This book offers an in-depth academic discourse on the convergence of AI, digital platforms, and popular culture, in order to understand the ways in which the platform and cultural industries have reshaped and developed AI-driven algorithmic cultural production and consumption. At a time of fundamental change for the media and cultural industries, driven by the emergence of big data, algorithms, and AI, the book examines how media ecology and popular culture are evolving to serve the needs of both media and cultural industries and consumers. The analysis documents global governments’ rapid development of AI-relevant policies and identifies key policy issues; examines the ways in which cultural industries firms utilize AI and algorithms to advance the new forms of cultural production and distribution; investigates change in cultural consumption by analyzing the ways in which AI, algorithms, and digital platforms reshape people’s consumption habits; and examines whether governments and corporations have advanced reliable public and corporate policies and ethical codes to secure socio-economic equality. Offering a unique perspective on this timely and vital issue, this book will be of interest to scholars and students in media studies, communication studies, anthropology, globalization studies, sociology, cultural studies, Asian studies, and science and technology studies (STS).
War has long been a defining feature of human history, shaping societies, economies, and the lives of individuals in profound and lasting ways. It is a complex and multifaceted phenomenon encompassing not only armed conflict between nations but also internal conflicts, civil wars, and insurgencies. The impact of war extends far beyond the battlefield, affecting every aspect of human existence and leaving a lasting imprint on generations to come. At its core, war represents a breakdown of diplomacy and a resort to violence as a means to resolve of resolving conflicts. It arises from various causes, from territorial disputes and ideological differences to competition for resources and power. Throughout history, wars have been fought for land, religion, independence, political ideologies, and countless other motivations. Regardless of the reasons behind them, the consequences of war are far-reaching and profound. One of the most devastating impacts of war is the loss of human life. Countless soldiers and civilians have perished on the battlefield, leaving behind grieving families and shattered communities. Unfathomable suffering caused by violence, displacement, and the destruction of people's homes and livelihoods is a common feature of the horrors of war. The cost to survivors' physical and mental health is tremendous, and they frequently deal with trauma, impairments, and lasting psychological scars. Beyond the immediate casualties, war can also have long-term consequences on societies and economies. Infrastructure is decimated, leaving communities without access to essential healthcare, education, and clean water. Economic systems collapse as resources are diverted to support military efforts, leading to poverty, unemployment, and widespread instability. The displacement of populations and the disruption of social structures further exacerbate these challenges, creating a cycle of hardship and dependency that can persist for generations. Moreover, the impact of war extends beyond borders, with neighbouring countries often being drawn into the conflict or experiencing its ripple effects. The global community also feels the repercussions of war through the displacement of refugees, the strain on humanitarian resources, and the potential for international tensions and escalations. In an interconnected world, no country is truly isolated from the consequences of war, underscoring the urgent need for diplomacy, conflict resolution, and the prevention of armed conflicts. Understanding the impact of war requires examining both its immediate and long-term effects. It necessitates a comprehensive analysis of armed conflict's social, economic, political, and psychological dimensions. We can gain insights into war's causes, dynamics, and consequences through historical studies, firsthand accounts, and scholarly research. Such knowledge can help inform policies and strategies to mitigate the impact of war, promote peace, and foster reconciliation in the aftermath of conflict. In exploring the impact of war, we will delve into various aspects, ranging from the human cost and humanitarian consequences to the economic aftermath and the challenges of post-war reconstruction. We will examine case studies from different historical periods and geographical regions, shedding light on the diverse experiences and lessons learned from conflicts worldwide. By grappling with the complexities of war, we aim to foster a deeper understanding of its effects and contribute to the ongoing discourse on peacebuilding and conflict resolution.
This book reveals the power of digital twin technologies in terms of optimizing the performance and maintenance of infrastructure assets. From roads, bridges, and tunnels to airports and smart cities, it will guide you through the latest advances in and use cases on this cutting-edge technology. You will come to understand the challenges involved in the development of digital twins and learn about the initiatives and projects underway to overcome them. Explore the potential of this technology in terms of reducing costs, improving system performance, and enhancing the overall infrastructure experience for users. Get ready to embark on a journey of understanding the future of transportation infrastructure management with digital twin technologies.
Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success.
America gets more diverse than ever before, and it is our responsibility to respect this diversity before us. Although many people claim that diversity matters, there are so many marginalized people who have not been heard yet. Korean-speaking young people are one of them. They have been marginalized not only by the main culture but also by their own community. This study illuminates this hidden population and their stories as emerging adults with socially, emotionally, and spiritually unstable status. With a practical theology approach, this study provides not only about who are the Korean-speaking young adults but also what is the current praxis and how the immigrant community can have different imaginations about their future with these young people. Including data gathered survey and in-depth interviews, Ignored is the first comprehensive study that addresses Korean-speaking young people. By sharing unheard stories, this book invites us to understand our diverse community. Furthermore, this book brings new imagination of listening others who have been ignored.
This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle.The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases.
This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis; Presents the design of a changepoint-based anomaly detector; Includes Hierarchical Symbol-based Health-Status Analysis; Describes an iterative, self-learning procedure for assessing the health status.
This book introduces systematically the eigenfunction method, a new approach to the group representation theory which was developed by the authors in the 1970's and 1980's in accordance with the concept and method used in quantum mechanics. It covers the applications of the group theory in various branches of physics and quantum chemistry, especially nuclear and molecular physics. Extensive tables and computational methods are presented.Group Representation Theory for Physicists may serve as a handbook for researchers doing group theory calculations. It is also a good reference book and textbook for undergraduate and graduate students who intend to use group theory in their future research careers.
In the new world of hybrid work and AI, one thing is clear: the war for talent is over—and talent won. With sparsely populated offices and people working from wherever they are, and with AI emerging everywhere in business and dominating headlines, our work lives have undergone a remarkable transformation, seemingly overnight. But the reality is that for years the ever-growing digital wave has been breaking down organizational boundaries and increasing the adoption of open innovation, including the use of crowdsourcing platforms as a talent solution. Now the imperative is clear: adapt to and leverage this new, digitally enabled world of "open talent"—or get left behind. In this eye-opening, essential guidebook, John Winsor and Jin Paik, with their work at the Laboratory for Innovation Science at Harvard, show how the massive reset of the pandemic allowed talented workers everywhere to exit their jobs without leaving the workforce. Now many are freelancing for multiple companies or are starting small businesses, challenging hiring managers as never before amidst a transformed workforce. What's more, talent has more power than ever using platforms such as Freelancer.com, Fiverr, and Upwork, setting their own terms for work: what, where, when, and at what price. How can companies adapt? The key, the authors argue, is shifting to a more distributed idea and structure of collaborative work. The authors call this a networked organization, where talent is culled from both inside and outside the organization and viewed through a single lens—as a global ecosystem that can be tapped as needed. With rich stories, keen insights, and an abundance of practical advice, Winsor and Paik provide a new framework and operating model for transforming your organization into a talent-orchestrating, problem-solving machine.
A Selection of Image Processing Techniques: From Fundamentals to Research Front focuses on seven commonly used image-processing techniques. These are de-noising, de-blurring, repairing, de-fogging, reconstruction from projection, watermarking, and super-resolution. This book is suitable for readers who do not have a complete foundation in the principles of image technology but need to use image techniques to solve specific tasks in particular applications. Hence, elementary knowledge for further study is provided, allowing the reader to discover suitable techniques for solving practical problems and to learn the latest developments in a specific domain. This book offers readers a three-step strategy toward problem solving: first, essential principles, then, a detailed explanation, and finally, a discussion of practical and working techniques for specific tasks. Throughout, the author highlights materials pertaining to the newest developments and trends of the technologies.
Plant virus disease is a worldwide threat to agriculture. Environment-Friendly Antiviral Agents for Plants systematically describes the basic theory, new ideas, and new methods to discover novel antiviral agents through research on plant immune activation. The cutting-edge research methodology, technology and progress on novel antiviral agent innovation are systematically described. With abundant illustrations and figures, the book is intended for researchers and practitioners in the fields of pesticide science, plant protection, organic chemistry, fine chemicals, applied chemistry, environment chemistry and agriculture science. Dr. Baoan Song and Dr. Song Yang are professors at the Center for R&D of Fine Chemicals, Guizhou University, China; Mr. Linhong Jin and Dr. Pinaki S. Bhadury are associate professors there.
The twentieth century was a dynamic period for the theatrical arts in China. Booming urban theatres, the interaction between commercial practice and theatre, dramas staged during the War of Resistance against Japan and a healthy dialogue between Western and Eastern theatres all contributed to the momentousness of this period. The four volumes of A History of Chinese Theatre in the 20th Century display the developmental trajectories of Chinese theatre over those hundred years. This volume examines national policies developed for the culture industry and practice of Chinese theatre from 1949 to the period of "the Great Leap Forward". The author highlights the tension between the new nation’s principle of "letting one hundred flowers bloom" and the theatrical industry as a tool for ideological propaganda. He argues that the transition from war-time conditions to the new social structure of peace time was far from thorough and stable. Scholars and students in the history of the arts, especially the history of Chinese theatre, will find this book to be an essential guide.
Are humans hard-wired to make good decisions about managing their privacy in an increasingly public world? Or are we helpless victims of surveillance through our use of invasive digital media? Exploring the chasm between the tyranny of surveillance and the ideal of privacy, this book traces the origins of personal data collection in digital technologies including artificial intelligence (AI) embedded in social network sites, search engines, mobile apps, the web, and email. The Future of Digital Surveillance argues against a technologically deterministic view—digital technologies by nature do not cause surveillance. Instead, the shaping of surveillance technologies is embedded in a complex set of individual psychology, institutional behaviors, and policy principles.
This book constitutes the refereed proceedings of the 4th International Conference on Theory and Applications of Models of Computation, TAMC 2007, held in Shanghai, China in May 2007. It addresses all major areas in computer science; mathematics, especially logic; and the physical sciences, particularly with regard to computation and computability theory. The papers particularly focus on algorithms, complexity and computability theory.
Ye Nian'er would never have thought that he was just going to ask for a favor from his uncle. He was actually being pestered by the tyrannical president, and he wanted her to be his wife. Do you think she's stupid? She hadn't even been in a relationship before, what kind of wife was she! "Hey, Ye Nian'er, if you dare to run, the Ye family will be finished." Jian Qi Ye shouted domineeringly and resolutely towards the figure that was walking out of the door. ... .... "Alright ..." He had won. Ye Nian'er angrily threw down the luggage in her hands and returned to her room.
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.
b”Collagen-Derived MaterialsComprehensive Resource for Current Ideas and Strategies for the Synthesis and Characterization of Advanced Collagen-Derived Materials This book presents and summarizes new synthetic strategies and multi-functional applications of collagen-derived materials in electrochemical energy storage and conversion. Through easily-comprehensible illustrations and images, the book presents basic knowledge for collagen-derived materials (including gelatin and collagen-derived carbons) and their typical synthesis and applications, thus enabling students and new researchers to obtain a thorough understanding of different materials and corresponding application areas. This book also serves as an important reference book for scientists and engineers in different research fields. It presents the up-to-date ideas and strategies for the synthesis and characterization of advanced collagen-derived materials, as well as multi-functional applications (especially in energy-related areas). Sample topics covered within the book include: Structural compositions, properties, and extraction of collagen and gelatin Precursors, structural compositions, and synthesis of collagen-derived carbons Applications of collagen-derived materials in electrochemical energy storage and conversion Applications of collagen-derived materials as electrode and supporting materials in the electrochemical energy storage and conversion systems, including capacitors, batteries, and electrocatalysts Challenges and opportunities for the design and synthesis of different collagen-derived materials For electrochemists, materials scientists, chemical engineers and students in related programs of study who are interested in the topic of collagen-derived materials, Collagen-Derived Materials: Synthesis and Applications in Electrochemical Energy Storage and Conversion serves as an important resource for gaining a holistic understanding of the field and learning about the state of the art based on promising energy-related applications.
Inverse problems arise in practical applications whenever one needs to deduce unknowns from observables. This monograph is a valuable contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse problems are discussed in detail. The mathematical theory focuses on nonsmooth Tikhonov regularization for linear and nonlinear inverse problems. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian inference.The book offers a comprehensive treatment of modern techniques, and seamlessly blends regularization theory with computational methods, which is essential for developing accurate and efficient inversion algorithms for many practical inverse problems.It demonstrates many current developments in the field of computational inversion, such as value function calculus, augmented Tikhonov regularization, multi-parameter Tikhonov regularization, semismooth Newton method, direct sampling method, uncertainty quantification and approximate Bayesian inference. It is written for graduate students and researchers in mathematics, natural science and engineering.
Over the past 30 years, exciting developments in diverse areas of the theory of Lie algebras and their representations have been observed. The symposium covered topics such as Lie algebras and combinatorics, crystal bases for quantum groups, quantum groups and solvable lattice models, and modular and infinite-dimensional Lie algebras. In this volume, readers will find several excellent expository articles and research papers containing many significant new results in this area.
A comprehensive and critical introduction to understanding the Korean Wave (Hallyu) as a transnational media phenomenon. This book provides an accessible introduction to the Korean Wave—the rapid growth of local cultural industries and the global popularity of Korean popular culture over the past 30 years—providing historical, political, economic, and socio-cultural context to its initial rise and enduring popularity. Jin explores the transnational cultural flows of Hallyu across a variety of products and digital technologies—from television dramas, film, and K-pop to online games, and webtoons—and explains the process of cross-media convergence and the socio-political contexts behind the Hallyu phenomenon. He also explores how overseas fans and audiences advance K-pop fandom as social agents in different geo-cultural contexts. The book concludes by discussing if Hallyu can become a sustainable global popular culture beyond a fan-based regional cultural phenomenon. Each chapter features detailed contemporary case studies and discussion questions to enhance student engagement. This is essential reading for students of Media and Communication, Cultural Studies, Korean Studies, and Asian Studies, particularly those taking classes on popular culture and media, media and globalization, Korean popular culture, and East Asian culture.
This book provides an in-depth examination of recent research advances in cloud-edge-end computing, covering theory, technologies, architectures, methods, applications, and future research directions. It aims to present state-of-the-art models and optimization methods for fusing and integrating clouds, edges, and devices. Cloud-edge-end computing provides users with low-latency, high-reliability, and cost-effective services through the fusion and integration of clouds, edges, and devices. As a result, it is now widely used in various application scenarios. The book introduces the background and fundamental concepts of clouds, edges, and devices, and details the evolution, concepts, enabling technologies, architectures, and implementations of cloud-edge-end computing. It also examines different types of cloud-edge-end orchestrated systems and applications and discusses advanced performance modeling approaches, as well as the latest research on offloading and scheduling policies. It also covers resource management methods for optimizing application performance on cloud-edge-end orchestrated systems. The intended readers of this book are researchers, undergraduate and graduate students, and engineers interested in cloud computing, edge computing, and the Internet of Things. The knowledge of this book will enrich our readers to be at the forefront of cloud-edge-end computing.
Neuronale Netze haben sich in vielen Bereichen der Informatik und künstlichen Intelligenz, der Robotik, Prozeßsteuerung und Entscheidungsfindung bewährt. Um solche Netze für immer komplexere Aufgaben entwickeln zu können, benötigen Sie solide Kenntnisse der Theorie statischer und dynamischer neuronaler Netze. Aneignen können Sie sie sich mit diesem Lehrbuch! Alle theoretischen Konzepte sind in anschaulicher Weise mit praktischen Anwendungen verknüpft. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen.
The second of live volumes planned to give a systematic account of Japanese literature from its beginnings to the death of the modern novelist Mishima, this book establishes the character of the literature of the early Middle Ages, from the ninth to the mid-twelfth century. Originally published in 1986. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
This book chiefly presents a novel approach referred to as backward fuzzy rule interpolation and extrapolation (BFRI). BFRI allows observations that directly relate to the conclusion to be inferred or interpolated from other antecedents and conclusions. Based on the scale and move transformation interpolation, this approach supports both interpolation and extrapolation, which involve multiple hierarchical intertwined fuzzy rules, each with multiple antecedents. As such, it offers a means of broadening the applications of fuzzy rule interpolation and fuzzy inference. The book deals with the general situation, in which there may be more than one antecedent value missing for a given problem. Two techniques, termed the parametric approach and feedback approach, are proposed in an attempt to perform backward interpolation with multiple missing antecedent values. In addition, to further enhance the versatility and potential of BFRI, the backward fuzzy interpolation method is extended to support α-cut based interpolation by employing a fuzzy interpolation mechanism for multi-dimensional input spaces (IMUL). Finally, from an integrated application analysis perspective, experimental studies based upon a real-world scenario of terrorism risk assessment are provided in order to demonstrate the potential and efficacy of the hierarchical fuzzy rule interpolation methodology.
Machine learning algorithms allow computers to learn without being explicitly programmed. Their application is now spreading to highly sophisticated tasks across multiple domains, such as medical diagnostics or fully autonomous vehicles. While this development holds great potential, it also raises new safety concerns, as machine learning has many specificities that make its behaviour prediction and assessment very different from that for explicitly programmed software systems. This book addresses the main safety concerns with regard to machine learning, including its susceptibility to environmental noise and adversarial attacks. Such vulnerabilities have become a major roadblock to the deployment of machine learning in safety-critical applications. The book presents up-to-date techniques for adversarial attacks, which are used to assess the vulnerabilities of machine learning models; formal verification, which is used to determine if a trained machine learning model is free of vulnerabilities; and adversarial training, which is used to enhance the training process and reduce vulnerabilities. The book aims to improve readers’ awareness of the potential safety issues regarding machine learning models. In addition, it includes up-to-date techniques for dealing with these issues, equipping readers with not only technical knowledge but also hands-on practical skills.
Provides extensive and thoroughly exhaustive coverage of precision laser spectroscopy Presents chapters written by recognized experts in their individual fields Topics covered include cold atoms, cold molecules, methods and techniques for production of cold molecules, optical frequency standards based on trapped single ions, etc Applicable for researchers and graduate students of optical physics and precision laser spectroscopy
This book, which is split into two parts, is about Prof. Zhidong Bai's life and his contributions to statistics and probability. The first part contains an interview with Zhidong Bai conducted by Dr Atanu Biswas from the Indian Statistical Institute, and seven short articles detailing Bai's contributions. The second part is a collection of his selected seminal papers in the areas of random matrix theory, Edgeworth expansion, M-estimation, model selection, adaptive design in clinical trials, applied probability in algorithms, small area estimation, and time series, among others. This book provides an easy access to Zhidong Bai's important works, and serves as a useful reference for researchers who are working in the relevant areas.
Webtoons—a form of comic that are typically published digitally in chapter form—are the latest manifestation of the Korean Wave of popular culture that has increasingly caught on across the globe, especially among youth. Originally distributed via the Internet, they are now increasingly distributed through smartphones to ravenous readers in Korea and around the world. The rise of webtoons has fundamentally altered the Korean cultural market due to the growth of transmedia storytelling—the flow of a story from the original text to various other media platforms, such as films, television, and digital games—and the convergence of cultural content and digital technologies. Fans can enjoy this content anytime and anywhere, either purely as webtoons or as webtoon-based big-screen culture. Understanding Korean Webtoon Culture analyzes webtoons through the lens of emerging digital cultures and discusses relevant cultural perspectives by combining two different, yet connected approaches, political economy and cultural studies. The book demonstrates the dynamics between structural forces and textual engagement in global media flows, and it illuminates snack-culture and binge-reading as two new forms of digital culture that webtoon platforms capitalize on to capture people’s shifting media consumption.
The key for lasting competitive advantage lies in embracing innovation as a core value and managing it effectively. Innovation Management provides a comprehensive overview of innovation theory and a framework for implementation, intended for business school students of Innovation Management, managers, and practitioners alike. In this new text, authors Jin Chen and Gang Zheng examine innovation from the perspectives of strategy, internal processes, resource management, and organizational culture. Numerous case studies, illustrating both successes and failures in innovation, include Tesla, P&G, Apple, Uber, Google, NVIDIA, Haier Group, Motorola, and Nokia. Staring from a systematic introduction to the types, process and models of innovation, the authors present a strategical management framework that includes models for indigenous innovation, total innovation, open innovation and holistic innovation. They outline the key roles played by management of capital, information and knowledge systems, human resources, and IP rights. Organizational systems that are designed to stimulate innovation within the corporation are detailed, and finally the authors examine the future of innovation management, focusing the need for sustainable innovation that recognized the importance of environmental and ecological concerns.
Linear algebra continues to be one of the most useful courses in undergraduate mathematics, science and engineering, and one of the essential tools for industrial scientists. The primary aim of this book is to give a clear and rigorous presentation of the basic concepts of linear algebra as a coherent part of mathematics. At the same time, by emphasizing computational skills along with mathematical abstractions, the authors illustrate linear algebra's power and usefulness in its applications to such other disciplines as physics, computer science, and economics. The book contains many important examples, explanations and problems right in the middle of the text. The thoroughness, rigor and challenge of the presentation make this text a strong mathematical first course for well prepared and motivated students or an excellent second course in the theory and applications of linear algebra.
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