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This book offers ideas to help improve digital technologies and
increase their efficiency during implementation and application for
researchers and practitioners. The outstanding position of the book
among others is that it dwells with cyber-physical systems'
progress and proposes ideas and finding around digital tools and
technologies and their application. A distinguished contribution is
in presenting results on Digital Twins development and application,
enhancing approaches of communication and information transferring
between cyber-physical systems connected within the Internet of
things platforms, computer linguistic as a part of cyber-physical
systems, intelligent cybersecurity and computer vision systems. The
target audience of this book also includes practitioners and
experts, as well as state authorities and representatives of
manufacturing and industry who are interested in creating and
implementing of cyber-physical systems in framework of
digitalization projects.
This book highlights original approaches of modelling and
intelligent control of cyber-physical systems covering both
theoretical and practical aspects. The novel contribution of the
book covers the transformation of scientific research and their
results into applications for cyber-physical systems design and
operation during the whole life cycle in different domains. Given
its scope, the book offers an excellent reference book for
researchers and other readers in the fields of cyber-physical
systems modelling and intelligent control, space exploration and
practical implementation of cyber-physical systems. The book also
benefits researchers and practitioners in artificial intelligence
and machine learning, as described results can be applied in
cyber-physical systems design and cost-effectively maintenance. The
target audience of this book also includes practitioners and
experts, as well as state authorities and representatives of
international organizations interested in creating mechanisms for
implementing Cyber-Physical Systems projects.
This book consists of chapters dedicated to the questions of
cyber-physical system design and its usage for the chemical
industry and new material design. Also, the contribution of the
book covers scientific research and their results for
cyber-physical systems design and application in the energy domain
and solutions regarding engineering education for cyber-physical
systems design. The book offers unique content for researchers and
practitioners who are looking for new knowledge and skills in the
framework of Industry 4.0 solutions. The book also benefits
researchers and practitioners in chemistry and new material design
and manufacturing to understand how cyber-physical systems can be
applied to increase efficiency and performance. The target audience
of the book are practitioners, enterprises representatives,
scientists, Ph.D. and master students who perform scientific
research or applications of cyber-physical systems in the concept
of Industry 4.0.
This book includes new findings on socio-economic cyber systems
control and development approaches based on AI and data-driven
techniques. The authors determine key social challenges and the
main features of management and modeling processes. To enhance the
efficiency of the socio-economic process, new approaches were
suggested as well as its components based on the concept of Society
5.0. In this book, the authors substantiate the scientific,
practical, and methodological approaches to the smart technologies'
development. The core is a human-centered concept of cyber systems
as well as the intelligent paradigm. Approaches combined both
mathematical models and data processing techniques are also
proposed as advanced methods for smart system design for ecology
and health care. The implementations of the developed prototypes,
including testing in real domains, which have collected and
analyzed big data and proved their effectiveness, are presented.
The target audience of the book are practitioners, enterprise
representatives, scientists, and Ph.D. and Master students who
perform scientific research or applications of socio-economic cyber
systems in different domains.
This book offers ideas to help improve digital technologies and
increase their efficiency during implementation and application for
researchers and practitioners. The outstanding position of the book
among others is that it dwells with cyber-physical systems'
progress and proposes ideas and finding around digital tools and
technologies and their application. A distinguished contribution is
in presenting results on Digital Twins development and application,
enhancing approaches of communication and information transferring
between cyber-physical systems connected within the Internet of
things platforms, computer linguistic as a part of cyber-physical
systems, intelligent cybersecurity and computer vision systems. The
target audience of this book also includes practitioners and
experts, as well as state authorities and representatives of
manufacturing and industry who are interested in creating and
implementing of cyber-physical systems in framework of
digitalization projects.
This book highlights original approaches of modelling and
intelligent control of cyber-physical systems covering both
theoretical and practical aspects. The novel contribution of the
book covers the transformation of scientific research and their
results into applications for cyber-physical systems design and
operation during the whole life cycle in different domains. Given
its scope, the book offers an excellent reference book for
researchers and other readers in the fields of cyber-physical
systems modelling and intelligent control, space exploration and
practical implementation of cyber-physical systems. The book also
benefits researchers and practitioners in artificial intelligence
and machine learning, as described results can be applied in
cyber-physical systems design and cost-effectively maintenance. The
target audience of this book also includes practitioners and
experts, as well as state authorities and representatives of
international organizations interested in creating mechanisms for
implementing Cyber-Physical Systems projects.
This book consists of chapters dedicated to the questions of
cyber-physical system design and its usage for the chemical
industry and new material design. Also, the contribution of the
book covers scientific research and their results for
cyber-physical systems design and application in the energy domain
and solutions regarding engineering education for cyber-physical
systems design. The book offers unique content for researchers and
practitioners who are looking for new knowledge and skills in the
framework of Industry 4.0 solutions. The book also benefits
researchers and practitioners in chemistry and new material design
and manufacturing to understand how cyber-physical systems can be
applied to increase efficiency and performance. The target audience
of the book are practitioners, enterprises representatives,
scientists, Ph.D. and master students who perform scientific
research or applications of cyber-physical systems in the concept
of Industry 4.0.
This book focuses on open issues of new intelligent control
paradigms and their usage. Industry 4.0 requires new approaches in
the context of secure connection, control, and maintenance of
robotic systems, as well as enhancing their interaction with
humans. The book presents recent advances in industrial robotics,
and robotic design and modeling for various domains, and discusses
the methodological foundations of the collaborative robotics
concept as a breakthrough in modern industrial technologies. It
also describes the implementation of multi-agent models, programs
and methods that could be used in future processes for control,
condition assessment, diagnostics, prognostication, and proactive
maintenance. Further, the book addresses the issue of ensuring the
space robotics systems and proposes reliable novel solutions. 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. The book is intended for practitioners and enterprise
representatives, as well as scientists and Ph.D. and Master's
students pursuing research in the area of cyber-physical system
development and implementation in various domains.
This book includes new findings on socio-economic cyber systems
control and development approaches based on AI and data-driven
techniques. The authors determine key social challenges and the
main features of management and modeling processes. To enhance the
efficiency of the socio-economic process, new approaches were
suggested as well as its components based on the concept of Society
5.0. In this book, the authors substantiate the scientific,
practical, and methodological approaches to the smart technologies'
development. The core is a human-centered concept of cyber systems
as well as the intelligent paradigm. Approaches combined both
mathematical models and data processing techniques are also
proposed as advanced methods for smart system design for ecology
and health care. The implementations of the developed prototypes,
including testing in real domains, which have collected and
analyzed big data and proved their effectiveness, are presented.
The target audience of the book are practitioners, enterprise
representatives, scientists, and Ph.D. and Master students who
perform scientific research or applications of socio-economic cyber
systems in different domains.
This book presents new findings in industrial cyber-physical system
design and control for various domains, as well as their social and
economic impacts on society. Industry 4.0 requires new approaches
in the context of secure connections, control, and maintenance of
cyber-physical systems as well as enhancing their interaction with
humans. The book focuses on open issues of cyber-physical system
control and its usage, discussing implemented breakthrough systems,
models, programs, and methods that could be used in industrial
processes for the control, condition assessment, diagnostics,
prognostication, and proactive maintenance of cyber-physical
systems. Further, it addresses the topic of ensuring the
cybersecurity of industrial cyber-physical systems and proposes
new, reliable solutions. The authors also examine the impact of
university courses on the performance of industrial complexes, and
the organization of education for the development of cyber-physical
systems. The book is intended for practitioners, enterprise
representatives, scientists, students, and Ph.D. and master's
students conducting research in the area of cyber-physical system
development and implementation in various domains.
This book focuses on open issues of new intelligent control
paradigms and their usage. Industry 4.0 requires new approaches in
the context of secure connection, control, and maintenance of
robotic systems, as well as enhancing their interaction with
humans. The book presents recent advances in industrial robotics,
and robotic design and modeling for various domains, and discusses
the methodological foundations of the collaborative robotics
concept as a breakthrough in modern industrial technologies. It
also describes the implementation of multi-agent models, programs
and methods that could be used in future processes for control,
condition assessment, diagnostics, prognostication, and proactive
maintenance. Further, the book addresses the issue of ensuring the
space robotics systems and proposes reliable novel solutions. 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. The book is intended for practitioners and enterprise
representatives, as well as scientists and Ph.D. and Master's
students pursuing research in the area of cyber-physical system
development and implementation in various domains.
This 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 master's students interested in the research and
applications of cyber-physical systems in different domains.
This book presents new findings in industrial cyber-physical system
design and control for various domains, as well as their social and
economic impacts on society. Industry 4.0 requires new approaches
in the context of secure connections, control, and maintenance of
cyber-physical systems as well as enhancing their interaction with
humans. The book focuses on open issues of cyber-physical system
control and its usage, discussing implemented breakthrough systems,
models, programs, and methods that could be used in industrial
processes for the control, condition assessment, diagnostics,
prognostication, and proactive maintenance of cyber-physical
systems. Further, it addresses the topic of ensuring the
cybersecurity of industrial cyber-physical systems and proposes
new, reliable solutions. The authors also examine the impact of
university courses on the performance of industrial complexes, and
the organization of education for the development of cyber-physical
systems. The book is intended for practitioners, enterprise
representatives, scientists, students, and Ph.D. and master's
students conducting research in the area of cyber-physical system
development and implementation in various domains.
This book examines the methodological foundations of the Big
Data-driven world, formulates its concept within the frameworks of
modern control methods and theories, and approaches the
peculiarities of Control Technologies as a specific sphere of the
Big Data-driven world, distinguished in the modern Digital Economy.
The book studies the genesis of mathematical and information
methods' transition from data analysis & processing to
knowledge discovery and predictive analytics in the 21st century.
In addition, it analyzes the conditions of development and
implementation of Big Data analysis approaches in investigative
activities and determines the role and meaning of global networks
as platforms for the establishment of legislation and regulations
in the Big Data-driven world. The book examines that world through
the prism of Legislation Issues, substantiate the scientific and
methodological approaches to studying modern mechanisms of
terrorism and extremism counteraction in the conditions of new
challenges of dissemination and accessibility of socially dangerous
information. Systematization of successful experience of the Big
Data solutions implementation in the different countries and
analyze causal connections of the Digital Economy formation from
the positions of new technological challenges is performed. The
book's target audience includes scientists, students, PhD and
Master students who conduct scientific research on the topic of Big
Data not only in the field of IT& data science, but also in
connection with legislative regulation aspects of the modern
information society. It also includes practitioners and experts, as
well as state authorities and representatives of international
organizations interested in creating mechanisms for implementing
Digital Economy projects in the Big Data-driven world.
This book discusses the open questions regarding the modelling of
cyber-physical systems and their application in different
industries. The industry needs new approaches to improve its
competitiveness. The concept of cyber-physical systems supports
such changes, with the need to find new modelling tools becoming a
key challenge. The book contains five-section covering the
following topics: cyber-physical systems modelling, IoT and signal
processing, cyber-physical systems intelligent control,
cyber-physical systems industrial implementation and the production
of the new material for cyber-physical systems. These approaches,
on the one hand, should ensure the execution of current business
processes, and on the other hand, ensure a quick speed of reactions
to changes. The target audience of the book are practitioners,
enterprises representatives, scientists, PhD and Master students
who perform scientific research on modelling and industrial
application of cyber-physical systems.
This 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 master's students interested in the research and
applications of cyber-physical systems in different domains.
This book is devoted to intelligent models and algorithms as the
core components of cyber-physical systems. The complexity of
cyber-physical systems developing and deploying requires new
approaches to its modelling and design. Presents results in the
field of modelling technologies that leverage the exploitation of
artificial intelligence, including artificial general intelligence
(AGI) and weak artificial intelligence. Provides scientific,
practical, and methodological approaches based on bio-inspired
methods, fuzzy models and algorithms, predictive modelling,
computer vision and image processing. The target audience of the
book are practitioners, enterprises representatives, scientists,
PhD and Master students who perform scientific research or
applications of intelligent models and algorithms in cyber-physical
systems for various domains.
This book is devoted to the study of engineering and control
technologies for the cyber-physical systems development. This book
defines the approaches in the engineering leverage the exploitation
of artificial intelligence and most urgent computing methods. The
authors study the activities allows for the developing new and
perspective concepts of robotics systems combining various machine
learning methods, uncertainty explanation approaches, computer
vision and unmanned aerial systems control technologies including
artificial neural networks and simulation modeling by addressing a
large scale of applications. The book also describes new materials
engineering as well as implementation of these technologies in the
different domains such as polymeric film production, polymer
composition, and roller squeezing of leather, in order to realize
the novel cyber-physical systems, their functionalities, and
features. The authors describe the development of method for
increasing the software efficiency, considering the increasing
complexity of the computing systems and the importance of ensuring
accuracy and velocity of modelling. The book also analyses
algorithms for fuzzy models and systems, including the
cyber-physical real-time systems, and non-stationary object with
discrete time. The authors highlight the problem of ensuring the
quality on engineering technologies for cyber-physical systems as
the most important and consider different approaches to its
solution.
This book discusses the open questions regarding the modelling of
cyber-physical systems and their application in different
industries. The industry needs new approaches to improve its
competitiveness. The concept of cyber-physical systems supports
such changes, with the need to find new modelling tools becoming a
key challenge. The book contains five-section covering the
following topics: cyber-physical systems modelling, IoT and signal
processing, cyber-physical systems intelligent control,
cyber-physical systems industrial implementation and the production
of the new material for cyber-physical systems. These approaches,
on the one hand, should ensure the execution of current business
processes, and on the other hand, ensure a quick speed of reactions
to changes. The target audience of the book are practitioners,
enterprises representatives, scientists, PhD and Master students
who perform scientific research on modelling and industrial
application of cyber-physical systems.
This book is devoted to intelligent models and algorithms as the
core components of cyber-physical systems. The complexity of
cyber-physical systems developing and deploying requires new
approaches to its modelling and design. Presents results in the
field of modelling technologies that leverage the exploitation of
artificial intelligence, including artificial general intelligence
(AGI) and weak artificial intelligence. Provides scientific,
practical, and methodological approaches based on bio-inspired
methods, fuzzy models and algorithms, predictive modelling,
computer vision and image processing. The target audience of the
book are practitioners, enterprises representatives, scientists,
PhD and Master students who perform scientific research or
applications of intelligent models and algorithms in cyber-physical
systems for various domains.
This book focuses on open issues of Society 5.0, a new paradigm of
a society that balances a human-centred approach and technologies
based on cyber-physical systems and artificial intelligence. The
book contains results of how intelligent or cyber-physical systems
help to improve the quality of life in society despite new
challenges. Discusses implemented breakthrough systems, models,
programs, and methods that cover the following topics: biomedicine
and healthcare, innovations in socio-economic systems, intelligent
energetics, advances in transport systems, human-centric
technologies. These approaches help to improve human society using
cyber-physical systems in a dramatically changing environment. The
target audience of the book are practitioners, enterprises
representatives, scientists, PhD and Master students who perform
scientific research on the application of cyber-physical systems
towards Society 5.0.
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Creativity in Intelligent Technologies and Data Science - 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021, Proceedings (Paperback, 1st ed. 2021)
Alla G. Kravets, Maxim Shcherbakov, Danila Parygin, Peter P. Groumpos
|
R1,667
Discovery Miles 16 670
|
Ships in 10 - 15 working days
|
This book constitutes the proceedings of the 4th Conference on
Creativity in Intellectual Technologies and Data Science,
CIT&DS 2021, held in Volgograd, Russia, in September 2021.The
39 full papers, 7 short papers, and 2 keynote papers presented were
carefully reviewed and selected from 182 submissions. The papers
are organized in the following topical sections: Artificial
intelligence and deep learning technologies: knowledge discovery in
patent and open sources; open science semantic technologies; IoT
and computer vision in knowledge-based control; Cyber-physical
systems and big data-driven control: pro-active modeling in
intelligent decision making support; design creativity in
CASE/CAI/CAD/PDM; intelligent technologies in urban design and
computing; Intelligent technologies in social engineering: data
science in social networks analysis and cyber security; educational
creativity and game-based learning; intelligent assistive
technologies: software design and application.
This book examines the methodological foundations of the Big
Data-driven world, formulates its concept within the frameworks of
modern control methods and theories, and approaches the
peculiarities of Control Technologies as a specific sphere of the
Big Data-driven world, distinguished in the modern Digital Economy.
The book studies the genesis of mathematical and information
methods' transition from data analysis & processing to
knowledge discovery and predictive analytics in the 21st century.
In addition, it analyzes the conditions of development and
implementation of Big Data analysis approaches in investigative
activities and determines the role and meaning of global networks
as platforms for the establishment of legislation and regulations
in the Big Data-driven world. The book examines that world through
the prism of Legislation Issues, substantiate the scientific and
methodological approaches to studying modern mechanisms of
terrorism and extremism counteraction in the conditions of new
challenges of dissemination and accessibility of socially dangerous
information. Systematization of successful experience of the Big
Data solutions implementation in the different countries and
analyze causal connections of the Digital Economy formation from
the positions of new technological challenges is performed. The
book's target audience includes scientists, students, PhD and
Master students who conduct scientific research on the topic of Big
Data not only in the field of IT& data science, but also in
connection with legislative regulation aspects of the modern
information society. It also includes practitioners and experts, as
well as state authorities and representatives of international
organizations interested in creating mechanisms for implementing
Digital Economy projects in the Big Data-driven world.
|
Creativity in Intelligent Technologies and Data Science - Third Conference, CIT&DS 2019, Volgograd, Russia, September 16-19, 2019, Proceedings, Part II (Paperback, 1st ed. 2019)
Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova
|
R1,624
Discovery Miles 16 240
|
Ships in 10 - 15 working days
|
This two-volume set constitutes the proceedings of the Third
Conference on Creativity in Intellectual Technologies and Data
Science, CIT&DS 2019, held in Volgograd, Russia, in September
2019.The 67 full papers, 1 short paper and 3 keynote papers
presented were carefully reviewed and selected from 231
submissions. The papers are organized in topical sections in the
two volumes. Part I: cyber-physical systems and Big Data-driven
world. Part II: artificial intelligence and deep learning
technologies for creative tasks; intelligent technologies in social
engineering.
|
Creativity in Intelligent Technologies and Data Science - Third Conference, CIT&DS 2019, Volgograd, Russia, September 16-19, 2019, Proceedings, Part I (Paperback, 1st ed. 2019)
Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova
|
R1,608
Discovery Miles 16 080
|
Ships in 10 - 15 working days
|
This two-volume set constitutes the proceedings of the Third
Conference on Creativity in Intellectual Technologies and Data
Science, CIT&DS 2019, held in Volgograd, Russia, in September
2019.The 67 full papers, 1 short paper and 3 keynote papers
presented were carefully reviewed and selected from 231
submissions. The papers are organized in topical sections in the
two volumes. Part I: cyber-physical systems and Big Data-driven
world. Part II: artificial intelligence and deep learning
technologies for creative tasks; intelligent technologies in social
engineering.
|
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