ID	原文	译文
16525	该文提出一种基于粒子群优化算法的LCLC谐振变换器优化设计方法，解决LCLC谐振变换器由于多个谐振参数造成的总损耗优化困难的问题。	In order to solve this problem, in this paper, a Particle-Swarm-Optimization(PSO)algorithm based, optimal design method of the LCLC resonant converter is proposed.
16526	首先，推导了LCLC谐振变换器的总损耗公式；	At first, the totalpower loss of the LCLC resonant converter is derived based on the circuit analysis;
16527	其次，采用粒子群优化算法，对LCLC谐振变换器的总损耗进行了优化，得到了总损耗最小时的谐振变换器参数；	After that, the total powerloss of the LCLC resonant converter is optimized by the Particle-Swarm-Optimization algorithm and theoptimal resonant parameters are calculated.
16528	最后，基于优化的LCLC谐振变换器参数，搭建了LCLC谐振变换器，并进行了一系列实验。	Finally, based on the optimal resonant parameters, the optimalLCLC resonant converter is built.
16529	实验结果证明了该优化设计方法的有效性。	The proposed optimal design method is validated by experiments.
16530	物联网(IoT)作为战略性新兴产业已经上升为国家发展重点，但在实际应用中也面临各种安全威胁。	As a strategic emerging industry, the Internet of Things (IoT) has become a national developmentfocus, but it also faces various security threats in practical applications.
16531	确保资源受限物联网系统数据传输、处理和存储的安全已成为研究热点。	Ensuring the security of datatransmission, processing and storage of resource-constrained IoT systems has become a research hotspot.
16532	该文通过对物理不可克隆函数(PUF)和传感器制备工艺偏差的研究，提出一种基于气敏传感器的高稳态物理不可克隆函数发生器设计方案。	In thispaper, a high steady-state Physical Unclonable Function(PUF) generator scheme is proposed by studying PUFand the deviation of the sensor preparation process.
16533	该方案首先采用静电喷雾沉积(ESD)方式生成具有高比表面积特性的纳米材料，结合高温煅烧技术制备Pd-SnO2气敏传感器；	Firstly, the Electrostatic Spray Deposition (ESD) is used togenerate nanofibers with high specific surface area characteristics and high-temperature calcination technologyis combined to prepare Pd-SnO2 gas sensors.
16534	其次采集Pd-SnO2气敏传感器在不同气体浓度、环境温度、加热电压条件下对甲醛气体的响应数据；	Secondly, the response data of gas sensors to formaldehyde gas iscollected under different gas concentration, ambient temperature and heating voltage conditions.