ID 原文 译文
25795 仿真结果表明，本文所提算法利用单个基站可以达到较高定位精度。 The simulation results show that the proposed algorithm can achieve high localization accuracy with a single base station．
25796 传统的推荐算法受限于单领域中用户和项目的稀疏关系，也存在用户冷启动等问题．跨领域推荐能够通过学习辅助领域的知识去丰富目标领域的稀疏数据以提高推荐准确率。 Cross-domain recommendation can study the knowledge of the auxiliary domains to enrich the knowledgein the target domain, so as to improve the recommendation precision in the target domain．
25797 本文提出了一种知识聚合和迁移相结合的跨领域推荐算法 ATCF。 This paper proposes an aggregation and transfer collaborative filtering algorithm for cross-domain recommendation ( ATCF) ．
25798 与已有算法不同，在对共性知识和个性知识的表示学习中，ATCF 均充分融合了辅助域和目标域的知识，通过基于矩阵分解的两级矩阵拼接和两次矩阵填充，得到在群集矩阵及评分矩阵上的共性知识表示; In order to represent the sharing knowledge in different domains, the knowledge in the auxiliary domain and the target domain are fully aggregated, through two levels of matrix concatenation. Moreover, the personalized knowledge of the target domain is represented by knowledge transferring from auxiliary domain.
25799 通过知识迁移，构建了重叠用户和非重叠用户的个性知识表示，有效避免了负迁移。 By fusion the sharing and the personalized knowledge, we can obtain the final rating.
25800 在两个跨领域数据集上开展的实验表明，ATCF 算法与已有单领域和跨领域推荐算法相比 ＲMSE 降低了 3% ～ 7% ，准确率召回率增加了 8% ～ 15% 。 Two different cross-domain datasets are used for the experiments. Our efforts show that the ATCF algorithm has better recommendation performance．
25801 为了高效回收环境中的声能，基于阵列式压电换能器、直管谐振腔以及能量回收电路提出了一种声能量回收系统。 In order to harvest the acoustic energy in the environment efficiently, an acoustic energy harvesting system is proposed with piezoelectric transducer array, straight tube resonator and energy harvesting circuit．
25802 当声波进入直管谐振腔，管中产生谐振驻波作用于压电换能器，将声能转换为电能。 When the acoustic wave transmits into the straight tube resonator, the resonance standing wave is generated in the tube, and excites the piezo-electric transducers; then the acoustic energy is converted into electrical energy．
25803 本文设计了能量回收电路并且进行理论、仿真分析实验研究了压电振子数量、声波频率、声压级对输出电压的影响，分析了负载电阻对输出电压及功率的影响。 An energy harvesting circuit is designed and analyzed theoretically with simulation. The relationship between the number of piezoelectric chips, the frequency of acoustic waves，the acoustic pressure level and the output voltage is studied with experiments. The output voltage and power are analyzed with the change of load resistance．
25804 实验结果表明，该装置可回收不同频率的声能量，在声波频率为 96Hz 时发电效果最优。 Experimental results show that the proposed system can harvest the acoustic energy in different frequencies, and the harvested power achieve the maximum at the sound frequency of 96Hz．