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Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems 认领 引用
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作者 Zhichen Zhang Gen Qiu +1 位作者 Yuhua Cheng Min Wang 《Journal of Automation and Intelligence》 CSCD 2025年第3期217-226,共10页
Reliable electricity infrastructure is critical for modern society,highlighting the importance of securing the stability of fundamental power electronic systems.However,as such systems frequently involve high-current ... Reliable electricity infrastructure is critical for modern society,highlighting the importance of securing the stability of fundamental power electronic systems.However,as such systems frequently involve high-current and high-voltage conditions,there is a greater likelihood of failures.Consequently,anomaly detection of power electronic systems holds great significance,which is a task that properly-designed neural networks can well undertake,as proven in various scenarios.Transformer-like networks are promising for such application,yet with its structure initially designed for different tasks,features extracted by beginning layers are often lost,decreasing detection performance.Also,such data-driven methods typically require sufficient anomalous data for training,which could be difficult to obtain in practice.Therefore,to improve feature utilization while achieving efficient unsupervised learning,a novel model,Densely-connected Decoder Transformer(DDformer),is proposed for unsupervised anomaly detection of power electronic systems in this paper.First,efficient labelfree training is achieved based on the concept of autoencoder with recursive-free output.An encoder-decoder structure with densely-connected decoder is then adopted,merging features from all encoder layers to avoid possible loss of mined features while reducing training difficulty.Both simulation and real-world experiments are conducted to validate the capabilities of DDformer,and the average FDR has surpassed baseline models,reaching 89.39%,93.91%,95.98%in different experiment setups respectively. 展开更多
关键词 Power electronic systems Anomaly detection Transformer network Dense connection Unsupervised learning DDformer
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User-Oriented Graph Based Frequency Allocation Algorithm for Densely Deployed Femtocell Network 认领 引用 被引量：9
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作者 栾智荣 曲桦 +1 位作者 赵季红 徐西光 《China Communications》 SCIE CSCD 2013年第12期57-65,共9页
Femtocell is a promising technology for improving indoor coverage and offloading the macrocell.Femtocells tend to be densely deployed in populated areas such as the dormitories.However,the inter-tier interference seri... Femtocell is a promising technology for improving indoor coverage and offloading the macrocell.Femtocells tend to be densely deployed in populated areas such as the dormitories.However,the inter-tier interference seriously exists in the co-channel Densely Deployed Femtocell Network(DDFN).Since the Femtocell Access Points(FAPs) are randomly deployed by their customers,the interference cannot be predicted in advance.Meanwhile,new characteristics such as the short radius of femtocell and the small number of users lead to the inefficiency of the traditional frequency reuse algorithms such as Fractional Frequency Reuse(FFR).Aiming for the downlink interference coordination in the DDFN,in this paper,we propose a User-oriented Graph based Frequency Allocation(UGFA)algorithm.Firstly,we construct the interference graph for users in the network.Secondly,we study the conventional graph based resources allocation algorithm.Then an improved two steps graph based frequency allocation mechanism is proposed.Simulation results show that UGFA has a high frequency reuse ratio mean while guarantees a better throughput. 展开更多
关键词 densely deployed femtocell net-work interference coordination frequency res-ource management graph based algorithms
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Densely packed ultrafine SnO2 nanoparticles grown on carbon cloth for selective CO2 reduction to formate 认领 引用 被引量：4
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作者 Xuewan Wang Dan Wu +3 位作者 Xiaomin Kang Jiujun Zhang Xian-Zhu Fu Jing-Li Luo 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2022年第8期159-166,I0005,共8页
Electrochemical reduction of CO2 to fuels and chemicals is a viable strategy for CO2 utilization and renewable energy storage.Developing free-standing electrodes from robust and scalable electrocatalysts becomes... Electrochemical reduction of CO2 to fuels and chemicals is a viable strategy for CO2 utilization and renewable energy storage.Developing free-standing electrodes from robust and scalable electrocatalysts becomes highly desirable.Here,dense SnO2 nanoparticles are uniformly grown on three-dimensional(3D)fiber network of carbon cloth(CC)by a facile dip-coating and calcination method.Importantly,Zn modification strategy is employed to restrain the growth of long-range order of SnO2 lattices and to produce rich grain boundaries.The hybrid architecture can act as a flexible electrode for CO2-to-formate conversion,which delivers a high partial current of 18.8 m A cm-2 with a formate selectivity of 80%at a moderate cathodic potential of-0.947 V vs.RHE.The electrode exhibits remarkable stability over a 16 h continuous operation.The superior performance is attributed to the synergistic effect of ultrafine SnO2 nanoparticles with abundant active sites and 3D fiber network of the electrode for efficient mass transport and electron transfer.The sizeable electrodes hold promise for industrial applications. 展开更多
关键词 Densely packed SnO2nanoparticles Grain boundary Defect site Flexible electrode Electrochemical reduction CO2to formate conversion
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Analysis of One-Dimensional Compression under a Wide Range of Stress with Densely Arrayed BPM 认领 引用 被引量：3
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作者 Tao Zhang Ke Xu Wenxiong Huang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第6期1101-1117,共17页
In this paper,the densely arrayed bonded particle model is proposed for simulation of granular materials with discrete element method(DEM)considering particle crushing.This model can solve the problem of pore calculat... In this paper,the densely arrayed bonded particle model is proposed for simulation of granular materials with discrete element method(DEM)considering particle crushing.This model can solve the problem of pore calculation after the grains are crushed,and reduce the producing time of specimen.In this work,several one-dimensional compressing simulations are carried out to investigate the effect of particle crushing on mechanical properties of granular materials under a wide range of stress.The results show that the crushing process of granular materials can be divided into four different stages according to er-logσy curves.At the end of the second stage,there exists a yield point,after which the physical and mechanical properties of specimens will change significantly.Under extremely high stress,particle crushing will wipe some initial information of specimens,and specimens with different initial gradings and void ratios present some similar characteristics.Particle crushing has great influence on grading,lateral pressure coefficient and compressibility of granular materials,and introduce extra irreversible volume deformation,which is necessary to be considered in modelling of granular materials in wide stress range. 展开更多
关键词 Densely arrayed BPM particle crushing gradation curve lateral pressure coefficient compressibility extra volume deformation
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MSADCN:Multi-Scale Attentional Densely Connected Network for Automated Bone Age Assessment 认领 引用 被引量：1
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作者 Yanjun Yu Lei Yu +2 位作者 Huiqi Wang Haodong Zheng Yi Deng 《Computers, Materials & Continua》 SCIE EI 2024年第2期2225-2243,共19页
Bone age assessment(BAA)helps doctors determine how a child’s bones grow and develop in clinical medicine.Traditional BAA methods rely on clinician expertise,leading to time-consuming predictions and inaccurate resul... Bone age assessment(BAA)helps doctors determine how a child’s bones grow and develop in clinical medicine.Traditional BAA methods rely on clinician expertise,leading to time-consuming predictions and inaccurate results.Most deep learning-based BAA methods feed the extracted critical points of images into the network by providing additional annotations.This operation is costly and subjective.To address these problems,we propose a multi-scale attentional densely connected network(MSADCN)in this paper.MSADCN constructs a multi-scale dense connectivity mechanism,which can avoid overfitting,obtain the local features effectively and prevent gradient vanishing even in limited training data.First,MSADCN designs multi-scale structures in the densely connected network to extract fine-grained features at different scales.Then,coordinate attention is embedded to focus on critical features and automatically locate the regions of interest(ROI)without additional annotation.In addition,to improve the model’s generalization,transfer learning is applied to train the proposed MSADCN on the public dataset IMDB-WIKI,and the obtained pre-trained weights are loaded onto the Radiological Society of North America(RSNA)dataset.Finally,label distribution learning(LDL)and expectation regression techniques are introduced into our model to exploit the correlation between hand bone images of different ages,which can obtain stable age estimates.Extensive experiments confirm that our model can converge more efficiently and obtain a mean absolute error(MAE)of 4.64 months,outperforming some state-of-the-art BAA methods. 展开更多
关键词 Bone age assessment deep learning attentional densely connected network muti-scale
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3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks 认领 引用 被引量：7
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作者 Xiaobing ZHANG Yin HU +2 位作者 Wen CHEN Gang HUANG Shengdong NIE 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2021年第6期462-475,共14页
To overcome the computational burden of processing three-dimensional(3 D)medical scans and the lack of spatial information in two-dimensional(2 D)medical scans,a novel segmentation method was proposed that integrates ... To overcome the computational burden of processing three-dimensional(3 D)medical scans and the lack of spatial information in two-dimensional(2 D)medical scans,a novel segmentation method was proposed that integrates the segmentation results of three densely connected 2 D convolutional neural networks(2 D-CNNs).In order to combine the lowlevel features and high-level features,we added densely connected blocks in the network structure design so that the low-level features will not be missed as the network layer increases during the learning process.Further,in order to resolve the problems of the blurred boundary of the glioma edema area,we superimposed and fused the T2-weighted fluid-attenuated inversion recovery(FLAIR)modal image and the T2-weighted(T2)modal image to enhance the edema section.For the loss function of network training,we improved the cross-entropy loss function to effectively avoid network over-fitting.On the Multimodal Brain Tumor Image Segmentation Challenge(BraTS)datasets,our method achieves dice similarity coefficient values of 0.84,0.82,and 0.83 on the BraTS2018 training;0.82,0.85,and 0.83 on the BraTS2018 validation;and 0.81,0.78,and 0.83 on the BraTS2013 testing in terms of whole tumors,tumor cores,and enhancing cores,respectively.Experimental results showed that the proposed method achieved promising accuracy and fast processing,demonstrating good potential for clinical medicine. 展开更多
关键词 Glioma Magnetic resonance imaging(MRI) Segmentation Dense block 2D convolutional neural networks(2D-CNNs)
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Mixed Attention Densely Residual Network for Single Image Super-Resolution 认领 引用 被引量：2
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作者 Jingjun Zhou Jing Liu +5 位作者 Jingbing Li Mengxing Huang Jieren Cheng Yen-Wei Chen Yingying Xu Saqib Ali Nawaz 《Computer Systems Science & Engineering》 SCIE EI 2021年第10期133-146,共14页
Recent applications of convolutional neural networks(CNNs)in single image super-resolution(SISR)have achieved unprecedented performance.However,existing CNN-based SISR network structure design consider mostly only cha... Recent applications of convolutional neural networks(CNNs)in single image super-resolution(SISR)have achieved unprecedented performance.However,existing CNN-based SISR network structure design consider mostly only channel or spatial information,and cannot make full use of both channel and spatial information to improve SISR performance further.The present work addresses this problem by proposing a mixed attention densely residual network architecture that can make full and simultaneous use of both channel and spatial information.Specifically,we propose a residual in dense network structure composed of dense connections between multiple dense residual groups to form a very deep network.This structure allows each dense residual group to apply a local residual skip connection and enables the cascading of multiple residual blocks to reuse previous features.A mixed attention module is inserted into each dense residual group,to enable the algorithm to fuse channel attention with laplacian spatial attention effectively,and thereby more adaptively focus on valuable feature learning.The qualitative and quantitative results of extensive experiments have demonstrate that the proposed method has a comparable performance with other stateof-the-art methods. 展开更多
关键词 Channel attention Laplacian spatial attention residual in dense mixed attention
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Codebook design for uplink of densely small cells 认领 引用
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作者 Weikai Tan Aihuang Guo +2 位作者 Wei Luo Wenjuan Sheng Yeqing Qian 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第4期531-537,共7页
The shrinking of cell-size brings significant changes to the wireless uplink of densely small cells （DSCs）. A codebook design is proposed that utilizes the strong line of sight （LOS） chan- nel component existing i... The shrinking of cell-size brings significant changes to the wireless uplink of densely small cells （DSCs）. A codebook design is proposed that utilizes the strong line of sight （LOS） chan- nel component existing in a DSC system for uplink of the DSC system. To further improve the uplink performance, the high-rank codebook is designed based on singular value decomposition （SVD） due to the unnecessary preservation of strict constant modulus in the DSC system. And according to the simulation result, the proposed codebook leads to significant sum-rate gain and appreciable block error rate （BLER） performance improvement in the DSC system. 展开更多
关键词 densely small cell （DSC） codebook design uplink,line of sight （LOS）.
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Adaptive Densely Residual Network for Image Super-Resolution 认领 引用
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作者 Wen Zhao 《国际计算机前沿大会会议论文集》 EI 2021年第1期339-349,共11页
Many networks are designed to stack a large number of residual blocks,deepen the network and improve network performance through short residual connec-tion,long residual connection,and dense connection.However,without... Many networks are designed to stack a large number of residual blocks,deepen the network and improve network performance through short residual connec-tion,long residual connection,and dense connection.However,without consider-ing different contributions of different depth features to the network,these de-signs have the problem of evaluating the importance of different depth features.To solve this problem,this paper proposes an adaptive densely residual net-work(ADRNet)for the single image super resolution.ADRN realizes the evalua-tion of distributions of different depth features and learns more representative features.An adaptive densely residual block(ADRB)was designed,combining 3 residual blocks(RB)and dense connection was added.It learned the attention score of each dense connection through adaptive dense connections,and the at-tention score reflected the importance of the features of each RB.To further en-hance the performance of ADRB,a multi-direction attention block(MDAB)was introduced to obtain multidirectional context information.Through comparative experiments,it is proved that theproposed ADRNet is superior to the existing methods.Through ablation experiments,it is proved that evaluating features of different depths helps to improve network performance. 展开更多
关键词 Deep learning Single image super resolution Multi-direction attention Adaptive densely residual block
Ecological Optimization Design Methods for the Green Space System in Densely Built-up Areas 认领 引用
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作者 BI Linglan ZHANG Fuwen ZHANG Fangming 《Journal of Landscape Research》 2018年第4期35-40,44,共6页
This paper is aimed at studying the environmental degradation of densely built-up areas in the process of urbanization in Qiina. In consideration of the severe environmental conditions of die densely built-up afeas, s... This paper is aimed at studying the environmental degradation of densely built-up areas in the process of urbanization in Qiina. In consideration of the severe environmental conditions of die densely built-up afeas, such as the lack of green space and. open space, ecological disturbance in some areas, poor landscape quality, this paper focused on the ecological space optimization in the process of urban renewal Firstly, theories related to this field were analyzed, and a comprehensive ecological efficiency evaluation sjrstem was established based on disciplines such as urban ecology, landscape ecology, urban sociology, behavioral psychology, biology, urban planning and design. Secondly, this system was used to judge the ecological efficiency of typical blocks on GIS platform and to find out the key spatial nodes that need to be updated. Thirdly, in different cases, space optimization projects witii different theories were designed, and the spatial model of influence was used to comprehensively evaluate their ecological efficiency. Finally, the parameters under different conditions were corrected to get a systematic system for evaluating the green space system in densely built-up areas＊ Due to the lack of undetstanding of the ecological fonction of green space in the past, die environmental condition of densely built-up areas is not good. Therefore, the most important task of urban oigauic renewal is ecological restoiation. In this paper, die exploiation is based on the reservation for built-up afeas to avoid repeated reconstruction and interference. Authors of this paper tried to find out a way to rebuild green space system that performed more complex functions with limited spatial resources. The application of “micfo-ttansfotmation” of green space system in densely built-up areas turns out to improve the quality of landscape while reducing the construction costrds 展开更多
关键词 Densely built-up area Gteen space system Ecological restoration Complex function Micto- cmation
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ZTE Chairman Bullish on Telecom Business Opportunities in Developing and Densely Populated Nations 认领 引用
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《ZTE Communications》 2007年第4期2-2,共1页
ZTE Corporation (ZTE), a leading global provider of telecommunications equipment and network solutions, recently
关键词 ZTE Chairman Bullish on Telecom Business Opportunities in Developing and Densely Populated Nations
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Environmental impact from pollutants in densely settled industrial areas upon the Karstic groundwater body of Apulia(Italy) 认领 引用
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《Global Geology》 1998年第1期73-73,共1页
关键词 body Environmental impact from pollutants in densely settled industrial areas upon the Karstic groundwater body of Apulia
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Pressure Sensors Based on Densely Structured Graphene Fibers for Motion Monitoring 认领 引用 被引量：6
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作者 Yifan Zhi Honghua Zhang +7 位作者 Lugang Zhang Qianqian Li Xiangtian Kuang Wen Wu Qingqing Zhou Ping Li Wei Li Huanxia Zhang 《Advanced Fiber Materials》 SCIE EI CAS CSCD 2025年第2期541-553,共13页
Piezoresistive pressure sensors have received considerable attention because of their simple structure,high sensitivity and low cost.Graphene,which is known for its outstanding mechanical and electrical properties,has... Piezoresistive pressure sensors have received considerable attention because of their simple structure,high sensitivity and low cost.Graphene,which is known for its outstanding mechanical and electrical properties,has shown great application potential as a sensor material.However,its durability and performance consistency in practical applications still require enhancement.In this study,magnetic graphene fibers(MGFs)are prepared via wet spinning,using graphene oxide(GO),doped with Fe3O4nanoparticles.The resulting MGFs exhibit a high tensile strength of 58.6 MPa,a strain of 5.3%and an electrical conductivity of 1.7×104S/m.These MGFs are utilised to construct a multilayer fabric for fabrication of flexible pressure sensors.The confinement within the spinning channel facilitates an ordered arrangement of GO sheets,resulting in MGFs with superior electrical and mechanical properties.The issuing MGFs pressure sensors demonstrate a wide detection range(0-120 kPa),high sensitivity(0.233 kPa−1,0-40 kPa)and rapid responseecovery times(121 ms/158 ms).In addition,it exhibits a remarkable durability,maintaining performance over 1300 cycles,during continuous operation,with negligible degradation.This sensor shows excellent capability in monitoring human physiological activities,indicating its substantial application potential in wearable devices. 展开更多
关键词 Graphene fibers Wet spinning Dense structure Pressure sensor Motion monitoring
Dense planting and nitrogen fertilizer management improve dripirrigated spring maize yield and nitrogen use efficiency in Northeast China 认领 引用 被引量：3
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作者 Liang Fang Guoqiang Zhang +11 位作者 Bo Ming Dongping Shen Zhen Wang Linli Zhou Tingting Zhang Zhongyu Liang Jun Xue Ruizhi Xie Peng Hou Keru Wang Jianquan Ye Shaokun Li 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第4期1443-1450,共8页
Farmers in China often use nitrogen(N)fertilizers to ensure adequate crop growth.However,inappropriate applications have increased the risk of environmental pollution,lowered maize yields,and reduced profits for farme... Farmers in China often use nitrogen(N)fertilizers to ensure adequate crop growth.However,inappropriate applications have increased the risk of environmental pollution,lowered maize yields,and reduced profits for farmers.Proper N fertilizer management is crucial for improving yield and nitrogen use efficiency(NUE).This study conducted a three-year experiment involving nine N treatments(0,45,90,135,180,225,270,315,and 360 kg ha-1)on a field under nitrogen fertilizer precision management(NFPM)in Northeast China.The results were compared with studies published within the past decade that analyzed yield and dry matter(DM)content under two management practices in Northeast China:conventional nitrogen fertilization management(CNFM)and water-saving fertilization management(WSFM).The findings reveal that maize yield increases with rising N application rates up to 270 kg ha-1,after which yield decreases.The kernel number(KN)and kernel weight(KW)of maize grown under NFPM were 13.7 and 14.7%higher than those grown under WSFM,respectively.Furthermore,they surpassed crops grown under CNFM by 38.4 and 21.2%,respectively.The maximum total yield of the NFPM treatment was 41.8 and 78.8%higher than under WSFM and CNFM,respectively.In addition,compared with CNFM and WSFM,NFPM significantly increased NUE across the various N-level treatments.Optimizing nitrogen management can help farmers to achieve higher yields and promote sustainable agricultural development. 展开更多
关键词 maize yield dense planting drip irrigation N use efficiency N fertilizer management
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Ab initio density functional theory approach to warm dense hydrogen:From density response to electronic correlations 认领 引用 被引量：1
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作者 Zhandos A.Moldabekov Xuecheng Shao +5 位作者 Hannah M.Bellenbaum Cheng Ma Wenhui Mi Sebastian Schwalbe Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第2期14-20,共7页
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ... Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications. 展开更多
关键词 thermal density functional theory dft whichhoweversuffers understanding properties warm dense hydrogen thermal density functional theory understand further optimize inertial confinement fusion applicationsthe warm dense matter theory electronic correlations warm dense hydrogen density functional theory
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Cation/anion synergy induced(100) plane dense deposition for dendrite-free aqueous zinc-ion batteries 认领 引用 被引量：1
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作者 Jialin Zheng Fang Xu +6 位作者 Ao Wang Zhenjiang Li Mengqin Song Chunyan Xu Cheng Yun Beinuo Zhang Dai-Huo Liu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第1期709-715,共7页
Aqueous zinc-ion batteries(AZIBs) have advantages including low economic cost and high safety.Nevertheless,the serious hydrogen evolution reactions(HER) and rampant growth of Zn dendrite hinder their further developme... Aqueous zinc-ion batteries(AZIBs) have advantages including low economic cost and high safety.Nevertheless,the serious hydrogen evolution reactions(HER) and rampant growth of Zn dendrite hinder their further development.Herein,potassium acetate(KAc) additive with cation/anion synergy effect is added into the ZnSO4 electrolyte to effectively promote the oriented uniform Zn deposition and suppress side reactions.According to density functional theory calculation and experimental results,CH3COO-(Ac-)anions are capable of forming stronger hydrogen bonds with H2O molecules,leading to an expanded electrochemical stability window,reduced the reactivity of H2O,and hence suppressing HER.Meanwhile,Ac-anions can also preferentially adsorb onto the Zn anode,promoting dense deposition towards the(100) crystal plane.Besides,dissociated K+ ions serve as electrostatic shielding cations,which significantly promote uniform Zn deposition and prevent dendrite formation.Thus,the Zn||Zn symmetric cell demonstrates an impressive cycle lifespan of 3000 h at 1.0 m A/cm2.Furthermore,the Zn||MnO2 full battery exhibits superior stability with a capacity retention of 86.95 % at 2.0 A/g after 4000 cycles.Therefore,the cation/anion synergy effect in KAc additive offers a viable solution to address HER and hinder dendrite growth at the interface of Zn anodes. 展开更多
关键词 Hydrogen bond network Cation/anion synergy (100)plan dense deposition Electrolyte additive Aqueous zinc-ion battery
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CAGE-YOLO:A Dense Small Object Detection Model for Aquaculture Net Cages Based on Remote Sensing Images 认领 引用 被引量：1
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作者 ZHANG Wenbo JIANG Yijue +2 位作者 SONG Wei HE Qi ZHANG Wenbo 《智慧农业（中英文）》 CSCD 2026年第2期98-117,共20页
[Objective]Detecting dense and small aquaculture net cages in complex backgrounds is difficult,the purpose of this study is to build a specialized dataset and design a targeted detection model that enhances recognitio... [Objective]Detecting dense and small aquaculture net cages in complex backgrounds is difficult,the purpose of this study is to build a specialized dataset and design a targeted detection model that enhances recognition accuracy and robustness for practical aquaculture management.[Methods]A dataset of aquaculture net cages was constructed using highresolution remote sensing imagery collected from seven representative farming regions(Australia,Canada,Chile,Croatia,Greece,China,and the Faroe Islands),and Cage-YOLO,a deep learning model based on YOLOv5,was proposed for detecting dense and small aquaculture net cages.First,an adaptive dense perception algorithm was introduced,which automatically selects and generates feature maps that reflect the high-density distribution of small aquaculture net cages.Second,an enhanced module based on spatial pyramid pooling fast was integrated to effectively reduce background noise interference and improve global feature extraction capabilities.Finally,a mixed attention block was incorporated to further enhance the model's perception of dense and small objects.[Results and Discussions]Experimental results showed that the proposed Cage-YOLO achieved improvements over the original YOLOv5 in terms of precision,recall,and mean average precision by 5.6,21.8,and 17.4 percentage points,respectively.The model size was maintained at 16.9 MB,demonstrating both strong performance and deployment advantages.[Conclusions]This study provides a new approach for dense and small object detection and offers technical support for the intelligent management of marine cage aquaculture. 展开更多
关键词 aquaculture net cage small object detection adaptive dense perception algorithm enhancement spatial pyramid pooling mix attention block
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Subcellular Structures in Native Hippocampal Synapses Revealed by Cryo-electron Tomography 认领 引用
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作者 Chong-Li Tian Lei Qi +11 位作者 Zhen-Hang Lu Shuo Liu Min-Ling Gu Wen-Lan Huang Yi-Tong Yan Yun-Tao Liu Jing Wu Peiyi Wang Z Hong Zhou Guo-Qiang Bi Pak-Ming Lau Chang-Lu Tao 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第4期729-743,共15页
Synapses,the core components of neuronal circuits,rely on precise ultrastructural and molecular organization to facilitate quantal transmission and plasticity,which underpin brain information processing and storage.Cr... Synapses,the core components of neuronal circuits,rely on precise ultrastructural and molecular organization to facilitate quantal transmission and plasticity,which underpin brain information processing and storage.Cryo-electron tomography(cryo-ET)has emerged as a powerful tool for elucidating the nanoscale architecture of synapses,yet prior studies have largely focused on synaptic vesicles and postsynaptic receptors,leaving other critical components underexplored.Here,we employed cryo-ET to quantitatively analyze subcellular features across over 300 intact hippocampal synapses,revealing:(1)A significant proportion of excitatory synapses(32%)localized to dendritic shafts,while a relatively high proportion of inhibitory synapses targeted dendritic spines(35%),with synaptic clefts displaying four distinct geometries;(2)Diverse structures,including dense core vesicles,membraneless dense granules,and empty clathrin cages were enriched within presynaptic boutons;(3)Mitochondria prevalent in both pre-and postsynaptic regions,showing higher abundance of mitochondrial matrix granules postsynaptically.These findings provide a comprehensive view of the structural organization within hippocampal synapses and suggest fundamental principles governing their subcellular architecture. 展开更多
关键词 Neuronal synapses Dense core vesicles Dense granules Clathrin cages Mitochondrial matrix granules Cryo-electron tomography
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Mechanism and application of a new method for roof cutting and pressure relief with dense drilling 认领 引用
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作者 FU Qiang YANG Jun +5 位作者 GAO Yu-bing LI Chang-jiang LIU Yu-xuan JIANG Han-ze ZHOU Jian-lin WU Xing 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第2期802-820,共19页
With the continual deterioration of mining conditions,the deformation and failure of surrounding rock in roadways with weak roofs under intense mine pressure during close-distance coal seam extraction has become a cri... With the continual deterioration of mining conditions,the deformation and failure of surrounding rock in roadways with weak roofs under intense mine pressure during close-distance coal seam extraction has become a critical issue restricting the safe and efficient mining of coal.To address the issue of increased surrounding rock damage caused by blasting pressure relief in such roadways,this study proposes an innovative non-explosive method for roof cutting and pressure relief with dense drilling(RCPRDD)to protect the roadway.A combined approach of laboratory experiments,theoretical analysis,numerical simulation,and field testing was employed to clarify the rock weakening effects and mechanisms induced by dense drilling.An optimal design method for drilling diameter and spacing was established,and the effectiveness of this method was validated.The research results indicate that the degree of rock weakening induced by dense drilling is primarily related to the drilling density coefficient.As the drilling density coefficient increases,the rock weakening effect becomes more pronounced.At the same time,dense drilling exerts a significant amplifying effect on the tensile stress experienced by the side roof of the roadway goaf.A functional relationship between the dense drilling weakening coefficient and the drilling density coefficient was established,providing a theoretical basis for the selection of key parameters for dense drilling.The method was ultimately implemented in a field engineering test,effectively reducing the stress in the coal body of the advanced roadway,controlling the deformation and failure of the surrounding rock,and achieving the goal of protecting the roadway.This demonstrated the feasibility and effectiveness of the RCPRDD.The research findings provide a scientific basis for controlling roadway deformation under similar conditions. 展开更多
关键词 surrounding rock control weak roof non-explosive dense drilling roof cutting and pressure relief
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Short-period dense linear array ambient noise tomography of shallow crustal structure across the Haichenghe fault zone,China 认领 引用
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作者 Mingruo Jiao Liang Wang +9 位作者 Hongyu Ni Haiyan Wang Lanshu Bai Shuo Liu Zhihong Zhang Zhenpeng Yang Zhengdong Cui Qingshan Sun Rui Qian Mengying Li 《Earthquake Science》 CAS CSCD 2026年第2期220-234,共15页
The Haicheng region,Liaoning,China,likely hosts a conjugate fault system comprising the NW-trending Haichenghe fault and NE-trending secondary faults.On February 4,1975,at 19:36 CST,an earthquake of MS7.3 and inten... The Haicheng region,Liaoning,China,likely hosts a conjugate fault system comprising the NW-trending Haichenghe fault and NE-trending secondary faults.On February 4,1975,at 19:36 CST,an earthquake of MS7.3 and intensity(MMI)IX hit the city of Haicheng,Liaoning,China.Although deep seismic profiling was previously conducted along the Haichenghe fault,the limited horizontal resolution in the shallow part prevented the recognition of kilometer-scale anomalies.The velocity structure characteristics of the Haichenghe fault and its NE-trending conjugate faults remain unclear.Using the extended range phase shift method,the high-resolution S-wave velocity structures are obtained by deploying a long,dense linear array of 55 short-period seismometers across the fault and NE-trending conjugate faults.The array length was 32 km and inter-station spacing was approximately 600 m,facilitating the collection of approximately 22 days of continuous waveform data.Employing the Extended Range Phase Shift(ERPS)method enabled the extraction of broadband 0.2–5 s Rayleigh wave phase velocity dispersion curves.The broadband dispersion data were used for inversion of the high-resolution S-wave velocity structure to a depth of 8 km from the surface.The velocity structure characteristics and seismicity of the Haichenghe fault and NE-trending conjugate faults were analyzed and compared with nearby fault gas measurements.Results show(1)shallow S-wave velocities show a low-high-low horizontal distribution,corresponding to basin-uplift-basin topography;(2)significant velocity contrasts occur across the Haichenghe fault:its SW segment(0–17 km)exhibits high velocities consistent with Paleoproterozoic crystalline basement(Pt1),while the NE segment(17–32 km)shows low velocities related to Yanshanian intrusions(γ5)and Quaternary sediments.NE-trending conjugate faults display sharp velocity gradients marking fracture locations,with all faults being near-vertical to~8 km depth;(3)seismicity at 1–6 km depth mainly clusters in high-velocity zones;at 6–8 km depth,it concentrates beneath the Haichenghe fault in low-velocity areas and along NE-trending faults;(4)the seismic activity characteristics and fault zone width of the Haicheng he fault reflected by velocity imaging results are basically consistent with those obtained by the fault gas measurement method. 展开更多
关键词 dense linear array ambient noise tomography extended range phase shift method S-wave velocity structure Haichenghe fault
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