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000923883 019__ $$a1129145283$$a1129208436$$a1129460167
000923883 020__ $$a9783030325794$$q(electronic book)
000923883 020__ $$a3030325792$$q(electronic book)
000923883 020__ $$z9783030325787
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000923883 0247_ $$a10.1007/978-3-030-32579-4$$2doi
000923883 0247_ $$a10.1007/978-3-030-32
000923883 035__ $$aSP(OCoLC)on1131817734
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000923883 049__ $$aISEA
000923883 050_4 $$aTJ213$$b.C93 2020eb
000923883 08204 $$a629.8$$223
000923883 24500 $$aCyber-physical systems :$$badvances in design & modelling /$$cAlla G. Kravets, Alexander A. Bolshakov, Maxim V. Shcherbakov, editors.
000923883 264_1 $$aCham :$$bSpringer,$$c[2020]
000923883 264_4 $$c©2020
000923883 300__ $$a1 online resource :$$billustrations.
000923883 336__ $$atext$$btxt$$2rdacontent
000923883 337__ $$acomputer$$bc$$2rdamedia
000923883 338__ $$aonline resource$$bcr$$2rdacarrier
000923883 4901_ $$aStudies in systems, decision and control,$$x2198-4182 ;$$vvolume 259
000923883 5050_ $$aCyber-Physical Systems Design -- Flow analysis and its applications for equipment design -- Cyber-physical control system of hardware-software complex of anthropomorphous robot: Architecture and models -- Method of the exoskeleton assembly synthesis on the base of anthropometric characteristics analysis -- Using special text points in the recognition of documents -- Software for extraction of Cyber-Physical system inventions' structural elements from Russian patents -- Conceptual Approach to Designing Efficient Cyber-Physical Systems in The Presence of Uncertainty -- About preparation of the analytical platform for creation of a cyber-physical system of industrial mixture of loose components -- Development of an automated system for monitoring and diagnostics a guided robotic vehicle -- About formation of elements of a cyber-physical system for efficient throttling of fluid in an axial valve -- A Study of a trajectory synthesis method for a cyclic changeable target in an environment with periodic dynamics of properties -- Cyber-Physical Systems Modeling -- Intellectualization methods of population algorithms of global optimization -- Development of models and algorithms for intellectual support of life cycle of chemical production equipment -- Simulation of the Multialternativity Attribute in the Processes of Adaptive Evolution -- Regularization Methods for the Stable Identification of Probabilistic Characteristics of Stochastic Structures -- Outlier Detection in Predictive Analytics for Energy Equipment -- Ontology-based model of user activity data for cyber-physical systems -- Selection of components of a composite material under fuzzy information conditions -- Big Data Analysis in Film Production -- Algorithm for calculating the reliability of chemical-engineering systems using the logical-and-probabilistic method in MATLAB -- Cyber-Physical Systems And Digital Twins -- Assessment of the State of Production System Components for Digital Twins Technology -- Proact ive and predictive maintenance of cyber-physical systems -- Conceptual Approach to Building a Digital Twin of the Production System -- Deep Neural Networks application in models with complex technological objects -- Intelligent Technologies in the Diagnostics using Objects Visual Images -- Modeling cyber-physical system object in state space (on the example of paver) -- Accelerometer Data-Based Cyber-Physical System For Training Intensity Estimation -- Assembly and service robotic space module. Mathematical model of the reduced system.
000923883 506__ $$aAccess limited to authorized users.
000923883 520__ $$aThis book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and masters students interested in the research and applications of cyber-physical systems in different domains.
000923883 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 18, 2019).
000923883 650_0 $$aCooperating objects (Computer systems)
000923883 7001_ $$aKravets, Alla,$$eeditor.
000923883 7001_ $$aBolshakov, Alexander A.,$$eeditor.
000923883 7001_ $$aShcherbakov, Maxim V.,$$eeditor.
000923883 77608 $$iPrint version: $$z3030325784$$z9783030325787$$w(OCoLC)1117532918
000923883 830_0 $$aStudies in systems, decision and control ;$$vv. 259.
000923883 852__ $$bebk
000923883 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-32579-4$$zOnline Access$$91397441.1
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000923883 980__ $$aEBOOK
000923883 980__ $$aBIB
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000923883 983__ $$aOnline
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