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Artificial Intelligence for Science and Engineering Applications
by Shahab D. MohagheghArtificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‑making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI.This book:• Offers a brief history of AI and covers science and engineering applications• Explores the modeling of physical phenomena using AI• Discusses explainable AI (XAI) applications• Covers the ethics of AI in science and engineering• Features real‑world case studiesOffering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.
Artificial Intelligence for Science and Engineering Applications
by Shahab D. MohagheghArtificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‑making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI.This book:• Offers a brief history of AI and covers science and engineering applications• Explores the modeling of physical phenomena using AI• Discusses explainable AI (XAI) applications• Covers the ethics of AI in science and engineering• Features real‑world case studiesOffering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.
The Westminster Lobby Correspondents: A Sociological Study of National Political Journalism (Routledge Revivals)
by Jeremy TunstallThe Westminster Lobby correspondents have a special place in both the politics and the mass media of Britain. These journalists dominate the behind-the-scenes reporting of British national politics. In this book, originally published in 1970, Jeremy Tunstall presents the first systematic social science study of the uniquely British phenomenon of Lobby correspondents.The study includes data collected from interviews with the national Lobby correspondents, who also completed lengthy questionnaires. It contains evidence of their careers, political opinions, pay, working conditions, relationships with their employing news organization and political news sources, and on the way in which the correspondents both compete with, and exchange information with, each other. As well as this fascinating empirical data, the book offers an important contribution to the sociology of politics and the mass media, and to the study of ‘organizational intelligence’ and the sociology of occupations.There had long centred upon the Lobby correspondents many myths and misconceptions, which Jeremy Tunstall effectively demolishes. (The so-called ‘Lobby rules’ were here published for the first time.) Other real dilemmas are, however, revealed: the competing demands of publicity and secrecy; the dilemmas of British politics in which basic principles – such as Parliamentary supremacy and Cabinet secrecy – are daily breached, not only by the correspondents, but also by leading politicians; and the problems of a system of political communication whose obsession with daily news values is so similar to official and academic contributions. With media and politics still very much linked today, this reissue can be read and enjoyed in its historical context.
The Open University Opens (Routledge Revivals)
by Jeremy TunstallStill going strong today, The Open University, Britain’s national correspondence – TV – radio University, excited much controversy when it first opened and in 1973 awarded its first degrees. With its adult, part-time students, its freedom from formal entrance qualifications, it deliberately questioned many orthodoxies of higher education at the time. Yet the OU differed so much from other universities that few outsiders grasped quite how complex, quite how revolutionary, quite how downright infuriating the OU was, or could be.Originally published in 1974, this book gives a first-hand account of what the OU was about and what it felt like to be an OU student or lecturer. The articles in the collection – edited by Jeremy Tunstall, himself on the OU staff – include contributions from outside observers, from OU staff, and from OU students. This is an unofficial yet informed and lively account of what it felt like in 1974, and what it felt like in the early days, to be part of a project so controversial and progressive.
The Westminster Lobby Correspondents: A Sociological Study of National Political Journalism (Routledge Revivals)
by Jeremy TunstallThe Westminster Lobby correspondents have a special place in both the politics and the mass media of Britain. These journalists dominate the behind-the-scenes reporting of British national politics. In this book, originally published in 1970, Jeremy Tunstall presents the first systematic social science study of the uniquely British phenomenon of Lobby correspondents.The study includes data collected from interviews with the national Lobby correspondents, who also completed lengthy questionnaires. It contains evidence of their careers, political opinions, pay, working conditions, relationships with their employing news organization and political news sources, and on the way in which the correspondents both compete with, and exchange information with, each other. As well as this fascinating empirical data, the book offers an important contribution to the sociology of politics and the mass media, and to the study of ‘organizational intelligence’ and the sociology of occupations.There had long centred upon the Lobby correspondents many myths and misconceptions, which Jeremy Tunstall effectively demolishes. (The so-called ‘Lobby rules’ were here published for the first time.) Other real dilemmas are, however, revealed: the competing demands of publicity and secrecy; the dilemmas of British politics in which basic principles – such as Parliamentary supremacy and Cabinet secrecy – are daily breached, not only by the correspondents, but also by leading politicians; and the problems of a system of political communication whose obsession with daily news values is so similar to official and academic contributions. With media and politics still very much linked today, this reissue can be read and enjoyed in its historical context.
The Open University Opens (Routledge Revivals)
Still going strong today, The Open University, Britain’s national correspondence – TV – radio University, excited much controversy when it first opened and in 1973 awarded its first degrees. With its adult, part-time students, its freedom from formal entrance qualifications, it deliberately questioned many orthodoxies of higher education at the time. Yet the OU differed so much from other universities that few outsiders grasped quite how complex, quite how revolutionary, quite how downright infuriating the OU was, or could be.Originally published in 1974, this book gives a first-hand account of what the OU was about and what it felt like to be an OU student or lecturer. The articles in the collection – edited by Jeremy Tunstall, himself on the OU staff – include contributions from outside observers, from OU staff, and from OU students. This is an unofficial yet informed and lively account of what it felt like in 1974, and what it felt like in the early days, to be part of a project so controversial and progressive.
A Fresh Concept of Software-resemblant Hardware to Leap to 6G and Future Networks: Micro/Nanotechnologies as Enablers of Pervasivity
by Jacopo IannacciFor a decade, with the uptake of 4G, we have become accustomed to the relentless increase in data and services on the move. The deployment of 5G is advancing crucial key performance indicators (KPIs), along with quality of service (QoS). Setting the horizon to 2030 and later, 6G will take the KPIs to numbers 100–1000 times better than 5G. Yet, the actual disruption of 6G and future networks (FN) will take place following other unprecedented paths.Artificial intelligence (AI) will be exploited in a threadlike fashion, at any level of the network physical infrastructure. This will introduce, to date unknown features, like self-sustaining, self-evolution and high-resilience of small portions of the infrastructure, pioneering the concept of a network of networks. Each segment of the infrastructure will bear a high degree of independence, while working at the same time as a whole, in full orchestration with the rest of the network.Given such a scenario, this book claims that the established and currently in use paradigms for the design and development of hardware–software (HW–SW) systems, are not appropriate to address the challenges of 6G and, further ahead, of FN. In response, unprecedented design approaches are suggested, relying on a fresh reinterpretation of the standard concept of HW, with specific attention to the network edge and edge intelligence (EI).This work develops some conceptual tools that may help address the technical challenges resulting from the intricate scenario sketched above. Within the mentioned HW reconceptualization, a pivotal role is forecasted for microtechnologies and nanotechnologies, intended with a broad meaning, which embraces, among others, devices, systems (MEMS/NEMS) and materials.
A Fresh Concept of Software-resemblant Hardware to Leap to 6G and Future Networks: Micro/Nanotechnologies as Enablers of Pervasivity
by Jacopo IannacciFor a decade, with the uptake of 4G, we have become accustomed to the relentless increase in data and services on the move. The deployment of 5G is advancing crucial key performance indicators (KPIs), along with quality of service (QoS). Setting the horizon to 2030 and later, 6G will take the KPIs to numbers 100–1000 times better than 5G. Yet, the actual disruption of 6G and future networks (FN) will take place following other unprecedented paths.Artificial intelligence (AI) will be exploited in a threadlike fashion, at any level of the network physical infrastructure. This will introduce, to date unknown features, like self-sustaining, self-evolution and high-resilience of small portions of the infrastructure, pioneering the concept of a network of networks. Each segment of the infrastructure will bear a high degree of independence, while working at the same time as a whole, in full orchestration with the rest of the network.Given such a scenario, this book claims that the established and currently in use paradigms for the design and development of hardware–software (HW–SW) systems, are not appropriate to address the challenges of 6G and, further ahead, of FN. In response, unprecedented design approaches are suggested, relying on a fresh reinterpretation of the standard concept of HW, with specific attention to the network edge and edge intelligence (EI).This work develops some conceptual tools that may help address the technical challenges resulting from the intricate scenario sketched above. Within the mentioned HW reconceptualization, a pivotal role is forecasted for microtechnologies and nanotechnologies, intended with a broad meaning, which embraces, among others, devices, systems (MEMS/NEMS) and materials.
Digital Factory: A Digital Compass for Smart Manufacturing (Synthesis Lectures on Mechanical Engineering)
by Luka KozamernikThe Digital Factory is a comprehensive guide for leaders in the manufacturing sector looking to navigate the complex digital transformation landscape. Digitalization has become crucial to any company's success in today's fast-paced business world. However, making sense of the plethora of information on approaching digitalization can be challenging, leaving many leaders needing clarification. The pressure to make the right decisions can be overwhelming, with various groups advocating their interests. Without a clear vision and understanding of digital transformation, leaders may lack confidence in making the right company decisions. And with access to specific and valuable knowledge about digital transformation, achieving optimal returns for the company can be more accessible. This book is designed to empower leaders in the manufacturing sector to overcome these challenges.
Smart Card Research and Advanced Applications: 22nd International Conference, CARDIS 2023, Amsterdam, The Netherlands, November 14–16, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14530)
by Shivam Bhasin Thomas RocheThis book constitutes the proceedings of the 22nd International Conference on Smart Card Research and Advanced Applications, CARDIS 2023, held in Amsterdam, The Netherlands, during November 14–16, 2023.The 13 full papers presented in this volume were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: fault attacks; side-channel analysis; smartcards & efficient Implementations; and side-channel & neural networks.
12th World Conference “Intelligent System for Industrial Automation”: Volume 2 (Lecture Notes in Networks and Systems #912)
by R. A. Aliev Nodirbek Rustambekovich Yusupbekov Janusz Kacprzyk Witold Pedrycz M. B. Babanli Fahreddin M. Sadikoglu S. M. TurabdjanovThis book presents the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others.The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.
Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital
Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from their larger counterparts and corporations in three distinct ways: 1) they tend to have fewer resources, time, and specialized training to devote to data analytics; 2) they are part of a unique entrepreneurial ecosystem with unique needs; 3) scholarship and academic research on human capital data analytics in startups is lacking. Existing entrepreneurship research focuses almost exclusively on macro-level aspects. There has been little to no integration of micro- and meso-level research (i.e., individual and team sciences), which is unfortunate given how organizational scientists have significantly advanced human capital data analytics. Unlike other books focused on data analytics and decision for organizations, this proposed book is purposefully designed to be more specifically aimed at addressing the unique idiosyncrasies of the science, research, and practice of startups. Each chapter highlights a specific organizational domain and discuss how a novel data analytic technique can help enhance decision-making, provides a tutorial of said regarding the data analytic technique, and lists references and resources for the respective data analytic technique. The volume will be grounded in sound theory and practice of organizational psychology, entrepreneurship and management and is divided into two parts: assessing and evaluating human capital performance and the use of data analytics to manage human capital.
Data-Driven Decision Making in Entrepreneurship: Tools for Maximizing Human Capital
by Nikki Blacksmith Maureen E. McCuskerSince the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from their larger counterparts and corporations in three distinct ways: 1) they tend to have fewer resources, time, and specialized training to devote to data analytics; 2) they are part of a unique entrepreneurial ecosystem with unique needs; 3) scholarship and academic research on human capital data analytics in startups is lacking. Existing entrepreneurship research focuses almost exclusively on macro-level aspects. There has been little to no integration of micro- and meso-level research (i.e., individual and team sciences), which is unfortunate given how organizational scientists have significantly advanced human capital data analytics. Unlike other books focused on data analytics and decision for organizations, this proposed book is purposefully designed to be more specifically aimed at addressing the unique idiosyncrasies of the science, research, and practice of startups. Each chapter highlights a specific organizational domain and discuss how a novel data analytic technique can help enhance decision-making, provides a tutorial of said regarding the data analytic technique, and lists references and resources for the respective data analytic technique. The volume will be grounded in sound theory and practice of organizational psychology, entrepreneurship and management and is divided into two parts: assessing and evaluating human capital performance and the use of data analytics to manage human capital.
Recreating Creativity, Reinventing Inventiveness: AI and Intellectual Property Law (Law and Change)
As artificial intelligence (AI) is increasingly used to generate inventions and creative works, a critical question to be addressed is whether intellectual property (IP) laws should protect such works. This book examines the critical question of whether intellectual property laws should protect works generated by artificial intelligence.If we do not wish to use IP laws to protect such works, how can we still support research, development, and innovation in society? If we do wish to use IP laws to protect such works, should the copyright, patents, and other IP rights attach to the human creator of the AI technology or the AI system? The book explores these compelling societal, economic, and legal issues. The authors evaluate the continuing relevance of existing laws, explore the divergent approaches being debated by nations around the world, and present visions for change.The book will enable both lawyers and non-lawyers to reimagine governance frameworks to create laws that equitably balance the interests of creators, investors, and end users of AI-generated works.
Einführung in die Computeranimation: Methoden, Algorithmen, Grundlagen
by Stefan M. GrünvogelDas Buch ist das erste umfassende deutschsprachige Lehrbuch zur Computeranimation, das sich speziell an Studierende der Informatik und der Ingenieurwissenschaften richtet, die ihr Verständnis der mathematischen Grundlagen und Algorithmen dieses spannenden Gebiets vertiefen wollen. Das Lehrbuch ist in vier Hauptteile gegliedert und deckt damit alle wichtigen Bereiche der Computeranimation ab: Animationssysteme, Objektanimation, Charakteranimation und Prozedurale Animation. Jeder Teil ist in weitere Kapitel unterteilt und bietet eine detaillierte Darstellung der Algorithmen und Methoden der Computeranimation mit ausführlichen Erklärungen.Im ersten Teil werden die wichtigsten Konzepte von Animationssystemen wie Szenengraphen, Zeit und Game Loop erläutert. Im zweiten Teil geht es um die Animation und Steuerung von Objekten entlang von Kurven, die die Grundlage vieler Animationstechniken bilden. Im dritten Teil wird das Gebiet der Charakteranimation ausführlich behandelt. Kinematik und inverse Kinematik werden diskutiert, Skinning-Methoden vorgestellt und Motion-Capture und die Verarbeitung von Bewegungsdaten ausführlich beschrieben. Der letzte Teil des Buches beschäftigt sich mit der prozeduralen Animation und stellt verschiedene Algorithmen für physikalisch basierte Animation und Partikelsysteme vor. Im gesamten Buch finden sich zahlreiche Beispiele und Illustrationen, die das Verständnis der behandelten Konzepte und Verfahren vertiefen. Am Ende jedes Kapitels finden sich Verweise auf historische und weiterführende Literatur, die zu weiterer Forschung anregen. Ein wichtiger Teil des Buches sind die zahlreichen Übungen und Projekte, die helfen, das Gelernte zu vertiefen und selbst zu erproben.
Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So (Complex and Enterprise Systems Engineering)
by Brian E. WhiteThis book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place.A wide variety of technical practitioners—e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers—may be interested in further exploring these topics.Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application.
Computational Statistical Methodologies and Modeling for Artificial Intelligence (ISSN)
by Priyanka Harjule Azizur Rahman Basant Agarwal Vinita TiwariThis book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering.The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence
Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes
by Rajesh Jha Bimal Kumar JhaThis book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB® and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers to develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Covers downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science Uses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.
Managing Security Services in Heterogenous Networks: Confidentiality, Integrity, Availability, Authentication, and Access Control
by Dr N. Jeyanthi Dr Kun Ma Dr Thinagaran Perumal Dr R. ThandeeswaranA heterogeneous network is a network which connects computers and other devices with different operating systems, protocols, or access technologies. By definition, managing heterogenous networks is more difficult that homogenous networks. Confidentiality, integrity, availability (CIA) remain the foundation of security. This book sheds light upon security threats, defenses, and remediation on various networking and data processing domains, including wired networks, wireless networks, mobile ad-hoc networks, wireless sensor networks, and social networks through the prisms of confidentiality, integrity, availability, authentication, and access control.The book is broken into different chapters that explore central subjects and themes in the development of the heterogenous networks we see today. The chapters look at: Access control methods in cloud-enabled Internet of Things Secure routing algorithms for mobile ad-hoc networks Building security trust in mobile ad-hoc networks using soft computing methods The use and development of Blockchain technology, with a particular focus on the nonce-free hash generation in Blockchain Password authentication and keystroke biometrics Health care data analytics over Big Data Bluetooth: and its open issues for managing security services in heterogenous networks Managing Security Services in Heterogenous Networks will be a valuable resource for a whole host of undergraduate and postgraduate students studying related topics, as well as career professionals who have to effectively manage heterogenous networks in the workplace.
Design of Internet of Things
by Gunneswara VSSS Kalaga RaoThe text provides a comprehensive overview of the design aspects of the internet of things devices and covers the fundamentals of big data and data science. It explores various scenarios such as what are the middleware and frameworks available and how to build a stable, standards-based, and Secure internet of things device. It discusses important concepts including embedded programming techniques, machine-to-machine architecture, and the internet of things for smart city applications. It will serve as an ideal design book for professionals, senior undergraduate, and graduate students in the fields including electrical engineering, electronics and communication engineering, and computer engineering. The book- Covers applications and architecture needed to deliver solutions to end customers and readers. Discusses practical aspects of implementing the internet of things in diverse areas including manufacturing, and software development. Highlights big data concepts and embedded programming techniques. Presents technologies including machine to machine, integrated sensors, and radio-frequency identification. Introduces global system for mobile communication and precise details of standards based on internet of things architecture models. The book focuses on practical design aspects such as how to finalize a processor integrated circuit, which operating system to use, etc. in a single volume. It will serve as an ideal text for professionals, senior undergraduate, and graduate students in diverse engineering domains including electrical, electronics and communication, computer.
Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations (ISSN)
by Vineet KansalHealthcare and knowledge management is the need of the era; this book investigates various challenges faced by practitioners in this area. It also covers the work to be done in the healthcare sector and the use of different computing techniques for better insight and decision-making. Healthcare and Knowledge Management for Society 5.0: Trends, Issues, and Innovations showcases the benefits of computing techniques used for knowledge management in the field of healthcare in the futuristic perspective of having a human-centric society 5.0. The book includes topics related to the use of technologies like artificial intelligence, machine learning, deep learning, Internet of Things, blockchain, and sensors for effective healthcare and management. Case studies are included for easy comprehension and the book covers the most up-to-date research in the field. The use of techniques like artificial intelligence in the field of knowledge management is also discussed.This book is intended for researchers and academicians to explore new ideas, techniques, and tools. Researchers working in interdisciplinary research can also find many interesting topics which will pave the way for a new arena in healthcare and knowledge management.
Human Factors Engineering and Ergonomics: A Systems Approach
by Stephen J. GuastelloThis textbook comprehensively covers the basic principles and most recent advances regarding visual displays, auditory and tactile displays and controls; psychophysics; cognitive processes; human-computer interaction, artificial intelligence and artificial life; stress and human performance; occupational accidents and prevention; human group dynamics and complex systems; and anthropometry, workspace and environmental design. The systems perspective emphasizes nonlinear dynamics for system performance changes and emergent behaviours of complex person-machine systems.This book- • Surveys principles of conventional and computer-based machine interaction. • Assesses the relative effectiveness of accident analysis and prevention strategies. • Highlights nonlinear dynamics for system performance changes. • Examines artificial intelligence and complex systems. • Investigates sources of cognitive workload and fatigue. The textbook will be a valuable resource for advanced undergraduates and graduate students in diverse fields including ergonomics, human factors, cognitive science, computer science, operations management, and psychology. The textbook brings together core principles of person-machine interaction, accident analysis and prevention strategies, risk analysis and resilience, artificial intelligence, group dynamics, and nonlinear dynamics for an enhanced understanding of complex person-machine systems.
Understanding Blockchain and Cryptocurrencies: A Primer for Implementing and Developing Blockchain Projects
by Akira SummersWhether you are a project manager looking to lead blockchain projects, a developer who would like to create blockchain-based applications, or a student with an interest, this book will provide you with the foundational understanding that you need.You have probably noticed that blockchains are growing in popularity. Governments are investigating Digital Currencies, supply chains are adopting Digital Ledgers, games makers and artists are developing NFTs (Non-Fungible Tokens), and new use-cases are emerging regularly.With such growth, many people will find themselves needing to understand how these technologies work. There will be new project teams, with technical leads managing blockchain projects and developers creating distributed applications. This book is great for them as it explains the concepts on which blockchain technologies are based, in simple terms.We will discuss and explain topics such as hashing, Merkle trees, nodes, mining, proof of work and proof of stake, consensus mechanisms encryption, vulnerabilities, and much more. The structures and principles described will be relevant for developers and managers alike, and will be demonstrated through relevant examples throughout the text.If you are looking to understand this exciting new technology, this is the book for you.
Cyber Security and Operations Management for Industry 4.0
by Ahmed A ElngarThis book seamlessly connects the topics of Industry 4.0 and cyber security. It discusses the risks and solutions of using cyber security techniques for Industry 4.0.Cyber Security and Operations Management for Industry 4.0 covers the cyber security risks involved in the integration of Industry 4.0 into businesses and highlights the issues and solutions. The book offers the latest theoretical and practical research in the management of cyber security issues common in Industry 4.0 and also discusses the ethical and legal perspectives of incorporating cyber security techniques and applications into the day-to-day functions of an organization. Industrial management topics related to smart factories, operations research, and value chains are also discussed.This book is ideal for industry professionals, researchers, and those in academia who are interested in learning more about how cyber security and Industry 4.0 are related and can work together.
Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications
by Shashi Kumar Paul Siqueira Himanshu Govil Shefali AgrawalThis book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications.This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.