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本文仅以DGPS所采用的RTCM SC-104数据格式为例,对它的数据格式类型、电文内容和电文解码实现进行了论述,作为读者全面了解DGNSS数据流的向导。 相似文献
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We make the case for developing a Computational Comparative Neuroprimatology to inform the analysis of the function and evolution of the human brain.First, we update the mirror system hypothesis on the evolution of the language-ready brain by (i) modeling action and action recognition and opportunistic scheduling of macaque brains to hypothesize the nature of the last common ancestor of macaque and human (LCA-m); and then we (ii) introduce dynamic brain modeling to show how apes could acquire gesture through ontogenetic ritualization, hypothesizing the nature of evolution from LCA-m to the last common ancestor of chimpanzee and human (LCA-c). We then (iii) hypothesize the role of imitation, pantomime, protosign and protospeech in biological and cultural evolution from LCA-c to Homo sapiens with a language-ready brain.Second, we suggest how cultural evolution in Homo sapiens led from protolanguages to full languages with grammar and compositional semantics.Third, we assess the similarities and differences between the dorsal and ventral streams in audition and vision as the basis for presenting and comparing two models of language processing in the human brain: A model of (i) the auditory dorsal and ventral streams in sentence comprehension; and (ii) the visual dorsal and ventral streams in defining “what language is about” in both production and perception of utterances related to visual scenes provide the basis for (iii) a first step towards a synthesis and a look at challenges for further research. 相似文献
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介绍了基于数据流处理的数字仿真技术的基本概念及特点,结合现代电子战装备性能评估的需求,阐述了基于数据流处理的仿真技术在电子战装备性能评估中的具体应用和发展前景. 相似文献
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Tidal turbines are subject to large hydrodynamic loads from combinations of currents and waves, which contribute significantly to fatigue, extreme loading and power flow requirements. Physical model testing enables these loads and power fluctuations to be assessed and understood in a controlled and repeatable environment. In this work, a 1:15 scale tidal turbine model is utilised to further the fundamental understanding of the influence of waves on tidal turbines. A wide range of regular waves are generated in both following-current and opposing-current conditions. Wave frequencies range from 0.31 Hz to 0.55 Hz & wave heights from 0.025 m to 0.37 m in a fixed 0.81 m/s current velocity. Waves are selected and programmed specifically to facilitate frequency domain analysis, and techniques are employed to isolate the effect of non-linear waves on turbine power and thrust.Results demonstrate that wave action induces large variations in turbine power and thrust compared to current only conditions. For the range of conditions tested, peak values of thrust and power exceed current-only values by between 7%–65% and 13%–160% respectively. These wave-induced fluctuations are shown to increase with wave amplitude and decrease with wave frequency. Following wave conditions exhibit greater variations than opposing for waves with the same wave height and frequency due to the lower associated wavenumbers.A model is developed and presented to aid the understanding of the high-order harmonic response of the turbine to waves, which is further demonstrated using steady state coefficients under assumptions of pseudo-stationarity. This approach is proven to be effective at estimating wave-induced power and thrust fluctuations for the combinations of waves, currents and turbine state tested. The outcome of which shows promise as a rapid design tool that can evaluate the effect of site-specific wave–current conditions on turbine performance. 相似文献
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在数据流中挖掘频繁项集得到了广泛的研究,传统的研究方法大多关注于在数据流中挖掘全部频繁项集.由于挖掘全部频繁项集存在数据和模式冗余问题,所以对算法的时间和空间效率都具有更大的挑战性.因此,近年来人们开始关注在数据流中挖掘频繁闭项集,其中一个典型的工作就是Moment算法.本文提出了一种数据流中频繁闭项集的近似挖掘算法A-Moment.它采用衰减窗口机制、近似计数估计方法和分布式更新信息策略来解决Moment算法中过度依赖于窗口和执行效率低等问题.实验表明,该算法在保证挖掘精度的前提下,可以比Moment获得更好的效率. 相似文献