8802超低频标准相位产生器

８８０２超低频标准相位产生器采用数字技术，用Ｄ／Ａ变换方法产生正弦信号，由单片机控制频率和相位，频率由晶振综合产生，相位可数字预置，频率准确度高至±５×１０￣（－６），相位准确度高至±０．０００２°。介绍了主要技术指标、工作原理、技术特点和误差分析等。     

可编程数字锁相环的研制

介绍一种可编程数字锁相环。它由单片机和数字锁相环构成。其中锁相环的工作状态和参数由单片机处理和控制。这样能较好地解决稳态误差与稳态建立时间之间的矛盾，基本上实现了在保证稳态误差小的同时，可大幅度地缩短稳态建立时间的目的，使原来的数字锁相环的性能更优。     

社会转型时期市民心态特征及相应对策

改革触及了经济领域和上层建筑，并使之发生着深刻的变化，且调整了人们的社会关系、利益关系，从而造成了社会心态的多样性。本文通过对大量调查资料的研究分析，真实详细地描述了社会转型阶段人们（以北京、上海、沙市为例）各种心态的现状，及由此产生的一系列社会问题。通过深入细致地剖析，分析总结其产生的原因及正负效应，从而提出对各种心态应采取的相应措施、方法。     

基于数字孪生的智能脉动管控

为提升飞机总装脉动生产线智能化水平,开展了基于数字孪生的智能脉动管控研究。基于数字孪生五维模型理论构建了飞机总装脉动生产线数字孪生应用架构,从反应式计划调度、物流精准配送、智能作业指导、产线健康监视、资源迭代优化配置5个方面开展了技术研究,为复杂产品装配的智能制造应用提供参考。     

Numerical study of traveling ionosphere disturbances with vertical incidence data

High frequency ionosphere vertical sounding, as an important and representative application for detecting the ionosphere and studying the characteristics of radio propagation, can be utilized to monitor the ionosphere continuously variation and to acquire the ionosphere asymmetrical features of diverse scale above the ionosphere vertical sounding stations. This is a first article on real time application of numerical methods to obtain the parameters of traveling ionosphere disturbances (TIDs) using vertical incident ionograms. In this paper, the distribution of ionosphere electron density with TIDs is constructed using a background ionosphere model superimposed a perturbation theory model. The background ionosphere electron density is modelled by the inversion of vertical incident ionograms which are observed before the appearance of the disturbance. Based on the fourth order Adams-Bashforth-Moulton (the so-called ABM) predictor corrector method, instead of Runge-Kutta method, the fast digital ray tracing method is established. According to process of the disturbed trace simulation and parameters inversion, the characteristic parameters of ionosphere disturbance at different detection time can be obtained in real time. The numerical analysis of TIDs is then captured completely.     

A novel architecture of electro-hydrostatic actuator with digital distribution

To address the flow imbalance rapidly of the asymmetric Electro-Hydrostatic Actuator (EHA), this paper presents a novel architecture of asymmetric EHA with the Digital Distribution (EHA-DD). It also improves the flow nonlinearity and control accuracy of the pump, especially in the low-speed condition. The digital distribution with two High-Speed on–off Valves (HSVs) not only balances flow instead of the check valves, but also replaces the pump at the low-speed to control output flow by adjusting the PWM signal. The pump and HSVs are the crucial components to control flow output. Firstly, the flow calculation models of the pump and the duty ratio inversed model of the HSV are obtained through experimental tests and the identification method. To get the control input signal for the required flow, the pump speed and PWM duty ratio for the HSVs are inversed to compensate for flow output. Further, a multimode digital flow distribution control method based on pump speed, mainly including the pump-controlled mode for large flow demand and valve-controlled mode for little flow demand, is proposed to control the accurate flow output actively. The step extension experiments based on the flow calculation models are conducted on the EHA-DD prototype under elastic, opposite varying load. The results demonstrate that the EHA-DD realizes little position error by accurate flow control, and it is also beneficial to improve the service life of the pump.     

《思想道德修养与法律基础》课多媒体教学设计的探索

《思想道德修养与法律基础》课多媒体教学设计要坚持教材体系向教学体系转化等原则,将书本内容形象化,抽象理论直观化;基本知识情景化,教学环境轻松化;媒体素材选择化,各种资源主题化;学习空间无限化,学习方式交互化。从而使现代教育思想、多媒体技术和传统教学模式有机地结合起来,通过教学资源平台和网络平台等多媒体技术,创设利于教学的学习环境,完成对道德与法律知识的建构和对学生行为的指导。     

某框基于后置程序逆向设计及数字化高效加工研究

介绍了飞机某框从逆向设计到数字化高效加工详细流程,应用以CATIA V5、VERICUT为代表的先进数字化制造技术,使零件数字化设计、数字化加工、工艺流程得到全面改进,为今后零件逆向设计及数字化加工奠定良好的基础。     

Bayesian network-based extraction of lunar impact craters from optical images and DEM data

Impact craters are among the most noticeable geomorphological features on the planetary surface and yield significant information about terrain evolution and the history of the solar system. Thus, the recognition of impact craters is an important branch of modern planetary studies. Aiming at addressing problems associated with the insufficient and inaccurate detection of lunar impact craters, a decision fusion method within the Bayesian network (BN) framework is developed in this paper to handle multi-source information from both optical images and associated digital elevation model (DEM) data. First, we implement the edge-based method for efficiently searching crater candidates which are the image patches that can potentially contain impact craters. Secondly, the multi-source representations of an impact crater derived from both optical images and DEM data are proposed and constructed to quantitatively describe the two-dimensional (2D) and three-dimensional (3D) morphology, consisting of Histogram of Oriented Gradient (HOG), Histogram of Multi-scale Slope (HMS) and Histogram of Multi-scale Aspect (HMA). Finally, a BN-based framework integrates the multi-source representations of impact craters, which can provide reductant and complementary information, for distinguishing craters from non-craters. To evaluate the effectiveness and robustness of the proposed method, experiments were conducted on three lunar scenes using both orthoimages from the Lunar Reconnaissance Orbiter (LRO) and DEM data acquired by the Lunar Orbiter Laser Altimeter (LOLA). Experimental results demonstrate that integrating optical images with DEM data significantly decreases the number of false positives compared with using optical images alone, with F₁-score of 84.8% on average. Moreover, compared with other existing fusion methods, our proposed method was quite advantageous especially for the detection of small-scale craters with diameters less than 1000 m.     

Spatial transformation of general sampling-aliasing frequency region for rotating-blade parameter identification with emphasis on single-probe blade tip-timing measurement

Blade-health monitoring is intensely required for turbomachinery because of the high failure risk of rotating blades. Blade-Tip Timing (BTT) is considered as the most promising technique for operational blade-vibration monitoring, which obtains the parameters that characterize the blade condition from recorded signals. However, its application is hindered by severe undersampling and stringent probe layouts. An inappropriate probe layout can make most of the existing methods invalid or inaccurate. Additionally, a general conflict arises between the allowed and required layouts because of arrangement restrictions. For the sake of economy and safety, parameter identification based on fewer probes has been preferred by users. In this work, a spatial-transformation-based method for parameter identification is proposed based on a single-probe BTT measurement. To present the general Sampling-Aliasing Frequency (SAFE) map definition, the traditional time–frequency analysis methods are extended to a time-sampling frequency. Then, a SAFE map is projected onto a parameter space using spatial transformation to extract the slope and intercept parameters, which can be physically interpreted as an engine order and a natural frequency using coordinate transformation. Finally, the effectiveness and robustness of the proposed method are verified by simulations and experiments under uniformly and nonuniformly variable speed conditions.