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Stress effect on lattice thermal conductivity of anode material NiNB_(2)O_(6)for lithium-ion batteries

Chinese Physics B 2023年第5期32卷 43-48页

作者：陈奥童话吴成伟谢国锋谢忠祥向长青周五星 School of Materials Science and Engineering&Hunan Provincial Key Laboratory of Advanced Materials for New Energy Storage and Conversion Hunan University of Science and TechnologyXiangtan 411201China School of Science Hunan Institute of TechnologyHengyang 421002China College of Information Science and Engineering Jishou UniversityJishou 416000China

The thermal transport properties of NiNB_(2)O_(6)as anode material for lithium-ion battery and the effect of strain were studied by machine learning interatomic potential combined with Boltzmann transport *** results show that the lattice thermal conductivity of NiNB_(2)O_(6)along the three crystal directions[100],[010],and[001]are 0.947 W·m^(-1)·K^(-1),0.727 W·m^(-1)·K^(-1),and 0.465 W·m^(-1)·K^(-1),respectively,indicating the anisotropy of the lattice thermal conductivity of NiNB_(2)O_(6).This anisotropy of the lattice thermal conductivity stems from the significant difference of phonon group velocities in different crystal directions of NiNB_(2)O_(6).When the tensile strain is applied along the[001]crystal direction,the lattice thermal conductivity in all three directions ***,when the compressive strain is applied,the lattice thermal conductivity in the[100]and[010]crystal directions is increased,while the lattice thermal conductivity in the[001]crystal direction is abnormally reduced due to the significant inhibition of compressive strain on the group *** indicate that the anisotropy of thermal conductivity of NiNB_(2)O_(6)can be enhanced by the compressive strain,and reduced by the tensile strain.

关键词： nickel niobate lattice thermal conductivity uniaxial strain machine learning potential

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Speed limit effect during lane change in a two-lane lattice model under V2X environment

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Chinese Physics B 2024年第3期33卷 718-722页

作者：金灿彭光含聂方彦 College of Physical Science and Technology Guangxi Normal UniversityGuilin 541004China Guangxi Key Laboratory of Nuclear Physics and Technology Guangxi Normal UniversityGuilin 541004China Information and Modern Education Technology Center Hunan University of Arts and ScienceChangde 415000China Computer and Information Engineering College Guizhou University of CommerceGuiyang 550014China

Speed limit measures are ubiquitous due to the complexity of the road environment,which can be supplied with the help of vehicle to everything(V2X)communication ***,the influence of speed limit on traffic system will be investigated to construct a two-lane lattice model accounting for the speed limit effect during the lane change process under V2X ***,the stability condition and the mKdV equation are closely associated with the speed limit effect through theory ***,the evolution of density and hysteresis loop is simulated to demonstrate the positive role of the speed limit effect on traffic stability in the cases of strong reaction intensity and high limited speed.

关键词： traffic flow lattice model speed limit

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SGAN-RL: Fusion classification method for network intrusion detection based on data augmentation

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Journal of Intelligent and Fuzzy systems 2025年第4期48卷 569-583页

作者： Li, Lining Liu, Shuai Ren, Rong Wu, Lianhai Wang, Qian Zhang, Bing College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Information Science and Engineering Yanshan University P.R. Qinhuangdao China The Key Laboratory of Software Engineering Yanshan University Qinhuangdao China

Although traditional research methods for intrusion detection can effectively prevent and mitigate issues such as data leaks to avoid severe consequences, existing intrusion detection technologies encounter limitations, including low classification accuracy and high false positive rates, particularly when dealing with high-dimensional, complex network anomaly traffic data. Additionally, the common problem of class imbalance in intrusion detection datasets exacerbates these challenges. This paper introduces a novel approach to network intrusion detection classification, termed SGAN-RL, which integrates ResNet and LSTM models based on the semi-supervised generative adversarial network (SGAN) framework. This method utilizes SGAN to generate synthetic data resembling real intrusion detection data and continually trains the discriminator to produce high-quality data, thereby enhancing data distribution balance and quality. Moreover, a fusion intrusion detection classification model is presented, leveraging the strengths of ResNet and LSTM architectures to capture spatial and temporal features, respectively. This synergistic fusion enhances the model’s capacity for comprehensive data representation, resulting in improved performance in intrusion detection data classification tasks. Experiments conducted on intrusion detection datasets NSL-KDD, UNSW-NB15, and CIC-IDS2017 demonstrate that the proposed model enhances accuracy, precision, recall, F1-score, ROC-AUC, PR-AUC, respectively, showcasing its robust performance and reliability in network intrusion detection classification. © 2025 – IOS Press. All rights reserved.

关键词： Network intrusion

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Discovering Persistent Subgraph Patterns over Streaming Graphs 28th

Discovering Persistent Subgraph Patterns over Streaming Gra...

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28th International Conference on Database systems for Advanced Applications, DASFAA 2023

作者： Huang, Chu Zhang, Qianzhen Guo, Deke Zhao, Xiang Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha China Laboratory for Big Data and Decision National University of Defense Technology Changsha China

ISBN: (纸本)9783031306747

Streaming graph analysis is gaining importance in various fields due to the natural dynamicity in many real graph applications. Prior subgraph discovery problem over streaming graphs mostly focuses on characteristics like frequency and burstiness. Persistence, as a new characteristic, is getting increasing attention. Persistent subgraph discovery highlights behaviors where a subgraph appears recurrently in many time windows, which is vital for many real-world applications (e.g., anomaly detection). While persistent subgraph discovery enjoys many interesting real-life applications, there is no off-the-shelf solution to compute the persistent pattern efficiently. In this work, we are the first to study the persistent subgraph pattern discovering problem over the streaming graph. We devise an auxiliary data structure called TFD to detect the persistent subgraph patterns in real-time with limited memory usage. TFD maps each subgraph into the corresponding bucket based on hash functions to compute the persistence of each pattern. Then we introduce optimizations to separate persistent and non-persistent patterns, further improving the effectiveness and throughput in space-scarce scenarios. Extensive experiments confirm the superiority of our proposed method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anomaly detection

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Electronic structure regulation of Fe-doped Ni2P nanocrystals towards durable electrocatalytic oxygen evolution

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Rare Metals 2024年第12期43卷 6405-6415页

作者： Ya Liu Xing Cao Jia-Jia Liu Mei-Sheng Han Gao-Wei Zhang Yu-Bin Zhao Huan-Hui Chen Liang Yu Jun-Rong Zeng Zhi-Kai Cheng Liu-Biao Zhong Li-Juan Song Ye-Jun Qiu Shenzhen Engineering Lab of Flexible Transparent Conductive Films School of Materials Science and EngineeringHarbin Institute of TechnologyShenzhen518055China School of Physics Harbin Institute of TechnologyHarbin150001China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen518055China School of Science Harbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of TechnologyShenzhen518055China

The inherent electrocatalytic potential of transition metal phosphides(TMPs)for oxygen evolution is influenced by the reduced efficiency of electron transfer resulting from the interaction between electronegative phosphorus atoms and transition ***,we introduce Fe into Ni_(2)P nanocrystals by thermal injection synthesis method,and anchor them on nickel foam(NF)by facile spraying to prepare self-supporting oxygen evolution reaction(OER)***,the optimized electrode of Ni_(2)P-Fe-2/NF demonstrates low overpotentials of 212 mV with 10 mA·cm^(-2)and a 0.9%decay within300 h test of 50 mA·cm^(-2).Notably,when electrode size was expanded to 600 cm^(2)and applied to a larger electrolyzer,its 9 h decay rate at 6 A current was only 1.69%.Characterization results show that Fe doped NiOOH is generated during OER reaction as actual catalyst,Results from density functional theory(DFT)computations suggest that Fe doping shifts NiOOH d-band center to Fermi level,lowering critical *OOH intermediates formation energy barrier during the OER *** findings inform the large-scale industrial application of TMPs as robust electrocatalysts.

关键词： Electronic structure regulation Fe doping Colloidal nanocrystals Ni2P Oxygen evolution reaction

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Exploration on electrical resistance tomography in characterizing the slurry spatial distribution in cemented granular materials

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Frontiers of Structural and Civil engineering 2024年第3期18卷 365-379页

作者： Bohao WANG Wei WANG Feng JIN Handong TAN Ning LIU Duruo HUANG State Key Laboratory of Hydroscience and Engineering Tsinghua UniversityBeijing 100084China Institute of Science and Technology China Three Gorges CorporationBeijing 100038China School of Geophysics and Information Technology China University of GeosciencesBeijing 100083China

This study investigated the application of electrical resistance tomography(ERT)in characterizing the slurry spatial distribution in cemented granular materials(CGMs).For CGM formed by self-flow grouting,the voids in the accumulation are only partially filled and the bond strength is often limited,which results in difficulty in obtaining in situ samples for quality ***,it is usually infeasible to evaluate the grouting effect or monitor the slurry spatial distribution by a mechanical *** this research,the process of grouting cement paste into high alumina ceramic beads(HACB)accumulation is reliably monitored with *** shows that ERT results can be used to calculate the cement paste volume in the HACB accumulation,based on calibrating the saturation exponent n in Archie’s *** results support the feasibility of ERT as an imaging tool in CGM characterization and may provide guidance for engineering applications in the future.

关键词： electrical resistance tomography cemented granular material grouting spatial distribution Archie’s law

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Enhancing the Hydrogen Embrittlement Resistance of Medium Mn Steels by Designing Metastable Austenite with a Compositional Core-shell Structure

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Acta Metallurgica Sinica(English Letters) 2023年第7期36卷 1059-1077页

作者： Jun Zhang Binhan Sun Zhigang Yang Chi Zhang Hao Chen Key Laboratory for Advanced Materials of Ministry of Education School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Key Laboratory of Pressure Systems and Safety Ministryof EducationSchool of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China

Deformation-induced martensite transformation from metastable retained austenite is one of the most efficient strain-hardening mechanisms contributing to the enhancement of strength-ductility synergy in advanced high-strength ***,the hard transformation product(often-martensite)and the H redistribution associated with phase transformation essentially decrease materials’resistance to hydrogen *** solve this fundamental conflict,we introduce a new microstructure architecting strategy based on an accurately design of core–shell compositional distribution inside the austenite *** employed this approach in a typical medium Mn steel(8 wt.%Mn)with an ultrafine grained austenite-ferrite *** produced a high Mn content(15–16 wt.%)in the austenite shell region and a low Mn content(~12 wt.%)in the core region,through a thermodynamics-guided two-step austenite reversion *** room-temperature deformation,the austenite core transforms continuously starting from a low strain,providing a high and persistent strain-hardening *** transformation of Mn-rich austenite shell,on the other hand,occurs only at the latest regime of the deformation,thus effectively inhibiting the nucleation of H-induced cracks at ferrite/deformation-induced martensite interfaces as well as suppressing their growth and *** step-wise transformation,tailored directly targeted to protect the hydrogen-sensitive microstructure defects(interfaces),results in a significantly enhanced hydrogen embrittlement resistance without sacrificing the mechanical performance in hydrogen-free *** design of compositional core–shell structure is expected to be applicable to,at least,other multiphase advanced high-strength steels containing metastable austenite.

关键词： Medium Mn steels Hydrogen embrittlement Core-shell austenite Chemical heterogeneity Deformationinduced martensite transformation

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Analysis of Aviation Equipment Maintenance Rules Based on Correlation 9

Analysis of Aviation Equipment Maintenance Rules Based on Co...

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9th International Conference on Big Data and information Analytics, BigDIA 2023

作者： Li, Zhanzhe Li, Kai Liu, Lihua Wang, Mao Liu, Qingbao National University of Defense Technology Laboratory for Big Data and Decision Changsha China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China

ISBN: (纸本)9798350330076

The maintenance big data management of aviation equipment has always been a major issue in equipment maintenance reform. Especially, the analysis of maintenance errors based on aviation equipment maintenance database is particularly important. This paper proposes an association analysis method based on Apriori algorithm for date mining of a certain aviation equipment maintenance monthly report. Firstly, the BI-LSTM-CRF neural network is used for feature entity recognition. Then, the Apriori algorithm is used for association rule analysis to mine potential laws between multidimensional data, and radar charts are drawn to customize comprehensive evaluation indicators for overall visual analysis of different aviation equipment. Finally, a case demonstration is presented at the end. The proposed method aims to mine the hidden value information in unstructured text materials for key data such as equipment fault location, fault type, and impact degree. © 2023 IEEE.

关键词： Data mining

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RJAN:Region-based joint attention network for 3D shape recognition

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CAAI Transactions on Intelligence technology 2025年第2期10卷 460-473页

作者： Yue Zhao Weizhi Nie Jie Nie Yuyi Zhang Bo Wang Hangzhou Institute of Technology Xidian UniversityHangzhouChina School of Electronic Engineering Key Laboratory of Collaborative Intelligence SystemsMinistry of EducationXidian UniversityXi'anChina School of Electrical and Information Engineering Tianjin UniversityTianjinChina Ocean University of China QingdaoChina State Key Laboratory of Digital Multimedia Technology HisenseChina

As an essential field of multimedia and computer vision,3D shape recognition has attracted much research attention in recent ***-based approaches have demonstrated their superiority in generating effective 3D shape *** methods usually extract the multiview global features and aggregate them together to generate 3D shape ***,there exist two disadvantages:First,the mainstream methods ignore the comprehensive exploration of local information in each ***,many approaches roughly aggregate multiview features by adding or concatenating them *** information loss for some discriminative characteristics limits the representation *** address these problems,a novel architecture named region-based joint attention network(RJAN)was ***,the authors first design a hierarchical local information exploration module for view descriptor *** region-to-region and channel-to-channel relationships from different granularities can be comprehensively explored and utilised to provide more discriminative characteristics for view feature ***,a novel relation-aware view aggregation module is designed to aggregate the multiview features for shape descriptor generation,considering the view-to-view *** experiments were conducted on three public databases:ModelNet40,ModelNet10,and *** achieves state-of-the-art performance in the tasks of 3D shape classification and 3D shape retrieval,which demonstrates the effectiveness of *** code has been released on https://***/slurrpp/RJAN.

关键词： 3D shape recognition attention mechanism multiview

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rafPS:A shapley-based visual analytics approach to interpret traffic

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Computational Visual Media 2024年第6期10卷 1101-1119页

作者： Zezheng Feng Yifan Jiang Hongjun Wang Zipei Fan Yuxin Ma Shuang-Hua Yang Huamin Qu Xuan Song Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 18055China Department of Computer Science and Engineering Hong Kong University of Science and TechnologyHong KongChina Department of Computer Science University of ReadingBerkshire RG66AHUK Center for Spatial Information Science the University of TokyoTokyo 113-00331Japan Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet Southern University of Science and TechnologyShenzhen 518055China

Recent achievements in deep learning(DL)have demonstrated its potential in predicting traffic *** predictions are beneficial for understanding the situation and making traffic control ***,most state-of-the-art DL models are consi-dered“black boxes”with little to no transparency of the underlying mechanisms for end *** previous studies attempted to“open the black box”and increase the interpretability of generated ***,handling complex models on large-scale spatiotemporal data and discovering salient spatial and temporal patterns that significantly influence traffic flow remain *** overcome these challenges,we present TrafPS,a visual analytics approach for interpreting traffic prediction outcomes to support decision-making in traffic management and urban *** measurements region SHAP and trajectory SHAP are proposed to quantify the impact of flow patterns on urban traffic at different *** on the task requirements from domain experts,we employed an interactive visual interface for the multi-aspect exploration and analysis of significant flow *** real-world case studies demonstrate the effectiveness of TrafPS in identifying key routes and providing decision-making support for urban planning.

关键词： data visualization model interpretation urban planning urban visual analytics

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