Author: Gao Jinji
Publisher: Springer Nature
ISBN: 9811945144
Category : Technology & Engineering
Languages : en
Pages : 427
Book Description
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health.
Artificial Self-recovery and Autonomous Health of Machine
Author: Gao Jinji
Publisher: Springer Nature
ISBN: 9811945144
Category : Technology & Engineering
Languages : en
Pages : 427
Book Description
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health.
Publisher: Springer Nature
ISBN: 9811945144
Category : Technology & Engineering
Languages : en
Pages : 427
Book Description
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health.
Artificial Self-recovery and Autonomous Health of Machine
Author: Gao Jinji
Publisher:
ISBN: 9789811945151
Category :
Languages : en
Pages : 0
Book Description
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health. .
Publisher:
ISBN: 9789811945151
Category :
Languages : en
Pages : 0
Book Description
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health. .
Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Artificial Intelligence for Autonomous Networks
Author: Mazin Gilbert
Publisher: CRC Press
ISBN: 1351130145
Category : Computers
Languages : en
Pages : 498
Book Description
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Publisher: CRC Press
ISBN: 1351130145
Category : Computers
Languages : en
Pages : 498
Book Description
Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Computer-aided Maintenance
Author: Jay Lee
Publisher: Springer Science & Business Media
ISBN: 1461553059
Category : Technology & Engineering
Languages : en
Pages : 421
Book Description
In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.
Publisher: Springer Science & Business Media
ISBN: 1461553059
Category : Technology & Engineering
Languages : en
Pages : 421
Book Description
In today's business environment, reliability and maintenance drastically affect the three key elements of competitiveness - quality, cost, and product lead time. Well-maintained machines hold tolerances better, help reduce scrap and rework, and raise consistency and quality of the part in addition to cutting total production costs. Today, many factories are still performing maintenance on equipment in a reactive manner due to a lack of understanding about machine performance behaviour. To improve production efficiency, computer-aided maintenance and diagnostic methodology must be applied effectively in manufacturing. This book focuses on the fundamental principles of predictive maintenance and diagnostic engineering. In addition to covering the relevant theory, techniques and methodologies in maintenance engineering, the book also provides numerous case studies and examples illustrating the successful application of the principles and techniques outlined.
Autonomous Horizons
Author: Greg Zacharias
Publisher: Independently Published
ISBN: 9781092834346
Category :
Languages : en
Pages : 420
Book Description
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
Publisher: Independently Published
ISBN: 9781092834346
Category :
Languages : en
Pages : 420
Book Description
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
Artificial Intelligence and Machine Learning for Business for Non-Engineers
Author: Stephan S. Jones
Publisher: CRC Press
ISBN: 1000733653
Category : Computers
Languages : en
Pages : 165
Book Description
The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.
Publisher: CRC Press
ISBN: 1000733653
Category : Computers
Languages : en
Pages : 165
Book Description
The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.
DevOps for Databases
Author: David Jambor
Publisher: Packt Publishing Ltd
ISBN: 183763789X
Category : Computers
Languages : en
Pages : 446
Book Description
Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.
Publisher: Packt Publishing Ltd
ISBN: 183763789X
Category : Computers
Languages : en
Pages : 446
Book Description
Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You’ll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You’ll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code. By the end of this book, you’ll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.
Handbook of Bioinspired Algorithms and Applications
Author: Stephan Olariu
Publisher: CRC Press
ISBN: 1420035061
Category : Computers
Languages : en
Pages : 684
Book Description
The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the
Publisher: CRC Press
ISBN: 1420035061
Category : Computers
Languages : en
Pages : 684
Book Description
The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the
Reliability Engineering and Failure Analysis for Electromechanical Systems
Author: AKSHAY GAIKWAD DR. SHAKEB KHAN
Publisher: DeepMisti Publication
ISBN: 9360444626
Category : Computers
Languages : en
Pages : 168
Book Description
In the evolving landscape of electromechanical systems, ensuring reliability and minimizing failure rates are critical to maintaining optimal performance and operational efficiency. This book, Reliability Engineering and Failure Analysis for Electromechanical Systems, is designed to address the complexities of system reliability, offering both theoretical insights and practical guidance for understanding and mitigating failure modes in electromechanical systems. Our goal is to provide readers with the knowledge and tools necessary to enhance the performance, safety, and durability of these systems across a range of industries. This book presents a comprehensive exploration of the methodologies, techniques, and best practices employed in the reliability engineering and failure analysis of electromechanical systems. From fundamental concepts to advanced techniques, we examine the critical strategies for ensuring the reliability of these systems, with a focus on the analysis and prevention of failures. The content is crafted to be accessible and valuable to a diverse audience, including students, engineers, system designers, and industry professionals involved in the development, maintenance, and optimization of electromechanical systems. In crafting this book, we have drawn upon the latest research, case studies, and industry standards to provide readers with both a solid theoretical foundation and actionable insights for addressing reliability challenges. The chapters are structured to offer a balance of depth and practical application, covering topics such as failure modes and effects analysis (FMEA), root cause analysis, reliability modeling, and predictive maintenance strategies. Additionally, we dedicate sections to the importance of failure prevention, focusing on the integration of reliability engineering into the design process, as well as approaches to risk management and performance enhancement. The inspiration for this book arises from the vital role that network health plays in the stability and scalability of cloud platforms. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book serves as a comprehensive and practical resource for those seeking to deepen their understanding of reliability engineering and failure analysis in electromechanical systems. We believe that the insights shared in these pages will empower readers to innovate and implement solutions that enhance the resilience and longevity of electromechanical systems in today’s demanding environments. Thank you for joining us on this journey toward greater system reliability and performance. Authors
Publisher: DeepMisti Publication
ISBN: 9360444626
Category : Computers
Languages : en
Pages : 168
Book Description
In the evolving landscape of electromechanical systems, ensuring reliability and minimizing failure rates are critical to maintaining optimal performance and operational efficiency. This book, Reliability Engineering and Failure Analysis for Electromechanical Systems, is designed to address the complexities of system reliability, offering both theoretical insights and practical guidance for understanding and mitigating failure modes in electromechanical systems. Our goal is to provide readers with the knowledge and tools necessary to enhance the performance, safety, and durability of these systems across a range of industries. This book presents a comprehensive exploration of the methodologies, techniques, and best practices employed in the reliability engineering and failure analysis of electromechanical systems. From fundamental concepts to advanced techniques, we examine the critical strategies for ensuring the reliability of these systems, with a focus on the analysis and prevention of failures. The content is crafted to be accessible and valuable to a diverse audience, including students, engineers, system designers, and industry professionals involved in the development, maintenance, and optimization of electromechanical systems. In crafting this book, we have drawn upon the latest research, case studies, and industry standards to provide readers with both a solid theoretical foundation and actionable insights for addressing reliability challenges. The chapters are structured to offer a balance of depth and practical application, covering topics such as failure modes and effects analysis (FMEA), root cause analysis, reliability modeling, and predictive maintenance strategies. Additionally, we dedicate sections to the importance of failure prevention, focusing on the integration of reliability engineering into the design process, as well as approaches to risk management and performance enhancement. The inspiration for this book arises from the vital role that network health plays in the stability and scalability of cloud platforms. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book serves as a comprehensive and practical resource for those seeking to deepen their understanding of reliability engineering and failure analysis in electromechanical systems. We believe that the insights shared in these pages will empower readers to innovate and implement solutions that enhance the resilience and longevity of electromechanical systems in today’s demanding environments. Thank you for joining us on this journey toward greater system reliability and performance. Authors