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A highoutput PDMS-MXene/gelatin triboelectric nanogenerator with the petal surface-microstructure

Nano Research 2024年第5期17卷 4151-4162页

作者： Zekun Wang Congcong Hao Mingzhe Cai Juan Cui Yongqiu Zheng Chenyang Xue Key Laboratory of Instrumentation Science&Dynamic Measurement Ministry of Education North University of ChinaTaiyuan 030051China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 611731China

Triboelectric nanogenerator(TENG)has a promising future in the field of energy harvesting and self-powered sensing due to their simplicity in structure,low cost,and efficient energy harvesting from the surrounding *** output electrical performance of TENG can be improved by doping the friction material with functional materials and modifying the surface of the friction ***,the current method of adding functional materials to friction materials is costly and wasteful,and the method of modifying the surface structure of friction materials is cumbersome and not easy to *** this work,we present a polydimethylsiloxane(PDMS)-MXene/gelatin triboelectric nanogenerator(PMMG-TENG)based on petal surface-microstructures,which has the advantages of low cost,simple preparation,high output performance,and ecological *** doping 0.03 wt.%of MXene in PDMS,the output electrical performance of TENG can be significantly improved,with an output current increase of up to 139.7%.Four different petals are used as natural molds to prepare *** results show that PMMG-TENG with peony petal surface microstructure has the best electrical performance,and the output current increase of up to 228.17%compared with PMMG-TENG without *** PMMG-TENG with peony petal surface-microstructure exhibits excellent electrical performance,demonstrating a maximum open-circuit voltage of 417.39 V and a maximum short-circuit current of 12.01μA at a size of 3 cm×3 cm,and a maximum power density of 170μW/cm^(2) at a load resistance of 107Ω.The PMMG-TENG’s output performance after 10,000 cycles is consistent with the initial state,highlighting excellent output *** PMMG-TENG can easily light up at least 100 light emitting diodes(LEDs).(operating voltage 3V.)Gelatin film exhibits excellent degradation performance,with complete degradation time of only 150 s in water at a constant temperature of 75℃.PMMG-TENG not only shows excellent performance in

关键词： triboelectric nanogenerator(TENG) petal surface-microstructure gelatin MXene energy harvesting

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Research on Image Point Cloud Fusion Metrological Evaluation technology 24

Research on Image Point Cloud Fusion Metrological Evaluation...

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3rd International Symposium on Control Engineering and Robotics, ISCER 2024

作者： Zhang, Yu Jiang, Yanhuan Wu, Yahui Changcheng Institute of Metrology and Measurement Science and Technology on Metrology and Calibration Laboratory Aviation Key Laboratory of Science and Technology on Dynamic Testing and Calibration Beijing100095 China

ISBN: (纸本)9798400709951

In response to the problems of missing measurement evaluation indicators and imperfect evaluation techniques in robot environment mapping, this article takes the image point cloud fusion environmental mapping module as the object of comparison. By constructing standard evaluation scenarios, two reliable evaluation indicators, sensor fusion and mapping effect, are proposed. At the same time, theoretical comprehensive analysis is combined to design algorithms to extract indicators and process data. The environmental mapping evaluation system proposed in this article achieves a comprehensive quantitative evaluation of the mapping results, providing support for the reasonable evaluation of the quality of robot environmental mapping and the superiority of environmental mapping algorithms. © 2024 ACM.

关键词： Environmental mapping evaluation system Image point cloud fusion Measurement evaluation indicators Standard evaluation scenarios

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Optimization of Sensitive Films for Pressure Sensors Based on Wet Corrosion 16

Optimization of Sensitive Films for Pressure Sensors Based o...

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16th International Conference on Signal Processing Systems, ICSPS 2024

作者： Yan, Shijin Lei, Cheng Ji, Pengfei Qiu, Haibing Tan, Qiulin Liang, Ting State Key Laboratory of Dynamic Measurement Technology North University of China Taiyuan030051 China

ISBN: (纸本)9781510689251

Given the critical role of sensitive membrane roughness in pressure sensor performance, wet etching experiments were conducted on grain-oriented silicon. The study systematically examined the effects of varying temperatures (60°C, 70°C, 80°C, 90°C) and tetramethylammonium hydroxide (TMAH) concentrations (5 wt%, 10 wt%, 15 wt%, 20 wt%, and 25 wt%) on the etching morphology and rate using the controlled-variable method. The influence of three additives, ammonium persulfate (APS), isopropanol (IPA), and Triton X-100, was investigated on the silicon surface morphology and etching rate. Notably, a high etching rate of 23.63 μm/h was obtained by adding Triton X-100 to a 25 wt% TMAH solution at 80°C, characterized by excellent wafer uniformity (variance of 0.19) and a smooth morphology with a roughness of 3.2673 nm. This method was successfully applied to the fabrication of sensitive thin films for pressure sensors. It was found to be effective in improving the sensitivity of the pressure sensors compared to 80°C 5 wt% TMAH conditions, effectively reducing the problem of lower sensitivity caused by uneven stress distribution. © 2025 SPIE.

关键词： Silicon wafers

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DBDB: de-bimodal defocus blur in joint infrared-visible imaging

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Visual Intelligence 2025年第1期3卷 1-12页

作者： Cao, Zhe Xu, Lixin Zhang, Jin Yang, Biwen Chen, Kaizheng Zhang, Ruiheng State Key Laboratory of Electromechanical Dynamic Control the School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China

Despite the recent accomplishments in joint infrared-visible imaging, the bimodal defocus blur (BDB) phenomenon received scant attention. Our analysis reveals that BDB is predominantly attributable to disparities in optical parameters between cameras, resulting in two primary challenges: incomplete single-modal information and difficulty in cross-modal information interaction. With regard to the former, the infrared modality is the primary victim, as the deblurring networks’ bias toward high-frequency results in erroneous low-frequency reconstruction (e.g., over-sharpening). In the latter case, the relative nature of the blur effect can lead to ambiguity in determining which modality’s information should be prioritized for guidance, and conflicts may arise between the clear components of the blurred image and the blurry components of the clear image. To address these issues, we propose the first de-bimodal defocus blur (DBDB) method, which consists of a low-frequency semantic hold (LSH) module with a pre-trained infrared model and a cross-modal complementary feature induction (CCFI) module driven by a max-min blur entropy loss. LSH is designed to ensure that the low-frequency information captured by the infrared modality does not contain any misleading data, while CCFI facilitates the acquisition of accurate information by means of adaptive adjustment and the loss function. The experimental results of deblurring and downstream tasks on two synthetic datasets demonstrate the superiority of our method. © The Author(s) 2025.

关键词： Defocus blur Image reconstruction Multimodal learning Pre-training model RGBT

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Magnetic Tracking System with Capability of Automatic Magnetic Moment Measurement

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Journal of Shanghai Jiaotong University (Science) 2024年 1-12页

作者： Tian, Siyu Gao, Jinyang Huang, Peng Ma, Xinyu Ma, Ziyu State Key Laboratory of Dynamic Measurement Technology North University of China Taiyuan030051 China Key Laboratory of Micro/Nano Devices and Systems of Ministry of Education North University of China Taiyuan030051 China

Magnetic tracking technologies have a promising application in detecting the real-time position and attitude of a capsule endoscope. However, most of them need to measure the magnetic moment of a permanent magnet (PM) embedded in the capsule accurately in advance, which can cause inconvenience to practical application. To solve this problem, this paper proposes a magnetic tracking system with the capability of measuring the magnetic moment of the PM automatically. The system is constructed based on a 4 × 4 magnetic sensor array, whose sensing data is analyzed to determine the magnetic moment by referring to a magnetic dipole model. With the determined magnetic moment, a method of fusing the linear calculation and Levenberg-Marquardt algorithms is proposed to determine the 3D position and 2D attitude of the PM. The experiments verified that the proposed system can achieve localization errors of 0.48 mm, 0.42 mm, and 0.83 mm and orientation errors of 0.66°, 0.64°, and 0.87° for a PM (∅10 mm × 10 mm) at vertical heights of 5 cm, 10 cm, and 15 cm from the magnetic sensor array, respectively. © Shanghai Jiao Tong University 2024.

关键词： Permanent magnets

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Research on an automatic light field refocusing method for a camera array

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Optics Express 2025年第10期33卷 20964-20980页

作者： Pan, Yihua Zhao, Yushan Li, Yuyang Liu, Bin Chen, Ping Shanxi Key Laboratory of Intelligent Detection Technology & Equipment School of Information and Communication Engineering North University of China Shanxi Taiyuan030051 China Key Laboratory of Photoelectronic Imaging Technology System of Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China State Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instruments North University of China Shanxi Taiyuan030051 China

Light field information includes the position and angle information of light in space. A camera array is one of the methods for obtaining light field information, which combines and arranges multiple cameras in space to achieve multi-angle imaging of the same target. Based on the light field information, a computational imaging method can be used to achieve refocusing technology for a camera array (also known as optical synthetic aperture imaging technology). In this technology, by setting the focusing coefficient, the light field information can be focused on different depths. This mode is called taking photos first and focusing later. However, in order to focus on a specific object surface, traditional refocusing methods require users to manually adjust the focusing coefficient multiple times, which is time-consuming and user-unfriendly. Therefore, in this paper, we propose an automatic focusing method based on the optimal focusing coefficient map (OFCM) to address the manual refocusing problem. This method transforms the refocusing problem into obtaining the optimal focus coefficient map. In the process of solving OFCM, the threshold filtering method and the neighborhood filling method are used to optimize the results and improve the robustness of the proposed method. The experimental results show that our proposed method has higher imaging quality and faster running efficiency compared to automatic refocusing methods based on disparity maps and gradient functions. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Computational Imaging

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Facile and effective synthesis strategy for terbium-doped hydroxyapatite toward photoelectric devices and flexible functional fibers

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Rare Metals 2024年第4期43卷 1713-1723页

作者： Xiao-Dong Zhang Kun Nie Zi-Yao Hu Ran-Ran Zhou Xiu-Qiang Duan Wu-Bin Dai Song-Song Nie Song-Jun Yao Luo-Xin Wang Le-Fu Mei Hua Wang Yi-Yi Yao Xiao-Xue Ma Hubei Key Laboratory for New Textile Materials and Applications and State Key Laboratory of New Textile Materials and Advanced Processing Technology School of Materials Science and EngineeringWuhan Textile UniversityWuhan430200China Key Laboratory of Testing and Tracing of Rare Earth Products for State Market Regulation Jiangxi University of Science and TechnologyGanzhou341000China Hubei Key Laboratory of Plasma Chemistry and Advanced Materials and Key Laboratory of Green Chemical Engineering Process of Ministry of Education Wuhan Institute of TechnologyWuhan430205China

As a material with good biocompatibility,hydroxyapatite(HAP)can have optical properties after doping with various rare earth *** a biocompatible fluorescent material,doped HAP could have broad applications in biological probes,drug delivery,optoelectronic materials,fluorescence anti-counterfeiting,and other *** this paper,we put forward the preparation of HAP doped with terbium(Ⅲ)ions(Tb^(3+))by hydrothermal *** controlling the Tb^(3+)doping content in reaction and the reaction time,the changes in HAP's structure,morphology,and luminescence properties under different conditions were *** the doping amount of Tb^(3+)reached an optimal value,the dipole-quadrupole would occur and the concentration would be *** control experiment showed that the optimal Tb3+content was 7.5×10^(-5)mol,which showed the best fluorescence ***,a non-luminous material,was rarely used in the field of fluorescent anti-counterfeiting and photoelectric *** proposed to prepare a luminescent aramid/polyphenylene sulfide(ACFs/PPS)fiber paper and a new light-emitting diode(LED)using the Tb-doped HAP *** composite sample exhibited an excellent stability and fluorescence performance,which also demonstrated a possibility of HAP applications in anticounterfeiting and *** introduction of Tb3+dopant HAP was done to give HAP optical properties and broaden the application range of HAP.

关键词： Hydroxyapatite Rare earth luminescence Photoelectric device Aramid Polyphenylene sulfide fiber paper Luminescent fiber

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Waterproof self-actuated flexible pressure sensor based on MWNT/PVDF

Waterproof self-actuated flexible pressure sensor based on M...

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2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024

作者： Wang, Keping Cui, Juan Bai, Shanming Li, Xin Zheng, Yongqiu Xue, Chenyang North University of China State Key Laboratory of Dynamic Measurement Technology Taiyuan030051 China

ISBN: (纸本)9798350372601

In the research of waterproof pressure sensors, most of the sensors use rigid structure and traditional battery power supply, which leads to unstable signal and poor biocompatibility, limiting the flexibility of the sensors themselves and the environmental conditions of applications. In this paper, based on the TENG principle, a waterproof self-driven flexible pressure sensor was fabricated using MWNT/PVDF electrostatically spun nanofiber membrane, flexible silver electrode and PET package. The performance of the sensor is improved in the analysis of the reference concentration of MWNT, the height of the cavity between the friction layers and the thickness of the negative friction layer, and the design and preparation of a cost-effective waterproof self-driven flexible pressure sensor is realized, which provides a new design idea for the fabrication of better flexible waterproof piezoelectric sensors. © 2024 IEEE.

关键词： Friction

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Coal rock image recognition method based on improved CLBP and receptive field theory

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Deep Underground Science and Engineering 2022年第2期1卷 165-173页

作者： Chuanmeng Sun Ruijia Xu Chong Wang Tiehua Ma Jiaxin Chen State Key Laboratory of Dynamic Testing Technology TaiyuanShanxiChina School of Electrical and Control Engineering North University of ChinaTaiyuanShanxiChina

Rapid coal-rock identification is one of the key technologies for intelligent and unmanned coal ***,the existing image recognition algorithms cannot satisfy practical needs in terms of recognition speed and *** view of the evident differences between coal and rock in visual attributes such as color,gloss and texture,the complete local binary pattern(CLBP)image feature descriptor is introduced for coal and rock image *** that the original algorithm oversimplifies local texture features by ignoring imaging information from higher-order pixels and the concave and convex areas between adjacent sampling points,this paper proposes a higher-order differential median CLBP image feature descriptor to replace the original CLBP center pixel gray with a local gray median,and replace the binary differential with a second-order ***,for the high dimensionality of CLBP descriptor histogram and feature redundancy,deep learning perceptual field theory is introduced to realize data nonlinear dimensionality reduction and deep feature *** relevant experiments conducted,the following conclusion can be drawn:(1)Compared with that of the original CLBP,the recognition accuracy of the improved CLBP algorithm is greatly improved and finally stabilized above 94.3%under strong noise interference;(2)Compared with that of the original CLBP model,the single image recognition time of the coal rock image recognition model fusing the improved CLBP and the receptive field theory is 0.0035 s,a reduction of 71.0%;compared with the improved CLBP model(without the fusion of receptive field theory),it can shorten the recognition time by 97.0%,but the accuracy rate still maintains more than 98.5%.The method offers a valuable technical reference for the fields of mineral development and deep mining.

关键词： coal-rock identification complete local binary pattern receptive field texture feature

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Designing NV Center Magnetometer Via Active Learning 24

Designing NV Center Magnetometer Via Active Learning

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Ma, Yuxing Wang, Yuchao Qin, Yue Guo, Hao Liu, Jun State Key Laboratory of Dynamic Measurement Technology Shanxi Province Key Laboratory of Quantum Sensing and Precision Measurement North University of China Taiyuan China

ISBN: (纸本)9798400710681

The sensitivity and measurement range of nitrogen-vacancy (NV) color center magnetometer are crucial for magnetic field detection as these factors directly influence the sensor’s capability to detect weak magnetic fields and its applicability across various domains. However, in practice, different diamonds exhibit different characteristics for the same parameters, and it remains an open problem to precisely design the sensitivity and measurement range required for different environments. In this study, we develop a three-stage machine learning framework to automate the design of high-precision NV center magnetometer. The four parameters of the NV center magnetometer are automatically optimized in different environments, including laser power, microwave power, NV concentration and bias magnetic field, to predict their performance and find the optimal parameter configuration. This self-learning and reverse design approach provides new possibilities for parameter design of NV center magnetometer in different environments. © 2024 Copyright held by the owner/author(s).

关键词： Magnetometers

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