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LabVIEW based Advanced Instrumentation Systems
Information is a valuable resource to an organization. User-friendly, computer-controlled instrumentation and data analysis techniques are revolutionizing the way measurements are being made, allowing nearly instantaneous comparison between theoretical predictions, simulations, and actual experimental results. This book provides comprehensive coverage of fundamentals of advanced instrumentation systems based on LabVIEW concepts. This book is for those who wish a better understanding of virtual instrumentation concepts, its purpose, its nature, and the applications developed using the National Instrument’s LabVIEW software.
La musica del Big Bang : Come la radiazione cosmica di fondo ci ha svelato i segreti dell’Universo = The music of the Big Bang : How the cosmic background radiation revealed the secrets of the Universe to us
Cosmic microwave background radiation is the residue of the great heat following the Big Bang. A tenuous sign, over 13 billion years old, in which the answers to many of the questions about the nature of our Universe are hidden. Discovered by chance in 1964, in the last forty years this fossil trace of the origins of the Cosmos has been explored with every available means. Two Nobel Prizes in physics have already been awarded for research involving it, the last in 2006 for the results of the COBE satellite. Much of the information encoded in the cosmic background radiation was impressed by the superimposition of acoustic waves present in the early Universe: a "music" of the Big Bang, which cosmologists have tried for years to reconstruct, using techniques similar to those that allow to distinguish the sound of different musical instruments. Only recently have the first notes of this extraordinary cosmic symphony finally been revealed, but the investigation is not over yet. This book illustrates, with a language suitable even for non-specialists, the theories, observations and discoveries that have brought cosmology into a new era.
La correspondance entre Henri Poincaré et les physiciens, chimistes et ingénieurs = The correspondence between Henri Poincaré and physicists, chemists and engineers
Cosmic microwave background radiation is the residue of the great heat following the Big Bang. A tenuous sign, over 13 billion years old, in which the answers to many of the questions about the nature of our Universe are hidden. Discovered by chance in 1964, in the last forty years this fossil trace of the origins of the Cosmos has been explored with every available means. Two Nobel Prizes in physics have already been awarded for research involving it, the last in 2006 for the results of the COBE satellite. Much of the information encoded in the cosmic background radiation was impressed by the superimposition of acoustic waves present in the early Universe: a "music" of the Big Bang, which cosmologists have tried for years to reconstruct, using techniques similar to those that allow to distinguish the sound of different musical instruments. Only recently have the first notes of this extraordinary cosmic symphony finally been revealed, but the investigation is not over yet. This book illustrates, with a language suitable even for non-specialists, the theories, observations and discoveries that have brought cosmology into a new era.
L’isomorphisme entre les tours de Lubin-Tate et de Drinfeld = The isomorphism between the Lubin-Tate and Drinfeld towers
This book contains a detailed and complete demonstration of the existence of an equivariate isomorphism between the Lubin-Tate and Drinfeld p-adic turns. The result is established in equal and unequal characteristics. There is also given as an application a proof that the equivariant cohomologies of these two turns are isomorphic, a result which has applications to the study of the local Langlands correspondence. During the proof, reminders and complements are given on the structure of the two preceding moduli spaces, the p-divisible formal groups and the p-adic rigid analytical geometry.
Kristian Birkeland : The First Space Scientist
PREFACEThisscientific biography of Kristian Birkeland (1867–1917) was written to bring the story ofa Norwegian national hero to the attention ofthe English-speaking world. Birkeland’sheroic stature was established not on a field of military battle,but in the bitter cold of the Artic wilderness ashe sought to answer basic questions abouthow the Sun controlled northern lights andmag-netic storms. He was also afather of Norsk Hydro one ofNorway’s largest industries. Birkel and died before reaching the age of 50.Because Birkel and never kept adiary, documented information about his family and private life is sparse. Before he died, Olaf Devik, the last of Birke-ffland’s close friends, gave along interview and graciously transferred his personal archive to A.E. Birkeland’s 82 scientific papers and three book-length publications map the progress of his investigations. addressed this book questions that had vexed European scientists for centuries. Why do the northern lights appear overhead when the Earth’s magnetic field is disturbed? How are magnetic storms connected to disturbances on the Sun? To answer these questions Birkeland interpreted his advance laboratory simulations and daring campaigns in the Arctic wilderness in the light of Maxwell’s newly discovered laws of electricity and magnetism. Birkeland’s ideas were dismissed for decades, only to be vindicated when satellites could fly above the Earth’s atmosphere.
Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, rule-based systems, fuzzy sets and many others. The use of various knowledge representation formalisms and knowledge processing and computing paradigms is oriented towards the efficient resolution of computationally complex and difficult problems.
Knowledge-Based Virtual Education : User-Centred Paradigms
The book covers a multitude of important issues on the subject of "Innovations in Knowledge-Based Virtual Education ", aiming at researchers and practitioners from academia, industry, and government. The carefully selected contributions report on research, development and real-world experiences of virtual education.
Knowledge Representation Techniques : A Rough Set Approach
The basis for the material in this book centers around a long term research project with autonomous unmanned aerial vehicle systems. One of the main research topics in the project is knowledge representation and reasoning. The focus of the research has been on the development of tractable combinations of approximate and nonmonotonic reasoning systems. The techniques developed are based on intuitions from rough set theory. Efforts have been made to take theory into practice by instantiating research results in the context of traditional relational database or deductive database systems.
Knowledge from a Human Point of View
Explores some of the historical roots and epistemological ramifications of perspectivism. Perspectivism has recently emerged in philosophy of science as an interesting new position in the debate between scientific realism and anti-realism.
Knowledge for Governance
Focuses on theoretical and empirical intersections between governance, knowledge and space from an interdisciplinary perspective. The contributions elucidate how knowledge is a prerequisite as well as a driver of governance efficacy, and conversely, how governance affects the creation and use of knowledge and innovation in geographical context.
Knowledge Discovery from Legal Databases
Describes data mining , techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit. Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.
Knowledge and Reality : Essays in Honor of Alvin Plantinga
Comprises essays presented to Alvin Plantinga on the occasion of his 70th birthday. Plantinga is one of the leading figures in Anglo-American metaphysics, epistemology and philosophy of religion; his work in these areas has been the focus of wide scholarly attention. This collection of essays, all of which were written specifically for this volume in honor of Plantinga’s 70th birthday, ranges broadly over topics in metaphysics and epistemology and includes contributions by some of the best philosophers writing today. The volume will be of particular interest to metaphysicians, epistemologists, philosophers of religion and theologians as it includes important recent work by some of the leading thinkers in these fields.
Knowledge and Networks
This book discusses a core question in many fields of the social sciences, namely how to create, share and adopt new knowledge. It creates an original space for conversation between two lines of research that have developed largely in parallel for a long time: social network theory and the geography of knowledge. This book considers that relational thinking has become increasingly important for scholars to capture societal outcomes by studying social relations and networks, whereas the role of place, space and spatial scales has been somewhat neglected outside an emergent geography of knowledge.
Knowledge and Critical Pedagogy : An Introduction
Knowledge and Critical Pedagogy: An Introduction takes scholars through a critical review of the issues facing researchers and educators in the last years of the first decade of the twenty-first century. Refusing to assume the reader’s familiarity with such issues but concurrently rebuffing the tendency to dumb down such complex issues, the book serves as an excellent introduction to one of the most important and complicated issues of our time.
Knowledge and Civil Society
Focuses on the role of civil society in the creation, dissemination, and interpretation of knowledge in geographical contexts. It offers original, interdisciplinary and counterintuitive perspectives on civil society. The book includes reflections on civil and uncivil society, the role of civil society as a change agent, and on civil society perspectives of undone science. Conceptual approaches go beyond the tripartite division of public, private and civic sectors to propose new frameworks of civic networks and philanthropic fields, which take an inclusive view of the connectivity of civic agency across sectors.
Knowledge and Action
Explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes.
Knowledge acquisition in practice: A step-by-step guide
Recent years have seen an upsurge of interest in knowledge. Leading organisations now recognise the importance of identifying what they know, sharing what they know and using what they know for maximum benefit. Many organisations employ knowledge engineers to capture knowledge from experts using the principles and techniques of knowledge engineering. The emphasis is on a structured approach built on a sound understanding of the psychology of expertise and making use of knowledge modelling methods and the latest web technologies. Knowledge Acquisition in Practice is the first book to provide a detailed step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its successful conclusion. Each step is described in terms of the reasons for the step, the required resources, the activities to be undertaken, and the solutions to common problems.
Knowing, Knowledge and Beliefs : Epistemological Studies across Diverse Cultures
Bringing together prominent educators and researchers, this book focuses on conceptual and methodical issues and state-of-the-art theoretical understanding on epistemological beliefs from educational and psychological perspectives. It is a critical and specialized source that describes recent advances in conceptualization and epistemological studies across diverse cultures.
Knowing Art : Essays in Aesthetics and Epistemology
Knowing Art collects ten original essays written by leading philosophers who distill and build upon recent work at the intersection of aesthetics and epistemology. Specific topics addressed include the objectivity of critical knowledge, the quality of critical testimony, the roles of principles and perception in critical reasoning, phenomenal knowledge of what a work of art is like, the acquisition of factual information and psychological understanding from fictions, and the limits of images as sources of historical evidence. In addressing these topics, the volume also explores the challenges that art poses for theories of knowledge as well as the challenges that artistic knowledge poses to traditional views about art.
Iterative Learning Control : Robustness and Monotonic Convergence for Interval Systems
This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. Two key problems with the fundamentals of iterative learning control (ILC) design as treated by existing work are: first, many ILC design strategies assume nominal knowledge of the system to be controlled and; second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergence is often essential. Iterative Learning Control takes account of the recently-developed comprehensive approach to robust ILC analysis and design established to handle the situation where the plant model is uncertain. Considering ILC in the iteration domain, it presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty.
