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Lightweight Object Detection Networks for UAV Aerial Images Based on YOLO

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Chinese Journal of Electronics 2024年第4期33卷 997-1009页

作者： Yanshan LI Jiarong WANG Kunhua ZHANG Jiawei YI Miaomiao WEI Lirong ZHENG weixin xie ATR National Key Laboratory of Defense Technology Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University

Existing high-precision object detection algorithms for UAV(unmanned aerial vehicle) aerial images often have a large number of parameters and heavy weight, which makes it difficult to be applied to mobile *** propose three YOLO-based lightweight object detection networks for UAVs, named YOLO-L, YOLO-S, and YOLO-M, respectively. In YOLO-L, we adopt a deconvolution approach to explore suitable upsampling rules during training to improve the detection accuracy. The convolution-batch normalization-Si LU activation function(CBS)structure is replaced with Ghost CBS to reduce the number of parameters and weight, meanwhile Maxpool maximum pooling operation is proposed to replace the CBS structure to avoid generating parameters and weight. YOLO-S greatly reduces the weight of the network by directly introducing CSPGhost Neck residual structures, so that the parameters and weight are respectively decreased by about 15% at the expense of 2.4% mAP. And YOLO-M adopts the CSPGhost Neck residual structure and deconvolution to reduce parameters by 5.6% and weight by 5.7%, while m AP only by 1.8%. The results show that the three lightweight detection networks proposed in this paper have good performance in UAV aerial image object detection task.

关键词： Training YOLO Deconvolution Accuracy Object detection Autonomous aerial vehicles Feature extraction

Corrosion and in vitro cytocompatibility investigation on the designed Mg-Zn-Ag metallic glasses for biomedical application

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Journal of Magnesium and Alloys 2024年第4期12卷 1566-1580页

作者： Jian Wang Lingzhong Meng weixin xie Chen Ji Ronghua Wang Pinghu Zhang Liling Jin Liyuan Sheng Yufeng Zheng School of Mechanical Engineering Yangzhou UniversityYangzhou225127China Department of Materials Science and Engineering Seoul National UniversitySeoulSouth Korea Huizhou Port Customs Huizhou516081China Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases Institute of Translational MedicineMedical CollegeYangzhou UniversityYangzhou225009China Center for Research in Computational Thermochemistry(CRCT) Department of Chemical EngineeringEcole polytechnique de MontréalMontréalQuébecH3C 3A7Canada Shenzhen Institute Peking UniversityShenzhen 518057China PKU-HKUST ShenZhen-HongKong Institution Shenzhen518057China

In the present work,seven Mg-Zn-Ag alloys with the nominal composition of Mg_(96-x)Zn_(x)Ag_(4)(x=17,20,23,26,29,32,35 in at.%)were prepared by induction melting and single-roller *** X-ray diffraction(XRD)analyses indicate the metallic glasses with three composition of Mg_(73)Zn_(23)Ag_(4),Mg_(70)Zn_(26)Ag_(4),and Mg_(67)Zn_(29)Ag_(4)were obtained *** differential scanning calorimetry(DSC)measurement was used to obtain the characteristic temperature of Mg-Zn-Ag metallic glasses for the glass-forming ability *** maximum glass transition temperature(Trg)was found to be 0.525 with a composition close to Mg_(67)Zn_(29)Ag_(4),which results in the best glass-forming ***,the immersion test in simulated body fluid(SBF)demonstrate the relative homogeneous corrosion behavior of the Mg-Zn-Ag metallic *** corrosion rate of Mg-Zn-Ag metallic glasses in SBF solution decreases with the increase of Zn *** sample Mg_(67)Zn_(29)Ag_(4)has the lowest corrosion rate of 0.19mm/yr,which could meet the clinical application requirement *** in vitro cell experiments show that the Madin-Darby canine kidney(MDCK)cells cultured in sample Mg_(67)Zn_(29)Ag_(4)and its extraction medium have higher ***,the Mg-Zn-Ag metallic glasses exhibit obvious inhibitory effect on human rhabdomyosarcoma(RD)tumor *** present investigations on the glass-forming ability,corrosion behavior,cytocompatibility and tumor inhibition function of the Mg-Zn-Ag based metallic glass could reveal their biomedical application possibility.

关键词： Metallic glasses Mg-Zn-Ag Corrosion behavior In vitro cytocompatibility

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多元治理理论下社区教育助推社会治理研究——基于嵌入式学习点建设的实践

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中国成人教育 2024年第4期 41-49页

作者：谢维新汪梦上海市长宁区业余大学(上海开放大学航空运输学院) 上海200336

一直以来,社区教育发挥着提升公民素养、促进社会发展等重要的社会治理功能。在社会治理逐步转向网格化管理、精细化服务的背景趋势下,上海的“15分钟社区生活圈”建设描绘了社会治理的新图景,其中“宜学”的目标场景呼唤社区教育的参... 详细信息

一直以来,社区教育发挥着提升公民素养、促进社会发展等重要的社会治理功能。在社会治理逐步转向网格化管理、精细化服务的背景趋势下,上海的“15分钟社区生活圈”建设描绘了社会治理的新图景,其中“宜学”的目标场景呼唤社区教育的参与。在社区教育资源存量不足的当下,社区教育网络建设逐渐衍生出嵌入式学习点这类新的建设范式,并呈现出社区教育资源与社区原有点位相互融合、互为需求的特点。文章基于上海嵌入式学习点的建设实践,运用多元治理理论,来思考社区教育助推社会治理问题。

关键词：社会治理多元治理嵌入式学习点社区教育

Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model

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Chinese Journal of Electronics 2022年第2期31卷 227-239页

作者： WANG Xiaoli xie weixin LI Liangqun Department of Electronics and Information Guangdong Polytechnic Normal University Automatic Target Recognition (ATR) Key Laboratory Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University

Aiming at the problem that the existing labeled multi-Bernoulli(LMB) method has a single and fixed model set, an LMB maneuvering target tracking algorithm via Takagi-Sugeno-Kang(TSK) iterative regression multiple model is proposed. In the TSK iterative regression modeling, the feature information of the targets is analyzed and represented by multiple semantic fuzzy sets. Then the state is expanded to introduce model information, thereby the adaptive multi-model idea is incorporated into the framework of the LMB method to solve the uncertain maneuverability of moving targets. Finally,the simulation results show that the proposed algorithm can effectively achieve maneuvering target tracking in the nonlinear system.

关键词： Takagi-Sugeno-Kang Iterative regression model Labeled multi-bernoulli Maneuvering target tracking

Geometric deep learning: progress, applications and challenges

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Science China(Information Sciences) 2022年第2期65卷 238-240页

作者： Wenming CAO Canta ZHENG Zhiyue YAN weixin xie College of Electronics and Information Engineering Shenzhen University

Deep learning technology,like convolutional neural networks,has been widely used in machine learning applications such as image detection and classification,speech processing,natural language processing and cross-modal retrieval[1].Although deep learning technology has achieved great success in various fields,it has been unable to match non-Euclidean data *** this context,

关键词： Geometric deep learning manifold deep learning CNN Graph convolutional neural networks high-dimensional information

A Low Complexity Distributed Multitarget Detection and Tracking Algorithm

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Chinese Journal of Electronics 2023年第3期32卷 429-437页

作者： FAN Jiande xie weixin LIU Zongxiang ATR Key Laboratory Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University

In this paper, we propose a low complexity distributed approach to address the multitarget detection/tracking problem in the presence of noisy and missing data. The proposed approach consists of two components: a distributed flooding scheme for measurements exchanging among sensors and a sampling-based clustering approach for target detection/tracking from the aggregated measurements. The main advantage of the proposed approach over the prevailing Markov-Bayes-based distributed filters is that it does not require any priori information and all the information required is the measurement set from multiple sensors. A comparison of the proposed approach with the available distributed clustering approaches and the cutting edge distributed multiBernoulli filters that are modeled with appropriate parameters confirms the effectiveness and the reliability of the proposed approach.

关键词： Image edge detection Clustering algorithms Distributed databases Filtering algorithms Information filters Sensors Complexity theory

Action Status Based Novel Relative Feature Representations for Interaction Recognition

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Chinese Journal of Electronics 2022年第1期31卷 168-180页

作者： LI Yanshan GUO Tianyu LIU Xing LUO Wenhan xie weixin ATR National Key Laboratory of Defense Technology Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Tencent

Skeleton-based action recognition has always been an important research topic in computer vision. Most of the researchers in this field currently pay more attention to actions performed by a single person while there is very little work dedicated to the identification of interactions between two people. However, the practical application of interaction recognition is actually more critical in our society considering that actions are often performed by multiple people. How to design an effective scheme to learn discriminative spatial and temporal representations for skeleton-based interaction recognition is still a challenging problem. Focusing on the characteristics of skeleton data for interactions, we first define the moving distance to distinguish the action status of the participants. Then some view-invariant relative features are proposed to fully represent the spatial and temporal relationship of the skeleton sequence. Further, a new coding method is proposed to obtain the novel relative feature representations. Finally, we design a three-stream CNN model to learn deep features for interaction recognition. We evaluate our method on SBU dataset, NTU RGB+D 60 dataset and NTU RGB+D 120 dataset. The experimental results also verify that our method is effective and exhibits great robustness compared with current state-of-the-art methods.

关键词： Skeleton Task analysis Deep learning Three-dimensional displays Robustness Recurrent neural networks Feature extraction

Track-Oriented Marginal Poisson Multi-Bernoulli Mixture Filter for Extended Target Tracking

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Chinese Journal of Electronics 2023年第5期32卷 1106-1119页

作者： DU Haocui xie weixin LIU Zongxiang LI Liangqun ATR Key Laboratory Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University

In this paper, we derive and propose a track-oriented marginal Poisson multi-Bernoulli mixture(TO-MPMBM) filter to address the problem that the standard random finite set filters cannot build continuous trajectories for multiple extended targets. First, the Poisson point process model and the multi-Bernoulli mixture(MBM) model are used to establish the set of birth trajectories and the set of existing trajectories, ***, the proposed filter recursively propagates the marginal association distributions and the Poisson multiBernoulli mixture(PMBM) density over the set of alive trajectories. Finally, after pruning and merging process,the trajectories with existence probability greater than the given threshold are extracted as the estimated target trajectories. A comparison of the proposed filter with the existing trajectory filters in two classical scenarios confirms the validity and reliability of the TO-MPMBM filter.

关键词： Target tracking Uncertainty Monte Carlo methods Trajectory tracking Filtering Merging Filtering algorithms

One-step synthesis of triazine-based covalent organic frameworks at room temperature for efficient photodegradation of bisphenol A under visible light irradiation

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Frontiers of Materials Science 2023年第4期17卷 159-169页

作者： Pin Chen Siyuan Di weixin xie Zihan Li Shukui Zhu State Key Laboratory of Biogeology and Environmental Geology China University of GeosciencesWuhan 430074China Huizhou Port Customs Huizhou 516080China

Herein,a novel visible-light-responsive photocatalyst with high efficiency was firstly synthesized at room *** mild synthetic method resulted in a uniform spherical triazine-based covalent organic framework(TrCOF2)with ultra-high specific surface area as well as chemical *** to the synergistic effect between the self-assembled uniform spherical structure and the abundant triazine-based structure,photoelectron–hole pairs were efficiently separated and migrated on the *** this basis,TrCOF2 was successfully applied to efficiently degrade bisphenol A(BPA).More than 98%of BPA was deraded after 60 min of visible light treatment,where the active specie of•O_(2)^(−)played a vital role during the degradation of *** holes of TrCOF2 could produce O_(2)by direct reaction with water or hydroxide ***,photoelectrons can be captured by O_(2)to generate•O_(2)^(−).Moreover,density functional theory(DFT)calculations proved the outstanding ability of the exciting electronic ***,a reasonable photocatalytic mechanism for TrCOF2 catalysts was *** research can provide a facile strategy for the synthesis of TrCOFs catalysts at room temperature,which unfolds broad application prospects in the environmental field.

关键词： photocatalysis triazine-based covalent organic framework visible light pollutant degradation catalytic mechanism