Eat vegan anytime, anywhere with Vegan on the Go. With over 100 nutritious recipes and healthy lunch ideas, your desk lunch will never be sad again. Eat vegan snacks, soups, salads, sandwiches, hearty mains, and desserts with meals created by vegan authors Jérôme Eckmeier and Daniela Lais.
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A little preparation goes a long way to creating amazing and vibrant vegan meals. Eat your fill with Vegan on the Go.
Foreword, Brian R. Larson.
Foreword, Dominique Potier.
Introduction, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet.
Part 1. General Concepts
1. Elements for the Design of Embedded Computer Systems, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet.
2. Case Study: Pacemaker, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet.
Part 2. SysML
3. Presentation of SysML Concepts, Jean-Michel Bruel and Pascal Roques.
4. Modeling of the Case Study Using SysML, Loïc Fejoz, Philippe Leblanc and Agusti Canals.
5. Requirements Analysis, Ludovic Apvrille and Pierre De Saqui-Sannes.
Part 3. MARTE
6. An Introduction to MARTE Concepts, Sébastien Gérard and François Terrier.
7. Case Study Modeling Using MARTE, Jérôme Delatour and Joël Champeau.
8. Model-Based Analysis, Frederic Boniol, Philippe Dhaussy, Luka Le Roux and Jean-Charles Roger.
9. Model-Based Deployment and Code Generation, Chokri Mraidha, Ansgar Radermacher and Sébastien Gérard.
Part 4. AADL
10. Presentation of the AADL Concepts, Jérôme Hugues and Xavier Renault.
11. Case Study Modeling Using AADL, Etienne Borde.
12. Model-Based Analysis, Thomas Robert and Jérôme Hugues.
13. Model-Based Code Generation, Laurent Pautet and Béchir Zalila.
About the Authors
Fabrice Kordon is Professor at University Pierre and Marie Curie in Paris, France, where he is in charge of the team “Modélisation et vérification” of the LIP6. His research field is at the crossroads of distributed systems, software engineering and formal methods.
Jérôme Hugues is lecturer-researcher at the Institut Supérieur de l’Aéronautique et de l’Espace (ISAE) in Toulouse, France and has been a member of the language standardization committee (AADL) since 2006. His research fields cover the engineering of embedded systems and the generation of automatic code of these systems from modeling languages, integrating verification and analysis tools on the model and code level.
Agusti Canals is a software engineer and has worked at CS “Communication et Systèmes” in Paris, France since 1981. He is deputy director of the “Direction de la Qualité et des Audits Techniques” (DQAT) of CS and an expert in software engineering (certified “UML Professional” and “SysML Builder” by OMG).
Alain Dohet is a general armament engineer at the “Direction Générale pour l’Armement” (organization of the French Defense Minister ensuring the conduct of system programs), where he is in charge of guiding activities, skills, methods and tools in the fields of systems of systems (SoS), systems engineering, analysis for certification purposes, operational safety of embedded computing systems and critical software.
The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualising objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods using examples from various fields, with related R code accessible in the FactoMineR package developed by the authors.
The book has been written using minimal mathematics so as to appeal to applied statisticians, as well as researchers from various disciplines, including medical research and the social sciences. Readers can use the theory, examples, and software presented in this book in order to be fully equipped to tackle real-life multivariate data.