936 resultados para overall dynamic body acceleration (ODBA)


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

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Urban Mass Transportation Administration, Washington, D.C.

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

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

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Urban Mass Transportation Administration, Washington, D.C.

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The article highlights that the traditional conflict/cooperation dichotomy which characterised the dynamic of European Union (EU)–Russia relation during the post-Cold War period has remained stable throughout the Ukraine crisis. It identifies a pattern of continuity rather than change in the main characteristics of the traditional conflict/cooperation dichotomy: the post-Cold War order on the European continent, values and worldviews, perceptions of self and other, and policies towards each other and post-Soviet space. Secondly, in tune with neoclassical realism the article aims to account for the relative persistence of the conflict/cooperation dichotomy. It argues that the dynamic of EU–Russia relations remained rather stable due to the fact that neither the EU nor Russian foreign policy has undergone major transformations (of both power, scope and organisation) that would provide incentive or constrains for a complete overhaul of the conflict/cooperation dichotomy. Moreover, the article claims that the relative stability of world politics since the start of the Ukraine crisis has not given any the EU and Russia incentives – or constrained them – to seek to change the overall dynamic of their relationship.

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As its title indicates, this book, which is divided into four chapters, seeks to provide an overview of “the diverse political, social and cultural functions that interfaith marriage alliances and other sexual encounters fulfilled within the overall dynamic of Christian- Muslim relations in the Iberian Peninsula during the medieval period, both within al- Andalus (…) and the expansionist Christian-dominated polities of the North” (4). In this sense, its chronological span reaches from the early eighth century (the conquest of the Iberian Peninsula by the Muslims) to 1492 (the Christian conquest of the Nasrid Kingdom of Granada)

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This paper presents the mathematical development of a body-centric nonlinear dynamic model of a quadrotor UAV that is suitable for the development of biologically inspired navigation strategies. Analytical approximations are used to find an initial guess of the parameters of the nonlinear model, then parameter estimation methods are used to refine the model parameters using the data obtained from onboard sensors during flight. Due to the unstable nature of the quadrotor model, the identification process is performed with the system in closed-loop control of attitude angles. The obtained model parameters are validated using real unseen experimental data. Based on the identified model, a Linear-Quadratic (LQ) optimal tracker is designed to stabilize the quadrotor and facilitate its translational control by tracking body accelerations. The LQ tracker is tested on an experimental quadrotor UAV and the obtained results are a further means to validate the quality of the estimated model. The unique formulation of the control problem in the body frame makes the controller better suited for bio-inspired navigation and guidance strategies than conventional attitude or position based control systems that can be found in the existing literature.

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With the emerging prevalence of smart phones and 4G LTE networks, the demand for faster-better-cheaper mobile services anytime and anywhere is ever growing. The Dynamic Network Optimization (DNO) concept emerged as a solution that optimally and continuously tunes the network settings, in response to varying network conditions and subscriber needs. Yet, the DNO realization is still at infancy, largely hindered by the bottleneck of the lengthy optimization runtime. This paper presents the design and prototype of a novel cloud based parallel solution that further enhances the scalability of our prior work on various parallel solutions that accelerate network optimization algorithms. The solution aims to satisfy the high performance required by DNO, preliminarily on a sub-hourly basis. The paper subsequently visualizes a design and a full cycle of a DNO system. A set of potential solutions to large network and real-time DNO are also proposed. Overall, this work creates a breakthrough towards the realization of DNO.

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With the emerging prevalence of smart phones and 4G LTE networks, the demand for faster-better-cheaper mobile services anytime and anywhere is ever growing. The Dynamic Network Optimization (DNO) concept emerged as a solution that optimally and continuously tunes the network settings, in response to varying network conditions and subscriber needs. Yet, the DNO realization is still at infancy, largely hindered by the bottleneck of the lengthy optimization runtime. This paper presents the design and prototype of a novel cloud based parallel solution that further enhances the scalability of our prior work on various parallel solutions that accelerate network optimization algorithms. The solution aims to satisfy the high performance required by DNO, preliminarily on a sub-hourly basis. The paper subsequently visualizes a design and a full cycle of a DNO system. A set of potential solutions to large network and real-time DNO are also proposed. Overall, this work creates a breakthrough towards the realization of DNO.