We live in a moment of high anxiety around digital transformation. Computers are blamed for generating toxic forms of culture and ways of life. Once part of future imaginaries that were optimistic or even utopian, today there is a sense that things have turned out very differently. Anti-computing is widespread. This book seeks to understand its cultural and material logics, its forms, and its operations. Anti-Computing critically investigates forgotten histories of dissent - moments when the imposition of computational technologies, logics, techniques, imaginaries, utopias have been questioned, disputed, or refused. It asks why dissent is forgotten and how - under what circumstances - it revives. Constituting an engagement with media archaeology/medium theory and working through a series of case studies, this book is compelling reading for scholars in digital media, literary, cultural history, digital humanities and associated fields at all levels. -- .

Rich Kids: A History of Shopping Malls in Tehran is darkly comedic, urgent new play that explores the ubiquitous feeling that our societies are falling apart. It is the second part of a trilogy of plays from Javaad Alipoor about how digital technology, resentment and fracturing identities are changing the world. Combining digital theatre and a live Instagram feed, the production premiered at the Traverse Theatre in 2019, winning a Scotsman Fringe First Award. When its London transfer and subsequent national tour was postponed by the Covid-19 pandemic, co-creators Javaad Alipoor and Kirsty Housley set about devising a new digital version for online audiences which has been on virtual world tour since summer 2020 with performances at The Public Theater's Under The Radar Festival, HOME Manchester, Norfolk & Norwich Festival, Chicago's Woolly Mammoth Theatre, Electric Dreams Festival and the Sundance Film Festival. The Scotsman Fringe First Winner 'A compelling experiment… Thrillingly idea-rich, ambitious and formally adventurous.' The Stage 'An ambitious, sprawling show.' The Observer 

Sketching is a natural and intuitive communication tool used for expressing concepts and ideas that are difficult to communicate through text or speech alone. In design applications, drawings are used at various stages of the design process: from the early concept drawings scribbled on a piece of paper to immersive interactions in which users manipulate and adjust the 3D form of an object in virtual or augmented reality environments. This variety in drawing activities brings about the need for different interpretation strategies that support not only the sketching activity itself, but also allow sketch-based interactions, such as sketch-based queries, to take place. In this book, we explore the different drawing approaches used in design and the algorithms required for processing and interpreting the different sketches and drawings in design. The book is divided into two parts. The first part focuses on sketching in the 2D domain. This includes the digitization of offline and paper-based sketches, techniques for online sketch recognition, observations of user drawing habits, algorithms for inferring depth from 2D drawings, as well as non-photorealistic rendering techniques that are then applied to sketch-based queries. The second part of the book focuses on 3D sketching in virtual or augmented reality spaces. Here, we present the processing and rendering of the 3D strokes, the different interaction devices available for 3D sketching, and look at different applications where immersive 3D sketching has been applied with success.

This book from Jürgen Claus is a milestone among the books dedicated to the planet sea A knowledgeable overview of marine architectures from both the Pacific and Atlantic regions Discusses the seascape as a fluid studio for visual artists

Object detection is a basic visual identification problem in computer vision that has been explored extensively over the years. Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies based on deep learning have been intensively investigated in recent years as a result of the remarkable success of deep learning-based image categorization. In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends. The book focuses primarily on step-by-step discussion, an extensive literature review, detailed analysis and discussion, and rigorous experimentation results. Furthermore, a practical approach is displayed and encouraged.

Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development

Master Process Control Hands On, through Updated Practical Examples and MATLAB® Simulations Process Control: Modeling, Design, and Simulation, Second Edition, is a complete introduction to process control and has been fully updated, integrating current software tools to enable professionals and students to master critical techniques hands on through simulations based on modern versions of MATLAB. This revised edition teaches the field's most important techniques, behaviors, and control problems with even more practical examples and exercises. Wide-ranging enhancements include safety considerations, an expanded discussion of digital control, additional process examples, and updates throughout for newer versions of MATLAB and SIMULINK. Fundamentals of process control and instrumentation, including objectives, variables, block diagrams, and process flowsheets Methodologies for developing dynamic models of chemical processes, including compartmental models Dynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and more Empirical and discrete-time models, including relationships among types of discrete models Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhanced disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC), with a new discrete state-space model derivation exercise Bequette walks step by step through developing control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. This edition also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve many key control problems, including new modules on process monitoring and safety, as well as a detailed new study of artificial pancreas systems for Type 1 diabetes. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Discusses automotive manufacturing processes in a comprehensive manner with the help of applications. Provides case studies addressing issues in the automotive industry and manufacturing operations in the production of vehicles. Discussion on material properties while laying emphasis on the materials and processing parameters. Covers applications and case studies of the automotive industry.

Multifunctional Nanocomposites for Targeted Drug Delivery in Cancer Therapy explores the design, synthesis, and application of different multifunctional nanocomposites drug delivery system for cancer treatment. It encompasses initial chapters discussing introductory information about cancer, followed by chapters focusing on the detailed information about various novel drug delivery systems for treatment of several organ site cancers such as prostate, skin, breast, lung, liver, pancreas, stomach, colon, blood, mouth and throat. It is a valuable resource for cancer researchers, oncologists, graduate students, and members of biomedical research who need to understand more about novel nanotechnologies applied to cancer treatment.

An Introduction to Numerical Methods: A MATLAB® Approach, Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications, using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data. Features: Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Ideal as an undergraduate textbook for numerical analysis Presents numerous examples and exercises, with selected answers provided at the back of the book Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/ 9781032406824

Talking about Journalism focuses on the relationship between journalism and the public and engages with this as a specific boundary-pushing relationship, where the ways we think about journalism are constantly being defined and re-defined through the ways we publicly discuss what journalism is, and what it does. It focuses, conceptually, on journalistic metadiscourse. These discourses of ‘journalists talking about journalism’ within news content serve as a way of publicly constructing meaning about journalism in our societies, what it should do, and how it corrects itself when it goes astray. The statement of purpose for this book will outline how thinking about metadiscourses allows us to see journalism being defined ‘in the open’, through the ways journalists and members of the public talk about journalism, and how this has developed over time. However, it does so in a way that reconsiders the parameters of this conversation. Where previously this was a discourse found in newspaper media columns, trade magazines, and similar spaces, it is now pervasive online, within digital alternative media, and in (hyper)active audience forums and comment sections. These expand our opportunities for understanding how journalism is being defined in the spaces where it is talked about, and for seeing the relationship between journalism, the public, and various counter-publics play out. This title explores new frontiers in terms of where and how journalism is being defined and redefined, not only by journalists but by the public as well. It does so while bringing forward theories of publics and counterpublics for our digital age.

This reference text presents the important components for grasping the potential of social computing with an emphasis on concerns, challenges, and benefits of the social platform in depth. Features: Detailed discussion on social-cyber issues, including hate speech, cyberbullying, and others. Discusses usefulness of social platforms for societal needs Includes framework to address the social issues with their implementations. Covers fake news and rumor detection models Describes sentimental analysis of social posts with advanced learning techniques. The book is ideal for undergraduate, postgraduate, and research students who want to learn about the issues, challenges, and solutions of social platforms in depth.

Depicts real-life scenarios in allocation problems; Use of software such as LINGO, MATLAB to develop new algorithmic techniques; Relevant due to uncertain behaviour of the market as a consequence of COVID-19 pandemic.

Focuses on several core aspects of Industry 4.0 on computer vision & imaging. Highlights several exciting techniques for disease prediction, NLP, image captioning, flood level assessment, crop classifications, and fabrication of smart wheelchairs. Covers several chapters on Natural Language Processing (NLP), focusing on Bangla language. Chapters presented in a step-by-step manner so that young minds can understand and implement easily.

Analyses of specific, animated films with timecodes give concrete lessons with pinpointed examples: Flee, Soul, Porco Rosso, and The Triplets of Belleville. Makes acting theory simple and straightforward for non-expert animation professionals and students. An updated online database of Ed’s previous film analyses, all in one place.

This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management.

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.