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   检测点放置 的翻译结果: 查询用时:0.012秒
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检测点放置
相关语句
  detector placement
     Network latency clustering for detector placement on macroscopical prewarning
     网络延迟聚类的宏观预警的检测点放置
短句来源
     The problem of detector placement was turned to that of the clustering of topology graph.
     大规模网络预警检测点放置问题被转化为网络拓扑有权图聚类问题。
短句来源
     The paper turned the problem of detector placement to that of the clustering of topology graph.
     本文将大规模网络预警检测点放置问题转化为网络拓扑有权图聚类问题。
  “检测点放置”译为未确定词的双语例句
     The simulation results demonstrates that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.
     同时,提出改进双向层次聚类算法DHC,有效降低了结果簇数量。 实验证明,此算法整体最优并成功应用于测得的真实全国骨干网络,有效解决了检测点放置问题。
短句来源
     The simulation results demonstrate that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.
     同时,提出了改进的双向层次聚类算法DHC,有效降低了结果簇的数量。 实验证明,此算法整体最优并成功应用于测得的真实全国骨干网络,有效解决了检测点放置问题。
  相似匹配句对
     Network latency clustering for detector placement on macroscopical prewarning
     网络延迟聚类的宏观预警的检测放置
短句来源
     Research on DIM Point Target Detection
     弱小目标的检测
短句来源
     Detection for SAR image point target
     SAR图像目标的检测
短句来源
     The problem of detector placement was turned to that of the clustering of topology graph.
     大规模网络预警检测放置问题被转化为网络拓扑有权图聚类问题。
短句来源
     The paper turned the problem of detector placement to that of the clustering of topology graph.
     本文将大规模网络预警检测放置问题转化为网络拓扑有权图聚类问题。
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  detector placement
The detailed relationship between optimal detector placement and various link lengths/green times was shown.
      
A first approximation method for smoke detector placement based on design fire size, critical velocity, and detector aerosol ent
      
The presence of beams and obstructions pose a real challenge for both modeling and detector placement procedures.
      
Should any questions arise regarding detector placement, observe NFPA 72 guidelines.
      
The actual detector placement will be refined based on model output.
      


Research on the network-based and distributed intrusion detection was aroused by the burst-outs of large-scale security events.How to place detection instruments was the key to the detections.The problem of detector placement was turned to that of the clustering of topology graph.A novel bidirectional hierarchical clustering algorithm was put forward,which decreased the amount of result clusters by integration of initial marker selection method based on node out-degree.The simulation results demonstrates that...

Research on the network-based and distributed intrusion detection was aroused by the burst-outs of large-scale security events.How to place detection instruments was the key to the detections.The problem of detector placement was turned to that of the clustering of topology graph.A novel bidirectional hierarchical clustering algorithm was put forward,which decreased the amount of result clusters by integration of initial marker selection method based on node out-degree.The simulation results demonstrates that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.

大规模异常事件爆发,使网络可用性受到严重威胁。引发人们对大规模入侵检测系统的研究,其检测效果直接取决于网络检测点选取。大规模网络预警检测点放置问题被转化为网络拓扑有权图聚类问题。针对层次聚类算法面临的初始点选择问题提出基于出度分离初始点选择算法,降低聚类结果对初值的依赖。同时,提出改进双向层次聚类算法DHC,有效降低了结果簇数量。实验证明,此算法整体最优并成功应用于测得的真实全国骨干网络,有效解决了检测点放置问题。

>=Network-based and distributed intrusion detection system is aroused by the burst-outs of large-scale abnormal events. How to place detection instruments is the key to the detections. The paper turned the problem of detector placement to that of the clustering of topology graph. A novel Bidirectional Hierarchical Clustering algorithm is put forward, which decreases the amount of result clusters by integration of initial marker selection method based on node out-degree. The simulation results demonstrate that...

>=Network-based and distributed intrusion detection system is aroused by the burst-outs of large-scale abnormal events. How to place detection instruments is the key to the detections. The paper turned the problem of detector placement to that of the clustering of topology graph. A novel Bidirectional Hierarchical Clustering algorithm is put forward, which decreases the amount of result clusters by integration of initial marker selection method based on node out-degree. The simulation results demonstrate that our clustering approaches effectively identify clusters and been employed in the measured real network of the backbone.

大规模异常事件爆发,使网络可用性受到严重威胁。引发人们对基于网络和分布式大规模入侵检测系统的研究。而其检测效果直接取决于网络检测点的选取。本文将大规模网络预警检测点放置问题转化为网络拓扑有权图聚类问题。针对层次聚类算法面临的初始点选择问题提出了基于出度分离的初始点选择算法,降低聚类结果对初值的依赖。同时,提出了改进的双向层次聚类算法DHC,有效降低了结果簇的数量。实验证明,此算法整体最优并成功应用于测得的真实全国骨干网络,有效解决了检测点放置问题。

 
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