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Not considering the restriction of the depot s transporting ability in the existing achievement of emergency dispatch, consequently, this chapter establishes a sole-resource optimized dispatch model aimed at "the shortest dispatch time" which includes the constraint of transporting ability under time restriction firstly. Moreover, the chapter deduces the algorithm of the model by mathematical induction step by step. Secondl y, it simplifies the former model and gives a simpler sole-objective model and corresponding algorithm including the constraint of transporting ability. At last, on the basis of the improved model, this chapter discusses a two-phase programming model and a multi-objective programming model which are aimed at "the shortest dispatch time" and "the fewest number of mobilized depots" including the constraint of transporting ability under time restriction.

由于现有应急调运的研究成果中没有考虑到各物资供应点受运输能力的约束,因此本章首先建立限制期内以"应急调运时间最短"为目标且含有运输能力约束的单物资调运优化模型:并利用逐步递推法推导出具体的求解算法;然后,进一步地将此模型及算法进行简化,建立更加简单的含有运输能力约束的单目标优化模型:并且讨论其算法;最后,在改进的优化模型的基础上,讨论限制期内含有运输能力约束且以"调运时间最短"、"出动的供应点数目最少"为目标的双层规划及多目标规划的优化模型及解法。

After obtaining an image, the process of filtering, image segmentation, edge searching, interior filling etc., are done, and the target statistic features are extracted.

该方法通过对图片、视频或实时采集的图像进行预处理、目标分割、边界搜索、内部填充等处理后,提取目标的统计学特征,根据目标的特征值和数据库中的已有样本对未知目标进行识别。

The analysis indicates that the mean intensity distribution on the receiver plane is closely related to the ratio of the lateral correlation length to the surface root mean square height.

研究了粗糙目标对相干光场的散射,导出了在接收平面上光场的自相关函数、光强度的分布和光强度的二阶矩,在分析粗糙目标对激光脉冲后向散射的基础上,提出了后向散射光强度与目标均方根高度和相关长度的关系,阐明了粗糙目标的后向散射机理。

After studying the theory of combined signal processing with acoustic pressure and particle velocity, a method of direction estimation underwater, which is based on intensity measurement using an acoustic vector sensor, is presented. In the low frequency field with kinds of line-spectra, azimuth angle estimation is achieved based on the probability density statistics and bar graph approach. It can preferably resolve the problem of left/right bearing resolution and estimate the direction of space.

为了对水下目标进行定位,基于声压与振速联合信号处理的理论,研究了复声强法对水下目标信号的定向技术,并使用概率统计和直方图的理论对目标的方位角和俯仰角值进行了估计,在线谱分量存在的低频段对估计角度进行了概率统计,较好地解决了左右舷的分辨问题,实现目标的全空间无模糊定向。

According to the model,a generalized likelihood ratio test rule was developed for the target identification,and then the analytical expression to calculate the target identification performance was theoretically given.

为了实现发射周期内目标的实时识别,首先建立了E脉冲激励下目标回波的二元假设检验模型,在此基础上导出了识别目标的广义似然比检测量,并从理论上给出了计算目标识别概率的解析表达式。

In the process of location compute of object,local coordinate system of object is established,and according geocentric coordinate system is established in terms of earth's ellipsoidal model.

目标位置解算过程中,建立目标局部坐标系,根据地球的椭球模型,建立相应的地心坐标系。根据求得的目标局部坐标系与地心坐标系的转换关系,解算空中或地面目标相对于地心坐标系的大地坐标参数。

Based on the logic dependent relation and first-order logic, AND/OR graphs of single target with unit agent, and single target with multi-agent, joint targets with multi-agent were gotten respectively. As an example, single target with multi-agent was used to illustrate AO(superscript *) searching algorithm of logic dependent relations.

在分析逻辑依赖关系与一阶谓词表示法基础上,分别给出了单agent单目标、多agent单目标、多agent联合目标的逻辑依赖关系的与/或图表达方法,并应用与/或图的AO搜索算法,以多agent单目标情形为例,演示多agent系统中逻辑依赖关系的计算过程。

The influence of the relative position and the parameters of the telescope to the luminant characters of space target imaging in space-based telescope were analyzed.

文章分析了天基光电望远镜对空间目标成像时三者的位置关系及其变化对目标光度特征的影响,以及望远镜系统参数对空间目标成像光度特征的影响;给出了太阳直射奈件下的空间目标成像条件。

The characteristic in targets microdoppler that derives from the micromotion of the target is generally unique.Consequently,it can be utilized to automatic target recognition and classification.

目标微动产生的微多普勒特征,通常被认为是目标独有的特征,可用于确定目标的性质,实现对目标的检测、识别与分类。

When target values are bigger than distractors values, the two experiments have found that a function of slopes to C values is monotone decreasing function, that slopes are identical under same C values, and that there is no significant difference between circles stimulus and triangles stimulus under same C values.

实验发现在目标大于干扰子条件下,目标搜索斜率对C值的函数是单调递减函数;C相等时的目标搜索斜率也相等;C相等时的圆和三角形两种刺激形状之间的目标搜索斜率无显著差异。

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