Model-based design to support complex systems implementation as a result of reverse engineering

2015 ◽  
Author(s):  
Tim Foglesong ◽  
Ryan Arlitt ◽  
Rob Stone ◽  
John Parmigiani
Keyword(s):  
Complex Systems ◽  
Reverse Engineering ◽  
Model Based ◽  
Systems Implementation

Integrating Freeform and Feature-Based Fitting Methods

2004 ◽  
Author(s):  
H. James de St. Germain ◽  
David E. Johnson ◽  
Elaine Cohen
Keyword(s):  
Reverse Engineering ◽  
Surface Fitting ◽  
General Purpose ◽  
Freeform Surface ◽  
Domain Expert ◽  
Coordinate Measurement ◽  
Reverse Engineer ◽  
Model Based ◽  
Cad Models ◽  
Feature Based

Reverse engineering (RE) is the process of defining and instantiating a model based on the measurements taken from an exemplar object. Traditional RE is costly, requiring extensive time from a domain expert using calipers and/or coordinate measurement machines to create new design drawings/CAD models. Increasingly RE is becoming more automated via the use of mechanized sensing devices and general purpose surface fitting software. This work demonstrates the ability to reverse-engineer parts by combining feature-based techniques with freeform surface fitting to produce more accurate and appropriate CAD models than previously possible.

scholarly journals Toward Reverse Engineering to Economic Analysis: An Overview of Tools and Methodology

2021 ◽  
Author(s):  
Marisa Faggini ◽  
Bruna Bruno ◽  
Anna Parziale
Keyword(s):  
Complex System ◽  
Nonlinear Dynamics ◽  
Economic Analysis ◽  
Complex Systems ◽  
Reverse Engineering ◽  
Underlying Mechanism ◽  
Economic Data ◽  
Agent Based ◽  
Economic Agents ◽  
Advantages And Disadvantages

AbstractFollowing the reverse engineering (RE) approach to analyse an economic complex system is to infer how its underlying mechanism works. The main factors that condition the difficulty of RE are the number of variable components in the system and, most importantly, the interdependence of components on one another and nonlinear dynamics. All those aspects characterize the economic complex systems within which economic agents make their choices. Economic complex systems are adopted in RE science, and they could be used to understand, predict and model the dynamics of the complex systems that enable to define and to control the economic environment. With the RE approach, economic data could be used to peek into the internal workings of the economic complex system, providing information about its underling nonlinear dynamics. The idea of this paper arises from the aim to deepen the comprehension of this approach and to highlight the potential implementation of tools and methodologies based on it to treat economic complex systems. An overview of the literature about the RE is presented, by focusing on the definition and on the state of the art of the research, and then we consider two potential tools that could translate the methodological issues of RE by evidencing advantages and disadvantages for economic analysis: the recurrence analysis and the agent-based model (ABM).

scholarly journals Architecture at the edge of chaos: a model for uncertainty in architecture

2021 ◽  
Author(s):  
Calvin Fung
Keyword(s):  
Complex Systems ◽  
Conceptual Model ◽  
Granular Matter ◽  
Human Agency ◽  
Dynamic Feedback ◽  
Edge Of Chaos ◽  
Model Based ◽  
Ecological Changes ◽  
Unique Approach

The changing needs of society informed by rapid technological, social and ecological changes have disturbed the foundation of permanence on which much of architecture was built. Traditional Western architecture is too solid, hard, and slow—presenting difficulties for it to adequately adapt to change and uncertainty. A reconceptualization of architecture is necessary, one not focused on the certainty of solutions or forms, but one patterned by the dynamic feedback of human agency and environmental forces. For architecture to adapt, and to adapt to unpredictable circumstances, requires that architecture accept uncertainty in its formulation and materialization. Embracing systems-based thinking, a conceptual model based on the complex systems of granular matter provides a unique approach to architecture’s material and immaterial structures. Architecture will then be critically poised at the edge of chaos, ready to reorganize and evolve towards a new fluid paradigm.

On Developing Hybrid Modeling Methods using Metamodeling Platforms

2015 ◽  
Vol 6 (1) ◽  
pp. 47-66
Author(s):  
Srdjan Zivkovic ◽  
Krzystof Miksa ◽  
Harald Kühn
Keyword(s):  
Complex Systems ◽  
Hybrid Modeling ◽  
Modeling Languages ◽  
Modeling Tools ◽  
Analysis And Design ◽  
Domain Specific ◽  
Modeling Methods ◽  
Model Based ◽  
Domain Specific Modeling ◽  
Specific Modeling

It has been acknowledged that model-based approaches and domain-specific modeling (DSM) languages, methods and tools are beneficial for the engineering of increasingly complex systems and software. Instead of general-purpose one-size-fits-all modeling languages, DSM methods facilitate model-based analysis and design of complex systems by providing modeling concepts tailored to the specific problem domain. Furthermore, hybrid DSM methods combine single DSM methods into integrated modeling methods, to allow for multi-perspective modeling. Metamodeling platforms provide flexible means for design and implementation of such hybrid modeling methods and appropriate domain-specific modeling tools. In this paper, we report on the conceptualization of a hybrid DSM method in the domain of network physical devices management, and its implementation based on the ADOxx metamodeling platform. The method introduces a hybrid modeling approach. A dedicated DSM language (DSML) is used to model the structure of physical devices and their configurations, whereas the formal language for knowledge representation OWL2 is used to specify configuration-related constraints. The outcome of the work is a hybrid, semantic technology-enabled DSM tool that allows for efficient and consistency-preserving model-based configuration of network equipment.

scholarly journals APPLYING MODEL-BASED SYSTEMS ENGINEERING TO THE DEVELOPMENT OF AUTONOMOUS VESSEL FUNCTIONS

2020 ◽  
Vol 1 ◽  
pp. 2455-2464
Author(s):  
O. Bleisinger ◽  
S. Forte ◽  
C. Apostolov ◽  
M. Schmitt
Keyword(s):  
Complex Systems ◽  
Systems Engineering ◽  
Usage Phase ◽  
Model Based ◽  
Civil Sector ◽  
External Actors ◽  
Model Based Systems Engineering ◽  
Autonomous Vessel ◽  
Operational Aspects

AbstractDeveloping autonomous functions for complex systems leads to high demands on the consideration of dependencies to external actors in the usage phase. In Model-Based Systems Engineering (MBSE), this can be achieved by modelling operational aspects. Operational aspects are model elements and their relationships to each other. In this contribution, modelling of operational aspects with a MBSE-approach will be demonstrated exemplary on a case study related to the development of a yacht with an autonomous docking assistant. Currently modelling operational aspects is not common in the civil sector.

Sign in / Sign up

Export Citation Format

Share Document