Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia

Enhancing the dust storm detection is a key part for the environmental protection, human healthy and economic development. The goal of this paper is to propose a new Support Vector Machine (SVM)-based method to automatically detect dust storms using remote sensing data. Existing methods dealing with this problem are usually threshold-based that are of great complexity and uncertainty. In this paper we propose a simple and reliable method combining SVM with MODIS L1 data and explore the optimal band combinations used as the feature vectors of SVM. The developed method was evaluated by MODIS and OMI data qualitatively and quantitatively on three study sites located in the Arabian Desert, Gobi Desert and Taklimakan Desert, and it was also compared to three other traditional methods based on their accuracy, complexity, reliability and sensitivity to thresholds. The detection results demonstrated that the combination of (Band7 − Band3)/(Band7 + Band3) ((B7 − B3)/(B7 + B3)), Band20 − Band31 (B20 − B31), and Band31/Band32 (B31/B32) can detect the dust storms more precisely than other individual bands or their combination. The comparison among those cases indicated that the proposed automatic method exhibited an advantage of minimizing the uncertainty and complexity, which were the limits of defining thresholds based on the threshold-based methods. The conclusions can provide references for studies that focus on statistical-based dust storm detection.     

复杂通道类零件五轴加工刀轴规划

针对复杂通道类零件的五轴数控加工,提出一种控制刀轴稳定变化的刀轴规划方法。首先,通过对刀轴可行空间的均匀离散,建立一种高效求解刀轴可行空间精细边界的方法;然后,依据刀轴矢量规划准则,求解满足机床角加速度约束的可行刀轴序列集合,并提出一种切削行内旋转坐标线性变化的刀轴矢量规划方法;最后,通过建立刀轴变化和残留高度综合评价指标,得到优化的刀轴矢量,并与典型的商用软件进行了实验对比验证。结果表明,使用本文提出的刀轴规划方法得到的切削行刀位轨迹旋转坐标变化均匀,旋转轴角加速度最大值降低到商用软件的10%以下,残留高度平均值降低了22%,改善了切削过程的稳定性,提高了加工表面质量。     

The future role of relay satellites for orbital telerobotics

Orbital robotics focuses on a variety of applications, as e.g. inspection and repair activities, spacecraft construction or orbit corrections. On-Orbit Servicing (OOS) activities have to be closely monitored by operators on ground. A direct contact to the spacecraft in Low Earth Orbit (LEO) is limiting the operational time of the robotic application. Therefore, geostationary satellites are desirable to relay the OOS signals and extend the servicing time window. A geostationary satellite in the communication chain not only introduces additional boundary conditions to the mission but also increases the time delay in the system. The latter is not very critical if the servicer satellite is operating autonomously. However, if the servicer is operating in a supervised control regime with a human in the loop, the increased time delay will have an impact on the operator’s task performance.     

影响聚四氟乙烯材料加工表面粗糙度因素的研究

在现代航空发动机的产品中,保护圈、密封件等零件广泛使用聚四氟乙烯材料制造.在加工中多采用车削加工,粗糙度一般为Ra1.6,本文通过选用不同车床、刀具、加工参数的方法,提高该类材料加工后的表面粗糙度,为后续加工提供经验和数据.     

Improving orbit prediction accuracy through supervised machine learning

Due to the lack of information such as the space environment condition and resident space objects’ (RSOs’) body characteristics, current orbit predictions that are solely grounded on physics-based models may fail to achieve required accuracy for collision avoidance and have led to satellite collisions already. This paper presents a methodology to predict RSOs’ trajectories with higher accuracy than that of the current methods. Inspired by the machine learning (ML) theory through which the models are learned based on large amounts of observed data and the prediction is conducted without explicitly modeling space objects and space environment, the proposed ML approach integrates physics-based orbit prediction algorithms with a learning-based process that focuses on reducing the prediction errors. Using a simulation-based space catalog environment as the test bed, the paper demonstrates three types of generalization capability for the proposed ML approach: (1) the ML model can be used to improve the same RSO’s orbit information that is not available during the learning process but shares the same time interval as the training data; (2) the ML model can be used to improve predictions of the same RSO at future epochs; and (3) the ML model based on a RSO can be applied to other RSOs that share some common features.     

纺纱机微电脑控制仪的设计及实现

单片机由于具有功能强，性能价格比高，使用方便等优点，已在工业测试和控制中得到了日益广泛的应用。本文介绍了采用单片机对纺纱机纺纱工艺过程进行自动控制，控制仪的硬件结构、软件设计及抗干扰措施。     

空心长轴深孔加工工艺研究

以某发动机空心长轴零件深孔加工为研究对象,设计了长径比为15,长度超过1米的整体硬质合金刀杆,在某加工项目试验中,应用这种超长整体硬质合金刀杆,在细长比大于10的空心长轴的深孔镗削加工中,改变了传统的深孔加工工艺,满足了空心长轴深孔加工中严格的壁厚差要求,取得了明显的效果.     

开式整体叶盘叶片型面数控抛光编程与工艺实验研究

针对开式整体叶盘叶片型面数控抛光,首先介绍多坐标数控抛光机,然后提出分段直纹面拟合叶片型面,并利用分段直纹面的偏置面直母线生成刀位轨迹,最后进行了数控抛光参数优化实验,实现了整体叶盘叶片的自动化高效精密抛光,提高了整体叶盘的表面质量.     

三自由度并联机床驱动分支动力学分析

动力学分析对于并联机床的设计有着重要的意义,本文应用有限元软件ANSYS,针对一种三自由度并联机床,建立了并联机床驱动分支的有限元模型,并对其进行了模态分析,分别获得了相应的5阶固有频率及其对应的振型图,其结果可以作为并联机床整机模态分析的重要参考。     

模糊控制器在全自动洗衣机中的应用

本文介绍了一种全自动洗衣机模糊控制策略，在传统洗衣机基础上，加装了模糊控制器，根据衣质衣量确定用水量，根据衣物的污浊度确定洗涤时间，再根据控制算法编制相应的程序，由模糊控制器控制洗衣机自动完成全部洗衣过程。