Kirjojen hintavertailu. Mukana 12 595 353 kirjaa ja 12 kauppaa.

Kirjailija

Yan Yan

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2022-2025, suosituimpien joukossa Architecting A Knowledge-Based Platform for Design Engineering 4.0. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

3 kirjaa

Kirjojen julkaisuhaarukka 2022-2025.

Laryngeal Electromyography

Laryngeal Electromyography

Peiyun Zhuang; Robert T. Sataloff; Thomas L. Carroll; Steven Mandel; Yan Yan

PLURAL PUBLISHING INC
2025
sidottu
With 52 videos and 47 audio files, bringing LEMG concepts and techniques to life!Authored by an esteemed team of international experts, Laryngeal Electromyography: Case Studies is the first-of-its-kind book to present multidisciplinary cases on the clinical application of laryngeal electromyography (LEMG), including key concepts and principles of LEMG interpretation. It discusses diagnostic and therapeutic approaches to treating voice disorders. It also describes electrode placement, signal interpretation, and analysis techniques specific to each of the laryngeal muscles. The book highlights how LEMG is used to diagnose neuromuscular diseases of the intrinsic laryngeal muscles, generalized neurologic disorders, monitor ongoing treatment plans, and determine the effectiveness of interventions. The text includes 21 detailed and illustrated case examples with multimedia, showing how LEMG guides patients and physicians in clinical practice to evaluate a variety of problems, including differentiating vocal fold paralysis from mechanical fixation, laryngeal myopathy, myasthenia gravis, motor neuron disease, and others. It also includes instruction and nuances of laryngeal EMG for intraoperative nerve monitoring and needle guidance during the injection of botulinum toxin.
Architecting A Knowledge-Based Platform for Design Engineering 4.0

Architecting A Knowledge-Based Platform for Design Engineering 4.0

Zhenjun Ming; Anand Balu Nellippallil; Ru Wang; Janet K. Allen; Guoxin Wang; Yan Yan; Farrokh Mistree

Springer Nature Switzerland AG
2023
nidottu
"Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem “that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0."Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., "Design Engineering in the Age of Industry 4.0," ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.
Architecting A Knowledge-Based Platform for Design Engineering 4.0

Architecting A Knowledge-Based Platform for Design Engineering 4.0

Zhenjun Ming; Anand Balu Nellippallil; Ru Wang; Janet K. Allen; Guoxin Wang; Yan Yan; Farrokh Mistree

Springer Nature Switzerland AG
2022
sidottu
"Design Engineering for Industry 4.0 (DE4.0) represents the 'human-cyber-physical view of the systems realization ecosystem “that is necessary to accommodate the drivers of Industry 4.0 (IoX) and provide an open ecosystem for the realization of complex systems. Seamless integration of digital threads and digital twins throughout the product design, the development and fulfillment lifecycle; the ability to accommodate diverse and rapidly changing technologies; and the mechanisms to facilitate the creation of new opportunities for the design of products, processes, services, and systems are some of the desired characteristics of DE4.0."Jiao, R., Commuri, S. Panchal, J., Milisavljevic-Syed, J, Allen, J.K., Mistree, F. and Schaefer, D., "Design Engineering in the Age of Industry 4.0," ASME Journal of Mechanical Design, 143(7), 070801, 25 pages.In keeping with the Design Engineering 4.0 construct the authors describe architecting a computer platform to support human designers make decisions associated with the realization of complex engineered systems. The platform is designed to facilitate end-to-end digital integration, customization and personalization, agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service.Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.This book is a valuable resource for researchers, design engineers, and others working on pushing the boundary of digitized manufacturing to include Design Engineering 4.0 principles in designing products, processes, and services.