一种基于NOMA的Q学习卫星通信随机接入方法

基于非正交多址接入(NOMA)的Q学习(Q-Learning)随机接入方法(NORA-QL)是实现物联网中海量设备泛在接入的一项有效技术.为了解决NORA-QL方法仍存在的传输能效和过载容量较低的问题,提出了一种适合卫星通信网络的改进方法(I-NORA-QL).针对传输功耗高的问题,I-NORA-QL利用卫星广播的全局...     

全国内地非典型肺炎疫情自回归预报模型

利用时序分析方法研究从2003年4月27日开始卫生部办公厅发布的全国内地新增传染性非典型肺炎疫情报告，建立全国内地非典型肺炎疫情ARMAV预报模型，对模型进行适用性检验后，可以用所建模型对未来疫情进行外延预测。用时序分析方法进行监测、分析及预报，对非典型肺炎的疫情发展和关键影响因素等提供精度较高的预测结果。     

Leibniz判别法的推广

对交错级数收敛性判别法中的著名定理──Leibniz判别法进行了推广。     

基于非线性器件特征的辐射源识别

为提高雷达辐射源的正确识别率以满足航空电子对抗需求,提出基于非线性器件特征的辐射源识别方法.在非线性失真分析的基础上,通过谱再生现象的观测,对非线性器件的功率级数系数进行了估计,由于不同的雷达系统设计和随机组装,因此这种特征对每一辐射源是唯一的.仿真结果表明,该特征提取方法在低信噪比环境下可以获得高的辐射源识别率,证实...     

经济增长非线性时序预测方法研究

分析了经济系统非线性时诹预测的国内外研究现状、现代经济增长模型在预测中存在的不足之处，阐述了经济增长系统的非线性、动态反馈性、开放性等特征，并应用非线性时序理论，研究了经济增长的非线性时序预测问题，给出了经济增长非线性时序预测的方法。     

循环冗余码的软件实现方法及应注意的问题

】介绍了ＣＲＣ码并行算法的软件实现和串行算法的硬件实现方法，同时比较它们的差异，并指出了实践中应注意的问题     

模板类零件孔系的计算机辅助设计

本文介绍子模具设计中的模板类零件中的孔系的计算机辅助设计，对于位置参数相同而结构和尺寸不同的孔系零件，可以由一个孔位置定义文件设计所有的零件。零件用这种方法可以很方便地提高设计速度和设计质量。     

室外大气折射率结构常数实时测量研究

与传统的射频链路相比,自由空间光通信FSOC（Free Space Optical Communication）系统是对现有无线通信技术的有力补充,为了抑制大气湍流对信号光束带来的相位噪声和强度波动,有必要对通信信道状况进行实时监测。首先介绍了基于光斑质心漂移的大气折射率结构常数测量方法,利用大口径接收靶面和窄带滤光片,结合实时图像处理算法,实现了大气折射率结构常数的全天候实时监测。将大气折射率结构常数和光强闪烁指数进行了比较分析,测量结果表明它们的包络之间具有很好的线性关系,进一步验证了实时测量系统的可靠性。     

Present-day crustal movement of the Chinese mainland based on Global Navigation Satellite System data from 1998 to 2018

A total of more than 260 continuous stations and 2000 campaign stations from the Crustal Movement Observation Network of China (CMONOC) project, covering the Chinese mainland and its surrounding areas during the period of 1998–2018, are processed using the Bernese Global Navigation Satellite System (GNSS) software via a state-of-the-art method. We obtain the coordinate time series of all the stations given in the reference frame ITRF2014, estimate the coseismic deformation, and remove outliers. Lastly, we present the latest, most complete, and most accurate contemporary horizontal velocity field with respect to the stable Eurasian plate, irrespective of the postseismic deformations. This study shows that the signal of tectonic movement in Western China is stronger than that in Eastern China particularly in the Tibetan Plateau, with a rate of 18–32?mm/a. Moreover, the signal decays sharply from south to north. However, North China and South China move coherently to the ESE direction mostly at a rate of 4–10?mm/a and have not experienced any abrupt velocity gradients in their interiors. Meanwhile, Northeast China has the lowest velocity of only 2–4?mm/a in addition to the coastal areas that have slightly larger velocities. The densified and continuous observation of GNSS stations are of great significance to the study of the present-day crustal movement and tectonic deformation characteristics of the Chinese mainland. This would help to provide better constraints on the kinematics and dynamics of the region.     

Adaptive level of autonomy for human-UAVs collaborative surveillance using situated fuzzy cognitive maps

Collaborating with a squad of Unmanned Aerial Vehicles (UAVs) is challenging for a human operator in a cooperative surveillance task. In this paper, we propose a cognitive model that can dynamically adjust the Levels of Autonomy (LOA) of the human-UAVs team according to the changes in task complexity and human cognitive states. Specifically, we use the Situated Fuzzy Cognitive Map (SiFCM) to model the relations among tasks, situations, human states and LOA. A recurrent structure has been used to learn the strategy of adjusting the LOA, while the collaboration task is separated into a perception routine and a control routine. Experiment results have shown that the workload of the human operator is well balanced with the task efficiency.