| 1. | Distributed system has become one of the best methods to utilize existing idle computing resources to handle difficult tasks
分布式系统是充分利用现有计算机资源的一个很好的解决方案。 |
| 2. | The system utilizes existing computers and network equipment in the intranet to realize the real - time voice communication
该系统能够充分利用企业现有计算机和网络等硬件条件来实现实时的语音通讯。 |
| 3. | Hence adding the function of parameterization design under the foundation of computer aided drawing software can enhance drawing efficiency and quality
因此，在现有计算机辅助绘图软件的基础上增加参数化设计功能可进一步提高绘图效率和质量。 |
| 4. | At the same time , you ' ll find all the technical information that you need to do a school report or business presentation on nearly any current computer topic
在同一时间，你会发现，所有的技术资料，你需要做的一所学校报告或业务介绍几乎任何现有计算机的话题。 |
| 5. | The object studying in this article is too large . the dimension is 53mx 15 . 4nx 15 . 5m and the total mesh number is over one million which cannot be calculated by current personal computer
由于本电站厂房空间高大，尺寸为53m 15 . 4m 15 . 5m ，粗略划分网格数超过百万，现有计算机资源很难满足计算要求。 |
| 6. | The existing anti - virus software plays an important role to deal with computer viruses . but it still has not satisfied the security requirements and lacks effective methods to deal with unknown viruses especially
现有计算机反病毒软件虽然在对抗病毒方面发挥了巨大的作用，但是仍有不尽人意之处，尤其是对付未知病毒缺乏足够有效的方法。 |
| 7. | A selective assembly model based on multi - assembly dimensional chain is presented , whereas at present there only exists selective assembly model of single - assembly dimensional chain in computer aided selective assembly theory
摘要现有计算机辅助选择装配理论中只有针对单一装配尺寸链的选配模型，提出基于多装配尺寸链的选配模型，将计算机辅助选择装配转化为多目标优化问题，新模型为各装配尺寸链提供了权值和修正值。 |
| 8. | If you want to upgrade an existing computer to windows sbs 2003 r2 that is running a previous version of windows sbs or windows server while retaining data and settings , follow the directions provided in this document for upgrading to windows sbs 2003 r2
如果要将运行早期版本windows sbs或windows server的现有计算机升级到windows sbs 2003 r2 ，同时保留数据和设置，则按照本文档中为升级到windows sbs 2003 r2提供的指导操作。 |
| 9. | The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer . but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule
Kanerva的稀疏分布存储( sdm )模型解决了大维数样本的训练问题，推广了现有计算机的存储方式。但其地址矩阵的随机预置方式不能反映样本的分布，并且sdm的学习方式使之不能用于函数逼近及时间序列预测问题。 |
