Concept

General-purpose modeling

Related publications (58)

Code Generation Approach Supporting Complex System Modeling based on Graph Pattern Matching

Code generation is an effective way to drive the complex system development in model-based systems engineering. Currently, different code generators are developed for different modeling languages to deal with the development of systems with multi-domain. T ...

ELSEVIER2022

Design Ontology Supporting Model-Based Systems Engineering Formalisms

Jinzhi Lu, Xiaochen Zheng, Han Li

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, deve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Virtual Prototyping Methodology for Power Automation Cyber-Physical-Systems

Juan Sebastian Rodriguez Estupinan

In this thesis, the author proposes a circular system development model which considers all the stages in a typical development process for industrial systems. In particular, the present work shows that the use of virtual prototyping at early stages of the ...

EPFL2017

Bidirectional transformation between BIP and SysML for visualisation and editing

Leandro Kieliger, Clément Jean Maurice Nussbaumer

When it comes to designing software, the classic procedure consists of writing code that complies with the projects requirements first, and then to extensively test for bugs and defects. Although this approach is valid and can produce correct results, it i ...

2017

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Pierre Vandergheynst, Xavier Bresson, Michaël Defferrard, Youngjoo Seo

This paper introduces Graph Convolutional Recurrent Network (GCRN), a deep learning model able to predict structured sequences of data. Precisely, GCRN is a generalization of classical recurrent neural networks (RNN) to data structured by an arbitrary grap ...

2017

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Matthias Grossglauser, Lucas Maystre, Young Jun Ko

Modern technologies enable us to record sequences of online user activity at an unprecedented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating-prediction paradigm, ignoring temporal ...

2016

Modeling and characterization of grain structures and defects in solidification

Michel Rappaz

The paper by Karma and Tourret (this volume) in this special issue focuses on multiscale modeling approaches ranging from atoms to microstructure. In the present one, the most recent and significant modeling contributions dealing with the scale of solidifi ...

Elsevier2016

Applying model checking to industrial-sized PLC programs

Jean-Charles Tournier, Simon Bliudze, Borja Fernandez Adiego

Programmable Logic Controllers (PLCs) are embedded computers widely used in industrial control systems. Ensuring that a PLC software complies with its specification is a challenging task. Formal verification has become a recommended practice to ensure the ...

Institute of Electrical and Electronics Engineers2015

Orchestration Graphs

Pierre Dillenbourg

By modeling pedagogical scenarios as directed geometrical graphs and proposing an associated modeling language, this book describes how rich learning activities, often designed for small classes, can be scaled up for use with thousands of participants. Wit ...

EPFL Press2015

Interactive Architectural Modeling from Point Clouds

Nicolas Maître

In this work, we present an intuitive and interactive tool to model high quality 3D architectural objects starting from a MVS point cloud. Our implementation is inspired by [1] that describes the modeling system as well as the 3D reconstruction algorithm w ...

2015

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