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Proceedings of International Conference on Image, Vision and Intelligent Systems 2023 (Lecture Notes in Electrical Engineering #1163)
by Peng You Shuaiqi Liu Jun WangThis book constitutes the refereed proceedings of ICIVIS2023, held in Baoding, China, in August 2023. The papers included in the proceedings have been carefully reviewed and selected from the submitted manuscripts in the areas of image, vision and intelligent systems. This book provides a reference for theoretical innovative problems as well as recent practical solutions and applications for the state-of-the-art results in image, vision and intelligent systems. The intended audience of the book includes researchers, professors, experts, practitioners and professionals in the field of image, vision and intelligent systems worldwide.
Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20–22, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14490)
by Zahir Tari Keqiu Li Hongyi WuThe 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October, 2023.The 145 full papers included in this book were carefully reviewed and selected from 439 submissions. ICA3PP covers the many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.
Algorithms and Architectures for Parallel Processing: 23rd International Conference, ICA3PP 2023, Tianjin, China, October 20–22, 2023, Proceedings, Part VII (Lecture Notes in Computer Science #14493)
by Zahir Tari Keqiu Li Hongyi WuThe 7-volume set LNCS 14487-14493 constitutes the proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2023, which took place in Tianjin, China, during October, 2023.The 145 full papers included in this book were carefully reviewed and selected from 439 submissions. ICA3PP covers the many dimensions of parallel algorithms and architectures; encompassing fundamental theoretical approaches; practical experimental projects; and commercial components and systems.
BRST Symmetry and de Rham Cohomology
by Soon-Tae HongThis book provides an advanced introduction to extended theories of quantum field theory and algebraic topology, including Hamiltonian quantization associated with some geometrical constraints, symplectic embedding and Hamilton-Jacobi quantization and Becchi-Rouet-Stora-Tyutin (BRST) symmetry, as well as de Rham cohomology. This extended new edition offers a multifaced insight into phenomenology of particles such as baryons and photons, in terms of extended objects. In particular, in the second edition, the baryons are described in hypersphere soliton model, and the photon properties are additionally included in stringy photon model and in Dirac type relativistic quantum mechanics for a photon.It offers a critical overview of the research in this area and unifies the existing literatures, employing a consistent notation. Although the results presented apply in principle to all alternative quantization schemes, special emphasis is placed on the BRST quantization and its de Rham cohomology group which contribute to a deep understanding of constrained physical theories. The book describes how solitons and other models subject to constraints include rigorous treatments of the geometrical constraints which affect the predictions themselves. The book is intended for use by any graduate-level student with quantum field and relativity theories, and it also serves as a useful reference for those working in the field. An extensive bibliography guides the reader toward the source literature on particular topics.
Cooperative Control of Multi-agent Systems: A Hybrid System Approach
by Guanglei Zhao Hailong Cui Changchun Hua Shuang LiuThis book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc.
Shrinking Japan and Regional Variations: Along the Sannyodo (SpringerBriefs in Population Studies)
by Fumie KumagaiTaking the Goki-Shichido (Five Home Provinces and Seven Circuits of Ancient Japan) as a theoretical framework, this book examines shrinking Japan from a regional variation perspective by municipality along the ancient Sannyodo, which comprises eight provinces and four prefectures today. The book identifies the principal explanatory factors based on the small area data of e-Stat through GPS statistical software tools such as G-census and EvaCva, within a historical perspective. This historical knowledge helps in understanding the significance of the regional cultural heritage that remains in each municipality today. The book pays special attention to municipal variations within the same prefecture, presenting a completely unique approach from what other researchers have pursued.This book studies two present-day prefectures along the ancient Sannyodo for detailed analyses of the impacts of regional variations of population decline in Japan. They are Hiroshima Prefecture, made up of the former Bingo and Aki provinces, and Yamaguchi Prefecture, formed by the ancient provinces of Suo and Nagato. The reasons for selecting these two prefectures of ancient Sannyodo are twofold. First, they are made up of a multiple number of the ancient provinces. Second, other prefectures that fall under the Sannyodo have been studied in the previous works of the present author by adopting the same methods of analyses. Thus, by presenting unique analyses of regional variations on small municipal levels in Hiroshima and Yamaguchi prefectures along the Sannyodo, this book offers suggestions for effective regional policy to revitalize shrinking Japan to a sustainable one.
High Performance Computing in Biomimetics: Modeling, Architecture and Applications (Series in BioEngineering)
by Kamarul Arifin Ahmad Nor Asilah Wati Abdul Hamid Mohammad Jawaid Tabrej Khan Balbir SinghThis book gives a complete overview of current developments in the implementation of high performance computing (HPC) in various biomimetic technologies. The book presents various topics that are subdivided into the following parts: A) biomimetic models and mechanics; B) locomotion and computational methods; C) distributed computing and its evolution; D) distributed and parallel computing architecture; E) high performance computing and biomimetics; F) big data, management, and visualization; and G) future of high performance computing in biomimetics. This book presents diverse computational technologies to model and replicate biologically inspired design for the purpose of solving complex human problems. The content of this book is presented in a simple and lucid style which can also be used by professionals, non-professionals, scientists, and students who are interested in the research area of high performance computing applications in the development of biomimetics technologies.
Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)
by Jingjing Li Lei Zhu Zhekai DuUnsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art UDA methods and explores new variants of UDA that have the potential to advance the field. The book begins with a clear introduction to the UDA problem and is mainly organized into four technical sections, each focused on a specific piece of UDA research. The first section covers criterion optimization-based UDA, which aims to learn domain-invariant representations by minimizing the discrepancy between source and target domains. The second section discusses bi-classifier adversarial learning-based UDA, which creatively leverages adversarial learning by conducting a minimax game between the feature extractor and two task classifiers. The third section introduces source-free UDA, a novel UDA setting that does not require any raw data from the source domain. The fourth section presents active learning for UDA, which combines domain adaptation and active learning to reduce the amount of labeled data needed for adaptation. This book is suitable for researchers, graduate students, and practitioners who are interested in UDA and its applications in various fields, primarily in computer vision. The chapters are authored by leading experts in the field and provide a comprehensive and in-depth analysis of the current UDA methods and new directions for future research. With its broad coverage and cutting-edge research, this book is a valuable resource for anyone looking to advance their knowledge of UDA.
Global Flow of Funds Analysis: Data, Models, and Applications
by Nan Zhang Yiye ZhangThis book is the first to focus on the global flow of funds (GFF), providing an introduction to its fundamental concepts and establishing a theoretical framework for analysis. It connects the flow of funds within domestic economies to that of the rest of the world, offering a comprehensive analysis of GFF dynamics. This study enhances GFF statistics, enabling the assessment of global financial stability from both national and cross-border sectoral perspectives. The GFF data provide valuable insights into analyzing interconnectivity across borders and an understanding of global financial interdependencies. By examining the data sources and reconstructing the statistical framework to establish the GFF statistical matrix, this book conducts a case study to evaluate financial risks and influences in G20 countries. Subsequently, it connects the GFF matrix with sectoral account data and the flow of funds to establish the sectoral from-whom-to-whom financial stock matrix (SFSM). The SFSM aims to establish a new framework for conducting multi-country, multi-sector analysis within the G20, with a special emphasis on examining the national and cross-border exposures of sectors in China, Japan, and the USA. This involves constructing country-specific financial networks and connecting them based on cross-border exposures. The systematic analysis results effectively showcase the financial interconnections among G20 countries within the GFF and shed light on the attributes of external shocks and internal influences. The focus is particularly on the changes in risk exposure between China and the USA concerning their external assets and liabilities and the implications of economic decoupling of these dynamics.
Next-Generation Cybersecurity: AI, ML, and Blockchain (Blockchain Technologies)
by Keshav Kaushik Ishu SharmaThis book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depthexamination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integrationof AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
Artificial Intelligence and Machine Learning: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2058)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Data Science and Information Security: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2059)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Computer Networks and IoT: First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part III (Communications in Computer and Information Science #2060)
by Hai Jin Yi Pan Jianfeng LuThis 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Nachhaltigkeit und Lebensqualität: Durch schlanke, grüne und saubere Konzepte
by K. MuralidharanDieses Buch soll die Leser für das Thema Nachhaltigkeit sensibilisieren und sie ermutigen, die Bedeutung von „lean, green and clean“ (LGC) für den Alltag zu verstehen. Die Notwendigkeit von auf Messungen basierten Auswertungen, statistische Signifikanz bei Materialverbrauch und Energie werden erörtert. Das Buch konzentriert sich auf die Bedeutung von Fragen des Klimawandels und Umweltbelangen im Zusammenhang mit schlanker Produktion und Fertigung. Der Schwerpunkt liegt auf dem Verständnis und der Anwendung von Qualitätskonzepten durch Projektmanagement und messbasierte Bewertungsmethoden. Dieses Buch richtet sich an ein breites Publikum, darunter Studierende, Lehrkräfte, Qualitätsfachleute, Unternehmensberater, Lean- und Six-Sigma-Praktiker, und ist für sie von großem Nutzen.Die Übersetzung wurde mit Hilfe von künstlicher Intelligenz durchgeführt. Eine anschließende menschliche Überarbeitung erfolgte vor allem in Bezug auf den Inhalt.
Evolutionary Economics (Springer Texts in Business and Economics)
by Yuji ArukaThis textbook presents a new way to visualize or imagine the evolutionary architecture of economics, to judge both its practical outcomes and its ultimate value. Evolutionary economics employs an Aristotelian architecture. The cognitive value of this imagination[H1] must be directly relevant to the evolutionary theory and practice of designing the architecture of the economic system. Mainstream economics completely ignores design value in order to concentrate on the ideal, Platonic vision of the economy. The current system is no longer one that converges on a constant entity, because the system is constantly evolving. The advent of the digital economy is an indispensable next step, and computational power and algorithmic rationality are increasingly dominating the economic system—and complicating it. In today’s society, neither fault nor malice matters in the algorithmic or human system. There is little room left for the effective working of human reason. Correspondingly, the meanings of money, exchange, the market system, auctions, production, consumption, and the currency transaction system are poised to change. In most cases, there will be digital counterparts. A smart contract tied together with DLT, for example, makes it possible to design an economically well-behaved peer-to-peer (P2P) system, which ranges from the micromarket to the international currency transaction system. The introduction of this technology and its architectural design may suggest what a truly decentralized future entails. This change may also bring about a new understanding of existing social consensus and practice. Thus, the implementation of these considerations naturally leads to a new style of chapter structuring in this book, from the classical analytical approach to exploring computational methods and digital tools: in many cases, the problems presented in each chapter are combined with discussions of a respective computational method and its practical value.
Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 5–6, 2023, Proceedings (Lecture Notes in Computer Science #14374)
by Jinchang Ren Amir Hussain Iman Yi Liao Rongjun Chen Kaizhu Huang Huimin Zhao Xiaoyong Liu Ping Ma Thomas MaulThis book constitutes the refereed proceedings of the International Conference on Brain Inspired Cognitive Systems, BICS 2023, held in Kuala Lumpur, Malaysia, in August 2023. The 36 full papers included in this book were reviewed and selected from 58 submissions and are organized in thematic sections as follows: Bio-inspired systems and Neural Computation; Image Recognition, Detection and Classification; Vision and Object Tracking; Data Analysis and Machine Learning and Applications.
Internet of Things and Artificial Intelligence for Smart Environments (Internet of Things)
by Hoe Tung Yew Mazlina Mamat Jamal Ahmad Dargham Chung Seng Kheau Ervin Gubin MoungThis book highlights the application of smart technologies that utilize the Internet of Things (IoT) and Artificial Intelligence (AI) to enhance efficiency and productivity across various industries. It provides a comprehensive review of the latest IoT and AI developments, including their applications, opportunities, and challenges in smart environments. This book is a valuable resource for researchers, engineers, academics, and students working on implementing smart technologies.
Indigeneity, Development and Sustainability: Perspectives from Northeast India (Demographic Transformation and Socio-Economic Development #18)
by Anjan Chakrabarti Gorky Chakraborty Anup Shekhar ChakrabortyThis volume presents cutting-edge research on India's Northeast region relating to borders, material mobilities, contested identities, and economic and political dynamics. It offers a comprehensive understanding of the developmental challenges currently faced by Northeast India, including the complexities of the labor market and the neoliberal economy. The book highlights the lived experiences of individuals in varied geographies and perspectives. It is organized into five sections, each addressing the region's old and vexed questions of 'development', and its complicated relationship with indigeneity and sustainability. Contributions from scholars of various disciplines provide an all-inclusive picture of the region, ranging from a macro to a micro level. Interdisciplinary in nature, the book interests a cross-section of academics and graduate students from different disciplines, including sociology, social anthropology, economics, political science, human geography, history, public policy, and development studies.
Computational Optical Imaging: Principle and Technology (Advances in Optics and Optoelectronics)
by Zhengjun Liu Xuyang Zhou Shutian LiuThis book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical imaging and computing technology to achieve significant performance improvements, computational optical imaging has become an active research field in optics. It has given rise to the emerging of new concepts such as computational imaging, computational measurement and computational photography. As high-performance image detectors make image measurements discrete and digital, images are mostly recorded in the form of discrete data, almost replacing the continuous medium used for pattern recording. Computational optical imaging technology has become an effective way for people to study microscopic imaging. At present, different imaging systems are composed of continuous optical elements such as lenses and prisms or discrete optical elements such as spatial light modulators or digital micro-mirror devices. The current computing technology has permeated all aspects of imaging systems and gradually promotes the digitization of optical imaging systems. This book summarizes the representative work done in this field and introduces the latest results. Computing technology plays an important bridging role between theories of optics and experimental systems, which inspires more comprehensive and in-depth research. It has the advantages of high repeatability, flexibility, strong computing power and low cost. In this multidisciplinary field, researchers in computer science, optics and information science have joined together to extend its depth and breadth. Targeting cutting-edge issues to be solved in computational optics, this book introduces a variety of methods that involve theoretical innovations and technical breakthroughs in imaging resolution, the field of view, imaging speed, and computing speed. It intends to provide a handy reference and technical support for graduate students, researchers and professionals engaged in the study and practice of computational optical imaging.
Android Malware Detection and Adversarial Methods
by Xiaosong Zhang Weina Niu Ran Yan Jiacheng GongThe rise of Android malware poses a significant threat to users’ information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.
Multi-Strategy Learning Environment: Proceedings of ICMSLE 2024 (Algorithms for Intelligent Systems)
by Vincenzo Piuri Isidoros Perikos Vrince Vimal Amrit MukherjeeThe book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.
Marketing and Smart Technologies: Proceedings of ICMarkTech 2023, Volume 1 (Smart Innovation, Systems and Technologies #386)
by José Luís Reis José Paulo Marques dos Santos Jiří Zelený Beáta GavurováThis book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2023), held at Faculty of Economics and Management (FEM), Czech University of Life Sciences Prague (CZU), in partnership with University College Prague (UCP), in Prague, Czech Republic, between 30 November and 2 December 2023. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Space Information Networks: 7th International Conference, SINC 2023, Wuhan, China, October 12–13, 2023, Revised Selected Papers (Communications in Computer and Information Science #2057)
by Quan YuThis book constitutes revised selected papers from the thoroughly refereed proceedings of the 7th International Conference on Space Information Network, SINC 2023, held in Wuhan, China, during October 12–13, 2023. The 8 full papers and 5 short papers included in this book were carefully reviewed and selected from 73 submissions. The papers present the latest research in the fields of space information networks.
Gifts to the Sad Country: Essays on the Chinese Diaspora
by Souchou YaoThis book is a study of an ethnic-Chinese family in Malaysia as it struggled with the upheavals in China during the Land Reform (1945-1953) and the Great Leap Forward (1958-1962). Based on fieldwork in Malaysia and in a village in Dabu County, Southern China, it tells a story of a family whose existence straddled two nations, two political systems. Emigration is shown to be both a positive experience and a source of despair. The study redefines the conventional narrative about the Chinese diaspora as economically driven and politically expedient; mobility, personal freedom and transnational journeying were a part of their cultural history. The book highlights the fact that Chinese homeland, even under communist rule, offered the people a means of identification under difficult circumstances. During the time of radical reform, the diaspora adapted themselves to the conditions in the homeland, and for some China remained a place of longing and emotional attachment.
Multiobjective Optimization Algorithms for Bioinformatics
by Ujjwal Maulik Sanghamitra Bandyopadhyay Anirban Mukhopadhyay Sumanta RayThis book provides an updated and in-depth introduction to the application of multiobjective optimization techniques in bioinformatics. In particular, it presents multiobjective solutions to a range of complex real-world bioinformatics problems. The authors first provide a comprehensive yet concise and self-contained introduction to relevant preliminary methodical constructions such as genetic algorithms, multiobjective optimization, data mining and several challenges in the bioinformatics domain. This is followed by several systematic applications of these techniques to real-world bioinformatics problems in the areas of gene expression and network biology. The book also features detailed theoretical and mathematical notes to facilitate reader comprehension. The book offers a valuable asset for a broad range of readers – from undergraduate to postgraduate, and as a textbook or reference work. Researchers and professionals can use the book not only to enrich their knowledge of multiobjective optimization and bioinformatics, but also as a comprehensive reference guide to applying and devising novel methods in bioinformatics and related domains.