Automatic control engineering Books
Taylor & Francis Inc Deterministic Learning Theory for Identification
Book SynopsisDeterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic EnvironmentsThe authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to aTable of ContentsIntroduction. RBF Networks and the PE Condition. Locally Accurate Identification of Nonlinear Systems. Learning from Closed-Loop Neural Control. Rapid Recognition of Dynamical Patterns. Deterministic Learning using Output Measurements. Applications of Deterministic Learning. Conclusions.
£195.00
CRC Press Generative Adversarial Networks and Deep Learning
Book SynopsisThis book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.Features: Presents a comprehensive guide on how to use GAN for images and videos. Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN Highlights the inclusion of gaming effects using deep learning methods Examines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutions The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
£52.24
Taylor & Francis Ltd DeepFakes
Book SynopsisDeepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.Table of Contents1. Introduction to DeepFake technologies 2. DeepFakes: A Systematic Review and Bibliometric Analysis 3. Deep Learning Techniques for Creation of DeepFakes 4. Analyzing DeepFakes Videos by face warping artifacts 5. Development of image translating model to counter Adversarial attacks 6. Detection of DeepFakes using local features and Convolutional Neural Network 7. DeepFakes: Positive Cases 8. Threats and challenges by DeepFake Technology 9. DeepFakes, media, and societal impacts 10. Fake News Detection using Machine Learning 11. Future of DeepFakes & Ectypes
£99.00
Taylor & Francis Ltd Artificial Intelligence for Internet of Things
Book SynopsisThe text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of Table of ContentsChapter 1 Cyber Security Control Systems for Operational TechnologyS.SRIRAM Chapter 2 Cyber Security Ecosystem and Essentials for Modern Technology World Dr.S.S. Aravinth, K.Venkata Rama Bhagavath, Kothalanka kavyasri, Dr.J. Senthilkumar Chapter 3 Smart Manufacturing in Industry 4.0 using Computional IntelligenceDr G REVATHY, Dr K SELVAKUMAR Chapter 4 Heterogeneous Data Management in IoT based Healthcare Systems Geetanjali Kale, Kalyani Waghmare Chapter 5 Comparative study on SMS spams message detection with different machine learning methods for safety communicationN.Krishnamoorthy, Suresh Muthusamy, Seyedali Mirjalili, M.Vignesh, R.Vishnuhari, S.K.Sanjeev Raja Chapter 6 An Optimal More Than One Stage (MTOS) Authentication Model to ensure the Security in Cloud ComputingN.Krishnamoorthy, Suresh Muthusamy, K.Nirmala Devi, Seyedali Mirjalili, Essam H.Houssein, Hitesh Panchal Chapter 7 Robotic Harvesters for Strawberry and AppleAman Mahore, Abhishek Patel, Mohit Kumar, Rohit Nalawade, Kanupriya Choudhary Chapter 8 Scalability and Security Requirements for the Internet of Thing ArchitectureDr.P. Deivendran, Dr. S.Ilaiyaraja, Dr. S. Selvakanmani, Dr. K. S. Raghuram, Chapter 9 Applying Fuzzy Logics to Detect Reliable Sensors on IOTDr.M.S.Nidhya, Dr.M.Prasad, Dr.MD.Javeed Ahamed, Dr.Shaik.Bajidvali Chapter 10 Data analytics techniques and tools in smart city applicationsP.Velmurugan, M.Varsha, A.Kannagi, K. Velusamy Chapter 11 Machine learning algorithms for IoT applications Dr. R. Kavitha, Adlin Jebakumari S, Dr. K. Saravanan, K Velusamy Chapter 12 Application of IoT in smart citiesShubhangi P Chapter 13 Novel Vocal Bio maker based Biosignal Acquisition, Analysis and Diagnosis systemArchana Ratnaparkhi, Gauri Ghule, Pallavi Deshpande, Rohini Chavan, Shraddha Habbu Chapter 14 Leveraging Health Care Industry through Medical IoT- its Implementation and case studies within IndiaMr.Mohamed ABuBasim, Dr.SKaliappan, Dr.V.Shanmugasundaram , Dr.Muthukumar.S Chapter 15 Energy Efficuent Archtectures for IoT ApplicationsDr. Smrity Dwivedi, Chapter 16 Exploring Robotics Technology for Healthcare ApplicationsSwagat Kumar Samantaray Chapter 17 Design Principles, Modernization and techniques in Artificial Intelligence for IoT: Advance Technologies, Development and ChallengesP Radhika Ravi, Dr. S.Sarumathi, Ravi Ramaswamy
£125.00
Taylor & Francis Ltd Requirements Engineering for Software and Systems
Book SynopsisSolid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits. However, these tools are not usually easy to use without significant training. Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems. It brings into play a variety of formal methods, social models, and modern requirements writing techniques to be useful to practicing engineers. The book is intended for professional software engineers, systems engineers, and senior and graduate students of software or systems engineering.Since the first edition, there have been made many changes and improvements to this textbook. Feedback from instructors, students, and corporate users was used to correct, expand, and improve the materials. The fourth edition features two newly added chapters: On Non-Functional Requirements and Requirements Engineering: Road Map to the Future. The latter provides a discussion on the relationship between requirements engineering and such emerging and disruptive technologies as Internet of Things, Cloud Computing, Blockchain, Artificial Intelligence, and Affective Computing.All chapters of the book were significantly expanded with new materials that keep the book relevant to current industrial practices. Readers will find expanded discussions on new elicitation techniques, agile approaches (e.g., Kanpan, SAFe, and DEVOps), requirements tools, requirements representation, risk management approaches, and functional size measurement methods. The fourth edition also has significant additions of vignettes, exercises, and references. Another new feature is scannable QR codes linked to sites containing updates, tools, videos, and discussion forums to keep readers current with the dynamic field of requirements engineering. Table of ContentsPreface. Acknowledgments. Authors. 1 Introduction to Requirements Engineering. 2 Preparing for Requirements Elicitation. 3 Requirements Elicitation. 4 Writing the Requirements Document. 5 On Nonfunctional Requirements. 6 Requirements Validations and Verifications. 7 Formal Methods. 8 Requirements Specification and Agile Methodologies. 9 Tool Support for Requirements Engineering. 10 Requirements Management. 11 Value Engineering of Requirements. 12 Requirements Engineering: A Road Map to the Future. Appendix A: Software Requirements Specification for a Smart Home. Appendix B: Software Requirements for a Wastewater Pumping Station Wet-Well Control System. Appendix C: Unified Modeling Language (UML). Appendix D: User Stories. Appendix E: Use Cases. Appendix F: IBM DOORS Requirements Management Tool. Glossary. Index.
£999.99
CRC Press Blockchain Technology and Applications
Book SynopsisBlockchain is an emerging platform for developing decentralized applications and data storage, over and beyond its role as a platform for cryptocurrencies. This reference text provides a comprehensive discussion on blockchain technology from research and application perspective. Discusses different approaches for building distributed applications (DAPPS). Provides detailed listing and discussion of blockchain technology applications in solving real life problems. Covers proof of work (PoW) based blockchain consensus, and proof of stake (PoS) based blockchain consensus. Discusses blockchain algorithms including practical byzantine fault tolerance (PBFT) and simplified byzantine fault tolerance (SBFT). It comprehensively covers important topics including blockchain consensus algorithms, Ethereum, Hyperledger, blockchain scalability, smart contracts with solidity, ERC20 standards, building DApp with Golang, building DApp using Hyperledger, building PoCs with Hyperledger fabric, blockchain as a server, blockchain security and privacy. The text will serve as a useful text for senior undergraduate and graduate students in interdisciplinary areas including electronics and communications engineering, electrical engineering, computer science, and information technology.
£45.99
Taylor & Francis Ltd Control Basics for Mechatronics
Book SynopsisMechatronics is a mongrel, a crossbreed of classic mechanical engineering, the relatively young pup of computer science, the energetic electrical engineering, the pedigree mathematics and the bloodhound of Control Theory.All too many courses in control theory consist of a diet of Everything you could ever need to know about the Laplace Transform' rather than answering What happens when your servomotor saturates?' Topics in this book have been selected to answer the questions that the mechatronics student is most likely to raise.That does not mean that the mathematical aspects have been left out, far from it. The diet here includes matrices, transforms, eigenvectors, differential equations and even the dreaded z transform. But every effort has been made to relate them to practical experience, to make them digestible. They are there for what they can do, not to support pages of mathematical rigour that defines their origins.The theme running throughout the Table of Contents1. Why Do You Need Control Theory? 2. Modelling Time .3. A Simulation Environment 4. Step Length Considerations. 5. Modelling a Second-Order System .6. The Complication of Motor Drive Limits. 7. Practical Controller Design 8. Adding Dynamics to the Controller 9. Sensors and Actuators. 10. Analogue Simulation. 11. Matrix State Equations. 12. Putting It into Practice. 13. Observers 14. More about the Mathematics 15. Transfer Functions 16. Solving the State Equations 17. Discrete Time and the z Operator. 18. Root locus. 19. More about the Phase Plane. 20. Optimisation and an Experiment. 21. Problem Systems. 22. Final Comments.
£76.49
Taylor & Francis Ltd Machine Learning Toolbox for Social Scientists
Book SynopsisMachine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical tools that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in econometrics textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targTable of Contents1. How We Define Machine Learning 2. Preliminaries Part 1. Formal Look at Prediction 3. Bias-Variance Tradeoff 4. Overfitting Part 2. Nonparametric Estimations 5. Parametric Estimations 6. Nonparametric Estimations - Basics 7. Smoothing 8. Nonparametric Classifier - kNN Part 3. Self-learning 9. Hyperparameter Tuning 10. Tuning in Classification 11. Classification Example Part 4. Tree-based Models 12. CART 13. Ensemble Learning 14. Ensemble Applications Part 5. SVM & Neural Networks 15. Support Vector Machines 16. Artificial Neural Networks Part 6. Penalized Regressions 17. Ridge 18. Lasso 19. Adaptive Lasso 20. Sparsity Part 7. Time Series Forecasting 21. ARIMA models 22. Grid Search for Arima 23. Time Series Embedding 24. Random Forest with Times Series 25. Recurrent Neural Networks Part 8. Dimension Reduction Methods 26. Eigenvectors and eigenvalues 27. Singular Value Decomposition 28. Rank r approximations 29. Moore-Penrose Inverse 30. Principle Component Analysis 31. Factor Analysis Part 9. Network Analysis 32. Fundamentals 33. Regularized Covariance Matrix Part 10. R Labs 34. R Lab 1 Basics 35. R Lab 2 Basics II 36. Simulations in R 37. Algorithmic Optimization 38. Imbalanced Data
£69.29
CRC Press Graph Theory and Its Applications
Book SynopsisGraph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs. The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.Features of the Third Edition Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions) Provides better coverage of algorithms and algebraicTable of ContentsIntroduction to Graph Models Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes. Structure and Representation Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations. Trees Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees. Spanning Trees Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm. Connectivity Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions. Optimal Graph Traversals Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems. Planarity and Kuratowski’s Theorem Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness. Graph Colorings Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization. Special Digraph Models Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph. Network Flows and Applications Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers. Graph Colorings and Symmetry Automorphisms of Simple Graphs. Equivalence Classes of Colorings. Appendix
£43.99
Taylor & Francis Ltd Power System Protection and Relaying
Book SynopsisThis textbook provides an excellent focus on the advanced topics of the power system protection philosophy and gives exciting analysis methods and a cover of the important applications in the power systems relaying. Each chapter opens with a historical profile or career talk, followed by an introduction that states the chapter objectives and links the chapter to the previous ones, and then the introduction for each chapter. All principles are presented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding. In each chapter, the authors present some of the solved examples and applications using a computer program.Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter using a computer program.In recognition of requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating comTable of Contents1. Introduction to Power Protection Systems. 2. Protective Relays. 3. Protection Systems with SCADA Technology 4. Faults Analysis. 5. Fuses and Circuit Breakers. 6. Overcurrent Relay. 7. Transmission Line Protection. 8. Transformer Protection. 9. Generator, Motor, and Busbar Protection. 10. High-Impedance Faults. 11. Grounding of Power System.
£84.99
Taylor & Francis Ltd Applied Machine Learning Using mlr3 in R
Book Synopsismlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components.Features: In-depth coverage of the mlr3 ecosystem for users and developers Explanation and illustration of basic and advanced machine learning concepts Ready to use code samples that can be adapted by the useTable of Contents1. Introduction and Overview. 2. Data and Basic Modeling. 3. Evaluation and Benchmarking. 4. Hyperparameter Optimization. 5. Advanced Tuning Methods and Black Box Optimization. 6. Feature Selection. 7. Sequential Pipelines. 8. Non-sequential Pipelines and Tuning. 9. Preprocessing. 10. Advanced Technical Aspects of mlr3 .11. Model Interpretation and Explanation. 12. Model Interpretation. 13. Beyond Regression and Classification. 14. Algorithmic Fairness.
£61.99
Taylor & Francis Ltd The Applied Genomic Epidemiology Handbook
Book SynopsisThe Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations. During the SARS-CoV-2 pandemic, viral whole genome sequences were generated, analyzed, and shared at an unprecedented scale. This wealth of data posed both tremendous opportunities and challenges; the data could be used to support varied parts of the public health response but could be hard for much of the public health workforce to analyze and interpret, given a historical lack of experience working with pathogen genomic data.This book addresses that gap. Structured into eight wide-ranging chapters, this book describes how the overlapping timescales of pathogen evolution and infection transmission enable exploration of epidemiologic dynamics from pathogen sequence data. Different approaches to s
£44.99
CRC Press Advancing Responsible AI in Public Sector Application
Book SynopsisResponsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation, and economic growth. The book covers topics spanning the technological socio-economic spectrum including potential of AI/ML technologies to address social and political inequities, privacy enhancing technologies for datasets, friction less data sharing and data stewardship models, regional/geographical inequities in extraction and so forth.Features: Focuses on technical aspects of responsible AI in the public sector. Covers a wide range of topics spanning the technological socio-economic spectrum. Presents viewpoints from the public sector agencies as well as from practitioners. Discusses privacy enhancing technologies for collecting, processing and storing datasets, and friction. Reviews frameworks to identify and address biased AI outcomes in the design, development and use of AI. This book is aimed at professionals, researchers and students in artificial intelligence, computer science and engineering, policy makers, social scientists, economists, and lawyers.
£999.99
CRC Press HighPerformance Automation Methods for Computational Intelligent Systems
Book SynopsisComputational methods are necessary for the proper execution of the applications for the benefit of society and technological development. Technological development makes life easier by constructing powerful systems with the help of computational methods. The nature of computational methods changes from time to time and retains only efficient applicable theories. Researchers take the idea of existing computational systems and advanced them as per the possible future needs. Efficient computational methods also solve complex problems and help to make the system more intelligent. Automation process requires decision-making computational systems. A more intelligent system contains an efficient computational method, which is described by powerful algorithm development. The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation is the need of todayâs world, and the computational systems need to be upgraded to that level to perform the required tasks. The most efficient computational algorithm acts like a human being and offers a full sense of intelligent automation.This book: Presents the latest research trends for the upcoming computational intelligent systems in a comprehensive manner. Focuses on the integration of multi-purpose and multi-dimension natural language into intelligent systems. Elaborates on nature-inspired and intelligent behaviour-based computational methods to deal with the observation of nature. Illustrates applications of quantum cellular energy-efficient computing methods for automation and applications of genetic algorithms in multi-disciplinary fields. Discusses aspects of intelligent automation like technology-based, architecture-based, logic implementation-based, and the different algorithms-based concepts. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
£999.99
CRC Press Artificial Intelligence Machine Learning and IoT for Smart Business Management
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£114.00
CRC Press NextGeneration DataDriven Business 4.0 using the Internet of Things Blockchain and Interconnected Devices
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£140.00
CRC Press Digital Transformation and XAI in Healthcare
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£114.00
CRC Press Understanding the Artificial Intelligence
Book SynopsisAfter many years during which it languished in relative obscurity - in remote classrooms of computer science departments and in small prototype projects for tech companies - AI is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats.This concise and sober book presents a brief history of AI, explaining in clear language the central engineering innovations that have produced the current revolution, and distinguishing between imagined dangers and the very real problems that AI is creating. Spread across seven short and accessible chapters, the book explains the developments behind deep learning and the applications of deep neural networks (DNNs), addresses both the imagined and actual risks posed by the AI revolution, before outlining rational public policy on AI, covering topics like tech monopolies, disinformation, bias, hate speech, intellectual property rights, and inequality. Suitable for the general reader, Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia is the ideal book for anyone seeking a clear and informed introduction to AI.
£999.99
Cambridge University Press The Mechanics of Robot Grasping
Book SynopsisIn this comprehensive textbook about robot grasping, readers will discover an integrated look at the major concepts and technical results in robot grasp mechanics. A large body of prior research, including key theories, graphical techniques, and insights on robot hand designs, is organized into a systematic review, using common notation and a common analytical framework. With introductory and advanced chapters that support senior undergraduate and graduate level robotics courses, this book provides a full introduction to robot grasping principles that are needed to model and analyze multi-finger robot grasps, and serves as a valuable reference for robotics students, researchers, and practicing robot engineers. Each chapter contains many worked-out examples, exercises with full solutions, and figures that highlight new concepts and help the reader master the use of the theories and equations presented.Trade Review'The Mechanics of Robot Grasping, by two of the world's leading experts, fills an important gap in the literature by providing the first comprehensive survey of the mathematical tools needed to model the physics of grasping. The book uses configuration space to consistently characterize equilibrium, immobilizing, and caging grasps, and clearly conveys important points such as the distinction between first-order and second-order form closure. The book also contains new material on the effects of gravity, compliance, and hand mechanism design. Grasping remains a Grand Challenge for robots and this book provides the solid foundation for progress for students and researchers in the years ahead.' Ken Goldberg, University of California, Berkeley'This is a book on robotic hand grasping from new view points. Different from other books on grasping, this book concretely explains the equilibrium grasp, the immobilizing grasp and the caging grasp. In addition, I have never seen a book discussing the equilibrium stance of legged robots in relation to the equilibrium grasp. Classical topics on grasping mechanics are also covered in this book.' Kensuke Harada, Osaka University, JapanTable of Contents1. Introduction and overview; Part I. Basic Geometry of the Grasping Process: 2. Rigid-body configuration space; 3. Configuration space tangent and cotangent vectors; 4. Rigid body equilibrium grasps; 5. A catalog of equilibrium grasps; Part II. Frictionless Rigid Body Grasps and Stances: 6. Introduction to secure grasps; 7. First-order immobilizing grasps; 8. Second-order immobilizing grasps; 9. Minimal immobilizing grasps; 10. Multi-finger caging grasps; 11. Frictionless hand supported stances under gravity; Part III. Frictional Rigid-Body Grasps, Fixtures, and Stances: 12. Wrench resistant grasps; 13. Grasp quality functions; 14. Hand supported stances under gravity – Part I; 15. Hand supported stances under gravity – Part II; Part IV. Grasping Mechanisms: 16. The kinematics and mechanics of grasping mechanisms; 17. Grasp manipulability; 18. Hand mechanism compliance; Appendices; Index.
£100.70
CRC Press Engineering Optimization 2014
Book SynopsisTable of ContentsPreface , Organizers, Numerical optimization techniquesA comparative study between wavelet-adaptive multiple shooting and single shooting implemented in a MATLAB-EMSO environment L.S. Santos, A.R. Secchi & E.C. Biscaia Jr.Results comparison between SIMP and SERA for compliant mechanisms design C. Alonso, R. Ansola, E. Veguería & O.M. QuerinApplication of derivative-free multi-objective algorithms to reliability-based robust design optimization of a high-speed catamaran in real ocean environment R. Pellegrini, E.F. Campana, M. Diez, A. Serani, F. Rinaldi, G. Fasano, U. Iemma, G. Liuzzi, S. Lucidi & F. SternMulti-Objective Optimization (MDO) and differential geometry controlled Pareto front solution spacing C. Bakker & G.T. ParksSolving dual hesitant fuzzy assignment problem with restrictions using similarity measure P. SinghStructural optimization of frame structures by integer programming with design code failure constrains A. Kuckoski & J.S.O. FonsecaA study on multidisciplinary design optimization method for UUV M.Y.Wang, Z.F.Wei, Q. Yu & S.L. YangThe comprehensive optimization analysis of mechanical properties of the monohull ship S.L. Yang, Q. Yu &Y. ChenComprehensive optimization of the performance for USV and its methods S. Zhang, S.L. Yang, G.Y. Zhang & Y.Y.WenReal-time optimization by indirect NMPC methods C. Schwarz, R. Callies & A. SzaboInterval partitioning methods for mixed integer nonlinear problems B. Ergüne¸s, L. Özdamar, N. Gülcan & O. DemirMulti-stage stochastic distribution model L.T. Guardia & T.G. de TorresA novel hybrid method for optimal control problems and its application to trajectory optimization in micro manufacturing E. Bauma & T. SchusterA one-step discrete adjoint-based approach for combined design optimization and a posteriori error estimation J. Miranda, S. Abraham, K. Elsayed & C. LacorApplication of cellular automaton to combinatorial optimization problems K. Ishihashi, H. Furuta, Y. Nomura, K. Nakatsu & K. TakahashiA surrogate-assisted evolutionary algorithm for dynamic structural identification P. Gambarelli & L. VincenziMOGASI: A multi-objective genetic algorithm for efficiently handling constraints and diversified decision variables S. Costanzo, L. Castelli & A. TurcoA metric to assist the selection of the particle swarm optimization parameters C.A. da Silva Jr.,W.B. Saba, N.M. Abe & A. PassaroStructural design optimization of lightweight structures considering material selection and sizing M. Schatz, E.J.Wehrle & H. BaierApplication of the flower pollination algorithm in nonlinear algebraic systems with multiple solutions G.M. PlattSchemes in setting position and radius of RBF in convolute RBF for surrogate optimization M. Arakawa & S. KitayamaInvestigation of energy dissipation over stepped spillways using a hybrid FV-ANN technique A. Dolatshah, H. Imani Khoshkho & M. MashalRobust optimization of shunt circuits for the passive control of composite structures B.G.G.L. Zambolini-Vicente, V.A.C. Silva & A.M.G. de LimaRecent advances in the solution of large nonlinear optimisation problems withWORHP T. Linke, D.L.Wassel & C. BüskensAn improved methodology for airfoil shape optimization using surrogate based design optimization D. Rajaram & R.S. PantA new draft of resolution to the p-median problem J. Fernandes dos Santos & C. dos Santos MachadoOptimization of the ready-mixed concrete delivery system using transportation algorithm G. Albayrak & U. AlbayrakDesign optimization and inverse problemsPARETO and NASH fronts as the limit case of the isoperimetric inequality in multiobjective optimization theory V.V. KobelevDesign of material anisotropy constitutive matrices for structural stiffness and strength optimization P. Pedersen & N.L. PedersenA genetic algorithm for optimization of spatial trusses considering self-weight loads A.C.C. Lemonge, P.H. Hallak, L.G. Fonseca & H.J.C. BarbosaExistence and uniqueness of the regularized solution in the problem of recovery of the non-steady emission rate of a point source: Application of the adjoint method D. Parra-Guevara, Y.N. Skiba & A. Reyes-RomeroShape optimization of interior permanent magnet motor for torque ripple reduction E. Kuci, P. Duysinx, C. Geuzaine & P. DularStructural identification of two dimensional shear buildings using a modified adaptive harmony search algorithm M.M. Jahjouh & U. NackenhorstPractical interest of “anti-optimal” solutions in optimal structural design T. Messager & M. PyrzOptimization of an unitary split system air conditioner with variable refrigerant flow F.O.B. Brochier, M.L.S. Indrusiak & P.R.WanderOn the use of min-max algorithms in receding horizon control laws for harbor defense S. Lee, E. Polak & J.WalrandOn optimization of internal/external spur gears tooth bending strength N.L. PedersenApplication of Generalized Extremal Optimization (GEO) technique to design the orbit transfer solar sail control system I. Mainenti-Lopes, L.C.G. Souza & F.L. De SousaComparison between unrestricted dynamic shakedown design and a new probabilistic approach for structures under seismic loadings L. Palizzolo, S. Benfratello & P. TabbusoOptimization and investigation of the dynamical-optical behavior of mirror systems J. Störkle, N.Wengert & P. EberhardNumerical direct evolutionary identification of constitutive semi-crystalline polymer model parameters H. Abdul-Hameed, T. Messager, F. Zaïri & M. Naït-AbdelazizDesign of after-market wind turbine blade add-ons for noise reduction S.S. Rodrigues & A.C. MartaOptimal design of curved folded plates by optimality criteria method B. Balogh & J. LógóRecovering the functional form of nonlinear heat transfer by means of thermal imaging G. IngleseMultidisciplinary performance based optimization of aircraft F. Afonso, J. Vale, F. Lau & A. SulemanStochastic optimization in aircraft design L. Amândio, A. Marta, F. Afonso, J. Vale & A. SulemanPerformance optimization of complex continuous mining system using stochastic simulation M.S. Shishvan & J. BenndorfParameterization formulations for aerofoil shape optimization D.A. Vicente, P.V. Gamboa & M.A.R. Silvestre2-D shape optimization of aerostat envelopes using Kriging S.N. Paul, D. Patil & R.S. PantDesign optimization of the centrifugal clutch of the M3165 four-stroke internal combustion engine P. de F.V. CarvalheiraOptimization of a car radiator fin thickness P.WaisSimulation of polymeric membrane in Aspen Plus for CO2 post-combustion capture A. Pascu, A. Badea, C. Dinca & L. StoicaHybrid optimization algorithm applied on multistage axial compressor performance calculations with variable geometry O.F.R. Silva, J.T. Tomita, C. Bringhenti & D.F. CavalcaOn the optimization of a piezoelectric speaker for hearing aid application through multi-physical FE models G.C. Martins, P.R. Nunes & J.A. CordioliTopology optimization for improving the performance of solar cells D.K. Gupta, M. Langelaar, F. van Keulen & M. BarinkInformation-maximizing adaptive design of experiments for wind tunnel testing H.-L. Choi, J. Ahn & D.-H. ChoA graphic Java interface for the calculation of double azeotropes by the inversion of functions from the plane to the plane G.B. Libotte, G.M. Platt & A. de L. GuedesOptimisation of hierarchical structures for compression bearing applications D. Rayneau-Kirkhope, Y. Mao & R.S. FarrShape optimization for homogenized phononic materials and band gap structures E. Rohan, J. Vondˇrejc & J. HeczkoRobust reliability-based aerodynamic shape optimization D.I. Papadimitriou & C. PapadimitriouWeight minimization of truss structures subjected to dynamic loading M.M. Hedaya, A. Elsabbagh & A.M. HusseinInversion of functions from the plane to the plane to solve nonlinear algebraic systems: Calculating of double azeotrope using the modified Raoult’s Law in the mixture benzene+hexafluorobenzene A.L. Guedes, G.M. Platt & F.D.M. NetoExperimental studies of a variable water volume chiller system for energy conservation Y.F.Wang & Q. ChenThe topology optimization of electronic parts mounted on micro satellite H. Nakamura & T. MiyashitaDetermination of peel strength based on composition of adhesives for the footwear industry using genetic algorithm R.M. Paiva, C.C. António & L.M. SilvaPerformance based MDO of a regional transport aircraft with a joined wing configuration J. Vale, F. Afonso, F. Lau & A. SulemanA polynomial algorithm for a special case of the one-machine scheduling problem with time-lags H. RamalhinhoOptimization of multimodal shunt circuits for the passive control of composite structures V.A.C. Silva, B.G.G.L. Zambolini-Vicente & A.M.G. de LimaOptimal pitching axis of flapping-wings for hovering flight Q.Wang, J.F.L. Goosen & F. van KeulenModeling and parameter estimation of a biogas plant using maize silage in a two step model J.A. Arzate, M.N. Cruz Bournazou, M. Kirstein, P. Neubauer, S. Junne & B. HabermannHeat exchanger design optimization taking into account uncertainties of different correlations J. Lambert & L. GosselinTuning parameters using bio-inspired multiobjective optimization algorithm for topology optimization based on bacterial chemotaxis J.X. Leon & M.A. GuzmanOptimization of microstructures using statistical and physical descriptors within a cellular automaton framework A. Emami, T.Wu &A. TovarOptimization of a material with a negative stiffness provided by an inherent bistable element J. Heczko, Z. Dimitrovová & H.C. RodriguesApplication of relaxation matrix logic-structural in the allocation optimization of devices in power systems distribution M.M. Santos, A.R. Abaide, M. Sperandio &T.F. MilkeEfficient analysis and reanalysis techniquesUsing model order reduction to accelerate optimization of multi-stage linear dynamical systems Y. Yue, S. Li, L. Feng, A. Seidel-Morgenstern & P. BennerImproving inversion algorithms for geosounding inversion H. Hidalgo-Silva & E. Gómez-TreviñoOn solution of 3D contact shape optimization problems with Coulomb friction based on domain decomposition P. Beremlijski & A. MarkopoulosEfficient reliability-based optimization using a combined metamodel and FE-based strategy S. ShettySensitivity analysisA revised vertex enumeration algorithm via dual Fourier-Motzkin elimination method S.D. AbdullahiTopological derivatives for fundamental frequencies of elastic bodies V.V. KobelevSensitivity analysis of the model response in mechanized tunneling simulation – A case study assessment C. Zhao, A.A. Lavasan & T. SchanzReaeration coefficient sensitivity analysis for water quality river modelling V.T.R. Costa, J. Lugon Jr. & P.P.W. RodriguesIndustrial applicationsFlow optimization of hydraulic accumulators H. Ortwig, U. Zimmermann & D. HübnerTopology optimization of a wing structure F.C. Sousa, F.P. Lau & A. SulemanThe potential of support vector machines and Kriging in modelling the gas cyclone performance K. Elsayed, D. Vucinic & C. LacorMethod and system for control of flotation process based on preliminary estimates of ore grade V. Morozov, Z. Ganbaatar, L. Delgerbat & V. StoliarovA firefly based optimization algorithm for optimal planning of voltage controlled distributed generators M.M. Othman,W. El-Khattam, A.Y. Abdelaziz & Y.G. HegazyOptimization of the overload-protection degree A.V. Perelmuter & T.Y. VeriuzhskaA model for scheduling of employees using supplier selection S. HolopainenOptimization of a silver catalyzed formaldehyde plant using artificial neural networks R.L. Reis, R.M. Fontes, J.K.O. Fernandes, R.A. Kalid & K.V. PontesHypersonic cryogenic tank design using mixed-variable surrogate-based optimization Ch. Beauthier, A. Mahajan, C. Sainvitu, P. Hendrick, S. Sharifzadeh & D. VerstraetePolymer electrolyte fuel cell performances enhanced by under-rib convection J. Ahn, J. Lee, N.D. Vihn, S. Park, H.-M. Kim & K.-S. ChoiRobust assignment of fleet size and travel routes for transportation to a single-destiny using optimization via simulation E.G. Baquela & A.C. OliveraAn optimization model for truck tyres selection Z. Šabartová, A.-B. Strömberg, M. Patriksson & P. LindrothOptimization of storage space in port grain cereal storage silos – a case study M.G. Cardoso, E.P. Ferreira, M.P. Lopes & C. LopesA Hybrid Harmony Search (HHS) algorithm for a Green Vehicle Routing Problem (GVRP) R. Kawtummachai & T. ShohdohjiAutomotive shift quality optimization based on piecewise monotone interpolation of parameter characteristics A.Wurm, D. Bestle & S. KahlbauTemperature prediction in high speed incremental forming process by data mining techniques C. Ciancio, G. Ambrogio, L. Filice, F. Gagliardi & R. MusmannoOptimal race course design for air races R. CalliesAutomotive Powertrain optimization by genetic algorithm analysing transmission ratios G.B. Colherinhas, P.H.C. Dias, A.C.G.C. Diniz & A.P.S.P. RodriguesMulti-objective optimization to simultaneously address energy hub layout, sizing and scheduling using a linear formulation G. Mavromatidis, R. Evins, K. Orehounig, V. Dorer & J. CarmelietOptimal control in moving domains: An application to eutrophication L.J. Alvarez-Vázquez, A. Martínez & F.J. FernándezOptimum design of a dissipative link in wall-frame systems R. Greco & G.C. MaranoInverse procedure for determining transient fluid temperature based on temperature responses of the thermometer and pipeline wall J. Taler & M. JaremkiewiczModel-linearization strategies for MPC of the air-path of a diesel engine R. Bapst, M. Jakob, C. Onder, L. Guzzella & J. AsprionOptimization of the fuel consumption of M3165 four-stroke internal combustion engine P. de F.V. Carvalheira & J.M.F. NunesUse of genetic algorithms for spare parts distribution system A. Rybicková, A. Karásková & D. MockováMixture optimization and analysis of the chemical behavior of different types of ethanol for export M.C.O. Pedulla, J.I. Soletti & S.H.V. CarvalhoTowards a monolithic design of large aircraft wing spoilers using numerical topology and laminate optimization M. Meindlhumer, M. Schagerl & M. FleischmannDesign optimization of equivalent mooring system on truncated depth F.M.G. Ferreira, E.N. Lages, S.M.B. Afonso & P.R.M. LyraAchievement of metamodels for optimization of methylamines production process through computer aided design A.V.L. Machado, D.P. Leitoles, M.K. Lenzi, C.I. Yamamoto & L.F.L. Luz Jr.Optimization in biogas processes production. The importance of global sensitivity analysis, optimization procedure and uncertainty analysis A. Donoso-Bravo, G. Ruiz-Filippi & F. Carrera-ChapelaShape optimization of aircraft cabin ventilation components using adjoint CFD T. Köthe, S. Herzog & C.WagnerOptimization methods applied to nonlinear signal interference models M. da Silva, E.L.F. Senne & N.L. VijaykumarThe Combinatorial-Cyclic method of Optimization (CCOpt) in a scaled or full sized prototyping and virtual prototyping S. Zietarski, S. Kachel, A. Kozakiewicz & S. WrzesienShape optimization of inductors for preheating before laser welding and hardening D. Pánek, P. K°us, V. Kotlan, R. Hamar & I. DoleželAdjoint-based shape optimization of high-speed trains D. Jakubek, S. Herzog & C.WagnerOptimizing parameters of a downdraft biomass gasifier F.O. Centeno-González, K.A. Almeida, E.E.S. Lora & J.L. GonçalvesOptimal selection and operation of distributed energy resources for an urban district B. Morvaj, R. Evins & J. CarmelietRobust shape optimization of composite structure using metamodels A. Janushevskis, A. Melnikovs & J. JanusevskisModeling and analysis of control in one unit compression chlorine S.K.S. Carmo, L.G.S. Vasconcelos & M. da S.A. EmerencianoMinimizing the environmental impact of R-C structural elements M. Kripka, G.F. Medeiros, J.L.T. Fraga & P.R. MarosinAn adaptive multiscale approximation assisted multiobjective optimization applied to compact heat exchangers K.H. Saleh, D. Bacellar, V. Aute & R. RadermacherResidual stress and distortion after ejection for injection molded part with metal-insert by the process chain analysis K. Jin, T. Jeong & N. KimNumerical analysis and optimal design to reduce residual stresses and deformations of die casting sheets after ejection T. Kim, K. Jin, A. Teagen & N. KimThe ant colony optimization algorithm for offshore air transport in the northeast of Brazil L.O. Mota, K.A. Rocha, T.X.R. Souza, E. Jesus, A.M. Oliveira Jr., J.I. Soletti, S.H.V. Carvalho & D.F. SouzaProductivity and optimization of the brew production by mash variation V.B. Barreto, F.D.R. Amado & K.V. CruzOptimization of the DLR SpaceLiner inside the integration environment RCE S. Zur & A. TröltzschOptimization of corporate performance using data envelopment analysis with Maple J. Hrebícek, O. Trenz, Z. Chvátalová & J. SoukopováOn the optimization and accuracy of stress-strain curve determination using hydraulic bulge test H. Campos, B. Martins, A.D. Santos & F. BarlatThin-walled component design optimization for crashworthiness using principles of compliant mechanism synthesis and Kriging sequential approximation K. Liu, A. Tovar & D. DetwilerReliability-based topology optimization for uncertain building systems in seismic zones S. Bobby, S.M.J. Spence, E. Bernardini & A. KareemQuantum-inspired evolution for smart building energy management in future power networks R. Badawy, A. Heßler, S. Albayrak, B. Hirsch & A. YassineStudy of the dynamic behavior and development of the optimal procedure of startup a thermally coupled distillation column A.L.U. Vasconcelos, I.C. Nunes, L.G.S. Vasconcelos & R.P. BritoModeling and optimization of a distillation column using advanced optimization software (ROMeo) C. Quito, I. Bessa & K. PontesExperimental methodology for quantification analysis of methane emissions applied to the charcoal production in laboratory I.M.O. Maia, S.R. de Carvalho, V.L. Borges, R.L. Mota, L.D. Barbosa & E.A.P. de LimaAssessment of corrosion and mechanical properties of rebar used in a 50-year-old reinforced concrete industrial building M. Canbaz & U. AlbayrakExamination of material properties and carbonation of concrete in a 50-year-old structure M. Canbaz, U. Albayrak & E. UnluogluSeven-stage axial compressor optimization V.N. Matveev, O.V. Baturin, G.M. Popov & I.N. EgorovDynamic job shop scheduling with alternative routes based on genetic algorithm A. Ali, P. Hackney, D. Bell & M. BirkettMS01 – Topology optimization for structural static and dynamic failuresMajor advances in exact structural topology optimization: Stress and displacement based multi-load design G.I.N. Rozvany, V. Pomezanski, T. Sokoł & E. PintérOptimum structures of micropolar materials depending on elastic constants Y. Arimitsu, Z.Q.Wu, Y. Sogabe & T. KimuraTowards multi-objective topology optimization of structures subject to crash and static load cases N. Aulig, S. Menzel, E. Nutwell & D. DetwilerA robust approach to the optimization of structures made of unilateral material M. Bruggi & P. DuysinxOptimal packages: Binding regular polyhedra F. KovácsMS02 – Optimization in oil and gas industriesA multifidelity approach to waterflooding optimization M. Fragoso, B. Horowitz & J. RodriguesMulticriteria solutions for optimum reservoir management S.M.B. Afonso, L.C. Oliveira, J.W.O. Pinto, B. Horowitz & R.B.WillmersdorfA MILP formulation for scheduling oil tankers for offloading operations with variable travel time L.S. de Assis, E. Camponogara & A. PlucenioA modified shuffled frog-leaping algorithm to model products transport in pipeline networks F. Lamboia, L.V.R. de Arruda & F. Neves Jr.A mathematical programming formulation for robust production optimization of gas-lifted oil fields E. Hülse & E. CamponogaraOptimized ballast control in load-out operations M.C.T. Reyes, P. Kaleff, S.G. Ramon & J.R. SarmientoHelicopter routing problem applied to offshore platforms J.I. Soletti, S.H.V. Carvalho, C.J. Sousa &A.M. Oliveira Jr.MS03 – New advances in derivative-free optimization methods for engineering optimizationHybrid multi-criterion optimization strategies for complex technical problems S. KuxGlobal optimization design for expensive computational simulations in aerodynamics using a novel surrogate model approach L. Carro-Calvo, S. Salcedo-Sanz, E. Andrés-Pérez & M.J. Martin-BurgosStructural optimization of a joined wing aircraft using DMS algorithm T. Pires, J.F.A. Madeira &A. SulemanMS04 – Optimization methods in biomechanics and biomedical engineeringA pre-operational study magnification measurement and error estimation of residual tibia kinematics within below knee prosthetics A. Breen, M. Dupac, S. Noroozi & N. OsborneOptimal approach to the human motion reconstruction within the limitation of the kinematic data acquisition procedures C. Quental, J. Folgado, J. Ambrósio & J. MonteiroThe callus formation in bone healing as a shape optimization problem F.O. Ribeiro, P.R. Fernandes, J. Folgado, M.J. Gómez-Benito & J.M. García-AznarA framework for custom design and fabrication of cranio-maxillofacial prostheses using investment casting V. Csáky, R.J. Neto, T.P. Duarte, J. Lino Alves, M. Couto & M. MachadoParametric optimization of coronary stents based on finite element models N.S. Ribeiro, J.O. Folgado & H.C. RodriguesMS05 – Optimization of laminated composite structuresHierarchical optimization of fiber reinforced composites for natural frequencies R.T.L. Ferreira, H.C. Rodrigues & J.M. GuedesOptimal design of composite structures subjected to fatigue loading in a fuzzy environment P. Ke˛dziora &A. MucReducing of the stress concentration near mounting zones of the wind turbine composite blade P.A. Oganesyan, I.V. Zhilyaev, V.S. Shevtsova & J.-K.WuCombined topology and stacking sequence optimization of composite laminated structures for structural performance measures G.P. Rodrigues, J.M. Guedes & J.O. FolgadoViscoelastic material parameter estimation in sandwich structures V.J.S. Carvalho, A.L. Araújo & N.M.M. MaiaA design optimization study of a partially damped sandwich structure S. Naimi, S. Assaf & M.A. HamdiMS06 – Inverse problems in engineeringDirect and optimization methods for the localization of obstacles in a porous media N.F.M. MartinsBayesian estimate of mass fraction of burned fuel in internal combustion engines using pressure measurements D.C. Estumano, F.C. Hamilton, M.J. Colaço, A.J.K. Leiroz, H.R.B. Orlande, R.N. Carvalho & G.S. DulikravichComparison of two inverse strategies to characterise soil profiles D.N.Wilke, S. Kok & G. HeymannEstimating the stress-strain curve of steel wire S. Kok & D.N.WilkeMeshless methods for the inverse problem related to the determination of non-Newtonian fluid properties from the volume flow experiment J.A. Kołodziej, M. Mierzwiczak & J.K. GrabskiDetermination of non-uniformity of unidirectional fibrous porous media as inverse problem J.A. Kolodziej, M. Mierzwiczak & P. FritzkowskiSimultaneous boundary value and material parameter estimation using imperfect compression data G.J. Jansen van Rensburg, S. Kok & D.N.WilkeOn introducing restrictions for mechanism design I. Fernández de Bustos, V. García Marina, R. Ansola & M. AbásoloUsing inverse mapping to directly solve inverse problems E. Asaadi, S. Kok & P.S. HeynsA new aerodynamic inverse method for the design of ducts J.E. BorgesFall detection modeling based on inverse problems I. Figueiredo, S. Kumar, C. Leal & L. PintoAuthor index
£999.99
CRC Press The Beauty of Mathematics in Computer Science
Book SynopsisA series of essays introducing the applications of machine learning and statistics in natural language processing, speech recognition and web search for non-technical readersTrade Review"This volume originates from a series of blog articles by the author, who works as senior staff research scientist for Google China. The blog articles have been rewritten to make them more accessible to uninitiated readers. As a result, the book contains 29 chapters which may be read independently. The aim is to provide evidence for the beauty of mathematics and the wealth of its applications to the layman . . . The volume may be quite valuable for readers who want to get some insight into how enterprises like Google achieve their performance, and how much mathematics is at work in the background of many commonplace services . . . "~Dieter Riebesehl (Lüneburg), zbMathTable of ContentsWords, languages vs. numbers, information. Natural language processing: from rules to statistics. Statistical language models. Chinese, Japanese, and Korean Word segmentation. Hidden Markov models. Measurement and usage of information. Fred Jelinek and modern natural language processing. Beauty of simplicity: Boolean algebra and search engines. Graph theory and web crawlers. PageRank–Google’s democratic ranking algorithm. Determing the relevance of webpages and queries. Finite state machines and dynamic programming: Core technologies of Google local search. Cosine similarity and news classification. Matrix calculation and clustering of text documents. Information fingerprints and their applications. Mathematical principles of cryptography. All that is gold does not glitter: search engine anti-SPAM. The importance of mathematical models. Don’t put all your eggs in one basket: maximum entropy modeling. The principle of (Chinese pinyin) input method editor. Bloom filter. Bayesian networks: Extensions of hidden Markov models. Conditional random field, syntactic parsing, and other applications. Viterbi and his algorithm. God algorithm: Expectation-maximization algorithms. Logistic regression and web search advertisement. Divide and conquer and Google cloud computing fundamentals. Google Brain and neural networks. The power of big data.
£999.99
Pearson Education Digital Control System Analysis Design Global
Book SynopsisAppropriate for a one semester/two-quarter senior-level course in digital or discrete-time controls. This revision of the best-selling text in digital controls is a significant update with the integration of MATLAB software and new coverage in several areas. Table of Contents Chapter 1: Introduction Chapter 2: Discrete-Time Systems and the z-Transform Chapter 3: Sampling and Reconstruction Chapter 4: Open-Loop Discrete-Time Systems Chapter 5: Closed-Loop Systems Chapter 6: System Time-Response Characteristics Chapter 7: Stability Analysis Techniques Chapter 8: Digital Controller Design Chapter 9: Pole-Assignment Design and State Estimation Chapter 10: System Identification of Discrete-Time Systems Chapter 11: Linear Quadratic Optimal Control Chapter 12: Case Studies Appendix I: Design Equations Appendix II: Mason’s Gain Formula Appendix III: Evaluation of E*(s) Appendix IV: Review of Matrices Appendix V: The Laplace Transform Appendix VI: z-Transform Tables
£999.99
Springer London Ltd Dynamics and Control of Mechanical Systems in
Book SynopsisDynamics and Control of Mechanical Systems in Offshore Engineering is a comprehensive treatment of marine mechanical systems (MMS) involved in processes of great importance such as oil drilling and mineral recovery. Ranging from nonlinear dynamic modeling and stability analysis of flexible riser systems, through advanced control design for an installation system with a single rigid payload attached by thrusters, to robust adaptive control for mooring systems, it is an authoritative reference on the dynamics and control of MMS. Readers will gain not only a complete picture of MMS at the system level, but also a better understanding of the technical considerations involved and solutions to problems that commonly arise from dealing with them. The text provides: a complete framework of dynamical analysis and control design for mariTable of ContentsPreliminaries.- Dynamic Load Positioning.- Coupled Nonlinear Flexible Marine Riser.- Flexible Marine Riser with Vessel Dynamics.- Riser System with a Torque Actuator.- Marine Installation System.- Riser Installation System.- Mooring System.
£89.99
Taylor & Francis Inc Data Clustering
Book SynopsisResearch on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biologicTable of ContentsAn Introduction to Cluster Analysis. Feature Selection for Clustering: A Review. Probabilistic Models for Clustering. A Survey of Partitional and Hierarchical Clustering Algorithms. Density-Based Clustering. Grid-Based Clustering. Non-Negative Matrix Factorizations for Clustering: A Survey. Spectral Clustering. Clustering High-Dimensional Data. A Survey of Stream Clustering Algorithms. Big Data Clustering. Clustering Categorical Data. Document Clustering: The Next Frontier. Clustering Multimedia Data. Time Series Data Clustering. Clustering Biological Data. Network Clustering. A Survey of Uncertain Data Clustering Algorithms. Concepts of Visual and Interactive Clustering. Semi-Supervised Clustering. Alternative Clustering Analysis: A Review. Cluster Ensembles: Theory and Applications. Clustering Validation Measures. Educational and Software Resources for Data Clustering. Index.
£120.00
Sae Edge Research Report Unsettled Topics on Nondestructive Testing of
Book Synopsis
£84.59
CRC Press Graph Theory and Its Applications
Book SynopsisGraph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs. The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.Features of the Third Edition Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions) Provides better coverage of algorithms and algebraic and topological graph theory than any otherTable of ContentsIntroduction to Graph Models Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes. Structure and Representation Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations. Trees Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees. Spanning Trees Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm. Connectivity Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions. Optimal Graph Traversals Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems. Planarity and Kuratowski’s Theorem Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness. Graph Colorings Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization. Special Digraph Models Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph. Network Flows and Applications Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers. Graph Colorings and Symmetry Automorphisms of Simple Graphs. Equivalence Classes of Colorings. Appendix
£80.74
O'Reilly Media Arduino A Technical Reference
Book SynopsisThis book brings together in one place all the information you need to get something done with Arduino. It will save you from endless web searches and digging through translations of datasheets or notes in project-based texts to find the information that corresponds to your own particular setup and question.
£31.99
Taylor & Francis Inc ModelBased Machine Learning
Book SynopsisToday, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system.The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solvTable of ContentsIntroduction. How Can Machine Learning Solve my Problem? 1. A Murder Mystery 2. Assessing People’s Skills Interlude. The Machine Learning Life Cycle 3. Meeting Your Match 4. Uncluttering Your Inbox 5. Making Recommendations 6. Understanding Asthma 7. Harnessing the Crowd 8. How to Read a Model Afterword
£71.99
Lioncrest Publishing Food 5.0: How We Feed The Future
Book Synopsis
£16.04
Artech House Publishers An Engineer's Guide to Automated Testing of
Book SynopsisThis second edition of An Engineer's Guide to Automated Testing of High-Speed Interfaces provides updates to reflect current state-of-the-art high-speed digital testing with automated test equipment technology (ATE). Featuring clear examples, this one-stop reference covers all critical aspects of automated testing, including an introduction to high-speed digital basics, a discussion of industry standards, ATE and bench instrumentation for digital applications, and test and measurement techniques for characterization and production environment. Engineers learn how to apply automated test equipment for testing high-speed digital I/O interfaces and gain a better understanding of PCI-Express 4, 100Gb Ethernet, and MIPI while exploring the correlation between phase noise and jitter. This updated resource provides expanded material on 28/32 Gbps NRZ testing and wireless testing that are becoming increasingly more pertinent for future applications. This book explores the current trend of merging high-speed digital testing within the fields of photonic and wireless testing.Table of ContentsHigh-Speed Digital Basics; High-Speed Interface Standards; ATE Instrumentation for Digital Applications; Tests and Measurements; Production Testing; Support Instrumentation; Test Fixture Design; Advanced ATE Topics; Introduction to Gaussian Distribution and Analytical Computation of the BER, The Dual Dirac Model and RJ/DJ Separation; Pseudo-Random Bit Sequences and Other Data Patterns; Coding, Scrambling, Disparity, and CRC; Time Domain Reflectometry and Time Domain Transmission (TDR/TDT); S-Parameters; Engineering CAD Tools; Test Fixture Evaluation and Characterization; Jitter Injection Calibration; Phase Noise, RMS Jitter and Random Jitter.
£91.80
now publishers Inc Resource-aware Automotive Control Systems Design:
Book SynopsisAs the automotive industry faces into the smart era through advances in sensing, computation, storage, communication, and actuation technologies, a larger number of more complex control applications with better performances are expected to be on board. This requires an implementation platform with abundant resources, which is a major challenge in the cost-sensitive automotive domain. The implementation platform, often embedded in an Electronic Control Unit (ECU) and shared by multiple applications to save cost, is mainly comprised of a processor for computation, memory for storing instructions and data, and bus for internal and external communication.Conventionally, automotive control systems are designed using model-based approaches, where the details of the implementation platform are ignored. Techniques that integrate the characteristics of implementation resources into control algorithms design are largely missing. Such a separate design paradigm is too conservative in resources dimensioning and utilization for modern vehicles.This monograph presents recently developed approaches in automotive control systems design that take implementation resources into consideration, aiming to improve the control performances for a given amount of resources, or equivalently, realize the required control performances with fewer resources. While communication resources have been extensively explored in the literature of networked embedded control systems, this book focuses on memory and computation resources, which have started to receive attention from the academic community and industry just recently.As Electric Vehicles (EVs) have become a new trend in the automotive industry, energy resources of EVs are also investigated. A number of real-world applications validate the resource-aware automotive systems design techniques presented in the monograph. This text will be of interest to researchers and engineers in the automotive, embedded system and control domains.Table of Contents 1: Introduction 2: Background 3: Memory-Aware Automotive Control Systems Design 4: Computation-Aware Automotive Control Systems Design 5: Battery- and Aging-Aware Automotive Control Systems Design 6: Concluding Remarks References
£999.99
Apple Academic Press Machine Learning in Healthcare
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£142.50
Springer London Ltd Robotics: Modelling, Planning and Control
Book SynopsisThe classic text on robot manipulators now covers visual control, motion planning and mobile robots too!Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.Trade ReviewRobotics: Modelling, Planning and Control is a book that comprehensively covers all aspects of robotic fundamentals. It is particularly an excellent text for graduate educators, as it covers the fundamentals of the field with a rigorous formalism that is well blended with the technological aspects of robotics. The text covers in detail the theory of manipulators and wheeled robots starting with kinematics, dynamics and motion control, as well interaction with the environment through perception - force and vision sensors. The book is written by technical authorities in the field, and will be in invaluable addition to graduate education as well as a useful guide for industrial practitioners. Alexander Zelinsky, CSIRO, Australia Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. This book is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for a first year graduate course in robotics. Vijay Kumar, University of Pennsylvania This book provides rock-solid foundations for the study of classical mechanics and control of robots, with the authoritative character of a reference where you can surely find the correct expression and the rigorous derivation of the results you need. On top of this, new chapters on motion planning, visual servoing, and mobile robot control provide support to teaching wider and more interdisciplinary aspects of robotics, and open up vistas that will certainly inspire a new generation of scholars to embrace this incredibly rich and fertile research field. Antonio Bicchi, University of Pisa, Italy This book offers a well-balanced and intellectually satisfying treatment of robot mechanics, planning, and control – from the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics, this book is an essential element in the library of every aspiring young robotics researcher. Frank Chongwoo Park, Seoul National University Robotics: Modeling, Planning and Control is a historiography from the materialistic view of robotics. Authors clearly explain physical and mathematical foundation to understand the most up-to-date robotics, so faithfully to bibliography and terminology in robotics. Unquestionably, the best textbook for senior students and graduate students and the closest reference book for engineers and scientists! Yoshihiko Nakamura, University of Tokyo Exceptional! A text with such a span of robotics fundamentals and advanced research in both manipulation and mobility, and a treatment that creatively balances mathematical depth and physical intuition – a fresh and certainly unique reference for researchers and engineers in the field of robotics. Oussama Khatib, Stanford University Certainly because of its youth, robotics is not always considered as a discipline as such. It is often introduced as a technological "area" integrating various aspects of mechanics, automatic control and computer science. Such a dispersed view is prejudicial for students. The book by Siciliano et al. achieves the introduction of the basic concepts in a coherent, self-contained and didactic way. In that sense, when reading Robotics: Modelling, Planning and Control the reader – from the undergraduate student to the researcher – understands that a new discipline is born, with its own foundations. Jean-Paul Laumond, LAAS-CNRSTable of ContentsKinematics.- Differential Kinematics and Statics.- Trajectory Planning.- Actuators and Sensors.- Control Architecture.- Dynamics.- Motion Control.- Force Control.- Visual Servoing.- Mobile Robots.- Motion Planning.
£80.99
Springer London Ltd Model Predictive Control System Design and
Book SynopsisModel Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.Trade ReviewFrom the reviews:“This monograph gives an introduction to model predictive control and recent developments in its design and implementation using Matlab and Simulink. The book is aimed at a wide readership ranging from industrial control engineers to graduate students in the process and control disciplines.” (IEEE Control Systems Magazine, Vol. 30, August, 2010)“The book gives an introduction to Model Predictive Control (MPC), and recent developments in design and implementation. … The book’s approach is expected to appeal to a wide readership ranging from the industrial control engineer to the postgraduate student in the process and control disciplines. Both will find the MATLAB demonstrations of the control concepts a valuable tutorial route to understanding MPC in practice.” (Karl-Heinz Waldmann, Zentralblatt MATH, Vol. 1200, 2011)Table of ContentsDiscrete-time MPC for Beginners.- Discrete-time MPC with Constraints.- Discrete-time MPC Using Laguerre Functions.- Discrete-time MPC with Prescribed Degree of Stability.- Continuous-time Orthonormal Basis Functions.- Continuous-time MPC.- Continuous-time MPC with Constraints.- Continuous-time MPC with Prescribed Degree of Stability.- Classical MPC Systems in State-space Formulation.- Implementation of Predictive Control Systems.
£134.99
Springer Nature Switzerland AG Event-Triggered Sliding Mode Control: A New Approach to Control System Design
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£85.49
Springer Nature Switzerland AG Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties
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£80.99
Springer Nature Switzerland AG Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection
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£80.99
Springer Nature Switzerland AG Multiplicative Inverse Functional Equations: Theory and Applications
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£80.99
Springer Nature Switzerland AG Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
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£80.99
Springer Nature Switzerland AG Advanced Human-Robot Collaboration in
Book SynopsisThis book presents state-of-the-art research, challenges and solutions in the area of human–robot collaboration (HRC) in manufacturing. It enables readers to better understand the dynamic behaviour of manufacturing processes, and gives more insight into on-demand adaptive control techniques for industrial robots.With increasing complexity and dynamism in today’s manufacturing practice, more precise, robust and practical approaches are needed to support real-time shop-floor operations. This book presents a collection of recent developments and innovations in this area, relying on a wide range of research efforts.The book is divided into five parts. The first part presents a broad-based review of the key areas of HRC, establishing a common ground of understanding in key aspects. Subsequent chapters focus on selected areas of HRC subject to intense recent interest. The second part discusses human safety within HRC. The third, fourth and fifth parts provide in-depth views of relevant methodologies and algorithms. Discussing dynamic planning and monitoring, adaptive control and multi-modal decision making, the latter parts facilitate a better understanding of HRC in real situations. The balance between scope and depth, and theory and applications, means this book appeals to a wide readership, including academic researchers, graduate students, practicing engineers, and those within a variety of roles in manufacturing sectors.Table of ContentsPart I: Literature Survey.- Current Status in Human-Robot Collaborative Assembly.- Latest Developments of Gesture Recognition for Human-Robot Collaboration.- Challenges and Characteristics of Safety for Human-Robot Collaborative Systems.- Part II: Human Safety in Human-Robot Collaboration.- Real-Time Collision and Detection and Collision Avoidance.- Collision-Free Dynamic Robot Trajectory Planning.- Zone-Based Robot Control for Safe Collaboration with Robots.- Part III: Dynamic Planning and Monitoring.- Resource Availability and Capability Monitoring.- Dynamic Assembly Planning and Task Assignment.- Cockpit: A Portal for Symbiotic Human-Robot Collaborative Assembly.- Human-Robot Collaborative Workcell Calibration and Control.- Part IV: Adaptive Robot Control.- Drag&Bot: A Toolbox for Assembly Process Encapsulation.- A Programming-Free Approach for Robot Control Based on Function Blocks.- Sensorless Haptic Control for Physical Human-Robot Interactions.- Part V: Multimodal Decision Support.- Human Worker Tracking and Identification in Dynamic Human-Robot Collaborative Environments.- Multimodal Communication with Robots and Decision Support to Humans.- A Real-World Case Study on Human-Robot Collaborative Assembly
£142.49
Springer Nature Switzerland AG Energy-Efficient and Semi-automated Truck
Book SynopsisThis open access book presents research and evaluation results of the Austrian flagship project “Connecting Austria,” illustrating the wide range of research needs and questions that arise when semi-automated truck platooning is deployed in Austria. The work presented is introduced in the context of work in similar research areas around the world. This interdisciplinary research effort considers aspects of engineering, road-vehicle and infrastructure technologies, traffic management and optimization, traffic safety, and psychology, as well as potential economic effects. The book’s broad perspective means that readers interested in current and state-of-the-art methods and techniques for the realization of semi-automated driving and with either an engineering background or with a less technical background gain a comprehensive picture of this important subject. The contributors address many questions such as: Which maneuvers does a platoon typically have to carry out, and how? How can platoons be integrated seamlessly in the traffic flow without becoming an obstacle to individual road users? What trade-offs between system information (sensors, communication effort, etc.) and efficiency are realistic? How can intersections be passed by a platoon in an intelligent fashion? Consideration of diverse disciplines and highlighting their meaning for semi-automated truck platooning, together with the highlighting of necessary research and evaluation patterns to address such a broad task scientifically, makes Energy-Efficient and Semi-automated Truck Platooning a unique contribution with methods that can be extended and adapted beyond the geographical area of the research reported.Table of ContentsPart I: Introduction & Research Approach.- Research Need: An Overview on Project “Connecting Austria”.- Platooning Around the World.- Research Design & Evaluation Strategies.- Truck Platooning Requirements Analysis.- Part II: Methodology.- Computation Fluid Dynamics Assessment of Truck Platoons.- Simulation of Platoon Dynamics, Optimization & Traffic Effects.- Platoon Control Concepts.- Part III: Simulations, Tests and Demonstrations.- ZalaZone.- Scenario-Based Simulation Studies on Platooning Effects in Traffic.- Fuel Efficiency.- Traffic Measurement for the Intersection Case in Hallein, Austria.- Part IV: Analysis of Results.- Requirements for Truck Platooning from a Road Safety Perspective.- Energy, Fuel & Traffic Efficiency of Platooning.- Business Models, Economy & Innovation.- Truck Drives.- How Platooning Research Enhances the European Innovation System – Even Without Electronically-Coupled Trucks on the Road.- Discussion.
£34.99
Springer Nature Switzerland AG Discrete Dynamics: Basic Theory and Examples
Book SynopsisThis book offers a complete and detailed introduction to the theory of discrete dynamical systems, with special attention to stability of fixed points and periodic orbits. It provides a solid mathematical background and the essential basic knowledge for further developments such as, for instance, deterministic chaos theory, for which many other references are available (but sometimes, without an exhaustive presentation of preliminary notions). Readers will find a discussion of topics sometimes neglected in the research literature, such as a comparison between different predictions achievable by the discrete time model and the continuous time model of the same application. Another novel aspect of this book is an accurate analysis of the way a fixed point may lose stability, introducing and comparing several notions of instability: simple instability, repulsivity, and complete instability. To help the reader and to show the flexibility and potentiality of the discrete approach to dynamics, many examples, numerical simulations, and figures have been included. The book is used as a reference material for courses at a doctoral or upper undergraduate level in mathematics and theoretical engineering.Trade Review“The book is well written, easy to read and has many exciting examples to motivate the results. Therefore, it is a book which deserves to be read.” (José S. Cánovas Peña, Mathematical Reviews, January, 2023)“This quite small book belonging to a series entitled ‘Mathematical Engineering’ is a self-contained introduction to discrete- time systems. Motivated by applications arising from physics, engineering … economics and other natural sciences, it is mainly addressed to students, aiming to show that discrete dynamics deserves its own interest and is not easy to study. … The reviewed book can be considered … as a preliminary study for more complete monographs … .” (Vladimir Răsvan, zbMATH 1492.37001, 2022)Table of ContentsDiscrete dynamical systems.- Stability and attraction.- Bifurcations.- Positive linear systems.
£54.99
Springer International Publishing AG Closed Loop Control and Management: Introduction
Book SynopsisThe block diagrams as engineering means for closed loop control, which have been established by classic control theory for decades, are replaced in the above mentioned book by networks, the signals are replaced by data. It corresponds to the „Industry 4.0“ and to the structure of today’s automatic control systems. Thereby a classic closed loop is treated not isolated from other elements of nowadays automation like bus communication and process logical control, and is completed in proposed book with new control elements, so called data stream managers (DSM). The proposed book treats the control theory systematically like it is done in classical books considering the new concept of data management. The theory is accompanied in the book with examples, exercises with solutions and MATLAB®-simulations.Table of ContentsClassic closed loop control from Heron till now:- Basics of the closed loop management.- Engineering of closed loops.- Mathematical Backgrounds.
£52.24
Springer International Publishing AG HSystems
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£116.99
Springer International Publishing AG Medical Robotics
Book SynopsisThis book provides a thorough background to the emerging field of medical robotics. It covers the mathematics needed to understand the use of robotic devices in medicine, including but not limited to robot kinematics, hand-eye and robot-world calibration, reconstruction, registration, motion planning, motion prediction, motion correlation, motion replication and motion learning. Additionally, basic methods behind state-of-the art robots like the DaVinci system, the CyberKnife, motorized C-arms and operating microscopes as well as stereotactic frames are presented. The book is a text book for undergraduates in computer science and engineering.The main idea of the book is to motivate the methods in robotics in medical applications rather than industrial applications. The book then follows the standard path for a robotics textbook. It is thus suitable for a first course in robotics for undergraduates. It is the first textbook on medical robotics.Table of ContentsIntroduction.- Describing Spatial Position and Orientation.- Robot Kinematics.- Joint Velocities and Jacobi-Matrices.- Navigation and Registration.- Treatment Planning.- Motion Correlation and Tracking.- Motion Prediction.- Motion Replication.- Applications of Surgical Robotics.- Rehabilitation, Neuroprosthetics and Brain-Machine Interfaces.
£49.49
Springer International Publishing AG Human Subject Research for Engineers: A Practical
Book SynopsisThis Brief introduces engineers to the main principles in ethics, research design, statistics, and publishing of human subject research. In recent years, engineering has become strongly connected to disciplines such as biology, medicine, and psychology. Often, engineers (and engineering students) are expected to perform human subject research. Typical human subject research topics conducted by engineers include human-computer interaction (e.g., evaluating the usability of software), exoskeletons, virtual reality, teleoperation, modelling of human behaviour and decision making (often within the framework of ‘big data’ research), product evaluation, biometrics, behavioural tracking (e.g., of work and travel patterns, or mobile phone use), transport and planning (e.g., an analysis of flows or safety issues), etc. Thus, it can be said that knowledge on how to do human subject research is indispensable for a substantial portion of engineers. Engineers are generally well trained in calculus and mechanics, but may lack the appropriate knowledge on how to do research with human participants. In order to do high-quality human subject research in an ethical manner, several guidelines have to be followed and pitfalls have to be avoided. This book discusses these guidelines and pitfalls. The aim is to prepare engineers and engineering students to carry out independent research in a responsible manner.Table of Contents1 Scientific Method, Human Research Ethics and Biosafety/Biosecurity.- 2 Experimental Design.- 3 Statistics.- 4 Publishing.- MATLAB Scripts.
£999.99
Springer International Publishing AG Robotics Goes MOOC: Knowledge
Book SynopsisThe robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetz et al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.Table of Contents1 Khatib, The Journey of Robotics.- 2 Nüchter, Sensing and Estimation.- 3 Kröger, Control and Motion Planning.- 4 Villani, Force Control.- 5 Chaumette, Visual Control.- 6 Peters, Learning.- 7 Beetz, Knowledge Representation and Reasoning- 8 Burgard, Graph-Based SLAM.
£44.99
Springer International Publishing AG Breaking Down Barriers: Usability, Accessibility
Book SynopsisThe Cambridge Workshops on Universal Access and Assistive Technology (CWUAAT) is one of the few gatherings where people interested in inclusive design, across different fields, including designers, computer scientists, engineers, architects, ergonomists, ethnographers, policymakers and user communities, meet, discuss, and collaborate. CWUAAT has also become an international workshop, representing diverse cultures including Portugal, Germany, Trinidad and Tobago, Canada, Australia, China, Norway, USA, Belgium, UK, and many more. The workshop has five main themes based on barriers identified in the developing field of design for inclusion: I Breaking Down Barriers between Disciplines II Breaking Down Barriers between Users, Designers and Developers III Removing Barriers to Usability, Accessibility and Inclusive Design IV Breaking Down Barriers between People with Impairments and Those without V Breaking Down Barriers between Research and Policy-making In the context of developing demographic changes leading to greater numbers of older people and people living with impairments, the general field of inclusive design research strives to relate the capabilities of the population to the design of products, services, and spaces. CWUAAT has always had a successful multidisciplinary focus, but if genuine transdisciplinary fields are to evolve from this, the final barriers to integrated research must be identified and characterised. Only then will benefits be realised in an inclusive society. Barriers do not arise from impairments themselves, but instead, are erected by humans, who often have not considered a greater variation in sensory, cognitive and physical user capabilities. Barriers are not only technical or architectural, but they also exist between different communities of professionals. Our continual goal with the CWUAAT workshop series is to break down barriers in technical, physical, and architectural design, as well as barriers between different professional communities. Trade Review“Technical communicators interested in learning about the inclusive design aspect of User Experience will find Breaking Down Barriers: Usability, Accessibility and Inclusive Design both fascinating and inspiring. … Technical communicators will find Breaking Down Barriers a worthwhile read as they learn what work is going on to advance inclusive design methods. All readers will be encouraged to learn how so many teams, communities, and companies around the world are working to improve the lives of so many people.” (Scott Fouse, Technical Communication, Vol. 66 (1), February, 2019)Table of ContentsBreaking Down Barriers Between Disciplines.- Breaking Down Barriers Between Users, Designers and Developers.- Removing Barriers to Usability, Accessibility and Inclusive Design.- Breaking Down Barriers Between People with Impairments and Those Without.- Breaking Down Barriers Between Scientists and Policy Makers.- Removing Barriers to Open Data and Open Government.- Recent Barriers to Effective Rehabilitation Robotics.
£999.99
