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A Primer on Multiple Intelligences
by Sarhan M. Musa Matthew N. SadikuThis book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
by G. Tomas Hult Marko Sarstedt Christian M. Ringle Joe HairThe third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
by G. Tomas Hult Marko Sarstedt Christian M. Ringle Joe HairThe third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
by Carlile Lavor Renato Portugal Franklin de Lima MarquezinoThis book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.Further, Grover's algorithm is presented for unstructured search discussing its consequences and applications. Next, important techniques are discussed such as Quantum Fourier Transform and quantum phase estimation. Finally, Shor's algorithm for integer factorization is explained.At last, quantum walks are explained in detail covering both the discrete and continuous time models,and applications of this techniques are described for the design and analyses of quantum algorithms.
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering #6)
by Hans Petter LangtangenThe book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen . . . does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. . . . Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python 'on the streets' could be a little jealous of students who have the opportunity to take a course out of Langtangen's Primer. " John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
A Process Algebraic Approach to Software Architecture Design
by Alessandro Aldini Flavio Corradini Marco BernardoThe design and the verification of modern software applications requires the analysis of several different aspects, such as software correctness, quality of service, and security, and of the possible inter-relations among them. Process algebraic architectural languages and the related analysis techniques provide a formal paradigm that allows for the modeling and analysis of such systems and of the related properties during the early stages of the design process. The book presents such a paradigm in a novel way that privileges the discussion of its foundational characteristics and then introduces a number of guidelines, integrated with ad-hoc methodologies and exemplifying case studies, to support the practical benefits of using such a paradigm. The book can be of help for both researchers and graduate students who intend to approach the process algebraic formal paradigm and for the practitioners who intend to apply the related approach to software design and verification.
A Programmer's Companion to Algorithm Analysis
by Ernst L. LeissUntil now, no other book examined the gap between the theory of algorithms and the production of software programs. Focusing on practical issues, A Programmer's Companion to Algorithm Analysis carefully details the transition from the design and analysis of an algorithm to the resulting software program. Consisting of two main complementary
A Proof Theory for Description Logics (SpringerBriefs in Computer Science)
by Alexandre RademakerDescription Logics (DLs) is a family of formalisms used to represent knowledge of a domain. They are equipped with a formal logic-based semantics. Knowledge representation systems based on description logics provide various inference capabilities that deduce implicit knowledge from the explicitly represented knowledge. A Proof Theory for Description Logics introduces Sequent Calculi and Natural Deduction for some DLs (ALC, ALCQ). Cut-elimination and Normalization are proved for the calculi. The author argues that such systems can improve the extraction of computational content from DLs proofs for explanation purposes.
A Psychology of User Experience: Involvement, Affect and Aesthetics (Human–Computer Interaction Series)
by Phil TurnerIt is well-established that while cognitive psychology provides a sound foundation for an understanding of our interactions with digital technology, this is no longer sufficient to make sense of how we use and experience the personal, relational and ubiquitous technologies that pervade everyday life. This book begins with a consideration of the nature of experience itself, and the user experience (UX) of digital technology in particular, offering a new, broader definition of the term. This is elaborated though a wide-ranging and rigorous review of what are argued to be the three core UX elements. These are involvement, including shared sense making, familiarity, appropriation and "being-with" technologies; affect, including emotions with and about technology, impressions, feelings and mood; and aesthetics, including embodied aesthetics and neuroaesthetics. Alongside this, new insights are introduced into how and why much of our current use of digital technology is simply idling, or killing time. A particular feature of the book is a thorough treatment of parallel, and sometimes competing, accounts from differing academic traditions. Overall, the discussion considers both foundational and more recent theoretical and applied perspectives from social psychology, evolutionary psychology, folk psychology, neuroaesthetics, neuropsychology, the philosophy of technology, design and the fine arts. This broad scope will be enlightening and stimulating for anyone concerned in understanding UX. A Psychology of User Experience stands as a companion text to the author's HCI Redux text which discusses the contemporary treatment of cognition in human-computer interaction.
A Psychology of User Experience: Involvement, Affect and Aesthetics (Human–Computer Interaction Series)
by Phil TurnerAs mainstream psychology was never intended for the HCI practitioner, this second edition of A Psychology of User Experience takes the opportunity to create a new chapter specifically written for practitioners, that is, UX-oriented psychology rather than the all-too familiar everyday variety. For example, we discuss our two modes of cognition (fast / slow or controlled / automatic); we underline the importance of familiarity; and how and why we check our phones every few seconds day or night. We also establish the ‘context for user experience’ noting that just about everyone uses a cell phone and very many own a smartphone too and have done so for years (so, how did they learn to use them?). User experience reflects the current vogue for “designing for experience” within HCI which we recognise as something we feel rather than have reasoned about. In the real world, our feelings tell us how we are doing but with UX, they tell us how we feel about using digital technology. Topics are introduced to UX which maybe unfamiliar such as virtual experiences and virtual emotions and the affect associated with the uncontrolled use of digital technology.A Psychology of User Experience stands as a companion text to the author’s HCI Redux text which discusses the contemporary treatment of cognition in human-computer interaction.
A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics
by Gayathri RajagopalanExplore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis. The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.What You'll LearnFurther your programming and analytical skills with PythonSolve mathematical problems in calculus, and set theory and algebra with PythonWork with various libraries in Python to structure, analyze, and visualize dataTackle real-life case studies using PythonReview essential statistical concepts and use the Scipy library to solve problems in statistics Who This Book Is ForProfessionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.
A Pythonic Adventure: From Python basics to a working web app
by Pavel AnniTime to take an adventure with friends! Team up with Erik and Simon to learn Python the easy way. This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time.In A Pythonic Adventure, you will learn useful Python skills like: Installing Python Working with files Creating text-based dialogs and menus Using if/then, loops, lists, dictionaries, and input/output Building web applications Making your web apps look super professional It&’s fun to learn with friends! In A Pythonic Adventure you&’ll meet Erik and Simon, two brothers who are just beginning their Python journey. Join them as they chat about the language, learn the basics, and build some cool programs. The book&’s dialogue helps young programmers understand complex concepts much more easily. It's the perfect way for young programmers (and their parents) to get started. There&’s no boring lessons or dull exercises in this adventure. You&’ll follow Erik and Simon&’s questions and mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. By the time they&’re done reading, young learners will not only know how to write code, they&’ll know how to think about problems like professional developers. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. About the technology Computer programming is an adventure, full of new experiences, challenges, triumphs, and mistakes. In A Pythonic Adventure, you&’ll join brothers Erik and Simon as they learn to create their first Python program. Written especially for young readers, this book is the perfect introduction to a skill that will last a lifetime! About the book A Pythonic Adventure teaches you to code by asking questions, making errors, and trying out different solutions—just like in real life. As you go, you&’ll create a web application for a coffee shop step-by-step, from your first online menu to saving orders in a database. And this unique tutorial goes deeper than other beginner books. You&’ll learn and practice important skills like planning applications, finding bugs, and managing user expectations. What's inside Installing Python Creating text-based dialogs and menus Building web applications Making your web apps look professional About the reader For readers aged 10+. Perfect for adult beginners, too! About the author Pavel Anni is a Principal Customer Engineer at SambaNova Systems, and has also worked for Sun Microsystems, Oracle, and Red Hat. Table of Contents 1 Coffee for friends: First steps 2 Lists: What&’s on the menu? 3 Functions: Don&’t repeat yourself! 4 User errors: Everybody makes mistakes 5 Working with files: Being a shop manager 6 Main menu: Next customer! 7 Creating functions: Get the order and print it 8 Working with JSON: Save the order 9 Complete the menu: A real program 10 Learning Flask: Your first web application 11 Web form for orders: Coffee shop on the web 12 Database: We need good storage 13 Styles: Making it pretty 14 Help from AI: Improving our code 15 Next steps: Plans for the future
A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems (Studies In Systems, Decision And Control #148)
by Anthony Tri Tran C. Quang HaThis book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.
A Quest for Projects with Scarce Resources: Seeking Schedule Intelligence Through Project Data Discovery (Business Guides on the Go)
by Mario VanhouckeBased on the shared journey of two researchers, this book explores enhancing algorithms for the resource-constrained project scheduling problem. It examines the search for and significance of project data from multiple, distinct perspectives. In the first part, the quest for project data is presented as a continuous exploration of the complexity of the resource-constrained project scheduling problem. This quest is pursued by solving this challenging problem with the aid of state-of-the-art algorithms from the literature, each time gaining a deeper understanding of its challenging nature. To provide insights into the problem’s complexity, project data is created, manipulated, and analyzed in depth to make current projects easier or harder to schedule. This challenging quest for project data has resulted in new project databases for academic research, new ways of testing future algorithms, and insights into how to improve future algorithms to solve this project scheduling problem with limited resources. In turn, the second part discusses the relevance of project data, demonstrating to the reader the importance of the academic research presented in the first part for the professional world. It shows how project data can be used to calibrate real project data, leading to improved decision-making, e.g. for project scheduling, forecasting, and risk analysis. The book extends a warm invitation to academics and practitioners alike, as fellow seekers of knowledge, to enhance their project management skills.
A Question of Balance: Private Rights and the Public Interest in Scientific and Technical Databases
by Committee for a Study on Promoting Access to Scientific Technical Data for the Public InterestNew legal approaches, such as the European Union's 1996 Directive on the Legal Protection of Databases, and other legal initiatives now being considered in the United States at the federal and state level, are threatening to compromise public access to scientific and technical data available through computerized databases. Lawmakers are struggling to strike an appropriate balance between the rights of database rights holders, who are concerned about possible commercial misappropriation of their products, and public-interest users of the data such as researchers, educators, and libraries.A Question of Balance examines this balancing act. The committee concludes that because database rights holders already enjoy significant legal, technical, and market-based protections, the need for statutory protection has not been sufficiently substantiated. Nevertheless, although the committee opposes the creation of any strong new protective measures, it recognizes that some additional limits against wholesale misappropriation of databases may be necessary. In particular, a new, properly scoped and focused U.S. statute might provide a reasonable alternative to the European Union's highly protectionistic database directive. Such legislation could then serve as a legal model for an international treaty in this area. The book recommends a number of guiding principles for such possible legislation, as well as related policy actions for the administration.
A Radical Enterprise: Pioneering the Future of High-Performing Organizations
by Matt K. ParkerThe fastest growing and most competitive organizations in the world have no bureaucracies, no bosses, and no bullshit. The tomato sauce in your pantry. The raincoat in your closet. The smart TV hanging in your living room. What do all of these products have in common? Chances are they were created by organizations where colleagues self-allocate into teams based on intrinsic motivation. Where individuals self-manage their commitments to each other without the coercion of managers. And where teams launch new products and ventures on the market without the control of leaders.These organizations represent a new, radically collaborative breed of corporation. Recently doubling in number and already comprising 8% of corporations around the world, scientists and researchers have discovered that radically collaborative organizations are more competitive on practically every meaningful financial measure. They enjoy higher market share, higher innovation, and higher customer satisfaction than their traditional corporate competitors—and they also enjoy higher engagement, loyalty, and motivation from their employees. In this groundbreaking book, technology thought leader and organizational architect Matt K. Parker breaks down the counterintuitive principles and practices that radically collaborative organizations thrive on. By combining the latest insights from organizational science, sociology, and psychology, he illuminates four imperatives that all radically collaborative organizations must embrace in order to succeed: team autonomy, managerial devolution, deficiency gratification, and candid vulnerability. Millions of workers around the world are collapsing under the weight of command-and-control culture. The crisis has reached its breaking point. Now is the time to embrace radical change. Discover the revolutionary shift to partnership and equality and the economic superiority that follows with A Radical Enterprise.
A Raphael Madonna and Child Oil Painting: A Forensic Analytical Evaluation
by Howell G. EdwardsThis book presents a comprehensive forensic analysis of an oil painting depicting a Madonna and Child in a tondo format, previously thought to be a Victorian copy. Detailed historical and scientific studies confirm that this painting was, in fact, created by Raphael around 1512 as a study for his renowned Sistine Madonna, commissioned by Pope Julius II as an altarpiece for the monastic church of San Sisto in Piacenza. The painting underwent rigorous forensic examination, combining historical research with both invasive and non-invasive scientific imaging techniques. The analysis utilized advanced physical and chemical instrumentation to determine the painting's authenticity and accurate chronological placement. A comparative review of published chemical analyses of pigments, dyes, and substrates used in Raphael’s works from collections worldwide is included. Additionally, this study explores the innovative use of artificial intelligence (AI) for facial comparison between the figures in the tondo painting, the Sistine Madonna, and other Raphael artworks. These AI-generated insights provide novel information about the identities of Raphael’s models and shed light on his working techniques, as well as those of his associates.
A Rapid Introduction to Adaptive Filtering (SpringerBriefs in Electrical and Computer Engineering)
by Hernan Rey Leonardo Rey VegaIn this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative methods for solving the optimization problem, e.g., the Method of Steepest Descent. By proposing stochastic approximations, several basic adaptive algorithms are derived, including Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS) and Sign-error algorithms. The authors provide a general framework to study the stability and steady-state performance of these algorithms. The affine Projection Algorithm (APA) which provides faster convergence at the expense of computational complexity (although fast implementations can be used) is also presented. In addition, the Least Squares (LS) method and its recursive version (RLS), including fast implementations are discussed. The book closes with the discussion of several topics of interest in the adaptive filtering field.
A Real-Time In-Memory Discovery Service: Leveraging Hierarchical Packaging Information in a Unique Identifier Network to Retrieve Track and Trace Information (In-Memory Data Management Research)
by Jürgen MüllerThe research presented in this book discusses how to efficiently retrieve track and trace information for an item of interest that took a certain path through a complex network of manufacturers, wholesalers, retailers, and consumers. To this end, a super-ordinate system called "Discovery Service" is designed that has to handle large amounts of data, high insert-rates, and a high number of queries that are submitted to the discovery service. An example that is used throughout this book is the European pharmaceutical supply chain, which faces the challenge that more and more counterfeit medicinal products are being introduced. Between October and December 2008, more than 34 million fake drug pills were detected at customs control at the borders of the European Union. These fake drugs can put lives in danger as they were supposed to fight cancer, take effect as painkiller or antibiotics, among others. The concepts described in this book can be adopted for supply chain management use cases other than track and trace, such as recall, supply chain optimization, or supply chain analytics.
A Reference Manual for Data Privacy Laws and Cyber Frameworks (Cyber Shorts)
by Ravindra DasAs the world is becoming more digital and entwined together, the cybersecurity threat landscape has no doubt become a daunting one. For example, typical threat variants of the past, especially those of phishing, have now become much more sophisticated and covert in nature. A lot of this has been brought on by the proliferation of ransomware, which exploded during the COVID-19 pandemic. Now, there is another concern that is looming on the horizon: data privacy. Now, more than ever, consumers on a global basis want to know exactly what is happening to their personal identifiable information (PII) datasets. Examples of what they want to know about include the following: What kinds and types of information and data are being collected about them How those PII datasets are being stored, processed, and transacted with How their PII datasets are being used by third-party suppliers In response to these concerns and fears, as well as the cyber risks posed by these datasets, many nations around the world have set up rather extensive and very detailed data privacy laws. In their respective tenets and provisions, these pieces of legislation not only specify why and how businesses need to comply with them, but also outline the rights that are afforded to each and every consumer. In this book, we detail the tenets and provisions of three key data privacy laws: The GDPR The CCPA The CMMC We also provide a general framework at the end on how a business can comply with these various data privacy laws.The book begins with an in-depth overview of the importance of data and datasets, and how they are so relevant to the data privacy laws just mentioned.
A Research Primer for Technical Communication: Methods, Exemplars, and Analyses
by Pam Estes Brewer George F HayhoeThis fully revised edition provides a practical introduction to research methods for anyone conducting and critically reading technical communication research. The first section discusses the role of research in technical communication and explains in plain language how to conduct and report such research. It covers both quantitative and qualitative methods, as well as surveys, usability studies, and literature reviews. The second section presents a collection of research articles that serve as exemplars of these major types of research projects, each followed by commentary breaking down how it corresponds to the information on that research type. In addition to five new chapters of exemplars and commentaries, this second edition contains a new chapter on usability studies. This book is an essential introduction to research methods for students of technical communication and for industry professionals who need to conduct and engage with research on the job.
A Research Primer for Technical Communication: Methods, Exemplars, and Analyses
by George F. Hayhoe Michael A. HughesThis practical volume provides a thorough introduction to conducting and critically reading research in technical communication, complete with exemplars of research articles for study. Offering a solid grounding in the research underpinnings of the technical communication field, this resource has been developed for use in master’s level and upper-division undergraduate research methods courses in technical and professional communication.
A Review of the FBI's Trilogy Information Technology Modernization Program
by Committee on the FBI's Trilogy Information Technology Modernization ProgramThe Federal Bureau of Investigation (FBI) is in the process of developing a modern information technology (IT) system—the Trilogy program— that is designed to provide a high-speed network, modern workstations and software, and an application—the Virtual Case File (VCF)—to enhance the ability of agents to organize, access, and analyze information. Implementation of this system has encountered substantial difficulties, however, and has been the subject of much investigation and congressional concern. To help address these problems, the FBI asked the National Research Council (NRC) to undertake a quick review of the program and the progress that has been made to date. This report presents that review. The current status of four major aspects of the program—the enterprise architecture, system design, program management, and human resources—are discussed, and recommendations are presented to address the problems.
A Rigorous Semantics for BPMN 2.0 Process Diagrams
by Felix Kossak Christa Illibauer Verena Geist Jan Kubovy Christine Natschläger Thomas Ziebermayr Theodorich Kopetzky Bernhard Freudenthaler Klaus-Dieter ScheweThis book provides the most complete formal specification of the semantics of the Business Process Model and Notation 2. 0 standard (BPMN) available to date, in a style that is easily understandable for a wide range of readers - not only for experts in formal methods, but e. g. also for developers of modeling tools, software architects, or graduate students specializing in business process management. BPMN - issued by the Object Management Group - is a widely used standard for business process modeling. However, major drawbacks of BPMN include its limited support for organizational modeling, its only implicit expression of modalities, and its lack of integrated user interaction and data modeling. Further, in many cases the syntactical and, in particular, semantic definitions of BPMN are inaccurate, incomplete or inconsistent. The book addresses concrete issues concerning the execution semantics of business processes and provides a formal definition of BPMN process diagrams, which can serve as a sound basis for further extensions, i. e. , in the form of horizontal refinements of the core language. To this end, the Abstract State Machine (ASMs) method is used to formalize the semantics of BPMN. ASMs have demonstrated their value in various domains, e. g. specifying the semantics of programming or modeling languages, verifying the specification of the Java Virtual Machine, or formalizing the ITIL change management process. This kind of improvement promotes more consistency in the interpretation of comprehensive models, as well as real exchangeability of models between different tools. In the outlook at the end of the book, the authors conclude with proposing extensions that address actor modeling (including an intuitive way to denote permissions and obligations), integration of user-centric views, a refined communication concept, and data integration.
A Roadmap for Enabling Industry 4.0 by Artificial Intelligence
by Harish Garg Jyotir Moy Chatterjee R. N. ThakurA ROADMAP FOR ENABLING INDUSTRY 4.0 BY ARTIFICAIAL INTELLIGENCE The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0. The industry 4.0 vision has been discussed for quite a while and the enabling technologies are now mature enough to turn this vision into a grand reality sooner rather than later. The fourth industrial revolution, or Industry 4.0, involves the infusion of technology-enabled deeper and decisive automation into manufacturing processes and activities. Several information and communication technologies (ICT) are being integrated and used towards attaining manufacturing process acceleration and augmentation. This book explores and educates the recent advancements in blockchain technology, artificial intelligence, supply chains in manufacturing, cryptocurrencies, and their crucial impact on realizing the Industry 4.0 goals. The book thus provides a conceptual framework and roadmap for decision-makers for implementing this transformation. Audience Computer and artificial intelligence scientists, information and communication technology specialists, and engineers in electronics and industrial manufacturing will find this book very useful.