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Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 18th IIH-MSP 2022 Kitakyushu, Japan, Volume 1 (Smart Innovation, Systems and Technologies #341)

by Shaowei Weng Chin-Shiuh Shieh George A. Tsihrintzis

This book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 15th International Conference on Frontiers of Information Technology, Applications, and Tools, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.

Proceedings of International Conference on Computational Intelligence and Data Engineering: ICCIDE 2022 (Lecture Notes on Data Engineering and Communications Technologies #163)

by Nabendu Chaki Nagaraju Devarakonda Agostino Cortesi

This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2022). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.

Cognitive Systems and Information Processing: 7th International Conference, ICCSIP 2022, Fuzhou, China, December 17-18, 2022, Revised Selected Papers (Communications in Computer and Information Science #1787)

by Angelo Cangelosi Huaping Liu Fuchun Sun Bin Fang Jianwei Zhang Yuanlong Yu

This book constitutes the refereed proceedings of the 7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022, held in Fuzhou, China, during November 18–20, 2022.The 47 papers included in this book were carefully reviewed and selected from 121 submissions. They were organized in the following topical sections as follows: Award; Algorithm; Application; Manipulation & Control; Hardware and Vision.

Application of Gray System Theory in Fishery Science

by Xinjun Chen

This book reviews the gray system and combines its latest research results in fishery science. The chapters cover the basic concept and theory of gray system, original data processing and gray sequence generation, gray correlation analysis, gray cluster analysis, gray system modeling, gray prediction, gray decision-making, and gray linear programming. The theory of gray system is a new cross-sectional discipline founded in 1982 by Professor Deng Julong, a well-known scholar in China. In recent decades, it has not only been deepened and expanded in theory but also widely used in the fields of society, economy, ocean, agriculture, fishery, and other fields, and made a series of significant scientific achievements. These have laid the foundation for the important position of the gray system theory. Due to the great uncertainty of the fishery resources and the fishery environment involved in the fishery science system, which is completely different from the natural resources on the land, the data and information belong to the category of “poor information”, and the variability and uncertainty are greater than other natural resources. As an extremely effective analytical method and tool, gray system theory has been applied increasingly in fishery science. The book is developed based on well-read and practical literature and will help scientists and research units engaged in scientific research and teaching in fishery science and related fields to develop new research methods and tools.

Low Power Architectures for IoT Applications (Springer Tracts in Electrical and Electronics Engineering)

by Devendra Kumar Sharma Rohit Sharma Gwanggil Jeon Zdzislaw Polkowski

This book provides comprehensive coverage of different aspects of low-power circuit synthesis for IoT applications at various levels of the design hierarchy, starting from the layout level to the system level. For a seamless understanding of the subject, the basics of MOS circuits have been introduced at the transistor, gate and circuit level, followed by various low-power design methodologies, such as supply voltage scaling, switched capacitance minimization techniques, and leakage power minimization approaches. The contents of this book are useful to students, researchers, as well as practicing engineers. Low-power architectures refer to the latest development in computer microchips which are created by integrating hundreds of thousands of transistors on one chip for different IoT applications. Emerging research in this area has the potential to uncover further applications for IoT in addition to system advancements.

Underwater Biomimetic Vehicle-Manipulator System: Control and Planning (Unmanned System Technologies)

by Shuo Wang Yu Wang Min Tan Rui Wang Xiang Dong Qingping Wei Liuji Shang

This book is about the design and control of biomimetic underwater robots. It explains the six aspects of the underwater biomimetic vehicle- manipulator system in detail and provides practical examples. This book is the authors’ long-term exploration of the theoretical and technical issues in the development of the underwater biomimetic vehicle-manipulator system and is written based on more than 15 years of scientific research and practical experience. This book is a helpful reference for the researchers, engineers, master and Ph.D. students in the field of biomimetic underwater robots.

Proceedings of Second Asian Symposium on Cellular Automata Technology: ASCAT 2023 (Advances in Intelligent Systems and Computing #1443)

by Sukanta Das Genaro Juarez Martinez

This book gathers selected research papers presented at the Second Asian Symposium on Cellular Automata Technology (ASCAT 2023), organized by academicians from Kolkata at Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India, and by researchers of Cellular Automata India, a research group which was created during the pandemic, during March 2–4, 2023. The book presents one of the most emergent areas in natural computing, cellular automaton (CA). CA is a paradigm of uniform fine-grained parallel computation which has been explored to understand complex systems by developing its model at the microscopic level. The book discusses many real-life problems in the domain of pattern recognition and classification, clustering, electronic circuit design, bioinformatics, material and mining engineering, modelling of physical and social systems, etc., by using CA.

Blockchain Driven Supply Chain Management: A Multi-dimensional Perspective (Management for Professionals)

by Muhammad Shujaat Mubarik Muhammad Shahbaz

The book aims to present a multi-dimensional view on the blockchain-driven supply chain management and its linkage with open innovation, digital technologies, supply chain sustainability, mapping, visibility, and resilience. It offers topic from three important themes: first, what is the architecture and design of BCSCM and how does it differ from the conventional supply chains; second, performance impacts of BCSCM; and third, implementation challenges and role of leadership. Hence, the book provides a diverse perspective on the understanding, architecture, impacts, and implementation of blockchain-driven supply chain management. It shows the importance of blockchain-driven supply chain management for contemporary organizations: how it contributes to supply chain traceability, resilience, and sustainability.The book also demonstrates as to how adoption of blockchain-driven supply chain management requires to consider intangible forms of intellectual capital (human, processes, and relationships), which is different from more traditional forms. This is a book for supply chain management practitioners, researchers, and academician who want to understand the role of blockchain in supply chain, for supply chain managers who want to be at the cutting edge by adopting the BCSCM, for those early in their careers who seek a challenging new path, and for the top-level managers of the world who have their eye on the future.

Remote Sensing of Urban Green Space

by Qingyan Meng

This book presents a systematic study of urban green space remote sensing from multi-dimensional and multi-scale technologies. On the basis of introducing the connotation, science and application value of urban green space, this book focuses on the two-dimensional and three-dimensional information extraction technology of urban vegetation, two-dimensional and three-dimensional measurement technology of urban green space and multi-scale perception technology and discusses the remote sensing evaluation method of urban green space. By exploring the technical advantages of ‘satellite remote sensing + aerial remote sensing + near-ground remote sensing’, urban green space remote sensing promotes the development of urban vegetation research from two-dimensional to three-dimensional observation, so that the quantity, quality and human perception of urban vegetation can be measured. In each chapter, an individual technology/method is introduced, and several cases are cited to demonstrate its practical application. This book offers a valuable reference guide for practitioners in urban planning, landscape greening, environmental protection and urban management, as well as teachers and graduate students engaged in urban remote sensing research.

Data Science and Emerging Technologies: Proceedings of DaSET 2022 (Lecture Notes on Data Engineering and Communications Technologies #165)

by Yap Bee Wah Michael W. Berry Azlinah Mohamed Dhiya Al-Jumeily

The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2022), held online at UNITAR International University, Malaysia, during December 20–21, 2022. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as artificial intelligence and blockchain are useful for various domains such as marketing, health care, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in computational and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but not limited to: artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.

Smart Trends in Computing and Communications: Proceedings of SmartCom 2023, Volume 1 (Lecture Notes in Networks and Systems #645)

by Tomonobu Senjyu Chakchai So–In Amit Joshi

This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch (Engineering Applications of Computational Methods #14)

by Yuanzheng Li Yong Zhao Lei Wu Zhigang Zeng

With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch.(2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast.(3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.

Neural Text-to-Speech Synthesis (Artificial Intelligence: Foundations, Theory, and Algorithms)

by Xu Tan

Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.

Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2023 (Lecture Notes on Data Engineering and Communications Technologies #166)

by Subarna Shakya George Papakostas Khaled A. Kamel

This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during January 11–12, 2023. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices to personalized, embedded, and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models, and advanced informatics that support the symbiosis of mobile computing and sustainable informatics.

Smart Trends in Computing and Communications: Proceedings of SmartCom 2023, Volume 2 (Lecture Notes in Networks and Systems #650)

by Tomonobu Senjyu Chakchai So-In Amit Joshi

This book gathers high-quality papers presented at the Seventh International Conference on Smart Trends in Computing and Communications (SmartCom 2022), organized by Global Knowledge Research Foundation (GR Foundation) from January 24–25, 2023, in Jaipur, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Digital Multimedia Communications: 19th International Forum, IFTC 2022, Shanghai, China, December 8–9, 2022, Revised Selected Papers (Communications in Computer and Information Science #1766)

by Jun Zhou Xiaokang Yang Guangtao Zhai Jia Wang Ping An Hua Yang

This book constitutes the refereed proceedings of the 9th International Forum on Digital Multimedia Communication, IFTC 2022, held in Shanghai, China, December 8–9, 2022.The 40 full papers included in this book were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Computer Vision; Image Analysis; Quality Assessment; Video Processing; Machine Learning; and Big data.

Space–Time Conservation Element and Solution Element Method: Advances and Applications in Engineering Sciences (Engineering Applications of Computational Methods #13)

by Chih-Yung Wen Yazhong Jiang Lisong Shi

This open access book introduces the fundamentals of the space–time conservation element and solution element (CESE) method, which is a novel numerical approach for solving equations of physical conservation laws. It highlights the recent progress to establish various improved CESE schemes and its engineering applications. With attractive accuracy, efficiency, and robustness, the CESE method is particularly suitable for solving time-dependent nonlinear hyperbolic systems involving dynamical evolutions of waves and discontinuities. Therefore, it has been applied to a wide spectrum of problems, e.g., aerodynamics, aeroacoustics, magnetohydrodynamics, multi-material flows, and detonations. This book contains algorithm analysis, numerical examples, as well as demonstration codes. This book is intended for graduate students and researchers who are interested in the fields such as computational fluid dynamics (CFD), mechanical engineering, and numerical computation.

Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1: BDCPS 2022, December 16-17, Bangkok, Thailand (Lecture Notes on Data Engineering and Communications Technologies #167)

by Mohammed Atiquzzaman Neil Yen Zheng Xu

This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Computer Assisted Music and Dramatics: Possibilities and Challenges (Advances in Intelligent Systems and Computing #1444)

by Ambuja Salgaonkar Makarand Velankar

This book is intended for researchers interested in using computational methods and tools to engage with music, dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled Computer Assisted Music and Dramatics: Possibilities and Challenges organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music. The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas.

Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (Lecture Notes in Electrical Engineering #1019)

by Peng You Heng Li Zhenxiang Chen

This book is a collection of the papers accepted by the ICIVIS 2022—The International Conference on Image, Vision and Intelligent Systems, held on August 15–17, 2022, in Jinan, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state of practice in the topics covered by this conference proceedings.

Proceedings TEEM 2022: Salamanca, Spain, October 19–21, 2022 (Lecture Notes in Educational Technology)

by Francisco José García-Peñalvo Alicia García-Holgado

This TEEM 2022 Conference (International Conference on Technological Ecosystems for Enhancing Multiculturality) Proceedings reflects the most outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support the Knowledge Society building and development. With its learning technology-based focus using a transversal approach, TEEM is divided into thematic and highly cohesive tracks, each of which is oriented to a specific community of interest, including researchers, professionals and students. Informatics and Education are the central issues in the conference tracks, including broad-scope research areas, such as Educational Assessment and Orientation, Human-Computer Interaction, eLearning, Computers in Education, Communication Media and Education, Medicine and Education, Learning Analytics, Engineering Education, Robotics in Education, Diversity in Education, Gamification and Games for Learning.

Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways (Advances in High-speed Rail Technology)

by Zhigang Liu Wenqiang Liu Junping Zhong

This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.

Signals, Machines and Automation: Select Proceedings of SIGMA 2022 (Lecture Notes in Electrical Engineering #1023)

by Asha Rani Bhavnesh Kumar Vivek Shrivastava Ramesh C. Bansal

This book constitutes selected peer-reviewed proceedings of the 2nd International Conference on Signals, machines, and Automation (SIGMA 2022). This book includes papers on technologies related to electric power, manufacturing processes & automation, biomedical & healthcare, communication & networking, image processing, and computation intelligence. The book will serve as a valuable reference resource for beginners as well as advanced researchers in the areas of engineering & technology.

VLSI, Communication and Signal Processing: Select Proceedings of the 5th International Conference, VCAS 2022 (Lecture Notes in Electrical Engineering #1024)

by R. K. Nagaria V. S. Tripathi Carlos Ruiz Zamarreno Yogendra Kumar Prajapati

This book covers a variety of topics in Electronics and Communication Engineering, especially in the area of microelectronics and VLSI design, communication systems and networks, and signal and image processing. The content is based on papers presented at the 5th International Conference on VLSI, Communication and Signal Processing (VCAS 2022). The book also discusses the emerging applications of novel tools and techniques in image, video, and multimedia signal processing. This book is useful to students, researchers, and professionals working in the electronics and communication domain.

Advances in Data-driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 2 (Lecture Notes in Networks and Systems #653)

by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish Chand Bansal

The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.

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