F
Francois Christophe
Researcher at Tampere University of Technology
Publications - 32
Citations - 283
Francois Christophe is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Conceptual design & Systems Modeling Language. The author has an hindex of 8, co-authored 32 publications receiving 235 citations. Previous affiliations of Francois Christophe include Aalto University & Helsinki University of Technology.
Papers
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Journal ArticleDOI
RFBS: A model for knowledge representation of conceptual design
TL;DR: This paper presents the integration of methodologies with a model of knowledge for conceptual design in accordance with model-driven engineering and extends the FBS model and presents its practical implementation through ontology and language such as SysML.
Journal ArticleDOI
Design: A Key Stage of Product Lifecycle☆
TL;DR: The implementation through ontology and language such as SysML that was part of the model-driven engineering philosophy is concretely described in this paper in form of computer-aided tools dedicated to the conceptual design stages.
Journal ArticleDOI
An Integrated Hardware/Software Design Methodology for Signal Processing Systems
Lin Li,Carlo Sau,Tiziana Fanni,Jingui Li,Timo Viitanen,Francois Christophe,Francesca Palumbo,Luigi Raffo,Heikki Huttunen,Jarmo Takala,Shuvra S. Bhattacharyya +10 more
TL;DR: This paper presents a dataflow-based deep neural network (DNN) implementation for vehicle classification that is streamlined for real-time operation on embedded SoC devices and applies and integrates a variety of dataflow graph optimizations that are important for efficient mapping of the DNN system into a resource constrained implementation.
Journal ArticleDOI
Conceptual design framework supported by dimensional analysis and System Modelling Language
TL;DR: A System Modelling Language (SysML) is proposed as a powerful modelling language properly adapted to mechatronic requirements that combines SysML with dimensional analysis and qualitative physics in order to provide a design tool able to carry out also early simulations, comparisons and evaluations.
Proceedings ArticleDOI
OPAS: Ontology Processing for Assisted Synthesis of Conceptual Design Solutions
TL;DR: The objective of this paper is to present the possibility to use artificial intelligence tools as members of the design team for supporting the synthesis of conceptual solutions in a modified version of Gero’s FBS model and the latest developments of modeling languages for systems engineering.