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Monocular 3D object detection with Pseudo-LiDAR confidence sampling and hierarchical geometric feature extraction in 6G network

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Digital Communications and Networks 2023年第4期9卷 827-835页

作者： Jianlong Zhang Guangzu Fang Bin Wang xiaobo Zhou Qingqi Pei Chen Chen School of Electronic Engineering Xidian UniversityXi'an710071China School of Computer Science and Technology College of Intelligence and ComputingTianjin UniversityTianjin300000China School of Telecommunications Engineering Xidian UniversityXi'an710071China

The high bandwidth and low latency of 6G network technology enable the successful application of monocular 3D object detection on vehicle *** 3D-object-detection-based Pseudo-LiDAR is a low-cost,lowpower solution compared to LiDAR solutions in the field of autonomous ***,this technique has some problems,i.e.,(1)the poor quality of generated Pseudo-LiDAR point clouds resulting from the nonlinear error distribution of monocular depth estimation and(2)the weak representation capability of point cloud features due to the neglected global geometric structure features of point clouds existing in LiDAR-based 3D detection ***,we proposed a Pseudo-LiDAR confidence sampling strategy and a hierarchical geometric feature extraction module for monocular 3D object *** first designed a point cloud confidence sampling strategy based on a 3D Gaussian distribution to assign small confidence to the points with great error in depth estimation and filter them out according to the ***,we present a hierarchical geometric feature extraction module by aggregating the local neighborhood features and a dual transformer to capture the global geometric features in the point ***,our detection framework is based on Point-Voxel-RCNN(PV-RCNN)with high-quality Pseudo-LiDAR and enriched geometric features as *** the experimental results,our method achieves satisfactory results in monocular 3D object detection.

关键词： Monocular 3D object detection Pseudo-LiDAR Confidence sampling Hierarchical geometric feature extraction

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Flame-assisted ultrafast synthesis of functionalized carbon nanosheets for high-performance sodium storage

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Carbon Energy 2024年第7期6卷 123-133页

作者： Chen Chen Dong Yan Yew Von Lim Lei Liu Xue Liang Li Junjie Chen Tian Chen Li Youyu Zhu Jiangtao Cai Ying Huang Yating Zhang Hui Ying Yang School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi'anChina Pillar of Engineering Product Development Singapore University of Technology and DesignSingaporeSingapore School of Electrical Engineering Xi'an University of TechnologyXi'anChina International Joint Laboratory of New Energy Materials and Devices of Henan Province School of Physics and ElectronicsHenan UniversityKaifengChina College of Chemistry and Chemical Engineering Xi'an University of Science and TechnologyXi'anChina

The unique structural features of hard carbon(HC)make it a promising anode candidate for sodium-ion batteries(SIB).However,traditional methods of preparing HC require special equipment,long reaction times,and large energy consumption,resulting in low throughputs and *** our contribution,a novel synthesis method is proposed,involving the formation of HC nanosheets(NS-CNs)within minutes by creating an anoxic environment through flame combustion and further introducing sulfur and nitrogen sources to achieve heteroatom *** effect of heterogeneous element doping on the microstructure of HC is quantitatively analyzed by high-resolution transmission electron microscopy and image processing *** with density functional theory calculation,it is verified that the functionalized HC exhibits stronger Na^(+)adsorption ability,electron gain ability,and Na^(+) migration *** a result,NS-CNs as SIB anodes provide an ultrahigh reversible capacity of 542.7mAh g^(-1) at 0.1Ag^(-1),and excellent rate performance with a reversible capacity of 236.4mAh g^(-1) at 2Ag^(-1) after 1200 ***,full cell assembled with NS-CNs as the can present 230mAh g^(-1) at 0.5Ag^(-1) after 150 ***,in/ex situ techniques confirm that the excellent sodium storage properties of NS-CNs are due to the construction of abundant active sites based on the novel synthesis method for realizing the reversible adsorption of Na^(+).This work provides a novel strategy to develop novel carbons and gives deep insights for the further investigation of facile preparation methods to develop high-performance carbon anodes for alkali-ion batteries.

关键词： carbon nanosheets heteroatom doping sodium-ion battery sustainable materials

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Unveiling first self-healing in metallised film capacitor:A macro-micro analysis

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High Voltage 2025年第2期10卷 362-373页

作者： Yushuang He Feipeng Wang Guoqiang Du Lei Pan Jian Li Hongming Yang xiao Zhang Zhicheng Zhang Kaizheng Wang State Key Laboratory of Power Transmission Equipment Technology School of Electrical EngineeringChongqing UniversityChongqingChina School of Electrical&Information Engineering Changsha University of Science and TechnologyChangshaChina National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of EngineeringWuhanChina Xi'an Key Laboratory of Sustainable Energy Material Chemistry School of ChemistryXi'an Jiaotong UniversityXi'anChina Faculty of Electrical Engineering Kunming University of Science and TechnologyKunmingChina

Metallised film capacitors(MFCs)are renowned for their unique self-healing(SH)properties,which bestow them with exceptional reliability and stability in the face of intense electric fields,high voltages,and pulse power ***,the exploration of SH characteristics concerning single-layer dielectric film remains insufficient for advancing MFC reliability *** establish the theoretical correlation of SH characteristics from the device to the film in the MFCs,this work developed a simulation model to analyse the SH dynamic behaviour in the *** effects of coupling capacitors,arc resistance and insulation resistance on the macroscopic characteristics(voltage drop and pulse current)are focused during the SH process in *** results indicate that SH is primarily associated with the voltage drop duration rather than the sampling ***,the SH process in MFC is characterised as an abrupt decrease in voltage to its minimum *** refinement enhances the SH energy dissipation model of *** quantified relationship between the macroscopic characteristics and microstructure evolution(polypropylene decomposition and aluminium electrode vaporisation)is established in MFCs under diverse SH energy *** SH energy and duration increase,the proportion of energy attributed to polypropylene decomposition increases,resulting in multi-layer ablation and adhesion within the metallised film and a pronounced deterioration in MFC electrical *** examination of macro-micro perspectives sheds new light on the intricate mechanisms governing the SH behaviour in MFCs,offering valuable insights for the advancement of their design,reliability evaluation,and performance optimisation in diverse electrical applications.

关键词： pulse current reliability evaluation polypropylene decomposition aluminium electrode vaporisation voltage drop metallised film capacitors macro micro analysis metallised film capacitors mfcs

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BAR:a branch-alternation-resorting algorithm for locality exploration in graph processing

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High technology Letters 2024年第1期30卷 31-42页

作者：邓军勇 WANG Junjie JIANG Lin xiE xiaoyan ZHOU Kai School of Electronic Engineering Xi'an University of Posts and TelecommunicationsXi'an 710121P.R.China School of Computer Xi'an University of Science and TechnologyXi'an 710054P.R.China School of Computer Xi'an University of Posts and TelecommunicationsXi'an 710121P.R.China

Unstructured and irregular graph data causes strong randomness and poor locality of data accesses in graph *** paper optimizes the depth-branch-resorting algorithm(DBR),and proposes a branch-alternation-resorting algorithm(BAR).In order to make the algorithm run in parallel and improve the efficiency of algorithm operation,the BAR algorithm is mapped onto the reconfigurable array processor(APR-16)to achieve vertex reordering,effectively improving the locality of graph *** paper validates the BAR algorithm on the GraphBIG framework,by utilizing the reordered dataset with BAR on breadth-first search(BFS),single source shortest paht(SSSP)and betweenness centrality(BC)algorithms for *** results show that compared with DBR and Corder algorithms,BAR can reduce execution time by up to 33.00%,and 51.00%*** terms of data movement,the BAR algorithm has a maximum reduction of 39.00%compared with the DBR algorithm and 29.66%compared with Corder *** terms of computational complexity,the BAR algorithm has a maximum reduction of 32.56%compared with DBR algorithm and53.05%compared with Corder algorithm.

关键词： graph processing vertex reordering branch-alternation-resorting algorithm(BAR) reconfigurable array processor

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Uncertainty and sensitivity analysis of in-vessel phenomena under severe accident mitigation strategy based on ISAA-SAUP program

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Nuclear science and Techniques 2024年第1期35卷 108-123页

作者： Hao Yang Ji-Shen Li Zhi-Ran Zhang Bin Zhang Jian-Qiang Shan School of Nuclear Science and Technology Xi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong UniversityXi’an 710049China

The phenomenology involved in severe accidents in nuclear reactors is highly ***,integrated analysis programs used for severe accident analysis heavily rely on custom empirical parameters,which introduce considerable ***,in recent years,the field of severe accidents has shifted its focus toward applying uncertainty analysis methods to quantify uncertainty in safety assessment programs,known as“best estimate plus uncertainty(BEPU).”This approach aids in enhancing our comprehension of these programs and their further development and *** study concentrates on a third-generation pressurized water reactor equipped with advanced active and passive mitigation *** an Integrated Severe Accident Analysis Program(ISAA),numerical modeling and uncertainty analysis were conducted on severe accidents resulting from large break loss of coolant *** uncertainty parameters of the ISAA program were meticulously *** Wilks'formula,the developed uncertainty program code,SAUP,was employed to carry out Latin hypercube sampling,while ISAA was employed to execute batch *** analysis was then conducted on two figures of merit,namely hydrogen generation and the release of fission products within the pressure *** calculations revealed that hydrogen production and the fraction of fission product released exhibited a normal distribution,ranging from 182.784 to 330.664 kg and from 15.6 to 84.3%,*** ratio of hydrogen production to reactor thermal power fell within the range of 0.0578–0.105.A sensitivity analysis was performed for uncertain input parameters,revealing significant correlations between the failure temperature of the cladding oxide layer,maximum melt flow rate,size of the particulate debris,and porosity of the debris with both hydrogen generation and the release of fission products.

关键词： Gen-III PWR Severe accident mitigation Wilks’formula Hydrogen Fission products Uncertainty and sensitivity analysis

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Endogenous Security Formal Definition,Innovation Mechanisms,and Experiment Research in Industrial Internet

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Tsinghua science and technology 2024年第2期29卷 492-505页

作者： Hongsong Chen xintong Han Yiying Zhang School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China

With the rapid development of information technologies,industrial Internet has become more open,and security issues have become more *** endogenous security mechanism can achieve the autonomous immune mechanism without prior ***,endogenous security lacks a scientific and formal definition in industrial ***,firstly we give a formal definition of endogenous security in industrial Internet and propose a new industrial Internet endogenous security architecture with cost ***,the endogenous security innovation mechanism is clearly ***,an improved clone selection algorithm based on federated learning is ***,we analyze the threat model of the industrial Internet identity authentication scenario,and propose cross-domain authentication mechanism based on endogenous key and zero-knowledge *** conduct identity authentication experiments based on two types of blockchains and compare their experimental *** on the experimental analysis,Ethereum alliance blockchain can be used to provide the identity resolution services on the industrial *** of Things Application(IOTA)public blockchain can be used for data aggregation analysis of Internet of Things(IoT)edge ***,we propose three core challenges and solutions of endogenous security in industrial Internet and give future development directions.

关键词： industrial Internet endogenous security architecture federated learning blockchain

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Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning

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IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2204-2219页

作者： Yuanxin Lin Zhiwen Yu Kaixiang Yang Ziwei Fan C.L.Philip Chen the School of Computer Science and Engineering in South China University of Technology IEEE the Pengcheng Laboratory

Multi-label classification is a challenging problem that has attracted significant attention from researchers, particularly in the domain of image and text attribute annotation. However, multi-label datasets are prone to serious intra-class and inter-class imbalance problems, which can significantly degrade the classification performance. To address the above issues, we propose the multi-label weighted broad learning system(MLW-BLS) from the perspective of label imbalance weighting and label correlation mining. Further, we propose the multi-label adaptive weighted broad learning system(MLAW-BLS) to adaptively adjust the specific weights and values of labels of MLW-BLS and construct an efficient imbalanced classifier set. Extensive experiments are conducted on various datasets to evaluate the effectiveness of the proposed model, and the results demonstrate its superiority over other advanced approaches.

关键词： Broad learning system label correlation mining label imbalance weighting multi-label imbalance

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A Multi-AGV Routing Planning Method Based on Deep Reinforcement Learning and Recurrent Neural Network

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1720-1722页

作者： Yishuai Lin Gang Hu Liang Wang Qingshan Li Jiawei Zhu the School of Computer Science and Technology Xidian UniversityXi’an 710000China Suzhou Mingyi Intelligence Warehousing Information Technology Co. Ltd.Kunshan 215300China the School of Information Engineering Chang’an UniversityXi’an 710000China

Dear Editor,This letter presents a multi-automated guided vehicles(AGV) routing planning method based on deep reinforcement learning(DRL)and recurrent neural network(RNN), specifically utilizing proximal policy optimi... 详细信息

关键词： network AGV Deep

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Enhancing heavy gas capture in confined spaces through ventilation control technology

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Building Simulation 2024年第7期17卷 1161-1182页

作者： Tianqi Wang Angui Li Yuanqing Ma Ying Zhang Haiguo Yin School of Building Services Science and Engineering Xi’an University of Architecture and TechnologyNo.13 Yanta RDXi’anShaanxi710055China

Gas leakage accidents occur frequently in confined spaces,and heavy gases with a relative density greater than 1.15 among hazardous gases and greenhouse gases are commonly stored in confined ***,atmospheric pollutant emission standards are becoming more stringent,and it is essential to remove heavy gas after accidents while reducing emissions to the *** study proposes using a heavy gas collection tank(HGCT)to safeguard the internal environment and minimize emissions to the *** capture efficiencies applicable to heavy-gas environments under different ventilation strategies are *** research analyzes the impact of the exhaust rate,leakage rate,density of heavy gas,and air supply modes on the indoor concentration *** results demonstrate that the mass flow rate of heavy gas into the exhaust is positively correlated with the exhaust rate,but the gas from the exhaust system contains more *** exhaust rate should be greater than four times the space volume per hour;otherwise,heavy gas above 1000 ppm accumulates to a height of 0.67 m at ground ***,attachment ventilation as make-up air helps to reduce upstream heavy gas accumulation and reduces the extension of heavy gas along the room *** an HGCT with floor slope and attachment ventilation achieves an efficiency of 96.28%.This study provides valuable insights and references for preventing hazardous heavy gas leakage.

关键词： confined gases otherwise

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Research on Traffic Sign Image Recognition Algorithms Under Complex Weather Conditions 19th

Research on Traffic Sign Image Recognition Algorithms Under ...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Liu, Sheng Qi, Liming Cao, Ting School of Computer Science and Engineering Xi’an University of Technology Xi’an710048 China

ISBN: (纸本)9783031651250

In the transportation system, the influence of haze is more significant, such as license plate recognition, real-time monitoring, etc. The visibility of both people and equipment is greatly affected in foggy weather, leading to the emergence of foggy image processing. We analyzed the recognition requirements of traffic signs in foggy weather and conducted research on algorithms for removing fog from foggy images and extracting image edges. This topic mainly improved on the traditional Retinex algorithm, recognizing the loss of detail information in images under Gaussian filtering conditions. We applied guided filtering to the estimation of illumination images to achieve the preservation of image edge information. In terms of image recognition, the currently best performing LOG operator and Canny edge extraction algorithm were applied to achieve the extraction of detail information. Then, based on the background knowledge of Convolutional neural network, a small Convolutional neural network model is designed for training to realize the recognition and classification of traffic sign images. The experimental results show that the method proposed in this paper can achieve good functions in fog removal and traffic sign recognition. © ICST Institute for computer sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Traffic signs

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