463 resultados para BRAKING CATASTROPHE


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Federal Highway Administration, Office of Research, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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Federal Highway Administration, Washington, D.C.

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Mode of access: Internet.

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Mode of access: Internet.

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Wood engravings: frontispiece, ills., title vignette.

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'Risk Criticism: Reading in an Age of Manufactured Uncertainties' is a study of literary and cultural responses to global environmental risk that offers an environmental humanities approach to understanding risk in an age of unfolding ecological catastrophe. In 2015, the Bulletin of the Atomic Scientists re-set its iconic Doomsday Clock to three minutes to midnight, as close to the apocalypse as it has been since 1953. What pushed its hands was, however, not just the threat of nuclear weapons, but also other global environmental risks that the Bulletin judged to have risen to the scale of the nuclear, including climate change and innovations in the life sciences. If we may once have believed that the end of days would come in a blaze of nuclear firestorm (or the chill of the subsequent nuclear winter), we now suspect that the apocalypse may be much slower, creeping in as chemical toxin, climate change, or bio- or nano- technologies run amok. Taking inspiration from the questions raised by the Bulletin’s synecdochical “nuclear,” 'Risk Criticism' aims to generate a hybrid form of critical practice that brings “nuclear criticism”—a subfield of literary studies that has been, since the Cold War, largely neglected—into conversation with ecocriticism, the more recent approach to environmental texts in literary studies. Through readings of novels, films, theater, poetry, visual art, websites, news reports, and essays, 'Risk Criticism' tracks the diverse ways in which environmental risks are understood and represented today.

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Includes bibliographical references and index.

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Cover-title: Sur la catastrophe de Monseigneur le duc d'Enghien.

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The first book with Hawthorne's name on the title page--cf. N. E. Browne, A bibliography of ... Hawthorne.

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In this article, the 2002 Australian debate regarding embryonic stem cells is examined. This shows the importance of an analysis of the media to understanding how disability is constructed in discourses of nationhood and biotechnology. Media representation of disability-for instance, signifying disability as catastrophe-is seen as crucial in securing access to a variety of biotechnologies, such as embryonic stem cells. Analysis of such media moments shows a structure of privileged and excluded voices in debates regarding disability and biotechnology. The diversity of voices in the Australian community regarding disability is not represented in a range of media, nor are people with disability quoted as experts on disability. A recognition of the media's construction of disability must be matched by a commitment to disability as part of a truly civil society. It is only in this way that we will have biotechnologies, and diverse cultural and media representations that meet the requirements of the international disability rights movement motto of 'nothing about us without us', recently emphasized in the Disabled Peoples' International Europe's 2000 statement on biotechnology.

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We derive necessary and sufficient conditions for the existence of bounded or summable solutions to systems of linear equations associated with Markov chains. This substantially extends a famous result of G. E. H. Reuter, which provides a convenient means of checking various uniqueness criteria for birth-death processes. Our result allows chains with much more general transition structures to be accommodated. One application is to give a new proof of an important result of M. F. Chen concerning upwardly skip-free processes. We then use our generalization of Reuter's lemma to prove new results for downwardly skip-free chains, such as the Markov branching process and several of its many generalizations. This permits us to establish uniqueness criteria for several models, including the general birth, death, and catastrophe process, extended branching processes, and asymptotic birth-death processes, the latter being neither upwardly skip-free nor downwardly skip-free.

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Users of safety-critical systems are expected to effectively control or monitor complex systems, with errors potentially leading to catastrophe. For such systems, safety is of paramount importance and must be designed into the human-machine interface. While many case studies show how inadequate design practice led to poor safety and usability, concrete guidance on good design practices is scarce. The paper argues that the pattern language paradigm, widely used in the software design community, is a suitable means of documenting appropriate design strategies. We discuss how typical usability-related properties (e.g., flexibility) need some adjustment to be used for assessing safety-critical systems, and document a pattern language, based on corresponding "safety-usability" principles

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O presente trabalho se ocupará com uma perícope do cap. 26, dos v. 12-19 do livro de Deuteronômio. Através do método sociológico propomos compreendê-la, primeiro como uma comunidade de pobres que está no campo, diante da catástrofe do pré-exílio em 722 a.C., portanto no reino do norte. Segundo que estes pobres formaram uma comunidade viva, vibrante, de superação e de resistência, contra a força interna que era a monarquia e contra uma força externa a invasão assíria, e não somente um agrupamento de sujeitos (levita, estrangeiro, órfão e viúva) que somente se lamentava diante das dificuldades. Com a utilização deste instrumental sociológico, nos possibilitou descobrir que esta comunidade de pobres tinha esperança, e aliás pensou uma esperança inovadora.

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A reliable perception of the real world is a key-feature for an autonomous vehicle and the Advanced Driver Assistance Systems (ADAS). Obstacles detection (OD) is one of the main components for the correct reconstruction of the dynamic world. Historical approaches based on stereo vision and other 3D perception technologies (e.g. LIDAR) have been adapted to the ADAS first and autonomous ground vehicles, after, providing excellent results. The obstacles detection is a very broad field and this domain counts a lot of works in the last years. In academic research, it has been clearly established the essential role of these systems to realize active safety systems for accident prevention, reflecting also the innovative systems introduced by industry. These systems need to accurately assess situational criticalities and simultaneously assess awareness of these criticalities by the driver; it requires that the obstacles detection algorithms must be reliable and accurate, providing: a real-time output, a stable and robust representation of the environment and an estimation independent from lighting and weather conditions. Initial systems relied on only one exteroceptive sensor (e.g. radar or laser for ACC and camera for LDW) in addition to proprioceptive sensors such as wheel speed and yaw rate sensors. But, current systems, such as ACC operating at the entire speed range or autonomous braking for collision avoidance, require the use of multiple sensors since individually they can not meet these requirements. It has led the community to move towards the use of a combination of them in order to exploit the benefits of each one. Pedestrians and vehicles detection are ones of the major thrusts in situational criticalities assessment, still remaining an active area of research. ADASs are the most prominent use case of pedestrians and vehicles detection. Vehicles should be equipped with sensing capabilities able to detect and act on objects in dangerous situations, where the driver would not be able to avoid a collision. A full ADAS or autonomous vehicle, with regard to pedestrians and vehicles, would not only include detection but also tracking, orientation, intent analysis, and collision prediction. The system detects obstacles using a probabilistic occupancy grid built from a multi-resolution disparity map. Obstacles classification is based on an AdaBoost SoftCascade trained on Aggregate Channel Features. A final stage of tracking and fusion guarantees stability and robustness to the result.