Second School on Runtime Verification, as part of the ArVi COST Action 1402 Overview and Reflections

International audienceThis paper briefly reports on the second international school on Run-time Verification, co-organized and sponsored by Inria and COST Action IC1402 ArVi. The school was held March 19-21 2018, in Praz sur Arly (near Grenoble) in the French Alps. Most of the lectures dealt with introductory and advanced topics on Runtime Verification from the first tutorial book on Runtime Verification [2]. Additional lectures were given on cutting-edge research topics. We report the context and objectives of the school, overview its program, and propose outlooks for the future editions of the school

COST Action IC 1402 ArVI: Runtime Verification Beyond Monitoring -- Activity Report of Working Group 1

This report presents the activities of the first working group of the COST Action ArVI, Runtime Verification beyond Monitoring. The report aims to provide an overview of some of the major core aspects involved in Runtime Verification. Runtime Verification is the field of research dedicated to the analysis of system executions. It is often seen as a discipline that studies how a system run satisfies or violates correctness properties. The report exposes a taxonomy of Runtime Verification (RV) presenting the terminology involved with the main concepts of the field. The report also develops the concept of instrumentation, the various ways to instrument systems, and the fundamental role of instrumentation in designing an RV framework. We also discuss how RV interplays with other verification techniques such as model-checking, deductive verification, model learning, testing, and runtime assertion checking. Finally, we propose challenges in monitoring quantitative and statistical data beyond detecting property violation

Second School on Runtime Verification, as part of the ArVi COST Action 1402 Overview and Reflections

International audienceThis paper briefly reports on the second international school on Run-time Verification, co-organized and sponsored by Inria and COST Action IC1402 ArVi. The school was held March 19-21 2018, in Praz sur Arly (near Grenoble) in the French Alps. Most of the lectures dealt with introductory and advanced topics on Runtime Verification from the first tutorial book on Runtime Verification [2]. Additional lectures were given on cutting-edge research topics. We report the context and objectives of the school, overview its program, and propose outlooks for the future editions of the school

Deep Learning Methods for Remote Sensing

Remote sensing is a field where important physical characteristics of an area are exacted using emitted radiation generally captured by satellite cameras, sensors onboard aerial vehicles, etc. Captured data help researchers develop solutions to sense and detect various characteristics such as forest fires, flooding, changes in urban areas, crop diseases, soil moisture, etc. The recent impressive progress in artificial intelligence (AI) and deep learning has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently in multiple areas, among them remote sensing. This book consists of sixteen peer-reviewed papers covering new advances in the use of AI for remote sensing