雹云识别是一个多参数的模式识别问题。
Hail cloud recognition is a pattern recognition problem of multiparameter.
本文扼要介绍雷达观测、雹云识别、作业指挥、效果分析等部分主要技术规程。
The main procedures are briefly introduced here, such as radar detecting, hail cloud identifying, operation commanding, effect analyzing, etc.
川南地区实例应用表明，该方法用于川西南地区雹云识别结果正确率达80 %以上。
The experiment in West Sichuan shows that the recognition accuracy attains more than 80%.
1980年，科学家首次在从尘云中沉淀下来的全球范围的沉积层中识别出这种撞击，这些尘云在撞击后围绕着地球。
Scientists first identified this impact in 1980 from the worldwide layer of sediment deposited from the dust cloud that enveloped the planet after the impact.
然后，他们训练云运算计算机识别各个语言的单词和短语。
Then they train cloud computers to recognize which words and phrases match up across tongues.
云消费者需要识别的资产就是他们能够控制的资产：操作系统、网络设备以及在虚拟机级部署的应用程序。
The assets the cloud consumer needs to identify are those he can control: the operating systems, network equipment, and deployed applications at the virtual machine level.
在以这种方式使用时，尽管SSH仍然提供二元身份验证，但是SSH密钥不足以识别访问云实例的用户的身份。
However, while SSH still provides two-factor authentication, when used this way it is not sufficient to identify the individuals who are accessing the cloud instances.
云消费者和提供商需要识别硬件和软件资产，估算更换每个资产的成本。
Both the cloud consumer and provider need to identify hardware and software assets and estimate the cost to replace each asset.
云消费者不负责识别这些资产。
The cloud consumer is not responsible for identifying these assets.
首先识别资产 —硬件、软件、网络组件、个人、用户、文档和设备；这些和其他资产是云服务的直接组成部分。
Start by identifying assets — hardware, software, network components, personnel, users, documentation, facilities; those and other assets that are directly part of a cloud service type.
因此，关键是要识别满足计算机和用户预期需求所需的云基础设施的最佳数量。
Therefore, it is critical to identify the optimal amount of cloud infrastructure required to meet the anticipated needs of customers and users.
云代理实例必须能够识别出要为使用资源付费的实体。
The cloud brokering instance must permit the identification of the entity to be charged for the resource usage.
现在，看看对于每个云服务类型需要识别的资产。
Now, let's take a look at what assets need to be identified for each cloud service type.
我怎样识别最适合移入云计算环境(基于业务优先权和技术适配性)中的应用程序和服务？
How do I identify the applications and services that are best suited for moving to a cloud environment based on business priority and technical fitment?
由于正常的天气波动在很大程度上掩盖了全球变暖的影响，云反馈型式以前很难被识别。
The cloud feedback pattern had been difficult to spot previously because the effect of global warming is heavily obscured by normal weather fluctuations.
而计算机所模拟的烟灰云消散仅能大概地识别火山灰的方向，这些反而使许多事情更加糟糕。
Things were made worse by the fact that the computer models of the ash cloud's dispersion gave only a very broad sense of where the ash might be.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
再采用改进的近邻聚类法对降维后特征点云进行聚类识别。
We adopt an improved near neighbor's cluster method to cluster the optimum combinatorial feature for recognition.
云智能系统可识别宝宝，让他不与其他宝宝混淆，以免发生抱错的悲剧。
Cloud intelligent system can identify the baby, so that he does not confuse with other children, so as to avoid the tragedy of the tragedy.
这个机器人可以识别人机互动，具有自主的定位和导航，而且提供基于云技术的服务。
Thee humanoid is programmed to recognize human/machine interaction, has autonomous position, navigation and offers services based on cloud technology.
根据三个基本分类特征，对云进行识别和分类。
Clouds are identified and grouped according to three basic classifications.
根据卫星气象专家目视识别，在四个通道的图像上目视选取了北极冰雪样本2366个、云2024个，陆地1602个，水体1648个。
According to the experts' experience, 2366 snow and ice samples, 2024 cloud samples, 1602 land samples and 1648 water samples were selected randomly from arctic imageries.
介绍了基于卫星遥感资料，运用纹理学识别云类的原理、方法及软件设计。
Based on satellite images data, the paper presents a method and its principle for identifying cloud types by using texture. The program design is discussed.
结果显示，在积状云和层状云背景中的目标识别较容易，在波状云中的目标识别较难。
Simulation results show that targets can be found more easily in cumulus or stratus than in undulance cloud, because undulance cloud is more abrupt change in its intensity.
结果显示，在积状云和层状云背景中的目标识别较容易，在波状云中的目标识别较难。
Simulation results show that targets can be found more easily in cumulus or stratus than in undulance cloud, because undulance cloud is more abrupt change in its intensity.
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