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3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images

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Computer Modeling in Engineering & Sciences 2019年第5期119卷 365-372页

作者： lingjie yu Guanlin Wang Chao Zhi Bugao Xu School of Textile Science and Engineering Xi’an Polytechnic UniversityXi’an710048China Department of Merchandising and Digital Retailing University of North TexasDenton TX 76201USA.

A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional(3D)network with dense microscopic open *** geometrical/morphological attributes,such as orientations,curvatures and compactness,of fibers in the network is the key to the filtration performance of the ***,most of the previous studies were based on materials’2D micro-images,which were unable to accurately measure these important 3D features of a filter’s *** this paper,we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic ***,a series of images of the fiber assembly were captured at different depth layers as the stage moved *** a fusion image was established by extracting fiber edges from each layered ***,the 3D coordinates of the fiber edges were determined using the sharpness/clarity of each edge pixel in the layered ***,the 3D structure the fiber system was reconstructed through distance transformation based on the locations of fiber edges.

关键词： 3D reconstruction sharpness evaluation fiber web

Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions

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Acta Geochimica 2019年第4期38卷 541-554页

作者： Wei Zuo Chunlai Li lingjie yu Zhoubin Zhang Rongwu Wang Xingguo Zeng yuxuan Liu Yaying Xiong Key Laboratory of Lunar and Deep Space Exploration National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Sciences University of Chinese Academy of SciencesBeijing 100049China School of Textile Science and Engineering Xi'an Polytechnic UniversityXi'an 710048China College of Textiles Donghua UniversityShanghai 200051China

This paper introduces a new method of small lunar craters’ automatic identification, using digital orthophoto map(DOM) data. The core of the approach is the fact that the lunar exploration DOM data reveal contrasting highlight and shadow characteristics of small craters under sunlight irradiation. This research effort combines image processing and mathematical modeling. Overall it proposes a new planetary data processing approach, to segment and extract the highlight and shadow regions of small craters,using the image gray frequency(IGF) statistical *** can also be applied to identify the coupling relationships between small craters’ shape and their relative features. This paper presents the highlight and shadow pair matching(HSPM) model which manages to perform highprecision automatic recognition of small lunar *** was performed using the DOM data of Chang’E-2(CE-2). The results have shown that the proposed method has a high level of successful detection rate. The proposed methodology that uses DOM data can complement the drawbacks of the digital elevation model(DEM) that has a relatively high false detection rate. A hybrid fusion model(FUM) that combines both DOM and DEM data, was carried out to simultaneously identify small, medium, and large-sized craters. It has been proven that the FUM generally shows stronger recognition ability compared to previous approaches and it can be adapted for high precision identification of craters on the whole lunar *** results meet the requirements for a reliable and accurate exploration of the Moon and the planets.

关键词： Moon Crater recognition Image processing Space exploration

A Silicon Shallow-Ridge Waveguide Integrated Superconducting Nanowire Single Photon Detector Towards Quantum Photonic Circuits

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Chinese Physics Letters 2019年第8期36卷 47-50页

作者： lingjie yu Heqing Wang Hao Li Zhen Wang Yidong Huang Lixing You Wei Zhang Beijing National Research Center for Information Science and Technology Beijing Innovation Center for Future ChipsElectronic Engineering DepartmentTsinghua UniversityBeijing100084 Beijing Academy of Quantum Information Sciences Beijing100193 State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and InformationTechnologyChinese Academy of SciencesShanghai200050 University of Chinese Academy of Sciences Beijing100049

A silicon shallow-ridge waveguide integrated superconducting nanowire single photon detector is designed and *** the bias current of 11.6μA,4% on-chip detection efficiency near 1550 nm wavelength is achieved with the dark count rate of 3 Hz and a timing jitter of 75 *** device shows the potential application in the integration of superconducting nanowire single photon detectors with a complex quantum photonic circuit.

关键词： Silicon Detector Quantum

Hybrid waveguide scheme for silicon-based quantum photonic circuits with quantum light sources

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Photonics Research 2020年第3期8卷 235-245页

作者： lingjie yu CHENZHI yuAN RENDUO QI YIDONG HUANG WEI ZHANG Beijing National Research Center for Information Science and Technology(BNRist) Beijing Innovation Center for Future ChipsElectronic Engineering DepartmentTsinghua UniversityBeijing 100084China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Frontier Science Center for Quantum Information Beijing 100084China Beijing Academy of Quantum Information Sciences Beijing 100193China

We propose a hybrid silicon waveguide scheme to avoid the impact of noise photons induced by pump lights in application scenarios of quantum photonic circuits with quantum light *** scheme is composed of strip waveguide and shallow-ridge waveguide *** utilizes the difference of biphoton spectra generated by spontaneous four-wave mixing(SFWM)in these two *** proper pumping setting and signal/idler wavelength selection,the generation of desired photon pairs is confined in the strip *** impact of noise photons generated by SFWM in the shallow-ridge waveguide can be ***,the shallowridge waveguide could be used to realize various linear operation devices for pump light and quantum state *** feasibility of this scheme is verified by theoretical analysis and a primary *** applications are proposed and analyzed,showing its great potential in silicon-based quantum photonic circuits.

关键词： waveguide pump pumping

基于ANSYS Workbench的压接修理民机液压管路振动特性分析

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航空学报 2019年第9期40卷 193-201页

作者：贾宝惠于灵杰卢翔中国民航大学航空工程学院

探究振动环境中管径为1/4in的民机液压直管的最佳压接修理尺寸。首先,建立压接修理民机液压直管与流体的有限元模型,在ANSYS Workbench中对该模型进行有限元仿真分析得到其前6阶固有频率;然后,用三综合振动试验台对压接修理民机液压直... 详细信息

探究振动环境中管径为1/4in的民机液压直管的最佳压接修理尺寸。首先,建立压接修理民机液压直管与流体的有限元模型,在ANSYS Workbench中对该模型进行有限元仿真分析得到其前6阶固有频率;然后,用三综合振动试验台对压接修理民机液压直管进行扫频振动试验,得到其前6阶固有频率,将试验结果平均值与仿真结果进行对比,结果误差较小且曲线拟合良好,验证了有限元仿真分析的合理性;最后,对压接修理民机液压管路进行受力分析,并以压制区域公差和压接长度为变量分别对压接修理民机液压直管进行固有频率、最大应力以及沿Y、Z轴方向的最大位移响应进行分析。结果表明:压制区域公差为4mm、压接长度为39mm时,管路的固有频率较大,应力及位移响应较小,此时,最大应力及位移响应集中分布于压接接头处,且与受力分析结果一致。

关键词：压接修理直管固有频率扫频振动试验压制区域公差压接长度

基于无迹卡尔曼滤波的仪表着陆系统/GBAS着陆系统/惯性导航系统组合导航融合方法

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科学技术与工程 2017年第36期17卷 236-241页

作者：于耕于泠洁沈阳航空航天大学民用航空学院沈阳110136 沈阳航空航天大学电子信息工程学院沈阳110136

针对进近着陆过程中,仪表着陆系统(ILS)会受到空域以及外界环境的影响而产生导航偏差,影响进近着陆时导航的精度;而现在正在引进GBAS着陆系统(GLS)。提出一种将ILS和GLS分别与惯性导航系统(INS)相组合,利用改进的联邦无迹卡尔曼滤波,将... 详细信息

针对进近着陆过程中,仪表着陆系统(ILS)会受到空域以及外界环境的影响而产生导航偏差,影响进近着陆时导航的精度;而现在正在引进GBAS着陆系统(GLS)。提出一种将ILS和GLS分别与惯性导航系统(INS)相组合,利用改进的联邦无迹卡尔曼滤波,将其输出的位置之差作为量测值;再根据线性最小方差准则,提出了按照最优系数加权的方法融合局部导航数据,从而得到全局最优估值。相比于传统的UKF滤波算法,能有效地降低测量噪声,减小飞机降落时与标准航道的偏角误差,从而提高进近着陆引导的水平精度。

关键词：仪表着陆系统(ILS) GLS 惯性导航系统无迹卡尔曼滤波联邦卡尔曼滤波

Formation, preservation and connectivity control of organic pores in shale

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Petroleum Exploration and Development 2021年第4期48卷 798-812页

作者： BORJIGIN Tenger LU Longfei yu lingjie ZHANG Wentao PAN Anyang SHEN Baojian WANG Ye YANG yunfeng GAO Zhiwei Oil&Gas Resources Survey China Geological SurveyBeijing 100083China Wuxi Petroleum Geology Institute Sinopec Exploration&Production Research InstituteWuxi 214126China College of Geosciences China University of Petroleum(Beijing)Beijing 102249China

In view of strong heterogeneity and complex formation and evolution of organic pores,field emission scanning electron microscopy(FESEM),Raman spectrum and fluid injection+CT/SEM imaging technology were used to study the macerals,organic pores and connectivity of organic pores in the lower Paleozoic organic-rich shale samples from Southern *** with the mechanism of hydrocarbon generation and expulsion and pore forming mechanism of organic matter-based activated carbon,the relationships between organic pore development and the organic matter type,hydrocarbon generation process,diagenesis and pore pressure were explored to reveal the controlling factors of the formation,preservation and connectivity of organic pores in shale.(1)The generation of organic pores goes on through the whole hydrocarbon generation process,and is controlled by the type,maturity and decomposition of organic matter;the different hydrocarbon generation components and differential hydrocarbon-generation evolution of kerogen and solid asphalt lead to different pore development characteristics;organic pores mainly develop in solid bitumen and hydrogen-rich kerogen.(2)The preservation of organic pores is controlled by maturity and diagenesis,including the steric hindrance effect of in-situ hydrocarbon retention,rigid mineral framework formed by recrystallization,the coupling mechanism of pore-fluid pressure and shale brittleness-ductility transition.(3)The Ro of 4.0%is the maturity threshold of organic pore extinction,the shale layers with Ro larger than 3.5%have high risk for shale gas exploration,these shale layers have low gas contents,as they were in an open state before uplift,and had high hydrocarbon expulsion efficiency and strong aromatization,thus having the"congenital deficiency"of high maturity and pore densification.(4)The pores in the same organic matter particle have good connectivity;and the effective connectivity between different organic matter pores and inorganic pores an

关键词： shale gas organic matter pore maturity hydrocarbon generation process diagenesis Ordovician Wufeng Formation Silurian Longmaxi Formation

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四川盆地页岩气富集控制因素及类型

石油与天然气地质 2016年第3期37卷 399-407页

作者：朱彤王烽俞凌杰孙润轩中国石化石油勘探开发研究院北京100083 中国石油大学(北京)地球科学学院北京102249

四川盆地页岩气具有多领域、多层系、多类型的特点。有利的沉积相、成熟度和保存条件是四川盆地页岩气富集的关键因素。海相深水陆棚优质页岩具有源、储、可压一体页岩气的富集条件，为最有利的沉积相类型。湖相碳酸盐湖坡风暴滩沉积的... 详细信息

四川盆地页岩气具有多领域、多层系、多类型的特点。有利的沉积相、成熟度和保存条件是四川盆地页岩气富集的关键因素。海相深水陆棚优质页岩具有源、储、可压一体页岩气的富集条件，为最有利的沉积相类型。湖相碳酸盐湖坡风暴滩沉积的页岩与灰岩互层组合，具有源、储、可压近配页岩气富集条件，有利于微裂缝的发育，具有较好储渗性。适中的成熟度（2％～3％）生气高峰阶段，饱和气有机孔隙最发育，页岩的储集性最好。在埋藏条件下，页岩气的赋存总体上随着埋深增加，吸附气缓慢下降，而游离气则较快增加，超压区有利于游离气保存。在此研究基础上，将四川盆地页岩气划分为3个层系5种类型。其中，下志留统盆内缘超压和盆内超高压深水陆棚厚层页岩气型最有利于页岩气富集。依据各层系有利的沉积相带，适中演化程度（镜质体反射率1．3％～3．5％），压力系数大于1．2，埋深小于4500m分布区，预测出不同层系的页岩气有利区。

关键词：成熟度保存条件沉积相勘探有利区页岩气四川盆地

A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites

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National Science Open 2024年第2期3卷 21-35页

作者： lingjie yu Chao Zhi Zhiyuan Sun Hao Guo Jianglong Chen Hanrui Dong Mengqiu Zhu Xiaonan Wang Department of Chemical Engineering Tsinghua UniversityBeijing 100084China School of Textile Science and Engineering Xi’an Polytechnic UniversityXi’an 710048China State Key Laboratory of Intelligent Textile Material and Products Xi’an Polytechnic UniversityXi’an 710048China Materials Genome Institute of Shanghai University Shanghai UniversityShanghai 201900China

Benefitting from the interlaced networking structure of carbon nanotubes(CNTs),the composites of CNTs/polydimethylsiloxane(PDMS)have found extensive applications in wearable *** hierarchical multiscale simulation frameworks exist to optimize the structure parameters,their wide applications were hindered by the high computational *** this study,a machine learning model based on the artificial neural networks(ANN)embedded graph attention network,termed as AGAT,was *** datasets collected from the micro-scale and the macro-scale simulations are utilized to train the *** ANN layer within the model framework is trained to pass the information from micro-scale to macro-scale,while the whole model is aimed to predict the electro-mechanical behavior of the CNTs/PDMS *** comparing the AGAT model with the original multiscale simulation results,the data-driven strategy is shown to be promising with high accuracy,demonstrating the potential of the machine-learning-enabled approach for the structure optimization of CNT-based composites.

关键词： multiscale simulation machine learning material property prediction CNTs/PDMS composites