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Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1394303580
Category : Computers
Languages : en
Pages : 628
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Book Description
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1394303580
Category : Computers
Languages : en
Pages : 628
Get Book Here
Book Description
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Author: Nagy K. Hanna
Publisher: Springer Science & Business Media
ISBN: 1441915087
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Private enterprises in advanced economies have been learning to use information and communication technology (ICT) to innovate and transform their processes, products, services and business models, significantly improving productivity and competitiveness. Moreover, the ICT industry itself has become a major source of job creation and a contributor to economic growth and business transformation. A key question today is whether and how developing countries can learn to benefit from the ICT revolution, and what roles the government and private sector can play. Already, a number of developing countries have been inspired by the example of India and China, and are now seeking to jump on the outsourcing bandwagon. Nevertheless, with few exceptions in the developing world, little attention has been paid by policymakers and practitioners to invest systematically and proactively in ICT-enabled growth, poverty reduction and grassroots innovation. Most communities and small and medium-sized enterprises in developing countries, for example, face multiple constraints to adopting and leveraging this general purpose technology, and lack the capabilities for maximizing its potential. In "Enabling Enterprise Transformation", Nagy Hanna draws on his rich experience of over 35 years at the World Bank and other aid agencies as a development strategist and ICT policy expert, the most current research, and best practices from around the world to provide practical tools for promoting economic and social transformation through ICT. He assesses various initiatives to develop and diffuse ICT, such as innovation funds, incubators, parks, public-private partnerships, and comprehensive promotion programs. He argues for the strategic options now open for developing countries to participate in ICT production, to deploy ICT to transform industries and services, and to leverage ICT as a new national infrastructure for improving the business environment and enhancing the competitiveness of the whole economy. The challenge for leaders in developing countries is to create such social and institutional dynamics for learning about ICT use and adaptation at many levels. Lessons gained so far from programs to build these social learning and innovation capabilities at the institutional and grassroots levels should be shared among developing countries, and a dialogue among business leaders, policymakers, development agencies, educational institutions, and the general citizenry must be advanced.
Author: Manfred Reichert
Publisher: Springer Science & Business Media
ISBN: 3642304095
Category : Computers
Languages : en
Pages : 517
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Book Description
In today’s dynamic business world, the success of a company increasingly depends on its ability to react to changes in its environment in a quick and flexible way. Companies have therefore identified process agility as a competitive advantage to address business trends like increasing product and service variability or faster time to market, and to ensure business IT alignment. Along this trend, a new generation of information systems has emerged—so-called process-aware information systems (PAIS), like workflow management systems, case handling tools, and service orchestration engines. With this book, Reichert and Weber address these flexibility needs and provide an overview of PAIS with a strong focus on methods and technologies fostering flexibility for all phases of the process lifecycle (i.e., modeling, configuration, execution and evolution). Their presentation is divided into six parts. Part I starts with an introduction of fundamental PAIS concepts and establishes the context of process flexibility in the light of practical scenarios. Part II focuses on flexibility support for pre-specified processes, the currently predominant paradigm in the field of business process management (BPM). Part III details flexibility support for loosely specified processes, which only partially specify the process model at build-time, while decisions regarding the exact specification of certain model parts are deferred to the run-time. Part IV deals with user- and data-driven processes, which aim at a tight integration of processes and data, and hence enable an increased flexibility compared to traditional PAIS. Part V introduces existing technologies and systems for the realization of a flexible PAIS. Finally, Part VI summarizes the main ideas of this book and gives an outlook on advanced flexibility issues. The book’s target groups include researchers, PhD students and Master students in the field of information systems. After reading the book, they will better understand PAIS flexibility aspects. To support the easy use as a textbook, a series of exercises is provided at the end of each chapter and slides and further teaching material are available on the book’s web site www.flexible-processes.com. Professionals specializing in business process management (BPM) who want to obtain a good understanding of flexibility challenges in BPM and state-of-the-art solutions will also benefit from the presentations of open source as well as commercial process management systems and related practical scenarios.
Author: Tanu Wadhera
Publisher: Routledge
ISBN: 100053605X
Category : Medical
Languages : en
Pages : 236
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Book Description
This cutting-edge volume explores how technological tools can be designed, engineered and implemented to assess and support individuals with neurodevelopmental disorders from diagnosis through to rehabilitation. Tanu Wadhera and Deepti Kakkar and their expert contributors focus on technological tools as equalizers in Neurodevelopmental disorders (NDDs) at every stage, the importance of demand-specific design, and how we can best engineer and deploy both invasive and non-invasive individual-centered approaches that support and connect individuals. Considering the perspectives of patients, clinicians and technologists, it explores key topics including design and evaluation of platforms for tech-tools, automated diagnosis, brain imaging techniques, tech-diagnostic frameworks with AI and machine learning, sensing technology, smart brain prosthetics, gamification, alternative communication devices, and education tools and interactive toys. Outlining future challenges for research, Enabling Technology for Neurodevelopmental Disorders is useful for scholars and professionals in psychology, technology, engineering and medicine concerned with design, development and evaluation of a range of assistive technological tools.
Author: Ben Mnaouer, Adel
Publisher: IGI Global
ISBN: 1799858413
Category : Computers
Languages : en
Pages : 339
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Book Description
In recent years, the surge of blockchain technology has been rising due to is proven reliability in ensuring secure and effective transactions, even between untrusted parties. Its application is broad and covers public and private domains varying from traditional communication networks to more modern networks like the internet of things and the internet of energy crossing fog and edge computing, among others. As technology matures and its standard use cases are established, there is a need to gather recent research that can shed light on several aspects and facts on the use of blockchain technology in different fields of interest. Enabling Blockchain Technology for Secure Networking and Communications consolidates the recent research initiatives directed towards exploiting the advantages of blockchain technology for benefiting several areas of applications that vary from security and robustness to scalability and privacy-preserving and more. The chapters explore the current applications of blockchain for networking and communications, the future potentials of blockchain technology, and some not-yet-prospected areas of research and its application. This book is ideal for practitioners, stakeholders, researchers, academicians, and students interested in the concepts of blockchain technology and the potential and pitfalls of its application in different utilization domains.
Author: Stephen G. Newman
Publisher: John Wiley & Sons
ISBN: 1119855640
Category : Science
Languages : en
Pages : 500
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Book Description
ENABLING TOOLS AND TECHNIQUES FOR ORGANIC SYNTHESIS Provides the practical knowledge of how new technologies impact organic synthesis, enabling the reader to understand literature, evaluate different techniques, and solve synthetic challenges In recent years, new technologies have impacted organic chemistry to the point that they are no longer the sole domain of dedicated specialists. Computational chemistry, for example, can now be used by organic chemists to help predict outcomes, understand selectivity, and decipher mechanisms. To be prepared to solve various synthetic problems, it is increasingly important for chemists to familiarize themselves with a range of current and emerging tools and techniques. Enabling Tools and Techniques for Organic Synthesis: A Practical Guide to Experimentation, Automation, and Computation provides a broad overview of contemporary research and new technologies applied to organic synthesis. Detailed chapters, written by a team of experts from academia and industry, describe different state-of-the-art techniques such as computer-assisted retrosynthesis, spectroscopy prediction with computational chemistry, high throughput experimentation for reaction screening, and optimization using Design of Experiments (DoE). Emphasizing real-world practicality, the book includes chapters on programming for synthetic chemists, machine learning (ML) in chemical synthesis, concepts and applications of computational chemistry, and more. Highlights the most recent methods in organic synthesis and describes how to employ these techniques in a reader’s own research Familiarizes readers with the application of computational chemistry and automation technology in organic synthesis Introduces synthetic chemists to electrochemistry, photochemistry, and flow chemistry Helps readers comprehend the literature, assess the strengths and limitations of each technique, and apply those tools to solve synthetic challenges Provides case studies and guided examples with graphical illustrations in each chapter Enabling Tools and Techniques for Organic Synthesis: A Practical Guide to Experimentation, Automation, and Computation is an invaluable reference for scientists needing an up-to-date introduction to new tools, graduate students wanting to expand their organic chemistry skills, and instructors teaching courses in advanced techniques for organic synthesis.
Author: Douglas R. Mauro
Publisher: "O'Reilly Media, Inc."
ISBN: 9780596000202
Category : Computers
Languages : en
Pages : 340
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Book Description
A practical introduction to SNMP for system network administrators. Starts with the basics of SNMP, how it works and provides the technical background to use it effectively.
Author: Katharina Heyer
Publisher: University of Michigan Press
ISBN: 0472052470
Category : Political Science
Languages : en
Pages : 259
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Book Description
A comparative study of the adaptation of a civil rights approach to disability in different national and international contexts
Author: Michael Pfeifer
Publisher: Butterworth-Heinemann
ISBN: 0080941834
Category : Technology & Engineering
Languages : en
Pages : 321
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Book Description
There are books aplenty on materials selection criteria for engineering design. Most cover the physical and mechanical properties of specific materials, but few offer much in the way of total product design criteria. This innovative new text/reference will give the "Big picture view of how materials should be selected—not only for a desired function but also for their ultimate performance, durability, maintenance, replacement costs, and so on. Even such factors as how a material behaves when packaged, shipped, and stored will be taken into consideration. For without that knowledge, a design engineer is often in the dark as to how a particular material used in particular product or process is going to behave over time, how costly it will be, and, ultimately, how successful it will be at doing what is supposed to do. This book delivers that knowledge.* Brief but comprehensive review of major materials functional groups (mechanical, electrical, thermal, chemical) by major material categories (metals, polymers, ceramics, composites)* Invaluable guidance on selection criteria at early design stage, including such factors as functionality, durability, and availability* Insight into lifecycle factors that affect choice of materials beyond simple performance specs, including manufacturability, machinability, shelf life, packaging, and even shipping characteristics* Unique help on writing materials selection specifications
Author: Connie W. Delaney
Publisher: Springer
ISBN: 3319533002
Category : Medical
Languages : en
Pages : 504
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Book Description
Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.
