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Correction: Cilia regeneration requires an RNA splicing factor from the ciliary base

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Cell Regeneration 2022年第1期11卷 426-426页

Following publication of the original article(xu and Ou 2022),it is reported that the supplement figure S1-S5 were missing from the article.Additional file 1:Fig.S1 contains only figure legends but no figures.

关键词： base figure figures

Hardware Design of Flight Control System and Flight Experiments of Small-Scale Unmanned Aerial Vehicle

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Hardware Design of Flight Control System and Flight Experime...

第32届中国控制与决策会议

作者： Xinfan Yin kaiming xu Huayou Liang Guichuan Zhang Xianmin Peng Qiuyun Zhang Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center School of Electronics Engineering and Computer Science Peking University Southwest University of Science and Technology

In view of the strict requirements of small-scale unmanned aerial vehicle on the performance,volume and weight of flight control system,this paper presents a hardware design of flight control system based on STM32 F103 RCT6 microcontroller.In accordance with the system function and interface characteristics,the flight control system is divided into power module,main control module,sensor module and interface drive module,which meet the technical requirements of high integration,low coupling and expansibility of the flight control system.According to the characteristics of different types of sensor units integrated in the system,we design the interface circuit of inertial sensor,barometer and geomagnetic sensor based on I2 C bus and GPS interface circuit based on UART.The flight experiments are carried out on the small-scale quadcopter platform.The results show that the flight control system designed in this paper has good practicability and high reliability,and meets the requirements of the small-scale unmanned aerial vehicle for the function and performance of the flight control system.

关键词： Unmanned aerial vehicle flight control system hardware design interface circuit flight experiment

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低空监视雷达“走-停-走”目标跟踪技术

雷达学报（中英文） 2022年第3期11卷 443-458页

作者：徐开明王佰录李溯琪邓云凯王经鹤中国科学院空天信息创新研究院北京100094 中国科学院大学电子电气与通信工程学院北京100049 重庆大学微电子与通信工程学院重庆400044

以旋翼无人机为代表的低空小目标常采用低速“走-停”策略或利用障碍物遮挡,躲避雷达追踪,对重要信息装备和战略要地进行点穴式打击或干扰。这类目标可多次消失-重返于雷达视域,称之“走-停-走”目标。若采用传统目标跟踪模型和算法处... 详细信息

以旋翼无人机为代表的低空小目标常采用低速“走-停”策略或利用障碍物遮挡,躲避雷达追踪,对重要信息装备和战略要地进行点穴式打击或干扰。这类目标可多次消失-重返于雷达视域,称之“走-停-走”目标。若采用传统目标跟踪模型和算法处理这类目标,易导致目标身份不连续、航迹碎片化。该文在随机集理论框架下,基于标签多伯努利(LMB)滤波器,研究低空监视雷达“走-停-走”目标连续跟踪问题。为描述“走-停-走”目标多次往返于雷达视域的演化特性,首次引入第3类出生目标模型,即重生(RB)过程模型。首先,利用目标重返雷达视域前-后目标状态的空间位置和动力学参数关系,提出一种基于空域相关(SC)的RB过程;然后,基于SC-RB过程,在贝叶斯滤波框架下,设计了SC-RB-LMB滤波器算法,可实现多“走-停-走”目标连续稳健跟踪,维持航迹标签的连续性;最后,在典型低空监视场景下,通过仿真和实测数据验证了提出模型和算法的有效性和性能优势。

关键词：低空监视雷达 “走-停-走”目标跟踪随机集理论重生过程模型标签多伯努利滤波器

Magmatism, Deep Processes and Gold Deposits in Eastern Hebei, China

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Journal of Earth Science 1999年第1期18卷 71-75页

作者： Zhao Hailing Deng Jinfu Li kaiming xu Liquan Department of Geology and Mineral Resources, China University of Geosciences, Beijing 100083

The eastern Hebei Province of China is one of the major concentrating areas of gold mineralization in eastern China, which is an important part of the circum Pacific magmatic tectonic metallogenic belt. There are three types of gold deposits in terms of the characteristics of host rocks. Jinchangyu type gold deposit is situated in the Archean metamorphic basement. Yuerya type gold deposit occurs within the Yanshanian granite. Lengkou (or Wanzhuang ) type gold deposit is located within the covering strata of the Mesoproterozoic dolomitite. These 3 types of gold deposits are very similar in many respects. These deposits formed at Mesozoic and their spatial distribution is closely related to Yanshanian granite. The mineralization characteristics of these gold deposits are very similar. The characteristics of sulfur isotopic and lead isotopic compositions show that the gold deposits in this area are derived from the mantle and deep crust, and are related to Mesozoic magmatism. The gold deposits in this area are believed to be the products of crust mantle exchange and resulted from multistage gold mineralization. Finally a mineralization model of gold deposit in eastern Hebei of China is proposed.

关键词： deep processes gold deposit Yanshanian granite mineralization model eastern Hebei of China.

A column-shared histogramming TDC with pixel-to-pixel coincidence detection and compact analog counters for Flash LiDAR sensor

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Science China(Information Sciences) 2024年

作者： Haoran WU kaiming NIE Jiangtao xu Qinglong LIN Yingying JIAO 1.School of Microelectronics, Tianjin University 2.Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology

In recent years, Flash LiDAR sensors based on direct timeof-flight(DToF) have been playing an increasingly important role in various 3D imaging fields. In order to perform a histogram on the chip to reduce the data rate, it is inevitable to use a large-size histogramming time-to-digital converter(hT DC) in a Flash LiDAR sensor. However, a large-size hT DC limits the spatial resolution of the sensor.

关键词：

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基于线状图形相似性的道路数据变化检测

武汉大学学报（信息科学版） 2008年第4期33卷 367-370页

作者：唐炉亮杨必胜徐开明武汉大学测绘遥感信息工程国家重点实验室武汉市430079 武汉大学交通研究中心武汉市430079 国家测绘局黑龙江基础地理信息中心哈尔滨市150086

将相似性认知的距离观与特征集合观相结合,在获得相似性图形的差异距离的基础上,提出了线状地物的几何图形相似性度量模型;通过研究空间数据变化与相似度的关系,提出了基于线状地物相似度的空间数据变化检测算法,实现了基于线状图形相... 详细信息

将相似性认知的距离观与特征集合观相结合,在获得相似性图形的差异距离的基础上,提出了线状地物的几何图形相似性度量模型;通过研究空间数据变化与相似度的关系,提出了基于线状地物相似度的空间数据变化检测算法,实现了基于线状图形相似性认知的道路数据变化发现与提取。

关键词：相似性认知图形相似度道路数据变化检测

鄂尔多斯盆地延长组多油源贡献比例与分布规律:基于机器学习与可解释性研究

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地学前缘 2024年第3期31卷 530-540页

作者：苏恺明徐耀辉徐旺林张月巧白斌李阳严刚油气地球化学与环境湖北省重点实验室湖北武汉430100 长江大学资源与环境学院湖北武汉430100 中国石油勘探开发研究院北京100083

鄂尔多斯盆地延长组发育多套潜在的烃源岩,但不同烃源岩之间生物标志物特征相似,常规油源对比方法效果不佳,相关认识长期存在争议。基于这样的问题,本文提出了一种基于深度学习的油源对比方案,将人工智能方法应用于油源对比研究,所开展... 详细信息

鄂尔多斯盆地延长组发育多套潜在的烃源岩,但不同烃源岩之间生物标志物特征相似,常规油源对比方法效果不佳,相关认识长期存在争议。基于这样的问题,本文提出了一种基于深度学习的油源对比方案,将人工智能方法应用于油源对比研究,所开展的工作和认识有:(1)以延长组不同层位大量泥岩、页岩样品的42种生物标志物参数作为学习数据,构建了一种识别未知样品油源类别的深度神经网络模型,对长7泥页岩、长8—长10泥页岩的判别正确率分别达到了79.6%和83.0%,实现了延长组主要烃源岩生烃产物的有效区分;(2)通过模型分析了大量砂岩、原油样品的油源分类,统计了不同烃源岩对于延长组各个油层组原油的贡献比例,总结了它们的分布规律;(3)基于目前较为先进的置换特征重要性(PFI)算法,对所得模型进行了敏感性分析,初步揭示了延长组两类主要烃源岩的生物标志物差异。本文对于人工智能方法、技术在石油分子地球化学领域的发展具有积极的参考价值。

关键词：机器学习深度神经网络敏感性分析鄂尔多斯盆地延长组油源对比

Area-Efficient Low Power CMOS Image Sensor Readout Circuit with Fixed Pattern Noise Cancellation

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Transactions of Tianjin University 2010年第5期16卷 342-347页

作者：赵士彬姚素英聂凯明徐江涛 School of Electronic Information Engineering Tianjin University

A low cost of die area and power consumption CMOS image sensor readout circuit with fixed pattern noise(FPN) cancellation is proposed.By using only one coupling capacitor and switch in the double FPN cancelling correlative double sampling(CDS),pixel FPN is cancelled and column FPN is stored and eliminated by the sampleand-hold operation of digitally programmable gain amplifier(DPGA).The bandwidth balance technology based on operational amplifier(op-amp) sharing is also introduced to decrease the power dissipation of traditional multi-stage switched capacitor DPGA.The circuit is designed and simulated using 1P6M 0.18 μm 1.8 V/3.3 V process.Simulation results indicate that the proposed CDS scheme can achieve an FPN of less than 1 mV.The total sampling capacitor per column is 0.9 pF and no column-wise power is dissipated.The die area and FPN value are cut by 70% and 41% respectively compared with amplifier-based CDS.The op-amp sharing gain stage can achieve a 12-bit precision and also implement an 8-bit gain controlling within a gain range of 24 dB.Its power consumption is 1.4 mW,which is reduced by 57% compared with traditional schemes.The proposed readout circuit is suitable for the application of low power cost-sensitive imaging systems.

关键词：成像系统图象传感器低力量电子电容器运作的放大器固定模式噪音带宽平衡技术 op 安培分享

基于自适应变分模态分解的组合模型风电功率预测

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电源学报 2024年第2期22卷 283-289页

作者：鹿凯石开明贾欢金勇杰王旭徐谱鑫内蒙古工业大学电力学院呼和浩特010080

风电机组出力的高波动与随机性,影响电力系统安全稳定运行与风电预测精度,针对此提出结合风电功率波动特性研究的风电功率预测方法。首先从时间与机组规模尺度分析风电功率波动特性,并指导选取合适的风电数据用于风电功率预测;然后建立... 详细信息

风电机组出力的高波动与随机性,影响电力系统安全稳定运行与风电预测精度,针对此提出结合风电功率波动特性研究的风电功率预测方法。首先从时间与机组规模尺度分析风电功率波动特性,并指导选取合适的风电数据用于风电功率预测;然后建立基于最小二乘支持向量机的风电机组短期功率预测模型,采用自适应变分模态分解实现风电数据分频,并采用改进粒子群优化最小二乘支持向量机模型中影响回归预测的模型参数。实验结果表明,预测模型自适应性较强,通过预测误差评价指标,可证明预测方法的有效性。

关键词：最小二乘支持向量机风电功率预测自适应变分模态分解改进粒子群优化分频预测