Towards a Generic Hybrid Simulation Algorithm Based on a Semantic Mapping and Rule Evaluation Approach

Prackwieser, Christoph; Buchmann, Robert Andrei; Grossmann, Wilfried; Karagiannis, Dimitris

doi:10.1007/978-3-642-39787-5_12

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…), intelligent technology (intelligent CAD, intelligent design), high-tech (virtual reality, neural network, genetic algorithm, concurrent design, collaborative design, VR-based product design), and other aspects [15][16][17]. Industrial design modules [10,[18][19][20] are provided in some engineering design software (such as UG, CATIA, EDS, and Unigraphics), which provides a platform for the coordination of industrial design and engineering technology [6] To summarize, in modern industrial design, designers who rely on tacit knowledge, experience, and qualitative judgment cannot meet the needs of design needs and the design process, and the development trend of industrial design methodology is to adopt scientific, quantitative, and accurate research methods. Multidisciplinary collaborative and cross research has become the main method of industrial design, drawing on natural science research methods, modern scientific and technological achievements, and relevant humanities knowledge.…”

Section: Research On the Function And Value Ofmentioning

confidence: 99%

[Retracted] General Industrial Environment and Health Design Software Using a Small Data‐Driven Neural Network Model

Zheng

Gao³

et al. 2022

Journal of Environmental and Public Health

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The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accumulate design knowledge results, sort out the design process, and shorten the design cycle. The goal of this project is to combine artificial intelligence, big data, the Internet of things, parameterization, and other computer technologies with the industrial environment and health design and development process of manufacturing enterprises to solve pain points for businesses and designers, as well as to develop and create a large-scale product-level general parameter intelligent design software. The development of this software project can greatly improve the work efficiency of designers, save the time spent by designers on low-end repetitive labor, and in turn promote designers to engage in more valuable creative work and realize the digitization of entire product life cycle. It can also improve the inefficient and redundant work efficiency of designers, and designers can switch between multiple roles. At the same time, a design think tank is formed through the accumulation of enterprise design knowledge through data, and the neural network platform development of big data drives the design brain, that is, an efficient and intelligent industrial environment and health design expert system is generated, just like the enterprise brain, including expert think tanks, internal technical data encryption of enterprises interface, enterprise core technology think tank, enterprise production resources, risk control standard library, etc.

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Section: Research On the Function And Value Ofmentioning

confidence: 99%

[Retracted] General Industrial Environment and Health Design Software Using a Small Data‐Driven Neural Network Model

Zheng

Gao³

et al. 2022

Journal of Environmental and Public Health

View full text Add to dashboard Cite

show abstract

“…4 suggests, notation-wise the language is customized for user-friendliness (e.g., a question mark communicates the idea of "decision" quicker than standard notations). Structure-wise, it relies on the core concepts of most control flow languages (investigated in [29]), hence the notation could be easily replaced with a standard one if needed, while preserving the semantics.…”

Section: Figure 4 Collaboration Patternsmentioning

confidence: 99%

Conceptual Modeling for Mobile Maintenance: The ComVantage Case

Buchmann

2014

2014 47th Hawaii International Conference on System Sciences

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The paper presents a fragment of a hybrid modeling method designed for the maintenance subdomain of the ComVantage EU research project. The method as a whole addresses modeling needs for business stakeholders trying to achieve business-IT alignment with the technological specificity of the runtime prototypes of the ComVantage research projectmore specifically, a front-end based on mobile apps with a back-end of Linked Data, in order to support collaborative business processes. Mobile maintenance is one of the project application areas and it has its own domain specificity, captured in the modeling method fragment described by the paper. Concepts from several layers of abstraction have been integrated in a metamodel, partially implemented in a modeling tool. Additionally, an RDF export mechanism has been designed to expose the visual models as RDF data structures, thus bridging the design-time and run-time facets of the project.

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Metamodels as a Conceptual Structure: Some Semantical and Syntactical Operations

Karagiannis

Bork

Utz

2019

The Art of Structuring

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Towards a Generic Hybrid Simulation Algorithm Based on a Semantic Mapping and Rule Evaluation Approach

Cited by 6 publications

References 17 publications

[Retracted] General Industrial Environment and Health Design Software Using a Small Data‐Driven Neural Network Model

[Retracted] General Industrial Environment and Health Design Software Using a Small Data‐Driven Neural Network Model

Conceptual Modeling for Mobile Maintenance: The ComVantage Case

Metamodels as a Conceptual Structure: Some Semantical and Syntactical Operations

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