电缆槽对电缆间串扰的影响研究

电缆在使用时一般会铺设在电缆槽中,而电缆槽对铺设其中电缆之间的串扰会形成影响.针对电缆槽中电缆之间的串扰问题,提出一种结合多端口网络理论及分块级联思想的建模方法,使用基于波导格林函数的矩量法来提取电缆槽中电缆间的分布参数,并用虚拟节点理论将提取的分布参数矩阵转化为模型中的传输函数.通过与商业电磁仿真软件的仿真结果进行对比,验证了本文的模型及算法在分析电缆槽中电缆间的串扰问题时具有较好的精确度,最后运用此方法分析了电缆处于电缆槽中不同位置时的线间串扰大小,并结合铁路现场的实际情况对电缆槽中电缆的布线方式提出了建议.     

船舶运动建模与仿真研究进展及未来发展趋势

梳理和分析了国内外学者对船舶运动建模与仿真所做的工作,概括了在风、浪、流、冰、船间效应、岸壁效应等作用下的船舶操纵性预报,介绍了船舶运动仿真的主流方法及在模拟中的应用,总结归纳了船舶运动建模与仿真研究进展中的关键技术,并指出智能化建模和仿真将会成为未来发展趋势.     

The Dynamics Characteristics of Flexible Spacecraft and its Closed-Loop Stability with Passive Control

Passive control is the most popular methodology for flexible spacecraft while it remains an open problem whether the closed-loop performance can be achieved only with passive control subject to the coupling modes of rigid and flexibility. Also, the closed-loop performance of passive PD control based on the dynamics of the Euler angle parameterization of spacecraft, which has been widely used in practice, is yet to be addressed. Towards these challenges, by introducing the input-output exact linearization theory and Lyapunov theory, the authors show that the closed-loop performance for flexible spacecraft with rigid and flexible modes can be achieved by adjusting the parameters of the passive controllers sufficiently large. This is done by firstly transforming the flexible spacecraft dynamics into an exact feedback linearization standard form, and then analyzing the closed-loop performance of flexible spacecraft.     

基于知识图谱的核电设备健康管理知识建模与分析

随着信息技术发展,设备健康数据与知识图谱技术结合为设备健康发展带来新的发展机遇,知识图谱利用其多种特异性优势,使企业系统中积累的海量设备维修数据得到有效整合利用.本文提出基于知识图谱的核电设备健康管理知识建模与分析方法,并根据实体关系模型构建维修知识图谱本体框架,同时基于核电企业实际的维修工单数据,从统计分析和关联分析两方面取得良好的实践效果.研究结果表明,知识图谱能够在设备维修知识的集成上解决传统的数据孤岛问题,同时能基于故障的可视化分析为维修人员和管理人员提供决策和知识支持.     

海、陆两用风力发电实验平台设计

在风电场通过现场测试分析研究风力机性能由于受到现场环境的限制,能够获得的研究数据有限,室内模拟实验平台能够有效弥补研究不足.为此提出了一种海、陆两用风力发电实验平台方案.该实验平台由来风装置、风轮、发电机、两段式塔架、漂浮台、波浪产生装置、传感检测和数据采集系统等构成.在实验平台整体方案基础上,进行了结构参数设计,建立了漂浮台受力分析模型并获得了合理的结构参数,以Lab VIEW为开发环境设计了上位机运行状态监控系统.最后,基于构建的实验平台,开展了部分风力机动态特性研究工作,对比分析了模拟陆地风力机和海上漂浮式风力机时塔架振动特性,为进一步深入开展风力机动态特性研究提供了基础.     

知识辅助的机载MIMO雷达STAP非均匀样本检测方法

When the covariance matrix is estimated with training samples contaminated by target like signals, the performance of target detection in multiple input multiple output (MIMO) radar space time adaptive processing (STAP) decreases. Aiming at this deficiency, a knowledge aided (KA) generalized inner product (GIP) method for non homogeneous samples detection is proposed. Firstly the clutter subspace knowledge estimated by prolate spheroidal wave functions is utilized to construct the clutter covariance matrix offline. Then the GIP non homogeneity detector (GIP NHD) is integrated to realize the effective selection of training samples, which eliminates the effect of the target like signals in training samples on target detection. The simulation results show that compared with the conventional GIP method, the KA GIP method can screen out contaminated training samples more effectively and the target detection performance of MIMO radar STAP can be improved significantly. 〖JP2〗Thus the proposed KA GIP method is more valuable for practical engineering application.     

Optimal investment problem for an insurer and a reinsurer

This paper studies the optimal investment problem for an insurer and a reinsurer. The basic claim process is assumed to follow a Brownian motion with drift and the insurer can purchase proportional reinsurance from the reinsurer. The insurer and the reinsurer are allowed to invest in a risk-free asset and a risky asset. Moreover, the authors consider the correlation between the claim process and the price process of the risky asset. The authors ?rst study the optimization problem of maximizing the expected exponential utility of terminal wealth for the insurer. Then with the optimal reinsurance strategy chosen by the insurer, the authors consider two optimization problems for the reinsurer: The problem of maximizing the expected exponential utility of terminal wealth and the problem of minimizing the ruin probability. By solving the corresponding Hamilton-Jacobi-Bellman equations, the authors derive the optimal reinsurance and investment strategies, explicitly. Finally, the authors illustrate the equality of the reinsurer's optimal investment strategies under the two cases.     

齐次核的Hilbert型多重级数不等式取最佳常数因子的等价条件及应用

利用实分析技巧和权函数方法, 讨论具有齐次核的多重级数Hilbert型不等式, 得到了其取最佳常数因子的充分必要条件, 并给出其应用.     

Defining G protein-coupled receptor peptide ligand expressomes and signalomes in human and mouse islets

Introduction

Islets synthesise and secrete numerous peptides, some of which are known to be important regulators of islet function and glucose homeostasis. In this study, we quantified mRNAs encoding all peptide ligands of islet G protein-coupled receptors (GPCRs) in isolated human and mouse islets and carried out in vitro islet hormone secretion studies to provide functional confirmation for the species-specific role of peptide YY (PYY) in mouse islets.

Materials and methods

GPCR peptide ligand mRNAs in human and mouse islets were quantified by quantitative real-time PCR relative to the reference genes ACTB, GAPDH, PPIA, TBP and TFRC. The pathways connecting GPCR peptide ligands with their receptors were identified by manual searches in the PubMed, IUPHAR and Ingenuity databases. Distribution of PYY protein in mouse and human islets was determined by immunohistochemistry. Insulin, glucagon and somatostatin secretion from islets was measured by radioimmunoassay.

Results

We have quantified GPCR peptide ligand mRNA expression in human and mouse islets and created specific signalomes mapping the pathways by which islet peptide ligands regulate human and mouse GPCR signalling. We also identified species-specific islet expression of several GPCR ligands. In particular, PYY mRNA levels were ~ 40,000-fold higher in mouse than human islets, suggesting a more important role of locally secreted Pyy in mouse islets. This was confirmed by IHC and functional experiments measuring insulin, glucagon and somatostatin secretion.

Discussion

The detailed human and mouse islet GPCR peptide ligand atlases will allow accurate translation of mouse islet functional studies for the identification of GPCR/peptide signalling pathways relevant for human physiology, which may lead to novel treatment modalities of diabetes and metabolic disease.