Datamodellering og simulering

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, ML-aided models, IoT-driven applications, and cybersecurity techniques in the era of the Industrial Revolution 4.0.

Work through multiple design projects in this part-color guide to understand how Autodesk Fusion 360 helps improve efficiency and draftingKey Features- Understand the project workflow of Autodesk Fusion 360- Design and redesign projects while learning to fix errors- Gain a better insight into repurposing real-world items into Fusion 360 for custom designs- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionAutodesk Fusion 360 has become an indispensable tool for designers, tinkerers, and engineers worldwide thanks to its versatility that allows for large-scale assemblies and smaller, quick 3D prints. If you've faced challenges with learning Fusion 360, this book will help you overcome them and build the confidence to design your own projects, explaining step-by-step instructions and the purpose of each tool.In this book, you'll dive into the design workspace and learn sketching fundamentals such as setting up a component, recognizing when a sketch is fully constrained, and parametrically flexing models. Through trial and error, you'll work on multiple easy-to-build projects to create simple, useful items that can be quickly 3D printed for use around the house and then advance to much bigger projects that require joint connectivity and large assemblies.By the end of this book, you'll be able to sketch fully parametric designs, translate them into 3D models, and create your own unique designs.What you will learn- Gain proficiency in Fusion 360 user interface, navigation, and functionality- Create and transform simple 2D sketches into 3D models- Manipulate and control parametric 2D sketches using dimensions- Become familiar with drafting on paper and taking measurements with calipers- Create a bicycle assembly part with Fusion 360- Use the form environment to create organic shapes- Render a 3D model and understand how to apply materials and lighting- Generate 2D assembly model drawings for documentation purposesWho this book is forBeginner or intermediate designers who prefer hands-on learning will find this book useful, especially designers, woodworkers, 3D printing enthusiasts, and hobbyists who enjoy creating things, rather than experienced machinists. The basic projects are accessible without prior CAD skills, although some fundamental CAD understanding is beneficial for those interested in going further. It is highly recommended that you use a 3-button mouse for all projects to fully utilize floating pop-up menus.Table of Contents- Working within the Design Workspace- Planes, Sketches, Constraints, and Parametric Dimensions- Project Building Basics- Creating a Customizable S-Hook- Designing Decorative Doorknobs- Designing a Simple Bottle Holder- Creating a Bike Reference Model- Creating a Bottle Reference Model- Building the Bottle Holder- Improving the Bottle Holder Design- The FORM Environment- Modeling a Scary Tealight Ghost- Using Form and Solid Modeling to Create a Cushioned Chair- Using a Scanned Image to Create a 3D Model- Modeling a Bottle Topper

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool--a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Iceberg tables for maximum performance How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

This 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.

This book discusses computational methods related to biological models using mathematical tools and techniques. The book chapters concentrate on numerical and analytical techniques that provide a global solution for biological models while keeping long-term benefits in mind. The solutions are useful in closely understanding biological models, and the results will be very useful for mathematicians, engineers, doctors, scientists and researchers working on real-life biological models. This book provides significant and current knowledge of biological models related to real-life applications. The book covers both methods and applications.

This book is written based on authors' research on cement hydration during the past decade. It establishes simulation model to evaluate the influence of crystal defects on the dissolution of tricalcium silicate and morphology change of particles and explores the hydration kinetics and microstructure development of tricalcium silicate under the mixed control of dissolution, diffusion, as well as boundary nucleation and growth. It also provides a theoretical basis for regulating the microstructure and performance of cement-based materials. It is designed as a reference work for professionals or practitioners and as a textbook for undergraduates or postgraduates. This book provides valuable knowledge and useful methods that can be applied in the field of cement hydration.

This unique comprehensive compendium provides extensive studies on reversible cellular automata (RCAs), exhibiting a wide range of interesting phenomena similar to the Game-of-Life, a well-known irreversible CA.The useful reference text also introduces innovative approaches to constructing universal computers in a reversible cellular space. Numerous figures are included to illustrate the evolution of RCA configurations, and to elucidate theoretical results on RCAs. Additionally, readers can observe evolution processes of various RCAs on the free CA simulator Golly using supplementary files.

This proceedings of 15th CHAOS2022 International Conference highlights recent developments in nonlinear, dynamical, and complex systems. The conference was intended to provide an essential forum for Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and Engineering Sciences.The principal aim of CHAOS2022 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data and computer techniques as well as the best theoretical achievements of chaotic theory. CHAOS2022 Conference provides a forum for bringing together the various groups working in the area of Nonlinear and Dynamical Systems, Chaotic theory and Application to exchange views and report research findings.

Integrative Omics: Concept, Methodology and Application provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference provides systemic 'step-by-step' coverage that begins with basic concepts from Omic to Multi Integrative Omics approaches followed by applications and emerging and future trends. All areas of Omics are covered, including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics, technology policy, and society research. This book covers recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.

The general format of this book is I'll start with each concept, explaining it in a bunch of sections and graphical examples. I will introduce you to some of the notations and fancy terminologies that data scientists like to use so you can talk the same language, but the concepts themselves are generally pretty simple. After that, I'll throw you into some actual Python code that actually works that we can run and mess around with, and that will show you how to actually apply these ideas to actual data.

Become a Unity Shaders Guru will help you understand Unity's latest shading tools and dive deep into its advanced features.

This Faraday Discussion volume brings together internationally leading experimental and theoretical scientists from across the fields of astronomy, chemistry, and physics to explore and exchange their ideas about our chemical understanding of the universe.

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network¿s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

This textbook for graduate and postgraduate students provides comprehensive applications of nanoparticles in medicine, agriculture, and environmental sciences. The initial chapter covers basic topics related to types, synthesis, structure, and properties of various nanoparticles. It further discusses the wide range of applications of nanoparticles in medicine, agriculture, and the environment. The book presents nano-electronic biosensors that are used to diagnose and monitor the progression of human diseases. It summarizes the opportunities and challenges of nanotechnology in the agriculture and food sector highlighting the scientific, technical, regulatory, safety, and societal impacts.Additionally, it illustrates the applications of nanotechnology in the field of aquaculture medicine, bioinformatics and food technology. The textbook examines the development and administration of nano-medicines , their applications, advantages, and limitations for the treatmentand prophylaxis of a broad range of diseases. Lastly, the textbook explores the recent advances in the field of nanobusiness and nanotechnology issues in intellectual property management( IPR).

This book describes a unique combination of quantum chemical methods for calculating the basic physical properties of luminescent materials, or phosphors. These solid inorganic materials containing an optically active dopant are key players in several major fields of societal interest, including energy-efficient lighting, solar cells, and medical imaging. The novel ab initio methods described in this book are especially designed to target the crowded and complex electronic excited states of lanthanide activators in inorganic solids. The book is well suited to both new and experienced researchers alike and appeals to a broad range of theoretical and experimental backgrounds. The material presented enables an adept understanding of elaborate calculations, which, in tandem with experiments, give essential insight into difficult luminescence problems and quandaries, thus fully preparing the reader for an educated search for new functional luminescent materials

What does platform thinking mean? It is the ability to put platform-based mechanisms at the core of digital business transformations in business.Digital platforms like Uber, Spotify, Airbnb, Booking.com, and many others completely re-shaped the daily life of millions of users. However, many innovation leaders struggle to conceive the significance of their impact. Platform-based business models are not just the real of geeks' startups, digital services, and Unicorns.This book shows there that their potential in creating value is higher than suspected.Even though platform ecosystems are complex, readers will take on a journey to become platform thinkers. Their eyes will be trained to look beyond what's visible and start reading the platform world around them. Then, they will be guided into a step-by-step process and learn how to write a new platform model from scratch.This book is the result of a decade of research. It offers both a framework and practical instruments to champion digital transformation in any organization. It is specially intended for those who are interested in the glittering platform world and are still trying to figure it out.

This book highlights the different aspects of the research project ¿E4C Horizon 2020 European Project¿ aimed at fighting the coronavirus by combining the best supercomputing resources and artificial intelligence with state-of-the-art experimental facilities up through clinical validation.Coronavirus disease has become an important public issue across the globe since December 2019. There is an urgent need to develop potent anti-COVID-19 agents for the prevention of the outbreak and stop viral infections.To this aim, a public¿private consortium composed by European and national infrastructures, center of excellence, universities, and a pharmaceutical company started the E4C Horizon 2020 EuropeanProject: Its core idea was to use the EXaSCale smArt pLatform Against paThogEns (EXSCALATE) supercomputing platform for a process known as ¿drug repurposing¿, namely to identify the most promising safe in man drugs for immediate treatment of the already infected population and then novel pan-coronavirus inhibitors to address future emergencies.This ambitious goal exploited a ¿chemical library¿ of 500 billion molecules, thanks to a processing capacity of more than 3 million molecules per second, made available by the computing power of the EXSCALATE platform.

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2021, held as a virtual event due COVID-19, in October 2021.The 30 full papers together with 2 short papers included in the volume were carefully reviewed and selected from 50 submissions. They are organized in the following topical sections: M&S of intelligent systems,  R&D and application; and AxS/AI in context of future warfare and security environment and future challenges of Advance M&S Technology.

This book provides a comprehensive review of the latest modelling developments in flow batteries, as well as some new results and insights. Flow batteries have long been considered the most flexible answer to grid scale energy storage, and modelling is a key component in their development. Recent modelling has moved beyond macroscopic methods, towards mesoscopic and smaller scales to select materials and design components. This is important for both fundamental understanding and the design of new electrode, catalyst and electrolyte materials. There has also been a recent explosion in interest in machine learning for electrochemical energy technologies. The scope of the book includes these latest developments and is focused on advanced techniques, rather than traditional modelling paradigms. The aim of this book is to introduce these concepts and methods to flow battery researcher, but the book would have a much broader appeal since these methods also employed in other battery and fuel cell systems and far beyond. The methods will be described in detail (necessary fundamental material in Appendices). The book appeals to graduate students and researchers in academia/industry working in electrochemical systems, or those working in computational chemistry/machine learning wishing to seek new application areas.

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

"The Art of Randomness teaches readers to harness the power of randomness (and Python code) to solve real-world problems in programming, science, and art through hands-on experiments-from simulating evolution to encrypting messages to making machine-learning algorithms. Each chapter describes how randomness plays into the given topic area, then proceeds to demonstrate its problem-solving role with hands-on experiments to work through using Python code"--

This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, "e;Recent Trends and Advances in Model-Based Systems Engineering,"e; reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.

Comprehensive, state-of-the-art coverage of every important simulation techniqueThis fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modeling and simulation, simulation software, model verification and validation, input modeling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimization, agent-based simulation, machine learning, and much more.Authored by an operations research analyst and industrial engineer with more than 40 years of experience, Simulation Modeling and Analysis is widely regarded as the "bible" of simulation and now has more than 178,000 copies in print and 23,700 citations. This sixth edition has been streamlined, with several chapters downsized to eliminate outdated simulation programs or statistical techniques that are rarely used in practice and are unnecessarily complicated. Most analyses of simulation output data can now be done using three simple and familiar statistical formulas or expressions. A new chapter covers AI and machine learning and their application to simulation.Covers what are arguably the three most-innovative and popular simulation-software packages: AnyLogic, FlexSim, and SimioIncludes a set of instructor's resourcesHas been used at universities such as University of California-Berkeley, Stanford, Georgia Tech, Michigan, Cornell, Purdue, Virginia Tech, Penn State, Wisconsin, Columbia, Texas A&M, Washington, and Johns HopkinsWritten by a world-class expert in the field and an experienced educator who has presented more than 550 simulation and statistics short courses in 20 countries

This book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT¿s behavior-matching with the real system or physical twin.The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilitiesin feedback control systems.The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.

This book focuses on the problem of responsibility voids: these are cases where responsibility for a morally undesirable outcome cannot be attributed to any of the involved agents. Responsibility voids are thought to occur in collective decision-making and in the context of artificial intelligent systems. In these cases, philosophers worry that there is a shortfall of moral responsibility. In particular, such voids are often assumed to justify a notion of collective responsibility that cannot be reduced to individual responsibility. One of the aims of the book is to study how collective responsibility and joint action relate to individual responsibility and individual actions. The book offers a unifying framework for modelling moral responsibility by drawing from modal logic and game theory.The book investigates the possibility and scope of the problem of responsibility voids. One of its characteristics is its pluralistic perspective on moral responsibility: in contrast to giving a unique and all-encompassing definition of it, the book makes progress by spelling out and modelling several conceptions of moral responsibility. One of the appealing features of the book is that a relatively small range of models is used to investigate a variety of conceptions of moral responsibility. The unifying framework can thus be used to characterize the conditions under which responsibility voids are ruled out.