الصفحة 6
الصفحة 6
Modelling Critical and Catastrophic Phenomena in Geoscience : A Statistical Physics Approach
This book presents a broad survey of models for critical and catastrophic phenomena in the geosciences, with strong emphasis on earthquakes. It assumes the perspective of statistical physics, which provides the theoretical frame for dealing with complex systems in general. This volume addresses graduate students wishing to specialize in the field and researchers working or interested in the field having a background in the physics, geosciences or applied mathematics.
Modelling and Applications in Mathematics Education : The 14th ICMI Study
The contributing authors are eminent members of the mathematics education community. Modelling and Applications in Mathematics Education will be of special interest to mathematics educators, teacher educators, researchers, education administrators, curriculum developers and student teachers.
Modelli Matematici in Biologia = Mathematical Models in Biology
This text is addressed first of all to the students of the Specialist Degrees in Biology of the Universities, but it will also be of interest to students of Natural Sciences and Medicine. The topics covered include the most classic mathematical models of biological phenomena (population dynamics, spread of infectious diseases, simple physiology models), but a relevant part of the text is dedicated to the mathematical approach to the theory of natural evolution. The only prerequisites required of the reader are those provided by the basic courses of Mathematics of the Bachelor's Degree in Biology, Natural Sciences or Medicine.
Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum.
Modeling Theory in Science Education
The book focuses as much on course content as on instruction and learning methodology, and presents practical aspects that have repeatedly demonstrated their value in fostering meaningful and equitable learning of physics and other science courses at the secondary school and college levels.The author shows how a scientific theory that is the object of a given science course can be organized around a limited set of basic models. Special tools are introduced, including modeling schemata, for students to meaningfully construct models and required conceptions, and for teachers to efficiently plan instruction and assess and regulate student learning and teaching practice. A scientific model is conceived to represent a particular pattern in the structure or behavior of physical realities and to explore and reify the pattern in specific ways. The author further shows how to engage students in modeling activities through structured learning cycles.
Modeling Performance Measurement : Applications and Implementation Issues in DEA
MODELING PERFORMANCE MEASUREMENT: Applications and Implementation Issues in DEA presents unified results from authors’ recent DEA research. These new DEA methodology and techniques are developed in application-driven scenarios that go beyond the identification of the best-practice frontier and seek solutions to aid managerial decisions. These new DEA developments are well-grounded in real world applications. Both DEA researchers and practitioners will find this book helpful. Theory is provided for DEA researchers for further development and possible extensions. However, it should also be mentioned that each theory is presented in practical terms with numerical examples, simple real management cases and verbal descriptions. It is felt that these concrete examples will be of value to researchers, students, and practitioners , This book also provides an easy-to-use DEA software — DEAFrontier (www.deafrontier.com). This DEA software is an Add-In for Microsoft Excel and provides a custom menu of DEA approaches The DEAFrontier does not set limit on the number of units, inputs or outputs.
Modeling Chemical Systems using Cellular Automata
The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, and as a supplement for laboratory courses in introductory chemistry, organic chemistry, physical chemistry, medicinal chemistry, chemical engineering and other courses dealing with statistical and dynamic systems. It allows the exploration of a wide range of dynamic phenomena, many of which are not normally accessible within conventional laboratory settings due to limitations of time, cost, and experimental equipment. The book is both a textbook on applied Cellular Automata and a lab manual for chemistry (physics, engineering) courses with lab activity. It would supplement other lab work and be an additonal book the students would use in the course.
Modeling biological systems : Principles and applications
This extensively revised second edition of Modeling Biological Systems: Principles and Applications describes the essentials of creating and analyzing mathematical and computer simulation models for advanced undergraduates and graduate students. It offers a comprehensive understanding of the underlying principle, as well as details and equations applicable to a wide variety of biological systems and disciplines. Students will acquire from this text the tools necessary to produce their own models. The text contains two major sections: Principles and Applications. The first section discusses the principles of biological systems with a thorough description of the essential modeling activities of formulation, implementation, validation, and analysis. These activities are illustrated by a set of example models taken from recent and classical literature, chosen for their breadth of coverage and current timeliness. The new edition updates extensively many of these topics, especially quantitative model formulation, validation and model discrimination using information theory measures and Bayesian probability, and stability analysis and non-dimensionalization.
Modeling and simulation of complex communication networks
Covers important topics and approaches related to the modeling and simulation of complex communication networks from a complex adaptive systems perspective. The authors present different modeling paradigms and approaches as well as surveys and case studies. Modern network systems such as Internet of Things, Smart Grid, VoIP traffic, Peer-to-Peer protocol, and social networks, are inherently complex. They require powerful and realistic models and tools not only for analysis and simulation but also for prediction. With contributions from an international panel of experts, this book is essential reading for networking, computing, and communications professionals, researchers and engineers in the field of next generation networks and complex information and communication systems, and academics and advanced students working in these fields.
Modeling and Management of Fuzzy Semantic RDF Data
Presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
Modeling and Control of Discrete-event Dynamic Systems : with Petri Nets and Other Tools
Discrete-event dynamic systems (DEDs) permeate our world, being of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking. Modeling and Control of Discrete-event Dynamic Systems begins with the mathematical basics required for the study of DEDs and moves on to present various tools used in their modeling and control. Among the instruments explained are many forms of Petri net, Grafcet (the sequential function chart), state charts, formal languages and max-plus algebra; all essential for control students to become proficient with DEDs and to make use of them in practical applications.
Modèles aléatoires : Applications aux sciences de l'ingénieur et du vivant = Random models : Applications to engineering and life sciences
The aim is to show how random models are used to analyse and solve a great variety of engineering issues. It is written in language accessible to practitioners and students in engineering, the physical sciences, the life sciences or management.
Model-Driven Software Development
Abstraction is the most basic principle of software engineering. Abstractions are provided by models. Modeling and model transformation constitute the core of model-driven development. Models can be refined and finally be transformed into a technical implementation, i.e., a software system. The aim of this book is to give an overview of the state of the art in model-driven software development. Achievements are considered from a conceptual point of view in the first part, while the second part describes technical advances and infrastructures. Finally, the third part summarizes experiences gained in actual projects employing model-driven development. Beydeda, Book and Gruhn put together the results from leading researchers in this area, both from industry and academia. The result is a collection of papers which gives both researchers and graduate students a comprehensive overview of current research issues and industrial forefront practice, as promoted by OMG’s MDA initiative.
Model-based Fault Diagnosis Techniques : Design Schemes, Algorithms, and Tools
The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.
Model Based Learning and Instruction in Science
This book describes new, model based teaching methods for science instruction. It presents research that describes these new methods in a very diverse group of settings: middle school biology, high school physics, and college chemistry classrooms. Mental models in these areas such as understanding the structure of the lungs or cells, molecular structures and reaction mechanisms in chemistry, or causes of current flow in electricity are notoriously difficult for many students to learn. Yet these lie at the core of conceptual understanding in these areas. The studies focus on a variety of teaching strategies such as discrepant questioning, analogies, animations, model competition, and hands on activities.
Mobile World : Past, Present and Future
Key reading for all those involved with the future of mobile communications, this book is a valuable resource, particularly for advanced undergraduate and postgraduate students on Mobile Technology courses, practitioners, and researchers working in mobile communications, CSCW and HCI. This volume is a sequel to Brown et al: Wireless World: Social and Interactional Aspects of the Mobile Age, also in the CSCW series. "This book presents a rich insight into how and why the mobile has become so important in today’s society. It explores the strong emotional attachment that people have to these devices, and argues that it is people and not the technology that developers must put at the heart of future mobile offerings. A valuable book for industry and academics alike."
Mobile Phone Programming and its Application to Wireless Networking
This book provides a solid overview of mobile phone programming targeting both academia and industry. Mobile Phone Programming covers all commercial realizations of Symbian, Windows Mobile and Linux platforms. Each programming language (JAVA, Python, C/C++) and a set of development environments are introduced “step by step” making developers familiar with current limitations, pitfalls, and challenges. Each chapter contains examples and source code to rapidly make developers familiar with the most important concepts. Examples cover peer to peer networks, cooperative networking, cross layer protocol design, key challenges such as power consumption, and sensor networks for which a full hardware and software implementation is provided. Whether you are an experienced developer or an advanced student Mobile Phone Programming will be your key reference for successfully entering the world of software development for mobile devices.
Migration to and from Welfare States : Lived Experiences of the Welfare–Migration Nexus in a Globalised World
This book explores the role of family, public, market and third sector welfare provision for individual and households’ decisions regarding geographical mobility. It challenges the state-centred approach in research on welfare and migration by emphasising migrants’ own reflections and experiences.
Migration and Pandemics : Spaces of Solidarity and Spaces of Exception
This book discusses the socio-political context of the COVID-19 crisis and questions the management of the pandemic emergency with special reference to how this affected the governance of migration and asylum. The book offers critical insights on the impact of the pandemic on migrant workers in different world regions including North America, Europe and Asia.
Micromechanical Photonics
The purpose of this book is to give the engineering student and the practical engineer a systematic introduction to optical MEMS (Micro electro mechanical systems) and micromechanical photonics through not only theoretical and experimental results, but also by describing various products and their fields of application. After an overview on optical MEMS and micromechanical photonics, the book describes extremely-short-external-cavity laser diodes tunable laser diodes, a resonant sensor and an integrated optical head. It then addresses optical tweezers, the new technology employed to manipulate various types of objects in a variety of research and industrial fields. Coverage progresses through topics on the design and fabrication of an optical rotor and evaluation of mixing performances of micro-liquids for future fluidic applications. In the final chapter, the fundamentals and applications of the near field are described for the future development of micromechanical photonics, as well as near-field features, theoretical analyses, experimental analyses and applications mainly related to optical recording.
