基于深度贝叶斯网络学习的不确定性建模方法

战场态势评估涉及很多不确定因素,对不确定性进行仿真建模能够提高态势评估的能力。针对参战对象多元、不确定性增多导致的无法全面准确表达不确定性问题,提出了基于记忆模块和变分自编码器的深度贝叶斯网络模型。采用生成模型设计了基于深度贝叶斯网络学习的态势评估模型;阐述了融合记忆模块的深度生成模型原理和模型的学习与推理过程;以某空袭行动为例构建贝叶斯网络,对所提方法进行了验证。结果表明:深度神经网络能够逼近隐变量的非线性变换,设计的记忆模块能存储深度神经网络提取的大量局部特征,通过学习自动得到了贝叶斯网络条件概率,增强了不确定性建模能力。     

基于仿真驱动的高速公路主动限速效用评价与推荐

传统的路侧被动限速方式对于特定的惩处区域以外缺少管控,间接导致车辆行为在时空上的不一致性甚至突变,影响了交通的通行效率与安全性。从车侧主动限速方式入手,提出主动限速效用评价与推荐方法,结合道路线形、交通流量、车型比例,开展多情景主动、被动限速交通仿真,利用安全间接分析模型及交通流运行状态,从安全与效率2个层面提取效用评价指标及其权重,采用集成学习方法进行预测分析。结果显示：主动限速方式相较于被动限速方式更有利于提高安全性和调节效率,而在主动限速方面,GBDT(gradient boosting decision tree)回归模型的预测稳定性和准确率更高(R²=0.984)。     

The cystic fibrosis transmembrane conductance regulator (CFTR) and its stability

The cystic fibrosis transmembrane conductance regulator (CFTR) is responsible for the disease cystic fibrosis (CF). It is a membrane protein belonging to the ABC transporter family functioning as a chloride/anion channel in epithelial cells around the body. There are over 1500 mutations that have been characterised as CF-causing; the most common of these, accounting for ~70 % of CF cases, is the deletion of a phenylalanine at position 508. This leads to instability of the nascent protein and the modified structure is recognised and then degraded by the ER quality control mechanism. However, even pharmacologically ‘rescued’ F508del CFTR displays instability at the cell’s surface, losing its channel function rapidly and it is rapidly removed from the plasma membrane for lysosomal degradation. This review will, therefore, explore the link between stability and structure/function relationships of membrane proteins and CFTR in particular and how approaches to study CFTR structure depend on its stability. We will also review the application of a fluorescence labelling method for the assessment of the thermostability and the tertiary structure of CFTR.     

Genome-wide association studies of 14 agronomic traits in rice landraces

Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ～ 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ～ 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.     

月地高速再入返回器热控设计及实现

针对月地高速再入返回器不同阶段大功率散热、小功率保温与高速返回过程中高温隔热之间的突出矛盾,以及狭小、局促空间内设备热量的收集、传输、排散与阻断等技术难题,首次构建一种基于柔性自适应"热开关"的小型再入返回类航天器热控体系,成功研制出一套基于异构式环路热管的一体化柔性、高效热管理系统.在轨飞行数据表明:核心热控产品环路热管控温运行模式下实际传热能力超过65 W,阻断模式下漏热量小于2 W,"热导比"大于30,能够很好地实现"热开关"功能,确保了返回器所有设备的温度水平优于指标要求.     

基于共形阵的角度和极化信息联合估计算法

针对复杂载体上共形阵列存在多极化接收和遮挡效应的问题,本文提出一种基于方向图矩阵重构导向矢量的改进极化多重信号分类(multiple signal classification, MUSIC)算法。首先对共形天线阵列进行建模,在获取各个阵元的方位和俯仰分量方向图数据后,将方向图数据分解并重构阵列的导向矢量矩阵,最后结合极化MUSIC算法进行波达方向(direction of arrival, DOA)和极化参数联合估计。相对于理论导向矢量的极化MUSIC算法,本文所提改进算法在解决了遮挡效应的同时具有更高的估计精度,并可有效降低运算量。仿真实验结果验证了这一结论。     

基于Web的港口机械协同设计实现技术

为了适应日益激烈的全球性市场竞争，港口机械企业必须改变其传统的设计和生产方式，进一步缩知产品开发周期，降低生产成本，提高产品质量，加强售后服务。关键就是如何充分发挥设计团队的集体力量和计算机支持系统的能力。这不仅要求单个设计人员具有理广博的知识，而且更需要不同科学之间的设计人员通力使用、协同工作，为此，在港口设计领域中建立了基于Web的计算机支持的协同设计的框架，并利用互联网实现协同设计，讨论了利用Web服务站点的动态服务网页ASP技术，着重论述了实现这一技术的关键问题和过程。     

The unconditional stability for the hyperneutral type constant linear control system with delays (I)

By means of the frequency domain method and the inequality analysis, we discuss the unconditional stability problem for the hyperneutral type constant linear control system with delays, and obtain some precise sufficient, sufficient and necessary conditions. Foundation item: Supported by the Natural Science Foundation of Hubei Province (2000A49005) Biography: Li Ye-ping (1972-), male, Lecturer, research direction: partial differential equation and differenfial dynamic systems.     

LiNbO_3单晶蚀象、光象、形态、结构之间的关系

研究了 LiNbO_3单晶的蚀象、光象。观察到与晶体方向有关的蚀象和光象之间有对应关系,且各晶面上蚀象及光象的对称性均与晶体的对称性相一致。认为晶体的微观结构决定了它的表面形态,蚀象是该形态的一种表现形式,而光象则是蚀象的一种光学效应。