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Statistical Topics and Stochastic Models for Dependent Data with Applications
This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.
Artificial Intelligence and Big Data
With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
Training Engineers for Innovation
Throughout history, engineers have been defined as those who bring technological innovation to society. However, the concept of innovation and the role of the engineer are now changing as a result of globalization, the digital revolution, growing inequalities and environmental concerns. Training Engineers for Innovation therefore analyzes the ways in which the educational systems for engineers are adapting to these new demands, as well as the conditions in which this training has developed. This book brings together the works of a consortium of researchers dedicated to the subject area as part of the Innov’Ing 2020 project. Its contributors present various means to devise effective pedagogies adapted to a holistic approach to innovation which incorporates the technical, economic, social, ethical and environmental dimensions of engineering.
Science, Technology and Innovation Culture
We are facing unprecedented challenges today. For many of us, innovation would be our last hope. But how can it be done? Is it enough to bet on the scientific culture? How can technical culture contribute to innovation? How is technical culture situated with regards to what we name collectively the culture of innovation? It is these questions that this book intends to address.
Mechanical Engineering Education
Mechanical Engineering is defined nowadays as a discipline “which involves the application of principles of physics, design, manufacturing and maintenance of mechanical systems”. Recently, mechanical engineering has also focused on some cutting-edge subjects such as nanomechanics and nanotechnology, mechatronics and robotics, computational mechanics, biomechanics, alternative energies, as well as aspects related to sustainable mechanical engineering. This book covers mechanical engineering higher education with a particular emphasis on quality assurance and the improvement of academic institutions, mechatronics education and the transfer of knowledge between university and industry.
Handbook of Food Science and Technology 3
This third volume in the Handbook of Food Science and Technology Set explains the processing of raw materials into traditional food (bread, wine, cheese, etc.). The agri-food industry has evolved in order to meet new market expectations of its products; with the use of separation and assembly technologies, food technologists and engineers now increasingly understand and control the preparation of a large diversity of ingredients using additional properties to move from the raw materials into new food products. Taking into account the fundamental basis and technological specificities of the main food sectors, throughout the three parts of this book, the authors investigate the biological and biochemical conversions and physicochemical treatment of food from animal sources, plant sources and food ingredients.
Disruptive Technology and Defence Innovation Ecosystems
Recent advances in the disciplines of computer science (e.g., quantum theory, artificial intelligence), biotechnology and nanotechnology have deeply modified the structures of knowledge from which military capabilities are likely to develop. This book discusses the implications of disruptive technologies for the defence innovation ecosystem. Two complementary dimensions of the defence innovation ecosystem are highlighted: the industrial and intra-organizational. On the industrial scale, there is a shift in the ecology of knowledge underpinning the defence industrial and technological base (DITB). At the intra-organizational level, it is the actors’ practices that change and, through them, their skills and the processes by which they are acquired and transferred. In this context, the sources and legitimacy of innovation are being transformed, in turn requiring sometimes radical adaptations on the part of the various actors, including companies, military services, research communities and governmental agencies, which make up the defence innovation ecosystem.
Liquid Crystals
This book on liquid crystals reports on the new perspectives that have been brought about by the recent expansion of frontiers and overhaul of common beliefs. First, it explores the interaction of light with mesophases, when the light or matter is endowed with topological defects. It goes on to show how electrophoresis, electro-osmosis and the swimming of flagellated bacteria are affected by the anisotropic properties of liquid crystals. It also reports on the recent progress in the understanding of thermomechanical and thermohydrodynamical effects in cholesterics and deformed nematics and refutes the common belief that these effects could explain Lehmann’s observations of the rotation of cholesteric droplets subjected to a temperature gradient. It then studies the physics of the dowser texture, which has remarkable properties. This is of particular interest in regards to nematic monopoles, which can easily be generated, set into motion and collided within it. Finally, this book deals with the spontaneous emergence of chirality in nematics made of achiral molecules, and provides a brief historical context of chirality
Advances in Data Science
Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.
Multimodal Transport Systems
The use and management of multimodal transport systems, including car-pooling and goods transportation, have become extremely complex, due to their large size (sometimes several thousand variables), the nature of their dynamic relationships as well as the many constraints to which they are subjected. The managers of these systems must ensure that the system works as efficiently as possible by managing the various causes of malfunction of the transport system (vehicle breakdowns, road obstructions, accidents, etc.). The detection and resolution of conflicts, which are particularly complex and must be dealt with in real time, are currently processed manually by operators. However, the experien...
