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The conference will focus on current IT practice and challenges as well as emerging information technologies with applicability for future space missions IT in all aspects of the space mission will be explored, including flight systems, relevant ground systems, science data processing, engineering and development tools, operations, and telecommunications The entire IT lifecycle of the mission development will also be covered, such as conceptual design, engineering tools development, integration and test, operations, science analysis, and quality control
The three-volume set LNCS 13302, 13303 and 13304 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022, which took place virtually in June-July 2022. The 132 papers included in this HCI 2022 proceedings were organized in topical sections as follows: Part I: Theoretical and Multidisciplinary Approaches in HCI; Design and Evaluation Methods, Techniques and Tools; Emotions and Design; and Children-Computer Interaction, Part II: Novel Interaction Devices, Methods and Techniques; Text, Speech and Image Processing in HCI; Emotion and Physiological Reactions Recognition; and Human-Robot Interaction, Part III: Design and User Experience Case Studies, Persuasive Design and Behavioral Change; and Interacting with Chatbots and Virtual Agents.
Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing. This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT
This book constitutes the proceedings of the 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018, held in Cambridge, UK, in December 2018. The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 46 submissions. There are technical and application papers which were organized in topical sections named: Neural Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine Learning in Action; Applications of Machine Learning; and Applications of Agent Systems and Genetic Algorithms.
HANDBOOK OF FLEXIBLE AND SMART SHEET FORMING TECHNIQUES Single-source guide to innovative sheet forming techniques and applications, featuring contributions from a range of engineering perspectives Handbook of Flexible and Smart Sheet Forming Techniques presents a collection of research on state-of-art techniques developed specifically for flexible and smart sheet forming, with a focus on using analytical strategies and computational, simulation, and AI approaches to develop innovative sheet forming techniques. Bringing together various engineering perspectives, the book emphasizes how these manufacturing techniques intersect with Industry 4.0 technologies for applications in the mechanical, automobile, industrial, aerospace, and medical industries. Research outcomes, illustrations, case studies, and examples are included throughout the text, and are useful for readers who wish to better understand and utilize these new manufacturing technologies. Topics covered in the book include: Concepts, classifications, variants, process cycles, and materials for flexible and smart sheet forming techniques Comparisons between the aforementioned techniques and other conventional sheet forming processes, plus hardware and software requirements for these techniques Parameters, responses, and optimization strategies, mechanics of flexible and smart sheet forming, simulation approaches, and future innovations and directions Recent advancements in the field, including various optimizations like artificial intelligence, Internet of Things, and machine learning techniques Handbook of Flexible and Smart Sheet Forming Techniques is an ideal reference guide for academic researchers and industrial engineers in the fields of incremental sheet forming. It also serves as an excellent comprehensive reference source for university students and practitioners in the mechanical, production, industrial, computer science engineering, medical, and pharmaceutical industries.
ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors. This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering. Solves prognostic information selection and decision-level information fusion issues Presents integrated evaluation methodologies for complex aerospace system health conditions and software system reliability assessment Proposes a framework to perform fault diagnostics with a distributed intelligent agent system and a data mining approach for multistate systems Explains prognostic methods that combine both the qualitative system running state prognostics and the quantitative remaining useful life prediction