ID 原文 译文
16725 通过采用合适的传感器外壳结构和采样频率，增加传感器的灵敏度和BCG的时间分辨率； By adopting a suitable structure for the sensor‘s shell and a suitable samplingfrequency, the sensitivity of the sensor and the time resolution of the BCG signal are increased.
16726 通过对比不同的BCG处理方法并找到BCG中最适合提取精准逐拍心动周期的成分； Through the analysis of BCG, the most suitable components in BCG is found to extract beat by beat cardiac cycle.
16727 同时该文提出一种采用AP聚类的自适应模板匹配算法，以准确提取心动周期信息。 At thesame time, this paper proposes an adaptive template matching algorithm using AP clustering to extractaccurately cardiac cycle information.
16728 对15名受试者共5741次心跳数据进行分析，结果显示逐拍心动周期的平均误差为0.48%，平均绝对误差为3.78 ms，心跳覆盖率在97%以上，优于其他同类工作。 Analysis of the data of 5741 heartbeats of 15 subjects shows that theaverage error of the beat-to-beat heartbeat cycle is 0.48%, the Mean Absolute Error (MAE) is 3.78 ms, and theheartbeat coverage is above 95%, which is better than other similar work.
16729 蜂窝车联网(C-V2X)与车载自组织网络(VANET)的异构融合能够有效提高网络容量。 The heterogeneous integration of Cellular-Vehicle to everything (C-V2X) and Vehicle Ad-hocNETwork (VANET) can effectively increase network capacity.
16730 然而，不同网络在非授权频段上共存而引起的信道冲突会导致系统吞吐量降低和用户接入时延增大，无法满足车联网用户对服务质量(QoS)的需求。 However, the channel conflicts caused by thecoexistence of different networks on the unlicensed frequency bands will cause the system throughput todecrease and the user access delay to increase, which can not satisfy the Quality of Service (QoS) requirements.
16731 针对该问题，该文提出一种基于用户个性化QoS需求的时频资源分配方法。 Considering this problem, a time-frequency resource allocation method based on personalized QoS is proposed.
16732 首先，分别对C-V2X 和 VANET 的吞吐量和时延进行建模分析，刻画用户数据传输时间配置与吞吐量和时延的数学关系； Firstly, the throughput and delay models of C-V2X and VANET are established respectively to determine themathematical relationship between user data transmission time configuration and throughput and delay.
16733 然后，基于上述模型构建吞吐量-时延联合优化函数，根据用户的个性化QoS需求实现异构网络中吞吐量和时延的优化； Then,based on the above mathematical models, a Delay-Throughput Joint Optimization Algorithm (DT-JOA) isestablished to optimize throughput and delay in a heterogeneous network according to the personalized QoSrequirements of users.
16734 最后，提出一种基于改进多目标粒子群优化的时延-吞吐量联合优化算法(DT-JOA)进行求解。 Finally, a joint optimization algorithm for delay and throughput based on ParticleSwarm Optimization (PSO) is proposed.