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Economics, Social Sciences and Information Management: Proceedings of the 2015 International Congress on Economics, Social Sciences and Information Management (ICESSIM 2015), 28-29 March 2015, Bali, Indonesia
by Ford Lumban Gaol Fonny HutagalungThe 2015 International Congress on Economics, Social Sciences and Information Management (ICESSIM 2015), held 28-29 March 2015 in Bali, Indonesia, aimed to provide a platform for the sharing of valuable knowledge and experience in the context of changing economics and social settings. Information technology has changed many aspects in our life, inc
Economy, Business and Uncertainty: New Ideas for a Euro-Mediterranean Industrial Policy (Studies in Systems, Decision and Control #180)
by Jaime Gil-Lafuente Francesco Carlo Morabito Domenico MarinoThis book presents original research articles addressing various aspects of economics, management and optimization. The topics discussed include economics, finance, marketing, resource allocation strategies, fuzzy logic, and network-based techniques for the analysis of economics, management and mathematical optimization.Combining the input of contributing professors and researchers from various Spanish, Italian and Latin American universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the world of Economics and Management.
Econophysics Approaches to Large-Scale Business Data and Financial Crisis: Proceedings of Tokyo Tech-Hitotsubashi Interdisciplinary Conference + APFA7
by Tsutomu Watanabe Hideki Takayasu Misako TakayasuThe new science of econophysics has arisen out of the information age. As large-scale economic data are being increasingly generated by industries and enterprises worldwide, researchers from fields such as physics, mathematics, and information sciences are becoming involved. The vast number of transactions taking place, both in the financial markets and in the retail sector, is usually studied by economists and management and now by econophysicists. Using cutting-edge tools of computational analysis while searching for regularities and "laws" such as those found in the natural sciences, econophysicists have come up with intriguing results. The ultimate aim is to establish fundamental data collection and analysis techniques that embrace the expertise of a variety of academic disciplines. This book comprises selected papers from the international conference on novel analytical approaches to economic data held in Tokyo in March 2009. The papers include detailed reports on the market behavior during the financial crisis of 2008 and discussions on the mechanism of bubbles and crashes, with proposals for avoiding new crises. Filled with up-to-date research, this book will interest researchers and students, finance professionals, and scholars in diverse fields.
Ecosystems Knowledge: Modeling and Analysis Method for Information and Communication
by Samuel SzonieckyTo analyze complex situations we use everyday analogies that allow us to invest in an unknown domain knowledge we have acquired in a known field. In this work the author proposes a modeling and analysis method that uses the analogy of the ecosystem to embrace the complexity of an area of knowledge. After a history of the ecosystem concept and these derivatives (nature, ecology, environment ) from antiquity to the present, the analysis method based on the modeling of socio-semantic ontologies is presented, followed by practical examples of this approach in the areas of software development, digital humanities, Big Data, and more generally in the area of complex analysis.
Ecosystems Without Borders 2024: Economic Systems and Processes (Lecture Notes in Networks and Systems #1521)
by Ruslan Polyakov Dmitri PletnevThis book presents selected papers from the V International Scientific and Practical Conference &“Ecosystems without Borders&” held at Kaliningrad State Technical University, Kaliningrad, Russia, October 2–3, 2024. Materials of the book &“Ecosystems without Borders: Economic Systems and Processes&” include theoretical and spatial aspects of ecosystems, peculiarities of formation of the creative class in these conditions, as well as studies reflecting the transformation of ecosystems, both in innovative development and in science, technology and business. This book includes articles reflecting the latest scientific trends aimed at realizing the ideas of sustainable development and circular economy. This book is of interest to a wide range of readers, practicing economists, students, graduate students, and researchers, as well as government officials and managers of companies.
Ecosystems Without Borders 2024: Opportunities and Challenges (Lecture Notes in Networks and Systems #1092)
by Ruslan PolyakovThis book is a continuation of a series of presentations given at the III International Conference "Ecosystems Without Borders: Opportunities and Challenges" held at the Kaliningrad State Technical University in September 2023. The book presents research reflecting the transformation of ecosystems in the context of innovative development, science, technology and business. It also considers spatial aspects of ecosystems and the peculiarities of the formation of the creative class in the context of ecosystems. Theoretical articles aimed not only at the realization of the ideas of sustainable development in the economy but also at the realization of the ideas of structural transformation of innovation processes. The book is useful to a wide range of readers: practicing economists, students, graduate students and researchers, as well as government officials and company managers. The authors are confident that this book will serve as an important source of information and knowledge that will contribute to scientific and innovative progress in the field of sustainable development of society.
Ecstatic Worlds: Media, Utopias, Ecologies (Leonardo)
by Janine MarchessaultWhen media translate the world to the world: twentieth-century utopian projects including Edward Steichen's “Family of Man,” Jacques Cousteau's underwater films, and Buckminster Fuller's geoscope.janine
Edexcel Computer Science for GCSE Student Book
by Steve CushingBuild student confidence and ensure successful progress through GCSE Computer Science. Our expert author provides insight and guidance to meet the demands of the new Edexcel specification, with challenging tasks and activities to test the computational skills and knowledge required completing the exams and the non-examined assessment.- Builds students' knowledge and confidence through detailed topic coverage and explanation of key points to match important Edexcel concepts- Develops computational thinking skills with practice exercises and problem-solving tasks- Ensures progression through GCSE with regular assessment questions, that can be developed with supporting Dynamic Learning digital resources- Instils a deeper understanding and awareness of computer science, and its applications and implications in the wider world
Edexcel GCSE Computer Science My Revision Notes 2e
by Steve CushingManage your own revision with step-by-step support from experienced teacher and examiner Steve Cushing. Use specific case studies to improve your knowledge of business processes and topics. Apply terms accurately with the help of definitions and key words.-Plan and pace your revision with the revision planner-Use the expert tips to clarify key points-Avoid making typical mistakes with key expert advice-Test yourself with end-of-topic questions and answers and tick off each topic as you complete it-Get exam ready with last minute quick quizzes at www.hoddereducation.co.uk/myrevisionnotes
Edexcel GCSE Computer Science Student Book
by Steve CushingPublishing in September 2014, Edexcel GCSE Computer Science has been written by Steve Cushing, a well-respected and widely published author for secondary Computing and a former examiner. With Edexcel GCSE Computer Science: Students will have the assurance that all topics in the course are covered comprehensively, with particular support to help them understand the principles of computer science and computational thinking in preparation for the written exam Teachers and students can make use of strategies and advice throughout when choosing appropriate programming languages for both the written and practical units User-friendly and accessible practical examples will help to unpick theoretical topics
Edge AI for Industry 5.0 and Healthcare 5.0 Applications
by Pethuru Raj Mohammed M. Alani B. Sundaravadivazhagan A. Saleem RajaEdge AI is the seamless and spontaneous combination of Edge or Fog computing and AI. It enables acquiring real-time insights, which, in turn, leads to the realization of real-time, people-centric, event-driven, business-critical, process-aware, and knowledge-filled software services and applications.Edge AI for Industry 5.0 and Healthcare 5.0 Applications looks at the unique contributions of Edge AI for developing solutions for Industry 5.0 and Healthcare 5.0. It explains how Industry 5.0 fine tunes the human-machine connection and leverages tiny, high-performance AI-centric processors in IoT edge devices for real-time decision-making and application processing.Focusing on Explainable AI (XAI), the book discusses:· The role of XAI in Healthcare 5.0· Best practices, challenges, and opportunities of applying XAI in healthcare setting· How to enhance transparency and trust of XAI in Healthcare 5.0· XAI and its methods in predicting healthcare outcomesOther highlights of the book include:· 5G communication networks requirements· The fusion of IoT, AI, Edge, Cloud, and blockchain· Trustworthiness of blockchain technology in healthcare 5.0 and Industry 5.0· The future of trust and the potential of blockchain technologyBy explaining how Edge AI can transform healthcare and industry, this book empowers researchers and professionals to envisage and implement sophisticated and smart digital solutions.
Edge AI: Convergence of Edge Computing and Artificial Intelligence
by Dusit Niyato Xu Chen Xiaofei Wang Victor C. Leung Yiwen Han Xueqiang YanAs an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
Edge Analytics: Select Proceedings of 26th International Conference—ADCOM 2020 (Lecture Notes in Electrical Engineering #869)
by Valentina Emilia Balas Sivaji Bandyopadhyay Ripon Patgiri Malaya Dutta BorahThis book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.
Edge Assisted Mobile Visual SLAM
by Yunhao Liu Zheng Yang Jingao Xu Hao CaoIn an age where real-time processing and interaction with the physical world through digital lenses are paramount, visual SLAM technology has become the backbone of mobile AR/VR applications, robotics, and autonomous systems. However, the demanding computational load of visual SLAM often strains the limited resources of mobile devices, hindering performance and accuracy. This is exactly where edge computing comes to the forefront, offering a potent solution by performing data processing at the edge of the network, closer to the source of data. This monograph is a pioneering exploration into how edge computing can elevate visual SLAM systems, overcoming the traditional challenges of computational intensity and resource constraints. Edge computing not only offloads heavy-duty processing from mobile devices to edge servers but also mitigates latency, enhances efficiency, and ensures robust, real-time performance. This monograph unveils the transformative potential of edge-assisted visual SLAM, presenting groundbreaking research and the latest advancements in task decoupling, collaborative mapping, and environmental interaction. This monograph could serve as a scholarly resource for those within the fields of computer vision and mobile computing. It presents a detailed exploration of current research in edge-assisted visual SLAM and anticipates future developments, offering readers a comprehensive understanding of the field's trajectory and its implications for the next generation of mobile applications and autonomous systems.
Edge Computational Intelligence for AI-Enabled IoT Systems (Advances in Computational Collective Intelligence)
by Shrikaant Kulkarni Dinda Pramanta Yuichiro Tanaka Jaiprakash Narain DwivediEdge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems.Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways.The book begins with chapters that cover Edge AI services on offer as compared to conventional systems. These are followed by chapters that discuss security and privacy issues encountered during the implementation and execution of edge AI and computing services The book concludes with chapters looking at applications spread across different areas of edge AI and edge computing and also at the role of computational intelligence in AI-driven IoT systems.
Edge Computing Resilience: Overcoming Resource Constraints in Unstable Computing Environments (SpringerBriefs in Computer Science)
by Liehuang Zhu Yanlong Zhai Muhammad MudassarEdge computing has emerged as a powerful technology for efficiently executing tasks by pushing cloud computing capabilities to the edge of the network. This approach significantly improves the quality of services of IoT applications and greatly enhances the performance of resource-constraint edge devices. However, with the explosive growth in users and data generation, low-computing-capability devices often struggle to meet computation demands in time, posing a significant challenge to the success of edge computing. These challenges include latency requirements, low computational power, system heterogeneity, energy constraints and privacy issues. To address these challenges, it is critical to design robust edge computing systems. This book provides a systematic and comprehensive analysis of edge computing challenges and presents resilient designs and frameworks suitable for real-time edge computing applications. The discussion primarily focuses on overcoming resource constraints in unstable edge computing environments, which is achieved through various concepts and technologies, such as fault handling, optimization and computation offloading. The book is significant to researchers in the field of edge computing, especially in the context of the resource-constrained paradigm, IoT application execution in the edge and fog computing. The book features innovative models and frameworks for processing time-critical, energy-aware and privacy-aware applications. By reading this book, researchers and professionals will gain a deeper understanding of different technologies and frameworks for edge computing and develop an appreciation for edge computing resilience. This resilience makes the edge system robust against frequent system failures for real-time IoT applications. The book provides a foundation for future research in this field and is an essential read for those seeking to advance their knowledge and expertise in edge computing.
Edge Computing Systems with Kubernetes: A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies
by Sergio MendezUnderstand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing systemKey FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook DescriptionEdge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money.In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example.By the end of this book, you will be able to build your own edge computing systems using the content of the chapters as Lego pieces to fit your needs.What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is forThis book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.
Edge Computing and Capability-Oriented Architecture
by Haishi Bai Boris SchollFueled by ubiquitous computing ambitions, the edge is at the center of confluence of many emergent technological trends such as hardware-rooted trust and code integrity, 5G, data privacy and sovereignty, blockchains and distributed ledgers, ubiquitous sensors and drones, autonomous systems and real-time stream processing. Hardware and software pattern maturity have reached a tipping point so that scenarios like smart homes, smart factories, smart buildings, smart cities, smart grids, smart cars, smart highways are in reach of becoming a reality. While there is a great desire to bring born-in-the-cloud patterns and technologies such as zero-downtime software and hardware updates/upgrades to the edge, developers and operators alike face a unique set of challenges due to environmental differences such as resource constraints, network availability and heterogeneity of the environment. The first part of the book discusses various edge computing patterns which the authors have observed, and the reasons why these observations have led them to believe that there is a need for a new architectural paradigm for the new problem domain. Edge computing is examined from the app designer and architect’s perspectives. When they design for edge computing, they need a new design language that can help them to express how capabilities are discovered, delivered and consumed, and how to leverage these capabilities regardless of location and network connectivity. Capability-Oriented Architecture is designed to provide a framework for all of these. This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker. The book covers the broad spectrum of edge environments, their challenges and how you can address them as a developer or an operator. The book concludes with an introduction to a new architectural paradigm called capability-based architecture, which takes into consideration the capabilities provided by an edge environment. .
Edge Computing and IoT: First EAI International Conference, ICECI 2020, Virtual Event, November 6, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #368)
by Hongbo Jiang Hongyi Wu Fanzi ZengThis book constitutes the refereed post-conference proceedings of the First International Conference Edge Computing and IoT, ICECI 2020, held in November 2020 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The rapidly increasing devices and data traffic in the Internet-of-Things (IoT) era are posing significant burdens on the capacity-limited Internet and uncontrollable service delay. The 11 full papers of ICECI 2020 were selected from 79 submissions and present results and ideas in the area of edge computing and IoT.
Edge Computing and IoT: Second EAI International Conference, ICECI 2021, Virtual Event, December 22–23, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #437)
by Yanjiao Chen Lu Wang Kaishun WuThis book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
Edge Computing and IoT: Third EAI International Conference, ICECI 2022, Virtual Event, December 13-14, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #478)
by Ping Zhao Zhu Xiao Xingxia Dai Jinmei ShuThis book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.
Edge Computing – EDGE 2018: Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings (Lecture Notes in Computer Science #10973)
by Bedir Tekinerdogan Liang-Jie Zhang Shijun Liu Mikio AoyamaThis book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2018, held in Seattle, WA, USA, in June 2018. The 9 full papers and 3 short paper presented in this volume were carefully reviewed and selected from 29 submissions. The contributions are organized in topical sections named: Research Track; Application and Industry Track; and Short Paper Track. They deal with the latest fundamental advances in the state of the art and practice of edge computing.
Edge Computing – EDGE 2019: Third International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings (Lecture Notes in Computer Science #11520)
by Tao Zhang Liang-Jie Zhang Jinpeng WeiThis book constitutes the proceedings of the Third International Conference on Edge Computing, EDGE 2019, held in San Diego, CA, USA, in June 2019. The 5 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 14 submissions. The contributions deal with the latest fundamental advances in the state of the art and practice of edge computing, identifying emerging research topics and defining the future of edge computing.
Edge Computing – EDGE 2020: 4th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings (Lecture Notes in Computer Science #12407)
by Liang-Jie Zhang Jinpeng Wei Ajay Katangur Shih-Chun Lin Shuhui YangThis book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. The 7 full and 2 short papers presented in this volume were carefully reviewed and selected from 13 submissions.The conference proceeding EDGE 2020 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.
Edge Computing – EDGE 2021: 5th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10–14, 2021, Proceedings (Lecture Notes in Computer Science #12990)
by Liang-Jie ZhangThis book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2021, held virtually as part of SCF 2021, held as a Virtual Event, December 10–14, 2021. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 18 submissions. The conference proceeding EDGE 2021 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.