多传感器信息融合白噪声去卷Wiener滤波器和平滑器

应用现代时间序列分析方法和白噪声估计理论,在线性最小方差最优信息融合准则下,提出了多传感器最优信息融合白噪声去卷W iener滤波器和平滑器,其中给出了局部滤波误差之间的协方差公式,它可被用于计算最优融合加权系数.同单传感器情形相比,可提高融合估值器精度.它可应用于石油地震勘探信号处理.一个3传感器信息融合Bernoulli-Gaussian白噪声去卷滤波器的仿真例子说明了其有效性.     

灵敏度分析在惯导平台误差参数辨识中的应用

为了解决传统的惯导平台测漂方案下,惯导平台上陀螺安装误差角的系统级辨识精度不高的问题,对平台漂移的非线性模型进行了灵敏度分析,找出了影响陀螺安装误差角辨识精度的主要因素,进而提出了转台相对地面存在角速率条件下的改进辨识方案.仿真结果表明,在改进的辨识方案下误差角的辨识精度获得了显著提高.     

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.     

Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm

A high-density haplotype map recently enabled a genome-wide association study (GWAS) in a population of indica subspecies of Chinese rice landraces. Here we extend this methodology to a larger and more diverse sample of 950 worldwide rice varieties, including the Oryza sativa indica and Oryza sativa japonica subspecies, to perform an additional GWAS. We identified a total of 32 new loci associated with flowering time and with ten grain-related traits, indicating that the larger sample increased the power to detect trait-associated variants using GWAS. To characterize various alleles and complex genetic variation, we developed an analytical framework for haplotype-based de novo assembly of the low-coverage sequencing data in rice. We identified candidate genes for 18 associated loci through detailed annotation. This study shows that the integrated approach of sequence-based GWAS and functional genome annotation has the potential to match complex traits to their causal polymorphisms in rice.     

3-羟基根皮苷对小鼠血糖及糖异生关键酶G-6-Pase的影响

探究湖北海棠(Malus hupehensis(Pamp.)Rehd.)叶中主要成分3-羟基根皮苷对小鼠血糖及糖异生关键酶葡萄糖-6-磷酸酶(glucose-6-phosphatase,G-6-Pase)的影响,为稳定血糖提供可行方案.采用葡萄糖氧化酶法测定胰岛素抵抗模型HepG2细胞的葡萄糖摄取;注射链脲佐菌素建立二...     

基于连通图动态分裂的聚类算法

当前大部分的聚类算法都难以处理任意形状和大小、存在孤立点和噪音以及密度多变的簇,为此,文中提出了一种基于连通图动态分裂的聚类算法.首先构造数据集的l-连通图,然后采用动态分裂策略对l-连通图进行分割,把数据集分成多个互不相连的连通图子集,每个连通图子集为一类.实验结果表明,所提出的算法能够有效地解决任意形状和大小、存在孤立点和噪音以及密度多变的簇的聚类问题,具有广泛的适用性.     

室内人体移动过程对热舒适的影响研究

使用计算流体力学(CFD)技术,结合动网格技术和刚体运动学理论,对室内人体移动进行了动态模拟,得到了人体移动过程中不同时刻室内流场分布.分析了移动过程中的平均温度、平均速度、温度和速度不均匀性指标,并预测了有效吹风温度(TEDT)、空气分布特性指标(ADPI)和吹风感的不满意率指标(PD),比较了不同人体移动速度对以上指标的影响.模拟结果表明,人体移动对室内气流分布和热舒适有短期影响,能提高室内风速的扰动,造成吹风感.     

基于多种指标优化的连锁故障预防策略研究

为了预防连锁故障的发生,兼顾电网运行时的安全裕度和电压稳定情况,将电网当前运行与临界状态的节点注入功率之间的差值转化为安全裕度指标;分别将衡量电网整体和某节点电压稳定的雅可比矩阵最小特征值指标和电压稳定的L指标相结合,给出了电压稳定的综合指标;结合电网实际情况给出了各种约束条件,由此确定了完整的预防连锁故障模型;提出了监控优化过程中电网切除初始故障后的剩余支路所受潮流转移的影响程度是否在降低,从侧面证明了文中提出的预防连锁故障模型能够达到预防连锁故障的目的;通过对IEEE39节点系统进行算例仿真,验证了所构建的预防连锁故障模型的可行性和有效性.     

自校正信息融合Kalman预报器

对含未知噪声统计的多传感器系统,用现代时间序列分析方法,基于滑动平均（MA）新息模型的在线辨识和求解相关函数矩阵方程组,可在线估计噪声统计,进而在按矩阵加权线性最小方差最优信息融合准则下,提出了自校正信息融合Kalman预报器。证明了它的收敛性,即它具有渐近最优性,且自校正融合Kalman预报器比每个局部自校正Kalman预报器精度高。一个目标跟踪系统的仿真例子说明了其有效性。     

多传感器全局最优加权观测融合Wiener信号滤波器

基于Kalman滤波,应用加权观测融合方法,对于带白色观测噪声的单通道ARMA信号,提出了全局最优多传感器观测融合Wiener信号滤波器。可统一处理信号融合滤波、平滑和预报问题。同集中式规测融合方法和分布式状态融合方法相比．不仅可获得全局最优Wiener信号滤波器,而且明显减小计箅负担,便于实时应用。一个三传感器加权观测融合仿真例子说明了其有效性。