ID |
原文 |
译文 |
47266 |
其中,功率控制子问题可借助 Dinkelbach 法和拉格朗日对偶得到最优解; |
Specifically, the power control subproblem can be optimallysolved with the help of Dinkelbach method and Lagrange duality. |
47267 |
信道分配子问题等价于集装箱问题,属于 NP 难问题,因此,提出一种启发式算法,实现算法性能与复杂度之间的折中。 |
Based on the above results, the channel assignmentsubproblem turns out to be the set packing problem which was generally NP-hard problem, Therefore, a heuristicalgorithm was further devised to achieve a tradeoff between performance and complexity. |
47268 |
仿真结果表明所提联合资源分配方案优于单一资源优化方案,此外,其具有多项式复杂度且其性能接近理论最优解。 |
Simulations show that theproposed joint resource allocation scheme outperforms the ones where only single resource variable is optimized, and itachieves the polynomial-time complexity at only minor performance loss when compared to the global optimum. |
47269 |
工业控制系统是国家关键基础设施的重要组成部分,一旦遭受网络攻击,会造成财产损失、人员伤亡等严重后果。 |
Industrial control system was an important part of national critical infrastructure, once it was suffered from thecyber attack, it would cause property damage, casualties and other serious disasters. |
47270 |
为向工控安全领域的研究人员提供理论支持,对工控系统攻击的特点和检测难点进行了分析, |
For providing theoretical supports toindustrial security researchers, the features of attacks in an industrial control system and the difficulties of detection tothese attacks were introduced. |
47271 |
报告了工业系统中入侵检测技术的研究现状, |
Then, a survey of intrusion detection technologies used by the industrial control systemswas given. |
47272 |
并对不同检测技术的性能和特点进行了比较, |
Also, the performance and characteristic were compared for the different types of detection technologies. |
47273 |
最后生成了一份工业入侵检测研究综述。 |
Finally, an industrial intrusion detection research was generated. |
47274 |
针对内容中心网络(CCN, content centric networking)中沿路径缓存策略存在的问题,设计了一种最大介数节点和边缘节点协同的缓存策略。 |
To overcome the problems of the on-path caching schemes in the content centric networking, a coordinatedcaching scheme based on the node with the max betweenness value and edge node was designed. |
47275 |
根据网络拓扑特性,在最大介数节点感知流行内容,边缘节点协同跟踪; |
According to thetopology characteristics, the popular content was identified at the node with the max betweenness value and tracked at theedge node. |