This document discusses various types of models, simulations, and their uses. It describes models as mathematical representations that predict real-world systems based on past data. Simulations interactively recreate experiences for learning, using models and user input. Examples discussed include population growth, chemical reactions, flight simulators, and economic models. Advantages are listed as avoiding risks to equipment and people while allowing repeated testing; disadvantages include incomplete representations of reality and high costs.
An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert.
An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert.
This Mathematics Instructor Grading Rubric assesses students on specific skills and key components necessary to memorize and complete in the unit circle.
Digital simulation tools enable designers to virtually prototype industrial controls engineering, by Don Talend, brand storytelling, content management, and content strategy expert. Industrial controls industry
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Digital simulation tools enable designers to virtually prototype industrial controls engineering, by Don Talend, brand storytelling, content management, and content strategy expert. Industrial controls industry
It‘s Math That Drives Things – Simulink as Simulation and Modeling EnvironmentJoachim Schlosser
You can benefit from Simulink, the software that Engineers love for doing their work
Engineers in industries like Aerospace, Automotive, Energy production, Industrial Machinery, Automation, Railway and many others use Model-Based Design with Simulink for an increasing amount of their applications. Simulink allows you to…
gain knowledge about the dynamics of your system and have a direct path to implementation
use the modeling language that most engineers speak.
Math underpins all Systems. Simulink is Math made real.
Whatever domain your system incorporates: It is likely that mathematics plays a part of it. For example, Simulink covers domains like:
Continuous time, Discrete time, Discrete event
State machine, Physical models, Text based algorithms
System environment, Digital hardware, Analog/RF hardware
Embedded software, Mechanical systems
MATLAB & Simulink provide a unified environment for all.
Functional testing those systems uses simulation and formal methods.
Begin to use Simulink for engineering mechatronic systems now.
Find ways to look at the system you could not do before, and save time in your development
Simulink is industry standard for engineering controls, signal processing.
Ask someone who already uses Simulink
Get a deeper insight on mathworks.com/model-based-design/
During conference, reach me at Twitter @schlosi
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About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
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Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
Eureka, I found it! - Special Libraries Association 2021 Presentation
23 simulations
1. Chapter 23 1
Modeling
A model is a program which has been
developed to copy the way a system
works in real life.
It uses mathematical formulas and
calculations to predict what is likely to
happen based on data recorded about
what actually did happen in the past.
A modeling is a set of equations
which describes the behavior of
process
2. Chapter 23 2
Model Builder
You can develop and evaluate your own models or
use the models that have already been set up to
simulate a real life
Models include
Population growth
Supply and demand
Chemical reactions
Nutrient cycle
Carbon cycle
Nitrogen cycle
3. Chapter 23 3
Expert System & Expert Builder
Expert System
Expert system are programs
that mimic the intelligence of
human expert in a specific
field of knowledge.
Could be set up to give
medical advice.
The computer is given a base
of knowledge from the expert
and then given the rules for
processing.
Computer ask the questions
similar to those the expert
would ask and then comes to
similar conclusion.
Expert Builder
That enables you to
construct logical diagrams of
your knowledge .
This software helps you to
understand a problem more
clearly
4. Chapter 23 4
Simulations
A simulation is a software package that recreates
or simulates a complex phenomena,
environment, or experience in order to provide the
user with a better understanding.
A simulation is interactive, and relies upon
decisions made by the user, often in ‘real time’.
Simulation uses computer modelling in order to
work.
The difference between a model and a
simulation is that a simulation also uses
something physical to mimic the system.
5. Chapter 23 5
Simulations
Examples
Thrill ride simulator somewhere like Disneyland.
Another form of simulation is Virtual Reality.
Experiments in chemistry
Airline training
Traffic lights Systems
Nuclear physics experiments
Common uses of simulations include:
Computer games.
Flight simulators.
Economic models.
3D Engineering simulations.
6. Chapter 23 6
Computer games
Computer games are simulations of various
types of experience.
They have five elements:
Graphics (often 3D and sometimes incorporating Full
Motion Video [FMV]).
Sound (including music and sound effects).
An interface (usually the keyboard or a joystick but
also including the graphics, the menu, and the Artificial
Intelligence [AI] incorporated into the game’s
programming).
Game play (including fun and length of playability).
Scenario (the background to the game and any
information or understanding that the player gathers
during play).
7. Chapter 23 7
Flight simulators
Flight simulators are used to train pilots
how to fly.
They can also be used to test new
aircraft before they are actually flown for
the first time.
Flight simulators are expensive to buy
but are much cheaper than actual aircraft.
A landing simulation with ice on the
runway, thick fog and only one of the four
engines working would really test the
pilot’s ability
8. Chapter 23 8
Economic models
Economic models are used by governments
and businesses to see what would happen if
changes occurred in the economy.
For example, the government might want to
see what would happen if they changed the
level of tax on fuel – Would prices increase?
Would road haulage companies go out of
business?
9. Chapter 23 9
3D Engineering simulations
3D Engineering simulations can be
used to design new products (e.g.
cars) or to test existing products
(e.g. Nuclear power stations, oil
refineries, aircraft) in ways that
would be too expensive or too
dangerous to do in real life.
Simpler versions can also be used
to help people to sell products (e.g.
new kitchens), where potential
buyers want to see what the
finished product will look like.
10. Chapter 23 10
Advantages of Models
No equipment is damaged
People aren't put in any danger
Expensive prototypes don't need to be built
Time can be sped up or slowed down
Models can be run and re-run over and over
Modifications can easily be made and re-
tested quickly
11. Chapter 23 11
Disadvantages of Models and Simulations
The results depend on how good the model is and
how much data was used to create it in the first
place.
Models and simulations can't ever completely re-
create real-life situations.
Not every possible situation may have been
included in the model.
The equipment and software are expensive to
purchase.
Staff need to be trained how to use the software
and equipment.