الصفحة 5
الصفحة 5
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Autonomous Navigation in Dynamic Environments

The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions.Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.

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Automotive Control Systems : For Engine, Driveline, and Vehicle

Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this book enables control engineers to understand engine and vehicle models necessary for controller design and also introduces mechanical engineers to vehicle-specific signal processing and automatic control. The emphasis on measurement, comparisons between performance and modelling, and realistic examples derive from the authors’ industrial experience at Bosch and interactions within IFAC and SAE. The second edition offers new or expanded topics such as diesel-engine modelling, diagnosis and anti-jerking control, and vehicle modelling and parameter estimation. The book addresses professional engineers as well as students.

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Auralization : Fundamentals of acoustics, modelling, simulation, algorithms and acoustic virtual reality

"Auralization" is the technique of creation and reproduction of sound on the basis of computer data. With this tool is it possible to predict the character of sound signals which are generated at the source and modified by reinforcement, propagation and transmission in systems such as rooms, buildings, vehicles or other technical devices. This book is organized as a comprehensive collection of the basics of sound and vibration, acoustic modelling, simulation, signal processing and audio reproduction. Implementations of the auralization technique are described using examples drawn from various fields in acoustic’s research and engineering, architecture, sound design and virtual reality.

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Atmospheric Icing of Power Networks

Atmospheric ice takes a wide range of fascinating forms, all beautiful in their own ways but many posing severe risk to the security of overhead networks for electric power, communications and other systems. This book documents the fundamentals of atmospheric icing and surveys the state of the art in eight chapters, each written by a team of experienced and internationally renowned experts.

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Atmospheric Boundary Layers : Nature, Theory, and Application to Environmental Modelling and Security

This collection of peer reviewed papers represents a concise, up-to-date summary of our current knowledge of planetary boundary layer (PBL) physics and parameterization. As such, it makes a major contribution to the interchange of knowledge and ideas between physicists, meteorologists and environmental modellers and sets out the course to be followed in subsequent research to improve PBL parameterizations in climate, numerical weather prediction, air quality, and emergency preparedness models. Major themes covered are: Nature and theory of turbulent boundary layers, Boundary layer flows - modelling and applications to environmental security, Nature, theory and modelling of boundary-layer flows, and Air flows within and above urban and other complex canopies - air-sea-ice interactions.

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Astrophysical disks : Collective and stochastic phenomena

The book deals with collective and stochastic processes in astrophysical discs involving theory, observations, and the results of modelling. Among others, it examines the spiral-vortex structure in galactic and accretion disks , stochastic and ordered structures in the developed turbulence. It also describes sources of turbulence in the accretion disks, internal structure of disk in the vicinity of a black hole, numerical modelling of Be envelopes in binaries, gaseous disks in spiral galaxies with shock waves formation, observation of accretion disks in a binary system and mass distribution of luminous matter in disk galaxies.

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Assessment of climate change for the Baltic Sea Basin

Offers an up-to-date overview of the latest scientific findings in regional climate research on the Baltic Sea basin. This includes climate changes in the recent past, climate projections up until 2100 using the most sophisticated regional climate models available, and an assessment of climate change impacts on terrestrial, freshwater and marine ecosystems.

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Aspects of mathematical modelling : Applications in science, medicine, economics and management

The construction of mathematical models is an essential scientific activity. Mathematics has long been associated with developments in the exact sciences and engineering, but more recently mathematical modelling has been used to investigate complex systems that arise in many other fields. The contributors to this book demonstrate the application of mathematics to modern research topics in ecology and environmental science, health and medicine, phylogenetics and neural networks, theoretical chemistry, economics and management. The reader will find some review papers outlining current research directions in hot topics such as pattern formation and applications to medicine, and more targeted research papers on current developments in the various disciplines included.

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Artificial neural networks in Vehicular Pollution Modelling

Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas. The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control.

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Artificial neural networks for the Modelling and Fault Diagnosis of Technical Processes

In this book, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

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Applied scanning probe methodsVII : Biomimetics and industrial applications

The present volumes cover three main areas: novel probes and techniques (Vol. V), charactarization (Vol. VI), and biomimetics and industrial applications (Vol. VII). Volume V includes an overview of probe and sensor technologies including integrated cantilever concepts, electrostatic microscanners, low-noise methods and improved dynamic force microscopy techniques, high-resonance dynamic force - croscopy and the torsional resonance method, modelling of tip cantilever systems, scanning probe methods, approaches for elasticity and adhesion measurements on the nanometer scale as well as optical applications of scanning probe techniques based on near?eld Raman spectroscopy and imaging.

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Applied Quantitative Finance

Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics and methods. It provides solutions to and presents theoretical developments in many practical problems such as risk management, pricing of credit derivatives, quantification of volatility and copula modelling. The synthesis of theory and practice supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on practical implementation and theoretical concepts. This linkage between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners comfortable access to new techniques in quantitative finance.

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Applied Partial Differential Equations : A Visual Approach

This book presents selected topics in science and engineering from an applied-mathematics point of view. The described natural, socioeconomic, and engineering phenomena are modeled by partial differential equations that relate state variables.

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Analyzing uncertainty in civil engineering

This volume addresses the issue of uncertainty in civil engineering from design to construction. Failures do occur in practice. Attributing them to a residual system risk or a faulty execution of the project does not properly cover the range of causes. A closer scrutiny of the adopted design, the engineering model, the data, the soil-construction-interaction and the model assumptions is required. Usually, the uncertainties in initial and boundary conditions are abundant. Current engineering practice often leaves these issues aside, despite the fact that new scientific tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to have a critical look at current engineering risk concepts in order to raise awareness of uncertainty in numerical computations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure mechanisms and their implications for construction management, execution, and the juristic question of responsibility. In addition, a number of the new procedures for modelling uncertainty are explained.

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Air, Water and Soil Quality Modelling for Risk and Impact Assessment

This book is the result of the Proceedings of the NATO Advanced Research Workshop on Air, Water and Soil Quality Modelling for Risk and Impact Assessment,The aim of the NATO Advanced Research Workshop on was to further joint environmental compartment modelling and applications of control theory to environmental management. The articles of the proceedings provide an overview of ongoing research in this field regarding assessment of environmental risks and impacts. Besides selected issues of practical application they address questions of forward and inverse modelling, integrated treatment of environmental changes and economic impacts as well as aspects of future development of numerical environmental modelling.

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Air quality integrated assessment : A European perspective

This book reports on the results of an extended survey conducted across Europe within the framework of the APPRAISAL FP7 project to determine the extent to which an integrated assessment approach to air quality is being adopted, on the one hand, by regional and local authorities to develop air quality plans and, on the other, by researchers. Following a detailed analysis of the role and structure of the components of an integrated assessment study, the results of the survey are considered from a variety of perspectives.

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Air Pollution Modeling and Its Application XIX

The book is aimed at researchers and government policy makers who wish to keep abreast of the most recent developments in air pollution modelling and air quality issues. The book emphasizes the following key topics: 1. Local and urban scale modelling; 2. Regional and intercontinental modelling; 3. Data assimilation and air quality forecast; 4. Model assessment and verification; 5. Aerosols in the atmosphere; 6. Interactions between air quality and climate change; 7. Air quality and human health.

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Affect and Mathematics Education : Fresh Perspectives on Motivation, Engagement, and Identity

Presents the latest trends in research in the area. Following an introduction and a survey chapter providing a concise overview of the state-of-art in the field of mathematics-related affect, the book is divided into three main sections: motivation and values, engagement, and identity in mathematics education. Each section comprises several independent chapters based on original research, as well as a reflective commentary by an expert in the area. Collectively, the chapters present a rich methodological spectrum, from narrative analysis to structural equation modelling.

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Advancing Energy Policy : Lessons on the integration of Social Sciences and Humanities

Advocates for the Social Sciences and Humanities to be more involved in energy policymaking. It forms part of the European platform for energy-related Social Sciences and Humanities’ activities, and works on the premise that crossing disciplines is essential. All of its contributions are highly interdisciplinary, with each chapter grounded in at least three different Social Sciences and Humanities disciplines. These varying perspectives come together to cover an array of issues relevant to the energy transition, including: energy poverty, justice, political ecology, governance, behaviours, imaginaries, systems approaches, modelling, as well as the particular challenges faced by interdisciplinary work. As a whole, the book presents new ideas for future energy policy, particularly at the European level. It is a valuable resource for energy researchers interested in interdisciplinary and society-relevant perspectives. Those working outside the Social Sciences and Humanities will find this book an accessible way of learning more about how these subjects can constructively contribute to energy policy.

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Advances in Probabilistic Graphical Models

This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.

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