Computer modelling and simulation Books
CRC Press Advanced Machining Processes
Book SynopsisModeling and machining are two terms closely related. The benefits of the application of modeling on machining are well known. The advances in technology call for the use of more sophisticated machining methods for the production of high-end components. In turn, more complex, more suitable, and reliable modeling methods are required. This book pertains to machining and modeling, but focuses on the special aspects of both. Many researchers in academia and industry, who are looking for ways to refine their work, make it more detailed, increase their accuracy and reliability, or implement new features, will gain access to knowledge in this book that is very scare to find elsewhere.Table of ContentsParticle Finite Element Modeling and Simulation of Machining Processes. SPH for Modelling Metal Cutting. Failure analysis of CFRP multi-layer composites during machining process. Numerical modelling of sinker EDM processes. Modelling of Interaction between Precision Machining Process and Machine Tools. Large-Scale Molecular Dynamics Simulations of Nanomachining. Multi-objective optimization of support vector regression parameters by teaching learning based optimization for modeling of EDM responses. Modeling of Grind-Hardening. Finite Element Modeling of Mechanical Micromachining. Modelling of materials behavior in finite element analysis and simulation of machining processes: Identification techniques and challenges.
£109.25
Taylor & Francis Ltd Airport Building Information Modelling
Book SynopsisThis book details how Building Information Modelling is being successfully deployed in the planning, design, construction and future operation of the Istanbul New Airport, a mega-scale construction project incorporating a varying mix of infrastructures including terminals, runways, passenger gates, car parks, railways and roads. The book demonstrates how Airport Building Information Modelling (ABIM) is being used to: facilitate collaboration, cooperation and integrated project delivery manage subcontractors and eliminate cost over-runs reduce waste on site and enhance overall quality connect people in a virtual environment to encourage collaborative working provide clients with an effective interface for lifecycle management including: design development, construction documentation, construction phases and BIM and Big Data Integration for future facilities managementThe book presents a best practice BIM project, demonstrating concurrent eTable of Contents1INTRODUCTION2AIRPORT DESIGN AND CONSTRUCTION3AIRPORT BUILDING INFORMATION MODELLING4CONCURRENT DESIGN AND CONSTRUCTION WITH BIM5MOBILE BIM FOR THE AIRPORT CONSTRUCTION6KEY LEARNINGS ABOUT ABIM AND PAVING THE WAY FOR THE AIRPORT OPERATIONS 7CONCLUSION
£113.17
Taylor & Francis Ltd AgentBased Modeling of Environmental Conflict and
Book SynopsisConflict is a major facet of many environmental challenges of our time. However, growing conflict complexity makes it more difficult to identify win-win strategies for sustainable conflict resolution. Innovative methods are needed to help predict, understand, and resolve conflicts in cooperative ways.Agent-Based Modeling of Environmental Conflict and Cooperation examines computer modeling techniques as an important set of tools for assessing environmental and resource-based conflicts and, ultimately, for finding pathways to conflict resolution and cooperation. This book has two major goals. First, it argues that complexity science can be a unifying framework for professions engaged in conflict studies and resolution, including anthropology, law, management, peace studies, urban planning, and geography. Second, this book presents an innovative framework for approaching conflicts as complex adaptive systems by using many forms of environmental analysis, including Table of ContentsPart I: Conflict and the Promise of Conflict Modeling 1. Environmental Conflicts in a Complex World 2. Why Model? How Can Modeling Help Resolve Conflict? 3. The History and Types of Conflict Modeling 4. Participatory Modeling and Conflict Resolution Part II: Modeling Environmental Conflict 5. System Dynamics and Conflict Modeling 6. Agent-Based Modeling and Environmental Conflict 7. Modeling Conflict and Cooperation as Agent Action and Interaction Part III: Applications of the VIABLE Model Framework 8. A Viability Approach to Understanding Fishery Conflict and Cooperation 9. An Adaptive Dynamic Model of Emissions Trading 10. Modeling Bioenergy and Land Use Conflict 11. The Future of Modeling Environmental Conflict and Cooperation
£128.25
Taylor & Francis Inc Modeling and Simulation of Everyday Things
Book SynopsisHow can computer modeling and simulation tools be used to understand and analyze common situations and everyday problems? Readers will find here an easy-to-follow, enjoyable introduction for anyone even with little background training. Examples are incorporated throughout to stimulate interest and engage the reader. Build the necessary skillsets with operating systems, editing, languages, commands, and visualization.Obtain hands-on examples from sports, accidents, and disease to problems of heat transfer, fluid flow, waves, and groundwater flow. Includes discussion of parallel computing and graphics processing units.This introductory, practical guide is suitable for students at any level up to professionals looking to use modeling and simulation to help solve basic to more advanced problems.Michael W. Roth, PhD, serves as Dean of the School of STEM and Business at Hawkeye Community College in Waterloo, Iowa. He was most recently ChairTrade Review"Mike Roth refers in his book to the dispersed pieces of information that everyone gains via internet in everyday life and completes them with professional knowledge on computer modeling, providing an introduction to the techniques of computer simulations, showing their usefulness as well as their limits. His lively narrative style makes his book accessible for everyone interested in science." — Prof Lucyna Firlej, Laboratoire Charles Coulomb, Montpellier, France"a playful and exciting introduction to a complex subject of continuous and discrete-event modeling and simulation. With a multitude of real-word examples and hands-on experiences, the book is very accessible to students." —Prof. Masha Sosonkina, Old Dominion UniversityTable of ContentsPrefaceAuthorSection I Getting Your Feet on the Ground1. Building Your Basic Tool Box2. Getting to Know the Neighborhood3. Visualizing Your Work and Representing Your Best StorySection II Models of Everyday Things4. Things We See in the News: The Fun and the Dangerous 5. The Many Faces of Music6. Going with the FlowSection III Beyond Everyday Phenomena7. One of the Most Versatile Simulation Tools Around8. Simulations that Explore Atoms and Planets Section IV A Glimpse into More Advanced Computing9. Parallel Computing, Scripting and GPU’sAppendix A: Integrated C++ / Python Simulation of Guitar SoundsIndex
£65.54
Springer New York Computational Ocean Acoustics Modern Acoustics
Book SynopsisComputational Ocean Acoustics presents state-of-the-art numerical techniques to solve the wave equation in heterogeneous fluid-solid media. Thoroughly revised, this volume completely updates the material in the first edition and includes new models based on current research.Trade ReviewFrom the reviews of the second edition: "Book concisely sums up the progress made in computational ocean acoustics over the last thirty years, emphasizing the latest modern numerical techniques for solving the wave equation in heterogeneous fluid-solid media. The authors discuss in detail various computational schemes, highlighting the importance of theoretical foundations that lead directly to numerical implementations for real ocean environments. The book provides various numerical methods and theoretical foundations for solving wave equations in 2D and even 3D varying environments that the reader may find useful as a reference tool." (Qian Zuwen, Zentralblatt MATH, Vol. 1234, 2012)Table of ContentsSeries Preface.- Preface to the Second Edition.- Preface to the First Edition.- Fundamentals of Ocean Acoustics.- Wave Propagation Theory.- Ray Methods.- Wavenumber Integration Techniques.- Normal Modes.- Parabolic Equations.- Finite Differences and Finite Elements.- Broadband Modeling.- Ambient Noise.- Signals in Noise.- Name Index.- Subject Index.
£98.99
Springer New York An Introduction to Modern Mathematical Computing
Book Synopsisand the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Maple and other like tools are worth knowing assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better.Trade ReviewFrom the reviews:“This book is intended to teach the reader the usage of the computer algebra system Maple. … The book is readable and valuable to mathematics, science, and engineering undergraduates at the sophomore or above level. It could also be valuable to practitioners in those fields who want to learn Maple in situ. … Summing Up: Recommended. Lower-division undergraduates through graduate students; professionals.” (D. Z. Spicer, Choice, Vol. 49 (5), January, 2012)“This is a Maple-application book which illustrates some basic areas of mathematics by symbolic computation examples. … The presentation is clear with all necessary details and comments for ensuring a full understanding of the considered examples. The intended beneficiaries are undergraduate students, teachers giving courses to undergraduate students, as well as programmers interested in using Maple for several classes of mathematical problems.” (Octavian Pastravanu, Zentralblatt MATH, Vol. 1228, 2012)“In An Introduction to Modern Mathematical Computing with Maple, Borwein and Skerritt show that computers are an excellent companion for learning mathematics. … The theme of the book is that Maple can supplement mathematics learning and, what is more, can do much of the mathematics for the students. … The temptation is tremendous for students to skip the real work to have a true understanding of mathematics.” (David S. Mazel, The Mathematical Association of America, June, 2012)Table of Contents-Preface. -Conventions and Notation.-1. Number Theory (Introduction to Maple, Putting it together, Enough code, already. Show me some maths!, Problems and Exercises, Further Explorations). -2. Calculus(Revision and Introduction, Univariate Calculus, Multivariate Calculus, Exercises, Further Explorations). -3. Linear Algebra (Introduction and Review, Vector Spaces, Linear Transformations, Exercises, Further Explorations). -4. Visualisation and Geometry: a postscript (Useful Visualisation Tools, Geometry and Geometric Constructions). –A. Sample Quizzes (Number Theory, Calculus, Linear Algebra). –Index. –References
£56.35
Springer New York Eclipsing Binary Stars Modeling and Analysis Modeling and Analysis Astronomy and Astrophysics Library
Book SynopsisAstronomers learn much of what they know about the mass, brightness, and size of stars by observing binary systems, in which two stars orbit each other, periodically cutting off the others light.Table of ContentsI Introduction.- The Database and Methods of Data Acquisition.- II Modeling and Analysis.- A General Approach to Modeling Eclipsing Binaries.- Determination of Eclipsing Binary Parameters.- Advanced Topics and Techniques.- III Light Curve Programs and Software Packages.- Light Curve Models and Software.- TheWilson#x2013;Devinney Program: Extensions and Applications.- Light Curve Software with Graphical User Interface and Visualization.- The Structure of Light Curve Programs and the Outlook for the Future.
£143.99
Taylor & Francis Inc Bayesian Phylogenetics
Book SynopsisOffering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian Phylogenetics: Methods, Algorithms, and Applications presents a snapshot of current trends in Bayesian phylogenetic research. Encouraging interdisciplinary research, this book introduces state-of-the-art phylogenetics to the Bayesian statistical community and, likewise, presents state-of-the-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. In addition, the book covers divergence time estimation, biologically realistic models, and the burgeoning interfTrade Review"… a great resource to get up to speed with the current state and future directions of many areas of research in Bayesian phylogenetics. I expect Bayesian Phylogenetics will be an important resource as Bayesian approaches to phylogenetics continue to advance and diversify. It introduces many novel methods and proofs that will be of broad interest to statisticians, and includes thorough reviews of several exciting areas of statistical phylogenetics. As a result, many of the book’s chapters will be important (and likely highly cited) references."—Systematic Biology, August 2015"… the first book devoted solely to Bayesian methods in this field … . The affiliations of the editors of the volume reflect the strong interdisciplinary flavor of the book … . The diversity of contributing authors further reinforces this focus, with authors spanning the range from statisticians to phylogeneticists. … the volume does achieve the editors’ primary goal of bringing state-of-the-art developments at the intersection of Bayesian methodology and phylogenetic inference to the forefront in a manner in which they can be appreciated by researchers in both fields."—Journal of the American Statistical Association, June 2015"Bayesian Phylogenetics has the distinction of being the first published text devoted solely to the Bayesian approach to phylogenetics. … a useful resource for many researchers in the field and for statisticians interested in joining the game."—International Statistical Review, 2015"This book provides an extensive and concrete account of modern Bayesian phylogenetics … a good starting point for entering each subarea of Bayesian phylogenetics. … this book can serve as a road map for both starters and those who are already in this field. … The book is concise, and the examples accompanying each topic are clear and supported by relevant illustrations. … useful to researchers and graduate students."—Biometrics, March 2015Table of ContentsBayesian phylogenetics: methods, computational algorithms, and applications. Priors in Bayesian phylogenetics. IDR for marginal likelihood in Bayesian phylogenetics. Bayesian model selection in phylogenetics and genealogy-based population genetics. Variable tree topology stepping-stone marginal likelihood estimation. Consistency of marginal likelihood estimation when topology varies. Bayesian phylogeny analysis. Sequential Monte Carlo (SMC) for Bayesian phylogenetics. Population model comparison using multi-locus datasets. Bayesian methods in the presence of recombination. Bayesian nonparametric phylodynamics. Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution. Bayesian inference of species divergence times. Index.
£128.25
Taylor & Francis Inc Computational Neuroscience
Book SynopsisThis book covers the computer simulation of demyelinating neuropathies and neuronopathies and compares models with clinical findings. Through the approximation of nerve excitation and conduction, the authors show how the versatile structure of nerve fibers relates to different modes of focal prospects, inward and outward currents, conduction velocity, and errant transmission. They also explain how mathematical models elucidate emerging fine distinctions between hereditary and acquired neuronal diseases, including Charcot-Marie-Tooth, chronic inflammatory demyelinating polyneuropathy, Guillain-Barre syndrome, multifocal motor neuropathy, and amyotrophic lateral sclerosis.Table of ContentsNERVE FIBRES: Myelinated Axons. Demyelinating Neuropathies. Neuronopathies. Axonal Excitability.Mathematical Modeling of the Nerve Fibres. MODELS AND METHODS FOR INVESTIGATION OF THE HUMAN MOTOR NERVE FIBRE: Multi-Layered and Double Cable Models. Line-Source Model. Methods of Stimulation and Calculation of the Potentials. Methods for Calculation of the Strength-Duration Time. Constants, Rheobasic Currents and Recovery Cycles. SIMULATED DEMYELINATING NEUROPATHIES AND NEURONOPATHIES: Simulation of CMT1A, CIDP, Subtypes CIDP, GBS, MMN, and ALS. Abnormalities in the Potentials Action Potentials. Electrotonic Potentials. Abnormalities in the Extracellular Potentials and their Mechanisms. Abnormalities in the Strength-Duration Time Constants, Rheobasic Currents and Their Mechanisms. Abnormalities in the Recovery Cycles and Their Mechanisms. EFFECT OF THE MYELIN SHEATH AQUEOUS LAYERS ON THE EXCITABILITY PROPERTIES OF THE SIMULATED HEREDITARY AND CHRONIC DEMYELINATING NEUROPATHIES: Simulation of the CMT1A, CIDP and Subtypes CIDP with Aqueous Layers within the Myelin Sheath. Effect of the Myelin Sheath Aqueous Layers on the Potentials. Effect of the Myelin Sheath Aqueous Layers on the Strength-Duration Time Constants, Rheobasic Currents and Recovery Cycles. References.
£99.75
SAP Press Data Modelling for SAP HANA 2.0
Book SynopsisFind meaning in your business data. Build, manage, and secure calculation views and table functions with the SAP Web IDE for SAP HANA. See how SAP Web IDE, SAP HANA Live, and SAP S/4HANA embedded analytics all interact to create effective data models. Explore advanced modeling concepts compatible with SAP HANA 2.0.Table of Contents1) SAP HANA 2.0, 2) Data Modelling, 3) SAP Web IDE, 4) Information views, 5) Calculation views, 6) Table functions, 7) Model management, 8) Model migration, 9) SAP HANA Live, 10) SAP S/4HANA embedded analytics, 11) Security and authorizations
£92.15
Lexington Books Computer Simulation Rhetoric and the Scientific
Book SynopsisComputer simulations help advance climatology, astrophysics, and other scientific disciplines. They are also at the crux of several high-profile cases of science in the news. How do simulation scientists, with little or no direct observations, make decisions about what to represent? What is the nature of simulated evidence, and how do we evaluate its strength? Aimee Kendall Roundtree suggests answers in Computer Simulation, Rhetoric, and the Scientific Imagination. She interprets simulations in the sciences by uncovering the argumentative strategies that underpin the production and dissemination of simulated findings. She also explains how subjective and social influences do not diminish simulations' virtue or power to represent the real thing. Along the way, Roundtree situates computer simulations within the scientific imagination alongside paradoxes, thought experiments, and metaphors. A cogent rhetorical analysis, Computer Simulation, Rhetoric, and the Scientific Imagination engagesTrade ReviewAimee Kendall Roundtree’s Computer Simulation, Rhetoric, and the Scientific Imagination: How Virtual Evidence Shapes Science in the Making and in the News is an important foray into the rhetoric of leading edge science that stands to benefit students, teachers, and professionals. The theoretical concepts Roundtree introduces are useful in themselves for researchers who are interested in the complex nexus of technology and argumentation in diverse professional settings. The text provides excellent case studies of how effective communicators translate discipline-specific knowledge to audiences outside their realms of expertise. Roundtree’s thorough research methodology and data analysis make her book an excellent teaching tool for academic study as well as a model for professional practice. The book’s timely subject matter makes it a fascinating read as well as a clear example of how technology and professional communication drive each other. * Business and Professional Communication Quarterly *[This book] is a timely exploration of computer simulation in scientific argument. The book is a needed foundation for future investigations into simulations and their construction and function in professional, scientific discourse as well as how simulations are used and discussed in public debates about climate change and other contentious scientific and technical debates. . . .Roundtree makes a well-argued and -supported exploration of a topic important to technical writers and science communication specialists. . . .Technical writing instructors would do well to consider ways to situate the writing about and inclusion of simulated evidence into students’ writing education, and she suggests that we can think about how to help simulation scientists understand the rhetorical choices they make to improve their work as well . . . Roundtree’s research supports these efforts and offers a framework for more scholarship on the construction, presentation, and reception of simulations. * Technical Communication Quarterly *In her stimulating book . . . Aimee Kendall Roundtree shows how computer simulations provide an alternate way of conducting science. . . .Roundtree’s thought-provoking analysis is recommended as a sourcebook for technical communicators seeking to understand how rhetoric works in scientific documentation, especially that involving computer simulations of procedures, usability interfaces, and other dynamic online content. * Technical Communication Quarterly *Roundtree’s book [is] most timely for readers in PTC and rhetoric and writing because, as Roundtree demonstrates, computer simulations are thoroughly rhetorical. . . .In summary, Roundtree offers an important and detailed glimpse into the rhetoric of computer simulations. . . .Roundtree’s study presents a thorough analysis based on a rich data set. As such, it should be widely read in the field. * Present Tense *Roundtree assembles an impressive archive to teach us about the rhetoric of simulations and to argue that we must start paying attention to them. Simulations matter to rhetoric not merely because of their mighty impact on how we make law and policy, but also because they bring us back to the heart of rhetoric itself, which has always been dedicated to building possible worlds and imagining how we might live with each other in them. Even scholars who do not work on computer simulations will find Roundtree's discussions on abductive reasoning and virtual evidence to be powerful lenses on argumentation in the post-modern public square. -- Lynda Walsh, University of Nevada, RenoThis timely contribution from Aimee Roundtree helps us understand simulations as rhetorical acts and products. It will be required reading for those who want to understand how simulations are used to convince and persuade. -- Eric Winsberg, University of South FloridaTable of ContentsChapter 1: Why Computer Simulations Need Rhetorical Intervention Chapter 2: The Rhetorical Situation of Simulations Chapter 3: Simulations and the Scientific Imagination Chapter 4: Rhetorical Strategies of Simulated Evidence Chapter 5: Social Dimensions of Simulated Meaning Chapter 6: The Rhetoric of Simulations in the News Chapter 7: Conclusion
£36.90
Nova Science Publishers Inc Information & Computer Technology, Modeling &
Book SynopsisIn the near future, information technology is likely to be one of the most potent growth areas in advanced industrialised countries. Indeed, it is now widely recognised that long-term economic prosperity will crucially depend upon people''s success in developing, mastering, exploiting and marketing information systems. Modelling, analysis, and control of complex systems have interested scientists and engineers for a long time. With the invention of digital computers, modelling and control have taken great importance with numerous applications in various spheres. Although the argument for the rapid development and introduction of information technology into the many aspects of our everyday existence is extremely strong, unfortunately it remains the case that at present the technology is being used effectively by only a small proportion of the people who could benefit from it. In this book, the papers of the Georgian scientists and engineers are presented. Currently novel technologies include information technology, nanotechnology, biotechnology, cognitive science, robotics and artificial intelligence. The purpose of the investigations in these fields is the consolidation and support of Georgian scientists and the experts working in the field of advanced technologies, expansion of international scientific communications, and assistance in the introduction of high-tech technologies. This collection of articles examines the following questions: problems of control, computer-aided engineering, information and communication systems, prospects of new technologies, systems analysis, intellectual control and decision-making systems, mathematical modelling and computer simulation, problems of sustainable development, parallel computing and its applications, control systems, monitoring systems and measuring systems, theoretical computer science, the paradigm of creativity management, and pedagogy, psychology and spiritual dimensions of scientific paradigms.
£195.19
Nova Science Publishers Inc Material Modelling: Applications, Challenges &
Book SynopsisThis book endeavors to provide readers with the most up-to-date methodologies used to simulate and predict different features of material behaviors as well as their damage evolution and failure. Much of the information used in this book is from the authors'' own research that has been conducted over the last years. This book contains a compilation of new developments in the creation and use of mathematical methodologies able to model material behaviors, including different materials and applications. Some of these recent methodologies enable researchers to investigate the mechanical behavior coupled with electrical or chemical behavior. Other methodologies model the mechanical behavior or its damage evolution and its failure based on a multiscale analysis. In addition, different approaches alternative to conventional finite element methods, such as new discretization meshless methods, different homogenisation methods or higher order formulations are also applied to model different materials. This book contains a total of nine chapters. The chapters have both new, original articles and review articles with updated and new information. Furthermore, the numerical methodologies presented among these chapters can be adapted to model other materials, therefore inspiring the readers for different applications.The target audience of this book are solid mechanics scientists, mathematicians and engineers in both universities and industries with an interest in the material model field. Readers should already have an in-depth knowledge of continuum mechanics and the finite element method applied to solids. It is not the aim of this book to introduce the reader to these subjects. Engineers and designers that are familiar with mechanical simulations will find that this book covers the latest developments and challenges useful either as a comprehensive review or an up-to-date report of the developments in the field of material modeling. The contributors include academic scientists from different countries in North (USA) and South America (Brazil, Cuba) as well as Europe (Italy, Portugal). Therefore, this book is internationally as well as multi-application oriented.
£148.79
Nova Science Publishers Inc Dynamic Systems: Modeling, Performance &
Book SynopsisIn the first chapter, Dr Christian Hugo Hoffmann presents a study that adds to the current knowledge on financial risk and complexity while drawing on the concept of organized complexity, coined by Weaver. He finishes by explaining the correlation between the ideas of complexity, randomness, and systemic risks. In the second chapter, Peter A. Stubberud, Stephen C Stubberud, and Allen R. Stubberud present a signal processing technique, which is a simplification of the dynamic element matching technique, or DEMT and is referred to as the dynamic system matching technique, or DSMT, for controlling the noise signal in the output of a system due to manufacturing errors. In the third and final chapter, Yu Zhou, Weigang Wu, and Huaguan Li define new system models to describe the dynamicity of clusters and then, based on those models, they design and present an algorithm that is able to elect an eventual leader.
£78.39
Nova Science Publishers Inc Computational Techniques in Modeling & Simulation
Book SynopsisThis volume is concerned with Computational Techniques in Modeling and Simulation. Initially, there are four research papers and apart from those, the rest of the research papers are coming from the International Conference on Modeling and Simulation (MS''2012), held in Minsk, 24 May 2012. MS''12 was co-organised by the AMSE Association and the Belarusian State University in co-operation with other scientific establishments: the Belarusian Academy of Sciences (United Institute of Problems of Informatics), the Belarusian Society of International Association of Pattern Recognition and the International Association for Fuzzy Set Management and Economy (SIGEF, Spain). The Conference was sponsored by the Belarusian State University and Byelex Multimedia Products BV (The Netherlands). It offered a unique opportunity for researchers, professionals and students to share ideas concerning modelling, simulation and implementation of the results in the real world. We would like to thank all contributors, referees, honorary committees for their co-operation within MS''12, in particular: Jaime Gil Aluja (AMSE President), Sergey Ablameyko (the Rector of the Belarusian State University) as honorary chairmen.
£159.74
Nova Science Publishers Inc Computer Vision & Simulation: Methods,
Book Synopsis
£148.79
IGI Global Digital Technologies in Modeling and Management:
Book SynopsisDigital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.
£235.60
BCS Learning & Development Limited Modelling Business Information: Entity
Book SynopsisIt is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a ‘data model’ to represent the information that has to be handled by the system. Starting from first principles, this book will help business analysts to develop the skills required to construct data models through comprehensive coverage of entity relationship and class modelling, in line with the BCS Data Analysis syllabus. In addition to covering the topics in the syllabus, the book also includes extra information of interest including data model quality and taking a requirement model into database design.Trade Review'“Modelling Business Information” by Keith Gordon, is aimed at those who are new to business analysis or information modelling. Keith draws on a wealth of experience in information management, both as a practitioner, and as a lecturer with the Open University in his writing. The first six chapters provide an accessible and clear foundation in the topic covering the reasons for developing information models, the basic elements of entity-relationship diagrams, how to develop an information model from basic information requirements, and finally how to normalise existing data. I particularly like that it uses two graphical notations, the Barker-Ellis notation, noted for its readability, and the ubiquitous Unified Modelling Language notation, which helps to demonstrate that there are different notations that entity-relationship models can be developed in. This first part of the book also takes care to cover the syllabus for the Data Analysis certificate that is part of the scheme for the BCS Advanced International Diploma in Business Analysis. The second part of the book covers a range of more advanced topics from naming conventions and yet more entity-relationship model notations, to considerations of quality in information models, corporate data models, modelling for business intelligence applications, and finally goes on to look at data and database topics including an overview of SQL, and moving to database design and optimisation. Overall, the book provides an excellent grounding in the full range of topics related to information modelling.' -- Matthew West * Director *‘Anyone interested in a thoughtful, well-done text on how to do high-quality business analytical data modelling should definitely proceed with this book.’ -- David Hay * CEO *'“Modelling Business Information” provides an introduction to data modeling, to the nomenclature used by common modeling techniques, and to techniques for representing common patterns. This is a useful book for business analysts who are creating the information model as well as for business and IT users who need to understand a data model.' -- Keith W. Hare * Senior Consultant *'Keith Gordon’s wonderfully compact yet thorough introduction to business-friendly information modelling is a terrific contribution to the field. Globally, there’s a surge of interest in data modelling as a powerful tool for improving communication, especially with professionals who used to think business-oriented entity-relationship modelling didn't need to be in their tool kits. Business analysts, Agile developers, data scientists, big data specialists, and other professionals will all benefit from Keith’s work.' -- Alec Sharp * Senior Consultant, Clariteq *'As the roles of Data and Business Analysts become more intertwined, this book is timely in its publication. Businesses often fail to recognise information is a key resource and are confused by how it is presented or overwhelmed its complexity during use. Keith brings to the forefront of the readers mind the importance of communicating and analysing the relationship between Business, Information, Systems and Data, and the value in developing models cooperatively, gaining "consensus, not perfection“ from stakeholders. Simple everyday examples and analogies to support the readers understanding and make the subject more relatable are used. I enjoyed reading the book and completing the exercises. An excellent learning aid for Analysts who are new to modelling or need reminding of good practice.' -- Katie Walsh * Business Analyst and Mentor *Table of ContentsIntroduction Part 1: The Basics Chapter 1: Why business analysts should model information Chapter 2: Modelling the things of interest to the business and the relationships between them Chapter 3: Modelling more complex relationships Chapter 4: Drawing and validating data model diagrams Chapter 5: Recording information about things Chapter 6: Rationalising data using normalisation Part 2: Supplementary Material Chapter 7: Other modelling notations Chapter 8: The naming of artefacts on information models Chapter 9: Information model quality Chapter 10: Corporate information and data models Chapter 11: Data and databases Chapter 12: Business intelligence Chapter 13: Advances in SQL (or why business analysts should not be in the weeds) Chapter 14: Taking a requirements information model into database design Appendix A: Table of equivalences Appendix B: Bibliography Appendix C: Solutions to the exercises
£34.99
Edward Elgar Publishing Ltd Simulating Innovation: Computer-based Tools for
Book SynopsisThis book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines.'- Mercedes Bleda, Journal of Artificial Societies and Social SimulationChristopher Watts and Nigel Gilbert explore the generation, diffusion and impact of innovations, which can now be studied using computer simulations.Agent-based simulation models can be used to explain the innovation that emerges from interactions among complex, adaptive, diverse networks of firms, people, technologies, practices and resources. This book provides a critical review of recent advances in agent-based modeling and other forms of the simulation of innovation. Elements explored include: diffusion of innovations, social networks, organizational learning, science models, adopting and adapting, and technological evolution and innovation networks. Many of the models featured in the book can be downloaded from the book's accompanying website.Bringing together simulation models from several innovation-related fields, this book will prove a fascinating read for academics and researchers in a wide range of disciplines, including: innovation studies, evolutionary economics, complexity science, organization studies, social networks, and science and technology studies. Scholars and researchers in the areas of computer science, operational research and management science will also be interested in the uses of simulation models to improve the understanding of organization.Trade ReviewThis book brings together computer models and simulation approaches that allow the investigation of a wide range of innovation related issues, and hence will be of interest for academics and researchers from a variety of innovation related disciplines. --- Mercedes Bleda, Journal of Artificial Societies and Social SimulationTable of ContentsContents: Preface 1. Why Simulate Innovation? 2. The Variability and Variety of Diffusion Models 3. Diffusion and Path Dependence in a Social Network 4. Explore and Exploit 5. Science Models 6. Adopting and Adapting: Innovation Diffusion in Complex Contexts 7. Technological Evolution and Innovation Networks 8. Conclusions Bibliography
£34.15
WIT Press Complex Systems: Fundamentals & Applications
Book SynopsisThe papers contained in this volume were originally presented at the 2015 International Conference on Complex Systems in Business, Administration, Science and Engineering. Included are the latest works of practitioners from a variety of disciplines who have developed new approaches for resolving complex issues that cannot be formulated using conventional, mathematical or software models.Complex Systems occur in an infinite variety of problems, not only in the realm of physical sciences and engineering, but also in such diverse fields as economics, the environment, humanities, and social and political sciences.The papers in the book cover such topics as: Complex ecological systems; Complexity science and urban developments; Complex energy systems; Complex issues in biological and medical sciences; Extreme events: natural and human made disasters; Climate change; Complexity of the internet-based global market; Complex business processes; Supply chain complexity; Transportation complexity; Logistics complexity; Closed and open systems; Attractions and chaotic systems; Complex adaptive software; Complexity of big data; Management of complexity; Global economy as a complex system; Complexity in social systems; Complex political systems; Administrations as complex systems; Complexity in engineering; Complexity and environment; Complexity and evolution; Complexity in linguistics, literature and arts.Table of ContentsContentsSection 1: FundamentalsNon-relativistic time, existence and adaptation; On computing the behavior of the mind from an eastern philosophical perspective; Complexity as the defining feature of the 21st century; Factors that facilitate organisational change in complex systems; Mutual shaping between technologies and law: memories of Norwegian e-health infrastructures; 'In' or 'as' space?: a model of complexity, with philosophical, simulatory, and empirical ramifications; Toward thermodynamics of real-time scheduling; Semantic shift to pragmatic meaning in shared decision making: situation theory perspective; Techniques for multifractal spectrum estimation in financial time seriesSection 2: Applications in business and industryAddressing supply-chain complexity using closed-loop simulation-based exercises; Price competition strategy of internet platforms; A novel dwelling time design method for low probability of intercept in a complex radar network; Systems analysis for energy systems using an integrated model of GIS and technology models; Analysing the Chinese stock market using the Hurst exponent, fractional Brownian motion and variants of a stochastic logistic differential equation; Effects of mobile application to the public transportation and future editing: Istanbul caseSection 3: Applications in various fieldsSupporting sensemaking to deal with organizational complexity; The relationship between employee health, quality culture and organizational effectiveness: findings from the literature; Systems engineering beliefs: contemplating personal perceptions regarding state of the art; Value-sensitive design for indigenous people of Oaxaca, Mexico; Influences in a biologically complex adaptive system: environmental stress affects dental development in a group of Romano-BritonsSection 4: Multi-agent applicationsA multi-agent solution for managing complexity in English to Sinhala machine translation; Using a multi-agent system for supply chain management; Design and development of an agent-based model for business operations faced with flood disruption; Using multi-agent technology for the distributed management of a cluster of remote sensing satellites; Multi-agent method to adaptive real-time train scheduling with conflict limitationsAuthor index
£138.70
ISTE Ltd and John Wiley & Sons Inc Milling Simulation: Metal Milling Mechanics,
Book SynopsisReliable scheduling in cutting conditions is very important in machining processes, and this requires thorough understanding of the physical behaviors of the machining process, which cannot be achieved without understanding the underlying mechanism of the processes. The book describes the mechanics and dynamics together with the clamping principles in milling processes, and can be used as a guideline for graduate students and research engineers who wish to be effective manufacture engineers and researchers. Many books have focused on common principles, which are suitable for general machining processes, e.g., milling, turning and drilling, etc. This book specifically aims at exploring the mechanics and dynamics of milling processes. Original theoretical derivations and new observations on static cutting force models, dynamic stability models and clamping principles associated with milling processes are classified and detailed. The book is indented as a text for graduate students and machining engineers who wish to intensively learn milling mechanism and machine tool vibration.Table of ContentsPreface ix Introduction xi Chapter 1 Cutting Forces in Milling Processes 1 1.1 Formulations of cutting forces 1 1.1.1 Mechanics of orthogonal cutting 1 1.1.2 Cutting force model for a general milling cutter 4 1.2 Milling process geometry 8 1.2.1 Calculations of uncut chip thickness 8 1.2.2 Determination of entry and exit angles 12 1.3 Identification of the cutting force coefficients 24 1.3.1 Calibration method for general end mills 24 1.3.2 Calibration method in the frequency domain 33 1.3.3 Calibration method involving four cutter runout parameters 39 1.3.4 Identification of shear stress, shear angle and friction angle using milling tests 48 1.4 Ternary cutting force model including bottom edge cutting effect 55 1.4.1. Calculations of FB(ϕ) 57 1.4.2. Calculations of FB(ϕ) 57 1.4.3 Calibration of Kqc (q = T, R) 58 1.4.4 Calibrations of Kq,B (q = T, R) 59 1.4.5 Experimental work 61 1.5 Cutting force prediction in peripheral milling of a curved surface 61 1.5.1 Calculations of instantaneous uncut chip thickness 65 1.5.2 Calculations of entry and exit angles 67 Chapter 2 Surface Accuracy in Milling Processes 71 2.1 Predictions of surface form errors 71 2.1.1 Calculation of cutting forces and process geometries 73 2.1.2 Iterative algorithms of surface form errors 81 2.2 Control strategy of surface form error 89 2.2.1 Development of control strategy 89 2.2.2 Verification of control strategy 93 2.3 Surface topography in milling processes 95 2.3.1 Prediction method for flat-end milling 97 2.3.2 Prediction method for multi-axis ball end milling 101 Chapter 3 Dynamics of Milling Processes 115 3.1 Governing equation of the milling process 115 3.2 Method for obtaining the frequency response function 120 3.2.1 Derivation of calculation formulations 121 3.2.2 Identification of model parameters 134 3.3 Prediction of stability lobe 139 3.3.1 Improved semi-discretization method 139 3.3.2 Lowest envelope method 144 3.3.3 Time-domain simulation method 155 Chapter 4 Mathematical Modeling of the Workpiece-Fixture System 165 4.1 Criteria of locating scheme correctness 165 4.1.1 The DOFs constraining principle 165 4.1.2 The locating scheme 168 4.1.3 Judgment criteria of locating scheme correctness 172 4.1.4 Analysis of locating scheme incorrectness 173 4.2 Analysis of locating scheme correctness 175 4.2.1 Localization source errors 175 4.2.2 Fixture modeling 176 4.2.3 Locating scheme correctness 182 4.3 Analysis of workpiece stability 186 4.3.1 Modeling of workpiece stability 186 4.3.2 Solution techniques to the model of workpiece stability 194 4.4 Modeling of the workpiece-fixture geometric default and compliance 201 4.4.1 Source error analysis 201 4.4.2 Workpiece position error 207 4.4.3 Machining error analysis 212 4.5 Optimal design of the fixture clamping sequence 218 4.5.1 Effect of clamping sequence on high-stiffness workpiece 218 4.5.2 Effect of clamping sequence on low-stiffness workpiece 224 4.5.3 Optimization of clamping sequence 225 Bibliography 229 Index 245
£125.06
ISTE Ltd and John Wiley & Sons Inc Ecosystems Knowledge: Modeling and Analysis
Book SynopsisTo analyze complex situations we use everyday analogies that allow us to invest in an unknown domain knowledge we have acquired in a known field. In this work the author proposes a modeling and analysis method that uses the analogy of the ecosystem to embrace the complexity of an area of knowledge. After a history of the ecosystem concept and these derivatives (nature, ecology, environment ) from antiquity to the present, the analysis method based on the modeling of socio-semantic ontologies is presented, followed by practical examples of this approach in the areas of software development, digital humanities, Big Data, and more generally in the area of complex analysis.Table of ContentsIntroduction ix Chapter 1. Use of the Ecosystem Concept on the Web 1 1.1. For marketing 2 1.2. For personal data 4 1.3. For services and applications 5 1.4. For dynamic interactivity 7 1.5. For pictorial analogies 8 1.6. For the information and communication sciences 12 Chapter 2. Ecosystem Modeling: A Generic Method of Analysis 15 2.1. Hypertextual gardening fertilized by the chaos of John Cage 16 2.2. An entrepreneurial experience 17 2.2.1. Objectives 18 2.2.2. Principle of the game 18 2.2.3. Motivations 19 2.2.3.1. Why model a cognitive ecology? 19 2.2.3.2. The relevance of the garden analogy 20 2.2.4. Strategic interests and potential benefits 23 2.3. The maturation of a research project 24 2.3.1. Evaluating index activity 24 2.3.2. Folksonomies explorer 28 2.3.3. Tweet Palette: Semantic mapping 34 Chapter 3. Fundamental Principles for Modeling an Existence 41 3.1. Key concepts for thinking about knowledge ecosystems 42 3.1.1. The noosphere 42 3.1.2. Enaction 44 3.1.3. Complexity 45 3.1.4. Trajective reason 46 3.1.5. Agency 47 3.2. Spinozist principles for an ethical ontology 48 3.2.1. Spinoza: ethical ontology 49 3.2.2. Limitations of Spinozism 50 3.2.3. Three dimensions of existence and three kinds of knowledge 51 3.2.4. Spinozist symbol politics 55 3.2.5. Spinozist ethics for the Web 57 3.2.6. The ontological principles of Descola 58 3.2.7. Principles of ontological matrices 59 3.2.8. The Web as analogist ontology 63 3.2.9. Principles of computer models 67 3.2.10. From Zeno to Turing via Spinoza 68 3.2.11. The search for the perfect language 74 3.3. Semantic knowledge management 77 3.3.1. The boundaries of ontologies 77 3.3.2. The semantic sphere IEML 78 Chapter 4. Graphical Specifications for Modeling Existences 89 4.1. Principles of graphical modeling 90 4.1.1. Unified modeling language 90 4.1.2. Graphic partitions and diagrams 92 4.1.3. Fixed image versus dynamic diagram 94 4.2. Semantic maps 97 4.2.1. Maps of physical spaces 97 4.2.2. Time maps 99 4.2.3. Maps of conceptual spaces 101 4.2.4. Interpretation maps 107 4.3. Graphical modeling rules 110 4.3.1. Physical dimensions 110 4.3.2. Actors 111 4.3.3. Concepts 111 4.3.4. Relations 112 4.3.5. Calculating the complexity of an ecosystem 113 Chapter 5. Web Platform Specifications for Knowledge Ecosystems 117 5.1. The generic management of resources 119 5.1.1. Non-digital resources 119 5.1.2. Digital resources 122 5.1.3. Management of digital resources 131 5.2. Principles for developing a Web ecosystem platform 138 5.2.1. Databases as a model of the ecosystem 138 5.2.2. Algorithmic platform to manage the ecosystem 153 5.2.3. Editorial platform for controlling collaborative practices 157 5.2.4. Client applications to explore ecosystem views 162 5.2.5. From technical specification to the organization of collective intelligence 171 Conclusion 173 Appendix 185 Bibliography 201 Index 217
£125.06
ISTE Ltd and John Wiley & Sons Inc Virtual Work Approach to Mechanical Modeling
Book SynopsisThis book is centred about the Principle of virtual work and the related method for mechanical modelling. It aims at showing and enhancing the polyvalence and versatility of the virtual work approach in the mechanical modelling process. The virtual work statement is set as the principle at the root of a force modelling method that can be implemented on any geometrical description. After experimentally induced hypotheses have been made on the geometrical parameters that describe the concerned system and subsystems, the method provides a unifying framework for building up consistently associated force models where external and internal forces are introduced through their virtual rates of work. Systems described as three-dimensional, curvilinear or planar continua are considered: force models are established with the corresponding equations of motion; the validation process points out that enlarging the domain of relevance of the model for practical applications calls for an enrichment of the geometrical description that takes into account the underlying microstructure.Table of ContentsNotice to Readers iii About the Authors v Preface vii Acknowledgments ix 1 Increased Complexity and Mounting Challenges: Time to Prepare 1 Call to Action 6 Conclusion 6 2 Roles of the Board and Management 9 Governance in the 21st Century 10 Purpose of the Governing Board 11 Board Committees 12 Legal Responsibilities of the Board 13 Lesson Learned 13 Lesson Learned 13 Lesson Learned 14 IRS Form 990 and Governance 14 Frameworks for Good Governance 15 Panel on the Nonprofit Sector Framework—Good Governance Model 16 Legal Compliance and Public Disclosure 17 Effective Governance 20 Conclusion 30 Appendix A—Comparison of Key Objectives of the Board of Directors With the Good Governance Framework and Questions From IRS Form 990 32 Appendix B—Example Dashboard for Board Evaluation 35 Appendix C—Sample Board Self-Assessment Document 37 3 Legal and Ethical Imperatives for Leadership 39 Legal Accountability 40 Ethical Accountability 41 Who is Accountable for Accountability? 43 How to Instill Ethical and Legal Accountability 44 Honest Communications 44 Strong Relationships 44 Internal Controls 45 Clear Expectations 45 Skilled Boards 45 Involved and Informed Boards 45 Financial, Document, and Ethics Audits 45 Compliance Officers 46 Resolving Dilemmas 46 What About WholeHealth? 48 Conclusion 49 4 When Management and the Governing Board Disagree 51 The Head Game 52 Communication 53 Constructive Norms 55 Negotiation 57 Assisted Resolution 59 Conclusion 60 5 Understanding the Financial Statements of Nonprofit Organizations 61 Characteristics of Nonprofits 62 Responsibility for Financial Information 62 Basis of Presentation for Financial Information 63 Cash Basis of Accounting Versus Accrual Basis 63 Basic Financial Statements 64 Footnotes to the Financial Statements 65 Fund Accounting 66 Assets 70 Liquidity 70 Cash and Cash Equivalents 71 Revenue, Receivables, and Deferred Revenue 72 In-Kind Contributions 75 Long Term Contributions 76 Conditional Promises to Give 77 Endowments 78 Split Interest Agreements 79 Agency Transactions 81 Nonprofit Serves as a Conduit for Cash or Noncash Donations 81 Nonprofit Solicits Funds for Another Nonprofit Organization (Unrelated) 82 Nonprofit Holds Funds for Another Nonprofit Organization (Unrelated) 82 Nonprofit Enters Into Transactions With Related Foundations 83 Inventories 83 Prepaid Expenses and Investments 84 Alternative Investments 84 Property and Equipment 85 Liabilities 85 Accounts Payable and Accrued Expenses 85 Mortgages and Notes Payable 86 Net Assets 86 Revenues and Expenses 86 Conclusion 87 6 Risk Management 89 Some Risks Can Be Mitigated With Insurance 89 Cyber Risk—A Growing Threat 90 Risk in a Complex World 90 A Nonprofit’s Most Important Resource 91 Risk Management Approach 93 Enterprise Risk Management 93 ERM Component One 94 ERM Component Two 94 ERM Component Three 94 ERM Component Four 95 ERM Component Five 96 ERM Component Six 96 ERM Component Seven 99 Example Application of a Risk Management System to a Nonprofit Organization 99 ERM in Smaller Nonprofit Organizations 102 Risk Management Committee 103 Crisis Management 104 Revisiting Uncertainty 105 Conclusion 105 Appendix A—Risk Management Checklist 107 7 Internal Controls: What Every Executive and Board Member Needs to Know 113 Characteristics of Nonprofits 113 Internal Control Defined 114 COSO Framework Updated for Changing Times 115 Distinguishing Error From Fraud 116 Controls for Smaller Organizations 118 Elements of Internal Control 119 Control Activities 121 Designing a System of Internal Control 123 Entity Controls 123 Control Activities 127 Antifraud Programs and Controls 131 Misappropriation of Assets 131 Fraudulent Financial Reporting 132 Revenue Recognition and Management Override 132 Control Environment 133 Fraud Risk Assessment 133 Information and Communication 133 Monitoring 134 Billing Schemes, Check Tampering, and Expense Fraud 136 Use of Analytical Techniques to Identify Unusual Disbursement Transactions for Investigation 140 Skimming and Larceny 141 Payroll Fraud 143 Controls Over Noncash Items 146 When Processing Is Outsourced 146 Cybersecurity and Not-for-Profits 147 Internal Controls Evolve 148 Conclusion 149 Appendix A—2013 COSO Framework 17 Principles—Summary 150 8 Focus on Tax-Exempt Status 155 Nonprofit Organizations and Tax-Exempt Status 156 IRS Filings 157 Differences Between Nonprofit and Commercial Organizations 158 Recognition of Tax-Exempt Status 162 Lobbying 164 Public Charity or Private Foundation 166 Public Support Test for Charitable Organizations 167 Test 1 (509(a)(1))—Compute the Public Support Percentage 168 Test 2 (509(a)(2))—Compute the Public Support Percentage 169 Supporting Organizations 170 Charitable Contributions 172 Filing Form 990 175 Unrelated Business Income 177 IRS Audits 179 Conclusion 180 Appendix A—Guide for the Board’s Review of Form 990 181 Appendix B—Important Filings for Tax-Exempt Organizations 185 Appendix C—Governance Policies and Procedures 188 9 The Courage to Lead 189 Moral Courage 189 Barriers to Ethical Action 191 Strategies for Ethical Action 194 Have a Clear Compass 194 Know Your Objective 195 Seek Advisers and Allies 195 Walk the Walk 196 Understand Change Strategies 196 Practice Considerate Communication 197 Conclusion 197 10 Change Management 199 Understanding Change 200 Be Clear About What You Want 202 Assess Before You Act 203 Create Awareness and Urgency 204 Create a Powerful Coalition 205 Communicate 207 Address Obstacles and Blockers 208 Create Short TermWins 210 Give People the Tools to Succeed 210 Solidify Changes 211 Suggestions for Sonja 212 Be Clear About What You Want 212 Assess Before You Act 212 Create Awareness and Urgency 213 Create a Powerful Coalition 214 Address Obstacles 214 Communicate 215 Create Short Term Wins 215 Give People the Tools to Succeed 215 Solidify Changes 215 Conclusion 215 11 Integration for Action 217 Case One: AWoman Scorned 217 Prevent 218 Address 219 Improve 220 Case Two: The Indeterminate Sentence 221 Prevent 222 Address 225 Improve 225 Case Three: Your Turn 226 Sustained Success 227 Conclusion 227 Glossary 229 Bibliography 235 Suggested Reading 239
£125.06
ISTE Ltd and John Wiley & Sons Inc Model-based Systems Architecting: Using CESAM to
Book SynopsisModel-based Systems Architecting is a key tool for designing complex industrial systems. It is dedicated to the working systems architects, engineers and modelers, in order to help them master the complex integrated systems that they are dealing with in their day-to-day professional lives. It presents the CESAMES Systems Architecting Method (CESAM), a systems architecting and modeling framework which has been developed since 2003 in close interaction with many leading industrial companies, providing rigorous and unambiguous semantics for all classical systems architecture concepts. This approach is practically robust and easy-to-use: during the last decade, it was deployed in more than 2,000 real system development projects within the industry, and distributed to around 10,000 engineers around the globe.Table of ContentsPreface ix Acknowledgments xv Introduction xvii Chapter 1 Introduction to CESAM 1 1.1 CESAM: a mathematically sound system modeling framework 1 1.2 CESAM: a framework focused on complex integrated systems 8 1.3 CESAM: a collaboration-oriented architecting framework 12 1.4 CESAM: a business-oriented framework 16 Chapter 2 Why Architecting Systems? 19 2.1 Product and project systems 19 2.2 The complexity threshold 22 2.3 Addressing systems architecting becomes key 25 2.4 The value of systems architecting 31 2.5 The key role of systems architects 34 2.6 How to analyze a systems architect profile? 36 Chapter 3 CESAM Framework 39 3.1 Elements of systemics 39 3.1.1 Interface 39 3.1.2 Environment of a system 41 3.2 The three architectural visions 42 3.2.1 Architectural visions definition 42 3.2.2 Architectural visions overview 46 3.2.3 Relationships between the three architectural visions 52 3.2.4 Organization of a system model 55 3.3 CESAM systems architecture pyramid 57 3.3.1 The three key questions to ask 57 3.3.2 The last question that shall not be forgotten 59 3.4 More systems architecture dimensions 60 3.4.1 Descriptions versus expected properties 60 3.4.2 Descriptions 62 3.4.3 Expected properties 73 3.5 CESAM systems architecture matrix 78 Chapter 4 Identifying Stakeholders: Environment Architecture 83 4.1 Why identify stakeholders? 83 4.2 The key deliverables of environment architecture 85 4.2.1 Stakeholder hierarchy diagram 85 4.2.2 Environment diagram 87 Chapter 5 Understanding Interactions with Stakeholders: Operational Architecture 91 5.1 Why understand interactions with stakeholders? 91 5.2 The key deliverables of operational architecture 94 5.2.1 Need architecture diagram 94 5.2.2 Lifecycle diagram 95 5.2.3 Use case diagrams 97 5.2.4 Operational scenario diagrams 99 5.2.5 Operational flow diagram 101 Chapter 6 Defining What the System Shall Do: Functional Architecture 103 6.1 Why understand what the system does? 103 6.2 The key deliverables of functional architecture 105 6.2.1 Functional requirement architecture diagram 106 6.2.2 Functional mode diagram 108 6.2.3 Functional breakdown and interaction diagrams 109 6.2.4 Functional scenario diagrams 111 6.2.5 Functional flow diagram 112 Chapter 7 Deciding How the System Shall be Formed: Constructional Architecture 115 7.1 Understanding how the system is formed? 115 7.2 The key deliverables of constructional architecture 117 7.2.1 Constructional requirement architecture diagram 118 7.2.2 Configuration diagram 120 7.2.3 Constructional breakdown and interaction diagram 121 7.2.4 Constructional scenario diagram 123 7.2.5 Constructional flow diagram 124 Chapter 8 Taking into Account Failures: Dysfunctional Analysis 127 8.1 Systems do not always behave as they should 127 8.2 The key deliverables of dysfunctional analysis 134 8.2.1 Dysfunctional analysis from an operational perspective 135 8.2.2 Dysfunctional analysis from a functional perspective 136 8.2.3 Dysfunctional analysis from a constructional perspective 138 Chapter 9 Choosing the Best Architecture: Trade-off Techniques 141 9.1 Systems architecting does not usually lead to a unique solution 141 9.2 Trade-off techniques 143 9.2.1 General structure of a trade-off process 143 9.2.2 Managing trade-offs in practice 145 Conclusion 149 Appendices 157 Appendix 1 System Temporal Logic 159 Appendix 2 Classical Engineering Issues 163 Appendix 3 Example of System Model Managed with CESAM 177 Appendix 4 Implementing CESAM through a SysML Modeling Tool 199 Appendix 5 Some Good Practices in Systems Modeling 209 References 211 Index 219
£112.50
World Scientific Europe Ltd Multi-objective Design Of Antennas Using
Book SynopsisThis book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic simulations, surrogate modeling techniques, and design space reduction methods. Based on contemporary research, it formulates multi-objective design tasks, highlights related challenges in the context of antenna design, and discusses solution approaches. Specific focus is on providing methodologies for handling computationally expensive simulation models of antenna structures in the sense of their multi-objective optimization. Also given is a summary of recent developments in antenna design optimization using variable-fidelity simulation models. Numerous examples of real-world antenna design problems are provided along with discussions and recommendations for the readers interested in applying the considered methods in their design work.Written with researchers and students in mind, topics covered can also be applied across a broad spectrum of aeronautical, mechanical, electrical, biomedical and civil engineering. It is of particular interest to those dealing with optimization, computationally expensive design tasks and simulation-driven design.
£99.90
Royal Society of Chemistry Computer Simulation of Porous Materials: Current
Book SynopsisComputer Simulation of Porous Materials covers the key approaches in the modelling of porous materials, with a focus on how these can be used for structure prediction and to either rationalise or predict a range of properties including sorption, diffusion, mechanical, spectroscopic and catalytic. The book covers the full breadth of (micro)porous materials, from inorganic (zeolites), to organic including porous polymers and porous molecular materials, and hybrid materials (metal-organic frameworks). Through chapters focusing on techniques for specific types of applications and properties, the book outlines the challenges and opportunities in applying approaches and methods to different classes of systems, including a discussion of high-throughput screening. There is a strong forward-looking focus, to identify where increased computer power or artificial intelligence techniques such as machine learning have the potential to open up new avenues of research. Edited by a world leader in the field, this title provides a valuable resource for not only computational researchers, but also gives an overview for experimental researchers. It is presented at a level accessible to advanced undergraduates, postgraduates and researchers wishing to learn more about the topic.Table of ContentsIntroduction to Computational Modelling of Microporous Materials; Structure Prediction of Porous Materials; Atomistic Simulations of Mechanical Properties; Modelling Sorption and Diffusion Behaviour in Porous Solids; Spectroscopic and Catalytic Properties; Machine Learning in Porous Materials
£94.99
Reaktion Books Simulating the Cosmos: Why the Universe Looks the
Book SynopsisSimulating the Cosmos is a behind-the-scenes look into one of the hottest and fastest-moving areas of astrophysics today: simulations of cosmology and galaxy formation, which illustrate how everything we see in the universe arose out of the primordial soup of the Big Bang. Leading cosmologist Romeel Davé guides you through the trials and tribulations of what it takes to put the universe into a computer, the amazing new insights revealed by cosmological simulations, and the many mysteries yet to be solved. This rollicking and extraordinary journey is a rare glimpse into science in action, showing how cosmologists are using the laws of physics and supercomputers to uncover the secrets of why the universe looks the way it does."
£15.15
Cognella, Inc Simulation Using ProModel
Book SynopsisSimulation Using ProModel helps students build competence and confidence in the use of simulation through hands-on application. The text features a blend of theory and practice, real-life examples, case studies, and lab exercises using ProModel to help students develop their knowledge and abilities.Part I consists of 14 study chapters. The first four chapters introduce simulation, its application to system design and improvement, and how simulation works. Chapters 5 through 11 cover the practical and theoretical aspects of conducting a simulation project, including applying simulation optimization. Chapters 12 through 14 cover applications of simulation to manufacturing, material handling, and service systems. Part II features 14 labs that correlate with the 14 chapters in Part I. Each lab guides students through the steps of modeling a situation using ProModel and then provides exercises to further develop their skills.
£162.45
Packt Publishing Limited Data Modeling with Tableau: A practical guide to
Book SynopsisSave time analyzing volumes of data using best practices to extract, model, and create insights from your dataKey Features Master best practices in data modeling with Tableau Prep Builder and Tableau Desktop Apply Tableau Server and Cloud to create and extend data models Build organizational data models based on data and content governance best practices Book DescriptionTableau is unlike most other BI platforms that have a single data modeling tool and enterprise data model (for example, LookML from Google's Looker). That doesn't mean Tableau doesn't have enterprise data governance; it is both robust and very flexible. This book will help you build a data-driven organization with the proper use of Tableau governance models.Data Modeling with Tableau is an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. As you progress through the chapters, you will learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. You'll also explore the components of Tableau Server and Cloud that make data modeling more robust, secure, and performant. Moreover, by extending data models for Ask and Explain Data, you'll gain the knowledge required to extend analytics to more people in their organizations, leading to better data-driven decisions. Finally, this book will get into the entire Tableau stack and get the techniques required to build the right level of governance into Tableau data models for the right use cases.By the end of this Tableau book, you'll have a firm understanding of how to leverage data modeling in Tableau to benefit your organization.What you will learn Showcase Tableau published data sources and embedded connections Apply Ask Data in data cataloging and natural language query Exhibit features of Tableau Prep Builder with hands-on exercises Model data with Tableau Desktop through examples Formulate a governed data strategy using Tableau Server and Cloud Optimize data models for Ask and Explain Data Who this book is forThis book is for data analysts and business analysts who are looking to expand their data skills, offering a broad foundation to build better data models in Tableau for easier analysis and better query performance.It will also benefit individuals responsible for making trusted and secure data available to their organization through Tableau, such as data stewards and others who work to take enterprise data and make it more accessible to business analysts.Table of ContentsTable of Contents Introducing Data Modeling in Tableau Licensing Considerations and Types of Data Models Data Preparation with Tableau Prep Builder Data Modeling Functions with Tableau Prep Builder Advanced Modeling Functions in Tableau Prep Builder Data Output from Tableau Prep Builder Connecting to Data in Tableau Desktop Building Data Models Using Relationships Building Data Models at the Physical Level Sharing and Extending Tableau Data Models Securing Data Data Modeling Considerations for Ask Data and Explain Data Data Management with Tableau Prep Conductor Scheduling Extract Refreshes Data Modeling Strategies by Audience and Use Case
£25.49
University of Exeter Press World War Two Simulated: Digital Games and
Book SynopsisThis book examines how World War Two is simulated through serious computer games, such as first-person shooters, flight and tank simulators, and grand strategy games. It argues that a particular dynamic emerges in these ‘simgames’, especially when curious players begin to look beyond gameplay for how to understand the past. This points them toward a wide range of ‘simtexts’—anything from game manuals or online resources such as YouTube, to published material in the popular sphere or even monographs by professional historians. This is important because major events like World War Two continue to feature in a wide range of game genres, and this engagement demonstrates how we are learning about the past outside of traditional mechanisms such as classrooms, teachers or textbooks. Utilizing interdisciplinary methods, this volume foregrounds the experience that simgames provide to players, especially in how they reconfigure and reimagine history. Despite its visceral power and instructive potential, the simulated digital experience created by simgames curates World War Two and other global events of similar magnitude within constrained frames that ignore much of what actually happened in the past. This suggests that as computer games continue to increase in power and fidelity—as seen with the expanding scope of virtual reality—then the range of what can be simulated will grow too. This will raise concerns about what is morally acceptable to be simulated, and what should remain unplayable.
£76.00
Key Publishing Ltd Microsoft Flight Sim Yearbook
Book Synopsis
£9.49
Royal Society of Chemistry NMR Spectroscopic Parameters
Book Synopsis
£198.55
Channel View Publications Ltd Modelling and Simulations for Tourism and
Book SynopsisThis book aims to shed light on the use of various modelling tools and simulation techniques in the domains of tourism and hospitality. It offers an essential introduction to the most popular methods used for modelling and simulating systems and phenomena of interest, and an overview of these techniques and methods. The main concept of each technique and method is examined and case studies and links to free online tutorials and other helpful resources are provided. The volume aims to encourage students, researchers and practitioners in tourism and hospitality to enhance and enrich their toolbox in order to achieve a better and more profound knowledge of their field.Trade ReviewI really enjoyed this book, which combines basic information on systems theory and tourism systems with more advanced ideas related to networks, network analysis and agent-based modeling. It brings together theory with helpful practical advice and is an important reference for those working in tourism. * Daniel R. Fesenmaier, Modul University Vienna, Austria *A very critical, engaging and timely text on the complexity and dynamics of systems and modelling in the domain of tourism. Authored by two highly critical thinkers, the depth, methodological rigor and case diversity included within make for a challenging yet interesting read on an expanding area of research significance. * Alan Fyall, University of Central Florida, USA *This book communicates the science and art of modelling in a way that will inspire many to adopt system-level perspectives and explore alternative research approaches. The application examples at the end of the book are especially helpful as they illustrate not only the usefulness of different modelling strategies but also the importance of methodological choices. * Ulrike Gretzel, University of Southern California, USA *Whether you are a scholar, a student, a professional, a decision-maker, a practitioner or a tourism manager, this is a must-have book in your toolbox; it is a book that should be read by everyone involved in research in the field of tourism, but it would also be an excellent choice of textbook in any tourism course. -- Luisa Mich, University of Trento, Italy * Information Technology & Tourism, 2020 *This book is...a well-written peer-reviewed text which provides postgraduate students, researchers and indeed practitioners with valuable insights on the role and benefits of modelling and simulation in the analysis, explanation and (possibly) prediction of complex adaptive systems such as tourism and hospitality [...] a must-have academic reference textbook for any university library. -- Iride Azara, University of Derby, UK * Current Issues in Tourism, 2020 *Table of ContentsIntroduction Chapter 1. Systems and Tourism Systems Chapter 2. Models and Modelling Chapter 3. Methodological Approaches Chapter 4. Advanced Modelling Methods Chapter 5. Choosing a Modelling Method Chapter 6: Tourism and Hospitality Case Studies
£23.70
Channel View Publications Ltd Modelling and Simulations for Tourism and
Book SynopsisThis book aims to shed light on the use of various modelling tools and simulation techniques in the domains of tourism and hospitality. It offers an essential introduction to the most popular methods used for modelling and simulating systems and phenomena of interest, and an overview of these techniques and methods. The main concept of each technique and method is examined and case studies and links to free online tutorials and other helpful resources are provided. The volume aims to encourage students, researchers and practitioners in tourism and hospitality to enhance and enrich their toolbox in order to achieve a better and more profound knowledge of their field.Trade ReviewI really enjoyed this book, which combines basic information on systems theory and tourism systems with more advanced ideas related to networks, network analysis and agent-based modeling. It brings together theory with helpful practical advice and is an important reference for those working in tourism. * Daniel R. Fesenmaier, Modul University Vienna, Austria *A very critical, engaging and timely text on the complexity and dynamics of systems and modelling in the domain of tourism. Authored by two highly critical thinkers, the depth, methodological rigor and case diversity included within make for a challenging yet interesting read on an expanding area of research significance. * Alan Fyall, University of Central Florida, USA *This book communicates the science and art of modelling in a way that will inspire many to adopt system-level perspectives and explore alternative research approaches. The application examples at the end of the book are especially helpful as they illustrate not only the usefulness of different modelling strategies but also the importance of methodological choices. * Ulrike Gretzel, University of Southern California, USA *Whether you are a scholar, a student, a professional, a decision-maker, a practitioner or a tourism manager, this is a must-have book in your toolbox; it is a book that should be read by everyone involved in research in the field of tourism, but it would also be an excellent choice of textbook in any tourism course. -- Luisa Mich, University of Trento, Italy * Information Technology & Tourism, 2020 *This book is...a well-written peer-reviewed text which provides postgraduate students, researchers and indeed practitioners with valuable insights on the role and benefits of modelling and simulation in the analysis, explanation and (possibly) prediction of complex adaptive systems such as tourism and hospitality [...] a must-have academic reference textbook for any university library. -- Iride Azara, University of Derby, UK * Current Issues in Tourism, 2020 *Table of ContentsIntroduction Chapter 1. Systems and Tourism Systems Chapter 2. Models and Modelling Chapter 3. Methodological Approaches Chapter 4. Advanced Modelling Methods Chapter 5. Choosing a Modelling Method Chapter 6: Tourism and Hospitality Case Studies
£80.96
Springer London Ltd Robotics: Modelling, Planning and Control
Book SynopsisThe classic text on robot manipulators now covers visual control, motion planning and mobile robots too!Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.Trade ReviewRobotics: Modelling, Planning and Control is a book that comprehensively covers all aspects of robotic fundamentals. It is particularly an excellent text for graduate educators, as it covers the fundamentals of the field with a rigorous formalism that is well blended with the technological aspects of robotics. The text covers in detail the theory of manipulators and wheeled robots starting with kinematics, dynamics and motion control, as well interaction with the environment through perception - force and vision sensors. The book is written by technical authorities in the field, and will be in invaluable addition to graduate education as well as a useful guide for industrial practitioners. Alexander Zelinsky, CSIRO, Australia Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. This book is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for a first year graduate course in robotics. Vijay Kumar, University of Pennsylvania This book provides rock-solid foundations for the study of classical mechanics and control of robots, with the authoritative character of a reference where you can surely find the correct expression and the rigorous derivation of the results you need. On top of this, new chapters on motion planning, visual servoing, and mobile robot control provide support to teaching wider and more interdisciplinary aspects of robotics, and open up vistas that will certainly inspire a new generation of scholars to embrace this incredibly rich and fertile research field. Antonio Bicchi, University of Pisa, Italy This book offers a well-balanced and intellectually satisfying treatment of robot mechanics, planning, and control – from the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics, this book is an essential element in the library of every aspiring young robotics researcher. Frank Chongwoo Park, Seoul National University Robotics: Modeling, Planning and Control is a historiography from the materialistic view of robotics. Authors clearly explain physical and mathematical foundation to understand the most up-to-date robotics, so faithfully to bibliography and terminology in robotics. Unquestionably, the best textbook for senior students and graduate students and the closest reference book for engineers and scientists! Yoshihiko Nakamura, University of Tokyo Exceptional! A text with such a span of robotics fundamentals and advanced research in both manipulation and mobility, and a treatment that creatively balances mathematical depth and physical intuition – a fresh and certainly unique reference for researchers and engineers in the field of robotics. Oussama Khatib, Stanford University Certainly because of its youth, robotics is not always considered as a discipline as such. It is often introduced as a technological "area" integrating various aspects of mechanics, automatic control and computer science. Such a dispersed view is prejudicial for students. The book by Siciliano et al. achieves the introduction of the basic concepts in a coherent, self-contained and didactic way. In that sense, when reading Robotics: Modelling, Planning and Control the reader – from the undergraduate student to the researcher – understands that a new discipline is born, with its own foundations. Jean-Paul Laumond, LAAS-CNRSTable of ContentsKinematics.- Differential Kinematics and Statics.- Trajectory Planning.- Actuators and Sensors.- Control Architecture.- Dynamics.- Motion Control.- Force Control.- Visual Servoing.- Mobile Robots.- Motion Planning.
£80.99
ISTE Ltd and John Wiley & Sons Inc Performance Evaluation by Simulation and Analysis
Book SynopsisThis book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical modeling. An important part is dedicated to the simulation, particularly in its theoretical framework and the precautions to be taken in the implementation of the experimental procedure. These principles are illustrated by concrete examples achieved through operational simulation languages (OMNeT ++, OPNET). Presented under the complementary approach, the mathematical method is essential for the simulation. Both methodologies based largely on the theory of probability and statistics in general and particularly Markov processes, a reminder of the basic results is also available.Table of ContentsLIST OF TABLES xv LIST OF FIGURES xvii LIST OF LISTINGS xxi PREFACE xxiii CHAPTER 1. PERFORMANCE EVALUATION 1 1.1. Performance evaluation 1 1.2. Performance versus resources provisioning 3 1.2.1. Performance indicators 3 1.2.2. Resources provisioning 4 1.3. Methods of performance evaluation 4 1.3.1. Direct study 4 1.3.2. Modeling 5 1.4. Modeling 6 1.4.1. Shortcomings 6 1.4.2. Advantages 7 1.4.3. Cost of modeling 7 1.5. Types of modeling 8 1.6. Analytical modeling versus simulation 8 PART 1. SIMULATION 11 CHAPTER 2. INTRODUCTION TO SIMULATION 13 2.1. Presentation 13 2.2. Principle of discrete event simulation 15 2.2.1. Evolution of a event-driven system 15 2.2.2. Model programming 16 2.3. Relationship with mathematical modeling 18 CHAPTER 3. MODELING OF STOCHASTIC BEHAVIORS 21 3.1. Introduction 21 3.2. Identification of stochastic behavior 23 3.3. Generation of random variables 24 3.4. Generation of U(0, 1) r.v. 25 3.4.1. Importance of U(0, 1) r.v. 25 3.4.2. Von Neumann’s generator 26 3.4.3. The LCG generators 28 3.4.4. Advanced generators 31 3.4.5. Precaution and practice 33 3.5. Generation of a given distribution 35 3.5.1. Inverse transformation method 35 3.5.2. Acceptance–rejection method 36 3.5.3. Generation of discrete r.v. 38 3.5.4. Particular case 39 3.6. Some commonly used distributions and their generation 40 3.6.1. Uniform distribution 41 3.6.2. Triangular distribution 41 3.6.3. Exponential distribution 42 3.6.4. Pareto distribution 43 3.6.5. Normal distribution 44 3.6.6. Log-normal distribution 45 3.6.7. Bernoulli distribution 45 3.6.8. Binomial distribution 46 3.6.9. Geometric distribution 47 3.6.10. Poisson distribution 48 3.7. Applications to computer networks 48 CHAPTER 4. SIMULATION LANGUAGES 53 4.1. Simulation languages 53 4.1.1. Presentation 53 4.1.2. Main programming features 54 4.1.3. Choice of a simulation language 54 4.2. Scheduler 56 4.3. Generators of random variables 57 4.4. Data collection and statistics 58 4.5. Object-oriented programming 58 4.6. Description language and control language 59 4.7. Validation 59 4.7.1. Generality 59 4.7.2. Verification of predictions 60 4.7.3. Some specific and typical errors 61 4.7.4. Various tests 62 CHAPTER 5. SIMULATION RUNNING AND DATA ANALYSIS 63 5.1. Introduction 63 5.2. Outputs of a simulation 64 5.2.1. Nature of the data produced by a simulation 64 5.2.2. Stationarity 65 5.2.3. Example 66 5.2.4. Transient period 68 5.2.5. Duration of a simulation 69 5.3. Mean value estimation 70 5.3.1. Mean value of discrete variables 71 5.3.2. Mean value of continuous variables 72 5.3.3. Estimation of a proportion 72 5.3.4. Confidence interval 73 5.4. Running simulations 73 5.4.1. Replication method 73 5.4.2. Batch-means method 75 5.4.3. Regenerative method 76 5.5. Variance reduction 77 5.5.1. Common random numbers 78 5.5.2. Antithetic variates 79 5.6. Conclusion 80 CHAPTER 6. OMNET++ 81 6.1. A summary presentation 81 6.2. Installation 82 6.2.1. Preparation 82 6.2.2. Installation 83 6.3. Architecture of OMNeT++ 83 6.3.1. Simple module 84 6.3.2. Channel 85 6.3.3. Compound module 85 6.3.4. Simulation model (network) 85 6.4. The NED langage 85 6.5. The IDE of OMNeT++ 86 6.6. The project 86 6.6.1. Workspace and projects 87 6.6.2. Creation of a project 87 6.6.3. Opening and closing of a project 87 6.6.4. Import of a project 88 6.7. A first example 88 6.7.1. Creation of the modules 88 6.7.2. Compilation 92 6.7.3. Initialization 92 6.7.4. Launching of the simulation 93 6.8. Data collection and statistics 93 6.8.1. The Signal mechanism 94 6.8.2. The collectors 95 6.8.3. Extension of the model with statistics 95 6.8.4. Data analysis 98 6.9. A FIFO queue 98 6.9.1. Construction of the queue 98 6.9.2. Extension of MySource 101 6.9.3. Configuration 103 6.10. An elementary distributed system 105 6.10.1. Presentation 105 6.10.2. Coding 107 6.10.3. Modular construction of a larger system 114 6.10.4. The system 115 6.10.5. Configuration of the simulation and its scenarios 115 6.11. Building large systems: an example with INET 117 6.11.1. The system 117 6.11.2. Ethernet card with LLC 119 6.11.3. The new entity MyApp 121 6.11.4. Simulation 125 6.11.5. Conclusion 126 PART 2. QUEUEING THEORY 129 CHAPTER 7. INTRODUCTION TO THE QUEUEING THEORY 131 7.1. Presentation 131 7.2. Modeling of the computer networks 133 7.3. Description of a queue 133 7.4. Main parameters 135 7.5. Performance indicators 136 7.5.1. Usual parameters 136 7.5.2. Performance in steady state 136 7.6. The Little’s law 137 7.6.1. Presentation 137 7.6.2. Applications 138 CHAPTER 8. POISSON PROCESS 141 8.1. Definition 141 8.1.1. Definition 141 8.1.2. Distribution of a Poisson process 142 8.2. Interarrival interval 143 8.2.1. Definition 143 8.2.2. Distribution of the interarrival interval Δ 144 8.2.3. Relation between N(t) and Δ 145 8.3. Erlang distribution 145 8.4. Superposition of independent Poisson processes 146 8.5. Decomposition of a Poisson process 147 8.6. Distribution of arrival instants over a given interval 150 8.7. The PASTA property 151 CHAPTER 9. MARKOV QUEUEING SYSTEMS 153 9.1. Birth-and-death process 153 9.1.1. Definition 153 9.1.2. Differential equations 154 9.1.3. Steady-state solution 156 9.2. The M/M/1 queues 158 9.3. The M/M/∞ queues 160 9.4. The M/M/m queues 161 9.5. The M/M/1/K queues 163 9.6. The M/M/m/m queues 164 9.7. Examples 165 9.7.1. Two identical servers with different activation thresholds 165 9.7.2. A cybercafe 167 CHAPTER 10. THE M/G/1 QUEUES 169 10.1. Introduction 169 10.2. Embedded Markov chain 170 10.3. Length of the queue 171 10.3.1. Number of arrivals during a service period 172 10.3.2. Pollaczek–Khinchin formula 173 10.3.3. Examples 175 10.4. Sojourn time 178 10.5. Busy period 179 10.6. Pollaczek–Khinchin mean value formula 181 10.7. M/G/1 queue with server vacation 183 10.8. Priority queueing systems 185 CHAPTER 11. QUEUEING NETWORKS 189 11.1. Generality 189 11.2. Jackson network 192 11.3. Closed network 197 PART 3. PROBABILITY AND STATISTICS 201 CHAPTER 12. AN INTRODUCTION TO THE THEORY OF PROBABILITY 203 12.1. Axiomatic base 203 12.1.1. Introduction 203 12.1.2. Probability space 204 12.1.3. Set language versus probability language 206 12.2. Conditional probability 206 12.2.1. Definition 206 12.2.2. Law of total probability 207 12.3. Independence 207 12.4. Random variables 208 12.4.1. Definition 208 12.4.2. Cumulative distribution function 208 12.4.3. Discrete random variables 209 12.4.4. Continuous random variables 210 12.4.5. Characteristic function 212 12.5. Some common distributions 212 12.5.1. Bernoulli distribution 212 12.5.2. Binomial distribution 213 12.5.3. Poisson distribution 213 12.5.4. Geometric distribution 214 12.5.5. Uniform distribution 215 12.5.6. Triangular distribution 215 12.5.7. Exponential distribution 216 12.5.8. Normal distribution 217 12.5.9. Log-normal distribution 219 12.5.10. Pareto distribution 219 12.6. Joint probability distribution of multiple random variables 220 12.6.1. Definition 220 12.6.2. Independence and covariance 221 12.6.3. Mathematical expectation 221 12.7. Some interesting inequalities 222 12.7.1. Markov’s inequality 222 12.7.2. Chebyshev’s inequality 222 12.7.3. Cantelli’s inequality 223 12.8. Convergences 223 12.8.1. Types of convergence 224 12.8.2. Law of large numbers 226 12.8.3. Central limit theorem 227 CHAPTER 13. AN INTRODUCTION TO STATISTICS 229 13.1. Introduction 229 13.2. Description of a sample 230 13.2.1. Graphic representation 230 13.2.2. Mean and variance of a given sample 231 13.2.3. Median 231 13.2.4. Extremities and quartiles 232 13.2.5. Mode and symmetry 232 13.2.6. Empirical cumulative distribution function and histogram 233 13.3. Parameters estimation 236 13.3.1. Position of the problem 236 13.3.2. Estimators 236 13.3.3. Sample mean and sample variance 237 13.3.4. Maximum-likelihood estimation 237 13.3.5. Method of moments 239 13.3.6. Confidence interval 240 13.4. Hypothesis testing 241 13.4.1. Introduction 241 13.4.2. Chi-square (χ2) test 241 13.4.3. Kolmogorov–Smirnov test 244 13.4.4. Comparison between the χ2 test and the K-S test 246 CHAPTER 14. MARKOV PROCESS 247 14.1. Stochastic process 247 14.2. Discrete-time Markov chains 248 14.2.1. Definitions 248 14.2.2. Properties 251 14.2.3. Transition diagram 253 14.2.4. Classification of states 254 14.2.5. Stationarity 255 14.2.6. Applications 257 14.3. Continuous-time Markov chain 260 14.3.1. Definitions 260 14.3.2. Properties 262 14.3.3. Structure of a Markov process 263 14.3.4. Generators 266 14.3.5. Stationarity 267 14.3.6. Transition diagram 270 14.3.7. Applications 272 BIBLIOGRAPHY 273 INDEX 277
£125.06
ISTE Ltd and John Wiley & Sons Inc Analytical Modeling of Wireless Communication
Book SynopsisWireless networks represent an inexpensive and convenient way to connect to the Internet. However, despite their applications across several technologies, one challenge still remains: to understand the behavior of wireless sensor networks and assess their performance in large-scale scenarios. When a large number of network nodes need to interact, developing suitable analytical models is essential to ensure the appropriate coverage and throughput of these networks and to enhance user mobility. This is intrinsically difficult due to the size and number of different network nodes and users. This book highlights some examples which show how this problem can be overcome with the use of different techniques. An intensive parameter analysis shows the reader how to the exploit analytical models for an effective development and management of different types of wireless networks.Table of ContentsPreface ix Introduction xi List of Acronyms xv Part 1. Sensor Networks 1 Chapter 1. Fluid Models and Energy Issues 3 1.1. The fluid-based approach 4 1.1.1. Sensor density and traffic generation 5 1.1.2. Data routing 5 1.1.3. Local and relay traffic rates 6 1.1.4. Channel contention and data transmission 6 1.1.5. Mean packet delivery delay 7 1.1.6. Sensor active/sleep behavior 7 1.2. Network scenario 7 1.3. The sensor network model 11 1.3.1. A minimum energy routing strategy: computing u(r:r) 11 1.3.2. Channel contention and data transmission: computing s(r) and PR(r) 17 1.3.3. Mean packet delivery delay: computing q(r) 22 1.4. Results 24 1.4.1. Model validation 25 1.4.2. Model exploitation 28 1.4.3. Model solution complexity and accuracy 35 Chapter 2. Hybrid Automata for Transient Delay Analysis 37 2.1. Event detection in WSNs 37 2.1.1. The 802.15.4 MAC protocol 39 2.2. Model for single-hop network topologies 40 2.2.1. Single message transfer 40 2.2.2. Multiple message transfers 43 2.3. Solution technique 44 2.3.1. Time discretization 44 2.3.2. Transient solution 46 2.3.3. Performance metrics computation 49 2.4. Model for multi-hop network topologies 50 2.5. Model validation and exploitation results 52 2.6. Discussion 57 Part 2. Vehicular Networks 59 Chapter 3. Safety Message Broadcasting 61 3.1. System description 62 3.2. Dissemination of safety messages 63 3.2.1. The spatial differentiation approach 63 3.2.2. The safety application 64 3.3. Assumptions and notations 65 3.4. Model outline 66 3.5. Computation of the block probability 67 3.6. Computation of the probability of first reception 69 3.6.1. A Gaussian approximation to the transient system behavior 73 3.7. Performance evaluation 77 3.7.1. The impact of power capture 77 3.7.2. The case of occupation probability ρ = 1 79 3.7.3. The case of homogeneous occupation probability ρ < 1 80 3.7.4. The case of inhomogeneous occupation probability 83 3.7.5. The impact of the forwarding policy 85 Chapter 4. Modeling Information Sharing 89 4.1. System scenario 89 4.2. Modeling information exchange in IVN 90 4.2.1. Model description 91 4.3. Computation of the probability of successful information retrieval 93 4.4. Model validation and exploitation 98 Part 3. Cellular Networks 103 Chapter 5. Multi-RAT Algorithms 105 5.1. RAT network 106 5.1.1. Scenario 107 5.1.2. RAT selection strategy 108 5.2. Network model 109 5.2.1. Functional rates 110 5.3. Model solution 115 5.3.1. Analytical approach 115 5.3.2. Computation of performance metrics 117 5.4. Performance evaluation 118 5.4.1. Setting and results 119 Bibliography 123 Index 127
£125.06
ISTE Ltd and John Wiley & Sons Inc Mathematics for Modeling and Scientific Computing
Book SynopsisThis book provides the mathematical basis for investigating numerically equations from physics, life sciences or engineering. Tools for analysis and algorithms are confronted to a large set of relevant examples that show the difficulties and the limitations of the most naïve approaches. These examples not only provide the opportunity to put into practice mathematical statements, but modeling issues are also addressed in detail, through the mathematical perspective.Table of ContentsPreface ix Chapter 1. Ordinary Differential Equations 1 1.1. Introduction to the theory of ordinary differential equations 1 1.1.1. Existence–uniqueness of first-order ordinary differential equations 1 1.1.2. The concept of maximal solution 11 1.1.3. Linear systems with constant coefficients 16 1.1.4. Higher-order differential equations 20 1.1.5. Inverse function theorem and implicit function theorem 21 1.2. Numerical simulation of ordinary differential equations, Euler schemes, notions of convergence, consistence and stability 27 1.2.1. Introduction 27 1.2.2. Fundamental notions for the analysis of numerical ODE methods 29 1.2.3. Analysis of explicit and implicit Euler schemes 33 1.2.4. Higher-order schemes 50 1.2.5. Leslie’s equation (Perron–Frobenius theorem, power method) 51 1.2.6. Modeling red blood cell agglomeration 78 1.2.7. SEI model 87 1.2.8. A chemotaxis problem 93 1.3. Hamiltonian problems 102 1.3.1. The pendulum problem 106 1.3.2. Symplectic matrices; symplectic schemes 112 1.3.3. Kepler problem 125 1.3.4. Numerical results 129 Chapter 2. Numerical Simulation of Stationary Partial Differential Equations: Elliptic Problems 141 2.1. Introduction 141 2.1.1. The 1D model problem; elements of modeling and analysis 144 2.1.2. A radiative transfer problem 155 2.1.3. Analysis elements for multidimensional problems 163 2.2. Finite difference approximations to elliptic equations 166 2.2.1. Finite difference discretization principles 166 2.2.2. Analysis of the discrete problem 173 2.3. Finite volume approximation of elliptic equations 180 2.3.1. Discretization principles for finite volumes 180 2.3.2. Discontinuous coefficients 187 2.3.3. Multidimensional problems 189 2.4. Finite element approximations of elliptic equations 191 2.4.1. P1 approximation in one dimension 191 2.4.2. P2 approximations in one dimension 197 2.4.3. Finite element methods, extension to higher dimensions 200 2.5. Numerical comparison of FD, FV and FE methods 204 2.6. Spectral methods 205 2.7. Poisson–Boltzmann equation; minimization of a convex function, gradient descent algorithm 217 2.8. Neumann conditions: the optimization perspective 224 2.9. Charge distribution on a cord 228 2.10. Stokes problem 235 Chapter 3. Numerical Simulations of Partial Differential Equations: Time-dependent Problems 267 3.1. Diffusion equations 267 3.1.1. L2 stability (von Neumann analysis) and L∞ stability: convergence 269 3.1.2. Implicit schemes 276 3.1.3. Finite element discretization 281 3.1.4. Numerical illustrations 283 3.2. From transport equations towards conservation laws 291 3.2.1. Introduction 291 3.2.2. Transport equation: method of characteristics 295 3.2.3. Upwinding principles: upwind scheme 299 3.2.4. Linear transport at constant speed; analysis of FD and FV schemes 301 3.2.5. Two-dimensional simulations 326 3.2.6. The dynamics of prion proliferation 329 3.3. Wave equation 345 3.4. Nonlinear problems: conservation laws 354 3.4.1. Scalar conservation laws 354 3.4.2. Systems of conservation laws 387 3.4.3. Kinetic schemes 393 Appendices 407 Appendix 1 409 Appendix 2 417 Appendix 3 427 Appendix 4 433 Appendix 5 443 Bibliography 447 Index 455
£125.06
Springer London Ltd Robotics: Modelling, Planning and Control
Book SynopsisThe classic text on robot manipulators now covers visual control, motion planning and mobile robots too!Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.Trade ReviewRobotics: Modelling, Planning and Control is a book that comprehensively covers all aspects of robotic fundamentals. It is particularly an excellent text for graduate educators, as it covers the fundamentals of the field with a rigorous formalism that is well blended with the technological aspects of robotics. The text covers in detail the theory of manipulators and wheeled robots starting with kinematics, dynamics and motion control, as well interaction with the environment through perception - force and vision sensors. The book is written by technical authorities in the field, and will be in invaluable addition to graduate education as well as a useful guide for industrial practitioners. Alexander Zelinsky, CSIRO, Australia Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. This book is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for a first year graduate course in robotics. Vijay Kumar, University of Pennsylvania This book provides rock-solid foundations for the study of classical mechanics and control of robots, with the authoritative character of a reference where you can surely find the correct expression and the rigorous derivation of the results you need. On top of this, new chapters on motion planning, visual servoing, and mobile robot control provide support to teaching wider and more interdisciplinary aspects of robotics, and open up vistas that will certainly inspire a new generation of scholars to embrace this incredibly rich and fertile research field. Antonio Bicchi, University of Pisa, Italy This book offers a well-balanced and intellectually satisfying treatment of robot mechanics, planning, and control – from the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics, this book is an essential element in the library of every aspiring young robotics researcher. Frank Chongwoo Park, Seoul National University Robotics: Modeling, Planning and Control is a historiography from the materialistic view of robotics. Authors clearly explain physical and mathematical foundation to understand the most up-to-date robotics, so faithfully to bibliography and terminology in robotics. Unquestionably, the best textbook for senior students and graduate students and the closest reference book for engineers and scientists! Yoshihiko Nakamura, University of Tokyo Exceptional! A text with such a span of robotics fundamentals and advanced research in both manipulation and mobility, and a treatment that creatively balances mathematical depth and physical intuition – a fresh and certainly unique reference for researchers and engineers in the field of robotics. Oussama Khatib, Stanford University Certainly because of its youth, robotics is not always considered as a discipline as such. It is often introduced as a technological "area" integrating various aspects of mechanics, automatic control and computer science. Such a dispersed view is prejudicial for students. The book by Siciliano et al. achieves the introduction of the basic concepts in a coherent, self-contained and didactic way. In that sense, when reading Robotics: Modelling, Planning and Control the reader – from the undergraduate student to the researcher – understands that a new discipline is born, with its own foundations. Jean-Paul Laumond, LAAS-CNRSTable of ContentsKinematics.- Differential Kinematics and Statics.- Trajectory Planning.- Actuators and Sensors.- Control Architecture.- Dynamics.- Motion Control.- Force Control.- Visual Servoing.- Mobile Robots.- Motion Planning.
£66.49
Columbia Books on Architecture and the City Signal. Image. Architecture.
Book SynopsisArchitecture is immersed in an immense cultural experiment called imaging. Yet the technical status and nature of that imaging must be reevaluated. What happens to the architectural mind when it stops pretending that electronic images of drawings made by computers are drawings? When it finally admits that imaging is not drawing, but is instead something that has already obliterated drawing? These are questions that, in general, architecture has scarcely begun to pose, imagining that somehow its ideas and practices can resist the culture of imaging in which the rest of life now either swims or drowns. To patiently describe the world to oneself is to prepare the ground for an as yet unavailable politics. New descriptions can, under the right circumstances, be made to serve as the raw substrate for political impulses that cannot yet be expressed or lived, because their preconditions have not been arranged and articulated. Signal. Image. Architecture. aims to clarify the status of computational images in contemporary architectural thought and practice by showing what happens if the technical basis of architecture is examined very closely, if its technical terms and concepts are taken very seriously, at times even literally. It is not a theory of architectural images, but rather a brief philosophical description of architecture after imaging.Trade ReviewSignal. Image. Architecture. is a significant intervention into discussions of both the “image” and the “digital” in architecture and urbanism. John May poses questions about the novel forms of actuarial and statistical life and about the new modalities of territory and governmentality emerging today through imaging infrastructures. As we turn to AI, big data, and predictive analytics, our actions and our gestures are increasingly tied to the training of machines, and we are left asking what representation, gesture, and inscription can still do. This book radically breaks from debates about when architecture became digital or what the digital is. It instead speculates on the aesthetic and political stakes of our imaging practices in design and offers a manifesto for future potentialities. -- Orit Halpern, Concordia UniversityJohn May’s Signal. Image. Architecture. puts a philosophical lens on the practices of design. By keeping instruments front and center, he pries apart writing, images, and photographs and drives us to focus on the disciplined conduct of each. Front and center: he zeroes in on the everyday and the highly technical forms of making, processing, and sending design. Throughout this fascinating study, May joins theory with concrete practice and, in so doing, remakes familiar elements of the design world into fascinating, urgent objects of our present. -- Peter Galison, Harvard UniversityJohn May is an architect who theorizes and a theorist who designs, and both with a philosophical and historical sensibility that frames his understanding of the fluid conditions that shape present architectural practice. Drawing from anthropology, media theory, science and technology studies, and histories and theories of vision and cybernetics, he has produced an archaeology of our deepening immersion into the technics of electronic images over the past three decades, and a “pathographic manifesto” of the hidden political dimensions of contemporary image consciousness. This book will resonate well beyond architecture to any field concerned with cultural production, even as it asserts architecture’s centrality in a world now defined by the endless circulation of electronic images. -- K. Michael Hays, Harvard Graduate School of Design
£14.24
Oro Editions Blue Papers: Researches on Digitational
Book SynopsisDuring the last 30 years, the use of digital technologies in architecture has exponentially increased. New computational tools and methods are significantly changing the way we design and perform our buildings. In addition to that, the advancement in the field of digital fabrication and robotics is giving life to new automated systems, able to promote new integrative and co-evolutionary approaches which are moving the construction industry towards more efficient and sustainable processes. Although the integration of computation and robotics in architectural design and construction is becoming a central aspect in contemporary architectural practice, the definition of “digital architecture” coming from such technological advancement is still very problematic. For someone, digital architecture is a sum of technological tools; for others, a system of advanced methods. In both cases, the understanding of digital architecture is still far from its completion, and such a delay of understanding represents a significant part of the confusing and slippery territory in which digital architecture is currently developed. This book analyses the current digital evolution of architecture through a series of considerations related to several aspects of the ongoing digital era, ranging from the problem of authorship and human creativity in computational design to notions related to architectural pedagogy, professional practice and robotic construction.
£16.11
Wolters Kluwer Health A Practical Guide for Nurse Practitioner Faculty
Book SynopsisAuthored by expert simulation researchers, educators, nurse practitioner faculty, and clinicians, A Practical Guide for Nurse Practitioner Faculty Using Simulation in Competency-Based Education looks at topics related to simulation design, development, and implementation for nurse practitioner and other graduate-level nursing programs. The new educational requirements based on the AACN Essentials and move to competency-based outcomes require nursing graduates to provide documented skill competencies to care for all types of patients in all types of diverse healthcare settings. Whether a graduate is working in acute care, primary care, or within the community, clinical simulations serve as a vital approach to creating student-centered, experiential learning that engages and prepares the graduate for real-world practice. Once the exception, clinical simulations are becoming more commonplace in nurse practitioner programs. This book supports nurse practitioner faculty as they learn new pedagogy and teaching strategies using clinical simulations. It focuses on developing and preparing nurse educators and superusers of simulations as they create, implement, and evaluate this pedagogy in nurse practitioner education. Table of Contents CHAPTER 1 State of the Science of Clinical Simulations in NP Education CHAPTER 2 Theoretical Frameworks for Simulation Design, Development, and Implementation CHAPTER 3 Competency-Based Nursing Education CHAPTER 4 Student-Centered Learning in NP Education CHAPTER 5 Integration of Simulation in the NP Curriculum CHAPTER 6 Healthcare Simulation Standards of Best Practice™ and Nurse Practitioner Education CHAPTER 7 Attainment of Competency Through Simulation: The ACTS Model CHAPTER 8 Simulation Operations CHAPTER 9 Methods and Models for Debriefing in Graduate Clinical Education CHAPTER 10 Working with Standardized and Simulated Patients CHAPTER 11 Assessment and Evaluations in Simulation CHAPTER 12 Simulation to Prepare Nurse Practitioner Students for Role Transition CHAPTER 13 The Future of Graduate Nurse Practitioner Education: A Case for Simulation
£37.99
Springer Nature Switzerland AG Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences
Book SynopsisThis open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.Table of ContentsPart I Agent-Based Models: 1 Introduction.- 2 Simulation and Artificial Life.- 3 Making the Artificial Real.- 4 Modelling in Population Biology.- Part II Modelling Social Systems: 5 Modelling for the Social Sciences.- 6 Analysis: Frameworks and Theories.- 7 Schelling: A Success for Simplicity.- 8 Conclusions Part III Case Study: Simulation in Demography.- 9 Modelling in Demography: From Statistics to Simulations.- 10 Model-Based Demography in Practice: I.- 11 Model-Based Demography in Practice: II.- 12 Conclusions.
£40.49
Springer Nature Switzerland AG Comprehensive Healthcare Simulation: Operations,
Book SynopsisThis practical guide provides a focus on the implementation of healthcare simulation operations, as well as the type of professional staff required for developing effective programs in this field. Though there is no single avenue in which a person pursues the career of a healthcare simulation technology specialist (HSTS), this book outlines the extensive knowledge and variety of skills one must cultivate to be effective in this role. This book begins with an introduction to healthcare simulation, including personnel, curriculum, and physical space. Subsequent chapters address eight knowledge/skill domains core to the essential aspects of an HSTS. To conclude, best practices and innovations are provided, and the benefits of developing a collaborative relationship with industry stakeholders are discussed. Expertly written text throughout the book is supplemented with dozens of high-quality color illustrations, photographs, and tables. Written and edited by leaders in the field, Comprehensive Healthcare Simulation: Operations, Technology, and Innovative Practice is optimized for a variety of learners, including healthcare educators, simulation directors, as well as those looking to pursue a career in simulation operations as healthcare simulation technology specialists. Trade Review“The book sometimes states very basic facts, like ‘Those applying for new positions should still create a professional-looking resume, free from spelling mistakes or other grammatical errors.’ Sections like this make the book easy to skim in search of the nuggets of information that would be most helpful to a physician interested in knowing more about health care simulation.” (Lara Zisblatt, Anesthesia & Analgesia, Vol. 131 (2), August, 2020)“Although the book is written for healthcare simulation technology specialists, it is comprehensive enough to be of benefit to anyone involved in simulation, from any background. ... This is a valuable resource for anyone in simulation. It offers enough detail to be highly useful for healthcare simulation technology specialists as a learning tool or as a guide.” (Ellen Luebbers, Doody's Book Reviews, December 7, 2019)Table of ContentsSection I: Intro to Healthcare Simulation Chapter 1: History of Simulation Chapter 2: Types of Healthcare Simulation: Locations and Training – Who, What & Where? Chapter 3: Simulation Methodologies Chapter 4: Simulation Center Personnel Chapter 5: Finding the Right Simulation Personnel Chapter 6: Professional Development for the Healthcare Simulation Technology Specialist Chapter 7: Simulation Curriculum Development, Integration and Operations Chapter 8: The Research Process Chapter 9: Infrastructure and Simulation Center Design Section II: Simulation Specialists and Healthcare Simulation Chapter 10: Healthcare Simulation Technology Specialists Chapter 11: The Healthcare Simulation Technology Specialist and Audio/Video Technology Chapter 12: The Healthcare Simulation Technology Specialist and Educational Constructs in Simulation Chapter 13: The Healthcare Simulation Technology Specialist and Healthcare Chapter 14: The Healthcare Simulation Technology Specialist and Information Technology Chapter 15: The Healthcare Simulation Technology Specialist and Management Chapter 16: The Healthcare Simulation Technology Specialist and Research Chapter 17: The Healthcare Simulation Technology Specialist and Simulation Chapter 18: The Healthcare Simulation Technology Specialist and Standardized Patients Section III: Extra Information Chapter 19: Technology and Innovation Chapter 20: Common and Best Practices for Do-It-Yourself Enhancements Chapter 21: Role and Goal of Industry in Education and Patient Safety
£75.99
Springer Nature Switzerland AG From Building Information Modelling to Mixed
Book SynopsisThis book reports on the latest advances in using BIM modelling to achieve the semantic enrichment of objects, allowing them to be used both as multidimensional databases – as comprehensive sources of information for finalizing various types of documentation in the building industry – and as modelling tools for the construction of virtual environments. Having advanced to a new stage of development, BIM modelling is now being applied in a range of increasingly complex contexts, and for various new purposes. This book examines the role that virtual reality and related technologies such as AI and IoT can play in preserving and disseminating our cultural heritage and built environment.
£170.99
Springer Sustaining Forest Ecosystems
£56.99
Springer Nature Switzerland AG Handbook of Dynamic Data Driven Applications
Book SynopsisThe Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue UniversityTrade ReviewThe Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University Table of Contents1 Introduction to Dynamic Data Driven Applications Systems.- 2 Tractable Non-Gaussian Representation in Dynamic Data Driven Coherent Fluid Mapping.- 3 Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems.- 4 Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness.- 5 Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics.- 6 Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.- 7 Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process.- 8 A Computational Steering Framework for Large-Scale Composite Structures.- 9 Development of Intelligent and Predictive Self-Healing Composite Structures using Dynamic Data-Driven Applications Systems.- 10 Dynamic Data-Driven Approach for Unmanned Aircraft Systems aero-elastic response analysis.- 11 Transforming Wildfire Detection and Prediction using New and Underused Sensor and Data Sources Integrated with Modeling.- 12 Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation.- 13 Photometric Steropsis for 3D Reconstruction of Space Objects.- 14 Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations.- 15 Optimization of Multi-Target Tracking within a Sensor Network via Information Guided Clustering.- 16 Data-Driven Prediction of Confidence for EVAR in Time-varying Datasets.- 17 DDDAS for Attack Detection and Isolation of Control Systems.- 18 Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning.- 19 Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field.- 20 Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction.- 21 A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids.- 22 Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods.- 23 Design of a Dynamic Data-Driven System for Multispectral Video Processing.- 24 Light Field Image Compression.- 25 On Compression of Machine-derived Context Sets for Fusion of Multi-model Sensor Data.- 26 Simulation-based Optimization as a Service for Dynamic Data-driven Applications Systems.- 27 Privacy and Security Issues in DDDAS Systems.- 28 Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis.- 29 Parzen Windows: Simplest Regularization Algorithm.- 30 Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures.- 31 A Dynamic Data-Driven Stochastic State-awareness Framework for the Next Generation of Bio-inspired Fly-by-feel Aerospace Vehicles.- DDDAS: The Way Forward.
£189.99
Springer Nature Switzerland AG Introduction to Python in Earth Science Data
Book SynopsisThis textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.Table of ContentsPart I Python for Geologists, a kick-off; 1. Setting Up Your Python Environment, Easily; 2. Python Essentials for a Geologist; 3. Start Solving Geological Problems Using Python; Part II Describing Geological Data; 4. Graphical Visualization of a Geological Dataset; 5. Descriptive Statistics; Part III Integrals and Differential Equations in Geology; 6. Numerical Integration; 7. Ordinary Differential Equations (ODE); 8. Partial Differential Equations (PDE); Part IV Probability Density Functions and Error Analysis; 9. Probability Density Functions and their Use in Geology; 10. Error Analysis; Part V Robust Statistics and Machine Learning; 11. Introduction to Robust Statistics; 12. Machine Learning;
£49.49
