目标

Traditional objective setting means that objectives are set at the top and then broken down into subgoals for each level in an organization.

传统的目标设定的方法是指目标同组织的最高管理者设定，然后分解成子目标落实到组织的各个层次上。

Through statical analysis of the data dependency between subgoals, combined with the analysis results of the characteristic of parallel execution and the impacts of side-effects, the intelligent backtracking points with conditions can be found in precompiling time. At run time, the intelligent backtracking points for failed goals can be determined by variable testing and run state testing. Using intelligent backtracking scheme, a lot of redundant backtracking can be avoided and the execution efficiency of programs is improved.

同时，我们在深入研究顺序智能回溯及并行平凡回溯机制的基础上，独立提出了一种并行智能回溯机制，通过静态时对子目标数据相关性的分析，结合对并行执行特性及付作用目标对智能回溯的影响等因素的分析，产生带条件的智能回溯点；动态时通过对变量及当前运行状态的简单测试，确定失败目标的智能回溯点。

The local path planning method is used to solve the delay during communication with remote-controlled mobile robots. The best subgoal is selected from eight virtual subgoals in a certain range in front of a robot according to the angle between the direction of the mobile robot navigation and the direction from the robot to the goal and the distribution of obstacles in a certain region of the measure range of eight ultrasonic sensors.

在机器人前部一定范围内虚拟出8个亚目标，采集前部8个超声波传感器数据，根据工作场所障碍物分布情况，分析指定范围内有无障碍物，结合机器人航向偏离目标的角度，选择最佳亚目标。

Based on a user's goals, a group of evaluators steps through tasks, evaluating at each step how difficult it is for the user to identify and operate the interface element most relevant to their current subgoal and how clearly the system provides feedback to that action.

立足于用户的目标（ or 从用户目标出发？），一组测试者逐步完成任务，并且在每一个步骤中，评估与当前目标相关的界面元素是否容易确认，操作起来是否容易，系统是否对用户操作给出了清晰的反馈。

Baesd on the theory that moving target detectability can be enhanced by joint space-time processing with the application of frequency features and targets' characteristics, we focus our attention on particularies of sonars' target detection using underwater acoustic techniques and vehicle detection using computer vision tec

本文注重在理论指导下的特殊性研究，即在联合利用时间信息、空间信息、频率信息以及目标特征能够提高运动目标检测能力的思想指导下，分别研究了声纳的运动目标检测和基于计算机视觉的交通车辆检测。

Through taking the passenger carriage, shunting locomotive and parking lines for rolling stock as the research objects and applying the scheduling theory, a flexible flow shop carriage model of placing-in and taking-out for garage is established with minimizing of the total delay as the first objective and balanced using of shunting locomotives as the Second objective.

以车底、调机运用、车底停留线为研究对象，利用排序理论，以总晚点数最小为第一目标和调机均衡运用为第二目标建立具有柔性流水作业性质的车底取送模型，以客技站股道均衡运用为目标函数构造车底停留线运用模型。

The first step is to eliminate all kinds of noises generated in the process of collecting traffic video by means of median filter; Then we finish image sharpening with Laplace operator to clarify edges of the video images; finally, image contrast is enhanced with the help of the second-developing packet SDK-2000, which is provided by our video-collecting card. This way, much more satisfactory images are obtained, and preparation is already made for the following work, thats image analyse.Thirdly, according to the characteristics of our system, mobile objects are distinguished by means of image difference. Then some features such as regional area, length and width of traffic objects are selected and extracted. After processing of scale filter, we successfully recognize those moving vehicles appearing in the monitoring regions.Fourthly, some corresponding algorithms are brought forward to automatically identify those familiar traffic peccancies of many sorts, such as red light violation, yellow-line covering, parking in prohibited spots, over-speed running and converse running. Then we find means to snap pictures and to intercept videos of the spot, and collect a lot of relevant information such as the time, the block, the running direction and the weather conditions and so on. According to this information, our traffic management departments could make correct decisions on punishing those drivers who have broken the traffic rules.Considering the complexity of traffic environments on particular blocks, in order to monitor other traffic peccancies effectively, we also have designed the scheme to carry out traffic monitoring by manual.

首先运用中值滤波法对视频图像进行去噪处理，然后采用二阶差分法进行图像锐化，再通过视频捕获卡携带的二次软件开发包SDK-2000进行对比度增强，从而得到比较理想的图像，为后续的图像分析工作做准备；第三，根据系统特点，通过背景图像差分法，分割出监测区中的运动目标，然后对交通目标的区域面积、长度和宽度等进行特征提取，再经过尺度滤波处理，从而自动识别出机动车辆目标：第四，分别设计相应的算法，实现对闯红灯、压黄线、违章停车、违章超速及违章逆行等常见的交通车辆违章行为的自动识别，并自动抓拍违章现场，截取违章视频，采集其它相关违章信息，为交通执法部门进行交通违章处罚提供有力依据：考虑到特殊路段特殊环境下的交通复杂性，为了有效监控其它类型的交通违章行为，本文还设计并实现了对交通违章的手动监控模式。

Because deciding goal orderings is also PSPACE-complete, it is necessary to extract goal orderings efficiently when using goal orderings.

由于判定目标间的顺序关系同样是PSPACE完全的，因而为利用目标间的顺序关系首先需要有效地提取目标间的顺序关系。

For the disadvantage of the color distributions that it can not accurately track scale of the object due to the fact that it omits spatial information, a probabilistic tracking algorithm based on the Spatially Constrained Color Model is proposed.

针对基于颜色分布的目标模型完全忽略了空间信息，难以准确跟踪目标尺度变化的缺点，提出了一种基于空间约束颜色模型的概率目标跟踪算法。

Customer base through the characteristics and spending habits of investigation and analysis, can be seen, whether it is the main goal of meeting the target customer base or customer base, are to improve the quality of life for the principle of the largest, mature, rational thinking, to show independence, self-personality, the pursuit of natural, comfortable, introverted taste of life without publicity.

目标客户群对产品细节的需求分析，通过客户群的特点和消费习惯的调查和分析，可以看出，无论是主要目标的目标客户群或客户群，是提高教育质量生活的原则，最大的，成熟，理性思考，表现出独立，自主的个性，追求自然，舒适，品味的生活内向而不宣传。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。