ID	原文	译文
25445	实验结果表明，本文算法在识别性能上优于多种比较算法，且与传统字典法相比降低了一定的运算量。	Experimental results show that the proposed method is superior to compared algorithms in recognition performance and reduces the amount of computation compared with the traditional dictionary method．
25446	为优化三相逆变器的效率，提出了一种具有低能耗辅助电路的三相谐振极逆变器，其各相桥臂上分别设置了辅助电路。	In order to optimize the efficiency of three-phase inverter, a three-phase resonant inverter with low-loss auxiliary circuit is proposed, in which auxiliary circuit is set up on the bridge arm of each phase.
25447	在辅助电路工作时，主开关可实现零电压软切换，辅助开关可实现零电流软切换，使开关损耗明显降低。	When the auxiliary resonant circuit works in the commutation process of the inverter, the main switches can achieve zero-voltage soft-switching, and the auxiliary switches can achieve zero-current soft-switching． The switching loss is obviously reduced．
25448	此外，在辅助电路的谐振状态结束之后，谐振电感中的剩余电能将只通过 1 个二极管回馈给储能电容，降低了电能回馈时的辅助电路损耗，有利于实现辅助电路的低能耗。	In addition, after the resonance state of the auxiliary circuit ends, the remaining electric energy in the resonant inductance will be fed back to the energy-storage capacitance through only one diode, reducing the loss of the auxiliary circuit when the electric energy is fed back, which is beneficial to the realization of the low-loss of the auxiliary circuit．
25449	说明了电路的工作流程。	In this paper, the working flow of the circuit is illustrated．
25450	实验波形显示主开关和辅助开关能完成软切换。	The experimental waveforms show that both the main switch and the auxiliary switch achieve soft-switching．
25451	该研究成果对于研发高效率三相逆变器具有参考意义。	The research findings have reference for the research and development of high-efficiency three-phase inverter．
25452	容器技术以其轻便、灵活和快速部署等特点提高了应用分发部署效率。	Container technology improves the efficiency of application distribution and deployment with its features of lightness, flexibility and rapid deployment．
25453	然而，资源隔离性低和共享内核的特性却给容器和云平台引入了新的安全风险。	However, the characteristics of low resource isolation and shared kernel introduce new security risks to containers and cloud platforms．
25454	本文提出了一种基于系统调用序列和长短期记忆(Long Short-TermMemory，LSTM)神经网络的容器内进程异常行为检测方案，通过无代理监控模式采集进程全生命周期的系统调用序列数据，并利用 LSTM 捕获序列的语义特征，同时采用局部窗口内累积偏差的方式，提出了两种异常判决方法。	This paper proposes an anomaly detection scheme of processes behavior in container based on system call sequences and long short-term memory (LSTM) neural network, the scheme collects the system call sequence data of the whole life cycle of processes through the agentless monitoring mode, and uses LSTM tocapture the semantic features of sequences. At the same time, two methods of abnormal decision are proposed by means of cumulative deviation in local window．