Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 2, Management Association Information R.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 3 ISBN: 1668433443 ISBN-13(EAN): 9781668433447 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Galar Pascual, Diego (lulea University Of Technology, Sweden) Daponte, Pasquale (department Of Engineering, University Of Sannio - Benevento, Italy) K Название: Handbook of industry 4.0 and smart systems ISBN: 1138316296 ISBN-13(EAN): 9781138316294 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Невозможна поставка. Описание: Industry 4.0 refers to a fourth generation of industrial activity characterized by smart systems and Internet-based solutions. This book describes concept based on instrumented, interconnected and intelligent assets with different chapters on technologies and methodologies developed and deployed leading to this concept.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 4 ISBN: 1668433451 ISBN-13(EAN): 9781668433454 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 1 ISBN: 1668433427 ISBN-13(EAN): 9781668433423 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Novel strategies for data-driven evolutionary optimization
Machine learning using distance-based methods
Counting cells and predicting immunoscore using gradient boosted convolutional neural networks
Kubelka-Munk model and stochastic model comparison in skin physical parameter retrieval using neural networks
A combined approach of neural networks and graphical models in skin cancer inference using spectral imaging
Using wave propagation simulations and convolutional neural networks to retrieve thin coating's thickness from hyperspectral images
Predicting future overweight and obesity from childhood growth data: A case study
Variable selection under a value acquisition budget
Stochastic approximation by successive piecewise linearization
Non-convex robust low-rank matrix recovery
Neural network learning via successive piecewise linearization
Learning for scientific computing purposes
Computational intelligence in design of new nanomaterials
Modeling flow, reactive transport and geomechanics in porous media
Physics constrained machine learning for industrial applications
Parameter and type identification in partial differential equations using deep neural networks
Stability maximization for layered moving web with total mass constraint
Similarity solutions for condensation on a non-isothermal vertical plate
Enhanced topology optimization approach using moving morphable components coupled with NURBS curves
Combined model order reduction and artificial neural network for data assimilation and damage detection in structures
Towards the optimization of fuzzy pattern trees by abs - linearization
Support vector machines in clusterwise linear regression
A Second-order method with enriched hessian information for composite sparse optimization problems
Missing value imputation via nonsmooth optimization and clusterwise linear regression
Parsimonious neural networks
Nobody can stop advancing artificial intelligence (AI) where developing
Computational sciences, physics field theories and geometry
Mini-symposium on ethics in AI
Essentializing software engineering practices for ethically designing and developing artificial intelligence systems 30 Ethics is important, but how can we implement it? Survey on software developers' views on AI ethics
Industrial IoT capabilities in reducing the LCOE of offshore wind energy: A review
High-Performance data analysis with the Helmholtz Analytics Toolkit (HeAT)
Dynamic data-driven application systems based on tensor factorization: learning the physics of model evolution
Predicting customer experience
Puhti-AI: Finland's new AI supercomputer
Using Artificial Intelligence to Classify Textual Applications for Reporting Purposes Application of machine learning methods to error control of approximate solutions
Iterative data selection strategy in offline data-driven evolutionary multiobjective optimization
On surrogate management in interactive multiobjective building energy system design
A modified deep neural network for the rapid inversion of geo-physical resistivity measurements
Using agents for automatic meta-modelling algorithm selection in data-driven multiobjective optimization problems
Future cooperation between Computational Science and AI in Industrial and Societal Applications - challenges, impact and expectations?
Автор: John Soldatos Название: The Digital Shopfloor ISBN: 8770220417 ISBN-13(EAN): 9788770220415 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T 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: Stjepandic Josip, Wognum Nel, J. C. Verhagen Wim Название: Systems Engineering in Research and Industrial Practice: Foundations, Developments and Challenges ISBN: 3030333140 ISBN-13(EAN): 9783030333140 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction to the Book.- Fundamentals of Systems Engineering - A Practitioner's Approach.- New Challenges for Ideation in the Context of Systems Engineering.- System of Systems Modelling.- Traceability in Engineer-to-Order Businesses.- Decision Analysis and Interface Management in Systems Engineering.- Mechatronic and Cyber-Physical Systems within the Domain of the Internet of Things.- Emergence of Product-Service-Systems.- A Meta-Model for Intelligent Engineering Design of Complex City.- Systematic Development of Product-Service Systems.- Machining Process Engineering.- Technology Nationalization in the Space Sector: The Brazilian Perspective.- Systems Engineering for Sustainable Mobility.- Future Perspectives in Systems Engineering.
Автор: Chakrabarti Amaresh, Arora Manish Название: Industry 4.0 and Advanced Manufacturing: Proceedings of I-4AM 2019 ISBN: 9811556911 ISBN-13(EAN): 9789811556913 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
Автор: Kannan R. Jagadeesh, Geetha S., Sashikumar Sravanthi Название: International Virtual Conference on Industry 4.0: Select Proceedings of Ivci4.0 2020 ISBN: 9811612439 ISBN-13(EAN): 9789811612435 Издательство: Springer Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book discusses a wide range of topics such as the design of smart and intelligent products, developments in recent technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable systems, etc.
Автор: Ab Nasir Ahmad Fakhri, Ibrahim Ahmad Najmuddin, Ishak Ismayuzri Название: Recent Trends in Mechatronics Towards Industry 4.0: Selected Articles from Im3f 2020, Malaysia ISBN: 9813345969 ISBN-13(EAN): 9789813345966 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
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