Advanced space exploration is performed by unmanned missions with integrated autonomy in both flight and ground systems. Risk and feasibility are major factors supporting the use of unmanned craft and the use of automation and robotic technologies where possible. Autonomy in space helps to increase the amount of science data returned from missions, perform new science, and reduce mission costs. Elicitation and expression of autonomy requirements is one of the most significant challenges the autonomous spacecraft engineers need to overcome today. This book discusses the Autonomy Requirements Engineering (ARE) approach, intended to help software engineers properly elicit, express, verify, and validate autonomy requirements. Moreover, a comprehensive state-of-the-art of software engineering for aerospace is presented to outline the problems handled by ARE along with a proof-of-concept case study on the ESA's BepiColombo Mission demonstrating the ARE’s ability to handle autonomy requirements.
What purpose does the news media serve in contemporary North American society? In this collection of essays, experts from both the United States and Canada investigate this question, exploring the effects of media concentration in democratic systems. Specifically, the scholars collected here consider, from a range of vantage points, how corporate and technological convergence in the news industry in the United States and Canada impacts journalism's expressed role as a medium of democratic communication. More generally, and by necessity, Converging Media, Diverging Politics speaks to larger questions about the role that the production and circulation of news and information does, can, and should serve. The editors have gathered an impressive array of critical essays, featuring interesting and well-documented case studies that will prove useful to both students and researchers of communications and media studies.
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.
The 1970s saw some of the worst mass killings and murders in recent history. Fanatical cult leader Jim Jones was responsible for the deaths of hundreds, while serial killers Ted Bundy and John Wayne Gacy each had dozens of victims. The chilling crimes of murderers including the Yorkshire Ripper – Peter Sutcliffe – and the Hillside Strangler stunned the world when the details were made public. In Murders That Shook the World – 1970s, author Stuart Qualtrough investigates the decade’s worst murders and murderers.
Written by a former FCPA attorney with expert knowledge and experience relevant to the issues discussed, the book injects innovative concepts to the study of the FCPA and its enforcement such as the Šworld�s most ethical FCPA violators,� Šthe faˆade of
A guide to references commonly used in speech and writing. Explains more than 900 allusions. Entries include examples from todays leading media. A must for serious readers, language lovers, and ESL students.
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