动态波前相位的高分辨率测量

动态波前相位信息测量是大气光学，气动光学和激光技术等领域的重要实验手段。提出了一种具有高的时间和空间分辨率以及长的测量持续时间的动态波前相位测量方法。应用Ｈａｒｔｍａｎｎ－Ｓｈａｃｋ波前传感器获得高空间分辨率的相位信息，采用高帧频ＣＣＤ摄象机获得高时间分辨率图象数据。     

朗江电站水库洪水调度探讨

文章根据朗江水库工程实际情况,介绍了水库洪水成因及特性,通过洪水设计、调洪演算计算分析,指出了闸门操作程序,对"以峰控制"的中、小型水库的洪水调度具有一定的参考价值。     

化学镀在微道沟填充技术中的应用

归纳了在不同化学镀体系中利用单组分添加剂和双组分添加剂来实现超级化学镀填充技术的研究进展.阐述了聚二硫二丙基磺酸钠、N,N?二甲基硫代氨基甲酰基丙烷磺酸钠、聚乙二醇等添加剂对微孔或微道沟填充的作用机制,为今后实现更窄的微孔和微道沟的完美填充提供方法和策略.     

Ultra-Stretchable Monofilament Flexible Sensor with Low Hysteresis and Linearity based on MWCNTs/Ecoflex Composite Materials

Wearable human–computer interaction equipment is a common technology, which can improve the comfort, convenience, and safety of the human body, and also can monitor human health. The flexible and wearable tensile sensor can be conveniently installed on clothes or directly connected to the body. This provides a convenient, timely, and portable solution for the detection of human motion. Therefore, wearable electronic equipment is gaining more attention. In this paper, a highly stretchable, flexible, and sensitive strain sensor which is based on multi-walled carbon nanotubes/Ecoflex nanocomposites is reported. A monofilament tensile sensor obtains good linearity (10.77%), low hysteresis (1.63%), good stability (6000 cycles under 100% strain), and ultra-high strain range (ε = 1300%). This ultra-stretchable sensor has potential applications in human motion monitoring, medical rehabilitation, health monitoring, human–computer interaction, and soft robots.     

改进Mask R-CNN在航空影像目标检测的研究应用

针对通用目标检测算法在检测航空影像目标所表现的性能缺陷,提出一种改进Mask R-CNN算法用于航空影像的目标检测。该算法增加图像融合网络,将可见光图像与红外图像进行融合,消除目标被阴影遮蔽对检测造成的影响;同时改进了特征金字塔结构,使特征提取过程中的高层语义特征和低层定位信息得到充分融合,各尺度目标的检测精度得到提升;为解决小目标检测精度低和定位难度高的问题,该算法采用新型区域建议网络SD-RPN,在不同深度的卷积层设置合理大小的滑动窗口,用以检测不同尺度类型目标,使建议区域更加精准。实验结果表明,相比较主流检测算法,该算法在VEDAI数据集上表现出色,检测精度提升较大,尤其是小目标检测的精度提升显著。     

圆锥裁剪BLOB的视频目标检测方法

真实场景的视频目标检测需要消除阴影、反射和鬼影等噪声的影响,以检测出运动目标和静止目标.为了实现系统性的视频目标检测,提出一种自适应圆锥裁剪联通块(TC-BLOB)榆测方法.基于BLOB知识,将3D颜色空间变换为"夹角-模差"2D空间后,定义一套圆锥裁剪规则划分出阴影BLOB和反射BLOB;再以一种持久化记忆PM方法判别出鬼影BLOB;最后改进双背景模型检测出静止目标和运动目标.采用不同环境视频进行实验的结果表明,文中方法足有效的,并有独立于后续跟踪的优点.     

Symmetric active/active metadata service for high availability parallel file systems

High availability data storage systems are critical for many applications as research and business become more data driven. Since metadata management is essential to system availability, multiple metadata services are used to improve the availability of distributed storage systems. Past research has focused on the active/standby model, where each active service has at least one redundant idle backup. However, interruption of service and even some loss of service state may occur during a fail-over depending on the replication technique used. In addition, the replication overhead for multiple metadata services can be very high. The research in this paper targets the symmetric active/active replication model, which uses multiple redundant service nodes running in virtual synchrony. In this model, service node failures do not cause a fail-over to a backup and there is no disruption of service or loss of service state. A fast delivery protocol is further discussed to reduce the latency of the total order broadcast needed. The prototype implementation shows that metadata service high availability can be achieved with an acceptable performance trade-off using the symmetric active/active metadata service solution.     

考虑频率约束的孤网风电渗透率极限评估

大规模具有间歇性、波动性且难以预测的风电接入孤立电网后将会给其频率稳定性带来一系列挑战,以中电投霍林河循环经济示范工程孤立电网为背景,将风电波动视为平稳随机过程并采用平均功率谱密度提取大量风电波动信息,不借助商业软件建立了考虑频率约束的风电渗透率极限评估模型。基于该模型计算了在频率稳定约束下霍林河孤网系统最大风电消纳能力,从而为电网规划提供指导。最后,对不同类型的机组频率响应能力进行分析,考虑增建一部分燃气电站提高电网的风电消纳能力。也为电网后续升级和建设提供了参考依据。