldor Topsoe ammonia production process Steady-state Model Comparison of steady-state simulation results with real plant data Response of the Model to Changes in Process Variables Scope of future work 2 Objectives
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For this simulation‚ I inherited a dairy farm from my parents and oversaw all mating decisions. I planned to use breeding values with strong correlations for production while regulating inbreeding. The main goal was “to breed a better cow that will maximize herd profitability.” Herd 19 was designated and used for net merit predicted transmitting ability. Herd 20 was selected for fat and protein percentages in my second session (Chittenden). In Simulation session one‚ I selected for milk PTA for
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Management | The Human Resource Management Simulation | Raymond Becich | April 18‚ 2012 | Our major focus at the beginning of the Human Resource Management Simulation was to implement programs and policies that would balance the needs of employees and the needs of the company while creating a profitable company that we would be proud to work for. A major part of balancing these needs was to carefully manage the budget allocated for the simulation. We created a budget spreadsheet to achieve
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Littlefield Simulation 2: Occupylittlefield With our second littlefield simulation complete‚ we have reinforced many of the concepts and lessons learned in class. We had a better understanding of the operation of the littlefield facility and how certain modifications would affect the throughput and lead time. Though we are pleased with our final results compared to the rest of the class‚ we see there is still room for improvement. We made many mistakes‚ but most importantly we have learned from
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SOCIAL SIMULATION | Evolution of Religion and War | | An experimental model based on statistics and analysis has been created to simulate a real-life society for the purpose of observing and analyzing its behaviours and patterns and correlating them with real-world scenarios | Abstract The aim of this project is to conduct social experiments in a life-like simulation environment. By developing complex artificial intelligence models for all the different people present in the sample space
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Simulation models becomes a trend topic for describing the real system. Model is the simplification of the real world. (Pidd‚ 2003) states the model is representation of the part of reality which the people wish to understand‚ change‚ manage‚ and control it. Simulation is used to know the behavior of the real system. (Forrester‚ 1961) states the simulation consists of tracing through the flows of orders‚ goods‚ and information actually then observing the sequences of new decisions. Adams et al. (1999)
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