基于脑电功率谱密度的作业人员脑力负荷评估方法

脑力负荷状态的准确识别对减少因作业人员无效脑力负荷导致的人因事故具有重要意义。针对人-机系统中作业人员脑力负荷客观评估问题开展了基于MATB-Ⅱ平台的3种不同脑力负荷水平下的航空情境实验，记录16名被试的NASA任务负荷指数（NASA-TLX）量表数据和脑电（EEG）信号，提出了一种基于脑电功率谱密度（PSD）和支持向量机（SVM）的个体脑力负荷评估方法。结果表明：随着实验设计脑力负荷水平增加，被试的主观脑力负荷得分显著提高（p<0.001），这表明该实验任务设计较好地诱发了低负荷、中负荷和高负荷情境。在此基础上，通过网格搜索法确定个体脑力负荷评估模型的统一优化参数，惩罚系数取3 000，核函数参数取0.000 1，模型测试正确率达到0.966 5±0.029 8，宏平均的受试者工作特征曲线下的面积（Macro-AUC）达到0.991 0±0.011 4。本文为作业人员脑力负荷状态的客观和准确评估提供了一种新的办法，为后期作业人员脑力负荷状态的实时判别提供模型基础。     

全民健身运动的体育资源开发调查与分析

摘 运用文献资料法、专家访谈法、问卷调查法、数理统计法来进行调查与研究，从长沙市全民健身运动开展的体育资源利用实际情况出发，对长沙市全民健身运动开展的情况进行分析，根据全民健身运动过程中体育资源利用的情况，结合实际，提出了全民健身运动开展体育资源开发的对策，希望能为建立符合长沙市实际情况需要的全民健身运动发展模式寻求理...     

火箭橇体进水现象研究

在考核过载承受能力的火箭橇试验后,橇体内发现有水,从空气动力学的角度,对火箭橇体进水现象进行了初步分析,并利用FLUENT软件对进水原因进行了初步研究,通过分析,发现结构在穿越跨音速阶段时,由于内外压差的变化将导致内部或外部产生水汽。该发现为结构设计提供有益的建议。     

High temporal resolution global PWV dataset of 2005–2016 by using a neural network approach to determine the mean temperature of the atmosphere

Atmospheric water vapour plays an important role in phenomena related to the global hydrologic cycle and climate change. However, the rapid temporal–spatial variation in global tropospheric water vapour has not been well investigated due to a lack of long-term, high-temporal-resolution precipitable water vapour (PWV). Accordingly, this study generates an hourly PWV dataset for 272 ground-based International Global Navigation Satellite System (GNSS) Service (IGS) stations over the period of 2005–2016 using the zenith troposphere delay (ZTD) derived from global-scale GNSS observation. The root mean square (RMS) of the hourly ZTD obtained from the IGS tropospheric product is approximately 4 mm. A fifth-generation reanalysis dataset of the European Centre for Medium-range Weather Forecasting (ECMWF ERA5) is used to obtain hourly surface temperature (T) and pressure (P), which are first validated with GNSS synoptic station data and radiosonde data, respectively. Then, T and P are used to calculate the water vapour-weighted atmospheric mean temperature (Tm) and zenith hydrostatic delay (ZHD), respectively. T and P at the GNSS stations are obtained via an interpolation in the horizontal and vertical directions using the grid-based ERA5 reanalysis dataset. Here, Tm is calculated using a neural network model, whereas ZHD is obtained using an empirical Saastamoinen model. The RMS values of T and P at the collocated 693 radiosonde stations are 1.6 K and 3.1 hPa, respectively. Therefore, the theoretical error of PWV caused by the errors in ZTD, T and P is on the order of approximately 2.1 mm. A practical comparison experiment is performed using 97 collocated radiosonde stations and 23 GNSS stations equipped with meteorological sensors. The RMS and bias of the hourly PWV dataset are 2.87/?0.16 and 2.45/0.55 mm, respectively, when compared with radiosonde and GNSS stations equipped with meteorological sensors. Additionally, preliminary analysis of the hourly PWV dataset during the EI Niño event of 2014–2016 further indicates the capability of monitoring the daily changes in atmospheric water vapour. This finding is interesting and significant for further climate research.     

Particle swarm optimization applied to hypersonic reentry trajectories

This paper presents the novel use of the particle swarm optimization(PSO)to generate the end-to-end trajectory for hypersonic reentry vehicles in a quite simple formulation.The velocitydependent bank angle profile is developed to reduce the search space of unknown parameters based on the constrained PSO algorithm.The path constraints are enforced by setting the fitness function to be infinite on condition that the particles violate the maximum allowable values.The PSO algorithm also provides a much easier means to satisfy the terminal conditions by adding penalty terms to the fitness function.Furthermore,the approximate reentry landing footprint is fast constructed by incorporating an interpolation model into the standardized bank angle profiles.Numerical simulations demonstrate that the PSO method is a feasible and flexible tool to generate the end-to-end trajectory and landing footprint for hypersonic reentry vehicles.     

简论高校实验课程的改革

实验教学是高等院校教学过程的一个重要环节,应建立新型的实验室管理模式,从开放实验室和改革教学方法两个方面出发,阐述了实验课程改革的必要性。     

无源滤波器频率漂移的一种迭代算法

文章介绍了无源滤波器在试验过程中产生的典型幅频特性漂移曲线，并针对这些典型曲线提出了基于均方误差最小原则和牛顿迭代的频率漂移算法。     

用于分级燃烧的高性能燃油分配器的改进设计与仿真

为了提高燃料使用效率、降低污染物排放,在已有分级燃烧燃油分配器基础上,针对航空发动机双环腔燃烧室改进设计了1种高性能燃油分配器。简述了分级燃烧燃油分配器的工作原理,建立了其AMESim模型。根据设计要求,通过仿真验证了燃油分配器的稳定性、分配比与输入信号的稳态关系,计算了燃油分配器输出与燃油分配计划表之间的误差,分析了燃油分配器的动态特性以及对外部参数变化的鲁棒性,并且针对该分配器的非线性特性提出了解决办法。仿真结果表明：与文献[4]所设计的燃油分配器相比,改进设计的燃油分配器鲁棒性更好,稳态和动态性能更优。     

面向高级在轨系统的动态服务质量保证方法研究

AOS(Advanced Orbiting System,高级在轨系统)已经逐渐被各国空间组织采用,随着空间任务的发展趋势更多样化和复杂化,对AOS的QoS(Quality of Service,服务质量)也提出了更高要求.针对AOS服务质量的提升需求,提出了一种虚拟信道优先级策略,使用大容量缓存结合数据压缩动态策略和遥测数据抽帧策略相结合的QoS保证方法,通过分析返向链路带宽与航天器遥测用户带宽的裕量,可以动态调整QoS保证,以适应不同应用环境下的航天器AOS的QoS保证需求.通过模拟不同的工况进行仿真试验,结果表明,该AOS服务质量保证方法适用于返向链路带宽裕量充足和不足的工况,比传统的全同步策略和同步异步结合策略拥有更广泛的适应范围.