4,812 research outputs found
Evaluation of ERTS-1 image sensor spatial resolution in photographic form
There are no author-identified significant results in this report
Ecological notes on the East Gippsland burrowing crayfish Engaeus orientalis, including burrow structure and associated fauna
Despite Australia having a high diversity of freshwater crayfish species, the ecology of many of these species remains poorly known, particularly burrowing crayfish of the genus Engaeus. Biological information on colour, behaviour, burrow structure, associated burrow fauna and habitat of the East Gippsland Burrowing Crayfish Engaeus orientalis obtained during incidental observations in 2007 and 2008 is provided. The burrow structure took the form of radiating runways under a rock slab, while the burrow location was in a semi-disturbed site away from water. Both are atypical for this species
A high altitude observation of the beautiful firetail Stagonopleura bella from East Gippsland, Victoria
There has been little research on the ecological requirements of the Beautiful Firetail Stagonopleura bella, and its habitat preferences are poorly understood. On mainland Australia, the Beautiful Firetail is generally considered to be a bird of coastal regions and the lowlands. This note reports an observation of Beautiful Firetails on the Great Dividing Range at a height of more than 1100 metres above sea level from an atypical habitat for mainland Australia. It appears that the observation may be the highest altitude at which this species has been recorded on the mainland
Simulations of the dynamic switching of vortex chirality in magnetic nanodisks by a uniform field pulse
We present a possibility to switch the chirality of a spin vortex occurring
in a magnetic nanodisk by applying a uniform in-plane field pulse, based on
optimizing its strength and duration. The related spin-dynamical process,
investigated by micromagnetic simulations, consists of several stages. After
applying the field, the original vortex is expelled from the disk, after which
two C-shaped states oscillate between each other. The essence of the method is
based on turning the field off at a suitably chosen moment for which the
orientation of the C-state will evolve into the nucleation of a vortex with the
desirable chirality. This idea simply uses the information about the original
chirality present inside the nanodisk during the dynamic process before losing
it in saturation, and can thus be regarded as analogous to the recent studies
on the polarity switching.Comment: In this version only small formal changes are mad
Process behavior and product quality in fertilizer manufacturing using continuous hopper transfer pan granulation—Experimental investigations
Fertilizers are commonly used to improve the soil quality in both conventional and organic agriculture. One such fertilizer is dolomite for which soil application in granulated form is advantageous. These granules are commonly produced from ground dolomite powder in continuous pan transfer granulators. During production, the granulator’s operation parameters affect the granules’ properties and thereby also the overall performance of the fertilizer. To ensure product granules of certain specifications and an efficient overall production, process control and intensification approaches based on mathematical models can be applied. However, the latter require high-quality quantitative experimental data describing the effects of process operation parameters on the granule properties. Therefore, in this article, such data is presented for a lab-scale experimental setup. Investigations were carried out into how variations in binder spray rate, binder composition, feed powder flow rate, pan inclination angle, and angular velocity affect particle size distribution, mechanical stability, and humidity. Furthermore, in contrast to existing work samples from both, pan granules and product granules are analyzed. The influence of operation parameter variations on the differences between both, also known as trajectory separation, is described quantitatively. The results obtained indicate an increase in the average particle size with increasing binder flow rate to feed rate and increasing binder concentration and the inclination angle of the pan. Compressive strength varied significantly depending on the operating parameters. Significant differences in properties were observed for the product and the intermediate (pan) samples. In fact, for some operation parameters, e.g., binder feed rate, the magnitude of the separation effect strongly depends on the specific value of the operation parameter. The presented concise data will enable future mathematical modeling of the pan granulation process, e.g., using the framework of population balance equations
Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search
International audienceLocal Policy Search is a popular reinforcement learning approach for handling large state spaces. Formally, it searches locally in a parameterized policy space in order to maximize the associated value function averaged over some pre-defined distribution. The best one can hope in general from such an approach is to get a local optimum of this criterion. The first contribution of this article is the following surprising result: if the policy space is convex, any (approximate) local optimum enjoys a global performance guarantee. Unfortunately, the convexity assumption is strong: it is not satisfied by commonly used parameterizations and designing a parameterization that induces this property seems hard. A natural so-lution to alleviate this issue consists in deriving an algorithm that solves the local policy search problem using a boosting approach (constrained to the convex hull of the policy space). The resulting algorithm turns out to be a slight generalization of conservative policy iteration; thus, our second contribution is to highlight an original connection between local policy search and approximate dynamic pro-gramming
On Convergence Properties of Shannon Entropy
Convergence properties of Shannon Entropy are studied. In the differential
setting, it is shown that weak convergence of probability measures, or
convergence in distribution, is not enough for convergence of the associated
differential entropies. A general result for the desired differential entropy
convergence is provided, taking into account both compactly and uncompactly
supported densities. Convergence of differential entropy is also characterized
in terms of the Kullback-Liebler discriminant for densities with fairly general
supports, and it is shown that convergence in variation of probability measures
guarantees such convergence under an appropriate boundedness condition on the
densities involved. Results for the discrete setting are also provided,
allowing for infinitely supported probability measures, by taking advantage of
the equivalence between weak convergence and convergence in variation in this
setting.Comment: Submitted to IEEE Transactions on Information Theor
Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits
International audienceIn this paper, we study the problem of estimating the mean values of all the arms uniformly well in the multi-armed bandit setting. If the variances of the arms were known, one could design an optimal sampling strategy by pulling the arms proportionally to their variances. However, since the distributions are not known in advance, we need to design adaptive sampling strategies to select an arm at each round based on the previous observed samples. We describe two strategies based on pulling the arms proportionally to an upper-bound on their variances and derive regret bounds for these strategies. %on the excess estimation error compared to the optimal allocation. We show that the performance of these allocation strategies depends not only on the variances of the arms but also on the full shape of their distributions
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