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Simulation for Data Science with R
by Matthias TemplHarness 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. GunalThe 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 Rens Kortmann Geertje Bekebrede Heide Karen LukoschThis 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 Gaming Through Times and Disciplines: 50th International Simulation and Gaming Association Conference, ISAGA 2019, Warsaw, Poland, August 26–30, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11988)
by Marcin Wardaszko Sebastiaan Meijer Heide Lukosch Hidehiko Kanegae Willy Christian Kriz Mariola Grzybowska-BrzezińskaThis book constitutes revised selected papers from the 50th International Simulation and Gaming Association Conference, ISAGA 2019, which took place in Warsaw, Poland, during August 26–30, 2019.The 38 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: simulation gaming in the science space; simulation gaming design and implementation; simulation games for current challenges; simulation games and gamification; and board perspective on simulation gaming.
Simulation Methods for Reliability and Availability of Complex Systems
by Jose Emmanuel Ramirez-Marquez Sebastián Salvador Martorell Alsina Javier Faulin Angel A. JuanSimulation 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. ChungThe 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 Modelling: Concepts, Tools and Practical Business Applications
by Andrew GreasleyWhile simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.
Simulation nichtlinearer Schaltungen in der Leistungselektronik mit Python: Ein Open-Source-Simulator, basierend auf Python™
by Shivkumar V. IyerDieses Buch bietet eine eingehende Diskussion zur Schaltungssimulation, indem es grundlegende elektrische Schaltungstheorie mit Python-Programmierung kombiniert. Es schließt eine Informationslücke, indem es die Entwicklung von Python Power Electronics beschreibt, einer Open-Source-Software zur Simulation von Schaltungen, und ihre Anwendung anhand eines Beispiels zeigt. Im Gegensatz zu typischen Büchern über Schaltungstheorie, die beschreiben, wie Schaltungen mathematisch gelöst werden können, gefolgt von Beispielen zur Simulation unter Verwendung spezifischer kommerzieller Software, verfolgt dieses Buch einen anderen Ansatz. Der Autor beschreibt zunächst jeden Aspekt der Open-Source-Software im Kontext nichtlinearer Leistungselektronikschaltungen. Dies dient als Grundlage für angehende oder praktizierende Ingenieure, um die Entwicklung von Open-Source-Software für verschiedene Zwecke voranzutreiben. Durch die explizite Demonstration des Betriebs der Software mittels Algorithmen vereint dieses Buch die Gebiete Elektrotechnik und Softwaretechnologie.
Simulation of Local Area Networks
by Matthew N. SadikuA fast-growing area in the communications industry is the internetworking of an ever-increasing proliferation of computers, particularly via local area networks (LANs). The LAN is a resource-sharing data communications network being used by many offices to interchange information such as electronic mail, word processing, and files among computers and other devices. This unique book shows the user how to establish the performance characteristics of a LAN before putting it to use in a particular type of situation. Simulation of Local Area Networks consists of eight chapters, each with its own extensive list of references. The first chapter provides a brief review of local area networks, and the second chapter gives the analytical models of popular LANs-token-passing bus and ring networks, CSMA/CD LANs, and star networks. Chapter 3 covers general principles of simulation, and Chapter 4 discusses fundamental concepts in probability and statistics relating to simulation modeling. Materials in Chapters 3 and 4 are specifically applied in developing simulation models on token-passing LANs, CSMA/CD LANs, and star LANs in Chapters 5 through 7. The computer code in Chapters 5, 6, and 7 is divided into segments, and a detailed explanation of each segment is provided. The last chapter reviews special-purpose languages such as GPSS, SIMSCRIPT, GASP, SIMULA, SLAM, and RESQ. Helpful criteria for language selection are included. The entire code is put together in the appendixes. This book has two major advantages over existing texts. First, it uses C, a well-developed general-purpose language that is familiar to most analysts. Second, the text specifically applies the simulation principles to local area networks. No other book available shows the systems analyst how to evaluate the performance of existing or proposed systems under different kinds of conditions.
Simulation of Power Electronics Circuits with MATLAB®/Simulink®: Design, Analyze, and Prototype Power Electronics (Maker Innovations Ser.)
by Farzin AsadiDesign and analyze electronic components and systems with the help of powerful software and effective skillsets. Balancing theory with practical exploration of the relevant software, you'll start solving power electronics problems like a pro. Using MATLAB®/Simulink®, you'll analyze the circuit in a laptop charger; interface with the power electronics converter controlling a washing machine's motor; turn on lamps with an electronic ballast; convert AC into DC power; and more!Power electronics are at the bedrock of all the wonderful devices simplifying our daily life. Designing them isn't just about understanding schematics. It also requires measuring twice and cutting once. In order to save time and money, a power electronics circuit must be simulated before construction. So you'll learn how to work with one of the most powerful simulation tools for this purpose. That way you'll know before you even go to make it whether the circuit works as expected. Learn to work with MATLAB®/Simulink® by directly applying and building the projects in this book. Or use it as a lab manual for power electronics and industrial electronics. Either way, using strong simulations and solid design theory, you'll be able to build power electronics that don't fail. What You'll LearnSimulate power electronics effectively before building themSelect suitable semiconductor components for your circuit based on simulation waveformsExtract dynamic models of converters and design suitable controllers for themWho This Book Is ForEngineers and students who want to simulate power electronics circuits in MATLAB®/Simulink®.
Simulation of Urban Mobility
by Michael Behrisch Daniel Krajzewicz Melanie WeberThis 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 on Hydration of Tricalcium Silicate in Cement Clinker
by Dejian Shen Xin WangThis 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.
Simulation Science: First International Workshop, Simscience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers (Communications In Computer And Information Science #889)
by Marcus Baum Gunther Brenner Jens Grabowski Thomas Hanschke Stefan Hartmann Anita SchöbelThis 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 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 GunkelmannThis 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 Techniques of Digital Twin in Real-Time Applications: Design Modeling and Implementation
by Abhishek Kumar Shikha Gupta Abhineet Anand Anita Sardana Srikanta Kumar MohapatraSIMULATION TECHNIQUES OF DIGITAL TWIN IN REAL-TIME APPLICATIONS The book gives a complete overview of implementing digital twin technology in real-time scenarios while emphasizing how this technology can be embedded with running technologies to solve all other issues. Divided into two parts with Part 1 focusing on simulated techniques in digital twin technology and Part 2 on real-time applications of digital twin technology, the book collects a significant number of important research articles from domain-specific experts. The book sheds light on the various techniques of digital twin technology that are implemented in various application areas. It emphasizes error findings and respective solutions before the actual event happens. Most of the features in the book are on the implementation of strategies in real-time applications. Various real-life experiences are taken to show the proper implementation of simulation technologies. The book shows how engineers of any technology can input their research ideas to convert to real scenarios by using replicas. Hence, the book has a collection of research articles from various engineers with expertise in different technologies from many regions of the world. It shows how to implement the embedded real-time data into technologies. Specifically, the chapters relate to the auto landing and cruising features in aerial vehicles, automated coal mining simulation strategy, the enhancement of workshop equipment, and implementation in power energy management for urban railways. This book also describes the coherent mechanism of digital twin technologies with deep neural networks and artificial intelligence. Audience Researchers, engineers, and students in computer science, software engineering and industrial engineering, will find this book to be very useful.
Simulation Technologies in Networking and Communications: Selecting the Best Tool for the Test
by Al-Sakib Khan Pathan Muhammad Mostafa Monowar Shafiullah KhanSimulation is a widely used mechanism for validating the theoretical model of networking or communication systems. Although the claims made based on simulations are considered to be reliable, how reliable they really are is best determined with real-world implementation trials. This book addresses various issues covering different mechanisms related to simulation technologies in networking and communications fields. Focusing on the practice of simulation testing instead of the theory, it reviews and evaluates popular simulation modeling tools and recommends the best tools for specific tests.
Simulation Tools and Techniques: 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #424)
by Dingde Jiang Houbing SongThis proceedings constitutes the refereed post-conference proceedings of the 13th International Conference on Simulation Tools and Techniques, SIMUTools 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 63 revised full papers were carefully selected from 143 submissions. The papers focus on new results in the field of system modeling and simulation, software simulation, communication networks’ modeling and analysis, AI system simulation and performance analysis, big data simulation analysis, addressing current and future trends in simulation techniques. They are grouped in thematic aspects on wireless communication, big data, modeling and simulation, deep learning, network simulation and life and medical sciences.
Simulation Tools and Techniques: 15th EAI International Conference, SIMUtools 2023, Seville, Spain, December 14-15, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #519)
by Agustín Riscos-Núñez José-Luis Guisado-Lizar María-José Morón-Fernández Gabriel WainerThis proceedings constitutes the refereed post-conference proceedings of the 15th International Conference on Simulation Tools and Techniques, SIMUTools 2023, held in Seville, Spain, in December 2023. The 23 revised full papers were carefully selected from 58 submissions. The papers focus on various areas such as Simulation Tools and Methods; Artificial Intelligence and Simulation; Transportation and Logistics; Medical Sciences; and Network 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 JiangThis 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 Tools and Techniques: 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #370)
by Houbing Song Dingde JiangThis two-volume set constitutes the refereed post-conference proceedings of the 12th International Conference on Simulation Tools and Techniques, SIMUTools 2020, held in Guiyang, China, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 125 revised full papers were carefully selected from 354 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.
Simulation Tools and Techniques: 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #369)
by Houbing Song Dingde JiangThis two-volume set constitutes the refereed post-conference proceedings of the 12th International Conference on Simulation Tools and Techniques, SIMUTools 2020, held in Guiyang, China, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 125 revised full papers were carefully selected from 354 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 PehuetDrawing 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 KrugDie 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.
Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences
by Rongpeng Li Aiichiro NakanoUnderstand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You'll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.
Simulations as Scaffolds in Science Education
by Maggie Renken Melanie Peffer Kathrin Otrel-Cass Isabelle Girault Augusto ChiocarrielloThis 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.