IBM operates a cloud data center for its customers.
IBM为其客户运作一个云数据中心。
Read the LIDAR point cloud data, and can be displayed.
读取LIDAR的点云数据，并且可以显示出来。
The location of your VPN endpoint relative to IBM Cloud data centers.
您的vpn端点相对于IBMCloud数据中心的位置。
The discrete point cloud data sampling from the striation figure is common.
采样于线状图形的离散点云数据也是常见的。
A quadrilateral mesh generation algorithm based on cloud data was introduced.
介绍了海量空间数据点四边形网格划分算法。
Second, there is the latency between your own VPN endpoint and an IBM Cloud data center.
第二，您自己的vpn端点和IBMCloud数据中心之间的延迟。
You can choose to combine the local data and the cloud data, or replace one with the other.
你可以选择合并本地和云端数据，或者直接替换其中一端。
As with Dropbox, the goal is to create a common cloud data store that many programs can access.
和Dropbox公司的目标一样，这个软件要建立一个普遍的云数据存储地，与很多程序相容。
Using LS5000 3d laser scanner, we can acquire the point cloud data of the real actor's face.
利用LS 5000型三维激光扫描仪扫描真实演员人脸，可以得到其三维人脸点云数据。
The combined effects of various factors mainly reflected in the accuracy of point cloud data.
而各种因素的综合影响则主要反映在点云数据的精度上。
The hierarchical visualization methods of point cloud data of blocks organization is proposed.
提出点云数据的可视化方法，采用分块的数据组织方式分层可视化点云数据。
To connect your corporate network to a private VLAN in an IBM Cloud data center, you need the following.
要将您的公司网络连接到一个IBMCloud数据中心的一个专用VLAN，您需要以下组件。
By leveraging the power of XML, you can easily integrate cloud data into existing enterprise applications.
通过利用XML的强大功能，可以很容易地将云数据集成到一个现有的企业应用程序中。
A new region-growing algorithm is presented for triangular mesh surface reconstruction from point-cloud data.
提出一种新的由点云数据生成三角网格曲面的区域增长算法。
Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
通过建筑物三维激光扫描数据的采集，对基于ICP算法的点云数据配准过程进行了详细地分析。
You may therefore be able to leverage multiple IBM Cloud data centers as part of a strategy to minimize network latency.
因此，您可以利用多个IBMCloud数据中心，作为一个最小化网络延迟策略的一部分。
The grid index based on linear quadtree is used to index the point cloud data, extracting the point cloud on the block.
采用基于线性四叉树的格网索引对点云数据建立索引，对点云数据进行分块提取；
An algorithm of searching edge points in cloud data is presented which can ensure the correctness of edge points and avoid the edge distortion.
设计实现了三维海量空间数据中边界点的提取算法，确保边界点提取的正确性，从而避免数据划分过程中带来的数据边界失真现象。
Terry Jones of cloud data service Fluidinfo wanted users to be involved; "We as normal people are using apps and they're storing data on our behalf."
云数据服务商Fluidinfo的特里·琼斯希望用户能参与进来；“我们就像普通人一样在使用这些应用程序而它们在以我们的名义储存数据。”
You can route network traffic between that VLAN and your own corporate network by establishing a VPN tunnel between your network and an IBM Cloud data center.
可以在您的网络和一个IBMCloud数据中心之间建立一个VPN隧道，在VLAN 和您自己的公司网络之间路由网络流量。
After the objects are scanned the large number's original point cloud data of a great density will generate, and in which noise are randomly distributing.
物体经过扫描后，得到的大量原始点云数据一般密度很大，且其中随机分布着噪声数据。
You should locate your VPN endpoint in a geography that minimizes the total network latency between your own computers and the IBM Cloud data center to which you are connecting.
应该将您的VPN端点定位于您自己的计算机和正在连接的IBMCloud数据中心之间总网络延迟最小的那个地理位置。
But they're more likely to be part of the management tools used to transfer and modify cloud data, as well as remote tools used to access applications in the cloud, than the clouds themselves.
不过弱点出现在云本身的机会不高，更可能出现在传输和修改云中数据所用的管理工具上，也很可能出现在用于访问云中应用的远程工具上。
Usually, the best practice is to pick an IBM Cloud data center that is closest geographically to one of your own data centers and establish the VPN connection over the minimum physical distance.
通常，最佳实践是选择距离您自己数据中心地理位置最近的一个IBMCloud数据中心，以便在最小的物理距离上建立VPN连接。
To improve the reverse modeling efficiency of aeroengine pipelines, a region-growing segmentation algorithm for aeroengine pipeline point cloud data is proposed based on geometric attributes.
为了提高航空发动机管路测量数据的反求建模效率，提出了一种区域增长分割算法。
Information of more meteorological elements may be derived from the cloud image data when this system is put into operational application and hence value of the cloud data is greatly increased.
在气象业务部门中使用该系统，可以从卫星云图资料中提取更多的气象要素，大大地提高了云图的使用效率。
In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different view measured cloud data in a global coordinate system.
在实物反求中，往往需要将从各个不同视角测得的点云数据进行多视定位，统一到一个全局坐标系下，并经过数据融合使之能够便于后续的模型重建。
In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different view measured cloud data in a global coordinate system.
在实物反求中，往往需要将从各个不同视角测得的点云数据进行多视定位，统一到一个全局坐标系下，并经过数据融合使之能够便于后续的模型重建。
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