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Fabrication of a Flexible Electric Skin Using a Bionic Cell and Study of Its Sensing Ability

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Journal of Bionic Engineering 2022年第1期19卷 62-72页

作者： Yani Jiang Zhi Wang Yuhang Chen Shien Lu jiachen wu Yixiang Bian Wenjia Chen College of Mechanical Engineering Yangzhou UniversityYangzhou225127JiangsuChina

Imitating the structure and function of the Pacinian corpuscle in the human body,a Bionic Cell(BC)with a liquid core was designed and made with polyvinylidene fluoride(PVDF),and an Electronic Skin(ES)sensor was successfully obtained by embedding the BCs into silicone *** passive sensing ability of the ES for surface vibration pressure was *** results showed that the ES could detect waveform,frequency,amplitude and other parameters of the surface,and it exhibited not only a high sensitivity of 0.46563 fc/Pa,but also a large pressure measurement range of 0.6 Pa–6014 Pa.A falling real object impact experiment was carried out,and the results indicated that the ES output charge was linearly related to the falling height of the object and logarithmically related to the mass of the ***,a crawling insect experiment and human pulse experiment were performed to study the perception ability of the ES to irregular *** to its special structure,simple fabrication process,and high sensitivity wide measurement range,the ES fabricated in this paper is expected to be used as robot skin with tactile perception ability in the near future.

关键词： Electronic skin(ES) Tactile sensor Bionic cell(BC) Sensitivity Pressure measurement range

Quantitative phase imaging through an ultra-thin lensless fiber endoscope

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Light(Science & Applications) 2022年第8期11卷 1843-1852页

作者： Jiawei Sun jiachen wu Song wu Ruchi Goswami Salvatore Girardo Liangcai Cao Jochen Guck Nektarios Koukourakis Juergen W.Czarske Laboratory of Measurement and Sensor System Technique(MST) TU DresdenHelmholtzstrasse 1801069DresdenGermany Competence Center for Biomedical Computational Laser Systems(BIOLAS) TU DresdenDresdenGermany State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentsTsinghua University100084BeijingChina Institute for Integrative Nanosciences IFW DresdenHelmholtzstraße 2001069DresdenGermany Max Planck Institute for the Science of Light&Max-Planck-Zentrum für Physik und Medizin 91058ErlangenGermany Cluster of Excellence Physics of Life TU DresdenDresdenGermany Institute of Applied Physics TU DresdenDresdenGermany

Quantitative phase imaging(QPI)is a label-free technique providing both morphology and quantitative biophysical information in ***,applying such a powerful technique to in vivo pathological diagnosis remains ***-core fiber bundles(MCFs)enable ultra-thin probes for in vivo imaging,but current MCF imaging techniques are limited to amplitude imaging *** demonstrate a computational lensless microendoscope that uses an ultra-thin bare MCF to perform quantitative phase imaging with microscale lateral resolution and nanoscale axial sensitivity of the optical path *** incident complex light field at the measurement side is precisely reconstructed from the far-field speckle pattern at the detection side,enabling digital refocusing in a multi-layer sample without any mechanical *** accuracy of the quantitative phase reconstruction is validated by imaging the phase target and hydrogel beads through the *** the proposed imaging modality,three-dimensional imaging of human cancer cells is achieved through the ultra-thin fiber endoscope,promising widespread clinical applications.

关键词： fiber phase thin

4K-DMDNet:diffraction model-driven network for 4K computer-generated holography

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Opto-Electronic Advances 2023年第5期6卷 17-29页

作者： Kexuan Liu jiachen wu Zehao He Liangcai Cao State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentsTsinghua UniversityBeijing 100084China

Deep learning offers a novel opportunity to achieve both high-quality and high-speed computer-generated holography(CGH).Current data-driven deep learning algorithms face the challenge that the labeled training datasets limit the training performance and *** model-driven deep learning introduces the diffraction model into the neural *** eliminates the need for the labeled training dataset and has been extensively applied to hologram ***,the existing model-driven deep learning algorithms face the problem of insufficient *** this study,we propose a model-driven neural network capable of high-fidelity 4K computer-generated hologram generation,called 4K Diffraction Model-driven Network(4K-DMDNet).The constraint of the reconstructed images in the frequency domain is *** a network structure that combines the residual method and sub-pixel convolution method is built,which effectively enhances the fitting ability of the network for inverse *** generalization of the 4K-DMDNet is demonstrated with binary,grayscale and 3D ***-quality full-color optical reconstructions of the 4K holograms have been achieved at the wavelengths of 450 nm,520 nm,and 638 nm.

关键词： computer-generated holography deep learning model-driven neural network sub-pixel convolution oversampling

Photoreduction of CO_(2) in the presence of CH_(4) over g-C_(3)N_(4) modified with TiO_(2) nanoparticles at room temperature

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Green Energy & Environment 2021年第6期6卷 938-951页

作者： Ming Chen jiachen wu Chongchong Lu Xiao Luo Yangqiang Huang Bo Jin Hongxia Gao Xiaowen Zhang Morris Argyle Zhiwu Liang Joint International Center for CO2 Capture and Storage(iCCS) Provincial Hunan Key Laboratory for Cost-effective Utilization of Fossil Fuel Aimed at Reducing Carbon-dioxide EmissionsDepartment of Chemical EngineeringCollege of Chemistry and Chemical EngineeringAdvanced Catalytic Engineering Research Center of the Ministry of EducationHunan UniversityChangsha410082China Department of Chemical and Petroleum Engineering University of WyomingLaramieWY82071USA Department of Chemical Engineering Brigham Young UniversityProvoUT84602USA

CO_(2)reduction under simulated sunlight over photocatalysts has become an attractive researcher area *** this work,carbon nitride compounds modified by TiO_(2)nanoparticles(TNPs)have been used for the photoreduction of CO_(2)in the presence of CH_(4)at room ***,a series of noble-metal-free TNP-graphitic-carbon nitride(g-C_(3)N_(4),also abbreviated CN)photocatalysts with different TNPs loadings and calcination temperatures have been synthesized by a wet-chemical *** characterization results of XRD,FTIR,SEM,TEM,BET,XPS,CO_(2)Adsorption,UV-vis,and PL demonstrate that the BET surface area and CO_(2)adsorption capacity have been improved after the ***,the g-C_(3)N_(4)has been successfully coupled with the TNPs and a heterojunction has formed at their *** characters contribute to increase the photocatalytic activity of TNPs-CN toward reducing CO_(2)in the presence of CH_(4),and its'performance is better than bare g-C_(3)N_(4),Titania(P_(25))-CN,MgO-CN,or Cu_(2)*** experiments are then carried out to investigate the sensitivity factors and optimum *** sensitivity results show that the reaction pressure makes little difference on the photocatalysis results,which verifies the photoinduced CO_(2)-CH_(4)reaction has a tiny change in gas *** addition,under the optimum conditions,the turnover frequency(TOF)of CO after 4 h reaction can reach 9.98μmol g-cat.^(-1)h^(-1),and traces of ethane and ethylene have been detected during the *** addition,surface acetate and carbonaceous deposit are found on the(20)TNPs-CN/450 surface after continuous 24 h irradiation under the optimum conditions,which resulting in the inactivation of the ***,possible reaction mechanisms have been proposed based on the results.

关键词： Noble-metal-free Photoinduced CO_(2)-CH_(4) Sensitivity factors Surface acetate Inactivation

A Text Correlation Algorithm for Stock Market News Event Extraction

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国际计算机前沿大会会议论文集 2021年第2期 55-68页

作者： jiachen wu Yue Wang School of Information Renmin University of ChinaBeijingChina School of Information Central University of Finance and EconomicsBeijingChina

To extract effective information in massive financial news,this paper proposes amethod to calculate the correlation between text and text set by extracting structured events in the stockmarket news text,and provides more detailed and interpretable ***,the structured event triplet was extracted from the text set,and the trained word vector was used to represent the event triplet as an event *** vectors were clustered,the cosine distances were calculated for the cluster centers,and the correlation between the text sets was determined by ***,the event triplets with the highest correlation between the text sets were selected to provide explanation information for the calculation *** results show that this method effectively measures the correlation between text and text set.

关键词： Text relevance Structured event Word embedding

Fault diagnosis method of rolling bearing based onthreshold denoising synchrosqueezing transform and CNN

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Journal of Southeast University(English Edition) 2020年第1期36卷 32-40页

作者： wu jiachen Hu Jianzhong Xu Yadong School of Mechanical Engineering Southeast University Nanjing 211189 China

The rolling bearing vibration signal is non-stationary and is easily disturbed by background noise,so it is difficult to accurately diagnose bearing faults.A fault diagnosis method of rolling bearing based on the time-frequency threshold denoising synchrosqueezing transform(TDSST)and convolutional neural network(CNN)is *** the traditional methods of wavelet threshold denoising and wavelet adjacent coefficient denoising are greatly affected by the estimation accuracy of noise variance,a time-frequency denoising method based on the STFT spectral correlation coefficient threshold optimization is adopted,which is combined with a synchrosqueezing *** ability of the TDSST to reduce noise and improve time-frequency resolution was verified by simulated impact fault signals of rolling ***,the CNN is utilized to diagnose the time-frequency diagrams obtained by the *** diagnostic results of the rolling bearing experimental data show that the proposed method can effectively improve the accuracy of *** the SNR of the bearing signal is larger than 0 dB,the accuracy is over 95%,even when the SNR reduces to-4 dB,the accuracy is still around 80%.Moreover,the standard deviation of multiple test results is small,which means that the method has good robustness.

关键词： threshold denoising synchrosqueezing transform convolutional neural network rolling bearing

基于压缩感知的菲涅尔孔径编码无透镜成像(特邀)

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光子学报 2022年第7期51卷 261-270页

作者：吴佳琛曹良才清华大学精密仪器系精密测试技术及仪器国家重点实验室北京100084

为了降低菲涅尔孔径编码成像的传输带宽,改善小尺寸像感器拼接成像质量,提出菲涅尔孔径编码成像的压缩感知重建算法。基于压缩感知理论框架对部分采样的编码图像重建可行性进行分析,指出压缩感知重建误差随波带片常数缩小而降低。根据... 详细信息

为了降低菲涅尔孔径编码成像的传输带宽,改善小尺寸像感器拼接成像质量,提出菲涅尔孔径编码成像的压缩感知重建算法。基于压缩感知理论框架对部分采样的编码图像重建可行性进行分析,指出压缩感知重建误差随波带片常数缩小而降低。根据重建图像中孪生像和原始像在梯度域稀疏性的差异,引入全变差正则化实现抑制孪生像的效果。建立压缩感知理论框架下图像重建目标函数,利用交替方向乘子法进行求解。结合编码图像的能量分布和采样模式的可实现性,测试了矩形采样和辐射线采样两种模式,对不同采样数据量下重建图像质量进行分析。结果表明,辐射线采样模式相比矩形采样模式具有更高的图像采样效率,且仅通过7.3%的实验测量数据就可以获得质量良好的图像,为多块小尺寸像感器拼接成像提供了理论基础,有利于拓展编码掩膜无透镜成像的应用领域。

关键词：无透镜成像压缩感知菲涅尔波带片编码掩膜图像重建

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黄柳菇多糖的抗运动性疲劳作用

美食研究 2021年第4期38卷 79-83页

作者：吴佳宸赵弘官韩国国立群山大学体育学院韩国群山市54150

为探讨黄柳菇多糖的抗疲劳作用,以不同剂量的黄柳菇多糖对小鼠灌胃30 d,测定小鼠前后体质量变化及末次力竭运动时间,同时检测血乳酸(BLA)、血尿素氮(BUN)、肝组织中肝糖原、谷胱甘肽过氧化物酶(GSH-Px)、超氧化物歧化酶(SOD)和丙二醛(M... 详细信息

为探讨黄柳菇多糖的抗疲劳作用,以不同剂量的黄柳菇多糖对小鼠灌胃30 d,测定小鼠前后体质量变化及末次力竭运动时间,同时检测血乳酸(BLA)、血尿素氮(BUN)、肝组织中肝糖原、谷胱甘肽过氧化物酶(GSH-Px)、超氧化物歧化酶(SOD)和丙二醛(MDA)的含量,并采用Western blot法检测小鼠骨骼肌组织中PGC-1α、mtTFA蛋白的表达水平。结果表明:黄柳菇多糖各剂量组能显著延长小鼠负重游泳时间,降低BLA、BUN及MDA含量,提高肝组织中肝糖原、GSH-Px、SOD水平,同时还可促进骨骼肌PGC-1α、mtTFA蛋白的表达(P<0.05)。说明黄柳菇多糖可改善小鼠力竭后氧化应激及能量代谢,具有明显的缓解体力疲劳作用,其机制可能与上调PGC-1α、mtTFA蛋白,激活PGC-1α/NRF-1/mtTFA信号通路有关。

关键词：黄柳菇多糖抗运动性疲劳作用机制 PGC-1α mtTFA

大功率激光单模光纤远距离传输的注入光纤光功率限值分析

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计算物理 2022年第2期39卷 173-178页

作者：禹化龙王石语吴嘉宸西安电子科技大学物理与光电工程学院陕西西安710071 西安电子科技大学电子工程学院陕西西安710071

对于大功率激光单模光纤远距离传输,采用传统的受激拉曼散射(SRS)阈值作为注入光纤激光功率值取值过大。本文对单模光纤远距离传输过程中泵浦光和拉曼斯托克斯光(Stokes)光功率随注入光纤激光功率的变化进行仿真与理论分析。根据光纤中... 详细信息

对于大功率激光单模光纤远距离传输,采用传统的受激拉曼散射(SRS)阈值作为注入光纤激光功率值取值过大。本文对单模光纤远距离传输过程中泵浦光和拉曼斯托克斯光(Stokes)光功率随注入光纤激光功率的变化进行仿真与理论分析。根据光纤中SRS产生的机理,提出以拉曼Stokes光在单模光纤中传输的光功率变化曲线曲率极大值点对应的注入激光功率为限值,对注入单模光纤光功率限值随着光纤长度变化进行仿真,通过曲线拟合得出注入单模光纤激光功率限值公式,并搭建实验系统进行验证。结果表明,提出的注入单模光纤激光功率限值适用于大功率激光远距离单模光纤传输。

关键词：注入光纤光功率限值受激拉曼散射阈值单模光纤激光能量光纤传输