ID 原文 译文
25935 本文给出了氮化镓高电子迁移率晶体管的近场分布成像图，拟合出光学探测磁共振(Optically Detected Magnetic Ｒesonance，ODMＲ)谱图以及 Ｒabi 谱图，并对成像结果进行了分析。 In this paper, the near-field distribution image of GaN high electron mobility transistor is given. The ODMＲ spectrum and Ｒabi spectrum are fitted, and the imaging results are analyzed．
25936 这一系统具有高效、高分辨、高灵敏度、对近场干扰小等优势，有望为高集成度微波电路故障诊断、天线辐射剖面、微波集成电路电磁兼容测试等应用提供一种全新的方案。 This system has the advantages of high efficiency, high resolution, high sensitivity and low near-field interference. It is expected to provide a new scheme for the application of high integration microwave circuit fault diagnosis, antenna radiation profile, microwave integrated circuit electromagnetic compatibility test. etc．
25937 提出一种以“关键人物”为核心，使用门控融合单元(GFU，Gated Fusion Unit)进行特征融合的组群行为识别框架，旨在解决两个问题:①组群行为信息冗余，重点关注关键人物行为特征，忽略无关人员对组群行为的影响; This paper proposes a group behavior recognition framework with "key persons" as the core and Gated Fusing Unit (GFU)for feature fusion. Its aim is to solve the following two problems :1) Group behavior information is redundant, focusing on key person behavior characteristics, ignoring the influence of unrelated personels on group behavior．
25938 ②组群内部交互行为复杂，使用 GFU 有效融合以关键人物为核心的交互特征，再通过 LSTM 时序建模成为表征能力更强的组群特征。 2)The internal interaction relationship is complex within group, GFU is used to effectively model interaction feature centered around the key characters and it is temporally evolved into the group characteristics via LSTM processing．
25939 最终，通过 softmax 分类器进行组群行为类别分类。 Finally, the group behavior category is classified with Softmax.
25940 该算法在排球数据集上取得了 86. 7% 的平均识别率。 The algorithm achieves an average recognition rate of 86. 7% on the volleyball dataset．
25941 在物联网复杂的应用环境中，射频识别技术中的标签碰撞问题作为造成其系统标签识别时间长，通信量大等问题的主要原因，已成为近年来本领域的核心研究热点之一。 In the complex application environment of the internet of things, tag collision in RFID (radio frequency identi-fication) technology has become one of the core research hotspots in recent years, which is the main reason for the high delay oftag identification and communication cost．
25942 针对以上问题，本文提出一种多阅读器协作的树形防碰撞算法:在第一阶段，根据位追踪技术能够识别标签碰撞位的特点，阅读器通过判别待识别标签中的碰撞位，从待广播节点中删除已验证的无效节点;在第二阶段的循环广播中，阅读器间通过共享每次的广播的前缀与当次广播结果对自身的树形结构进行不断优化，优化策略是为每一个阅读器分配一个待广播节点队列，通过共享的信息计算待广播节点中含有标签的概率，依据其概率调整队列中待广播节点的优先级，并不断地删除无需广播的节点。 To solve the problems above, a MＲCT (multi-reader cooperative tree-based algo-rithm)is proposed in this paper. In the first stage of the algorithm, readers delete part of the invalid nodes according to the advantage of manchester code which can identify the collision bits of tags; In the second stage, readers share the prefix and the current broadcast result in each round of broadcast. The tree structure of the readers is continuously optimized by the information readers shared. The optimization strategy is to allocate a queue of nodes' priority to be broadcasted for each reader. The probability of tags to be broadcasted is calculated by the shared information. The priority of nodes to be broadcasted is adjusted according to its probability, and the invalid nodes are deleted continuously.
25943 在下一轮广播中阅读器选取含有标签概率最大的节点进行广播。 In the next broadcast, readers select the node with the highest probability to broadcast.
25944 仿真实验结果表明:提出的算法的平均标签识别效率达到59. 9% ，并且在总时隙数量方面有一定优势。 Simulation results show that the average tag recognition efficiency of this algorithm is 59.9% , and MＲCT has advantage in total time slots．