Prove some inequalities involving a moving-point on the plane of triangle with it′s distance coordinates.
利用三角形的重心坐标，证明涉及三角形平面上一动点的一些不等式。
So, think of a line as the trajectory of a moving point.
把直线看作运动点的轨迹。
Line is the mark made by a moving point, such as a pencil or brush.
线是由动点构成的，如铅笔或笔刷。
Let's imagine that we have a point that's moving on the line, and at time zero, it's here at Q0.
我们可以想像由一个在直线上移动的点，在时刻0的时候，它在Q0处。
He could not look at her at all now, his gaze moving from side to side, then down to the floor, then up again to some distant point behind her.
现在他根本无法看她，他的目光游移不定，一时看向地板，一时又看向她后面远处的某个点。
Finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with SNR not lower than 1.5 can be detected effectively.
对典型复杂背景下10幅1000帧图像的仿真结果表明，当信噪比大于或等于1.5时，可以有效检测出运动点目标。
To detect a moving point target that is submerged in noisy background is a very difficult problem.
要把淹没在噪声背景中的运动点目标检测出来是一个十分困难的问题。
Detection of moving point target in infrared sequence images with complex background is the emphasis and difficulty of target detection.
在复杂背景红外序列图像中，运动点目标的检测一直是研究的重点和难点。
In this paper, we discussed an algorithm for decision trajectory during detecting slowly moving point target in low SNR.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
This paper discusses a technique for detecting slowly moving point targets in low SNR images.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
The moving point target detection technology has been a hot issue in the area of signal and image processing.
运动点目标检测技术，是信号和图像处理领域的热点研究课题。
We continuously inject a tracer into a point in a steadily moving fluid.
我们连续地将一种示踪物注入某稳定运动流体中之一点。
In view of the limitation existing in detecting moving point targets in complex background, a new detection method with detailed theory based on spatiotemporal image is presented.
针对复杂背景下运动点目标检测方法存在的局限性，提出从时间空间角度检测运动目标的方法。
A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.
提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。
The simulation results show that it can effectively detect the moving point targets in a simple and quick way.
该方法利用目标的运动特性来实现检测算法，是一种快速简单的有效方法。
Critics point out that many things other than home ownership might prevent people from moving (children's schools, friends and so on).
批评家指出除了自有住房还有许多事情可阻止人们搬家(子女的学校、朋友等等)。
Again the point is to listen hard while keeping the pen moving.
再次强调，重点是在保持笔移动的同时，要认真倾听。
And, that point is moving in time.
这点随着时间推移而移动。
The human eyes are constantly moving until they stop and focus on a point.
人的眼睛通常是不停的移动的，直到它停留在某一点上。
It is not easy to detect moving point targets in low signal-to-noise ratio (SNR) images.
在低信噪比条件下，要从图像中检测出运动的点目标存在着不少困难。
When the moving point was moving downward, the reaction time for the rotated map was significant shorter than for the static map on both kinds of backgrounds.
在运动点的运动方向为朝下时，对于两种背景，地图旋转方式的反应时均显著低于地图固定方式。
So, that point starts falling back behind the point of contact because the wheel is rotating at the same time as it's moving forward.
这个点开始落到切点的后面,因为车轮滚动的同时也向前运动。
From an emotional energy point of view, they are dead weights that keep us from moving forward.
从情感能量的角度来看，这些是阻碍我们前进的累赘。
But from an emotional energy point of view, they are dead weights that keep us from moving forward.
但从情感能量的角度来看，这些是阻碍我们前进的累赘。
So, in particular, let's look at what happens at time t equals zero when the point is not moving.
特别地，我们来看当点静止的时候,即在时间t=0的时刻，会发生什么。
Once you start moving along such a curve, you are required to come back to precisely the point at which you started.
一旦你开始沿着这样的曲线移动，你就需要精确地回到你起始的地方。
At great distances it looks like a point, but moving closer it appears flat and eventually as a three-dimensional structure.
隔得很远时它看起来像一个点，但越向它靠近它就显得平面，最终成为一个三维的结构。
Moving from an environment with sparse point applications to an integrated lifecycle environment requires investments in additional skills to work with the new environment.
从拥有稀疏特点的应用程序的环境中转移到集成的生命周期环境需要投入额外的技能来使用新的环境。
Moving from an environment with sparse point applications to an integrated lifecycle environment requires investments in additional skills to work with the new environment.
从拥有稀疏特点的应用程序的环境中转移到集成的生命周期环境需要投入额外的技能来使用新的环境。
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