Computer science Books

Book SynopsisThis book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling.The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world."Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris NordTrade Review“This volume is a phenomenal achievement. It offers something to both the neophyte and the experienced SD researcher … . Weighing in at almost 600 pages, it is a wealth of information, and the bibliographies are extensive. The fact that the illustrations are full color is a tremendous help. If we are to make SD more widely acceptable, this is the sort of effort that is necessary. I hope it is widely read. I highly recommend this volume.” (John T. Harvey, System Dynamics Review, Vol. 37 (4), 2021)Table of ContentsChapter 1. Introduction to Feedback Economics.- Part I: Macroeconomics.- Chapter 2. Get Started with Macro Modeling.- Chapter 3. Equilibrium, Instability, Growth and Feedback in Economics.- Chapter 4. Accounting System Dynamics Modeling of Money Stock as Debts: Theory and Case Analysis of Japan.- Chapter 5. A System Dynamics Translation of the Phillips Machine.- Part II: Microeconomics.- Chapter 6. Economic Origins of the Sicilian Mafia: A Simulation Feedback Model.- Chapter 7. Comparison of System Dynamics Calibration and Econometric Estimation.- Chapter 8. Modeling the “Paradox of Redistribution”.- Part III: Resource Economics.- Chapter 9. Limits to Growth Concepts in Classical Economics.- Chapter 10. Development of a Biophysical Economics Module for the Global Integrated Assessment Model WORLD7.- Chapter 11. System Dynamics Modelling of Ecological-Economic Systems.- Chapter 12. Blessing or Burden? Another Look at the National Resource Curse.- Part IV: Policy Analysis.- Chapter 13. Policy Responses to Sovereign Debt Induced Banking Crises: A Model-Based Evaluation of Alternatives.- Chapter 14. Use of System Dynamics for Macro-Financial Scenario Assessment: Debt and Currency Crises in Russia.- Chapter 15. Economic Impact Assessment of Raw Material Efficiency.- Chapter 16. Insights on Profit Sharing and Jobs Creation in Bi-dimensional Goodwinian Models.- Part V: Variations and Reflections.- Chapter 17. Behavioral Expectation Formation and the Knife Edge: Another Look at Harrod.- Chapter 18. Burying Samuelson’s Multiplier-Accelerator and resurrecting Goodwin’s Growth Cycle in Minsky.- Chapter 19. Extending the Boundaries of Feedback Economics to Well-Being: An Interlinked Thinking Approach.- Chapter 20: A System Dynamics Scenario Model of the New Zealand Economy: Review and Reflections after 25 Years

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Book SynopsisSoftware Design: Creating Solutions for Ill-Structured Problems, Third Edition provides a balanced view of the many and varied software design practices used by practitioners. The book provides a general overview of software design within the context of software development and as a means of addressing ill-structured problems. The third edition has been expanded and reorganised to focus on the structure and process aspects of software design, including architectural issues, as well as design notations and models. It also describes a variety of different ways of creating design solutions such as plan-driven development, agile approaches, patterns, product lines, and other forms.FeaturesIncludes an overview and review of representation forms used for modelling design solutionsProvides a concise review of design practices and how these relate to ideas about software architectureUses an evidence-informed basis for discussing design concepts and Table of ContentsPreface. Part 1. Characteristics of Software Design. The Nature of the Design Process. The Process of Software Design. Design in the Software Development Process. Design Qualities. Studying Design. Part 2. Transfering Design Knowledge. Describing a Design Model. Transfering Design Knowledge. Some Design Representations. Organizing the Design Process. Designing with Patterns. Part 3 Plan-Driven Design. Stepwise Refinement. Structured Systems Analysis and Structured Design. Designing with Objects. Designing with Components and Services. A Formal Approach to Design. Part 4. Agile Design. Incremental Design. The Emergence of Agile Thinking. Extreme Programming. Scrum.

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Table of ContentsContributing Authors. Preface. Part I: Introduction to Logic-Based Artificial Intelligence. 1. Introduction to Logic-Based Artificial Intelligence; J. Minker. Part II: Commonsense Reasoning. 2. Concepts of Logical AI; J. McCarthy. Part III: Knowledge Representation. 3. Two Approaches to Efficient Open-World Reasoning; G. De Giacomo, H. Levesque. 4. Declarative Problem-Solving in DLV; T. Eder, et al. Part IV: Nonmonotonic Reasoning. 5. The Role of Default Logic in Knowledge Representation; J.P. Delgrande, Torsten Schaub. 6. Approximations, stable operators, well-founded fixpoints, applications in nonmonotonic reasoning; M. Denecker, et al. Part V: Logic for Causation, Actions. 7. Getting to the Airport: The Oldest Planning Problem in AI; V. Lifschitz, et al. Part VI: Planning, Problem Solving. 8. Encoding Domain Knowledge for Propositional Planning; H. Kautz, B. Selman. 9. Functional Strips; H. Geffner. Part VII: Logic, Planning, High Level Robotics. 10. Planning with Natural Actions in the Situation Calculus; F. Pirri, R. Reiter. 11. Reinventing Shakey; M. Shanahan. Part VIII: Logic for Agents, Actions. 12. Reasoning Agents in Dynamic Domains; C. Baral, M. Gelfond. 13. Dynamic Logic for Reasoning about Actions, Agents; J.-J.Ch. Meyer. Part IX: Inductive Reasoning. 14. Logic-Based Machine Learning; S. Muggleton, F. Marginean. Part X: Possibilistic Logic. 15. Decision, Nonmonotonic Reasoning, Possibilistic Logic; S. Benferhat, etal. Part Xl: Logic, Beliefs. 16. The Role(s) of Belief in AI; D. Perlis. 17. Modeling the Beliefs of Other Agents; R.H. Thomason. Part XII: Logic, Language. 18. The Situations We Talk about; L.K. Schuberi. Part XIII: Computational Logic. 19. Linear Time Datalog, Branching.Time Logic; G. Goitlob, et al. 20. On the Expressive Power of Planning Formalisms; B. Nebel. Part XIV: Knowledge Base System Implementations. 21. Extending the Smodels System with Cardinality, Weight Constraints; I. Niemelä, P. Simons. 22. Nonmonotonic Reasoning in LDL++; H. Wang, C. Zaniolo. Part XV: Applications of Theorem Proving, Logic Programming. 23. Towards a Mechanically Checked Theory of Computation; J. Strother Moore. 24. Logic-Based Techniques in Data Integration; A.Y. Levy. Index.

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Book SynopsisFor a long time, human beings have dreamed of a virtual world where it is possible to interact with synthetic entities as if they were real. It has been shown that the ability to touch virtual objects increases the sense of presence in virtual environments. This book provides an authoritative overview of state-of-theart haptic rendering algorithms and their applications. The authors examine various approaches and techniques for designing touch-enabled interfaces for a number of applications, including medical training, model design, and maintainability analysis for virtual prototyping, scientific visualization, and creative processes.Trade Review…a very thorough review of the field of haptic interfaces by the leading thinkers. … this book could become the standard reference for academic and industrial research and development.—Chris Ullrich, director of applied research, Immersion CorpThis book covers all essential technical aspects of haptic rendering. Written by leading authorities in the field, it spans a broad spectrum of topics … a stimulating resource for students, scholars, and professionals … a truly comprehensive and carefully composed collection … —Markus Gross, ETH ZurichThis is a must-read … an excellent desktop reference for anyone wishing to add touch-enabled interactions to simulated environments.—Hong Z. Tan, Purdue University and founding chair of Technical Committee on Hapticspowerful detailed survey of Haptic interfaces which are becoming popular in both electronics and computing worlds. Articles consider different techniques for designing touch-enabled interfaces for many applications from models to medical training, considering their growing importance.—The Bookwatch, November 2008Table of ContentsPreface -- Introduction -- I Fundamentals and Devices -- 1 Perceiving Object Properties through a Rigid Link -- 1.1 Surface Roughness: Direct vs. Indirect Exploration -- 1.2 Effects of a Rigid Link on Other Object Properties -- 1.3 Object Identification: Direct vs. Indirect Exploration -- 1.4 Intersensory Influences via Indirect Touch -- 1.5 Rendered Textures -- 1.6 Implications for Virtual Objects -- 2 Multi-Sensory Interactions -- 2.1 Introduction to Crossmodal Congruency -- 2.2 The CrossmodalCongruency Task -- 2.3 Using the Crossmodal Congruency Task -- 2.4 Using the Crossmodal Congruency Task -- 2.5 Conclusion -- 3 Design Issues in Haptic Devices -- 3.1 Towards Full-Body Virtual Touch -- 3.2 SensoryModes and Interface Devices -- 3.3 Locomotion Interfaces -- 3.4 Desktop Displays -- 3.5 Flexible Surface Displays -- 3.6 Summary -- 4 Rendering for Multifinger Haptic Devices -- 4.1 Literature Review -- 4.2 Multifinger Haptic Perception -- 4.3 Design of a Multifinger Haptic Device -- 4.4 Multifinger Rendering Method -- 4.5 FutureWork -- 5 Locomotion Interfaces and Rendering -- 5.1 Locomotion InterfaceDesigns -- 5.2 Locomotion Rendering -- 5.3 Discussion -- 6 Variable Friction Haptic Displays -- 6.1 Human Perception of Friction -- 6.2 Friction Reduction Theory -- 6.3 Variable Friction Devices -- 6.4 Friction Reduction Measurements -- 6.5 Friction Patterns toMimic Textures -- 6.6 Multidimensional Scaling -- 6.7 Summary -- 7 Stability of Haptic Displays -- 7.1 Definitions -- 7.2 Designing for Passivity -- 7.3 PassiveRendering of a VirtualWall -- 7.4 Extensions to the Passivity Framework -- 7.5 ControlMethods -- 7.6 Extending Z-Width -- 7.7 Summary -- II Rendering Techniques -- 8 Introduction to Haptic Rendering Algorithms -- 8.1 Definition of the Rendering Problem -- 8.2 Components of a Rendering Algorithm -- 8.3 Direct Rendering vs. Virtual Coupling -- 8.4 Modeling the Tool and the Environment -- 8.5 Multirate Algorithm -- 9 Overview on Collision and Proximity Queries -- 9.1 ProblemDefinitions -- 9.2 Convex Polytopes -- 9.3 General PolygonalModels -- 9.4 Penetration Depth Computation -- 9.5 Volumetric Representations -- 9.6 Spline and Algebraic Objects -- 9.7 DeformableModels -- 9.8 Dynamic Queries -- 9.9 Multiresolution Techniques -- 9.10 Large Environments -- 9.11 Proximity Query Packages -- 10 Collision Detection for Three-DOF Rendering -- 10.1 RelatedWork -- 10.2 A Fast Proximity Query Algorithm for 3-DOF Haptic Interaction -- 10.3 Implementation Issues -- 10.4 System Performance -- 10.5 Conclusion -- 10.6 Acknowledgments -- 11 Voxel-Based Collision Detection for Six-DOF Rendering -- 11.1 AlgorithmOverview -- 11.2 Voxel Data Structures -- 11.3 Geometrical Awareness -- 11.4 Temporal Coherence -- 11.5 Rendering with Virtual Coupling -- 11.6 Applications and Experiments -- 11.7 Discussion -- 12 Continuous Collision Detection -- 12.1 Why Continuous Collision Detection? -- 12.2 Arbitrary In-BetweenMotions -- 12.3 Interval Arithmetic -- 12.4 Elementary Continuous Collision Detection -- 12.5 Continuous Overlap Tests for Bounding Volumes -- 12.6 Conclusion -- 13 Contact Levels of Detail -- 13.1 Psychophysical Foundations -- 13.2 Approaches to Multiresolution Collision Detection -- 13.3 Data Structure of CLODs -- 13.4 Sensation-Preserving Simplification -- 13.5 Multiresolution Contact Queries -- 13.6 Experiments -- 13.7 Discussion -- 14 Physically Based Haptic Synthesis -- 14.1 Haptic Synthesis as a Means for Passivity -- 14.2 Friction -- 14.3 Damage -- 14.4 Elastic Deformation -- 14.5 Texture -- 14.6 Shocks -- 14.7 Conclusion -- 15 Three-Degree-of-Freedom Rendering -- 15.1 Human-Machine Coupling -- 15.2 Single-Point Rendering of 3D Rigid Objects -- 15.3 Surface Details: Smoothing, Friction, and Texture -- 15.4 Summary and Future -- 16 Six-Degree-of-Freedom Rendering of Rigid Environments -- 16.1 Overview -- 16.2 Six-Degree-of-Freedom God-Object Simulation -- 16.3 Constraint-Based Force Computation -- 16.4 Haptic Surface Properties -- 16.5 Results and Discussion -- 16.6 Summary -- 17 Rendering of Spline Models -- 17.1 The Spline Representation -- 17.2 Distance and Orthogonal Projection -- 17.3 Local Minima in Distance versus the Virtual Proxy -- 17.4 3-DOF Haptic Rendering of Spline Models -- 17.5 Direct ParametricTracing -- 17.6 Stability of Numerical Closest Point Methods -- 17.7 6-DOF Haptic Rendering of Spline Models -- 17.8 Conclusion -- 18 Rendering of Textured Objects -- 18.1 PerceptualMotivations -- 18.2 Three-DOF Haptic Texture Rendering -- 18.3 Texture ForceModel -- 18.4 Penetration Depth between TexturedModels -- 18.5 Experiments -- 18.6 Discussion -- 19 Modeling Deformation of Linear Elastostatic Objects -- 19.1 Motivations for Linear Elastostatic Models -- 19.2 Linear Elastostatic Boundary Model Preliminaries -- 19.3 Fast Global Deformation Using Capacitance Matrix Algorithms (CMAs) -- 19.4 Capacitance Matrices as Local Buffer Models -- 19.5 Surface Stiffness Models for Point-Like Contact -- 19.6 Results -- 19.7 Summary -- 20 Rendering of Frictional Contact with Deformable Environments -- 20.1 Contact and Friction Models -- 20.2 Non-Smooth Dynamics for Deformable Objects -- 20.3 Integration Schemes -- 20.4 Building Contact Space -- 20.5 Solving Strategy -- 20.6 Haptic Rendering -- 20.7 Examples -- 20.8 Conclusion -- 21 Measurement-Based Modeling for Haptic Rendering -- 21.1 Literature Review -- 21.2 Developing and Rendering a Measurement-Based Model -- 21.3 Example Application: Tapping on Rigid Surfaces -- 21.4 Example Application: Cutting Deformable Surfaces -- 21.5 Summary -- III Applications -- 22 Virtual Prototyping -- 22.1 Brief State of the Art -- 22.2 Overview -- 22.3 The Stringed Haptic Workbench -- 22.4 TheMixed-Prop -- 22.5 Putty Application—An Automotive Virtual Prototyping Application -- 22.6 Conclusion -- 23 Haptics for Scientific Visualization -- 23.1 Lessons from Haptic-Enabled Visualization Applications -- 23.2 Useful Techniques for Haptic Display in Scientific Visualization -- 23.3 Summary -- 24 Haptics in Medical Applications -- 24.1 Overview -- 24.2 Visuo-Haptic Segmentation of Radiological Data -- 24.3 Immersive Virtual-Reality-Based Hysteroscopy Training -- 24.4 Multimodal Augmented Reality for Open Surgery Training -- 25 The Role of Haptics in Physical Rehabilitation -- 25.1 Robotic Systems for Physical Rehabilitation -- 25.2 Specifics of Haptic Feedback for the Disabled -- 25.3 Safety Issues in Haptics for Rehabilitation -- 25.4 Looking at the Future -- 26 Modeling and Creative Processes -- 26.1 Case Studies of Existing Systems -- 26.2 Haptic-Enhanced Painting with 3D Deformable Brushes -- 26.3 Haptic Modeling and 3D Painting -- 26.4 Discussion -- 26.5 FutureWork -- Bibliography -- Index.

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Table of ContentsA. Einführung.- B. Analyse der Risiken bei integrierten Bürokommunikationssystemen.- C. Ziele als Maßstab des Sicherheitssystems.- D. Rahmenbedingungen für die Gestaltung eines Sicherheitssystems.- E. Maßnahmenkategorien und Komponenten eines Sicherheitssystems.- F. Organisatorische Gestaltung eines Sicherheitssystems.- G. Schlußbetrachtung.

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Book SynopsisFollow the quality engineering journey of the Creditcoin blockchain across four distinct implementation versions and a myriad of technologies. Through the eyes of a test engineer, this book discusses testing implementations with the Hyperledger Sawtooth and Substrate frameworks, testing switch from proof-of-work to proof-of-stake consensus algorithm, and testing an Ethereum Virtual Machine compatibility layer. You'll traverse several years of fast-paced multiple blockchain implementations and technological changes including an explanation of all major components involved, and the approach taken. You'll also look at examples of test automation approaches and tools, interesting bugs, and testing challenges. Most everything discussed in Testing the Creditcoin Blockchain is open source, ensuring easy access, and multiple references to source code and GitHub are included throughout. Who This Book Is ForSoftware testers and quality engineers with limited experience working on a blockchain implementation. What You Will LearnStudy the many of the components of a distributed blockchain network. See how components work and where testing can be plugged into a distributed blockchain network environment. Glimpse into the daily blockchain testing activities of a principal test engineer. Become familiar with a fast-paced technical software development project.

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Book SynopsisAs computers become faster, use more energy, and older models become obsolete more quickly, the question is often asked: What can the engineering and computer science community do to make computing greener? Roadmap to Greener Computing defines the challenges involved in making computing more environmentally friendly and includes methods and techniques for overcoming them.The book provides a concise, simplified, and easily accessible examination of how computer infrastructure affects the environment. Divided into six stand-alone chapters, the text addresses green computing topics such as power consumption, cooling, manufacturing issues, and computer disposal as well as hot topics such as cloud computing and noise pollution in IT. It also explores the Eco-Design concept and the impact of CAD on the environment as well as potential areas for improvement in the future.Features Details the impact of the computer infrastructure life cycle on thTable of ContentsIntroduction. Green Software Science. Computer Aided Sustainable Design.

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Book SynopsisInformation theory deals with mathematical laws that govern the flow, representation and transmission of information. The most significant achievement of the field is the invention of digital communication which forms the basis of our daily-life digital products such as smart phones, laptops and any IoT devices. Recently it has also found important roles in a spotlight field that has been revolutionized during the past decades: data science.This book aims at demonstrating modern roles of information theory in a widening array of data science applications. The first and second parts of the book covers the core concepts of information theory: basic concepts on several key notions; and celebrated source and channel coding theorems which concern the fundamental limits of communication. The last part focuses on applications that arise in data science, including social networks, ranking, and machine learning.The book is written as a text for senior undergraduate and graduate students working on Information Theory and Communications, and it should also prove to be a valuable reference for professionals and engineers from these fields.Table of Contents 1 Source Coding 1.1 Overview of the book 1.2 Entropy and Python exercise 1.3 Mutual information, Kullback-Leibler (KL) divergence and Python exercise Problem Set 1 1.4 Source coding theorem for i.i.d. sources (1/3) 1.5 Source coding theorem for i.i.d. sources (2/3) 1.6 Source coding theorem for i.i.d. sources (3/3)Problem Set 2 1.7 Source code design 1.8 Source coding theorem for general sources 1.9 Huffman code and Python implementation Problem Set 3 2 Channel Coding 2.1 Statement of channel coding theorem 2.2 Achievability proof for the binary erasure channel 2.3 Achievability proof for the binary symmetric channelProblem Set 4 2.4 Achievability proof for discrete memoryless channels 2.5 Converse proof for discrete memoryless channels 2.6 Source-channel separation theorem and feedback Problem Set 5 2.7 Polar code: Polarization 2.8 Polar code: Implementation of polarization 2.9 Polar code: Proof of polarization and Python simulation Problem Set 6 3 Data Science Applications 3.1 Social networks: Fundamental limits 3.2 Social networks: Achievability proof 3.3 Social networks: Converse proof 3.4 Social networks: Algorithm and Python implementationProblem Set 7 3.5 DNA sequencing: Fundamental limits 3.6 DNA sequencing: Achievability proof 3.7 DNA sequencing: Converse proof 3.8 DNA sequencing: Algorithm and Python implementationProblem Set 8 3.9 Top-K ranking: Fundamental limits 3.10 Top-K ranking: Algorithm 3.11 Top-K ranking: Python implementation Problem Set 9 3.12 Supervised learning: Connection with information theory 3.13 Supervised learning: Logistic regression and cross entropy 3.14 Supervised learning: TensorFlow implementation Problem Set 10 3.15 Unsupervised learning: Generative modeling 3.16 Generative Adversarial Networks (GANs) and KL divergence 3.17 GANs: TensorFlow implementation Problem Set 11 3.18 Fair machine learning and mutual information (1/2) 3.19 Fair machine learning and mutual information (2/2) 3.20 Fair machine learning: TensorFlow implementation Problem Set 12 Appendices A – Python Basics B – TensorFlow and Keras Basics C – Note on Research

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Book SynopsisAda’s Legacy illustrates the depth and diversity of writers, thinkers, and makers who have been inspired by Ada Lovelace, the English mathematician and writer. The volume, which commemorates the bicentennial of Ada’s birth in December 1815, celebrates Lovelace’s many achievements as well as the impact of her life and work, which reverberated widely since the late nineteenth century. In the 21st century we have seen a resurgence in Lovelace scholarship, thanks to the growth of interdisciplinary thinking and the expanding influence of women in science, technology, engineering and mathematics. Ada’s Legacy is a unique contribution to this scholarship, thanks to its combination of papers on Ada’s collaboration with Charles Babbage, Ada’s position in the Victorian and Steampunk literary genres, Ada’s representation in and inspiration of contemporary art and comics, and Ada’s continued relevance in discussions around gender and technology in the digital age.With the 200th anniversary of Ada Lovelace’s birth on December 10, 2015, we believe that the timing is perfect to publish this collection of papers. Because of its broad focus on subjects that reach far beyond the life and work of Ada herself, Ada’s Legacy will appeal to readers who are curious about Ada’s enduring importance in computing and the wider world.Table of Contents Introduction Part 1: Ada's Legacy in Computing Charles Babbage, Ada Lovelace, and the Bernoulli Numbers Sketch of the Analytical Engine invented by Charles Babbage, Esq. Ada: Past, Present, Future The Ada Programming Language The Rise, Fall, and Persistence of Ada Part 2: Ada's Legacy in Literature "I shall in due time be a poet": Ada Lovelace's Poetical Science in its Literary Context "A Different Sort of Bird": Ada Lovelace in History and Steampunk Ada Bright and Dark: Steampunk Representations of the Enchantress of Numbers Part 3: Ada's Legacy in the Digital Age Oracle: The Engine Weaves "Genderless" Online Discourse in the 1970s: Muted Group Theory in Early Social Computing Rebooting the Ada Lovelace Mythos

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Book Synopsis1 Ermittlung von CIM-Potentialen.- 1.1 CIM in mittelständischen und kleinen Firmen.- 1.2 Klassifizierung von Fertigungsunternehmen.- 1.3 Vorhandene Insellösungen.- 1.4 CIM-Schwerpunkte.- 1.5 Kunden- und Literantenbeziehungen.- 2 CIM-Basiskenntnisse, Hardware/Software.- 2.1 Allgemeines.- 2.2 Software-Systeme.- 2.3 Hardware-Systeme (Rechnerwelten, Leistungsklassen).- 2.4 Zentrale und dezentrale Systeme.- 2.5 Netze.- 2.6 CIM-Baukasten, Hardware/Software.- 3 CIM-Basiskenntnisse, Anwendungen.- 3.1 PPS.- 3.2 CAD.- 3.3 CAP.- 3.4 CAM.- 3.5 CAQ.- 3.6 CIM-Baukasten, Anwendungen.- 4 Durchführung von CIM-Projekten.- 4.1 Organisation von CIM-Projekten.- 4.2 Vorgehensmethodik.- 4.3 Entscheidungsprozeß.- 5 Wirtschaftlichkeitsabschätzungen.- 5.1 Ermittlung quantitativer CIM-Potentiale.- 5.2 Ermittlung qualitativer CIM-Potentiale.- A 1 CA- und Cl-Begriffe im Überblick.- A 2 CIM-relevante Normen.- A 3 CIM-Standardisierung.- A 4 CIM-Strukturkonzepte im Überblick.- Sachwortverzeichnis.Table of Contents1 Ermittlung von CIM-Potentialen.- 1.1 CIM in mittelständischen und kleinen Firmen.- 1.2 Klassifizierung von Fertigungsunternehmen.- 1.3 Vorhandene Insellösungen.- 1.4 CIM-Schwerpunkte.- 1.4.1 Anlagenbauer.- 1.4.2 Auftragsfertiger.- 1.4.3 Serien- und Massenfertiger.- 1.4.4 Zulieferer.- 1.5 Kunden- und Literantenbeziehungen.- 2 CIM-Basiskenntnisse, Hardware/Software.- 2.1 Allgemeines.- 2.2 Software-Systeme.- 2.2.1 Aufbau, Bestandteile.- 2.2.2 Software-Familien, Beispiele.- 2.3 Hardware-Systeme (Rechnerwelten, Leistungsklassen).- 2.3.1 Aufbau, Bestandteile.- 2.3.2 Hardware-Familien, Beispiele.- 2.4 Zentrale und dezentrale Systeme.- 2.5 Netze.- 2.6 CIM-Baukasten, Hardware/Software.- 3 CIM-Basiskenntnisse, Anwendungen.- 3.1 PPS.- 3.1.1 Hauptfunktionen.- 3.1.2 Arbeiten mit PPS.- 3.1.3 PPS-Kopplungen.- 3.2 CAD.- 3.2.1 Hauptfunktionen.- 3.2.2 Arbeiten mit CAD.- 3.2.3 CAD-Kopplungen.- 3.3 CAP.- 3.3.1 Hauptfunktionen.- 3.3.2 Arbeiten mit CAP.- 3.3.3 CAP-Kopplungen.- 3.4 CAM.- 3.4.1 Hauptfunktionen.- 3.4.2 Arbeiten mit CAM.- 3.4.3 CAM-Kopplungen.- 3.5 CAQ.- 3.5.1 Hauptfunktionen.- 3.5.2 Arbeiten mit CAQ.- 3.6 CIM-Baukasten, Anwendungen.- 4 Durchführung von CIM-Projekten.- 4.1 Organisation von CIM-Projekten.- 4.1.1 Projektleiter.- 4.1.2 Projektplanung.- 4.1.3 Projektsteuerung.- 4.2 Vorgehensmethodik.- 4.2.1 Hilfsmittel.- 4.2.2 Arbeitsweise.- 4.3 Entscheidungsprozeß.- 4.3.1 Betriebsanalyse.- 4.3.2 Informationsflußanalyse.- 4.3.3 Analyse vorhandener Insellösungen.- 5 Wirtschaftlichkeitsabschätzungen.- 5.1 Ermittlung quantitativer CIM-Potentiale.- 5.2 Ermittlung qualitativer CIM-Potentiale.- 5.2.1 Nutzen von PPS.- 5.2.2 Nutzen von CAD.- 5.2.3 Nutzen von CAP.- 5.2.4 Nutzen von CAM.- A 1 CA- und Cl-Begriffe im Überblick.- A 2 CIM-relevante Normen.- A 3 CIM-Standardisierung.- A 4 CIM-Strukturkonzepte im Überblick.- Sachwortverzeichnis.

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Book SynopsisDas Buch bietet eine umfassende und praxisorientierte Einführung in die wesentlichen Grundlagen und Konzepte der Informatik. Es umfasst den Stoff, der typischerweise in den ersten Semestern eines Informatikstudiums vermittelt wird, vertieft Zusammenhänge, die darüber hinausgehen und macht sie verständlich. Die Themenauswahl orientiert sich an der langfristigen Relevanz für die praktische Anwendung. Praxisnah und aktuell werden die Inhalte für Studierende der Informatik und verwandter Studiengänge sowie für im Beruf stehende Praktiker vermittelt.Praxisnah und aktuell werden die Inhalte für Studierende der Informatik und verwandter Studiengänge sowie für im Beruf stehende Praktiker vermittelt.Table of ContentsZahlensysteme und binäre Arithmetik - Nachricht und Information - Codierung und Datenkompression - Verschlüsselung - Schaltalgebra, Schaltnetze und Elemente der Computerhardware - Rechnerarchitekturen - Rechnernetze - Betriebssysteme - prozedurale und objektorientierte Programmierung (C und Java) - Automatentheorie und formale Sprachen - Berechenbarkeit und Komplexität - Suchen und Sortieren - Bäume und Graphen - Software-Engineering - Datenbanken - Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) - Deep Learning mit neuronalen Netzen

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Trade Review"In this artfully crafted, elegantly written monograph, Dobson deploys his acumen as a literary theorist to show how everything touching computational methods from computational logic to algorithmically derived tools is subject in one way or another to the modes of humanistic critique that computational scientists claim to have rendered obsolete. Whereas computational digital humanities claims to be a mode inquiry that would utterly displace humanistic disciplines, the critical digital humanities Dobson explains and practices shows how humanistic critical theory and computational science might be considered complementary rather than antagonistic modes of inquiry."--Donald E. Pease, author of The New American Exceptionalism"Critical Digital Humanities brings hermeneutic philosophy, literary theory (high and low, surface and deep) to bear on research in the field of digital humanities, from machine learning to sentiment analysis. This book goes beyond mere critique, effectively and thoroughly interrogating the extent to which algorithmic tools extend humanists' interpretive goals. It should be required reading not only for those interested in limits of computational methodologies but also for digital humanities scholars and students who are analyzing digital texts and building digital tools for future research."—Laura Mandell, author of Breaking the Book: Print Humanities in the Digital Age"Dobson provides a thought-provoking overview of critical views on digital humanities. He points repeatedly and with vigor at crucial aspects to consider when doing digital humanities in the tradition of literary criticism." --Journal of Literary Theory"Critical Digital Humanities is an important corrective to approaches that frame computational data as inviolable, unbiased, and essentially trustworthy. Dobson masterfully combines cultural theory with complex computational approaches and points to areas for further development by digital humanists looking to resist the slide toward scientism, remembering that they are, after all, humanists." --Journal of Folklore Research

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Book SynopsisThe contributors to this book are both cautionary and hopeful as they offer visions of how information design can be practiced diligently and ethically, for the benefit of information consumers as well as producers.Information design is the newest of the design disciplines. As a sign of our times, when the crafting of messages and meaning is so central to our lives, information design is not only important—it is essential. Contemporary information designers seek to edify more than to persuade, to exchange more than to foist upon. With ever more powerful technologies of communication, we have learned that the issuer of designed information is as likely as the intended recipient to be changed by it, for better or worse.The contributors to this book are both cautionary and hopeful as they offer visions of how information design can be practiced diligently and ethically, for the benefit of information consumers as well as producers. They present various methods that

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Book SynopsisFor today's programmers, it is impossible to foresee every input, every usage scenario, and every combination of applications that can cause errors when run simultaneously. Given all of these unknowns, writing absolutely bug-free code is unachievable. But it is possible, with the right knowledge, to produce nearly bug-free code and The Debugger's Handbook provides just the right guidance to do it.Focused on the best practices for writing code as well as on the methods to perform more effective debugging, DiMarzio promotes a natural debugging approach to writing code. He begins by examining and concretely defining just what a bug is, what circumstances are more prone to producing bugs, and how to avoid them from the start. Rather than focusing on techniques for a specific programming language, this book offers guidance on the basic philosophies and practices that can minimize the appearance of bugs in any language. Extensive use of examples-with sample code given in VB, VB .NET, C++, and Java-reinforce a practical understanding of the concepts and offer ample opportunity to put them to use.Working systematically through the programming steps encountered in practice, The Debugger's Handbook is the most versatile and practical guide available for minimizing errors, decreasing development time and costs, and making you a better programmer.Trade Review". . . found the book very readable and easy to understand. The detailed explanations provide great insight for the reader. I really liked the author’s ability to make the steps very easy to follow while providing meaning and understanding. Overall, I definitely recommend this book." – Scott Brookhart, in StickyMinds.com, 2007Table of ContentsBugs: Fact or Fiction?. Writing Bug-Free Code Part I: The Design Process. Bug-Free Code Part II: The Coding Process. Throwing Custom Exceptions. Design Time Debugging. Debugging and Visual Studio 2005. Testing. Commenting Your Code with XML. Real-World Scenarios: Opening Files. Real-World Scenarios: Reading Files. Real-World Scenarios: Saving Program Settings. Real-World Scenarios: Working with Objects. Real-World Scenarios: Editing the Registry. Real-World Scenarios: Windows Termination Functionality. Real-World Scenarios: Opening a Database. Real-World Scenarios: Reading a Database. Real-World Scenarios: Searching a Database. Index.

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