Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of severa...Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of several strong earthquakes in China and New Zealand. Akaikes AIC criterion is used to discriminate whether an accelerating mode of earthquake activity precedes those events or not. Finally, regional accelerating seismic activity and possible prediction approach for future strong earthquakes are discussed.展开更多
Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of severa...Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of several strong earthquakes in China and New Zealand. Akaikes AIC criterion is used to discriminate whether an accelerating mode of earthquake activity precedes those events or not. Finally, regional accelerating seismic activity and possible prediction approach for future strong earthquakes are discussed.展开更多
近年来,国际上对于强震前的加速矩释放(AMR)现象是否可作为一种可靠的、带有普遍性的地震前兆现象争议较大.本文以2008年3月21日新疆于田 M_s 7.3地震为例,试图从前兆存在的客观性和与地震发生的物理相关性两方面考察本次地震前的 AMR ...近年来,国际上对于强震前的加速矩释放(AMR)现象是否可作为一种可靠的、带有普遍性的地震前兆现象争议较大.本文以2008年3月21日新疆于田 M_s 7.3地震为例,试图从前兆存在的客观性和与地震发生的物理相关性两方面考察本次地震前的 AMR 现象.用"破裂时间分析"方程中的幂指数 m 作为描述震前加速矩释放"程度"的参量,在时间-空间-地震序列截止震级组成的三维参数空间(T,R,M_c)内考察 AMR 现象存存的客观性.考虑了多种因素对 m(T,R,M_c)分布图像可能的影响,其中,余震是否删除和 M_c 对计算影响不大,但 M_L 6.0以上"干扰"事件的影响则较大.结果表明,于田地震前的确存在 AMR 现象,但得到的 m(T,R,M_c)分布图像较为复杂,可观测到两个明显的 AMR 集中分布区.此外,在以实际震中为圆心的多个圆形区域内,使用固定时间窗向实际发震时刻滑动逼近,可观测到 m 值逐渐减小,即加速特征逐渐明显的过程.对震前矩释放程度 m 值的时-空扫描结果显示,出现 AMR 现象的空间区域与震中位置似有较好的对应,但其时-空演化图像与滑动时-空窗的选取有关.这表明,本次 M_s 7.3地震前的确存在 AMR 现象,并与其孕震过程在物理上相关.但本文仅是一个震例的研究,无法给出具有统计显著性的结论。此外,用 AMR 来约束地震发生的时间看来是困难的.展开更多
由于计算能力和内存的限制,很难将传统的深度学习模型应用于物联网边缘设备,以实现自动调制识别。为有效结合卷积神经网络和视觉Transformer网络的优势,引入了一种应用于物联网边缘设备的卷积和Transformer组合网络模型ICTNet(Internet ...由于计算能力和内存的限制,很难将传统的深度学习模型应用于物联网边缘设备,以实现自动调制识别。为有效结合卷积神经网络和视觉Transformer网络的优势,引入了一种应用于物联网边缘设备的卷积和Transformer组合网络模型ICTNet(Internet of Things CNN Transformer network)。ICTNet不仅拥有Transformer的优势来捕捉特征长程依赖关系,还可以利用CNN的优势提取特征局部信息,在缩减模型大小的同时增加调制识别精度。ICTNet模型在RadioML2016.10a、RadioML2016.10b和RadioML2016.04c数据集中的平均识别准确率分别为61.51%、64.18%和71.96%。此外,ICTNet在典型边缘设备上处理每个信号样本的时间接近0.01 ms,且比现有的DL-AMR模型小很多,只有29455个参数。展开更多
Traffic modeling is a crucial element in WCDMA system levelsimulations. A clear understanding of the nature of traffic in theWCDMA system and subsequent selection of an appropriate randomtraffic model are critical to ...Traffic modeling is a crucial element in WCDMA system levelsimulations. A clear understanding of the nature of traffic in theWCDMA system and subsequent selection of an appropriate randomtraffic model are critical to the success of the modeling enterprise.The resultant performance will evidently be of a function that ourdesign has been well adapted to the traffic, channel and usermobility models, and these models are also accurate. In this article,our attention will be focused on modeling voice and WWW data trafficwith the SBBP model and Victor model respectively.展开更多
基金National Natural Science Foundation of China (4007401340134010)Chinese Joint Seismological Science Foundation (042002) and the project during the Tenth Five-year Plan.
文摘Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of several strong earthquakes in China and New Zealand. Akaikes AIC criterion is used to discriminate whether an accelerating mode of earthquake activity precedes those events or not. Finally, regional accelerating seismic activity and possible prediction approach for future strong earthquakes are discussed.
基金National Natural Science Foundation of China (40074013, 40134010), Chinese Joint Seismological Science Foundation (042002) and the project during the Tenth Five-year Plan.
文摘Based on the stochastic AMR model, this paper constructs man-made earthquake catalogues to investigate the property of parameter estimation of the model. Then the stochastic AMR model is applied to the study of several strong earthquakes in China and New Zealand. Akaikes AIC criterion is used to discriminate whether an accelerating mode of earthquake activity precedes those events or not. Finally, regional accelerating seismic activity and possible prediction approach for future strong earthquakes are discussed.
文摘近年来,国际上对于强震前的加速矩释放(AMR)现象是否可作为一种可靠的、带有普遍性的地震前兆现象争议较大.本文以2008年3月21日新疆于田 M_s 7.3地震为例,试图从前兆存在的客观性和与地震发生的物理相关性两方面考察本次地震前的 AMR 现象.用"破裂时间分析"方程中的幂指数 m 作为描述震前加速矩释放"程度"的参量,在时间-空间-地震序列截止震级组成的三维参数空间(T,R,M_c)内考察 AMR 现象存存的客观性.考虑了多种因素对 m(T,R,M_c)分布图像可能的影响,其中,余震是否删除和 M_c 对计算影响不大,但 M_L 6.0以上"干扰"事件的影响则较大.结果表明,于田地震前的确存在 AMR 现象,但得到的 m(T,R,M_c)分布图像较为复杂,可观测到两个明显的 AMR 集中分布区.此外,在以实际震中为圆心的多个圆形区域内,使用固定时间窗向实际发震时刻滑动逼近,可观测到 m 值逐渐减小,即加速特征逐渐明显的过程.对震前矩释放程度 m 值的时-空扫描结果显示,出现 AMR 现象的空间区域与震中位置似有较好的对应,但其时-空演化图像与滑动时-空窗的选取有关.这表明,本次 M_s 7.3地震前的确存在 AMR 现象,并与其孕震过程在物理上相关.但本文仅是一个震例的研究,无法给出具有统计显著性的结论。此外,用 AMR 来约束地震发生的时间看来是困难的.
文摘由于计算能力和内存的限制,很难将传统的深度学习模型应用于物联网边缘设备,以实现自动调制识别。为有效结合卷积神经网络和视觉Transformer网络的优势,引入了一种应用于物联网边缘设备的卷积和Transformer组合网络模型ICTNet(Internet of Things CNN Transformer network)。ICTNet不仅拥有Transformer的优势来捕捉特征长程依赖关系,还可以利用CNN的优势提取特征局部信息,在缩减模型大小的同时增加调制识别精度。ICTNet模型在RadioML2016.10a、RadioML2016.10b和RadioML2016.04c数据集中的平均识别准确率分别为61.51%、64.18%和71.96%。此外,ICTNet在典型边缘设备上处理每个信号样本的时间接近0.01 ms,且比现有的DL-AMR模型小很多,只有29455个参数。
文摘为减少电力线信道时变性对自动抄表系统(automaticmeter-reading system,AMRS)计量数据传输效率的不利影响,提出了中继路由与分组队列相结合的方法。中继路由将整条通信链路分割成若干子链路,可以有效提高传输效率,但传输效率仍受制于信噪比(signal to noise ratio,SNR)最低的子链路。为充分利用每条子链路的最大传输效率,在中继路由的基础上,引入了分组队列机制。该方法根据接收和发送子链路的信道状况,动态调整分组队列长度,实现了发送子链路和接收子链路独立传输。由基于SNR的3状态Markov信道模型得到分组的平均发送次数,以该次数表示中继路由的分组接收速率和分组发送速率,建立了基于OPNET的M/M/1/K的AMRS分组排队模型。通过分析不同排队强度时的分组队列长度与队列延时等参数,验证了该方法能够提高传输效率。
文摘Traffic modeling is a crucial element in WCDMA system levelsimulations. A clear understanding of the nature of traffic in theWCDMA system and subsequent selection of an appropriate randomtraffic model are critical to the success of the modeling enterprise.The resultant performance will evidently be of a function that ourdesign has been well adapted to the traffic, channel and usermobility models, and these models are also accurate. In this article,our attention will be focused on modeling voice and WWW data trafficwith the SBBP model and Victor model respectively.
