INTELLIGENT POWERTRAIN DESIGN

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INTELLIGENT POWERTRAIN DESIGN
The GENERIC MODELING ENVIRONMENT (GME)
Shravana Kumar Musunuri, Jimmy Mathews Advisors
Dr. Joseph Picone Dr. David
Gao Powertrain Design Tools Project
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Outline

• Overview of Computer-Based Systems (CBS)
• Introduction to Model Integrated Computing (MIC)
• Principles of Domain Specific Modeling
  Environments (DSME)
• Configurable Domain Specific Modeling
  Environments (CDSME)
• Introduction to Generic Modeling Environment
  (GME)
• GME Concepts

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• Computer-Based Systems

• Necessity
• Complex systems
• Efficient and Faster
• Capability of Modeling and Simulation

• Challenges
• Tight Integration of Information Processing and
  physical systems (prime importance)
• Expensive to develop and maintain
• Agility of applications

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Model-Based Systems

• Models Mathematical abstractions of the behavior
  of physical artifacts
• Modeling Usage of abstractions (models) as
  programming elements
• Model-Based Systems Systems employing concepts
  of modeling
• Provides basis for solving complex systems
• Based on separation of problem-solving algorithm
  from the model

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• Model-Integrated Computing

• Integration of Design tools and the executable
  system
• Approach for rapid design and implementation of
  systems where the software, the environment and
  the integration constraints are modeled
• Provides framework for developing domain
  artifacts for computer-based systems
• Relies heavily on the use of domain-specific
  languages to describe the final system
  implementation

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• Model Integrated Computing (contd..)

• Model Integrated Program Synthesis (MIPS) One
  approach of model integrated computing
• Operates according to a domain-specific set of
  requirements and describes how any system in the
  domain can be modeled
• Specifies types of entities, relationships and
  requirements for domain modeling
• MultiGraph Architecture (MGA) Tool set for
  creating MIPS environments
• Provides means for evolving domain-specific
  applications by model modifications and
  re-synthesis of applications.

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• Domain Specific Modeling

• Domain A family of related systems e.g.
  engineering domain uses numerical analysis,
  matrix transforms, etc.
• Domain-specific modeling (DSM) is a technology
  that focuses on higher levels of abstraction at
  the problem space and avoids low-level details at
  the solutions space.
• Allows the user to manipulate graphical models of
  the problem in hand
• Useful in automating different kinds of
  applications in which the environment is dynamic
  and tightly integrated with the physical
  environment including
• embedded systems
• automotive manufacturing

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• Domain Specific Modeling Environment

• DSME A domain-specific environment that uses
  models to create systems
• Only things related to a particular domain are
  available to the domain user
• Examples
• Matlab, Spice, Microsoft Office, AutoCAD
• Modeling Paradigm Defines the family of models
  that can be created using the resultant MIPS
  environment
• Provides the semantic , syntactic, presentation
  information regarding the domain, which are used
  in the construction of models.

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• Domain Specific Modeling Environment (contd..)

• Metamodeling Modeling of a modeling environment
• Metamodels
• Models of a particular modeling environment
• Provides formal semantics for Domain Specific
  Modeling Languages
• Model Interpreters
• Performs the translation between domain models
  and applications
• Traverses the model database, analyzes the
  models and creates the executable systems

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• Domain Specific Modeling Environment (contd..)

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• Domain Specific Modeling Environment (contd..)

• Another view

• Metamodeling tools are used to design a DSME.
  This customized environment is then used to
  develop the models of the system 4.

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• Model-Integrated Computing-based development 2

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• Overview of MIPS

Overview of MIPS 4
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• Configurable Domain Specific Modeling Environment
  (CDSME)

• Why CDSME ?
• Creating a DSME for each domain is expensive and
  time consuming.
• To include various aspects for customization of
  an application
• Example of CDSME
• Generic Modeling Environment (GME), developed by
  Institute for Software Integrated Systems (ISIS),
  Vanderbilt university.

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• Generic Modeling Environment

• The Generic Modeling Environment is a
  configurable tool kit for creating
  domain-specific modeling, model analysis and
  program synthesis environments.
• Configuration though UML and OCL based
  meta-models
• Extensible architecture through MS COM and .net
• Multiple standard backend support (ODBC,XML)
• Multiple language support C, VB, Java, C,
  Python
• GME is based on the same Modeling Integrated
  Computing concepts like Modeling paradigm,
  Metamodels, MIPS.

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• MIPS and GME link 7

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GME 4.0 Main Editing Window 6

• Title bar Indicates the currently loaded project
• Menu bar Commands for certain operations on the
  model
• Tool bar Icon button shortcuts for several
  editing functions
• Mode bar Buttons for selecting and editing modes
• Editing area Area containing model editing
  windows
• Part browser Shows the parts that can be
  inserted in the current aspect of the current
  model
• Attribute browser Shows the attributes and
  preferences of an object

• Status bar Shows status, error messages, current
  edit mode,paradigm name, zoom factor and current
  time
• Model browser Shows either aggregation hierarchy
  of the project, type inheritance of model, or
  overview of the current modeling paradigm

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GME Concepts

• Models An abstract object that represents
  something
• Has state, identity and behavior
• The purpose of GME is to create and manipulate
  these models.
• E.g. A dataflow block is the model for an
  operator in Signal Processing domain.
• A model can consist of various parts
• like atoms, other models, references
• sets and connections.

• Default Icon

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GME Concepts (contd..)

• Models containing other models as parts are
  called compound models.
• Models that cannot contain any other models as
  parts are called primitive models.
• Atoms Simple modeling objects that do not have
  internal structure, but they can have attributes
• E.g. An output dataport on a dataflow block in
  Signal Processing domain.

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GME Concepts (contd..)
Model Hierarchy Models can contain other models
as parts, same or different kind as the parent
model. This results in model hierarchy. E.g.
Hierarchical dataflow diagrams in Signal
Processing domain.
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GME Concepts (contd..)

• References Objects that refer to other modeling
  objects
• A reference can point to a model, an atom, a
  model embedded in another model or even another
  reference part.
• Null references is possible
• Connections A line that connects two parts of a
  model
• Has two attributes, appearance and
  directionality
• When a line is drawn, GME checks whether the
  connection is legal or not by determining if the
  two types of objects are allowed to be connected
  together.
• E.g. Connections between dataflow blocks in
  Signal Processing paradigm

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GME Concepts (contd..)
Links A port through which the model is
connected to another part within the parent
model Aspects Defines the kinds of parts that
are visible in that aspect. The existence or
visibility of a part within a particular aspect
is determined by the modeling paradigm. E.g.
Signal flow and states aspects for a Signal
Processing paradigm Attributes Property of an
object described textually. Objects can have
multiple attributes. The modeling paradigm
defines what attributes, range of values are to
be present for the particular objects. E.g.
Datatype of parameters in a Signal Processing
paradigm
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GME Concepts (contd..)

• Attribute box associated with a parameter atom
  called pi.

Sets Represent different states of a dynamic
system. Is composed of almost the same parts
either in visible or missing mode depending
on the state of the system. When a particular set
is activated, only objects belonging to that set
are visible, the others being dimmed out.
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References

• Hernandez.F,Bangalore.P,Gray.J,Reily.K , A
  Graphical Modeling Environment for the Generation
  of Workflows for the Globus Toolkit , Workshop
  on Component Models and Systems for Grid
  Applications , June-July 2004.
• Nordstrom.G, Karsai.G,et.al, Model Integrated
  Computing-based Software Design and Evolution,
  Conference on Life Cycle Software Engineering
  Technology for Modern Avionics, Missiles, and
  Smart Weapon Systems, , Huntsville, Alabama,
  August 2000.
• Ledeczi A., Model Construction for
  Model-Integrated Computing, 13th International
  Conference on Systems Engineering, Las Vegas, NV,
  August, 1999.
• Sprinkle. J, Model-integrated computing, IEEE
  Potentials, Volume 23,  Issue 1
  , February-March 2004.
• Sztipanovits. J, Karsai. G, Model-integrated
  computing, Computer  ,Volume 30 , Issue 4
  , April 1997.
• GME 4 Users Manual , Institute for Software
  Integrated Systems, Vanderbilt University.
• Akos Ledeczi, The Generic Modeling
  Environment, Institute for Software Integrated
  Systems, Vanderbilt University.

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• Questions