Automation 2019, Roman Szewczyk; Cezary Zieli?ski; Ma?gorzata Kalic
Название: Robotic Welding, Intelligence and Automation ISBN: 3540208046 ISBN-13(EAN): 9783540208044 Издательство: Springer Рейтинг: Цена: 14673.00 р. 20962.00-30% Наличие на складе: Есть (1 шт.) Описание: This research report brings together present trends in advanced welding robots, robotic welding, artificial intelligent and automatic welding. It includes important technical subjects on welding robots such as intelligent technologies and systems, and design and analysis. Modeling, identification and control of the welding process are presented, as well as knowledge-based systems for welding and tele-robotic welding. Other topics covered are sensing and data fusion, computer vision and virtual-reality applications of the welding process. An overview of intelligent and flexible manufacturing systems is given in addition to artificial intelligent technologies for industrial processes.
Автор: John Soldatos Название: The Digital Shopfloor ISBN: 8770220417 ISBN-13(EAN): 9788770220415 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In today’s competitive global environment, manufacturers are offered with unprecedented opportunities to build hyper-efficient and highly flexible plants, towards meeting variable market demand, while at the same time supporting new production models such as make-to-order (MTO), configure-to-order (CTO) and engineer-to-order (ETO). During the last couple of years, the digital transformation of industrial processes is propelled by the emergence and rise of the fourth industrial revolution (Industry 4.0). The latter is based on the extensive deployment of Cyber-Physical Production Systems (CPPS) and Industrial Internet of Things (IIoT) technologies in the manufacturing shopfloor, as well as on the seamless and timely exchange of digital information across supply chain participants. The benefits of Industry 4.0 have been already proven in the scope of pilot and production deployments in a number of different use cases including flexibility in automation, predictive maintenance, zero defect manufacturing and more. Despite early implementations and proof-of-concepts, CPPS/IIoT deployments are still in their infancy for a number of reasons, including: Manufacturers’ poor awareness about digital manufacturing solutions and their business value potential, as well as the lack of relevant internal CPPS/IIoT knowledge. The high costs that are associated with the deployment, maintenance and operation of CPPS systems in the manufacturing shopfloors, which are particularly challenging in the case of SME (Small Medium Enterprises) manufacturers that lack the equity capital needed to invest in Industry 4.0. The time needed to implement CPPS/IIoT and the lack of a smooth and proven migration path from existing OT solutions. The uncertainty over the business benefits and impacts of IIoT and CPPS technologies, including the lack of proven methods for the techno-economic evaluation of Industry 4.0 systems. Manufacturers’ increased reliance on external integrators, consultants and vendors. The absence of a well-developed value chain needed to sustain the acceptance of these new technologies for digital automation. In order to alleviate these challenges, three European Commission funded projects (namely H2020 FAR-EDGE (http://www.far-edge.eu/), H2020 DAEDALUS (http://daedalus.iec61499.eu) and H2020 AUTOWARE (http://www.autoware-eu.org/)) have recently joined forces towards a “Digital Shopfloor Alliance”. The Alliance aims at providing leading edge and standards based digital automation solutions, along with guidelines and blueprints for their effective deployment, validation and evaluation. The present book provides a comprehensive description of some of the most representative solutions that offered by these three projects, along with the ways these solutions can be combined in order to achieve multiplier effects and maximize the benefits of their use. The presented solutions include standards-based digital automation solutions, following different deployment paradigms, such as cloud and edge computing systems. Moreover, they also comprise a rich set of digital simulation solutions, which are explored in conjunction with the H2020 MAYA project (http://www.maya-euproject.com/). The latter facilitate the testing and evaluation of what-if scenarios at low risk and cost, but also without disrupting shopfloor operations. As already outlined, beyond leading edge scientific and technological development solutions, the book comprises a rich set of complementary assets that are indispensable to the successful adoption of IIoT/CPPS in the shopfloor. The book is structured in three parts as follows: The first part of the book is devoted to digital automation platforms. Following an introduction to Industry 4.0 in general and digital automation platforms in particular, this part presents the digital automation platforms of the FAR-EDGE, AUTOWARE and DAEDALUS projects. The second part of the book focuses on the presentation of digital simulation and digital twins’ functionalities. These include information about the models that underpin digital twins, as well as the simulators that enable experimentation with these processes over these digital models. The third part of the book provides information about complementary assets and supporting services that boost the adoption of digital automation functionalities in the Industry 4.0 era. Training services, migration services and ecosystem building services are discussed based on the results of the three projects of the Digital Shopfloor Alliance. The target audience of the book includes: Researchers in the areas of Digital Manufacturing and more specifically in the areas of digital automation and simulation, who wish to be updated about latest Industry 4.0 developments in these areas. Manufacturers, with an interest in the next generation of digital automation solutions based on Cyber-Physical systems. Practitioners and providers of Industrial IoT solutions, which are interested in the implementation of use cases in automation, simulation and supply chain management. Managers wishing to understand technologies and solutions that underpin Industry 4.0, along with representative applications in the shopfloor and across the supply chain.
Автор: Vongbunyong, Supachai Chen, Wei Hua Название: Disassembly automation ISBN: 3319386484 ISBN-13(EAN): 9783319386485 Издательство: Springer Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a number of aspects to be considered in the development of disassembly automation, including the mechanical system, vision system and intelligent planner.
Автор: Nikolakopoulos Название: Introduction To Industrial Automation ISBN: 1498705405 ISBN-13(EAN): 9781498705400 Издательство: Taylor&Francis Рейтинг: Цена: 12989.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an extended overview and fundamental knowledge in industrial automation, while building the necessary knowledge level for further specialization in advanced concepts of industrial automation.
Автор: Gereon Meyer; Sven Beiker Название: Road Vehicle Automation 2 ISBN: 3319190776 ISBN-13(EAN): 9783319190778 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This paper collection is the second volume of the LNMOB series on Road Vehicle Automation. It originates from the Automated Vehicle Symposium 2014, which was jointly organized by the Association for Unmanned Vehicle Systems International (AUVSI) and the Transportation Research Board (TRB) in Burlingame, CA, in July 2014.
Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op Название: Intelligent Systems in Cybernetics and Automation Theory ISBN: 3319185020 ISBN-13(EAN): 9783319185026 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Extraction of referential Heading-Entries in Recognized Table of Contents Pages.- Correlation Coefficient Analysis of Centrality Metrics for Complex Network Graphs.-Models Adaptation of Complex Technicalorganizational Systems Structure-Dynamics Control.- Electronic Computing Equipment Schemes Elements Placement Based on Hybrid Intelligence Approach.- Trends in the Sensor Development.- Stability Analysis for Families of SphericalPolynomials.- Algebraic Methods in Autotuning Design: Theory and Design.- Algebraic methods in Autotuning Design: Implementation and Simulations.- Extension of the PPSA to Neutral TDS: A Case Study.- Web Application for LTI Systems Analysis.- Predictive Control of Systems with Fast Dynamics UsingComputational Reduction Based on Feedback Control Information.- The Methods of Testing and Possibility to overcome the Protection against Sabotage of Analog Intrusion Alarm Systems.-Universal System Developed for Usage in Analog Intrusion Alarm Systems.- Embedded Supervisory Control And Output Reporting for the Oscillating Ultrasonic Temperature Sensors.- Impact of Base Station Location on Wireless Sensor Networks.- A New Implementation of High Resolution Video Encoding Using the HEVC Standard.- A Virtual Simulation of the Image Based Self-Navigation of Mobile Robots.- Implementation and Optimization Of Stereo Matching Algorithm on ARM Processors.- Heuristic Algorithms for Control of the Assembly Line.- Service Based Access to Matlab Engine.- FRel: A Freshness Language Model for Optimizing Realtime Web Search.- Simulation of the Video Feedback for Mobile Robots in Simbad Environment.- EgoTR: Personalized Tweets Recommendation Approach.- Simulation of Hybrid Fuzzy Adaptive Control of Pneumatic Muscle Actuator.- Case Study of Learning Entropy for Adaptive Novelty Detection in Solid-fuel Combustion Control.- One Approach to Adaptive Control of a Nonlinear Distributed Parameters Process.- Laboratory Systems Control With Adaptively Tuned Higher Order Neural Units.- Using Simulink in Simulation of Dynamic Behaviour of Nonlinear Process.- Optimization of Access Points in Wireless Sensor Network.- An Approach Towards Security.
Автор: Roman Szewczyk; Cezary Zieli?ski; Ma?gorzata Kalic Название: Progress in Automation, Robotics and Measuring Techniques ISBN: 3319158465 ISBN-13(EAN): 9783319158464 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent progresses in control, automation, robotics and measuring techniques. The particular chapters present a deep analysis of a specific technical problem which is in general followed by a numerical analysis and simulation and results of an implementation for the solution of a real world problem.
Автор: Y. Jaganmohan Reddy Название: Industrial Process Automation Systems, ISBN: 012800939X ISBN-13(EAN): 9780128009390 Издательство: Elsevier Science Рейтинг: Цена: 15662.00 р. Наличие на складе: Поставка под заказ.
Описание: Provides a clear guide to the practicalities of modern industrial automation systems. Bridging the gap between the theory taught at university and the technician level coverage of some practical books, this book offers a pragmatic approach to the subject based on industrial experience, taking in the technologies and professional practices.
Описание: The proceedings present selected research papers from the CIAC2019, held in Jiangsu, China on September 20-22, 2019. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT and machine learning.
Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao Название: Dynamic Fuzzy Machine Learning ISBN: 3110518708 ISBN-13(EAN): 9783110518702 Издательство: Walter de Gruyter Рейтинг: Цена: 22439.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
Описание: This practical guide shows network engineers how to use a range of technologies and tools-including Linux, Python, JSON, and XML-to automate their systems through code.
Автор: Joaquim Filipe; Oleg Gusikhin; Kurosh Madani; Jure Название: Informatics in Control, Automation and Robotics ISBN: 3319264516 ISBN-13(EAN): 9783319264516 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book includes a set of selected extended papers from the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014), held in Vienna, Austria, from 1 to 3 September 2014.
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