7,238 research outputs found

    Bounded Determinization of Timed Automata with Silent Transitions

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    Deterministic timed automata are strictly less expressive than their non-deterministic counterparts, which are again less expressive than those with silent transitions. As a consequence, timed automata are in general non-determinizable. This is unfortunate since deterministic automata play a major role in model-based testing, observability and implementability. However, by bounding the length of the traces in the automaton, effective determinization becomes possible. We propose a novel procedure for bounded determinization of timed automata. The procedure unfolds the automata to bounded trees, removes all silent transitions and determinizes via disjunction of guards. The proposed algorithms are optimized to the bounded setting and thus are more efficient and can handle a larger class of timed automata than the general algorithms. The approach is implemented in a prototype tool and evaluated on several examples. To our best knowledge, this is the first implementation of this type of procedure for timed automata.Comment: 25 page

    Introduction of statistical information in a syntactic analyser for document image recognition

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    International audienceThis paper presents an improvement to document layout analysis systems, oering a possible solution to Sayre's paradox (which states that an element must be recognized before it can be segmented; and it must be segmented before it can be recognized). This improvement, based on stochastic parsing, allows integration of statistical information, obtained from recognizers, during syntactic layout analysis. We present how this fusion of numeric and symbolic information in a feedback loop can be applied to syntactic methods to improve document description expressiveness. To limit combinatorial explosion during exploration of solutions, we devised an operator that allows optional activation of the stochastic parsing mechanism. Our evaluation on 1250 handwritten business letters shows this method allows the improvement of global recognition scores

    Wave chaos in rapidly rotating stars

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    Effects of rapid stellar rotation on acoustic oscillation modes are poorly understood. We study the dynamics of acoustic rays in rotating polytropic stars and show using quantum chaos concepts that the eigenfrequency spectrum is a superposition of regular frequency patterns and an irregular frequency subset respectively associated with near-integrable and chaotic phase space regions. This opens new perspectives for rapidly rotating star seismology and also provides a new and potentially observable manifestation of wave chaos in a large scale natural system.Comment: 5 pages, 3 figures; accepted for publication in Phys. Rev.

    VARIATION IN LANDING DURING GYMNASTICS SKILLS

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    The aim of this study was to examine joint motion during landing from a variety of gymnastics skills. Twelve gymnasts performed a range of gymnastics skills with a landing component. Joint angles of the ankle, knee and hip were examined during landing from five different skills. There were significant differences between skills at all joints for peak flexion and extension (ankle, knee and hip:

    METHOD FOR THE DETECTION OF FATIGUE DURING GYMNASTICS TRAINING

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    The purpose of this study was to determine if acceleration measured at the pelvis was a suitable indicator of fatigue in gymnasts. Fourteen gymnasts performed vertical jumps and drop landings pre and post a fatiguing jumping activity. Peak acceleration during landing for jumps and drops increased significantly after fatiguing activity. Acceleration is a tool that can be collected with limited disruption to gymnastics training and an increase in peak acceleration during landing of simple jumps appears to be a useful tool for determining whether gymnasts are fatigued

    Intermittent Attractive Interactions Lead to Microphase Separation in Non-motile Active Matter

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    Non-motile active matter exhibits a wide range of non-equilibrium collective phenomena yet examples are crucially lacking in the literature. We present a microscopic model inspired by the bacteria {\it Neisseria Meningitidis} in which diffusive agents feel intermittent attractive forces. Through a formal coarse-graining procedure, we show that this truly scalar model of active matter exhibits the time-reversal-symmetry breaking terms defining the {\it Active Model B+} class. In particular, we confirm the presence of microphase separation by solving the kinetic equations numerically. We show that the switching rate controlling the interactions provides a regulation mechanism tuning the typical cluster size, e.g. in populations of bacteria interacting via type IV pili.Comment: 7 pages (4 figures) of main text plus 12 pages (2 figures) of supplementary informatio

    METHOD FOR ANALYSING THE RISK OF OVERUSE INJURY IN GYMNASTICS

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    The purpose of this study was to propose and assess a method for the evaluation of all loads experienced during gymnastics training. The method is based on the measurement of acceleration on the gymnast. Twelve gymnasts performed a range of gymnastics skills with an impact component. Ground reaction forces and acceleration at the pelvis were measured. There were significant correlations between peak GRF and peak acceleration during landing from gymnastics skills for individual participants. This testing showed the potential for this method to be applied in a study of injury risk factors outside the laboratory environment. At present, this relationship means that acceleration can be used as an estimation of force, after calibrating acceleration to ground reaction force for the individual

    Modelling of krypton-xenon separation by dynamic fixed-bed adsorption on zeolite

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    International audienceCurrently noble gases are separated by cryogenic distillation, which is an expensive process with safety constraints due to the cryogenic temperatures used. Adsorptive separation, such as temperature/pressure swing adsorption, is studying as it is considered as an energy, safety and cost effective alternative. Different selective materials are described in the literature from inorganic adsorbents based on physical adsorption to new metal-organic frameworks (MOFs) based on size and chemistry. This work focuses on the description of a modelling of Kr-Xe separation by selective adsorption on a chabazite zeolite in a fixed bed column
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