ID 原文 译文
58598 改进后的算法对20种恶意域名的平均检测准确率为97.62%,与原算法相比提高了0.94%;对4种较难检测域名的检测准确率分别提高了3.71%、4. 6%、11. 18%和17. 8%。 The average detection accuracy of the improved algorithm for 20 types of malicious domain names is 97. 62%, that is, 0. 94% higher than that of the original algorithm, and the detection accuracy of four hard-to-detect domain names is increased by 3. 71%, 4. 6%, 11. 18% and 17. 8%, respectively.
58599 实验结果表明,改进的算法能够提高对恶意域名的检测准确率,尤其能够显著提升对部分难检测域名的检测准确率。 Experimental results show that the improved algorithm can effectively improve the detection accuracy of malicious domain names, especially for some hard-to-detect domain names.
58600 为了保证无线传感器网络数据本身的可靠性,以及不会因为数据缺失而导致数据处理过程中的效率降低,提出了一种利用联合图模型的传感器网络数据修复算法。 In order to ensure that the sensor network data are reliable, and that the efficiency of data processing is not reduced due to the lack of network data, a method for data recovery in the sensor network based on the joint graph model is proposed.
58601 首先基于网络数据的时间域平滑特性和空间域平滑特性建立联合图域模型,然后根据联合图域模型中网络数据的关联特性设计迭代恢复算法,最终实现网络数据恢复的目的。 First, this paper establishes a joint graph domain model based on the smoothness of network data in the time-domain and spatial-domain, and then an iterative recovery method is proposed to recover the network data, which is based on the association characteristics of network data in the joint graph domain model.
58602 通过实验仿真表明,该方法与图信号模型中基于图全变分最小化算法相比,利用联合图模型的修复算法不仅数据修复精度提高约30%,迭代次数下降约80%。 Experimental simulation shows that compared with the recovery method based on graph total variation minimization in the graph signal model, the method of data recovery based on the joint graph model improves not only by about thirty percent of the data recovery accuracy, but also by about eighty percent of the iteration efficiency.
58603 针对能量受限认知中继网络覆盖范围小、生存周期短和链路信道衰减多样化的问题,研究了能量采集多跳认知中继网络在κ-μ衰落信道下的中断性能。 Aiming at the problems of small coverage, short lifetime and diversity link channel attenuation in energy-constrained cognitive relay networks, the outage performance of energy harvesting multi-hop cognitive relay networks over complicated fading channel scenarios are studied.
58604 首先采用κ-μ分布表征多种单一和混合的视距和非视距衰落信道场景; First, the κ-μ distribution is adopted to represent various single and mixed line-of-sight and non-line-of-sight fading channel scenarios.
58605 然后构建专用功率信标辅助能量采集的衬底式多跳译码转发认知中继网络模型; Then the dedicated power beacon assisted energy harvesting underlay multi-hop decode-and-forward cognitive relay networks are constructed.
58606 推导了次网络在κ-μ衰落信道下的精确和渐近统一中断概率解析式。 The exact and asymptotic unified outage probability expressions for secondary networks are derived over the κ-μ fading channels.
58607 仿真结果表明,在各种衰落信道场景情况下,功率信标信号功率和/或主网络干扰约束的增大将使次网络中断概率单调下降并趋于饱和。当主网络干扰约束较低时,网络链路信道状况的恶化将降低次网络中断概率;而当主网络干扰约束较高时,网络链路信道状况的改善将提升次网络中断性能。 Simulation results show that the secondary outage probability can be monotonically decreased with the increase of the power beacon signal’s power or/and primary networks’ interference constraint until it tends to saturation on the condition of various fading channel scenarios, and the secondary networks’ outage probability can be degraded with the deterioration of the channel link condition when the primary networks’ interference constraint is lower, and the secondary networks’ outage performance can also be increased with the improvement of the channel link condition when the primary networks’ interference constraint is higher.