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• Chapter 1: Introduction
• Chapter 2: Modelling
• Chapter 3: Introduction to the notation
• Chapter 4: UML diagrams
• Chapter 5: Essential elements for EA
• Chapter 6: Requirements modelling for EAs
• Chapter 7: Enterprise architecture case study
• Chapter 8: Example frameworks Appendices.
• (source: Nielsen Book Data)

For any organisation to be successful in an increasingly competitive and global working environment, it is essential that there is a clear understanding of all aspects of the business. Given that no two organisations are exactly alike, there is no definitive understanding of exactly what these aspects are as they will depend on the organisation's nature, size and so on. Some of the aspects of the business that must be considered include: process models, process descriptions, competencies, standards, methodologies, infrastructure, people and business goals. It is important that these different aspects of the business are not only understood, but also that they are consistent and congruent with one another. The creation of an effective Enterprise Architecture (EA) provides a means by which an organisation can obtain such an understanding. This book looks at the practical needs of creating and maintaining an effective EA within a twenty-first-century business through the use of pragmatic modelling. The book introduces the concepts behind enterprise architectures, teaches the modelling notation needed to effectively realise an enterprise architecture and explores the concepts more fully through a real-life enterprise architecture.
(source: Nielsen Book Data)

• Machine generated contents note: Ch. 1 Introduction
• Ch. 2 role of mediated modeling
• Ch. 3 mediated modeling process
• Ch. 4 Conducting a mediated modeling process
• Ch. 5 Decision support for watershed management in the Upper Fox River Basin, Wisconsin, U.S.A.
• Ch. 6 Using mediated modeling to facilitate collaborative learning among residents of the San Antonio Watershed, Texas, U.S.A.
• Ch. 7 Future planning : Banff National Park
• Ch. 8 Sage grouse populations in southeastern Idaho, U.S.A. : effect of sheep grazing and fire
• Ch. 9 Decision support in coastal zone management in the Ria Formosa, Portugal
• Ch. 10 Lessons learned
• App. 1 Comparison of the case studies
• App. 2 Contact information; system dynamics modeling software
• App. 3 Ranked participant statements from the Upper Fox "after" questionnaire
• App. 4 Full answers to the Upper Fox "after" survey
• App. 5 Participant rating of the Upper Fox model perameters
• App. 6 Ria Formosa model : structure and equations
• App. 7 Particpant rating of Ria Formosa model parameters
• App. 8 Assumptions for Banff-Bow Valley study futures model indicators
• App. 9 Symbol definition and mathematical algorithms for all model components in the Banff-Bow Valley study futures model
• App. 10 example to illustrate the software.

'Mediated Modeling' is an approach to participatory environmental decision-making. It uses system dynamics models in a public setting to enable participants to learn about and see the consequences of various possible decision paths for their communities and ecosystems.
(source: Nielsen Book Data)

• Introduction-- Development of Mass, Energy and Momentum Balances-- Steady-State Lumped Systems-- Unsteady-State Lumped Systems-- Reaction-Kinetic Systems-- Vapour-Liquid Equilibrium Operations-- Microscopic Balances-- Solution of Split Boundary-Value Problems-- Solution of Partial Differential Equations-- Nomenclature-- Appendices-- Analytical Solutions to Ordinary Differential Equations
• IMSL Routines-- Index.
• (source: Nielsen Book Data)

Process Modelling and simulation have proved to be extremely successful engineering tools for the design and optimisation of physical, chemical and biochemical processes. The use of simulation has expanded rapidly over the last two decades because of the availability of large high-speed computers and indeed has become even more widespread with the rise of the desk-top PC resources now available to nearly every engineer and student. In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. Computational Methods for Process Simulation develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the internet.
(source: Nielsen Book Data)

• Basics.- Foundations of Macroeconomic Dynamics.- Population Dynamics and the Labour Market.- Production Functions.- Simple Dynamic Macromodels.- A Model Without R&D and Public Expenditure.- Some Determinants of Endogenous Growth.- Public Expenditure and Taxes.- Computer Simulations.- Stationary Population: Cobb-Douglas Simulations.- Stationary Population: CES Simulations.- Stationary Population: Leontief Simulations.- Steady Growing Population.- Logistic Growing Population.- Effects of Public Expenditure.- Material Welfare Comparisons.
• (source: Nielsen Book Data)

This book presents a macroeconomic dynamic model a la Solow-Swan, including the market for labor, in a discrete time structure. The model is expanded to include expenditure on R&D and public expenditure on infrastructure. For each of the three models the results are shown in time series figures, which demonstrate that even small changes in the parameters produce responses in the time behavior of the main variables: from steady growth, to regular cycles, to chaotic-like time paths.
(source: Nielsen Book Data)

• Data Analysis in Earth Sciences
• Introduction to MATLAB
• Univariate Statistics
• Bivariate Statistics
• Time-Series Analysis
• Signal Processing
• Spatial Data
• Image Processing
• Multivariate Statistics
• Statistics on Directional Data.

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book's supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.

• PREFACE; CONTENTS; INTRODUCTION; 1 FUNDAMENTAL ASPECTS OF INCOMPRESSIBLE AND COMPRESSIBLE TURBULENT FLOWS; 2 DIRECT NUMERICAL SIMULATION OF TURBULENT FLOWS; 3 LARGE EDDY SIMULATION; 4 INTRODUCTION TO RENORMALIZATION GROUP MODELING OF TURBULENCE; 5 MODELING OF TURBULENT TRANSPORT EQUATIONS; 6 AN INTRODUCTION TO SINGLE-POINT CLOSURE METHODOLOGY; INDEX.

The book provides an up-to-date overview of turbulent flow research in the areas of simulation and modelling. Starting with a review of the spectral dynamics of homogenous and inhomogenous turbulent flows, succeeding chapters deal with numerical simulation techniques, renormalization group methods and turbulent closure modelling. Each chapter is authored by recognized leaders in their respective fields, and each provides a thorough and cohesive treatment of the subject.
(source: Nielsen Book Data)

• * Introduction to Markov Chain Monte Carlo Simulations and their Statistical Analysis (B A Berg) * An Introduction to Monte Carlo Methods in Statistical Physics (D P Landau) * Notes on Perfect Simulation (W S Kendall) * Sequential Monte Carlo Methods and Their Applications (R Chen) * Markov Chain Monte Carlo in the Analysis of Genetic Data on Pedigrees (E A Thompson).
• (source: Nielsen Book Data)

Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines.
(source: Nielsen Book Data)

• From the Contents: Thermal Boundary Layer Instabilities In Near Critical Fluids
• Penalty Methods For Turbulent Flows Interacting With Obstacles
• Direct Numerical Simulation Of Particle Turbulence Interaction In Forced Turbulence
• Wake Instabilities Behind An Axisymmetric Bluff Body At Low Reynolds Numbers.

The book presents a snapshot of the state-of-art in the field of turbulence modeling and covers the latest developments concerning direct numerical simulations, large eddy simulations, compressible turbulence, coherent structures, two-phase flow simulation, and other related topics. It provides readers with a comprehensive review of both theory and applications, describing in detail the authors' own experimental results. The book is based on the proceedings of the third Turbulence and Interactions Conference (TI 2012), which was held on June 11-14 in La Saline-les-Bains, La Réunion, France, and includes both keynote lectures and outstanding contributed papers presented at the conference. This multifaceted collection, which reflects the conferenceś emphasis on the interplay of theory, experiments and computing in the process of understanding and predicting the physics of complex flows and solving related engineering problems, offers a practice-oriented guide for students, researchers and professionals in the field of computational fluid dynamics, turbulence modeling and related areas.

• Atomic Models List System Entity Structure List Pruning SES List Miscellaneous List.
• (source: Nielsen Book Data)

This user's reference is a companion to the separate book also titled "Guide to Modelling and Simulation of Systems of Systems." The principal book explicates integrated development environments to support virtual building and testing of systems of systems, covering in some depth the MS4 Modelling Environment (TM). This user's reference provides a quick reference and exposition of the various concepts and functional features covered in that book. The topics in the user's reference are grouped in alignment with the workflow displayed on the MS4 Modeling Environment (TM) launch page, under the headings Atomic Models, System Entity Structure, Pruning SES, and Miscellaneous. For each feature, the reference discusses why we use it, when we should use it, and how to use it. Further comments and links to related features are also included.
(source: Nielsen Book Data)

• Introduction.- Verification tests.- Groundwater Flow - Theis' Revisited.- Richards Flow.- Multi-Componential Fluid Flow.- Random Walk Particle Tracking.- Mechanical Processes.- Density-Dependent Flow.- Multiphase Flow & Transport with OGS-ECLIPSE.- Coupled THM Processes.- Thermo-Mechanics.- Reactive Transport.
• (source: Nielsen Book Data)

The present book provides guidance to understanding complicated coupled processes based on the experimental data available and implementation of developed algorithms in numerical codes. Results of selected test cases in the fields of closed-form solutions (e.g., deformation processes), single processes (such as groundwater flow) as well as coupled processes are presented. It is part of the OpenGeoSys initiative - an open source project to share knowledge and experience in environmental analysis and scientific computation with the community.
(source: Nielsen Book Data)

• Forward. Preface. Contributors. 1. Introduction and Overview (W. Rouse & K. Boff). 2. Strategic Thinking Via Organizational Simulation (W. Rouse). 3. Using Organizational Simulation to Develop Unprecedented Systems (S. Cross). 4. The Learning Organization and Organizational Simulation (D. Andrews, et al.). 5. Requirements and Approaches For Modeling Individuals Within Organizational Simulations (E. Hudlicka & G. Zacharias). 6. Common Ground and Coordination in Joint Activity (G. Klein, et al.).
• 7. Modeling Team Performance: The Basic Ingredients and Research Needs (E. Salas, et al.). 8. National Differences in Teamwork (H. Klein & A. McHugh). 9. How Well Did It Work? Measuring Organizational Performance in Simulation Environments (J. MacMillan, et al.). 10. Technical and Conceptual Challenges in Organizational Simulation (L. McGinnis). 11. Narrative Abstraction For Organizational Simulations (J. Murray). 12. Agent-Based Modeling and Simulation of Socio-Technical Systems (A. Shah & A. Pritchett). 13. Executable Models of Decision Making Organizations (A. Levis). 14. Organizational Design and Assessment in Cyber-Space (K. Carley). 15. Artificial Intelligence and Its Applications to Organizational Simulation (S. Cross & S. Fouse). 16. Simulating Humans (I. Essa & A. Bobick). 17. Modeling Crowd Behavior For Military Simulation Applications (R. Loftin, et al.). 18. Application of Immersive Technology For Next Generation Simulation (R. Lindheim & J. Korris). 19. From Viz-Sim to VR to Games: How We Build a Hit Game-Based Simulation (M. Zyda, et al.). 20. Distributed Simulation and the High Level Architecture (R. Fujimoto). 21. Harnessing the Hive: Innovation as a Distributed Function in The Online Game Community (J. Herz). Author Index. Subject Index.
• (source: Nielsen Book Data)

Computer-based simulation has long been used to project the behavior of systems too complex for analytical calculation. Simulation has also been used for many decades to enable human visualization and learning about complex tasks such as aircraft piloting and process plant control, and the versatility and cost-effectiveness of these training simulators are widely recognized. This book provides a "guide book" for continued growth of simulation in industry and technology.
(source: Nielsen Book Data)
From modeling and simulation to games and entertainment With contributions from leaders in systems and organizational modeling, behavioral and social sciences, computing and visualization, and gaming and entertainment, Organizational Simulation both articulates the grand vision of immersive environments and shows, in detail, how to realize it. This book offers unparalleled insight into the cutting edge of the field, since it was written by those who actually researched, designed, developed, deployed, marketed, sold, and critiqued today's best organizational simulations. The coverage is divided into four sections: * Introduction outlines the need for organizational simulation to support strategic thinking, design of unprecedented systems, and organizational learning, including the functionality and technology required to enable this support * Behaviors covers the state of knowledge of individual, group, and team behaviors and performance, how performance can best be supported, how performance is affected by national differences, and how organizational performance can best be measured * Modeling describes the latest approaches to modeling and simulating people, groups, teams, and organizations, as well as narrative contexts and organizational environments within which these entities act, drawing from a rich set of modeling methods and tools * Simulations and Games illustrates a wide range of fielded simulations, games, and entertainment, including the methods and tools employed for designing, developing, deploying, and evaluating these systems, as well as the social implications for the associated communities that have emerged Addressing all levels of organizational simulation architecture with theories and applications, and enabling technologies for each, Organizational Simulation offers students and professionals the premier reference and practical toolbox for this dynamic field.
(source: Nielsen Book Data)

• Diagnostics, Prognostics, Condition-Based Maintenance
• Selected Prognostic Methods with Application to an Integrated Health Management System
• Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics
• A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis
• Particle Filter Based Anomaly Detection for Aircraft Actuator Systems
• Unmanned Aerial Systems
• Design of a Hardware and Software Architecture for Unmanned Vehicles: A Modular Approach
• Designing a Real-time Vision System for Small Unmanned Rotorcraft: A Minimal and Cost-Effective Approach
• Coordination of Helicopter UAVs for Aerial Forest-Fire Surveillance
• Genetic Fuzzy Rule-Based Classifiers for Land Cover Classification from Multispectral Images
• Bioengineering/Neurotechnology
• Epileptic Seizures May Begin Hours in Advance of Clinical Onset: A Report of Five Patients*
• Intelligent Control Strategies for Neurostimulation
• Intelligent Control Systems
• Software Technology for Implementing Reusable, Distributed Control Systems
• UGV Localization Based on Fuzzy Logic and Extended Kalman Filtering
• Adaptive Estimation of Fuzzy Cognitive Networks and Applications
• An Improved Method in Receding Horizon Control with Updating of Terminal Cost Function
• Identifier-Based Discovery in Large-Scale Networks An Economic Perspective.

This book represents the work of top scientists in the field of intelligent control and its applications, prognostics, diagnostics, condition based maintenance and unmanned systems. The work presents an approach to solving engineering problems related to manufacturing, automation, and especially unmanned systems and describes recent advances in the disciplines mentioned above. The main goal of the book is to demonstrate how concepts and ideas from diverse disciplines are merged within a common framework applied to the solution of complex problems.

This book is a collection of papers presented at the Forum “The Impact of Applications on Mathematics” in October 2013. It describes an appropriate framework in which to highlight how real-world problems, over the centuries and today, have influenced and are influencing the development of mathematics and, thereby, how mathematics is reshaped, in order to advance mathematics and its application. The contents of this book address productive and successful interaction between industry and mathematicians, as well as the cross-fertilization and collaboration that result when mathematics is involved with the advancement of science and technology.

• Introduction
• ESM workflow
• Applying Scientific Workflow to ESM
• Configuration Management and Version Control in Earth System Modelling
• Building Earth System Models
• Running and Monitoring
• General Architectural Principles of job scheduling systems
• Configuring, Building and Running Models in GENIE
• Configuring, Building and Running Models in CIAS
• Conclusions and Future Perspectives.

Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the process of configuring, building, and running earth system models. Earth system models are typically a collection of interacting computer codes (often called components) which together simulate the earth system. Each code component is written to model some physical process which forms part of the earth system (such as the Ocean). This book is concerned with the source code version control of these code components, the configuration of these components into earth system models, the creation of executable(s) from the component source code and related libraries and the running and monitoring of the resultant executables on the available hardware.

• Recent Developments on Reaction Automata Theory
• A Survey.- Comparison of Two Interval Models for Fuzzy-valued Genetic Algorithm.- Convergence of asynchronous cellular automata (under null boundary condition) and their application in pattern classification.- Science, So Close and Yet So Far Away
• How People View Science, Science Subjects and Scientists.- Towards Cyber-Phenomenology: Aesthetics and Natural Computing in Multi-Level Information Systems.- Toward Another Possible Visualization of Massaging
• The First Short Step from Klee to Scientific Visualization.- The Generation of Emotional Transmission via Medium-Perceiving Drawing System and The Plasticity of Subjects.- Fat as Soft Architecture
• The Spontaneous Transformation of Lipids into Organic Geometries with Predefined Biophysical Properties.- Breeding-Back of Goldfish as a Practice that Mediates Between Experimental Biology and Aesthetics.
• (source: Nielsen Book Data)

This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing and educational technology. It presents extended versions of the best papers selected from the symposium "7th International Workshop on Natural Computing" (IWNC7), held in Tokyo, Japan, in 2013. The target audience is not limited to researchers working in natural computing but also those active in biological engineering, fine/media art design, aesthetics and philosophy.
(source: Nielsen Book Data)

• 1. Case Studies
• 2. How Objects Are Modelled
• 3. 2D Shape Definition
• 4. Operations and Functionality
• 5. Geometry
• 6. Non-manifold Models
• 7. The CAD Interface and Graphical Output
• 8. Information and Properties
• 9. Databases and Data Exchange
• 10. Features
• 11. Early-Phase Design
• 12. History, Parametric Parts and Programming
• 13. Assemblies
• 14. CAD in a Community
• 15. Projects.

Solid Modelling and CAD Systems gives users an insight into the methods and problems associated with CAD systems. It acts as a bridge between users who learn interfaces without understanding how they work and developers who create systems without understanding the needs of the users. The main feature of Solid Modelling and CAD Systems is a logical analysis of the techniques and basic solid modelling methods used in modern CAD systems.¡ The book goes on to describe, among other subjects: two-dimensional shape definition methods, the command interface and graphics, databases and data exchange, early-phase design, and command files and command structures. Reading Solid Modelling and CAD Systems will help users understand the limitations of the techniques they are using and will enable practitioners to use CAD systems more efficiently. It is a valuable tool for designers, as well as for advanced undergraduate and postgraduate students. The exercises it contains allow readers to try out different aspects of the subject matter and the book also includes projects that can be used for teaching purposes.

• Preface
• 1. Introduction
• 2. Overview of Related Studies
• 3. Accelerated Lattice Boltzmann Method
• 4. Hybrid LBM for Surfactant-Covered Droplets
• 5. Suppressing the Coalescence in the LBM: Colloids Rheology
• 6. Non-Uniform Interfacial Tension LBM for RBC Modeling
• Appendix
• References
• Index.

Colloids are ubiquitous in the food, medical, cosmetics, polymers, water purification, and pharmaceutical industries. The thermal, mechanical, and storage properties of colloids are highly dependent on their interface morphology and their rheological behavior. Numerical methods provide a convenient and reliable tool for the study of colloids. Accelerated Lattice Boltzmann Model for Colloidal Suspensions introduce the main building-blocks for an improved lattice Boltzmann-based numerical tool designed for the study of colloidal rheology and interface morphology. This book also covers the migrating multi-block used to simulate single component, multi-component, multiphase, and single component multiphase flows and their validation by experimental, numerical, and analytical solutions. Among other topics discussed are the hybrid lattice Boltzmann method (LBM) for surfactant-covered droplets; biological suspensions such as blood; used in conjunction with the suppression of coalescencefor investigating the rheology of colloids and microvasculature blood flow. The presented LBM model provides a flexible numerical platform consisting of various modules that could be used separately or in combination for the study of a variety of colloids and biological flow deformation problems.

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behaviour of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than 40 different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
(source: Nielsen Book Data)