560 research outputs found

    Discussion

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    In this contribution aspects of inter-sample input signal behavior are examined. The starting point is that parametric identication always is performed on basis of discrete-time data. This is valid for identication of discrete-time models as well as continuous-time models. The usual assumptions on the input signal are; i) it is band-limited, ii) it is piecewise constant or iii) it is piecewise linear. One point made in this paper is that if a discrete-time model is used, the best possible (in the model structure) adjustment to data is made. This is independent of the assumption on the input signal. However, a transformation of the obtained discrete model to a continuous one is not possible without additional assumptions on the input signal. The other point made is that the frequency functions of the discrete models very well coincides with the frequency functions of the discretized continuous time models and the continuous time transfer function fitted in the frequency domain

    Playing It by Ear: An Intelligent Sonar Guided Robot

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    This thesis describes a Self Contained Independent Mobile Robot (SCIMR) capable of understanding and roving about in a simple but very real world: the Moore School\u27s hallways and intersections. SCIMR learns the topology of his world much as a messenger or taxi driver would, by being told how to get places and piecing the instructions together to form an internal map. SCIMR requires fewer directions as he learns, since new locations may be described relative to places SCIMP already knows. SCIMR is capable of perceiving and remembering his environment, and using his Memories to guide his actions. The robot is totally self contained and requires no external processors or guidance equipment. Unlike wire or stripe guided vehicles, SCIMR requires no environmental preprocessing. Efficient control methodology, especially multiprocessing and multitasking techniques, allows small computers to drive the robot in real time without processor induced delays

    Frequency Dependent Error Bounds for Uncertain Linear Models

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    Mode Shift as a Measure to Reduce Greenhouse Gas Emissions

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    AbstractForecasts indicate that it is not possible to reduce total greenhouse gas (GHG) emissions from transport to fulfil the target of two degrees global warming with technology means alone. It is possible to reduce GHG-emissions for all modes but still rail will be the most efficient mode by 2050. Rail has a modest market share in the EU in comparison with ‘best practice’ rail systems in the world. There is a big potential if the rail system is developed with new high speed rail and freight corridors as well as an upgraded conventional network and intermodal systems.This paper presents an estimation of the effects of a partial mode shift to rail transport applying world's ‘best practice’ by the year 2050. It is shown that such a mode shift to rail can reduce EU transport GHG emissions over land by about 20%, compared with a baseline scenario. In combination with lowcarbon electricity production a reduction of about 30% may be achieved. A developed rail system can thus substantially contribute to the EU target of reducing GHG emissions in the transport sector by 60% below 1990 levels. To enable such a mode shift and to manage the demand for capacity, there is a need ofinvestments. This will also maintain and increase mobility for passengers and freight transport

    Dynamic Investigative Practice at the International Criminal Court

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    The Direct Weight Optimization (DWO) approach is a nonparametric estimation approach that has appeared in recent years within the field of nonlinear system identification. In previous work, all function classes for which DWO has been studied have included only continuous functions. However, in many applications it would be desirable also to be able to handle discontinuous functions. Inspired by the bilateral filter method from image processing, such an extension of the DWO framework is proposed for the smoothing problem. Examples show that the properties of the new approach regarding the handling of discontinuities are similar to the bilateral filter, while at the same time DWO offers a greater flexibility with respect to different function classes handled

    Computationally efficient simulation methodology for railway repair welding: cyclic plasticity, phase transformations and multi-phase homogenization

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    The in-situ railway repair welding process consists of multiple weld passes, which makes it significantly different from other rail welding processes. In this study, finite element simulations of repair welding are performed to predict the resulting microstructure and residual stresses. To accurately simulate the material behaviour, the modelling includes phase transformation kinetics, cyclic hardening plasticity, transformation induced plasticity, and multi-phase homogenization. More specifically, four different homogenization methods are investigated: isostrain, isostress, self-consistent and linear mixture rule. The performance of the material modelling is demonstrated by simulating multiple weld passes using a classical three-bar welding experiment. Based on the results, the self-consistent method and linear mixture rule are used in a 3D full-scale railhead repair weld simulation, in which the former generates a more realistic mechanical response. The immense computational cost associated with 3D full-scale, full-detail multi-pass welding simulations is addressed by exploring different model reduction schemes. From this study, a 2D generalized plane strain model, extended with out-of-plane axial and bending stiffness, is found to replicate the full-scale model at a mere fraction of the computational cost. Finally, the longitudinal residual stress distribution obtained from the reduced model is shown to correlate well with experimental measurements

    (SNP005) Sallie Atkins interviewed by Dorothy Noble Smith, transcribed by Peggy C. Bradley

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    Records the reminiscences of sisters Sallie Atkins and Lela Dodson, who were raised in in a one room log cabin near Hazel Mountain, Virginia, prior to the establishment of Shenandoah National Park in 1934. They are joined by childhood friend, Beulah Atkins, who lived nearby. Describes home and family life, daily chores, schooling, holidays and community events. Among the topics discussed are the growing, harvesting and preserving of food, soap making, raising livestock and wild game hunting. Includes references to the tan bark industry, wakes and funerals, and local shoemakers and merchantshttps://commons.lib.jmu.edu/snp/1004/thumbnail.jp

    NEW EVALUATION TOOLS FOR MEETING THE EU DIRECTIVE ON AIR POLLUTION LIMITS

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    The air quality in Sweden is strongly influenced by the geographic location and the climate in the northern part of Europe. During wintertime, the temperature is often below zero degree and rain and snow are common which cause slippery roads and needs for house heating. For anti-skid treatment, studded tyres and sand are frequently used which create a lot of road wear particles. Residential wood combustion is a common primary or supplementary spac
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