Lumped element lowpass filter(LPF)for ultra-high frequency(UHF)radio frequency(RF)front-end system is presented based on multilayer liquid crystal polymer(LCP).The lumped element LPF can achieve miniaturization and on...Lumped element lowpass filter(LPF)for ultra-high frequency(UHF)radio frequency(RF)front-end system is presented based on multilayer liquid crystal polymer(LCP).The lumped element LPF can achieve miniaturization and one transmission zero on the stopband by the 8-shaped inductor.The lumped element LPF is fabricated on a 4-layer LCP substrate with a compact size of 9 mm×14 mm×0.193 mm.The measured cut off frequency of the lumped element LPF is 0.5 GHz with insertion loss(IL)less than 0.37 dB.Both measured and simulated results suggest that it is a possible candidate for the application of UHF RF front-end system.展开更多
在传统的基于欧几里德距离函数的轨迹相似性计算过程中,要求轨迹等长且时间点对应,无法度量不等长且有局部时间偏移的轨迹相似性。因此在构造同步轨迹集合过程中产生信息损失较大,影响轨迹数据的可用性。为此,通过引进一种可以度量不等...在传统的基于欧几里德距离函数的轨迹相似性计算过程中,要求轨迹等长且时间点对应,无法度量不等长且有局部时间偏移的轨迹相似性。因此在构造同步轨迹集合过程中产生信息损失较大,影响轨迹数据的可用性。为此,通过引进一种可以度量不等长且有局部时间偏移的轨迹间相似性的DTW(dynamic time warping)距离度量函数,提出一种新的轨迹匿名模型——(k,δ,p)-匿名模型,构造了DTW-TA(dynamic time warping trajectory anonymity)算法。在合成数据集和真实数据集下的实验结果表明,该算法在满足轨迹k-匿名隐私保护的基础上,减少了信息损失,提高了轨迹数据的可用性。展开更多
基金Supported by the Shaanxi Provincial Innovation Team Project(2020TD-019)the Xi'an Sciences Plan Project(21XJZZ0075)。
文摘Lumped element lowpass filter(LPF)for ultra-high frequency(UHF)radio frequency(RF)front-end system is presented based on multilayer liquid crystal polymer(LCP).The lumped element LPF can achieve miniaturization and one transmission zero on the stopband by the 8-shaped inductor.The lumped element LPF is fabricated on a 4-layer LCP substrate with a compact size of 9 mm×14 mm×0.193 mm.The measured cut off frequency of the lumped element LPF is 0.5 GHz with insertion loss(IL)less than 0.37 dB.Both measured and simulated results suggest that it is a possible candidate for the application of UHF RF front-end system.
文摘在传统的基于欧几里德距离函数的轨迹相似性计算过程中,要求轨迹等长且时间点对应,无法度量不等长且有局部时间偏移的轨迹相似性。因此在构造同步轨迹集合过程中产生信息损失较大,影响轨迹数据的可用性。为此,通过引进一种可以度量不等长且有局部时间偏移的轨迹间相似性的DTW(dynamic time warping)距离度量函数,提出一种新的轨迹匿名模型——(k,δ,p)-匿名模型,构造了DTW-TA(dynamic time warping trajectory anonymity)算法。在合成数据集和真实数据集下的实验结果表明,该算法在满足轨迹k-匿名隐私保护的基础上,减少了信息损失,提高了轨迹数据的可用性。
