ID 原文 译文
25205 此外，本文还提出了新颖的虚通道划分方法，它不仅减少了实现 PbSA 的硬件复杂度，而且缓解了无线路由器发生拥塞时对整个网络的影响。 Besides, we propose a new virtual channel partition method, which decreases hardware complex for implementing PbSA, and mitigates the adverse effect caused by wireless router congestion.
25206 实验表明，虽然本文的方案引入了较小的面积和功耗开销，但是具有良好的流量自适应特性，从而在低注入率或高注入率的情况下较好的提升了网络性能。 Evaluation shows that the scheme we proposed achieve fine data flow adaptivity with small area and energy overhead, so to improve network performance and routing efficiency under low or high injection rate．
25207 传统的勒索软件动态检测方法需要收集较长时间的软件行为，难以满足勒索软件及时检测的需求。 Traditional ransomware dynamic detection methods need to collect software behaviors for a long time, which is difficult to meet the need for timely detection of ransomware.
25208 本文从勒索软件及时检测的角度出发，提出了“勒索软件检测关键时间段(Critical Time Periods for Ｒansomware Detection，CTP)”的概念，并基于 CTP 的要求提出了一种基于应用程序编程接口(Application Programming Interface，API)短序列的勒索软件早期检测方法(Ｒansomware Early Detection Method based on short API Sequence，ＲEDMS)。 From the perspective of the timely detection of ransomware, this article proposes a concept named "Critical Time Periods for Ｒansomware Detection (CTP)"，and proposes an early ransomware detection method based on short application programming interface (API) sequence (REDMS) to fit the requirement of CTP．
25209 REDMS 以软件在CTP 内执行时所调用的 API 短序列为分析对象，通过 n-gram 模型和词频-逆文档频率算法对采集到的 API 短序列进行计算以生成特征向量，然后运用机器学习算法建立检测模型对勒索软件进行早期检测。 ＲEDMS takes the short API sequences that are obtained by software running during the CTP as the analysis object, and calculates these short API sequences through the n-gram model and the term frequency-inverse document frequency algorithm to generate the feature vectors, and then uses a machine-learning algorithm to build a detection model for detecting ransomware．
25210 实验结果显示，ＲEDMS 在 API采集时段为前 7s 且使用随机森林算法时，分别能以 98。 2% 、96。 7% 的准确率检测出已知和未知的勒索软件样本。 The experimental results show that when the first 7 seconds of API collection period and random forest algorithm are used, REDMS achieves 98.2% and 96.7% accuracy respectively for detecting the known and unknown ransomware samples．
25211 为满足实际应用对窄带信号高精度微分及微分系统低常延迟的需求，本文提出平坦低延迟有限冲激响应数字微分器的优化设计算法，在平坦性和相位误差约束下对最大幅值逼近误差进行最小化。 To satisfy the requirement on high-precision differentiation of narrow-band signals and low delay of the differentiator, this paper presents a design method for low-delay finite impulse response flat digital differentiators. The method minimizes the maximum magnitude error subject to flatness and phase-error constraints on the differentiator．
25212 利用线性方程通解表达式来消除平坦约束，确保了微分器的平坦度要求。 By eliminating the flatness constraint with the general solution of linear equations, we ensure that the differentiator has desired flatness degrees．
25213 利用群延迟误差对相位误差重加权，降低了微分器的通带群延迟误差。 By reweighting the phase error with group-delay error, the method reduces the passband group-delay error of the differentiator．
25214 设计例子及与文献方法的比较，展现了本文方法的有效性和优越性。 Design examples and comparisons with literature methods show the effectiveness and superiority of the proposed method．