3,521 research outputs found

    A.& P. Office Force, now the A.T. & S.F., July 1, 1897

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    Group portrait of mean and women seated and standing on porch outside a building with boardwalk in front; captioned "A.& P. Office Force, now the A.T. & S.F., July 1, 1897"; includes W.H. Springer, O.A. Watson, Clarence Jones, Ellis (surname), and Stewart (surname); printing-out paper on card moun

    Toponymical lexics in the pre-war period of A.T. Tvardovskiy’s creative work

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    The pre-war period (1926-1940) of A.T. Tvaedovskiy’s creative work, the great poet of the 20yh century, born in the Smolensk Region, is a period of his rising as an insuperable master of word, a people’s tribune, the time when the main traits of his poetry were developed and when his formation as a founder of the Smolensk Poetic School occurred. One of the central themes of the SPS poets, and first of all, A.T. Tvardovskiy himself, was the theme of “the minor” and “the big”. Motherland, which was materialized in significant motives through a system of toponyms. i.e. the names of geograpphical places. The article analyzes a system of macro- and mictrotoponyms and demonstrates their part in revealing of the thematical content of numerous pre-war poems (A Trip to Zagorye, 1939, Station Pochinok, 1936, and others), as well the first epical poem of the author Strana Muraviya (1936)

    Embodied Evolution: Distributing an evolutionary algorithm in a population of robots

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    We introduce Embodied Evolution (EE) as a new methodology for evolutionary robotics (ER). EE uses a population of physical robots that autonomously reproduce with one another while situated in their task environment. This constitutes a fully distributed evolutionary algorithm embodied in physical robots. Several issues identified by researchers in the evolutionary robotics community as problematic for the development of ER are alleviated by the use of a large number of robots being evaluated in parallel. Particularly, EE avoids the pitfalls of the simulate-and-transfer method and allows the speed-up of evaluation time by utilizing parallelism. The more novel features of EE are that the evolutionary algorithm is entirely decentralized, which makes it inherently scalable to large numbers of robots, and that it uses many robots in a shared task environment, which makes it an interesting platform for future work in collective robotics and Artificial Life. We have built a population of eight robots and successfully implemented the first example of Embodied Evolution by designing a fully decentralized, asynchronous evolutionary algorithm. Controllers evolved by EE outperform a hand-designed controller in a simple application. We introduce our approach and its motivations, detail our implementation and initial results, and discuss the advantages and limitations of EE

    Efficient implementation of the domain-integrated field relations method for quasi-static magnetic fields

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    Author accepted manuscript of the 17th Annual Review of Progress in Applied Computational Electromagnetics, Monterey, pp. 337-344, 19 Mar 2001 → 23 Mar 2001Electrical Engineering, Mathematics and Computer Scienc

    Kinetics of epoxy-asphalt oxidation

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    In-depth understanding of the temperature effect on oxidative aging in epoxy-asphalt blends is needed to enable accurate predictions on material response through their service life. Details of the significance of developing prediction models and tools on oxidative aging of pavement materials are presented in a companion paper (Apostolidis et al., Oxidation Simulation of Thin Bitumen Film. AM3P). In this research, the chemical compositional changes of epoxy modified asphalt binders, with and without filler, were analysed after oven-conditioning by means of Fourier transform infrared (FTIR) spectroscopy. With the carbonyl and sulfoxide compounds as aging indices, the sensitivity of chemical compositional changes of bituminous and epoxy-based systems due to the applied temperatures was observed.Accepted Author ManuscriptPavement Engineerin

    Constraint Propagation and Reverse Multi-Agent Learning

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    The development of multi-agent reinforcement learning has been largely driven by the question of how to design learning algorithms to reach some particular notion of optimality of strategies, e.g. Nash equilibria. The set of optimal strategies is not known before the execution of the learning algorithm,however we can often immediately identify a set of clearly undesirable outcomes. Therefore, we propose to consider a dual problem: given a collection of agent algorithms and a collection of unwanted strategy profiles, can one identify a setof starting strategies that invariably lead there? This leads us to study the algorithmic problem of backpropagation of con-straints defining the forbidden region by learning dynamics,through the lens of set-valued maps and interval arithmetics.Accepted author manuscriptInteractive Intelligenc

    Signal Integrity in Pulse-train Excited Array Antennas in Time and Space - A Full TD Analysis

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    Signal integrity in the far-field radiation from pulse-train excited array antennas is studied via full timedomain instruments. The disturbance in the received signal is related to the fidelity factor. At any point in our analysis, the disturbance is evaluated based on a reduced, well defined set of parameters: pulse parameters and pulse repetition rate – temporal dependence, and elementary radiator location – spatial dependence. Their effect is examined by means of illustrative numerical experiments. These results are expedient for enhancing the detectability of the signals radiated by pulse-train excited array antennas, as needed in wireless digital transfer.Accepted author manuscriptEEMS - GeneralTera-Hertz Sensin

    Transient diffusive electromagnetic fields in layerd anisotropic media

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    Electrical Engineering, Mathematics and Computer Scienc
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