Distributed Space Missions For Earth System Monitoring
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Distributed Space Missions for Earth System Monitoring
Author: Marco D&'Errico
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-09-13
This title analyzes distributed Earth observation missions from different perspectives. In particular, the issues arising when the payloads are distributed on different satellites are considered from both the theoretical and practical points of view. Moreover, the problems of designing, measuring, and controlling relative trajectories are thoroughly presented in relation to theory and applicable technologies. Then, the technological challenges to design satellites able to support such missions are tackled. An ample and detailed description of missions and studies complements the book subject.
Self-Aware Computing Systems
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.
Vol.1 A.I.D.A.A. Proceedings of the XXV AIDAA International Congress of Aeronautics and Astronautics
The 2019 AIDAA Congress is the biennial Congress of the Italian Association of Aeronautics and Astronautics, the Italian no-profit cultural association dedicated to the aerospace community. AIDAA was formed in 1969 through a merging of the former Societies AIDA (Associazione Italiana di Aerotecnica formed in 1920) and AIR (Associazione Italiana Razzi).In 1951, AIDA was among the founders of the International Astronautical Federation (IAF) and in 1957 of the International Council of Aeronautical Sciences (ICAS). In 1992 AIDAA joined the Confederation of European Aerospace Societies (CEAS).The Congress is jointly hosted by AIDAA Rome Section, the Departments of Astronautic, Electric and Energetic Engineering (DIAEE) and of Mechanical and Aerospace Engineering (DIMA) of Civil and Industrial Engineering Faculty and the School of Aerospace Engineering (SIA) of Sapienza University of Rome. The degree courses in Aerospace Engineering are attended by almost 1500 students.