Whole-Angle MEMS Gyroscopes

This book presents results of projects carried out by both scientific and industry researchers into the techniques to help in maintenance, control, supervision and security of systems, taking into account the technical environmental and human factors. This work is supported by the Scientific Group GIS 3SGS. It is a collaborative work from 13 partners (academic and industrial) who have come together to deal with security problems. The problems and techniques discussed mainly focus on stochastic and dynamic modeling, maintenance, forecasting, diagnosis, reliability, performance, organizational, human and environmental factors, uncertainty and experience feedback. Part 1. Industrial Issues 1. Safety and Performance of Electricity Production Facilities, Gilles Deleuze, Jean Primet, Philippe Klein, Carole Duval and Antoine Despujols. 2. Monitoring of Radioactive Waste Disposal Cells in Deep Geological Formation, St?phane Buschaert and Sylvie Lesoille. 3. Towards Fourth-generation Nuclear Reactors, Jean-Philippe Nabot, Olivier Gastaldi, Fran?ois Baqu?, K?vin Paumel and Jean-Philippe Jeannot. Part 2. Supervison and Modeling of Complex Systems 4. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization, Maan El Badaoui El Najiar, Cherif Smaili, Fran?ois Charpillet, Denis Pomorski and Mireille Bayart. 5. Damage and Forecast Modeling, Anne Barros, Eric Levrat, Mitra Fouladirad, Khanh Le Son, Thomas Ruin, Beno?t Iung, Alexandre Voisin, Maxime Monnin, Antoine Despujols, Emmanuel R?my and Ludovic B?n?trix. 6. Diagnosis of Systems with Multiple Operating Modes, Taha Boukhobza, Fr?d?ric Hamelin, Beno?t Marx, Gilles Mourot, Anca Maria Nagy, Jos? Ragot, Djemal Eddine Chouaib Belkhiat, Kevin Guelton, Dalel Jabri, Noureddine Manamanni, Sinuh? Martinez, Nadhir Messai, Vincent Cocquempot, Assia Hakem, Komi Midzodzi Pekpe, Talel Zouari, Michael Defoort, Mohammed Djemai and J?r?my Van Gorp. 7. Multitask Learning for the Diagnosis of Machine Fleet, Xiyan He, Gilles Mourot, Didier Maquin, Jos? Ragot, Pierre Beauseroy, Andr? Smolarz and Edith Grall-Ma?s. 8. The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems, Jean-Fran?ois Aubry, Genia Babykina, Nicolae Brinzei, Slimane Medjaher, Anne Barros, Christophe Berenguer, Antoine Grall, Yves Langeron, Danh Ngoc Nguyen, Gilles Deleuze, Beno?te De Saporta, Fran?ois Dufour and Huilong Zhang. Part 3. Characterizing Background Noise, Identifying Characteristic Signatures in Test Cases and Detecting Noise Reactors 9. Aims, Context and Type of Signals Studied, Fran?ois Baqu?, Olivier Descombin, Olivier Gastaldi and Yves Vandenboomgaerde. 10. Detection/Classification of Argon and Water Injections into Sodium into an SG of a Fast Neutron Reactor, Pierre Beauseroy, Edith Grall-Ma?s and Igor Nikiforov. 11. A Dynamic Learning-based Approach to the Surveillance and Monitoring of Steam Generators in Prototype Fast Reactors, Laurent Hartert, Moamar Sayed-Mouchaweh and Danielle Nuzillard. 12. SVM Time-Frequency Classification for the Detection of Injection States, Simon Henrot, El-Hadi Djermoune and David Brie. 13. Time and Frequency Domain Approaches for the Characterization of Injection States, Jean-Philippe Cassar and Komi Midzodzi Pekpe. Part 4. Human, Organizational and Environmental Factors in Risk Analysis 14. Risk Analysis and Management in Systems Integrating Technical, Human, Organizational and Environmental Aspects, Geoffrey Fallet-Fidry, Carole Duval, Christophe Simon, Eric Levrat, Philippe Weber and Beno?t Iung. 15. Integrating Human and Organizational Factors into the BCD Risk Analysis Model: An Influence Diagram-based approach, Karima Sedki,

Take an in-depth look at the difficulty in gaining traction at the institutional level in improving student retention and degree completion rates—especially at larger four year institutions where size, complexity, and multiplicity of structures and processes present particular challenges. This volume offers a way for institutional leaders to better focus their time, energy, and resources in their retention effort by framing the way they think about it using the 4 Ps of retention strategy: profile, progress, process, and promise. This simple framework challenges long-standing, traditional assumptions about student retention that can distract and dilute institutional efforts, and helps keep those efforts sharply and singularly focused on improving retention and degree completion outcomes. This is the 161st volume of this Jossey-Bass series. Addressed to higher education decision makers on all kinds of campuses, New Directions for Higher Education provides timely information and authoritative advice about major issues and administrative problems confronting every institution.

The book provides a complete overview of the SIMATIC automation system and the TIA Portal with the engineering tool STEP 7. «Automating with SIMATIC» addresses all those who – want to get an overview of the components of the system and their features, – wish to familiarize themselves with the topic of programmable logic controllers, or – intend to acquire basic knowledge about configuration, programming and interaction of the SIMATIC components. At first, the book introduces the hardware of SIMATIC S7-1200, S7-300, S7-400 and S7-1500, including the ET 200 peripheral modules. This is followed by describing the work with STEP 7 in the programming languages LAD, FBD, STL, SCL and S7-Graph, and offline testing with S7-PLCSIM. The next section describes the structure of the user program, which is followed by the illustration of the data communication between the controllers of the automation system as well as with the peripheral devices by use of the bus systems Profinet and Profibus. The book closes with a survey of the devices for operator control and process monitoring and their configuration software.

This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Understanding Statistical Error – A Primer for Biologists: Introduces the essential topic of error analysis to biologists Contains mathematics at a level that all biologists can grasp Presents the formulas required to calculate each confidence interval for use in practice Is based on a successful series of lectures from the author’s established course Assuming no prior knowledge of statistics, this book covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence. This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty. Understanding Statistical Error – A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.

Dedicated to the innovative design and use of ceramic materials for energy applications, this issue brings readers up to date with some of the most important research discoveries and new and emerging applications in the field. Contributions come from the proceedings of three symposia, as well as the European Union–USA Engineering Ceramics Summit. The three symposia are: Ceramics for Electric Energy Generation, Storage, and Distribution; Advanced Ceramics and Composites for Nuclear and Fusion Applications; and Advanced Materials and Technologies for Rechargeable Batteries. An abundance of charts, tables, and illustrations are included throughout.