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arXiv 2024年

作者： Liu, Lizhou An, Jiaqi Ren, Yafei Zhang, Ying-Tao Qiao, Zhenhua Niu, Qian College of Physics Hebei Normal University Hebei Shijiazhuang050024 China International Centre for Quantum Design of Functional Materials CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics Department of Physics University of Science and Technology of China Anhui Hefei230026 China Department of Physics University of Delaware DE19716 United States Hefei National Laboratory University of Science and Technology of China Hefei230088 China

We theoretically investigate the engineering of two-dimensional second-order topological insulators with corner states by coupling two first-order topological insulators. We find that the interlayer coupling between two topological insulators with opposite topological invariants results in the formation of edge-state gaps, which are essential for the emergence of the corner states. Using the effective Hamiltonian framework, We elucidate that the formation of topological corner states requires either the preservation of symmetry in the crystal system or effective mass countersigns for neighboring edge states. Our proposed strategy for inducing corner state through interlayer coupling is versatile and applicable to both Z2 topological insulators and quantum anomalous Hall effects. We demonstrate this approach using several representative models including the seminal Kane-Mele model, the Bernevig-Hughes-Zhang model, and the Rashba graphene model to explicitly exhibit the formation of corner states via interlater coupling. Moreover, we also observe that the stacking of the coupled Z2 topological insulating systems results in the formation of the time-reversal invariant three-dimensional second-order nodal ring semimetals. Remarkably, the three-dimensional system from the stacking of the Bernevig-Hughes-Zhang model can be transformed into second-order Dirac semimetals, characterized by one-dimensional hinge Fermi arcs. Our strategy of engineering second-order topological phases via simple interlayer coupling promises to advance the exploration of higher-order topological insulators in two-dimensional spinful systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Electric insulators

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SDNVD-SCADA: A formalized vulnerability detection platform in SDN-Enabled SCADA system 13th

SDNVD-SCADA: A formalized vulnerability detection platform i...

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13th Conference on Advanced Computer Architecture, ACA 2020

作者： Zhao, Jinjing Pang, Ling Lin, Bai National Key Laboratory of Science and Technology on Information System Security Beijing China Beijing Institute of System Engineering Beijing China

ISBN: (纸本)9789811581342

After the Stunex event in 2010, the security problems of SCADA reveal to the public, which abstract more and more researchers to design new security firms to address the security problems of SCADA. Especially, after the software defined network (SDN) arose, it has become a beneficial attempt to improve the SCADA security. In this paper, a formalized vulnerability detection platform named SDNVD-SCADA is presented based on the SDN technology, which can be used to find the most familiar vulnerabilities in SCADA design, implementation, deployment and action processes. A general security mechanism description language and a SCADA vulnerability pattern database are embedded in SDNVD-SCADA to achieve the ambition of automatic vulnerability detection. © Springer Nature Singapore Pte Ltd 2020.

关键词： SCADA systems

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Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation 39

Semi-Supervised Clustering Framework for Fine-grained Scene ...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Yang, Jiarui Wang, Chuan Zhang, Jun Wu, Shuyi Jinjing, Zhao Liu, Zeming Yang, Liang Shanghai Key Lab of Intell. Info. Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China Institute of Information Engineering CAS China School of Computer Science and Technology Beijing JiaoTong University China Guangdong Provincial Key Lab of Intell. Info. Processing & Shenzhen Key Lab of Media Security Shenzhen University China Information Research Center of Military Science PLA Academy of Military Science China National Key Laboratory of Science and Technology on Information System Security China School of Computer Science and Engineering Beihang University China School of Artificial Intelligence Hebei University of Technology China

ISBN: (纸本)157735897X

Scene Graph Generation (SGG) aims to detect all objects and identify their pairwise relationships existing in the scene. Considering the substantial human labor costs, existing scene graph annotations are often sparse and biased, which result in confusion training with low-frequency predicates. In this work, we design a Semi-Supervised Clustering framework for Scene Graph Generation (SSC-SGG) that uses the sparse labeled data to guide the generation of effective pseudo-labels from unlabeled object pairs, thus enriching the labeled sample space, especially for low-frequency interaction samples. We approach from the perspective of clustering, reducing the problem of confirmation bias in a self-training manner. Specifically, we first enhance the model’s robustness to feature extraction via prototype-based clustering, aggregating different relationship augmented features onto the same prototype. Secondly, we design a dynamic pseudo-label assignment algorithm based on a mini-batch, which adjusts the detection sensitivity to different frequency samples from the historical assignment. Finally, we conduct joint training on the pseudo-labels and the labeled data. We conduct experiments on various SGG models and achieve substantial overall performance improvements, demonstrating the effectiveness of SSC-SGG. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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Research on Electromagnetic Launch Control system Based on ARM and FPGA Architecture

Research on Electromagnetic Launch Control System Based on A...

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Computational Modeling, Simulation and Data Analysis (CMSDA), International Conference on

作者： Xiaodong Zhao Wantong Li Haiyuan Li National Key Laboratory of Transient Physics Nanjing University of Science and Technology Nanjing China Unmanned System Research Institute Northwestern Polytechnical University Xi'an China

Aiming at the high reliability design problem of electromagnetic launch control system, this paper proposes a control system design method based on ARM and FPGA architecture. The overall structure of the control system is divided into three parts: box control, subsystem control and module control. Among them, the subsystem controller is composed of a control motherboard and a pulse power management board. The control motherboard is designed based on the architecture of ARM and FPGA. ARM runs logic related processing, and FPGA processes timing control, synchronous feedback and other functions that require high time accuracy. Based on the host computer software, the current curves of specific discharge energy and discharge time sequence are analyzed. The verification results show that the discharge current waveform can be controlled by controlling the discharge sequence of Pulse Forming Network (PFN) through the control system. Under the condition of long equal interval discharge sequence, the peak current decreases and the wave pattern changes gently. The electromagnetic launch control system realized in this paper has high scalability, can monitor more than twenty pulse power units, and can achieve highly reliable control of the launch system based on single shot and continuous shot operation mode.

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Manipulating interfacial charge redistribution in Mn 0.5 Cd 0.5 S/N-rich C 3 N 5 S-scheme heterojunction for high-performance photocatalytic removal of emerging contaminants

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Journal of Materials science & technology 2026年 243卷 265-274页

作者： Deyun Ma Qingquan Xue Yanping Liu Fenglan Liang Wenyao Li Tong Liu Chunqiang Zhuang Zaiwang Zhao Shijie Li School of Food and Pharmaceutical Engineering School of life sciences Zhaoqing University Zhaoqing 526061 China Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province Interdisciplinary Research Academy (IRA) Zhejiang Shuren University Hangzhou 310015 China National Engineering Research Center for Marine Aquaculture Zhejiang Ocean University Zhoushan 316022 China School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai 201620 China Key Laboratory of Green Chemical Process Ministry of Education Hubei Key Laboratory of Novel Reactor and Green Chemical Technology School of Chemical Engineering and Pharmacy Wuhan Institute of Technology Wuhan 430205 China Institute of Microstructure and Property of Advanced Materials Beijing University of Technology Beijing 100124 China College of Energy Materials and Chemistry College of Chemistry and Chemical Engineering Inner Mongolia University Hohhot 010070 China

Engineering advanced S-scheme heterojunction photocatalysts represents a prospective strategy for efficient antibiotic-contaminated wastewater decontamination. However, the practical realization of such systems is hindered by difficulties in achieving seamless interfacial integration and precise control over charge-carrier dynamics. Herein, we proposed a shell-core 0D/2D Mn 0.5 Cd 0.5 S/C 3 N 5 S-scheme heterojunction with compact interfacial contact, synthesized by in-situ solvothermal growth of Mn 0.5 Cd 0.5 S nanodots on C 3 N 5 nanosheets. This optimized Mn 0.5 Cd 0.5 S/C 3 N 5 heterojunction performs extraordinary catalytic performance and enables approximately 1.3- and 3.2-fold tetracycline abatement rate greater than that for Mn 0.5 Cd 0.5 S and C 3 N 5 , respectively, which arises from the synergy of efficient spatial photo-carrier separation and well preserved great redox capacity of the heterojunction enabled by the S-scheme mechanism. Mechanistic validation was achieved through systematic characterizations and computational analyses. This study advances the rational design of shell-core S-scheme heterojunctions for photocatalytic antibiotic wastewater treatment.

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Effects of Wall Emissivity on Aerodynamic Heating in Scramjets

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Fluid Dynamics & Materials Processing 2020年第6期16卷 206-216页

作者： Yue Zhou Pengfei Ju School of Aeronautical Science and Technology Beihang UniversityBeijing100191China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education(Tianjin University of Technology) Tianjin300384China

The effects of the wall emissivity on aerodynamic heating in a scramjet are *** supersonic turbulent combustion flow including radiation is solved in the framework of a decoupled strategy where the flow field is determined first and the radiation field *** particular,a finite difference method is used for solving the flow while a DOM(iscrete ordinates method)approach combined with a WSGGM(weighted sum of gray gases)model is implemented for radiative *** nonreactive turbulent channel flows are examined for a DLR hydrogen fueled scramjet changing parametrically the wall *** results indicate that the wall radiative heating rises greatly with increasing the wall *** the wall emissivity rises,the radiative source and total absorption increase,while the incident radiation decreases ***,although the radiative heating can reach a significant level,its contribution to the total aerodynamic heating is relatively limited.

关键词： Scramjet aerodynamic heating wall emissivity radiation

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Structure design enables stable anionic and cationic redox chemistry in a T2-type Li-excess layered oxide cathode

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science Bulletin 2022年第4期67卷 381-388,M0004页

作者： Xin Cao Haifeng Li Yu Qiao Min Jia Hirokazu Kitaura Jianan Zhang Ping He Jordi Cabana Haoshen Zhou Energy Technology Research Institute National Institute of Advanced Industrial Science and Technology(AIST)Tsukuba 305-8568Japan Department of Chemistry University of Illinois at ChicagoChicagoIL 60607USA Center of Energy Storage Materials&Technology College of Engineering and Applied SciencesJiangsu Key Laboratory of Artificial Functional MaterialsNational Laboratory of Solid State Microstructuresand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China Graduate School of System and Information Engineering University of TsukubaTsukuba 305-8573Japan College of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001China

Coupled with anionic and cationic redox chemistry,Li-rich/excess cathode materials are prospective high-energy-density candidates for the next-generation Li-ion ***,irreversible lattice oxygen loss would exacerbate irreversible transition metal migration,resulting in a drastic voltage decay and capacity ***,a metastable layered Li-excess cathode material,T2-type Li_(0.72)[Li_(0.12)Ni_(0.36)Mn_(0.52)]O_(2),was developed,in which both oxygen stacking arrangement and Li coordination environment fundamentally differ from that in conventional O3-type layered *** means of the reversible Li migration processes and structural evolutions,not only can voltage decay be effectively restrained,but also excellent capacity retention can be achieved upon long-term ***,irreversible/reversible anionic/cationic redox activities have been well assigned and quantified by various in/ex-situ spectroscopic techniques,further clarifying the charge compensation mechanism associated with(de)*** findings of the novel T2 structure with the enhanced anionic redox stability will provide a new scope for the development of high-energy-density Li-rich cathode materials.

关键词： Cathode materials Layered oxides Voltage decay Lattice oxygen release Structural stability

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Gapless genome assembly of azalea and multi-omics investigation into divergence between two species with distinct f lower color

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Horticulture Research 2023年第1期10卷 193-206页

作者： Shuai Nie Shi-Wei Zhao Tian-Le Shi Wei Zhao Ren-Gang Zhang Xue-Chan Tian Jing-Fang Guo Xue-Mei Yan Yu-Tao Bao Zhi-Chao Li Lei Kong Hai-Yao Ma Zhao-Yang Chen Hui Liu Yousry AEl-Kassaby Ilga Porth Fu-Sheng Yang Jian-Feng Mao National Engineering Research Center of Tree Breeding and Ecological Restoration Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignKey Laboratory of Genetics and Breeding in Forest Trees and Ornamental PlantsMinistry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083China Department of Ecology and Environmental Science UmeåPlant Science CentreUmeåUniversitySE-90187 UmeåSweden Department of Bioinformatics Ori(Shandong)Gene Science and Technology Co.Ltd.Weifang 261322China Department of Forest and Conservation Sciences Faculty of ForestryUniversity of British ColumbiaVancouverBCV6T 1Z4Canada Départment des Sciences du Bois et de la Forêt Facultéde Foresteriede Géographie et GéomatiqueUniversitéLavalQuébecQCG1V 0A6Canada State Key Laboratory of Systematic and Evolutionary Botany Institute of BotanyChinese Academy of SciencesBeijing 100093China University of Chinese Academy of Sciences Beijing 100049China

The genus Rhododendron(Ericaceae),with more than 1000 species highly diverse in f lower color,is providing distinct ornamental values and a model system for f lower color ***,we investigated the divergence between two parental species with different f lower color widely used for azalea *** genome assembly was generated for the yellow-f lowered azalea,Rhododendron *** genomics found recent proliferation of long terminal repeat retrotransposons(LTR-RTs),especially Gypsy,has resulted in a 125 Mb(19%)genome size increase in species-specific regions,and a significant amount of dispersed gene duplicates(13402)and pseudogenes(17437).Metabolomic assessment revealed that yellow f lower coloration is attributed to the dynamic changes of carotenoids/f lavonols biosynthesis and chlorophyll ***-ordered gene co-expression networks(TO-GCNs)and the comparison confirmed the metabolome and uncovered the specific gene regulatory changes underpinning the distinct f lower pigmentation.B3 and ERF TFs were found dominating the gene regulation of carotenoids/f lavonols characterized pigmentation in ***,while WRKY,ERF,WD40,C2H2,and NAC TFs collectively regulated the anthocyanins characterized pigmentation in the red-f lowered R *** study employed a multi-omics strategy in disentangling the complex divergence between two important azaleas and provided references for further functional genetics and molecular breeding.

关键词： divergence yellow collective

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Application of Digital Twin technology in the Teaching of Engineering Drawing Course

Application of Digital Twin Technology in the Teaching of En...

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Information science and Education (ICISE-IE), International Conference on

作者： Runfeng Zhang Yuxin Tang Zhenzhong Liu Yanfang Sun Jianguo Wu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China School of Language and Culture Tianjin University of Technology Tianjin China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin China

As an advanced technology that integrates virtuality and reality, digital twin technology has shown a wide range of application prospects in various fields. This paper aims to explore the potential application of digital twin technology in the teaching of engineering drawing courses, to improve students' theoretical knowledge and practical ability. By combining digital twin technology with traditional engineering drawing teaching, students can carry out practical operations and simulations in a virtual environment to better understand and apply drawing concepts and principles. Besides, taking the assembly drawing of thread connection as an actual teaching case, the specific application of digital twin technology in theoretical and experimental teaching is explained, respectively. The results show that digital twin technology is conducive to improving students' interest in engineering drawing courses and training students' spatial imagination ability, which is of great significance to reforming drawing courses.

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Boosting weather forecast via generative superensemble

arXiv

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arXiv 2024年

作者： Nai, Congyi Chen, Xi Yang, Shangshang Liang, Yuan Xiao, Ziniu Pan, Baoxiang Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Science Beijing China Institute of Atmospheric Physics Chinese Academy of Science Beijing China School of Engineering and Design Technical University of Munich Munich Germany Potsdam Institute for Climate Impact Research Potsdam Germany TianJi Weather Science and Technology Company Beijing China

Accurate weather forecasting is essential for socioeconomic activities. While data-driven forecasting demonstrates superior predictive capabilities over traditional Numerical Weather Prediction (NWP) with reduced computational demands, its deterministic nature and limited advantages over physics-based ensemble predictions restrict operational applications. We introduce the generative ensemble prediction system (GenEPS) framework to address these limitations by randomizing and mitigating both random errors and systematic biases. GenEPS provides a plug-and-play ensemble forecasting capability for deterministic models to eliminate random errors, while incorporating cross-model integration for cross-model ensembles to address systematic biases. The framework culminates in a superensemble approach utilizing all available data-driven models to further minimize systematic biases. GenEPS achieves an Anomaly Correlation Coefficient (ACC) of 0.679 for 500hPa geopotential (Z500), exceeding the ECMWF Ensemble Prediction system’s (ENS) ACC of 0.646. Integration of the ECMWF ensemble mean further improves the ACC to 0.683. The framework also enhances extreme event representation and produces energy spectra more consistent with ERA5 reanalysis. GenEPS establishes a new paradigm in ensemble forecasting by enabling the integration of multiple data-driven models into a high-performing super-ensemble system. © 2024, CC BY-NC-SA.

关键词： Prediction models

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