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2021 3rd International Conference on Robotics, Intelligent Control and Artificial Intelligence, ICRICA 2021

作者： Li, Xiang Xu, Gang Zhang, Xingyu Yu, Ze Zhu, Zhimin Anhui Key Laboratory of Detection Technology and Energy Saving Devices Anhui Polytechnic University Anhui China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Anhui China Jiangnan University Wuxi China

Loop closure detection is an indispensable part of the SLAM system, which can reduce the cumulative error of mobile robots in positioning and mapping. This paper proposes a supervised learning method, which combines the Siamese network and the VGG16 network in deep learning to handle loop closure detection. The Siamese network method and the traditional method are contrasted in the New College and City Centre data sets to prove the method's usefulness in this research. The experiment's findings reveal that the method of this paper ensures precision and recall rate while reducing the time necessary to assess similarities compared to the traditional method. It has a better chance of achieving real-time SLAM. © Published under licence by IOP Publishing Ltd.

关键词： Deep learning

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SEMG Signal Denoising Based on Variational Mode Decomposition and Wavelet Thresholding 5

SEMG Signal Denoising Based on Variational Mode Decompositio...

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5th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2023

作者： Zhang, Chen Zhou, Zijian Zhou, Shuren School of Physical Education Northeast Normal University Jilin China College of Instrumentation and Electrical Engineering Jilin University Jilin China School of Optoelectronic Science and Technology State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Sichuan China

ISBN: (纸本)9798350336030

The denoising of sEMG signals has always been a topic of exploration in the academic field. In this study, Variational Mode Decomposition (VMD) is combined with wavelet threshold denoising (WT) to create the VMD-WT method. The sEMG signals from the NinaPro database, which have minimal noise, are used as clean signals. The signal-to-noise ratio (SNR), root mean square error (RMSE), and coefficient of determination (R2) are utilized as evaluation metrics for denoising performance. The VMD-WT method is compared with traditional FIR filters, wavelet threshold (WT), empirical mode decomposition (EMD), and EMD-WT method. The results demonstrate that VMD-WT effectively achieves denoising of sEMG signals, and the performance of the VMD-WT method is superior in terms of the three evaluation metrics (SNR, RMSE, and R2). VMD-WT can be considered an effective method for denoising sEMG signals. © 2023 IEEE.

关键词： Variational mode decomposition

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Robust boron nanoplatform provokes potent tumoricidal activities via inhibiting heat shock protein

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Asian Journal of Pharmaceutical Sciences 2022年第5期17卷 728-740页

作者： Yuying Zhao Ning Liu Piaoxue Liu Taojian Fan Rui Ma Huijie Hong Xiaojia Chen Zhongjian Xie Han Zhang Qi Wang Tongkai Chen Science and Technology Innovation Center Guangzhou University of Chinese MedicineGuangzhou 510405China Institute of Microscale Optoelectronics Collaborative Innovation Centre for Optoelectronic Science&TechnologyKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen Key Laboratory of Micro-Nano Photonic Information TechnologyGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)Shenzhen UniversityShenzhen 518060China College of Health Science and Environmental Engineering School of Shenzhen Technology UniversityShenzhen 518118China State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao 999078China Institute of Pediatrics Shenzhen Children’s HospitalShenzhen 518038China Shenzhen International Institute for Biomedical Research Shenzhen 518116China

Near-infrared(NIR)-light-triggered photothermal therapy(PTT)is a promising treatment for breast ***,its therapeutic efficiency is often compromised due to the heatinduced up-regulation of heat shock proteins,which confer photothermal *** solve this urgent problem,PEGylated two-dimensional boron nanosheets(B-PEG)-which allow both multimodal imaging and photothermal conversion-were loaded with gambogic acid(GA),which can inhibit heat shock protein 90(Hsp90).Experimental findings indicated that this combination of B-PEG and GA could serve as an integrated drug delivery system for cancer diagnosis and *** could be used to administer mild PTT as well as chemotherapy for breast cancer,provide improved anti-tumor effects,and reduce the toxicity of PTT,all while inhibiting breast cancer *** drug delivery system could offer a novel tool for administering chemotherapy combined with PTT while avoiding the adverse effects of traditional PTT.

关键词： Mild photothermal therapy Chemotherapy Boron nanosheets Heat shock proteins Breast cancer

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Enhancement of the resolution for low-quality fluorescence microscopy image by novel computational method 6

Enhancement of the resolution for low-quality fluorescence m...

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6th Conference on Frontiers in Optical Imaging and technology: Applications of Imaging Technologies

作者： Wang, Jianhang Zhu, Yunqi Zhang, Heng Yang, Haixu Jin, Luhong Xu, Yingke Department of Biomedical Engineering MOE Key Laboratory of Biomedical Engineering State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal Zhejiang University Hangzhou310027 China Innovation Center for Smart Medical Technologies and Devices Binjiang Institute of Zhejiang University Hangzhou310053 China Department of Endocrinology Children’s Hospital of Zhejiang University School of Medicine National Clinical Research Center for Children’s Health Hangzhou310051 China

ISBN: (数字)9781510679757

ISBN: (纸本)9781510679740

The application of computational methods for enhancement the resolution of fluorescence microscopy images beyond the diffraction limit has emerged in recent years. Among them, super-resolution radial fluctuations (SRRF) and mean-shift super-resolution (MSSR) are two widely used representatives. However, these two methods are often unsatisfactory when dealing with low-quality fluorescence microscopy images, which are prone to artifacts as well as structure discontinuities. Here, we propose a effective computational method named morphological filtering and polynomial fitting (MFPF). MFPF equips excellent denoising and light-field balancing capabilities, which are beneficial for subsequent resolution enhancement. Our results validated on public BioSR dataset show that MFPF not only improves the quality of subcellular structure images such as microtubules and endoplasmic reticulum, but also attenuates the artifacts and discontinuities generated by SRRF radiality map analysis and single-frame MSSR reconstructions while maintaining the comparable resolution. Furthermore, it permits processing of low-quality fluorescence microscopy images, and would have vast applications in long-term super-resolution imaging of live cells with moderate image quality. © 2024 SPIE.

关键词： Image enhancement

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Data augmented multi-loss hybrid learning for cross-modality person re-identification

Data augmented multi-loss hybrid learning for cross-modality...

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2022 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2022

作者： Yan, Tao Wang, Fengsui Xu, Yue Qian, Yaping School of Electrical Engineering Anhui Polytechnic University Wuhu China Anhui Key Laboratory of Detection Technology and Energy Saving Devices Wuhu China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu China

ISBN: (纸本)9781510660915

The main challenges are the intra-class differences of person images and the cross-modal differences between visible and infrared images for cross-modal person re-identification. How to reduce the cross-modal differences becomes the key to cross-modal person re-identification. In this paper, we propose a hybrid learning strategy using Cross-Entropy loss and weighted squared triplet loss as identity (ID) loss to solve the intra-modal and inter-modal person identity classification problem, while supervising the network to extract more effective modal shared features to form specific feature descriptors. Besides, for cross-modal person image attributes, a data augmentation method of channel-swapped random erasure is used to improve the robustness of the model to color changes, simulating different degrees of image occlusion, reducing the risk of overfitting and further enriching the image diversity. Experimental results on the public dataset SYSU-MM01 demonstrate the effectiveness of the proposed method, with an average accuracy mAP of 60.08% even in the most difficult full-search single-shot mode. © 2022 SPIE. All rights reserved.

关键词： Image enhancement

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Study on the 3D point cloud semantic segmentation method of fusion semantic edge detection 3

Study on the 3D point cloud semantic segmentation method of ...

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2021 3rd International Conference on Robotics, Intelligent Control and Artificial Intelligence, ICRICA 2021

作者： Chen, Ling Xu, Gang Fu, Nana Hu, Zhifeng Zheng, Shuzhan Li, Xiang Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Anhui Polytechnic University Anhui China Jiangnan University Wuxi China Anhui Key Laboratory of Detection Technology and Energy Saving Devices Anhui Polytechnic University Anhui China

With the continuous development of deep learning, semantic segmentation, as the basis of 3D scene understanding, has also been widely used in 3D point clouds. Semantic segmentation based on the point cloud has obvious advantages due to its rich data. Aiming at the problems of unclear segmentation target and unclear edge in point cloud semantic segmentation, a 3D point cloud semantic segmentation algorithm integrating edge detection was proposed. Firstly, complete global semantic features are obtained by the mainstream 3D point cloud semantic segmentation framework. Then, semantic edge detection is used to extract edge semantic features from the point cloud. Finally, the fusion module fuses the semantic features belonging to the same object to make the segmentation target more accurate. In addition, a dual semantic loss function is used to produce semantic segmentation results with better boundaries. Experimental results show that the improved algorithm has better precision than KPConv in S3DIS and ScanNet datasets and better segmentation performance. © Published under licence by IOP Publishing Ltd.

关键词： Semantics

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Feasibility of applying the lower cut-off frequency for the density radial coverage extension in EAST reﬂectometry measurement

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Plasma Science and technology 2022年第5期24卷 112-117页

作者： Jia HUANG Xiang HAN Kaixuan YE Tao ZHANG Fei WEN Mingfu WU Kangning GENG Gongshun LI Fubin ZHONG Yukai LIU Haoming XIANG Shuqi YANG Shoubiao ZHANG Xiang GAO Ge ZHUANG the EAST Team University of Science and Technology of China Hefei 230026People's Republic of China Institute of Plasma Physics Chinese Academy of SciencesHefei 230031People's Republic of China Advanced Energy Research Center Shenzhen UniversityShenzhen 518060People's Republic of China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Optoelectronic EngineeringShenzhen UniversityShenzhen 518060People's Republic of China

The extraordinary mode(X-mode)lower cut-off frequency is proposed for use in the reflectometry diagnostic on ITER for the electron density profile measurement,which is a trade-off between extreme plasma parameters and the accessible probing *** contemporary experiments,the lower cutoff frequency can be identified at the probing frequency below the electron cyclotron frequency(f_(ce)) under certain plasma *** provide here,for the first time,the experimental validation of the use of the lower cut-off frequency for the density profiles via the reflectometry measurement on *** corresponding group delay of the lower cut-off frequency evolves continuously with the upper one,revealing a reasonable radial coverage extension of reflectometry measurement toward the plasma *** is concluded that the lower cut-off frequency can be used as a supplement to the upper one in the density profile inversion process,which is of particular interest in the high magnetic field and/or density discharge to extend the radial coverage of reflectometry measurement.

关键词： X-mode reflectometry density profile EAST lower cut-off frequency

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Oxoammonium enabled secondary doping of hole transporting material PEDOT:PSS for high-performance organic solar cells

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Science China Chemistry 2020年第6期63卷 802-809页

作者： Haoran Tang Zixian Liu Zhicheng Hu Yuanying Liang Fei Huang Yong Cao State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and DevicesSouth China University of TechnologyGuangzhou 510640China

Poly(3,4-ethylenedioxythiophene):polystyrene sulfonate(PEDOT:PSS)is one of the most widely used hole transporting materials in organic solar cells(OSCs).Multiple strategies have been adopted to improve the conductivity of PEDOT:PSS,however,effective strategy that can optimize the conductivity,work function,and surface energy simultaneously to reach a better energy alignment and interface contact is ***,we demonstrate that oxoammonium salts(TEMPO^+X^-)with different counterions can act as facile and novel dopants to realize secondary doping of PEDOT:*** effective charge transfer process achieved between TEMPO^+X^-and PEDOT:PSS results in enhanced carrier density and improved conductivity of PEDOT:***,different counterions of TEMPO^+X^-can tune the work function and surface energy of PEDOT:PSS,enabling improved device *** resulting device with PM6:Y6 as the active layer shows a high power conversion efficiency(PCE)over 16%.Moreover,this doping strategy can also be applied to other conjugated polymers such as poly(3-hexylthiophene).This work provides a promising strategy to tune the properties of conjugated polymers through doping,thus effectively boosting the performance of organic solar cells.

关键词： multi-functional secondary doping PEDOT:PSS oxoammonium interface modification organic solar cells

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Noise Mitigation Based on Geometric Shaping of 32QAM for Discrete Spectrum Nonlinear Frequency Division Multiplexing Systems

Noise Mitigation Based on Geometric Shaping of 32QAM for Dis...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Xue Tang Bo Liu Jianxin Ren Yaya Mao Xiangyu Wu Xiumin Song Shuaidong Chen Rahat Ullah Institute of Optics and Electronics Nanjing University of Information Science & Technology Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection Nanjing China Beijing University of Posts and Telecommunications Beijing China School of communication and information engineering Nanjing University of Posts and Telecommunications Nanjing China

A noise mitigation scheme is proposed for nonlinear frequency division multiplexing systems. This scheme utilizes channel characteristics to design an olive shape geometry with greater ASE noise and phase noise tolera... 详细信息

ISBN: (数字)9798350379266

ISBN: (纸本)9798350379273

关键词： Phase noise Geometry Prevention and mitigation System performance Noise Frequency division multiplexing Optical noise Signal to noise ratio Photonics Testing

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Decorating Covalent Organic Frameworks with High-density Chelate Groups for Uranium Extraction

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Chemical Research in Chinese Universities 2022年第2期38卷 433-439页

作者： QIN Xudong TANG Xiaohui MA Yu XU Hong XU Qing YANG Weiting GU Cheng State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and DevicesSouth China University of TechnologyGuangzhou 510640P.R.China Key Laboratory of Advanced Materials of Tropical Island Resources Ministry of EductionSchool of Chemical Engineering and TechnologyHainan UniversityHaikou 570228P.R.China CAS Key Laboratory of Low-Carbon Conversion Science and Engineering Shanghai Advanced Research Institute(SARI)Chinese Academy of Sciences(CAS)Shanghai 201210P.R.China Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084P.R.China Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates South China University of TechnologyGuangzhou 510640P.R.China

The extraction of uranium from aqueous solution is highly desirable for sustaining the increasing demand for environmental safety and nuclear ***,we report a strategy using a two-step covalent modification for the synthesis of covalent organic frameworks(COFs)with high-density amidoxime chelate groups at *** introduction of dense amidoxime groups plays a pivotal role in uranium *** resulting COF exhibits strong affinity with the distribution coefficient of 5.2×104 mL/g and a high adsorption capacity of 319.9 mg/*** strategy could be expanded to identify and remove different contaminants by introducing special functional groups.

关键词： Two-step post-synthetic modification High-density amidoxime Uranium adsorption

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