我们的目标是融合自然与人类生活，这让我们将功能垂直分布，建筑占地面积较小，因此分配更多土地来设计景观。
Our goal of merging nature with human life led us to have vertical distribution of functions with less land occupation for building and hence allocates more portion of land to design landscape.
该设计的主要目标之一是体验河流景观，并将河流动力学融合到设计中。
Experiencing the river landscape and incorporating the river dynamics was one of the main objectives in our design.
传感器输出各自测得的目标参数和状态参数到数据融合中心，特殊设计的惯量计算方法抽提出各路信号的特征参数。
Every sensor obtains its target parameters and status parameters and outputs to the computer. Special method of inertia calculation refines on every feature parameters.
而且实际应用中还有通信的可靠性、协议的设计、硬件平台的设计、目标的定位、协同信号处理、数据压缩、数据融合与决策等多个问题需要研究和解决。
And many problems have to be studied in practical applications, such as communication reliability, protocol, hardware platform, localization of target, concurrent signal, data compression etc.
在分类器设计环节，比较五种核非线性分类器，并根据宽带极化雷达目标散射数据的特点，使用融合分类的方法对目标进行分类。
In classification stage, five kernel-based classifications are used and compared, and fusion methods are designed for wide-band polarimetric radar target classification.
给出了激光告警多目标定位与跟踪的设计过程，提出了一种实用简便的融合算法，并设计了一套该模型的原理样机。
The design process for the multi-target locating and tracking with the laser warner is introduced, a practical algorithm is presented , and a prototype device is built.
由于海上侦察目标区域过大，且时间、精度和不同类型传感器的原因，使得设计的数据融合系统实用性不强。
The common problem of it is that the surveillance area is generally large, hence it is difficult to arrive at an useful data fusion architecture due to timing, accuracy and different types of sensors.
针对空中红外小目标难以识别且可信度低的问题，本文结合已有的识别算法，利用非平等D-S证据融合设计了一种小目标识别方法。
Due to the randomness and uncertainty of congestion prediction data, an algorithm based on rough set and D-S theory is proposed in this paper.
针对空中红外小目标难以识别且可信度低的问题，本文结合已有的识别算法，利用非平等D-S证据融合设计了一种小目标识别方法。
Due to the randomness and uncertainty of congestion prediction data, an algorithm based on rough set and D-S theory is proposed in this paper.
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