ID 原文 译文
46196 其次，在 CFSFDP 算法的密度关联与决策模型下，基于支持向量机回归（SVR, support vector regression）提出了特定支持向量机回归（SSVR, specific support vector regression），利用针对性改良下的回归差异非线性识别类中心，实现类的智能识别。 Secondly, with the density-distance decision model of CFSFDP algorithm, intelligent recognition of cluster was realized by using the difference of SSVR which was proposed based on SVR.
46197 最后，通过 2种密度下的类识别，实现更多异常模式信息的挖掘与 3 种异常轨迹识别。 Finally, based on the analysis of distribution under the two kinds of density,more abnormal information could be mined, three kinds of abnormal trajectories would be recognized.
46198 结合上海市与北京市出租车轨迹集进行了仿真实验与数据分析，验证了算法在轨迹聚类异常识别方面的有效性。 And the simulation results on trajectory data of Shanghai and Beijing verify that the algorithm is objective and efficient.
46199 与传统方法相比，类发现能力提高了10%，异常轨迹信息得以区别与丰富。 Comparing to existing method, accuracy in the clustering is promoted by 10%, and the abnormal trajectories are sorted, abnormal in-formation is enriched.
46200 受日趋严格的环境标准的影响，高能耗和高污染成为制约云数据中心发展的重要因素。 Due to the increasingly strict environmental standards, high pollution and high energy consumption have be-come the significant factors restricting the development of cloud data centers (CDC).
46201 在保证云数据中心服务质量的前提下，应用动态电压调整技术，引入同步多重工作休眠模式，提出一种新型的虚拟机调度策略。 Under the premise of guaranteeing the quality of service (QoS) of CDC, dynamic power management (DPM) technology was applied, synchronous multiple-working sleep mode was introduced, and a novel virtual machine (VM) scheduling strategy was proposed.
46202 通过构建具有自适应服务率和多重工作休假的二维连续时间马尔可夫（Markov）随机模型，运用矩阵几何解方法，从系统节能水平和用户请求平均延迟等方面评估虚拟机调度策略的性能。 By establish-ING a two-dimensional continuous-time Markov stochastic model with adaptive service rate and synchronous multiple-work vacations, and using the method of a matrix geometric solution, the performance of the VM scheduling strategy was evaluated in terms of energy saving level and average delay of requests.
46203 综合理论分析结果和仿真统计结果，验证虚拟机调度策略的有效性。 Numerical results with analysis and simulation verify the energy saving effectiveness of the VM scheduling strategy.
46204 从经济学角度出发，建立系统效用函数，改进萤火虫智能优化算法，给出工作休眠参数的优化方案，实现系统响应性能和节能效果之间的合理平衡。 In order to achieve a reasonable balance between the response performance and the energy-saving effect, a system utility function was constructed from the perspective of economics and design a researching algorithm of the sleep parameter based on the firefly algorithm (FA).
46205 在多假设分布式压缩视频感知系统中，多假设的质量对重构性能意义重大。 In multi-hypothesis based distributed compressed video sensing systems, the quality of the multi-hypothesis set has important influence on the reconstruction performance of decoder.