GPS和水准测量相结合在工程中的应用

文章结合某工程,详细论述了GPS和水准测量相结合的基本原理及工作方法,并得出了有益的结论.     

超微粒子的量子阻尼振动理论

根据SU(1,1)Lie代数,建立超微粒子的量子阻尼振动理论,得到超微粒子量子阻尼振动系统的能级和波函数。     

压力计探测液面法探讨

针对油田地质特征复杂，易结蜡，测试中易出现假液面等情况，为准确快速测得液面资料，提出压力计测试液面法。该方法可作为回声仪测液面方法的有效补充。     

稀疏阵列天线综合的遗传算法优化

通过遗传算法优化选择常规满阵中一定比例的工作单元,使阵列在欠饱和状态下达到窄波束低副瓣的要求。以单元的工作状态和激励幅度为优化参量,波束宽度和副瓣电平为适值函数,通过适值缩放和多种群进化竞争使遗传进化稳定地收敛到全局最优。详细分析了稀疏阵的单元布局、稀疏率及单元激励对优化阵列特性的影响。     

大庆油田三类油层聚合物驱注入速度研究

注入速度是影响聚合物驱开发效果的重要指标,而由于假设条件的局限性,数值模拟方法无法体现聚合物溶液弹性对注入速度的影响。为了确定大庆油田三类油层合理注入速度,通过不同注入速度条件下的天然岩心驱油试验,对水驱和聚合物驱驱油效率进行了研究,结果表明,聚合物驱驱油效率提高值随驱替速度的变化可由二次多项式来表示。依据此关系式,由势的叠加理论得到的流体在油层中的渗流速度的基础上,建立了该类油层合理注入速度模型,并给出大庆油田三类油层在100 m注采井距下的合理注入速度为0.288 PV年/,该方法对现场开发方案编制有重要指导意义。     

基于曲线进化的目标检测算法

提出了基于曲线进化的运动目标检测算法。对于运动目标检测问题定义了新颖的能量模型,并给出了相应的曲线进化方程。结合水平集算法,所提出的曲线进化模型能够自动的适应拓扑变化,检测出多个运动目标区域及轮廓。从计算物理学领域引入基于偏微分方程的水平集窄带算法,在构造窄带时无需显示的知道曲线的位置,并能够快速的实现。     

龙滩工程按正常蓄水位400m方案一次建成效益巨大

2003年11月龙滩工程将实现大江截流，随着工程建设的全面推进，越发显出实施龙滩水电站正常蓄水位400m一次建成方案的重要性和紧迫性。相对分期建设而言，400m水位一次建成，工程效益大、增加投资少、无后期加高过程中的各种技术难题，基本不影响电站的初期发电效益，水轮机设计与运行问题少、机组运行条件好，电站规模效益与社会综合效益巨大，有利于移民安置和库区经济的发展，对国家、地方、企业均十分有利，因此应尽快决策实施400m一次建成方案。     

Characterisation of a 300× photovoltaic concentrator system with one-axis tracking

A solar concentrator with one-axis tracking is being developed at our institute. This concentrator system achieves a high geometrical concentration ratio of 300 using a parabolic trough mirror and a three-dimensional second stage consisting of compound parabolic concentrators. The design of the system as well as the characterisation of the second stage is described in this paper.     

Acculturation, Familism, Parental Monitoring, and Knowledge as Predictors of Marijuana and Inhalant Use in Adolescents.

The authors investigated relationships between marijuana and inhalant use and several cultural and demographic factors in Anglo American and Hispanic American adolescents (N=1,094). Outcome measures assessed lifetime and 30-day marijuana and inhalant use. Predictors and covariates used in logistic regression analyses were region, grade, gender, knowledge, acculturation, familism, and parental monitoring. Hispanic Americans exhibited higher usage across all measures. In this group, high acculturation was associated with low marijuana, but high inhalant, use. Across all participants, positive family relations and parental monitoring were strongly associated with attenuated marijuana use hut only among those most knowledgeable about drugs. Familism and monitoring were not associated with diminished usage among the less knowledgeable. For inhalants, monitoring combined with high knowledge or high familism was associated with diminished usage. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Vote counting measures for ensemble classifiers

Various measures, such as Margin and Bias/Variance, have been proposed with the aim of gaining a better understanding of why Multiple Classifier Systems (MCS) perform as well as they do. While these measures provide different perspectives for MCS analysis, it is not clear how to use them for MCS design. In this paper a different measure based on a spectral representation is proposed for two-class problems. It incorporates terms representing positive and negative correlation of pairs of training patterns with respect to class labels. Experiments employing MLP base classifiers, in which parameters are fixed but systematically varied, demonstrate the sensitivity of the proposed measure to base classifier complexity.