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Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #187)
by Ngoc Thanh Nguyen Nhu-Ngoc Dao Tran Ngoc ThinhThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
Intelligence of Things: The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #188)
by Ngoc Thanh Nguyen Nhu-Ngoc Dao Tran Ngoc ThinhThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.
Intelligence of Things: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #229)
by Ngoc Thanh Nguyen Nhu-Ngoc Dao Quang-Dung Pham Sungrae ChoThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.
Intelligence of Things: The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #230)
by Ngoc Thanh Nguyen Nhu-Ngoc Dao Quang-Dung Pham Sungrae ChoThis book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.
Intelligence-Driven Circular Economy: Regeneration Towards Sustainability and Social Responsibility–Volume 1 (Studies in Computational Intelligence #1173)
by Azzam Hannoon Abdullah MahmoodThe book provides a groundbreaking examination of how artificial intelligence (AI) can be utilized to contribute towards a sustainable future. This book delves into the intricate relationship between technology, economy, and society, providing a comprehensive framework for understanding the circular economy as a holistic approach to sustainable development. This book aims to offer a comprehensive reference work and coverage of the role of Artificial Intelligence and other advanced digital technologies in the circular economy and resource regeneration towards achieving the United Nation’s 17 sustainable development goals. This book is mainly aimed at academics and researchers who will find in it the knowledge of the support of technology and its contribution to the circular economy, challenges, applications, and solutions to improve. Moreover, this book is aimed at management, industry experts, governments, and policymakers, whereby the book contains helpful examples from practice and applied recommendations. This book is for anyone interested in shaping a sustainable and resilient future. It provides diverse topics for raising awareness about the power of technology in promoting social well-being and economic prosperity.
Intelligence-Driven Circular Economy: Regeneration Towards Sustainability and Social Responsibility—Volume 2 (Studies in Computational Intelligence #1174)
by Azzam Hannoon Abdullah MahmoodThis book provides a platform for scholars and researchers to present the latest insights and findings on the role of artificial intelligence and smart digital solutions in fostering the circular economy. Additionally, the book shades the lights on the vital role of circular economy in achieving sustainability and social responsibility. It covers a variety of research topics including circular economy, sustainability, AI applications, legislation and regulation, smart cities, social entrepreneurship and AI, digital transformation, knowledge management, and cybersecurity. This edited book serves as a reference and guide to graduate students, researchers, and academics conducting research and taking courses in artificial intelligence, sustainability, and the circular economy.
Intelligent 3D Technologies and Augmented Reality: Proceedings of the Fifth International Conference on 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning, Volume 2 (Smart Innovation, Systems and Technologies #401)
by Srikanta Patnaik Roumen Kountchev Roumiana Kountcheva Yingkai LiuThis book presents high-quality research in the field of 3D imaging technology. The fifth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first four editions of the conference to provide a wide scientific forum for researchers, academia, and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in two volumes. The main topics of the papers comprise famous trends such as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms, and technologies. The second volume is about computing and information technologies, computer images, and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
Intelligent Adaptive Systems: An Interaction-Centered Design Perspective
by Catherine Burns Simon Banbury Ming HouAs ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned.Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.
Intelligent Agrifood Chains and Networks
by Michael Bourlakis Vasileios Zeimpekis Ilias VlachosFood has a fundamental position in society, ensuring health, happiness and political stability. Consequently, the management of food chains and networks is one of the most important aspects of the modern food industry. Yet food is difficult to handle along long supply chains, with a limited window for storage and handling time, and the risk of spoiling if incorrectly handled or processed. These issues can lead to logistical problems that can severely affect product quality and freshness. Intelligent Agrifood Chains and Networks offers a timely discussion of the current state of food logistics, and indicates the major ICT problems that can occur during production, warehousing, transportation and retailing. Emphasis is given to new technologies and intelligent systems that are able to process time-dependent information, handle emergencies, and support logistics operations in food management. In particular, the authors show how telematics and RFID can be implemented in the supply chain. The book also includes real-life case studies, in which actual food logistics problems and their solutions are presented, demonstrating how systemic and logistics approaches may be combined. The book is directed at academics, researchers, and students seeking the necessary background in terms of the interplay between the food supply chain and ICT. Its comprehensive review of current issues in the food supply chain will be of interest to managers and technicians working in the food industry, while its technological focus will be invaluable to food scientists and technologists working in research and industry environments.
Intelligent Algorithms for Analysis and Control of Dynamical Systems (Algorithms for Intelligent Systems)
by Rajesh Kumar V. P. Singh Akhilesh MathurThis book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input–single-output (SISO) and multi-input–multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.
Intelligent Algorithms for Packing and Cutting Problem (Engineering Applications of Computational Methods #10)
by Yunqing Rao Qiang LuoThis book investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction. The book is intended for undergraduate and graduate students who are interested in the solving methods for packing and cutting problems, researchers investigating the application of intelligent algorithms, scientists studying the theory of the operations research and CAM software developers working on integration of packing and cutting problem.
Intelligent Algorithms in Software Engineering: Proceedings of the 9th Computer Science On-line Conference 2020, Volume 1 (Advances in Intelligent Systems and Computing #1224)
by Radek SilhavyThis book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020.Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.
Intelligent Analysis: Fractional Inequalities and Approximations Expanded (Studies in Computational Intelligence #886)
by George A. AnastassiouThis book focuses on computational and fractional analysis, two areas that are very important in their own right, and which are used in a broad variety of real-world applications. We start with the important Iyengar type inequalities and we continue with Choquet integral analytical inequalities, which are involved in major applications in economics. In turn, we address the local fractional derivatives of Riemann–Liouville type and related results including inequalities. We examine the case of low order Riemann–Liouville fractional derivatives and inequalities without initial conditions, together with related approximations. In the next section, we discuss quantitative complex approximation theory by operators and various important complex fractional inequalities. We also cover the conformable fractional approximation of Csiszar’s well-known f-divergence, and present conformable fractional self-adjoint operator inequalities. We continue by investigating new local fractional M-derivatives that share all the basic properties of ordinary derivatives. In closing, we discuss the new complex multivariate Taylor formula with integral remainder. Sharing results that can be applied in various areas of pure and applied mathematics, the book offers a valuable resource for researchers and graduate students, and can be used to support seminars in related fields.
Intelligent Analytics for Industry 4.0 Applications
by Abhishek Verma Ashutosh Kumar Singh Avinash Chandra Pandey Vijaypal Singh Rathor Munesh SinghThe advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.
Intelligent Astrophysics (Emergence, Complexity and Computation #39)
by Ivan Zelinka Massimo Brescia Dalya BaronThis present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics.
Intelligent Audio Analysis
by Björn W. SchullerThis book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often today's results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.
Intelligent Automatic Generation Control
by Hassan Bevrani Takashi HiyamaAutomatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources—all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering.
Intelligent Automation and Computer Engineering
by He Huang Oscar CastilloA large international conference in Intelligent Automation and Computer Engineering was held in Hong Kong, March 18-20, 2009, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2009). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Automation and Computer Engineering contains 37 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, decision supporting systems, automated planning, automation systems, control engineering, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Automation and Computer Engineering offers the state of the art of tremendous advances in intelligent automation and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent automation and computer engineering.
Intelligent Automation and Systems Engineering
by Sio-Iong Ao Burghard B. Rieger Mahyar AmouzegarIntelligent systems are required to facilitate the use of information provided by the internet and other computer based technologies. This book describes the state-of-the-art in Intelligent Automation and Systems Engineering. Topics covered include Intelligent decision making, Automation, Robotics, Expert systems, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational biology, Optimization algorithms, Experimental designs, Complex system identification, Computational modeling, Systems simulation, Decision modeling, and industrial applications.
Intelligent Automation: Bridging the Gap between Business and Academia
by Marie Myers Carol Brace Lila CardenSince prehistoric times, humans have invented ways to simplify daily activities to improve productivity. The most recent milestone in this journey is robotic process automation (RPA), helping to build software robots that can be leveraged to automate mundane and repetitive tasks that can be labor-intensive and prone to errors. In recent years, RPA has been integrated with emerging artificial intelligence (AI) and machine learning (ML) technologies to create what is referred to as intelligent automation (IA), emulating human actions and decision-making abilities. This book addresses the critical questions about the rise, usage, and future of IA practices. This book is structured by general personas considered as its primary target audience, ranging from: Early-stage practitioners seeking to learn effective management of IA programs Established IA practitioners seeking to drive maturity and scale Business leaders seeking to understand how to drive business value using IA Practitioners or academicians seeking to collaborate This book is strongly recommended for practitioners seeking to plan, implement, and scale IA practices in their organization and for researchers and students who intend to study strategy, implementation, and management of IA practice to accelerate the digital transformation agenda.
Intelligent Autonomous Control of Spacecraft with Multiple Constraints
by Lei Guo Qinglei Hu Xiaodong ShaoThis book explores the intelligent autonomous control problems for spacecraft with multiple constraints, such as pointing/path constraints, linear/angular velocity constraints, performance constraints, etc. It provides an almost self-contained presentation of dynamics modeling, controller design and analysis, as well as simulation studies. The book aims to offer a valuable guide for researchers and aerospace engineers to address the theoretical and technical difficulties in different applications, ranging from spacecraft attitude reorientation and tracking to spacecraft proximity operations, and is mainly intended for technical and engineering staff engaged in spacecraft dyanmics and control areas.
Intelligent Autonomous Systems 14
by Emanuele Menegatti Weidong Chen Koh Hosoda Masahiro Shimizu Hesheng WangThis book describes the latest research advances, innovations, and visions in the field of robotics as presented by leading researchers, engineers, and practitioners from around the world at the 14th International Conference on Intelligent Autonomous Systems (IAS-14), held in Shanghai, China in July 2016. The contributions amply demonstrate that robots, machines and systems are rapidly achieving intelligence and autonomy, attaining more and more capabilities such as mobility and manipulation, sensing and perception, reasoning, and decision-making. They cover a wide range of research results and applications, and particular attention is paid to the emerging role of autonomous robots and intelligent systems in industrial production, which reflects their maturity and robustness. The contributions were selected by means of a rigorous peer-review process and highlight many exciting and visionary ideas that will further galvanize the research community and spur novel research directions. The series of biennial IAS conferences, which began in 1986, represents a premiere event in the field of robotics.
Intelligent Autonomous Systems 16: Proceedings of the 16th International Conference IAS-16 (Lecture Notes in Networks and Systems #412)
by Wei Lin Marcelo H. Ang Jr Hajime Asama Shaohui FoongThis book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design—as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986.Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com
Intelligent Autonomous Systems 17: Proceedings of the 17th International Conference IAS-17 (Lecture Notes in Networks and Systems #577)
by Emanuele Menegatti Ivan Petrovic Ivan Marković“IAS has been held every two years since 1986 providing venue for the latest accomplishments and innovations in advanced intelligent autonomous systems. New technologies and application domains continuously pose new challenges to be overcome in order to apply intelligent autonomous systems in a reliable and user-independent way in areas ranging from industrial applications to professional service and household domains. The present book contains the papers presented at the 17th International Conference on Intelligent Autonomous Systems (IAS-17), which was held from June 13–16, 2022, in Zagreb, Croatia. In our view, 62 papers, authored by 196 authors from 19 countries, are a testimony to the appeal of the conference considering travel restrictions imposed by the COVID-19 pandemic. Our special thanks go to the authors and the reviewers for their effort—the results of their joint work are visible in this book. We look forward to seeing you at IAS-18 in 2023 in Suwon, South Korea!”
Intelligent Autonomous Systems 18: Volume 1 Proceedings of the 18th International Conference IAS18-2023 (Lecture Notes in Networks and Systems #795)
by Marcus Strand Soon-Geul Lee Jinung An Nak Young Chong Joo H. KimIntelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner. This book is a compilation that aims to serve researchers and practitioners in related fields by providing a timely dissemination of recent progress in the areas of autonomous mobility and robotics. The contents of this book are based on a collection of papers presented at the 18th International Conference on Intelligent Autonomous Systems (IAS18 2023), held at the Suwon Convention Center in Suwon, Korea. The conference took place fully in person from July 4 to 7, 2023, with the theme “Impact and Effect of AI on Intelligent Autonomous Systems.” It encompassed discussions on theories, applications, and creative innovations in intelligent autonomous systems, covering topics such as autonomous vehicles, intelligent agents, smart sensors and actuators, smart haptics, human–machine interaction, digital twin, digital health, and metaverse, VR, AR, or MR. For ease of reading, the 91 papers have been grouped into five chapters: Chapter 1: Intelligent Autonomous Vehicles; Chapter 2: Autonomous Robots; Chapter 3: Intelligent Perception and Sensors; Chapter 4: Data Fusion and Machine Learning for Intelligent Robots; and Chapter 5: Applied Autonomous Systems. The articles included in this book underwent a rigorous peer-review process and were presented at the IAS18-2023 conference. For researchers working in the field of intelligent autonomous systems technology, we believe this book provides valuable insights into recent advances in autonomous technologies and applications, thereby enriching their studies. We extend our heartfelt thanks to all the authors and editors who contributed to this edition.