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Simulation diskreter Prozesse: Methoden und Anwendungen

by Ulrich Hedtstück

Dieses Buch führt in die Simulation diskreter Prozesse ein. Typische Anwendungsbeispiele sind Fertigungsprozesse, Strassenverkehrssituationen, Menschenströme und Geschäftsprozesse. Der Autor vermittelt die grundlegende ereignisorientierte Simulation sowie deren programmiertechnische Realisierung. Anhand vieler Beispiele wird die Lösung spezieller Detailprobleme mit grundlegendem Charakter gezeigt. Die durch die Optimierung von Geschäftsprozessen entstandenen neuen Herausforderungen bezüglich der Simulation bilden einen Schwerpunkt der Darstellung, ein separater Teil ist den theoretischen Grundlagen gewidmet. Lernziel des Buches ist die Fähigkeit, diskrete Prozesse mit den passenden Mitteln zu modellieren und dazu eine Simulationssoftware zu entwerfen bzw. die Mechanismen bestehender Simulationssoftware so zu begreifen, dass sie gewinnbringend eingesetzt werden kann. Die wichtigen Programmstrukturen sind in Form von Pseudocode dargestellt und dadurch völlig unabhängig von einer Programmiersprache oder Spezialsoftware. Damit ist das Buch für eine breite Leserschaft geeignet.

Simulation-Driven Design by Knowledge-Based Response Correction Techniques

by Leifur Leifsson Slawomir Koziel

Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i. e. , not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient. The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.

Simulation for Data Science with R

by Matthias Templ

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies * A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation * This book is written by the Amazon best-selling author of Learning Statistics (The easier Way) with R Who This Book Is For This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required. What You Will Learn * The book aims to explore advanced R features to simulate data to extract insights from your data. * Get to know the advanced features of R including high-performance computing and advanced data manipulation * See random number simulation used to simulate distributions, data sets, and populations * Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations * Applications to design statistical solutions with R for solving scientific and real world problems * Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more. In Detail Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world. The book will provide a computational and methodological framework for statistical simulation to the users. Through this book, you will get in grips with the software environment R. After getting to know the background of popular methods in the area of computational statistics, you will see some applications in R to better understand the methods as well as gaining experience of working with real-world data and real-world problems. This book helps uncover the large-scale patterns in complex systems where interdependencies and variation are critical. An effective simulation is driven by data generating processes that accurately reflect real physical populations. You will learn how to plan and structure a simulation project to aid in the decision-making process as well as the presentation of results. By the end of this book, you reader will get in touch with the software environment R. After getting background on popular methods in the area, you will see applications in R to better understand the methods as well as to gain experience when working on real-world data and real-world problems. Style and approach This book takes a practical, hands-on approach to explain the statistical computing methods, gives advice on the usage of these methods, and provides computational tools to help you solve common problems in statistical simulation and computer-intense methods.

Simulation for Industry 4.0: Past, Present, and Future (Springer Series in Advanced Manufacturing)

by Murat M. Gunal

The book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.

Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures: 48th International Simulation And Gaming Association Conference, Isaga 2017, Delft, The Netherlands, July 10-14, 2017, Revised Selected Papers (Theoretical Computer Science and General Issues #10825)

by Heide Karen Lukosch Geertje Bekebrede Rens Kortmann

This book constitutes the refereed post-conference proceedings of the 48th International Simulation and Gaming Association Conference, ISAGA 2018, held in Delft, The Netherlands, in July 2018. The 19 revised full papers included in the volume were carefully reviewed and selected from 27 submissions. The contributions to this book range from design thinking related to simulation gaming, the analysis of the consequences of design choices in games, to games for decision making, examples of games for business, climate change, maritime spatial planning, sustainable city development, supply chain, and much more.

Simulation Methods for Reliability and Availability of Complex Systems

by Jose Emmanuel Ramirez-Marquez Sebastián Salvador Martorell Alsina Javier Faulin Angel A. Juan

Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.

Simulation Modeling Handbook: A Practical Approach

by Christopher A. Chung

The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support materi

Simulation of Urban Mobility

by Michael Behrisch Daniel Krajzewicz Melanie Weber

This book constitutes the thoroughly refereed proceedings of the First International Conference on Simulation of Urban Mobility, SUMO 2013, held in Berlin, Germany, in May 2013. The 12 revised full papers presented tin this book were carefully selected and reviewed from 22 submissions. The papers are organized in two topical sections: models and technical innovations and applications and surveys.

Simulation Science: Second International Workshop, SimScience 2019, Clausthal-Zellerfeld, May 8-10, 2019, Revised Selected Papers (Communications in Computer and Information Science #1199)

by Marcus Baum Nina Gunkelmann

This book constitutes the refereed proceedings of the Second International Workshop on Simulation Science, held in Clausthal-Zellerfeld, in May 2019. The 12 full papers were carefully reviewed and selected from 47 submissions. The papers are organized according to the following topics: optimization and distributed simulations; simulation of materials; self-organized and porous structures; simulation of materials: finite element and multiscale methods.

Simulation Science: First International Workshop, Simscience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers (Communications In Computer And Information Science #889)

by Stefan Hartmann Anita Schöbel Jens Grabowski Marcus Baum Gunther Brenner Thomas Hanschke

This book constitutes the thoroughly refereed proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, held in Göttingen, Germany, in April 2017. The 16 full papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on simulation and optimization in networks, simulation of materials, distributed simulations.

Simulation Tools and Techniques: 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #295)

by Houbing Song Dingde Jiang

This volume constitutes the refereed post-conference proceedings of the 11th International Conference on Simulation Tools and Techniques, SIMUTools 2019, held in Chengdu, China, in August 2019. The 97 revised full papers were carefully selected from 156 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.

Simulation Training: Fundamentals and Applications

by Philippe Fauquet-Alekhine Nane Pehuet

Drawing on decades of industrial experience, this insightful and practical guide uses case studies and an interdisciplinary perspective to explain the fundamentals of simulation training to improve performance of high-risk professional activities. It seeks to identify those conditions under which simulation training has been shown to improve professional practice while employing extensive real examples. Simulation Training: Fundamentals and Application helps readers to develop their own synthesis of the simulation learning method and to use such training to enhance their skills and performance. Case studies demonstrate five specific theatres of professional practice - the nuclear-power industry, aeronautics, surgery, anesthesia and metallurgy - and then detailed analysis highlights the common factors and key results. The author's background as a Human Factors Consultant, Physicist and Physiologist has enriched studies of humans in work situations, work organization and management and he has also been involved in pedagogical conception of experimental training on simulators based on his experience as a safety expert on nuclear power plant. The book is useful to practitioners, researchers and students, both in industry and in university. It is clearly cross disciplinary as it presents and discusses applications in engineering, professional practice (airline pilots) and medicine.

Simulation und Optimierung in Produktion und Logistik

by Lothar März Gerald Weigert Oliver Rose Wilfried Krug

Die simulationsgestützte Optimierung von Produktportfolios und Produktionsketten birgt großes Potenzial - Berichte über Kopplungen von Simulation und Optimierung sind aber rar. Der Band liefert erstmals deutschsprachige Anwendungsbeispiele und einen Überblick über die Möglichkeiten von Simulation und Optimierung. Anders als standardisierte Planungsansätze können mithilfe der Simulation auch dynamische Produktions- und Logistikprozesse analysiert werden. Bei gezielter Vernetzung von Logistikabläufen lassen sich so unerwünschte Liegezeiten vermeiden.

Simulations as Scaffolds in Science Education

by Maggie Renken Melanie Peffer Kathrin Otrel-Cass Isabelle Girault Augusto Chiocarriello

This book outlines key issues for addressing the grand challenges posed to educators, developers, and researchers interested in the intersection of simulations and science education. To achieve this, the authors explore the use of computer simulations as instructional scaffolds that provide strategies and support when students are faced with the need to acquire new skills or knowledge. The monograph aims to provide insight into what research has reported on navigating the complex process of inquiry- and problem-based science education and whether computer simulations as instructional scaffolds support specific aims of such pedagogical approaches for students.

Simulations for Design and Manufacturing: Select Papers From Aimtdr 2016 (Lecture Notes On Multidisciplinary Industrial Engineering)

by Uday S. Dixit Ravi Kant

This book focuses on numerical simulations of manufacturing processes, discussing the use of numerical simulation techniques for design and analysis of the components and the manufacturing systems. Experimental studies on manufacturing processes are costly, time consuming and limited to the facilities available. Numerical simulations can help study the process at a faster rate and for a wide range of process conditions. They also provide good prediction accuracy and deeper insights into the process. The simulation models do not require any pre-simulation, experimental or analytical results, making them highly suitable and widely used for the reliable prediction of process outcomes. The book is based on selected proceedings of AIMTDR 2016. The chapters discuss topics relating to various simulation techniques, such as computational fluid dynamics, heat flow, thermo-mechanical analysis, molecular dynamics, multibody dynamic analysis, and operational modal analysis. These simulation techniques are used to: 1) design the components, 2) to investigate the effect of critical process parameters on the process outcome, 3) to explore the physics of the process, 4) to analyse the feasibility of the process or design, and 5) to optimize the process. A wide range of advanced manufacturing processes are covered, including friction stir welding, electro-discharge machining, electro-chemical machining, magnetic pulse welding, milling with MQL (minimum quantity lubrication), electromagnetic cladding, abrasive flow machining, incremental sheet forming, ultrasonic assisted turning, TIG welding, and laser sintering. This book will be useful to researchers and professional engineers alike.

Simulations in Swift 5: Design and Implement with Swift Playgrounds

by Beau Nouvelle

Design and implement simulations using Apples Swift Playgrounds. Computer simulations are used to replicate the physical systems we see all around us. They help us solve problems by performing experiments that may otherwise be impossible in the real world. This book uses simulations to solve counter-intuitive logic puzzles, create procedural artworks, and build habitats for digital lifeforms. To help you create your own simulations using the Swift programming language, this book is filled with projects that you can easily follow along with. All you need is a Mac with the latest version of Xcode installed. All projects are written in Xcode’s Playgrounds. This keeps the process simple. No need to setup an Apple account, or learn anything further about building apps.Simulations are used in many areas within computer science and yet, barely anyone is teaching them. Sure, the fundamentals are in algorithm design, but simulations are a step above that. Usually when writing an algorithm you have a specific outcome in mind. However, when you create a simulation, the system you are modelling can be far more unpredictable than sorting a list, or navigating a maze. Simulations in Swift 5 will guide you through all of this.What You'll LearnSimulate situations with advanced algorithms to solve advanced problemsIncorporate real-world physics into simulated problemsPredict biological and other systems behavior and the outcome of events based on presented factorsWho This Book Is ForSwift programmers interested in tackling fun projects in Swift involving advanced algorithms and factors

Simulator-based Human Factors Studies Across 25 Years

by Ann Britt Skjerve Andreas Bye

The Halden Man-Machine Laboratory (HAMMLAB) has been at the heart of human factors research at the OECD Halden Reactor Project (HRP). The HRP is sponsored by a group of national organizations, representing nuclear power plant regulators, utilities, and research institutions. The HRP is hosted by the Institute for Energy Technology (IFE) in Halden, Norway. HAMMLAB comprises three full-scale nuclear power plant control room research simulators. The simulator studies performed in HAMMLAB have traditionally been experimental in nature. In a simulator it is possible to study events as they unfold in real time, in a highly realistic operational environment under partially controlled conditions. This means that a wide range of human factors issues, which would be impossible or highly impracticable to study in real-life settings, can thus be addressed in HAMMLAB. Simulator-based Human Factors Studies Across 25 Years celebrates the twenty-fifth anniversary of HAMMLAB by reviewing the human factors studies performed in HAMMLAB across this time-span. A range of human factors issues have been addressed, including: * human-system interfaces; * alarm systems; * computerized procedures; * human-automation interaction; * staffing, teamwork and human reliability. The aim of HAMMLAB studies has always been the same: to generate knowledge for solving current and future challenges in nuclear power plant operation to contribute to safety. The outcomes of HAMMLAB studies have been used to support design and assessment of nuclear power plant control rooms.

Simulators for Transportation Human Factors: Research and Practice (The Human Factors of Simulation and Assessment Series)

by Mark Young Michael Lenné

Simulation continues to be a growth area in transportation human factors. From empirical studies in the laboratory to the latest training techniques in the field, simulators offer myriad benefits for the experimenter and the practitioner. This book draws together current trends in research and training simulators for the road, rail, air and sea sectors to inform the reader how to maximize both validity and cost-effectiveness in each case. Simulators for Transportation Human Factors provides a valuable resource for both researchers and practitioners in transportation human factors on the use of simulators, giving readers concrete examples and case studies of how simulators have been developed and used in empirical research as well as training applications. It offers useful and usable information on the functional requirements of simulators without the need for any background knowledge on the technical aspects, focusing on the state of the art of research and applications in transport simulators rather than the state of the art of simulation technology. The book covers simulators in operational terms instead of task simulation/modelling and provides a useful balance between a bottom-up, academic approach and a top-down, practical perspective.

Sinatra: Ruby for the Web, Simply

by Alan Harris Konstantin Haase

<p>Sinatra gives developers a small but powerful and scalable framework for building web applications with Ruby. This introduction gets readers started, helping them to build, install, and polish a first application. It also explores how Sinatra fits in the web application ecosystem, especially in comparison to its far larger cousin, Ruby on Rails.</p>

Single Cell Sequencing and Systems Immunology

by Xiangdong Wang

The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author's personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.

Single-DC-Source Multilevel Inverters (SpringerBriefs in Electrical and Computer Engineering)

by Hani Vahedi Mohamed Trabelsi

The purpose of the book is to distinguish the single-de-source multilevel inverter topologies and to teach their control, switching and voltage balancing. It will include new information on voltage balancing and control of multilevel inverters. The book will answer some important questions about the revolution of power electronics converters: 1- Why multilevel inverter are better than 2-level ones? 2- Why single-de-source multilevel inverters are a matter of interest? 3- What are the redundant switching states and what do they do? 4- How to use redundant switching states in control and voltage balancing? 5- What are the applications of single-de-source multilevel inverters?

Single-Shot 3D Sensing Close to Physical Limits and Information Limits (Springer Theses)

by Florian Willomitzer

This thesis discusses the physical and information theoretical limits of optical 3D metrology, and, based on these principal considerations, introduces a novel single-shot 3D video camera that works close to these limits. There are serious obstacles for a “perfect” 3D-camera: The author explains that it is impossible to achieve a data density better than one third of the available video pixels. Available single-shot 3D cameras yet display much lower data density, because there is one more obstacle: The object surface must be “encoded” in a non-ambiguous way, commonly by projecting sophisticated patterns. However, encoding devours space-bandwidth and reduces the output data density. The dissertation explains how this profound dilemma of 3D metrology can be solved, exploiting just two synchronized video cameras and a static projection pattern.The introduced single-shot 3D video camera, designed for macroscopic live scenes, displays an unprecedented quality and density of the 3D point cloud. The lateral resolution and depth precision are limited only by physics. Like a hologram, each movie-frame encompasses the full 3D information about the object surface and the observation perspective can be varied while watching the 3D movie.

A Single Trapped Rydberg Ion (Springer Theses)

by Gerard Higgins

Systems of trapped ions and systems of ultracold Rydberg atoms are used at the forefront of quantum physics research and they make strong contenders as platforms for quantum technologies. Trapped Rydberg ions are a new hybrid technology envisaged to have both the exquisite control of trapped ion systems and the strong interactions of Rydberg atoms.In this work a single trapped Rydberg ion is experimentally investigated. A trapped strontium ion is excited to Rydberg states using two ultraviolet lasers. Effects of the strong trapping electric fields on the highly-sensitive Rydberg ion are studied. After mitigating unwanted trap effects, the ion is coherently excited to Rydberg states and a quantum gate is demonstrated. This thesis lays much of the experimental groundwork for research using this novel system.

Singular Spectrum Analysis with R (Use R!)

by Anatoly Zhigljavsky Nina Golyandina Anton Korobeynikov

This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular form and may contain gaps. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas, most notably those associated with time series and digital images. An effective, comfortable and accessible implementation of SSA is provided by the R-package Rssa, which is available from CRAN and reviewed in this book. Written by prominent statisticians who have extensive experience with SSA, the book (a) presents the up-to-date SSA methodology, including multidimensional extensions, in language accessible to a large circle of users, (b) combines different versions of SSA into a single tool, (c) shows the diverse tasks that SSA can be used for, (d) formally describes the main SSA methods and algorithms, and (e) provides tutorials on the Rssa package and the use of SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The book is written on a level accessible to a broad audience and includes a wealth of examples; hence it can also be used as a textbook for undergraduate and postgraduate courses on time series analysis and signal processing.

Singularity Hypotheses

by James H Moor Amnon H. Eden Johnny H Soraker Eric Steinhart

Singularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses on conjectures about the intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas. Many commentators however doubt the scientific rigor of these forecasts, rejecting them as speculative and unfounded. We therefore invited prominent computer scientists, physicists, philosophers, biologists, economists and other thinkers to assess the singularity hypotheses. Their contributions go beyond speculation, providing deep insights into the main issues and a balanced picture of the debate.

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