Chapter 14 Simulation and Other Applications Nell Dale John Lewis.

Slides:



Advertisements
Similar presentations
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. A PowerPoint Presentation Package to Accompany Applied Statistics.
Advertisements

Chapter 14 Simulation. 2 What Is Simulation?  Simulation: A model of a complex system and the experimental manipulation of the model to observe the results.
Advanced Manufacturing Laboratory Department of Industrial Engineering Sharif University of Technology Session # 7.
Final topics: Scheduling Recap and some advanced topics.
Modeling & Simulation. System Models and Simulation Framework for Modeling and Simulation The framework defines the entities and their Relationships that.
Integrating Educational Technology into the Curriculum
Ying Wang EDN 303 Fall Objectives Define curriculum-specific learning Explain the difference between computer, information, and integration literacy.
Your Interactive Guide to the Digital World Discovering Computers 2012.
Lecture 3 Concepts of Discrete-Event Simulation. 2 Discrete Event Model  In the discrete approach to system simulation, state changes in the physical.
Classification of Simulation Models
Chapter 14 Simulation and Other Applications Chapter Goals Define simulation Give examples of complex systems Distinguish between continuous and.
Living in a Digital World Discovering Computers 2010.
Simulation Waiting Line. 2 Introduction Definition (informal) A model is a simplified description of an entity (an object, a system of objects) such that.
Lab 01 Fundamentals SE 405 Discrete Event Simulation
1 The development of modern computer systems Early electronic computers Mainframes Time sharing Microcomputers Networked computing.
Chapter 12: Simulation and Modeling Invitation to Computer Science, Java Version, Third Edition.
Chapter 14 Simulation, Graphics and Other Applications.
Your Interactive Guide to the Digital World Discovering Computers 2012.
Chapter 14 Simulation. 2 What Is Simulation?  Simulation: A model of a complex system and the experimental manipulation of the model to observe the results.
Chapter 14 Simulation, Graphics, Gaming and Other Applications.
Chapter 12: Simulation and Modeling
Chapter 14 Simulation and Other Applications. 2 Chapter Goals Define simulation Give examples of complex systems Distinguish between continuous and discrete.
Chapter 14 Simulation, Graphics and Other Applications.
Your Interactive Guide to the Digital World Discovering Computers 2012 Chapter 3 Software for Systems Chapter 4 – Application Software.
Introduction to Discrete Event Simulation Customer population Service system Served customers Waiting line Priority rule Service facilities Figure C.1.
Chapter 1 Introduction to Simulation
Chapter 14 Simulation, Graphics and Other Applications.
©2008 Pearson Education, Inc., Upper Saddle River, NJ. All rights reserved. This material is protected under all copyright laws as they currently exist.
Computers and Communication. Computer Technology is responsible for causing great leaps forward in communication technology. Computer Technology is responsible.
© 2007 Pearson Addison-Wesley. All rights reserved 0-1 Spring(2007) Instructor: Qiong Cheng © 2007 Pearson Addison-Wesley. All rights reserved.
Chapter 1 Intro to Computer Department of Computer Engineering Khon Kaen University.
Chapter 3 System Performance and Models. 2 Systems and Models The concept of modeling in the study of the dynamic behavior of simple system is be able.
Language Objective: Students will be able to practice agreeing and disagreeing with partner or small group, interpret and discuss illustrations, identify.
1 Systems Analysis and Design in a Changing World, Thursday, January 18, 2007.
Big Ideas Differentiation Frames with Icons. 1. Number Uses, Classification, and Representation- Numbers can be used for different purposes, and numbers.
Foundations of Technology Modeling and Prototypes
Operations Management using System Dynamics Part I.
Chapter 14 Simulation and Other Applications. 2 What Is Simulation? Simulation A model of a complex system and the experimental manipulation of the model.
Why building models? n Cannot experience on the real system of interest n Cost n Danger n The real system does not exist Why using simulation? n Reduced.
I Robot.
 What is Modeling What is Modeling  Why do we Model Why do we Model  Models in OMT Models in OMT  Principles of Modeling Principles of Modeling 
Drawing Board. House Plan Electricity Installation.
Chapter 2 Fundamental Simulation Concepts
MODELING EXAMPLES Types of model Conceptual Containing components that have not been clearly Identified in terms of theoretic categories such as state,
What is Science? Chapter 1, Lesson 1. Using one or more of your senses and tools to gather information. observing.
OPERATING SYSTEMS CS 3530 Summer 2014 Systems and Models Chapter 03.
Copyright © 2015 Pearson Education, Inc. Chapter 0: Introduction.
Discovering Computers 2010
 Simulation enables the study of complex system.  Simulation is a good approach when analytic study of a system is not possible or very complex.  Informational,
Discovering Computers Fundamentals, 2010 Edition Living in a Digital World.
Hierarchical Modeling.  Explain the 3 different types of model for which computer graphics is used for.  Differentiate the 2 different types of entity.
Science and Engineering Practices K–2 Condensed Practices3–5 Condensed Practices6–8 Condensed Practices9–12 Condensed Practices Developing and Using Models.
Chapter 1 What is Simulation?. Fall 2001 IMSE643 Industrial Simulation What’s Simulation? Simulation – A broad collection of methods and applications.
Modelling & Simulation of Semiconductor Devices Lecture 1 & 2 Introduction to Modelling & Simulation.
Software Design Process. What is software? mid-1970s executable binary code ‘source code’ and the resulting binary code 1990s development of the Internet.
Section a – Chapter # ● Chapter 1 - The Science of Physics.
Traffic Simulation L2 – Introduction to simulation Ing. Ondřej Přibyl, Ph.D.
Chapter 12: Simulation and Modeling
OPERATING SYSTEMS CS 3502 Fall 2017
Prepared by Lloyd R. Jaisingh
Chapter 2 Database System Concepts and Architecture
Modeling and Simulation (An Introduction)
Computer Aided Design and Computer Aided Manufacturing
DSS & Warehousing Systems
Invitation to Computer Science 5th Edition
Bioinformatics how to …
Simulation Modeling.
Foundations of Technology Modeling and Prototypes
Simulation, Graphics and Other Applications
Francis Palma Indiana Wesleyan University (IWU)
Presentation transcript:

Chapter 14 Simulation and Other Applications Nell Dale John Lewis

14-2 Chapter Goals Define simulation Give examples of complex systems Distinguish between continuous and discrete event simulation Explain how object-oriented design principles can be used in building models

14-3 Chapter Goals (cont.) Name and discuss the four parts of a queuing system Explain the complexity of weather and seismic models Explain the concept of embedded systems and give examples from your own home Distinguish between two-dimensional and three-dimensional CAD systems

14-4 What Is Simulation? Simulation: a model of a complex system and the experimental manipulation of the model to observe the results –Systems that are best suited to being simulated are dynamic, interactive, and complicated A model is an abstraction of a real system –It is a representation of the objects within the system and the rules that govern the interactions of the objects

14-5 Constructing Models Continuous simulation –Treats time as continuous and expresses changes in terms of a set of differential equations that reflect the relationships among the set of characteristics –Meteorological modeling falls into this category

14-6 Constructing Models Discrete event simulation –Made up of entities, attributes, and events –An entity represents some object in the real system that must be explicitly defined –An attribute is some characteristic of a particular entity –An event is an interaction between entities

14-7 Queuing Systems A queuing system is a discrete-event model that uses random numbers to represent the arrival and duration of events –made up of servers and queues of objects to be served –The objective of a queuing system is to utilize the servers as fully as possible while keeping the wait time within a reasonable limit

14-8 Queuing Systems To construct a queuing model, we must know the following four things –The number of events and how they affect the system in order to determine the rules of entity interaction –The number of servers –The distribution of arrival times in order to determine if an entity enters the system –The expected service time in order to determine the duration of an event

14-9 Meteorological Models Meteorological models are based on the time-dependent partial differential equations of fluid mechanics and thermodynamics Initial values for the variables are entered from observation, and the equations are solved to define the values of the variables at some later time

14-10 Meteorological Models Computer models are designed to aid the weathercaster, not replace him or her –The outputs from the computer models are predictions of the values of variables in the future –It is up to the weathercaster to determine what the values mean

14-11 Hurricane Tracking The modules for hurricane tracking are called relocatable models, because they are applied to a moving target The Geophysical and Fluid Dynamics Laboratory (GFDL) developed the most recent hurricane model in order to improve the prediction of where a hurricane would make landfall

14-12 Hurricane Tracking Figure 14.2 Improvements in hurricane models

14-13 Graphics and Computer-Aided Design (CAD) Graphics is the language of communications for engineers, designers, and architects Computer-aided design (CAD) refers to a system that uses computers with advanced graphics hardware and software to create precision drawings or technical illustrations

14-14 Graphics and Computer-Aided Design (CAD) CAD systems can be broadly classified as two- dimensional (2-D) CAD and three-dimensional (3-D) CAD There are three methods of modeling in three dimensions –Wireframe modeling –Surface modeling –Solid modeling

14-15 Graphics and Computer-Aided Design (CAD) Figure 14.3 Geometric modeling techniques

14-16 Embedded Systems Embedded systems are computers that are dedicated to perform a narrow range of functions as part of a larger system –Typically, an embedded system is housed on a single microprocessor chip with the programs stored in ROM –Virtually all appliances that have a digital interface— watches, microwaves, VCRs, cars—utilize embedded systems –In fact, the term embedded system is nebulous because it encompasses about everything except desktop PCs

14-17 Ethical Issues: Online Gambling While most businesses have received unanimous praise for their online services, Internet casinos have garnered a mixed response –Anyone with access to the Internet and a credit card can go online and gamble –This ease of access is likely to lead to the problem of gambling addictions. –Online casinos, approximately 15, were in operation in 1997 compared to more than 1,000 in 2002