浅谈大学语文学习动机的激发和维持

本文从外在动机和内在动机两方面提出了在大学语文教学中激发和维持学生语文学习动机的若干方法及其重要性.     

高职生英语学习焦虑的成因与对策分析

高职学生在英语学习过程中普遍存在着焦虑情绪,一定程度上阻碍了学生英语水平的提高.对焦虑情绪对英语学习的影响、成因和如何预防及解决学生的焦虑情绪进行分析,以期对解决学生的焦虑情绪提供一些建议.     

组合动力运载器上升段轨迹智能优化方法

针对组合动力水平起飞可重复使用运载器，开展了上升段轨迹优化模型设计与轨迹优化方法研究。首先，针对跨大空/速域飞行须采用多种动力形式协调工作这一问题，考虑动力/气动/轨迹/指标间的复杂耦合关系，建立了运载器动力和气动模型。其次，为降低轨迹优化问题的求解难度，设计了一种全新的飞行剖面，实现了关键优化参数的提取和攻角约束的自动满足，减少了优化算法需要处理的约束数量。然后，提出了一种改进的粒子群优化(PSO)算法完成求解；在收敛性分析的基础上，引入强化学习机制对PSO寻优过程进行自主智能控制，从本质上提升了PSO算法的求解效率。最后通过数学仿真验证了方法的正确性和有效性。     

基于加速度频响函数小波分解的模型修正方法

为提高模型修正效率，满足修正方法对于实测环境噪声的鲁棒性，将Kriging模型和小波分解引入加速度频响函数模型修正。首先，将加速度频响函数进行小波分解，用得到的第1层幅值较大的小波系数来表征原频响函数。其次，采用拉丁超立方抽样对初选待修正参数进行设计，根据设计结果对各参数进行灵敏度分析，从而确定模型修正的待修正参数，以待修正参数作为Kriging模型输入，所对应的小波系数作为Kriging模型输出，通过混合灰狼算法寻得最优Kriging模型相关系数，建立精确有效的Kriging模型。最后，以目标加速度频响函数小波分解的小波系数与Kriging模型输出的小波系数差值最小为目标，通过水循环算法求解模型待修正参数。数值算例表明，所提模型修正方法具有良好的修正效果，即使在加速度频响函数中加入信噪比为5 dB的高斯白噪声时，修正误差也低于4%，证明了该方法对于随机噪声的鲁棒性。     

现代化视域下的高校师德建设路径

鉴于高校教师师德建设的重要性研究,在现代化视域下限定其论域边界,分析其与其他范畴的联系和区别,高校教师师德建设的具体路径。     

新型高精度变焦距系统设计

简要介绍了传统凸轮结构变焦距系统的原理、组成及存在的问题,并针对传统凸轮结构变焦距系统存在的主要问题,提出了一种新型高精度变焦距系统,用直线步进电动机替代凸轮机构控制变倍组和补偿组在直线导轨上线性或非线性精确移动,用直线光栅尺替代电位计,完成焦距值实时输出,并对步进电机实现闭环控制。该系统比传统凸轮结构变焦距系统光轴晃动减少90%,定位精度提高80%。     

Docking control for probe-drogue refueling: An additive-state-decomposition-based output feedback iterative learning control method

Designing a controller for the docking maneuver in Probe-Drogue Refueling (PDR) is an important but challenging task, due to the complex system model and the high precision requirement. In order to overcome the disadvantage of only feedback control, a feedforward control scheme known as Iterative Learning Control (ILC) is adopted in this paper. First, Additive State Decomposition (ASD) is used to address the tight coupling of input saturation, nonlinearity and the property of NonMinimum Phase (NMP) by separating these features into two subsystems (a primary system and a secondary system). After system decomposition, an adjoint-type ILC is applied to the Linear Time-Invariant (LTI) primary system with NMP to achieve entire output trajectory tracking, whereas state feedback is used to stabilize the secondary system with input saturation. The two controllers designed for the two subsystems can be combined to achieve the original control goal of the PDR system. Furthermore, to compensate for the receiver-independent uncertainties, a correction action is proposed by using the terminal docking error, which can lead to a smaller docking error at the docking moment. Simulation tests have been carried out to demonstrate the performance of the proposed control method, which has some advantages over the traditional derivative-type ILC and adjoint-type ILC in the docking control of PDR.     

Sunspot cycle prediction using Warped Gaussian process regression

Solar cycle prediction is a key activity in space weather research. Several techniques have been employed in recent decades in order to try to forecast the next sunspot-cycle maxima and time. In this work, the Gaussian process, a machine-learning technique, is used to make a prediction for the solar cycle 25 based on the annual sunspot number 2.0 data from 1700 to 2018. A variation known as Warped Gaussian process is employed in order to deal with the non-negativity constraint and asymmetrical data distribution. Tests using holdout data yielded a root mean square error of 10.0 within 5 years and 25.0–35.0 within 10 years. Simulations using the predictive distribution were performed to account for the uncertainty in the prediction. Cycle 25 is expected to last from 2019 to 2029, with a peak sunspot number about 117 (110 by the median) occurring most likely in 2024. Thus our method predicts that solar Cycle 25 will be weaker than previous ones, implying a continuing trend of declining solar activity as observed in the past two cycles.     

Orbital debris–debris collision avoidance

We focus on preventing collisions between debris and debris, for which there is no current, effective mitigation strategy. We investigate the feasibility of using a medium-powered (5 kW) ground-based laser combined with a ground-based telescope to prevent collisions between debris objects in low-Earth orbit (LEO). The scheme utilizes photon pressure alone as a means to perturb the orbit of a debris object. Applied over multiple engagements, this alters the debris orbit sufficiently to reduce the risk of an upcoming conjunction. We employ standard assumptions for atmospheric conditions and the resulting beam propagation. Using case studies designed to represent the properties (e.g. area and mass) of the current debris population, we show that one could significantly reduce the risk of nearly half of all catastrophic collisions involving debris using only one such laser/telescope facility. We speculate on whether this could mitigate the debris fragmentation rate such that it falls below the natural debris re-entry rate due to atmospheric drag, and thus whether continuous long-term operation could entirely mitigate the Kessler syndrome in LEO, without need for relatively expensive active debris removal.