Adaptive recognition and correction of baseline shifts from collocated GPS and accelerometer using two phases Kalman filter

The real-time recognition and precise correction of baseline shifts in strong-motion records is a critical issue for GPS and accelerometer combined processing. This paper proposes a method to adaptively recognize and correct baseline shifts in strong-motion records by utilizing GPS measurements using two phases Kalman filter. By defining four kinds of learning statistics and criteria, the time series of estimated baseline shifts can be divided into four time intervals: initialization, static, transient and permanent. During the time interval in which the transient baseline shift is recognized, the dynamic noise of the Kalman filter system and the length of the baseline shifts estimation window are adaptively adjusted to yield a robust integration solution. The validations from an experimental and real datasets show that acceleration baseline shifts can be precisely recognized and corrected, thus, the combined system adaptively adjusted the estimation strategy to get a more robust solution.     

Application of reliability technologies in civil aviation: Lessons learnt and perspectives

We consider reliability engineering in modern civil aviation industry, and the related engineering activities and methods. We consider reliability in a broad sense, referring to other system characteristics that are related to it, like availability, maintainability, safety and durability. We covered the entire lifecycle of the equipment, including reliability requirement identification, reliability analysis and design, verification and validation of reliability requirements (typically involved in the equipment design and development phase), quality assurance (which typically enters in the manufacturing phase), and fault diagnosis and prognosis and maintenance (which are connected to the operation phase). Lessons learnt from reliability engineering practices in civil aviation industry are given, which might serve as reference for reliability managers and engineers, also from other industries with high reliability requirements.     

高超声速飞行器底层性能评价指标的可行性分析

针对控制性能指标是否适用于高超声速飞行任务评价，研究了底层指标的可行性分析方法。首先分析了高超声速飞行器的模型特性，指出底层指标具备高超声速飞行器评价可行性的两点要求。根据上述要求将可行性分析转化为对于任务变量到底层评价指标的映射分析，并提出了一种基于统计实验分析的检验方法。结合高超声速飞行器模型特点，进一步设计了可行性分析流程。然后，分别以静态任务要求和速度、高度跟踪任务要求为例，对应提出频域性能指标和时域性能指标的可行性分析方法。最后针对频域性能指标评价静态任务的可行性设计仿真实验加以验证。仿真结果表明可行性分析的结论与军标观点一致，而且所提出的分析流程具有较好的可实现性。     

基于变权重变异鸽群优化的无人机空中加油自抗扰控制器设计

针对空中加油过程中的受油机模型建模误差和强扰动以及自抗扰控制器（ADRC）人工参数整定难的问题，提出了一种基于变权重变异鸽群优化（VWMPIO）算法的无人机自抗扰控制器优化算法。首先，给出了六自由度无人机（UAV）模型，基于自抗扰控制结构设计了一种受油机的姿态控制器，在此基础上用所提出的变权重变异鸽群优化算法整定了自抗扰控制器参数。随后，将变权重变异鸽群优化与其他基本鸽群优化算法、粒子群优化算法进行了实验对比，并从控制性能和抗噪声性能的角度对自抗扰控制器和传统的比例-微分-积分（PID）控制器进行了仿真对比。实验结果表明所提算法能提高复杂态势环境下无人机空中加油的控制精度和扰动抑制性能。     

当代电视新闻报道的困境

媒介时代，电视新闻报道陷入角色困境和价值困境。其中角色困境呈现出多重性，角色主体随之谈化和异化。价值困境又包含了题材、创造、创作者、受众以及价值的有无困境等方面，并从中反映了当代审美文化的矛盾。     

夸克磁共振及磁共振治癌

主要提出了以下学术观点：①粒子世界中并不存在强相互作用，夸克休系是自由旋着的夸克在电磁－弱相互作用下产生的进动维系稳定的；②物质的质量源于夸克的质量，夸克的质量又源于它的自旋。自旋转速不同，能量不同，质量就不同；③用高能粒子碰撞分离出自由夸克很难，但用夸克磁共振（ＱＭＲ）分离出自由夸克却很容易；④利用纵向驰豫时间的差别，使ＱＭＲ仅在肿瘤组织内分离出自由夸克，就可在治癌的同时，不伤及正常组织，从而为     

内外网转换卡在空管信息建设中的应用

一、背景 民航各地区空管局为实现信息化，在空管局内部建立了局域网，通过局域网，空管局内部实现了资源的共享、信息的互通，从而为自动化办公系统、各专业系统信息的整合，进而建立起对内对外提供信息服务的网络平台创造了必备条件。同时，空管局内部还需要接入INTERNET，以利于及时掌握和收集外界的信息和内部一些信息的对外发布。为此，空管局建立了内网和外网，为实现内网数据和信息的保密与安全，内外网必须物理隔绝，在网络综合步线上，内外网分开步线，但在接入桌面计算机时，不能同时接入计算机，需要进行内外网络的转换。