Computer modelling and simulation Books

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

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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

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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

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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.

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Book Synopsis3D Mesh Processing and Character Animation focusses specifically on topics that are important in three-dimensional modelling, surface design and real-time character animation. It provides an in-depth coverage of data structures and popular methods used in geometry processing, keyframe and inverse kinematics animations and shader based processing of mesh objects. It also introduces two powerful and versatile libraries, OpenMesh and Assimp, and demonstrates their usefulness through implementations of a wide range of algorithms in mesh processing and character animation respectively. This Textbook is written for students at an advanced undergraduate or postgraduate level who are interested in the study and development of graphics algorithms for three-dimensional mesh modeling and analysis, and animations of rigged character models. The key topics covered in the book are mesh data structures for processing adjacency queries, simplification and subdivision algorithms, mesh parameterization methods, 3D mesh morphing, skeletal animation, motion capture data, scene graphs, quaternions, inverse kinematics algorithms, OpenGL-4 tessellation and geometry shaders, geometry processing and terrain rendering. Table of Contents1 Introduction.- 2 Mesh Processing Basic.- 3 Mesh Processing Algorithms.- 4 The Geometry Shader.- 5 Mesh Tessellation.- 6 Quaternions.- 7 Character Animation.- 8 Kinematics.

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Book SynopsisThis book is a collection of papers compiled from the conference "Algorithms and Computer-Based Solutions" held on June 8-9, 2021 at Peter the Great St. Petersburg Polytechnic University (SPbPU), St. Petersburg, Russia. The authors of the book are leading scientists from Russia, Germany, Netherlands, Greece, Hungary, Kazakhstan, Portugal, and Poland.The reader finds in the book information from experts on the most interesting trends in digitalization - issues of development and implementation of algorithms, IT and digital solutions for various areas of economy and science, prospects for supercomputers and exo-intelligent platforms; applied computer technologies in digital production, healthcare and biomedical systems, digital medicine, logistics and management; digital technologies for visualization and prototyping of physical objects.The book helps the reader to increase his or her expertise in the field of computer technologies discussed.

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Book SynopsisCommissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations.Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation.This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline.Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.Table of Contents1. Preliminary.- 2. M&S BOK Core Areas and the Big Picture.- 3. Simulation as Experimentation.- 4. Simulation as Experience to Enhance Three Types of Skills.- 5. Simulation Games (Simulation as Experience for Entertainment).- 6. Infrastructure.- 7. Reliability and Quality Assurance of M&S.- 8. Ethics.- 9. Enterprise (Economics of M&S).- 10. Maturity.- 11. Supporting Domains: Computers and Computation.- 12. Supporting Science Areas.- 13. Supporting Engineering Areas.-14. Supporting Social Science and Management Areas.- 15. Philosophy and Modelling and Simulation.- 16. History.- 17. Core Research Areas.- 18. Trends, Desirable Features, and Challenges.

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Book SynopsisThis book constitutes the refereed proceedings of the 18th International Conference on Computer-Aided Systems Theory, EUROCAST 2022, held in Las Palmas de Gran Canaria, Spain, during February 20–25, 2022. The 77 full papers included in this book were carefully reviewed and selected from 110 submissions. They were organized in topical sections as follows: Systems Theory and Applications, Theory and Applications of Metaheuristic Algorithms, Model-Based System Design, Verification and Simulation, Applications of Signal Processing Technology, Artificial Intelligence and Data Mining for Intelligent Transportation Systems and Smart Mobility, Computer Vision, Machine Learning for Image Analysis and Applications, Computer and Systems Based Methods and Electronic Technologies in Medicine, Systems in Industrial Robotics, Automation and IoT, Systems Thinking. Relevance for Technology, Science and Management Professionals.Table of ContentsSystems Theory and Applications.- Transdisciplinary Software Development for Early Crisis Detection.- Uncertainty and Ambiguity: Challenging Layers in Model Construction.- George J. Boole. A Nineteenth Century Man for the Modern Digital Era.- Improvement of Electromagnetic Systems by Werner Von Siemens.- Improvement of Electromagnetic Systems by Werner Von Siemens.- Theory and Applications of Metaheuristic Algorithms.- Multi-criteria Optimization of Workflow-based Assembly Tasks in Manufacturing.- Lightweight Interpolation-Based SurroImproving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints.- gate Modelling for MultiObjective Continuous Optimisation.- Analysis and Handling of Dynamic Problem Changes in OpenEnded Optimization.- Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance.- Dynamic Fitness Landscape Analysis.- A Relative Value Function Based Learning Beam Search for Longest Common Subsequence Problem.- Multi-day Container Drayage Problem with Active and Passive Vehicles.- On Discovering Optimal Trade-Offs when Introducing New Routes in Existing Multi-Modal Public Transport Systems.- A Mathematical Model and GRASP for a Tourist Trip Design Problem.- A Large Neighborhood Search for Battery Swapping Station Location Planning for Electric Scooters.- Shapley Value based Variable Interaction Networks for Data Stream Analysis.- Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.- Comparing Shape-Constrained Regression Algorithms for Data Validation.- Shape-constrained Symbolic Regression with NSGA-III.- Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments.- Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems.-Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and sparse identification.- Model-Based System Design, Verification and Simulation.- Modeling Approaches for Cyber Attacks on Energy Infrastructure.- Simulation setup for a closed-loop regulation of neuro-muscular blockade.- Textile In The Loop as Automated Verification Tool for Smart Textiles Applications.- Orchestrating Digital Twins for Distributed Manufacturing Execution Systems.- Automata with Bounded Repetition in RE2.- Integrating OSLC Services into Eclipse.- Developing an Application in the Forest for New Tourism Post COVID-19.- GPU-Accelerated Synthesis of Probabilistic Programs.- Static Deadlock Detection in Low-Level C Code.- Applications of Signal Processing Technology.- 3D Ultrasound Fingertip Tracking.- An Artificial Skin from Conductive Rubber.- Neural Network Based Single-Carrier Frequency Domain Equalization.- Smooth Step Detection.- Optical Preprocessing and Digital Signal Processing for the Measurement of Strain in Thin Specimen.- Lower Limbs Gesture Recognition Approach to Control a Medical Treatment Bed.- Artificial Intelligence and Data Mining for Intelligent Transportation Systems and Smart Mobility.- JKU-ITS Automobile for Research on Autonomous Vehicles.- Development of a ROS-based Architecture for Intelligent Autonomous on Demand Last Mile Delivery.- Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR data.- Deep Learning Data Association Applied to Multi-Object Tracking Systems.- A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment.- Sensitivity Analysis for A Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings.- On Smart Mobility and Data Stream Mining.- Smart Vehicle Inspection.- Computer Vision, Machine Learning for Image Analysis and Applications.- Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images.- Performance Analysis of GAN approaches in the Portable Chest X-ray synthetic image generation for COVID-19 screening.- Clinical Decision Support tool for the Identification of Pathological Structures Associated with Age-related Macular Degeneration.- Deep Features-based approaches for Phytoplankton Classification in Microscopy Images.- Robust Deep Learning-based Approach for Retinal layer Segmentation in Optical Coherence Tomography Images.- Impact of increased centerline weight on the Joint segmentation and classification of arteries and veins in color fundus images.- Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset.- Gait Recognition using 3D View-Transformation Model.- Segmentation and Multi-Facet Classification of Individual Logs in Wooden Piles.- Drone Detection Using Deep Learning: A Benchmark Study.- Computer and Systems Based Methods and Electronic Technologies in Medicine.- Continuous Time Normalized Signal Trains for a Better Classification of Myoelectric Signals.- A Comparison of Covariate Shift Detection Methods on Medical Datasets.- Towards a Method to Provide Tactile Feedback in Minimally Invasive Robotic Surgery.- Reference Datasets for Analysis of Traditional Japanese and German Martial Arts.- A Novel Approach to Continuous Heart Rhythm Monitoring for Arrhythmia Detection.- Indoor Positioning Framework for Training Rescue Operations Procedures at the Site of a Mass Incident or Disaster.- Designing sightseeing support system in Oku-Nikko using BLE beacon.- Systems in Industrial Robotics, Automation and IoT.- Mixed Reality HMI for Collaborative Robots.- A Digital Twin Demonstrator for Research and Teaching in Universities.- Robot System as a Testbed for AI Optimizations.- An Architecture for Deploying Reinforcement Learning in Industrial Environments.- Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers.- Stepwise Sample Generation.- Optimising Manufacturing Process with Bayesian Learning and Knowledge Graphs.- Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems.- Improvements for mlrose Applied to the Traveling Salesperson Problem.- Survey on Radar Odometry.- Systems Thinking. Relevance for Technology, Science and Management Professionals.- Systems Thinking. Relevance for Technology, Science and Management Professionals.- Crisis Management in a Federation – Cybernetic Lessons from a Pandemic.- Using Archetypes to Teach Systems Thinking in an Engineering Master’s Course.- Collecting vs Sharing of Personal Data: Examining the Implications to the Society.

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Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2022, held MESAS 2022, Prague, Czech Republic, October 2022.The 21 full papers included in the volume were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Modelling, Simulation Technology, methodologies and Robotics. Table of ContentsM&S of Intelligent Systems - R&D and Application.- AxS/AI in Context of Future Warfare and Security Environment.- Future Challenges of Advanced M&S Technology.

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Book SynopsisThis open access conference proceedings contains all the papers presented at the ICTIMT 2023, the 3rd International Conference on Thermal Issues in Machine Tools. The event takes place in Dresden, the capital of Saxony, from March 21-23 2023. The conference is organized by the Chair of Machine Tools Development and Adaptive Controls of the Technische Universität Dresden.Table of ContentsThermal interactions between workpiece, tool, machine.- Testing and simulation methods to identify thermal errors.- Reference workpieces and assessment.- Energy efficient compensation and correction of thermal errors.- Improving thermal robustness of machine tools through design changes.- Thermo-energetic optimization of machine tools.

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Book SynopsisThis open access conference proceedings contains all the papers presented at the ICTIMT 2023, the 3rd International Conference on Thermal Issues in Machine Tools. The event takes place in Dresden, the capital of Saxony, from March 21-23 2023. The conference is organized by the Chair of Machine Tools Development and Adaptive Controls of the Technische Universität Dresden.Table of ContentsThermal interactions between workpiece, tool, machine.- Testing and simulation methods to identify thermal errors.- Reference workpieces and assessment.- Energy efficient compensation and correction of thermal errors.- Improving thermal robustness of machine tools through design changes.- Thermo-energetic optimization of machine tools.

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Book SynopsisThis book reviews the state-of-the-art efforts to apply machine learning and AI methods for healthy aging and longevity research, diagnosis, and therapy development. The book examines the methods of machine learning and their application in the analysis of big medical data, medical images, the creation of algorithms for assessing biological age, and effectiveness of geroprotective medications.The promises and challenges of using AI to help achieve healthy longevity for the population are manifold. This volume, written by world-leading experts working at the intersection of AI and aging, provides a unique synergy of these two highly prominent fields and aims to create a balanced and comprehensive overview of the application methodology that can help achieve healthy longevity for the population.The book is accessible and valuable for specialists in AI and longevity research, as well as a wide readership, including gerontologists, geriatricians, medical specialists, and students from diverse fields, basic scientists, public and private research entities, and policy makers interested in potential intervention in degenerative aging processes using advanced computational tools. Table of ContentsAI in longevity.- Automated reporting of medical diagnostic imaging for early disease and aging biomarkers detection.- Risk forecasting tools based on the collected information for two types of occupational diseases.- Obtaining longevity footprints in DNA methylation data using different machine learning approaches.- The role of assistive technology in regulating the behavioural and psychological symptoms of dementia.- Epidemiology, genetics and epigenetics of Biological Aging: one or more aging systems?.- Temporal relation prediction from Electronic Health Records using Graph Neural Networks and Transformers Embeddings.- In silico screening of life-extending drugs using machine learning and omics data.- An overview of kernel methods for identifying genetic association with health-related traits.- Artificial Intelligence approaches for skin anti-aging and skin resilience research.- AI in genomics and epigenomics.- The utility of information theory based methods in the research of aging and longevity.- AI for Longevity: getting past the Mechanical Turk model will take Good Data.- Leveraging algorithmic and human networks to cure human aging: Holistic understanding of Longevity via Generative Cooperative Networks, Hybrid Bayesian/Neural/Logical AI and Tokenomics-Mediated Crowdsourcing.

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Book SynopsisThis is the first book that sums up test-related modeling of digital circuits and systems by a new structural-decision-diagrams model. The model represents structural and functional information jointly and opens a new area of research.The book introduces and discusses applications of two types of structural decision diagrams (DDs): low-level, structurally synthesized binary DDs (SSBDDs) and high-level DDs (HLDDs) that enable diagnostic modeling of complex digital circuits and systems.Topics and features: Provides the definition, properties and techniques for synthesis, compression and optimization of SSBDDs and HLDDs Provides numerous working examples that illustrate the key points of the text Describes applications of SSBDDs and HLDDs for various electronic design automation (EDA) tasks, such as logic-level fault modeling and simulation, multi-valued simulation, timing-critical path identification, and test generation Discusses the advantages of the proposed model to traditional binary decision diagrams and other traditional design representations Combines SSBDDs with HLDDs for multi-level representation of digital systems for enabling hierarchical and cross-level solving of complex test-related tasks This unique book is aimed at researchers working in the fields of computer science and computer engineering, focusing on test, diagnosis and dependability of digital systems. It can also serve as a reference for graduate- and advanced undergraduate-level computer engineering and electronics courses.Three authors are affiliated with the Dept. of Computer Systems at the Tallinn University of Technology, Estonia: Raimund Ubar is a retired Professor, Jaan Raik and Maksim Jenihhin are tenured Professors. Artur Jutman, PhD, is a researcher at the same university and the CEO of Testonica Lab Ltd., Estonia.Table of ContentsChapter 1: Introduction.- Chapter 2: Overview of structural decision diagrams.- Chapter 3: Structurally Synthesized Binary Decision Diagrams.- Chapter 4: Fault modeling in digital circuits.- Chapter 5: Logic-level fault simulation.- Chapter 6: Test generation, fault diagnosis and testability.- Chapter 7: High-Level Decision Diagrams.- Chapter 8: Test generation for microprocessors with HLDDs.

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Book Synopsis.- M&S of Intelligent Systems R&D and Application..- Comparison of Frequency Cepstral Coefficients in Impulse Acoustic Events Detection..- Modelling and Simulation of hypersonic missile in VR-Forces environment..- Atlas Fusion 2.0 - A ROS2 Based Real-Time Sensor Fusion Framework..- UAS Flight Path Optimization Model for Effective Monitoring and Surveillance of the Buffer Zone in the UNFICYP Peacekeeping Mission..- A Model-Based Design Approach for a System of Systems based on an Integrated UAV Platform..- Practical applicability of tree spacing passability analysis on vehicle path planning..- Where to go and how to get there: Tactical terrain analysis for military unmanned ground-vehicle mission planning..- A Survey of Trajectory Planning Algorithms for Off-road Uncrewed Ground Vehicles..- Multi-physics and Multi-spectral Sensors Simulator for Autonomous Flight Functions Development..- Future Challenges of Advanced M&S Technology..- Conceptual Aspects of Counter-UAS Modelling and Simulation..- Challenges Associated with the Deployment of Autonomous Reconnaissance Systems on Future Battlefields..- The Key Challenges of SBAD M&S..- Development of Geoprocessing Tool for Wet Gap Crossing in Military Operations..- Digital Twin Modeling for Machine Vision Testing in Autonomous Systems..- A Situation Analysis Process in Computer-Generated Forces Team Behavior within Air Combat Simulations under Risk and Uncertainty: Concept and First Implementations..- A Tactical Planning Process in Computer-Generated Forces Team Behavior within Air Combat Simulations: Concept and First Implementations..- Survey on Sensing, Modelling and Reasoning Aspects in Military Autonomous Systems..- AxS/AI in Context of Future Warfare and Security Environment..- Camera based AI models used with lidar data for improvement of detected object parameters..- The Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving..- Hyperspectral Data Dimensionality Reduction: a Comparative Study between PCA and Autoencoder methods..- Utilizing a CNN for Automatic Detection of Military Reconnaissance and Surveillance Objects in Aerial Images: Concept and Challenges..- Multimodal Earth Observation Modeling using AI..- Statistical Evaluation of Simulation Study Data..- Mission: COMANND.  Conceptualizing an AI Assistant for Decision-Making..- Using Only Synthetic Images to Train a Drogue Detector for Aerial Refueling.

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Book Synopsis.- Applications of Signal Processing Technology..- Efficient Hardware Architecture for Random Forest Training..- Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance..- Adaptive combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation..- Using of a Robotic Platform to Detect Acoustic Events for Indoor Environments..- Applied Data Science and Engineering for Intelligent Transportation Systems and Smart Mobility..- Modeling Wildlife Accident Risk with Gaussian Mixture Models..- Towards a Unified Incident Detection and Response System for Autonomous Transportation..- Computer and Systems Based Methods and Electronic Tools in Clinical and Academic Medicine..- Edge-Processing of Myoelectric Signals for the Control of Hand- and Arm-Prostheses..- AI-Driven Gesture and Action Recognition for Learning Medicine through Virtual Reality..- Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices..- A Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints..- Motion tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications..- Advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation..- Systems in Industrial Robotics, Automation and IoT..- Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM..- Machine Learning based Parameter Estimation of Energy Models in Digital Production Environments..- Efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods..- Machine Learning using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding..- Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems..- Using AutomationML for Advanced Simulation in Industrial Automation..- AR Digital Twin Demonstrator for Industrial Robotics Education..- Accelerating Manual Pick-and-Place Operations with AR Projected CAD Plans and AI-Assisted Object Recognition..- Systems Thinking: Applications in Technology, Science, and Management..- Variety Engineering - A Cybernetic Concept with Practical Implications..- Using a System Archetypes to Explore Business Model Challenges for Digital Textile Microfactories..- Interacting with the Water Cycle - Towards an Experimental Paradigm..- Systemic Thinking in IT Management of the Future: Where are the Benefits?..- Developing a Human Health Digital Twin for Cardiovascular Risk Assessment: Simulation Model and Dashboard..- The Human-Centered AI-DATA Model for Digital Customer Journeys in E-Commerce..- Using LLMs and Websearch in Order to Perform Fact Checking on Texts Generated by LLMs..- Data Science in Medical and Bio-Informatics..- Data Based Prediction of the Duration of the Postoperative Stay of Patients..- A Methodology to Build Spanish Trustworthy Question-Answer Datasets for Suicide Information..- Personalized ML-Assisted Respiratory Muscle Training for Patients with Paraplegia..- Modelling the Risk of Overweight and Obesity Based on the GenObiA Dataset using Genetic Programming..- Customization and Analysis of Orthopedic Aids..- Source Localization for Electrohydraulic Shockwave Devices..- Analysis of Fluorescence Images of C. elegans.

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Book SynopsisThis book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.

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Book Synopsis1. Systemanalyse: Eine Einführung 1. 0 Überblick Unsere Wirklichkeit wird nicht so sehr geprägt durch die Einzelfunktionen ihrer vielen Bestandteile, sondern vielmehr durch deren Zusammenwirken. Manche Kom­ ponenten wirken stark aufeinander, andere nur schwach, weitere schließlich haben überhaupt nichts miteinander zu tun. Wir verwenden das Wort 'System', um damit eine Anzahl von Bestandteilen abzugrenzen, die untereinander relativ stark, mit ihrer gemeinsamen Systemumwelt aber nur relativ schwach interagieren und das so, daß man dem beobachteten Verhalten dieses Systems einen 'Zweck' zuordnen kann. Bei näherer Betrachtung ist unsere Realität voll solcher Systeme, und sogar voller Sy­ steme von Systemen: Menschen, Tiere, Pflanzen, Ökosysteme, Maschinen, Fabriken, Städte, Staaten. Um die Rolle der Systemanalyse zu diskutieren, befassen wir uns hier beispielhaft mit den komplexesten dieser Systeme: mit natürlichen Systemen (Orga­ nismen und Ökosystemen). Im Laufe der Evolution haben nur diejenigen natürlichen Systeme überleben können, denen es gelungen ist, Systemprozesse zu entwickeln, die ihre Erhaltung sichern, d. h. , die die Fähigkeit erworben haben, auch unter schwierigen und unerwarteten Bedin­ gungen zu überleben. Allerdings sind die meisten natürlichen Systeme nicht in der Lage, erfolgreich mit den schweren Störungen fertigzuwerden, die ihnen durch den hohen Ressourcenverbrauch und die Umweltbelastungen der modernen Gesell­ schaften aufgezwungen werden. Um die Zerstörung der ökologischen Basis und der natürlichen Ressourcen zu vermeiden, müssen wir lernen, diese Systeme in ihrem Verhalten besser zu verstehen und die Folgen unserer Handlungen zuverlässig abzu­ schätzen. Das Werkzeug für diese Aufgabe ist die Systemanalyse.Table of Contents0. Überblick und Vorbemerkungen.- 1. Systemanalyse: Eine Einführung.- 2. Grundwissen der Modellbildung und Simulation.- 3. Verhalten und Stabilität dynamischer Systeme.- 4. Simulationsmodelle.- 5. Anhang.- Anmerkungen zu den Programmen auf der Begleitdiskette.

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Book SynopsisDieses Buch gibt eine umfassende Einführung in die verschiedenen Aspekte der modernen Computergraphik. Neben der Diskussion grundlegender Fragestellungen (Koordinatensysteme, Rasterung, Farbmodelle) werden dabei sowohl die geometrische Modellierung dreidimensionaler Objekte als auch deren graphische Darstellung behandelt. Weiterhin wird die Rolle der Computergraphik in aktuellen Anwendungen wie Animation, Visualisierung oder Virtual Reality beleuchtet. Unterstützt durch zahlreiche, z.T. farbige Illustrationen erhält der Leser so einen Überblick über die einzelnen Arbeitsschritte und Techniken auf dem Weg zum photorealistischen Bild.Trade Review"Es ist leicht lesbar und erfordert keine besonderen mathematischen Vorkenntnisse." Monatshefte für Mathematik, 02/2003Table of ContentsGrundlagen und graphische Grundfunktionen - Geometrische Modellierung dreidimensionaler Objekte - Graphische Darstellung dreidimensionaler Objekte - Ausgewählte Themen und Anwendungen - Schnittstellen und Standards - Graphiksoftware - Aufgaben

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Book SynopsisShape interrogation is the process of extraction of information from a geometric model. It is a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems. This book provides a bridge between the areas geometric modeling and solid modeling. Apart from the differential geometry topics covered, the entire book is based on the unifying concept of recasting all shape interrogation problems to the solution of a nonlinear system. It provides the mathematical fundamentals as well as algorithms for various shape interrogation methods including nonlinear polynomial solvers, intersection problems, differential geometry of intersection curves, distance functions, curve and surface interrogation, umbilics and lines of curvature, and geodesics.Trade ReviewFrom the reviews: "... Currently there are several excellent books in the area of geometric modeling and in the area of solid modeling. The major contribution of this book lies in its skilful manner of providing a bridge between these two areas that is guaranteed to make the target audience cry out aloud with delight. Apart from the differential geometry topics covered, the entire book is based on the unifying concept of recasting all shape interrogation problems to the solution of a nonlinear system. Indeed the book is quite compulsive; No study of shape interrogation can ignore Patrikalakis and Maekawa's. Nearly 460 references to the literature make the book widely welcomed. ..." Current Engineering Practice 2002-2003, Vol. 45, Issue 3-4 "... It provides a comprehensive coverage of the fundamental concepts that shape interrogation techniques rely on as well as of the various techniques and algorithms for interrogation of shape features. ... Containing 408 pages, the book can be an indispensable reference for anybody with interest in this field of computer aided geometric design and software development. Nick Patrikalakis and Takashi Maekawa, researchers at MIT, managed to presnet all related concepts in an insightful way. The careful arrangement of the topics and the endeavor of the authors to recast all shape interrogation problem to the numerical solution of a nonlinear system of equations impressed the reviewer. ..." I. Horváth, Structural and Multidisciplinary Optimization 2003, Vol. 24, Issue 6 "…this is a very detailed and complete book on topics that are important in both the theory and practice of geometric modeling. It is a welcome addition to the literature. Reading it and experimenting with the techniques it describes should be a rewarding experience." Luiz Henrique de Figueiredo, MATHEMATICAL REVIEWS "... This book by Patrikalakis and Maekawa is the first thorough, long overdue, look at this curicial area. The book presents an original and inclusive summary of advanced computational topics that relate to the geometry of freeform shapes. Research in these computational areas has matured to a point where such a compendium is no longer nice to have on one's shelf, but a necessity for the serious investigator. The book handles computational problems that represent fundamental components in any solid modeling environment, filling a vacuum in the literature. It will serve well any researcher, either in academia or industry, working in the area of freeform design or manusfacturing. This work continues from the point where the traditional geometric design and solid modeling books stop. ... Shape interrogation and computational geometry of freeform shapes have been a part of the geometric design and manufacturing community for a long time. This book makes efforts and is likely to become the 'Bible' for this area. As a high-quality produced book, it is a must reference for any advanced researcher or developer who works with splines and freeform representations. If you consider yourself one, this book should probably be on your bookshelf. I eagerly await what the first revision of this book may yield." Gershon Elber, Computer-Aided Design 35 (2003) 1053 "‘Shape Interrogation’ in general means the process of extracting information from a geometric model. … The aim of this text is to provide an exhaustive list of tools and algorithms useful for shape interrogation of freeform curves and surfaces. Their effectivity depends on the end user’s capability of solving systems of nonlinear equations, which is one reason for the author’s focus on robust polynomial solvers." (Johannes Wallner, Zentralblatt MATH, Vol. 1035, 2004) "‘Shape Interrogation’ is the process of extracting information from a geometric model. … This book provides a bridge between the areas of geometric modeling and solid modeling. Apart from the differential geometry topics covered, the entire book is based on the unifying concept of recasting all shape interrogations problems to the solution of a nonlinear system. … The book can serve as a textbook for teaching advanced topics of geometric modeling for graduate students as well as professionals in industry." (deslab. mit.edu, October, 2003) "This book gives a detailed description of algorithms and computational methods for shape interrogation … . The book can be used in a course for advanced graduate students and also as a reference text for researchers and practitioners in CAD/CAM. … is a very detailed and complete book on topics that are important in both the theory and the practice of geometric modeling. It is a welcome addition to the literature. Reading it and experimenting with the techniques it describes should be a rewarding experience." (Luiz Henrique de Figueiredo, Mathematical Reviews, 2003 a) "Shape interrogation and computational geometry of free-form shapes have been a part of the geometric design and manufacturing community for a long time. This book makes a first triumphant attempt at summarizing these research efforts and is likely to become the ‘Bible’ for this area. As a high-quality produced book, it is a must reference for any advanced researcher or developer who works with splines and freeform representations. If you consider yourself one, this book should probably be on your bookshelf." (Gershon Elber, Computer Aided Design, Vol. 35, 2003) "The book focuses on the topic of getting shape information from the geometric models of sculptured objects. … Containing 408 pages, the book can be an indispensable reference for anybody with interest in this field of computer aided geometric design and software development. … the text is sufficiently illustrated with figures and the production of the book is of good quality. … The book can be offered as a textbook for teaching advanced topics of geometric modeling for graduate students." (I. Horváth, Structural and Multidisciplinary Optimization, Vol. 24 (6), 2003) "This book provides the mathematical fundamentals as well as algorithms for various shape interrogation methods including nonlinear polynomial solvers, intersection problems, differential geometry of intersection curves, distance functions, curve and surface interrogation, umbilics and lines of curvature, geodesics, and offset curves and surfaces. … The book will inform and enlighten professionals in industry and therefore remains essential reading for them too." (Current Engineering Practice, Vol. 45 (3-4), 2002-03)Table of ContentsRepresentation of Curves and Surfaces.- Differential Geometry of Curves.- Differential Geometry of Surfaces.- Nonlinear Polynomial Solvers and Robustness Issues.- Intersection Problems.- Differential Geometry of Intersection Curves.- Distance Functions.- Curve and Surface Interrogation.- Umbilics and Lines of Curvature.- Geodesics.- Offset Curves and Surfaces.

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Book SynopsisAn komplexe Karosserie-Blechformteile werden seitens der Automobilindustrie allerhöchste Anforderungen hinsichtlich Funktionalität und Oberflächenqualität gestellt. Um diese Anforderungen zu erfüllen, wird ein entsprechender Methodenplan entwickelt. Das geplante Werk führt zunächst in Grundlagen von Karosseriebau, Umform- und Werkstofftechnik, Werkzeugtechnik und Pressentechnik ein, soweit diese für die Herstellung von Karosserieteilen relevant sind. Auf Basis dieser Grundlagen wird im Hauptteil die Thematik der Methodenplanung behandelt, wobei der komplexe Planungsprozess zunächst auf ein sequentielles Gedankenmodell herunter gebrochen wird. Schließlich wird anhand von Praxisbeispielen aufgezeigt, wie die zuvor sequentiell behandelten Planungsschritte zum Teil gleichzeitig, zum Teil nacheinander in mehreren Iterationsschleifen in der Praxis abgearbeitet werden. Bei allen Ausführungen steht stets die Erfüllung der qualitätsmäßigen Anforderungen, die heute an moderne Karosserieteile gestellt werden, im Vordergrund.Table of ContentsEinleitung.- Karosserietechnik und Karosseriewerkstoffe.- Plastizitätstheoretische und werkstofftechnische Grundlagen.- Verfahrenstechnische Grundlagen der Karosserieteilherstellung. Werkzeugtechnik und Werkzeugherstellungsprozess.- Grundlagen der Maschinen- und Anlagentechnik.- Fertigungsplanung und Fertigungsstrategien.- Methodenplanung.- Sachwortregister.- Literaturverzeichnis.

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Book SynopsisDieses Buch richtet sich gezielt an die große Gruppe der Prozesseigner, die in ihrem Unternehmen für einen oder mehrere Geschäfts- und Produktionsprozesse verantwortlich sind. Ihre Rolle ist wichtig, damit Prozessmanagement insgesamt gelingt. Geschulte Prozesseigner ermöglichen Standards zu etablieren und dezentral erkannte Verbesserungspotenziale zu erschließen. Hierzu müssen sie Führungsverantwortung übernehmen, ohne über disziplinarische Durchgriffsmöglichkeiten zu verfügen. Dieses Buch bietet Prozesseignern praxisnah konkrete Anleitungen, wie sie ihrer Aufgabe gerecht werden.Table of ContentsWarum Unternehmen Prozessmanagement nutzen - Prozesse schrittweise entwickeln - Der Fall FULLSERVICE-STRUKTURBETRIEB - Methoden der Prozessintensivierung - Prozesse bewerten - Prozesse von Prozesseignern

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Book Synopsis

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Book Synopsis​Die virtuelle Entwicklung ist als wesentlicher Bestandteil im Entwicklungsprozess neuer Produkte etabliert. Virtual Reality (VR) – ein Teilbereich der virtuellen Entwicklung – bietet die Möglichkeit, durch schnelle Visualisierung und freie Interaktion die Designfindung zu unterstützen, Ergonomie- und Montageuntersuchungen durchzuführen sowie Entwicklungsstände frühzeitig auf Fehler zu untersuchen. Martin Rademacher entwickelt ein Vorgehensmodell, mit dem sich die Einsatzfähigkeit der VR für Fragestellungen im automobilen Entwicklungsprozess in einem nutzer- und aufgabenzentrierten Kontext untersuchen lässt und wendet es auf den Aufgabenbereich „Absicherung der Anmutung und Qualität“ in einem Automobilunternehmen an.Table of Contents​Virtual Reality.- Produktentwicklungsprozess.- Akzeptanz und Usability.- Usability Engineering von Virtual Reality.- Vorgehensmodell zur Evaluation von VR-Arbeitssystemen.

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Book SynopsisHendrik Hopf entwickelt eine Methodik zur Fabriksystemmodellierung im Kontext von Energie- und Ressourceneffizienz (FSMER), welche ein planungsunterstützendes Werkzeug für die nachhaltigkeitsorientierte Fabrikplanung darstellt. Die Methodik setzt sich aus einem Metamodell, vier Fabriksystemkonzepten, einem Referenzmodell sowie einem Vorgehensmodell zusammen. Ziel ist es, die Fabrik ganzheitlich, methodisch und modellgestützt, mit Fokus auf die Zielgrößen Energie- und Ressourceneffizienz in frühen konzeptionellen Planungsphasen abzubilden, Wirkbeziehungen zu erklären sowie Potenziale zur Effizienzsteigerung aufzuzeigen. Komplexe Zusammenhänge einer Fabrik und die Auswirkungen von Planungsentscheidungen können somit in vereinfachter und grafisch orientierter Form dargestellt und beurteilt werden.Table of ContentsModellierung von Systemen.- Energie-/ressourceneffiziente Fabrik.- Fabriksystemkonzepte.- Referenzmodell des Fabriksystems.- Evaluation der Methodik.

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Book SynopsisBernhardt Lüddecke bietet einen umfassenden Einblick in Kennfeldvermessung und Berechnung von Abgasturboladern. Mit experimentellen und numerischen Untersuchungen zur Aero-Thermodynamik sowie zu Reibungsverlusten und Wärmeströmen verdeutlicht er die Eigenschaften dieser kompakten Maschinen. Mithilfe einer neuartigen Drehmoment-Messtechnik konnte der Autor erstmals kurbelwinkelaufgelöst das momentane Drehmoment einer Abgasturboladerturbine geringer Baugröße unter realen motorischen Bedingungen ermitteln. Die vorliegende Studie erlaubt es, auf ein quasi-stationäres Turbinenverhalten auch unter pulsierender Beaufschlagung zu schließen, was für aussagekräftige Simulationen aufgeladener Motoren von wesentlicher Bedeutung ist.Table of ContentsExperimentelle und numerische Untersuchungen an Verdichter- und Turbinenstufen von Abgasturboladern.- Modellierung von Wärmeströmen und Lagerreibleistung zur Kennfeldkorrektur.- Messverfahren für die Turbinenkennfeldermittlung am Heißgasprüfstand.- Motorzyklusaufgelöste, kontaktlose Messung des Turboladerwellendrehmoments mittels inverser Magnetostriktion.- Turbinenbetriebsverhalten unter stationären und pulsierenden Randbedingungen.

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Book SynopsisDas Buch vermittelt Konzepte, zeigt aktuelle Trends wie agile Methoden, stellt Anwendungsszenarien für die Modellierung und Implementierung von Geschäftsprozessen im Zeitalter der Digitalisierung vor. Das Herausgeberwerk basiert dabei auf Fragestellungen aus der unternehmerischen Praxis. Schwerpunkte sind innovative Analysemethoden, kontextsensitive und wissensintensive Geschäftsprozesse sowie aktuelle Ansätze bei der Umsetzung. Fallstudien runden das Buch ab. Es wendet sich sowohl an Berater und Projektverantwortliche als auch an Studierende und Lehrende.Table of ContentsTrends im Geschäftsprozessmanagement (GPM) - Analyse von Geschäftsprozessen - Kontextsensitive Geschäftsprozesse - Wissensintensive Geschäftsprozesse - Implementierung von Geschäftsprozessen - Fallstudien

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Book SynopsisMobilität dominiert unser Leben. Der Straßenverkehr ist sowohl Keimzelle als auch Lebensader unserer modernen Gesellschaft. Doch wie kann man diesen fassen, planen und berechnen? Während der öffentliche Nahverkehr zumeist vorgegebenen Strukturen folgt – wie zum Beispiel ein Zug seinen Schienen – wirken die Bewegungen des Individualverkehrs chaotisch für den außenstehenden Beobachter. Dieses essential bringt Ordnung in das Chaos und setzt sich mit der mikroskopischen Verkehrssimulation auseinander. Michael Moltenbrey konzentriert sich auf die Vermittlung eines sehr einfachen und rudimentären Verkehrsmodells, welches die Bewegungen einzelner Fahrzeuge abbildet. Auf den ersten Blick sind die Bewegungen der einzelnen Verkehrsteilnehmer unvorhersehbar. Auf den zweiten erkennt man wiederkehrende Strukturen und Muster, die helfen, das Gesamtkonzept Verkehr besser zu erfassen.Table of ContentsEinführung.- Was ist Verkehr?.- Welche Arten von Simulationen gibt es?.- Ein einfaches Zellularautomatenmodell.- Es geht auch schneller –Überholmanöver und Mehrspurigkeit. - Auf dem Weg zu einer Stadt – Kreuzungen und Ampeln.- Nicht nur Autos fahren – Heterogener Verkehr.- Gesamtmodell.- Diskussion und Ausblick.

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Book SynopsisDieses Buch behandelt die mathematischen Aspekte der modernen Bildverarbeitungsmethoden. Besonderer Schwerpunkt liegt dabei auf der Präsentation von Grundideen und Konzepten. Es werden eine Vielzahl moderner mathematischer Methoden behandelt, welche zur Lösung wichtiger, grundlegender Probleme der Bildverarbeitung eingesetzt werden. Die Grundprobleme umfassen zum Beispiel Entrauschen, Scharfzeichnen, Kantenerkennung, Inpainting. Neben elementaren Methoden wie Punktoperationen, linearen oder morphologischen Filtern stellt das Buch insbesondere neuere Methoden wie partielle Differentialgleichungen und Variationsmethoden vor. Trade Review"[...] it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual." Zentralblatt MATH, 1220-2011Table of ContentsEinleitung: Was sind Bilder? Problemstellungen der klassischen Bildverarbeitung - Grundlegende Werkzeuge: Grauwerttransformationen. Glättungs- und Schärfungsmethoden. Lineare Filter. Morphologische Filter - Diskrete und kontinuierliche Betrachtungsweise: Interpolation. Die kontinuierliche Fourier-Transformation. Fourier-Reihen. Gefensterte Fourier-Transformation. Kontinuierliches Filtern und die Wärmeleitungsgleichung - Axiomatische Bildverarbeitung: Skalenraum-Axiome. Beispiele für Multiskalen-Analysen. Grundlegende Theorie. Die Standard PDE-Modelle - Variationsmethoden: Motivation und Vorbemerkungen. Anwendungen

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Book SynopsisA major objective of this monograph is to present an agent-based simulation of artificial populations. The focus is on possible unexpected or catastrophic events that may spontaneously appear in simulations. A short recall of the tenets of the theory of catastrophes is given. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes and unexpected events in artificial populations are simulated. The book presents a new modeling and simulation tool, applied to social system simulation. The models are coded in the object- and agent-oriented language Bluesss (Blues Simulation System), related to the C++ language. The program code consists of a series of generic declarations of processes. Each of them includes a number of events that are coded in C++. At the runtime, a population of objects is generated. All the objects (agents) start to execute their own events, and interact with one another. During the simulations it is possible to observe the macro-behavior of the population, where some unexpected or "catastrophic" events occur. The examples include a stock market crash, catastrophes in extended prey–predator systems, growing organisms and cancer, epidemics, social inequality and economic decay, mass-service systems, and more. Remarks on possible simultaneous events are also included.Table of ContentsPreface.- Chapter 1. Catastrophes and agent-based models.- Chapter 2. BLUESSS simulation package.- Chapter 3. Behavior patterns of an artificial society.- Chapter 4. Extended prey-predator model.- Chapter 5. Stock market: Uncertainty and catastrophes.- Chapter 6. Epidemics.- Chapter 7. Growing organism and cancer.- Chapter 8. Work, salary and Gini.- Chapter 9. Waiting lines.- Chapter 10. Simultaneous events, semi-discrete events and chicken.- Index.

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Book SynopsisThis book presents the select proceedings of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering (ICCEMME 2020). The book discusses the recent researches and concrete findings in the field of mechanical design and automation with its allied branches. Various topics covered in this book include modeling and simulation, application of modelling to complex real-world systems, application of machine or deep learning in mechanical problems, artificial intelligence, vehicle design, robotics, vehicle dynamics and control, biomechanics, and vibration-related problems. Given its content, the book will be useful for beginners, researchers, and professionals interested in the field of mechanical engineering. Table of ContentsBondgraph Analysis of Dynamic Interaction between the Concrete Slab and Subgrade for High Speed Track.- Identification of Damping in Sandwich Beam.- Effect of Groove Dimensions on Pressure Profile of Twin Axial Groove Hybrid Journal Bearing.- Method of Obtaining Planar State of Stress Using Mohr’s Circle- Some Typical cases.- Computational modeling of bubble formation on submerged orifice.- Design and Development of a Multivariant Exercise Ma-chine (MEM) for the patients suffering from spine-related problems.- Parametric Study and Optimization in Deep Drawing of Head light Reflector.- Numerical Simulation of a Race Car Wing Operating in the Wake of Leading Vehicle with Varying Diffuser Angles.

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Book SynopsisThis book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.Table of ContentsStrongly Prime Radicals and S-primary Ideals in Posets.- Association Schemes over Some Finite Group Rings.- Rings whose nonunits are multiple of unit and strongly nilpotent element.- Improved Lower Bounds on Second Order Nonlinearities of Cubic Boolean Functions.- Ces`aro-Riesz Product Summability φ − |C1R; δ|q Factor for an Infinite Series.- Ostrowski’s Type Inequalities with Exponentially Convex Functions and its Applications

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Book SynopsisThis book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.Table of ContentsIntroduction.- Data Analysis and Mathematical Modeling for Covid-19 Pandemic.- Influence of Covid-19 on Quality of Work Life in Real Estate Sector.- Influence of Covid-19 on Quality of Work Life in Education Sector.- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries.- Influence of Covid-19 on Quality of Work Life in Agriculture Sector.

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Book SynopsisIt is estimated that windows in office buildings are responsible for one third of energy used for their heating and cooling. Designing window shading that balances often contradictory goals of preventing excessive heat gains in hot periods, without compromising beneficial heat gains in cold periods or visual comfort in indoor spaces of modern buildings with highly glazed facades, is an interesting multi-objective optimisation problem that represents an active research topic in the field of building energy and daylighting. Window overhangs are the simplest and most traditional shading devices that are easy to install, highly cost-effective, require low or no maintenance and offer unobstructed views outside. This book provides a review of overhang design methods for optimal thermal and daylighting performance. It starts with a historical overview of methods based on solar positions and shading masks. Next it discusses current research methodology, including shading calculation methods, ways of quantifying thermal and daylighting overhang effectiveness and the use of multi-objective optimisation approaches, together with the case studies that employ them. It further covers methods for designing innovative overhang types such as NURBS outlined overhangs and PV integrated dynamic overhangs. The appendix classifies published overhang case studies according to major climate type and latitude of their locations. As such, the book presents a valuable resource for understanding subtle nuances of interaction between solar radiation, shading devices and indoor comfort. The intended target audience are building energy researchers interested in optimisation of window shading devices.​Table of ContentsChapter 1. Introduction.- Chapter 2 Solar path methods.- Chapter 3 Current overhang research methodology.- Chapter 4 Design methods for particular overhang types.- Chapter 5 A Locations and climates of overhang case studies.- References​

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Book Synopsis​This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming.Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions.Trade Review“This book provides a detailed guide to Pyomo for beginners and advanced users from undergraduate students to academic researchers to practitioners. … the book is a good software guide which I strongly recommend to anybody interested in looking for an alternative to commercial modeling languages in general or in learning or intensifying their Pyomo skills in particular.” (Christina Schenk, SIAM Review, Vol. 61 (1), March, 2019)Table of Contents1. Introduction.- Part I. An Introduction to Pyomo.- 2. Mathematical Modeling and Optimization.- 3. Pyomo Overview.- 4. Pyomo Models and Components.- 5. The Pyomo Command.- 6. Data Command Files.- Part II. Advanced Features and Extensions.- 7. Nonlinear Programming with Pyomo.- 8. Structured Modeling with Blocks.- 9. Generalized Disjunctive Programming.- 10. Stochastic Programming Extensions.- 11. Differential Algebraic Equations.- 12. Mathematical Programs with Equilibrium Constraints.- 13. Bilevel Programming.- 14. Scripting.- A. A Brief Python Tutorial.- Index.

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Table of Contents1. Introduction I - WAVE ENERGY CONVERTER MODELLING TECHNIQUES BASED ON LINEAR HYDRODYNAMIC THEORY 2. Frequency-Domain Models 3. Time-Domain Models 4. Spectral-Domain Models II - OTHER WAVE ENERGY CONVERTER MODELLING TECHNIQUES 5. Nonlinear Potential Flow Models 6. Computational Fluid Dynamics (CFD) Models 7. Identifying Models Using Recorded Data III - WAVE ENERGY CONVERTER ARRAY MODELLING TECHNIQUES 8. Conventional Multiple Degree-of-Freedom Array Models 9. Semi-analytical Array Models 10. Phase-Resolving Wave Propagation Array Models 11. Phase-Averaging Wave Propagation Array Models IV - APPLICATIONS FOR WAVE ENERGY CONVERTER MODELS 12. Control Optimisation and Parametric Design 13. Determining Mean Annual Energy Production 14. Determining Structural and Hydrodynamic Loads 15. Environmental Impact Assessment

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisSince the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models. The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as Table of ContentsChapter 1. Innovation in Business Models. Chapter 2. Business Models in the Digital Transformation Era. Chapter 3. Value Composition for Business Models og High-Growth Enterprises. Chapter 4. The Variety of Aspects of Business Models in the High-Growth and High Tech Enterprises: An Estonian Case. Chapter 5. External Conditions of Profitability of Business Models of High-Growth Enterprises. Chapter 6. Analyzing the Employer Branding Business Models Based on Primary Research Results. Chapter 7. Models of Responsible Business: CSR from a Social and Economic Perspective. Chapter 8. Cyber Protection: Industrialized Assessments for Analyzing Cyber Risk. Chapter 9. Applied Data Analytics.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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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

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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

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