Image and Feature Space Based Domain Adaptation for Vehicle Detection

The application of deep learning in the field of object detection has experienced much progress. However, due to the domain shift problem, applying an off-the-shelf detector to another domain leads to a significant performance drop. A large number of ground truth labels are required when using another domain to train models, demanding a large amount of human and financial resources. In order to avoid excessive resource requirements and performance drop caused by domain shift, this paper proposes a new domain adaptive approach to cross-domain vehicle detection. Our approach improves the cross-domain vehicle detection model from image space and feature space. We employ objectives of the generative adversarial network and cycle consistency loss for image style transfer in image space. For feature space, we align feature distributions between the source domain and the target domain to improve the detection accuracy. Experiments are carried out using the method with two different datasets, proving that this technique effectively improves the accuracy of vehicle detection in the target domain.     

Active disturbance rejection based trajectory linearization control for hypersonic reentry vehicle with bounded uncertainties

This paper investigates a novel compound control scheme combined with the advantages of trajectory linearization control (TLC) and alternative active disturbance rejection control (ADRC) for hypersonic reentry vehicle (HRV) attitude tracking system with bounded uncertainties. Firstly, in order to overcome actuator saturation problem, nonlinear tracking differentiator (TD) is applied in the attitude loop to achieve fewer control consumption. Then, linear extended state observers (LESO) are constructed to estimate the uncertainties acting on the LTV system in the attitude and angular rate loop. In addition, feedback linearization (FL) based controllers are designed using estimates of uncertainties generated by LESO in each loop, which enable the tracking error for closed-loop system in the presence of large uncertainties to converge to the residual set of the origin asymptotically. Finally, the compound controllers are derived by integrating with the nominal controller for open-loop nonlinear system and FL based controller. Also, comparisons and simulation results are presented to illustrate the effectiveness of the control strategy.     

钢铁行业烟气多污染物协同控制技术应用实践

本研究分析了钢铁企业焦化和烧结两个重点工序中烟气污染物排放现状和钢铁行业当前的环保政策。对焦化及烧结烟气污染物的排放特征进行了分析，并通过对比燃煤电厂烟气特点，提出可以综合电厂烟气治理模式和自身特点改进的技术路线。结合某大型国有钢铁企业的脱硫脱硝装备对其环保现状进行了分析。针对焦化和烧结工序的典型污染物硫、硝、尘现有的源头减排、过程控制及末端处理技术，分析其优缺点。进而提出了3条可实现烟气污染物超低排放的技术路线，即半干法脱硫耦合选择性催化还原脱硝、半干法/湿法耦合臭氧氧化脱硝、活性焦脱硫脱硝一体化技术，重点介绍了这些技术在某大型钢铁企业的应用实践及应用效果。并基于全过程耦合技术，分别在焦化和烧结工序中提出了多污染物协同去除技术及应用，即焦炉低氮燃烧技术耦合末端活性焦多污染物协同控制技术、烧结烟气循环技术耦合末端活性焦多污染物协同控制技术。最后结合几种技术路线的应用实践，对未来钢铁产业的烧结及焦化工序超低排放技术的选择提出合理化建议。     

某高校既有建筑室内人员相关VOCs目标污染物的实测分析

为研究高校既有建筑室内人群散发对室内VOCs的影响，对高校不同人群样本的教室及会议室两类典型人群密集房间，共82个人群样本对象进行了VOCs采样分析，得到不同实际场景下的人员相关的VOCs浓度水平，并对其潜在的影响因素进行分析。结果表明，共确认了29种与室内人员相关的高检出率且较高浓度值的物质，包括芳香族化合物9种，烷烯烃类9种，酮类和醛类8种，醇酯类以及卤化物3种，并得到主要VOCs物质的浓度水平和I/O比。对影响因素的统计分析表明，室内人员密度、季节和房间类型对不同VOCs物质存在显著性影响，其中季节性因素对目标VOCs污染物影响最为广泛，其次是房间类型与室内人员密度。该研究可为进一步了解人员密集室内VOCs污染现状及控制策略提供一定的科学参考。     

Narrow-band emitters in LED backlights for liquid-crystal displays

Over the last decade, narrow-band emitters have been recognized as key enablers for light emitting diodes (LEDs) backlights in liquid-crystal displays (LCDs) by competing with other display technologies. Today, efforts have been devoted to the exploration of narrow-band green/red luminescent materials with high quantum efficiency and excellent stability to optimize the performance of LED backlights. This review first presents an overview of the significant progress made in the development of narrow-band emitters used in LED backlights for LCDs with the emphasis on the versatile materials databases from doped phosphors to luminescent II–VI, III-V semiconductor quantum dots, and the recent halide perovskites nanocrystals and bulk metal halides. Subsequently, the correlation of structure-luminescence properties, and the device performance optimization of these emitters have been analyzed. The focus is placed on summarizing and comparing the remarkable examples of outdated and new narrow-band luminescent materials as potential candidates in LED backlights. Finally, the outlooks and challenges in discovering new narrow-band emitters have been proposed.     

微腔与腔量子电动力学研究进展

光学微腔中原子之自发辐射与自由空间中原子的自发辐射有着重要的不同。微腔能够控制腔内原子的自发辐射，使自发辐射得到抑制或增强，并有可能使自发辐射成为一个可逆过程。由此发展起来的腔量子电动力学能够阐述腔场与原子的相互作用。本文简要介绍了这一研究领域的背景和进展，同时介绍了微腔的重要应用一无阈值激光器。     

利用静电学和测量数据对碳纳米管膜场致发射规律的定量分析

碳纳米管膜的场致发射电流密度仅由它表面的宏观电场决定，无论其表面形状是平的还是半球状的。对于理想的平行板电极系统，其表面电场强度均匀（UId），发射电流密度、总电流与发射面积成正比：对于半球一平面电极系统半球形的阴极存在一个宏观场增强因子ks，一个与两极距离和球半径之比（d/r）相关的函数，其表面的平均场强为ks U/d。对于d/r=0，ks=1，d≥r的情况，ks接近于常数。对于10〈d／r〈100的情况，存在一个经验的表达式：ks=1＋0．15d/s=0．005（d／r）^2。在引入ks后，不同作者给出的平面电极系统和半球一平面电极系统碳纳米管膜的场致发射电流I与宏观表面电场强度E的关系都可以近似用-经验公式描述：I=a（E-Eo）^b，a，b为常数。该经验公式可为稳定生产的CNT膜片应用产品设计提供方便。     

水下航行体专用光纤的特性

着重论述水下航行体线控专用光纤的特殊性及其应用特点．并对其发展作了展望。     

混合动力电动汽车用电机及驱动控制器的电磁兼容设计

电机及驱动控制器作为电动汽车的关键部件,其电磁兼容设计对于保证电动汽车的可靠运行非常重要.介绍了国家十五项目中某混合动力轿车用电机及控制器系统的电磁兼容措施,分别从控制电路、信号电缆、功率电路及屏蔽机箱等工程角度进行了分析和设计.该系统的电磁兼容性符合GB/T17619-1998的要求,且已应用于实际混合动力电动汽车,运行情况良好.     

流量比对等离子体基团分布和薄膜结构的影响

使用光强标定的发射光谱(AOES)测量了CHF3／C6H6混合气体的微波电子回旋共振(ECR)放电等离子体中基团的分布状态。实验发现随着CHF3流量的增加，成膜基团CF、CF2、CH等的相对密度增大，而刻蚀基团F的密度也会增加，从而使得a—C：F薄膜的沉积速率降低。同时红外吸收谱(IR)分析表明，在高CHF3流量下沉积的a—C：F薄膜中含有更高的C—F键成分。可见在a—C：F薄膜的制备中CHF3／(CHF3 C6H6)流量比是重要的控制参量。