999 resultados para Brouwer, Adriaen, d. 1638.


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十五种希土D-葡萄糖酸配合物的红外和拉曼光谱非常相似,结构类同,配合物的糖酸谱带明显展宽,羧酸根的对称和反对称振动谱带相差200cm~(-1),与希土离子单齿配位,糖酸为β构型,吡喃环上的O_1和O_5也参予配位,希土离子配位数是9。

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This paper alms at illustrating the impact of spatial difference scheme and spatial resolution on the performance of Arakawa A-D grids in physical space. Linear shallow water equations are discretized and forecasted on Arakawa A-D grids for 120-minute using the ordinary second-order (M and fourth-order (C4) finite difference schemes with the grid spacing being 100 km, 10 km and I km, respectively. Then the forecasted results are compared with the exact solution, the result indicates that when the grid spacing is I kin, the inertial gravity wave can be simulated on any grid with the same results from C2 scheme or C4 scheme, namely the impact of variable configuration is neglectable; while the inertial gravity wave is simulated with lengthened grid spacing, the effects of different variable configurations are different. However, whether for C2 scheme or for C4 scheme, the RMS is minimal (maximal) on C (D) grid. At the same time it is also shown that when the difference accuracy increases from C2 scheme to C4 scheme, the resulted forecasts do not uniformly decrease, which is validated by the change of the group A velocity relative error from C2 scheme to C4 scheme. Therefore, the impact of the grid spacing is more important than that of the difference accuracy on the performance of Arakawa A-D grid.

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Song and Banner (2002, henceforth referred to as SB02) used a numerical wave tank (developed by Drimer and Agnon, and further refined by Segre, henceforth referred to as DAS) to study the wave breaking in the deep water, and proposed a dimensionless breaking threshold that based on the behaviour of the wave energy modulation and focusing during the evolution of the wave group. In this paper, two modified DAS models are used to further test the SB02's results, the first one (referred to MDAS1) corrected many integral calculation errors appeared in the DAS code, and the second one (referred to MDAS2) replaced the linear boundary element approximation of DAS into the cubic element on the free surface. Researches show that the results of MDAS1 are the same with those of DAS for the simulations of deep water wave breaking, but, the different values of the wavemaker amplitude, the breaking time and the maximum local average energy growth rate delta(max) for the marginal breaking cases are founded by MDAS2 and MDAS1. However, MDAS2 still satisfies the SB02' s breaking threshold. Furthermore, MDAS1 is utilized to study the marginal breaking case in the intermediate water depth when wave passes over a submerged slope, where the slope is given by 1 : 500, 1 : 300, 1 : 150 or 1 : 100. It is found that the maximum local energy density U increases significantly if the slope becomes steeper, and the delta(max) decreases weakly and increases intensively for the marginal recurrence case and marginal breaking case respectively. SB02's breaking threshold is still valid for the wave passing over a submerged slope gentler than 1 : 100 in the intermediate water depth.

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本文所述为磷虾声学探测系统的一部分——接收机及高速A/D换器。该系统的设计旨在克服过去南大洋科学考察所用声学评估系统信号补偿不够精确、动态范围较窄、实时处理能力较差等不足。接收机具有宽动态范围及精确的20LoG(R)和40LoG(R)损耗补偿,8位高速A/D换将数据信号送计算机,使得生物量和声物反射能力的计算得以实时进行。

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牦牛的起源与属级分类学地位至今仍然存在一定的争议.我们测定了家养牦牛和野生牦牛线粒体控制区(D-loop)序列,并以此构建牦牛和牛属、野牛属、水牛属以及非洲水牛属相关种的系统发育树.研究结果表明线粒体D-loop区与Cyt b基因序列在构建牛族的系统发育具有同样重要的价值.系统发育关系显示野牛属的灭绝种草原野牛与现存种美洲野牛先聚合为一单系群,然后再和牦牛形成一单系分支,表明牦牛与野牛属的草原野牛、美洲野牛亲缘关系最近,具有最近的共同祖先,而与牛属的其它亚洲物种亲缘关系较远.因此,本研究不支持将牦牛独立为牦牛属--Poephagus,牛属与野牛属在分类上也应合并为一个属.基于上述研究结果和化石证据,我们进一步对牦牛起源的历史背景进行了讨论,认为牦牛与野牛属的分化是由于第四纪气候变化在欧亚大陆发生的,野牛通过白令陆桥进入北美;冰期结束后,由于欧亚大陆其它地区温度升高,牦牛只能局限分布在较为寒冷的青藏高原;而野牛属在北美先后分化为草原野牛和美洲野牛,前者可能是后者的直接祖先.

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针对江河源退化草地治理与示范项目要求,在果洛州玛沁县大武乡格多牧委会人工和半人工草场上,使用D肉毒杀鼠素对高原鼠兔Ochotona curzoniae进行现场药效试验和大面积灭鼠。结果表明,0.1%和0.2%D内毒杀鼠素毒饵时鼠兔具有良好的灭杀效果,且不污染环境,无二次中毒,对保护鼠粪天敌,维持生态平衡,控制害鼠种群数量回升,减少扩散,使治理后的草场植被再次免遭破坏等方面均具良好作用.

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A simple, sensitive, and mild method for the determination of amino compounds based on a condensation reaction with 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide hydrochloride (EDC-HCI) as the dehydrant with fluorescence detection has been developed. Amines were derivatized to their acidamides with labeling reagent 2-(2-phenyl-1H-phenanthro-[9,10-d]imidazole-1-yl)-acetic acid (PPIA). Studies on derivatization conditions indicated that the coupling reaction proceeded rapidly and smoothly in the presence of a base catalyst in acetonitrile to give the corresponding sensitively fluorescent derivatives with an excitation maximum at lambda(ex) 260nm and an emission maximum at lambda(em) 380nm. The labeled derivatives exhibited high stability and were enough to be efficiently analyzed by high-performance liquid chromatography. Identification of derivatives was carried out by online post-column mass spectrometry (LC/APCI-MS/MS) and showed an intense protonated molecular ion corresponding m/z [MH](+) under APCI in positive-ion mode. At the same time, the fluorescence properties of derivatives in various solvents or at different temperature were investigated. The method, in conjunction with a gradient elution, offered a baseline resolution of the common amine derivatives on a reversed-phase Eclipse XDB-C-8 column. LC separation for the derivatized amines showed good reproducibility with acetonitrile-water as mobile phase. Detection limits calculated from 0.78 pmol injection, at a signal-to-noise ratio of 3, were 3.1-18.2 fmol. The mean intra- and inter-assay precision for all amine levels were < 3.85% and 2.11%, respectively. Excellent linear responses were observed with coefficients of > 0.9996. The established method for the determination of aliphatic amines from real wastewater and biological samples was satisfactory. (c) 2006 Elsevier B.V. All rights reserved.

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非线性系统辨识是现代控制理论的一个重要分支,是人们认识非线性系统的理论基础。今年来,利用神经网络辨一识非线性系统,是非线性系统辨识理论i}jf究的热点,现己形成了比较完善的理论体系。本文以某种反坦克导弹武器系统的弹道轨迹辨识为背景,在研究神经网络的辨识理论基础上,更深入地研究了纂于小波网络与模糊神经网络的非线性系统辨识的方法。一方面完善了现有的理沦,另佩方面提出了几种新的算法,主要内容如下:(1)提出了一种基于输入变量重要性指标的神经网络输入变量选择算法,对候选输入变量的重要性进行降序排序,引入一种正规化准则函数作为性能指标,最终确定同时具有良好的逼近能力和泛化能力的输入组合。该算法同基于宽度优先的搜索树算法相比,效率明佩Ul-Ul-提高。(2)基于小波多分辨率分析理论,引入非正交的小波基,从低尺度到高尺度逐渐逼近,L2(Rd)上的非线性连续函数,并且引用递推思想对辨识的偏差再进行多分辨率辨识,这样既降低了对正交小波基的要求,又能以较高的精度来辨识。(3)针对高维非线性系统,提出一种基于正交化思想的小波网络的参数和结构辨识算法。提出递推正交最小二乘法RGLS实现对小波向量矩阵的正交分 解,同传统的CGS, MGS算法相比,ROLE算法计算量小,可实现权值参数的在线辨识。利用ROLS算法的结果,采用从复杂到简单及从简单到复杂两种思想进行结构辨识,结构辨识算法是在上三角矩阵上进行的,而不是在小波向量矩阵上进行的,且在上述两种结构辨识算法中都不需要 重新训练网络,计碑算量小,运行效率高。本文所提的小波网络辨识方法,改变以往小波网络受限于低维非线性系统的状况。(4)针对基于聚类的模糊神经网络对维数不敏感,国内外很多研究集中到聚类算法上。本文完善了Ching-Chang Wong等1999年,提出的一种新聚类算一法,并根据Brouwer不动点定理给出了算法收敛的理论证明,该聚类算法同其他聚类算法相比不需预先知道聚类数目及初始中心点的设置,且.有较好的聚类效果。在新聚类算法的基础上,建立一阶TSK模糊神经网络模型,进行非线性系统辨识,收到很好的辨识效果。(5)对Ching-Hung Lee等2000年,提出的一种递归型模糊神经网络,引入遗传算法来完善该网络的学习算法。利用新聚类算法的结果,对初始种群的个体进行初始化,避免了通常采用遗传算法由于初始值选择不当而产生的早熟问题。对种群中的个体采用实数编码,实现网络参数的全局寻优。

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This paper gives a brief review of R&D researches for light olefin synthesis directly and indirectly from synthesis gas in the Dalian Institute of Chemical Physics (DICP). The first pilot plant test was on methanol to olefin (MTO) reaction and was finished in 1993, which was based on ZSM-5-type catalyst and fixed bed reaction. In the meantime, a new indirect method designated as SDTO (syngas via dimethylether to olefin) was proposed. In this process, metal-acid bifunctional catalyst was applied for synthesis gas to dimethylether(DME) reaction, and modified SAPO-34 catalyst that was synthesized by a new low-cost method with optimal crystal size was used to convert DME to light olefin on a fluidized bed reactor. The pilot plant test on SDTO was performed and finished in 1995. Evaluation of the pilot plant data showed that 190-200 g of DME were yielded by single-pass for each standard cubic meter of synthesis gas. For the second reaction, 1.880 tons of DME or 2.615 tons of methanol produced 1 ton of light olefins, which constitutes of 0.533 ton of ethylene, 0.349 ton of propylene and 0.118 ton of butene. DICP also paid some attention on direct conversion of synthesis gas to light olefins. A semi-pilot plant test (catalyst 1.8 1) was finished in 1995 with a CO conversion > 70% and a C(2)(=)-C(4)(=) olefin selectivity 71-74% in 1000 h. (C) 2000 Published by Elsevier Science B.V. All rights reserved.