基于小样本学习的多因素单粒子翻转截面预测

针对空间粒子辐射效应评价中的多因素影响问题,提出了端到端数据驱动方法预测多因素条件下的单粒子翻转截面。首先通过卷积神经网络进行多因素特征提取,接着利用小样本学习匹配网络进行样本间特征融合,最后使用集成学习回归器预测重离子线性能量传输和单粒子翻转截面的关系曲线。在公开文献中提取的2种类型182个样本的小规模数据集上,对该模型进行端到端训练和测试,结果表明:该方法能够有效预测大部分场景下的多因素效应单粒子翻转界面,并能对各因素的重要程度给出量化评价,在国产处理器SM750的案例分析中获得了与重离子辐照实验相当的系统失效率上界。与传统方法相比,这种方法不依赖经验参数,具有更广泛的应用场景。     

Learning Spatial Localization: From Rat Studies to Computational Models of the Hippocampus

In his landmark article, Richard Morris (1981) introduced a set of rat experiments intended “to demonstrate that rats can rapidly learn to locate an object that they can never see, hear, or smell provided it remains in a fixed spatial location relative to distal room cues” (p. 239). These experimental studies have greatly impacted our understanding of rat spatial cognition. In this article, we address a spatial cognition model primarily based on hippocampus place cell computation where we extend the prior Barrera–Weitzenfeld model (2008) intended to allow navigation in mazes containing corridors. The current work extends beyond the limitations of corridors to enable navigation in open arenas where a rat may move in any direction at any time. The extended work reproduces Morris's rat experiments through virtual rats that search for a hidden platform using visual cues in a circular open maze analogous to the Morris water maze experiments. We show results with virtual rats comparing them to Morris's original studies with rats.     

陶瓷材料小裂纹的生长与聚合

对陶瓷材料小裂纹的生长与聚合规律进行了试验研究。结果表明由Ｖｉｋｅｒｓ压痕法引入的单个小裂纹的裂纹扩展速率（ｄａ／ｄｔ）随裂尖应力强度因子的增大呈先降后升的Ｖ形特征。理论分析和数据处理均表明这种特征是由压痕法引入的残余应力场的影响所致。试验结果还表明多个小裂纹的生长与聚合规律也与残余应力场密切相关。文中提出的叠加残余应力场模型很好地解释了上述试验结果     

SMESE (SMall Explorer for Solar Eruptions): A microsatellite mission with combined solar payload

The SMESE (SMall Explorer for Solar Eruptions) mission is a microsatellite proposed by France and China. The payload of SMESE consists of three packages: LYOT (a Lyman α imager and a Lyman α coronagraph), DESIR (an Infra-red Telescope working at 35–80 and 100–250 μm), and HEBS (a High Energy Burst Spectrometer working in X- and gamma-rays).     

小角度仪器检定0级平板平面度的误差研究

通过误差分析与计算，论证了0.01mm／m合象水平仪不能满足0级平板平面度检定精度要求，采用0．005mm／m自准直仪或电子水平仪可获得满意的检定精度结果。由此得出正确选择检定工具，对于保证0级平板检定质量有着重要意义。     

Small scale structures in the solar corona

The observational characteristics of the small scale magnetic structures are summarized. The temperature structure and temporal variability of the emission from coronal bright points, that pervade the source region of the solar wind in coronal holes and the quiet sun, and from active regions are shown to be remarkably similar. Particular emphasis is given to observations, potentially feasible with SOHO, that could resolve some of the outstanding issues regarding the role of the small scale magnetic structures in the energy balance and properties of the solar wind.     

否定中国传统文化的里程碑--<中国儒教史>批评之三

本文是针对张荣明先生《儒教研究的里程碑》一文而作，是针对张先生所涉及到的相关问题而言，不妥之处，敬请各方批评指正。     

支持向量机增量学习方法及应用

基于支持向量机的增量学习作为一种数据挖掘与知识发现技术,已在目标识别,网页分类等诸多领城得到应用.在概述其机理的基础上,从如何提高学习精度与学习速度着手,分析了现有算法及其优缺点和需要改进的问题;论述了增量学习的应用现状,并提出进一步的研究方向.     

基于迭代学习的PID控制器研究

将目前对u(t)的记忆与修正改成对期望控制ud(t)的记忆与修正,提出两种新的拟合控制系统的PID控制器参数的方法。这两种方法实现的PID控制器较常规的PID控制器结构简单,作用于系统可获得较佳的动态特性和较强的鲁棒性。研究目的是为迭代学习控制理论在设计性能优良的控制器方面扩大应用领域。     

用小角度测量仪校准合象水平仪的不确定度问题探讨

介绍了微分筒式小角度测量仪的构造及测量原理 ,对使用该小角度测量仪校准合象水平仪时的测量不确定度进行了分析计算 ,指出使用微分筒法校准合象水平仪准确度高且操作方便。