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: 34937.00 р. 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.
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: Pablo Cano Marchal; Juan G?mez Ortega; Javier G?me Название: Production Planning, Modeling and Control of Food Industry Processes ISBN: 3030013723 ISBN-13(EAN): 9783030013721 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a new approach to the control of food transformation processes, emphasizing the advantage of considering the system as a multivariable one, and taking a holistic approach to the decision-making process in the plant, considering not only the technical but also the economic implications of these decisions. In addition, it presents a hierarchical structure for the global control of the plant, and includes appropriate techniques for each of the control layers.The book addresses the challenges of modeling food transformation processes, using both traditional system-identification techniques and, where these prove impractical, models based on expert knowledge and using fuzzy systems. The construction of optimal controllers for each of these types of models is also discussed, as a means to close a feedback loop on the higher-level outputs of the process.Finally, the problem of production planning is covered from two standpoints: the traditional batch-sizing problem, and the planning of production throughout the season. Systematic season-wide production planning is built upon the models constructed for the control of the plant, and incorporates market- and business-specific information. Examples based on the processing of various foodstuffs help to illustrate the text throughout, while the book’s closing chapter presents a case study on advances in the processing of olive oil.Given its scope, the book will primarily be of interest to two groups of readers: food engineering practitioners and students, who are familiar with the characteristics of food processes but have little or no background in control engineering; and control engineering researchers, students and practitioners, whose situation is just the opposite, and who wish to learn more about food engineering and its specific challenges for control.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Описание: The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges.
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: 63766.00 р. 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 2 ISBN: 1668433435 ISBN-13(EAN): 9781668433430 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 63766.00 р. 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 3 ISBN: 1668433443 ISBN-13(EAN): 9781668433447 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 63766.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive resource on the emerging designs and application of automation. This collection features a number of authors spanning multiple disciplines such as home automation, healthcare automation, government automation, and more, covering topics such as human-machine interaction, trust calibration, and sensors.
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?
