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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Li, Shuanzeng School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin Key Laboratory of complex system control theory and Application Binshui Xidao 391 Tianjin300384 China

ISBN: (纸本)9781538660720

Because the stability and accuracy of the traditional greenhouse monitoring system are not high enough, the light intensity and the grape canopy of the intelligent monitoring system are established for this phenomenon. It is based on the C02 concentration of STM32 single chip to monitor the intensity of light and C02 concentration and show it at the same time. Serial communication is used to send test results to MCGS touch screen to achieve real-time monitoring and warning of light intensity and C02 concentration in greenhouse. The result of long term test shows the precision of the light intensity detection of the system is 940lux, C02 concentration measurement accuracy 40ppm. Compared with the traditional automatic monitoring system, the system runs stably and costs less, and the accuracy meets the requirements of grape greenhouse. In conclusion, the system proposed in this paper is suitable for agriculture. © 2018 IEEE.

关键词： Greenhouses

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Rapid and highly effective bacteria-killing by polydopamine/IR780@MnO2–Ti using near-infrared light

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Progress in Natural Science:Materials International 2020年第5期30卷 677-685页

作者： Xingfu Teng Xiangmei Liu Zhenduo Cui Yufeng Zheng Da-fu Chen Zhaoyang Li Yanqin Liang Shengli Zhu Shuilin Wu Hubei Key Laboratory of Polymer Materials Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials School of Materials Science & Engineering Hubei University The Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of China School of Materials Science & Engineering Tianjin University State Key Laboratory for Turbulence and Complex System and Department of Materials Science and Engineering College of Engineering Peking University Beijing JiShuiTan Hospital Beijing Research Institute Orthopaedics & TraumatologyLab Bone Tissue Engineering

Bacterial infections are becoming a serious public health challenge because the abuse of antibiotics worldwide has caused bacterial resistance and the occurrence of superbugs. In this work, a new near-infrared(NIR) photoresponsive coating was constructed on Ti implant material, which was composed of Mn O2, IR780 photosensitizer and polydopamine(PDA). Under the irradiation of 808 nm NIR light, the component of Mn O2in the coating exhibited high photothermal performance, and IR780 could be stimulated to generate ROS as a photosensitizer. The addition of PDA not only improved the cytocompatibility of the composite coating but also strengthened the light absorption ability of the system. Under the irradiation of 808 nm NIR light for 15 min, the composite coating killed 99.94% Staphylococcus aureus and 99.89% Escherichia coli on Ti plates. This rapid and highly effective bactericidal rate was ascribed to the synergistic effects of photothermal performance and photodynamic effect of the coatings excited by NIR light. Cell culture tests showed that PDA/IR780@Mn O2–Ti had good cytocompatibility due to the excellent biocompatibility of PDA and nanostructured surface. Therefore,this surface system will be a very promising plateform to safely and effectively kill bacteria on biomedical devices and implants in a short time.

关键词： Antibacterial Photothermal Photocatalytic MnO2 Implant

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Eco-friendly and degradable red phosphorus nanoparticles for rapid microbial sterilization under visible light

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Journal of Materials Science & Technology 2021年第8期67卷 70-79页

作者： Qian Wu Xiangmei Liu Bo Li Lei Tan Yong Han Zhaoyang Li Yanqin Liang Zhenduo Cui Shengli Zhu Shuilin Wu Yufeng Zheng Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Key Laboratory of Polymer MaterialsSchool of Materials Science&EngineeringHubei UniversityWuhan 430062China State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and Engineering.Xi'an Jiaotong UniversityXi'an710049China School of Materials Science&Engineering the Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of ChinaTianjin UniversityTianjin 300072China State Key Laboratory for Turbulence and Complex System and Department of Materials Science and Engineering College of EngineeringPeking UniversityBeijing 100871China

Pathogens pose a serious challenge to environmental sanitation and a threat to public *** frequent use of chemicals for sterilization in recent years has not only caused secondary damage to the environment but also increased pathogen resistance to drugs,which further threatens public *** address this issue,the use of non-chemical antibacterial means has become a new trend for environmental *** this study,we developed red phosphorus nanoparticles(RPNPs),a safe and degradable photosensitive material with good photocatalytic and photothermal *** red phosphorus nanoparticles were prepared using a template method and *** the irradiation of simulated sunlight for 20 min,the RPNPs exhibited an efficiency of 99.98%in killing Staphylococcus aureus due to their excellent photocatalytic and photothermal *** electron microscopy and ultraviolet–visible spectroscopy revealed that the RPNPs exhibited degradability within eight *** the RPNPs and their degradation products were nontoxic to fibroblast ***,such RPNPs are expected to be used as a new type of low-cost,efficient,degradable,biocompatible,and eco-friendly photosensitive material for environmental disinfection.

关键词： Antibacterial Photocatalytic Photothermal Red phosphorus Photosensitive Nanoparticles

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Photothermal-controlled sustainable degradation of protective coating modified Mg alloy using near-infrared light

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Rare Metals 2021年第9期40卷 2538-2551页

作者： Zhi-Xin Han Xiang-Mei Liu Lei Tan Zhao-Yang Li Yu-Feng Zheng Kelvin Wai-Kwok Yeung Zhen-Duo Cui Yan-Qin Liang Sheng-Li Zhu Shui-Lin Wu Hubei Key Laboratory of Polymer Materials Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional MaterialsSchool of Materials Science&EngineeringHubei UniversityWuhan 430062China The Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of China School of Materials Science&EngineeringTianjin UniversityTianjin 300072China State Key Laboratory for Turbulence and Complex System Department of Materials Science and EngineeringCollege of EngineeringPeking UniversityBeijing 100871China Department of Orthopaedics and Traumatology Li Ka Shing Faculty of MedicineThe University of Hong KongPokfulam 999077Hong KongChina

Controlling the corrosion rate is critical for practical applications of Mg-based alloys. In this work, we constructed a protective coating of hybrid polycaprolactone(H-PCL)/indocyanine green(ICG) on AZ31 Mg alloy,whose degradation rate was controlled by 808-nm nearinfrared(NIR) light irradiation. The corrosion behaviors of H-PCL/ICG coated Mg alloys were systematically investigated by potentiodynamic polarization tests, electrochemical impedance spectroscopy(EIS) and hydrogen evolution experiments. The results disclosed that the H-PCL/ICG composite coating could effectively protect Mg alloy from corroding without NIR light irradiation. In contrast, under 808-nm NIR light irradiation, the corrosion resistance of this composite coating was decreased significantly, i.e., the corrosion current density(i_(corr))increasedfrom(8.81 ± 1.068) 9 10^(-8) to(1.22 ± 0.545) 9 10^(-6) A·cm^(-2). This is because the component of ICG in the coating was excited to produce heat locally, which triggered the glass transition temperature(T_(g)) of H-PCL in the coating, resulting in the motion of the molecular chain segment. Consequently, the electrolytes penetrated the coating and corroded the Mg substrate. In vitro biological experiment indicated that the synthesized coating exhibited good ***, these findings will provide a new strategy for designing novel photoresponsive coatings to remotely adjust the degradation rate of biodegradable metals for biomedical applications.

关键词： Magnesium Corrosion Coating Photoresponsive Surface modification

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A Z-scheme heterojunction of ZnO/CDots/C_(3)N^(4) for strengthened photoresponsive bacteria-killing and acceleration of wound healing

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Journal of Materials Science & Technology 2020年第22期54卷 1-11页

作者： Yiming Xiang Qilin Zhou Zhaoyang Li Zhenduo Cui Xiangmei Liu Yanqin Liang Shengli Zhu Yufeng Zheng Kelvin Wai Kwok Yeung Shuilin Wu Hubei Key Laboratory of Polymer Materials Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional MaterialsSchool of Materials Science&EngineeringHubei UniversityWuhan 430062China The Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of China School of Materials Science&EngineeringTianjin UniversityTianjin 300072China Department of Orthopaedics&Traumatology Li KaShing Faculty of MedicineThe University of Hong KongPokfulamHong Kong999077China State Key Laboratory for Turbulence and Complex System and Department of Materials Science and Engineering College of EngineeringPeking UniversityBeijing 100871China

The abuse of antibiotics is leading to the emergence of resistant *** this work,a drug-free composite of ZnO/CDots/g-C3N4 with Z-scheme heterojunction was developed,which was employed to kill bacteria effectively within a very short time under the irradiation of visible light due to the enhanced photocatalytic and photothermal *** this system,the CDots acted as a bridge between g-C3N4 and ZnO,effectively inhibiting the recombination of photo-generated electrons with holes and consequently enhancing the photocatalytic *** addition,CDots endowed the system with excellent photothermal *** a result,the antibacterial efficacy of ZnO/CDots/g-C3N4 composite against *** and *** reached up to 99.97%and 99.99%respectively,after 15 min of visible light irradiation,due to the synergistic action of photo-inspired radical oxygen species and *** Zn ions released from the composite promoted the growth of fibroblasts,which accelerated the wound healing process.

关键词： Heterostructure Z-scheme Antibacterial Wound healing g-C3N4

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Is the atmospheric river operating at a self-organized criticality state?

arXiv

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arXiv 2025年

作者： Wang, Shang Meng, Jun Fang, Sheng Liu, Teng Christensen, Kim Kurths, Jürgen Fan, Jingfang School of Systems Science Institute of Nonequilibrium Systems Beijing Normal University Beijing100875 China Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China Earth System Modelling School of Engineering and Design Technical University of Munich Munich85748 Germany Potsdam Institute for Climate Impact Research Potsdam14412 Germany Blackett Laboratory Centre for Complexity Science Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom Department of Physics Humboldt University Berlin10099 Germany

Atmospheric rivers (ARs) are essential components of the global hydrological cycle, with profound implications for water resources, extreme weather events, and climate dynamics. Yet, the statistical organization and underlying physical mechanisms of AR intensity and evolution remain poorly understood. Here we apply methods from statistical physics to analyze the full life cycle of ARs and identify universal signatures of self-organized criticality (SOC). We demonstrate that AR morphology exhibits nontrivial fractal geometry, while AR event sizes—quantified via integrated water vapor transport—follow robust power-law distributions, displaying finite-size scaling. These scaling behaviors persist under warming scenarios, suggesting that ARs operate near a critical state as emergent, self-regulating systems. Concurrently, we observe a systematic poleward migration and intensification of ARs, linked to thermodynamic amplification and dynamical reorganization. Our findings establish a statistical physics framework for ARs, linking critical phenomena to the spatiotemporal structure of extreme events in a warming climate. © 2025, CC BY.

关键词： Statistical mechanics

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Photothermy-strengthened photocatalytic activity of polydopamine-modified metal-organic frameworks for rapid therapy of bacteria-infected wounds

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Journal of Materials Science & Technology 2021年第3期62卷 83-95页

作者： Donglin Han Yuan Li Xiangmei Liu Kelvin Wai Kwok Yeung Yufeng Zheng Zhenduo Cui Yanqin Liang Zhaoyang Li Shengli Zhu Xianbao Wang Shuilin Wu School of Materials Science&Engineering The Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of ChinaTianjin UniversityTianjin 300072China Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional MaterialsHubei Key Laboratory of Polymer MaterialsSchool of Materials Science&EngineeringHubei UniversityWuhan 430062China Department of Orthopaedics&Traumatology Li Ka Shing Faculty of MedicineThe University of Hong KongPokfulamHong Kong 999077China State Key Laboratory for Turbulence and Complex System and Department of Materials Science and Engineering College of EngineeringPeking UniversityBeijing 100871China

Herein,a metal-organic framework(MOF)was modified using polydopamine(PDA)to develop the MOFPDA as a photoresponsive bacteria-killing agent under 660 nm light *** modification using PDA led to the production of not only more heat,but also much more~1O_(2).This is because the PDA could interact with the porphyrin ring of the MOF throughπ-πinteraction and the charge transfer between PDA and the MOFs decreases the ene rgy of the band of hybrid *** addition,greater levels of hyperthermia induced by PDA modification accelerated the charge trans fe r,which significantly strengthened the photocatalytic perfo rmance of MO ***,after modification,the light abso rbance and water dispersibility of nanoparticles were both enhanced;both are important for the improvement of photocatalytic and photothermal ***,MOF-PDA exhibited the highly effective antibacterial efficacy of 99.62%and 99.97%against Staphylococcus aureus and Escherichia coli,respectively,under 20 min 660 nm light irradiation.

关键词： Metal-organic framework Photosensitizer Antibacterial Photothermal Wound healing

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FPGA Based Design and Implementation of Improved Edge Detection Algorithm using LOG Operator

FPGA Based Design and Implementation of Improved Edge Detect...

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IEEE International Conference on Mechatronics and Automation

作者： Enzeng Dong Kaifeng Li Jigang Tong Complex System Control Theory and Application Key Laboratory Tianjin University of Technology (TJUT) Tianjin China

Detection speed and precision are key indicators of the edge detection systems. To increase the precision of edge detection and enhance its engineering practicability, an improved edge detection algorithm based on Laplace of Gaussian (LOG) operator is proposed in this paper. In this algorithm, the first order partial derivative in different direction is calculated to judge the direction of the gradient. Then, the position of zero crossing point is positioned according to the value of LOG operator in the gradient direction. Furthermore, according to the number of zero crossing points of the adjacent points in the direction of the gradient normal vector, the image is filtered and breakpoints are connected. For convenience in engineering application of digital image processing, this proposed edge detection algorithm is implemented on Field-Programmable Gate Array (FPGA) chip. The experiment results show that this proposed algorithm is easy to be implemented on hardware and has much higher accuracy in edge detection performance. Due to the parallel processing capability of FPGA chip, the designed edge detection system is suitable for real-time image processing applications.

关键词： Image edge detection Field programmable gate arrays SDRAM Real-time systems Laplace equations Convolution Cameras

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Image Segmentation Method of Crop Diseases Based on Improved Segnet Neural Network

Image Segmentation Method of Crop Diseases Based on Improved...

引用

IEEE International Conference on Mechatronics and Automation

作者： Youjun Yue Xuesong Li Hui Zhao Hongjun Wang Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In crop disease image segmentation, traditional convolutional neural networks have the problem of low image accuracy. For this reason, this paper proposes a segmentation method that combines conditional random fields with segnet networks. First, input the training set in the data set into the segnet network for training, and obtain the initial segmentation result and the network with updated parameters; secondly, the image segmented by the segnet network is sent to the conditional random field in the form of pixels and classification vectors corresponding to the pixels At the same time, construct an energy function to represent the relative relationship between pixels, and then keep training; in order to get the conditional random field in the training set, you need to adjust and optimize the image segmented by the segnet network to get it; then in the verification set, the segnet network and the weight parameters of the conditional random field model are further adjusted and optimized to obtain the final conditional random field and segnet network; finally, the final conditional random field and segnet network are applied to the crop disease image segmentation. The test results show that compared with the Otsu threshold and Grabcut segmentation methods, the segmentation accuracy P, recall rate R, and comprehensive evaluation index F of this method are all the maximum, and the average processing time of a single image is 0.86 s; compared with pspnet and deeplab methods, Under the premise that the segmentation accuracy P, the recall rate R, and the comprehensive evaluation index F are basically unchanged, the average processing time of a single image is significantly reduced. The results show that the best comprehensive effect can be achieved by segmenting crop disease images in complex environments using the method in this paper.

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Moving targets detection based on improved single Gaussian background model

Moving targets detection based on improved single Gaussian b...

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IEEE International Conference on Mechatronics and Automation

作者： Enzeng Dong Bo Han Xiao Yu Shengzhi Du Complex System Control Theory and Application Key Laboratory Tianjin University of Technology (TJUT) Tianjin China

In order to improve the detection effect of the single Gaussian background model (SGM), an improved SGM algorithm is proposed to detect moving targets in this paper, which has made three improvements on the base of SGM. Firstly, the algorithm adopts adaptive background learning rate instead of using a fixed learning rate. Secondly, we use a new update strategy of Gaussian background model, which makes the Gaussian background model has good convergence and stability. Finally, the moving targets are detected according to the principle of Gaussian distribution and the image morphology filtering. Experimental results show that the background model of improved SGM can adapt well to background changes, and the target detection integrity is higher than that of the traditional SGM.

关键词： Adaptation models Computational modeling Morphology Filtering Feature extraction Object detection Gaussian distribution

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