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.
您能够识别并且诊断出性能的瓶颈，无论这种问题是发生在网络、数据库、应用服务器、甚至是用户应用程序之中。
You can identify and diagnose performance bottlenecks, whether such problems occur in the network, database, the application server, or even the user application.
基于IP的位置识别利用了用户的网络信息，包括子网、网络掩码和路由器的mac地址。
IP-based location awareness USES the user's network information, including subnet, net mask, and the Mac address of the router.
安全防护专家已经识别出一种新蠕虫，它可以将iPhone用户从一个合法的银行站点转跳到一个潜在的网络罪犯运营的钓鱼站点上去。
Security experts have identified a new worm which is redirecting iPhone users from a legitimate banking website to a fake website potentially run by cybercriminals.
但是大多数的互联网用户还没有升级他们的网络设备，用以识别IPv6地址。
But a vast majority of the Internet has yet to upgrade its network equipment to recognize IPv6 addresses.
识别网络查询隐含的用户意图是一项具有重要意义和挑战性的工作。
Identifying the intent hidden in user queries is a task of great importance and challenge.
内部域信息识别本地网络上的资源，如客户端计算机和用户帐户。
Internal domain information identifies resources on the local network, such as client computers and user accounts.
最新推出的设计和执行指南结合由罗克韦尔和思科识别的其它文件将帮助用户更恰当地配置网络。
The newly released Design and Implementation Guide joins other published documents identified by Rockwell Automation and Cisco that will help end users properly deploy networks.
针对用户以任意字词连续哼唱的情况下，哼唱特征提取中音符分割、音符识别难度大的问题，提出了一种基于两级神经网络的哼唱特征提取方法。
A two-layer neural network for humming feature extraction is proposed for note segmentation and note recognition, when users sing consecutively with arbitrary words.
但是这种基于识别主机完整性信息的网络用户行为管理技术，不能识别出具有避绕主机完整性检查的攻击行为。
However, the network user behavior management technology based on the identifying of host integrity could not identify the attacks that can avoid the host integrity checking.
该算法利用了神经网络具有的模式识别能力，有效的将用户反馈和搜索引擎结合起来，使得搜索结果更加符合用户的搜索要求。
This algorithm used the neural network's pattern recognition capabilities, combined user feedback and search engine effectively, making search results more in line with the user's search request.
该算法利用了神经网络具有的模式识别能力，有效的将用户反馈和搜索引擎结合起来，使得搜索结果更加符合用户的搜索要求。
This algorithm used the neural network's pattern recognition capabilities, combined user feedback and search engine effectively, making search results more in line with the user's search request.
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