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Rydberg-Induced Topological Solitons in Three-Dimensional Rotation Spin–Orbit-Coupled Bose–Einstein Condensates

Chinese Physics Letters 2024年第9期41卷 9-14页

作者： Yang Wang Jinlong Cui Hongkai Zhang Yuan Zhao Siliu Xu Qin Zhou Key Laboratory of Optoelectronic Sensing and Intelligent Control Hubei University of Science and TechnologyXianning 437100China School of Electronic and Information Engineering Hubei University of Science and TechnologyXianning 437100China School of Biomedical Engineering and Imaging Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100China Research Center of Nonlinear Science School of Mathematics and Physical SciencesWuhan Textile UniversityWuhan 430200China

We present a novel approach for generating stable three-dimensional(3D)spatiotemporal solitons(SSs)within a rotating Bose–Einstein condensate,incorporating spin–orbit coupling(SOC),a weakly anharmonic potential and cold Rydberg *** intricate system facilitates the emergence of quasi-stable 3D SSs with topological charges|m|≤3 in two spinor components,potentially exhibiting diverse spatial *** findings reveal that the Rydberg long-range interaction,spin–orbit coupling,and rotational angular frequency exert significant influence on the domains of existence and stability of these ***,the Rydberg interaction contributes to a reduction in the norm of topological solitons,while the SOC plays a key role in stabilizing the SSs with finite topological *** research of SSs exhibits potential applications in precision measurement,quantum information processing,and other advanced technologies.

关键词： Rydberg topological Einstein

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Optimisation of sparse deep autoencoders for dynamic network embedding

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CAAI Transactions on Intelligence technology 2024年第6期9卷 1361-1376页

作者： Huimei Tang Yutao Zhang Lijia Ma Qiuzhen Lin Liping Huang Jianqiang Li Maoguo Gong College of Computer Science and Software Engineering Shenzhen UniversityShenzhenChina Institute for Infocomm Research Agency for Science Technology and ResearchSingaporeSingapore Key Laboratory of Collaborative Intelligence Systems Ministry of EducationXidian UniversityXi'anChina

Network embedding(NE)tries to learn the potential properties of complex networks represented in a low-dimensional feature ***,the existing deep learningbased NE methods are time-consuming as they need to train a dense architecture for deep neural networks with extensive unknown weight parameters.A sparse deep autoencoder(called SPDNE)for dynamic NE is proposed,aiming to learn the network structures while preserving the node evolution with a low computational *** tries to use an optimal sparse architecture to replace the fully connected architecture in the deep autoencoder while maintaining the performance of these models in the dynamic ***,an adaptive simulated algorithm to find the optimal sparse architecture for the deep autoencoder is *** performance of SPDNE over three dynamical NE models(*** architecture-based deep autoencoder method,DynGEM,and ElvDNE)is evaluated on three well-known benchmark networks and five real-world *** experimental results demonstrate that SPDNE can reduce about 70%of weight parameters of the architecture for the deep autoencoder during the training process while preserving the performance of these dynamical NE *** results also show that SPDNE achieves the highest accuracy on 72 out of 96 edge prediction and network reconstruction tasks compared with the state-of-the-art dynamical NE algorithms.

关键词： deep autoencoder dynamic networks low-dimensional feature space network embedding sparse structure

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AdaPIP: Adaptive picture-in-picture guidance for 360° film watching

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Computational Visual Media 2024年第3期10卷 487-503页

作者： Yi-Xiao Li Guan Luo Yi-Ke Xu Yu He Fang-Lue Zhang Song-Hai Zhang Department of Computer Science and Technology Tsinghua UniversityBeijingChinaand Beijing National Research Center for Information Science and Technology(BNRist)Tsinghua UniversityBeijingChina Key Laboratory of Space Utilization Technology and Engineering Center for Space UtilizationChinese Academy of SciencesBeijingChina Victoria University of Wellington WellingtonNew Zealand

360°videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful *** mitigate this problem,picture-in-picture(PIP)guidance was proposed using preview windows to show regions of interest(ROIs)outside the current view *** identify several drawbacks of this representation and propose a new method for 360° film watching called *** enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and *** addition,AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more *** also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D *** user experiments on 2D screens,as well as in VR environments,indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.

关键词： 360°videos picture-in-picture(PIP) virtual reality(VR) visual guidance

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Exploration of the Application of ChatGPT in Command and Control 9

Exploration of the Application of ChatGPT in Command and Con...

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

作者： Zhou, Guang-Xia Yan, Jing-Jing Nanjing Research Institute of Electronics Engineering Science and Technology on Information Systems Engineering Laboratory Nanjing China

ISBN: (纸本)9798350330076

The formidable content generation capacity exhibited by ChatGPT has catalyzed a novel resurgence in the realm of artificial intelligence applications. Diverse sectors of society are actively delving into the integration of this product within their respective industries to facilitate remarkable advancements, encompassing domains such as Command and Control. This discourse undertakes a concise examination of the evolutionary trajectory of ChatGPT, presents its potential applications within the Command and Control domain, encompassing facets such as document generation, knowledge-based question and answer, intelligence analysis, strategic planning, and battlefield operations control. Moreover, it probes the intricacies encountered in the utilization of ChatGPT as a comprehensive artificial intelligence solution within the ambit of Command and Control, thereby offering a salient reference for the comprehensive exploration and implementation of generative AI technology epitomized by ChatGPT. © 2023 IEEE.

关键词： Feedback

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Multi-timescale feature extraction method of wastewater treatment process based on adaptive entropy

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Chinese Journal of Chemical engineering 2024年第12期76卷 264-271页

作者： Honggui Han Yaqian Zhao Xiaolong Wu Hongyan Yang School of Information Science and Technology Beijing University of TechnologyBeijing 100124China College of Environmental Sciences and Engineering Beijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Digital Community Ministry of EducationBeijing 100124China

In wastewater treatment systems,extracting meaningful features from process data is essential for effective monitoring and ***,the multi-time scale data generated by different sampling frequencies pose a challenge to accurately extract *** solve this issue,a multi-timescale feature extraction method based on adaptive entropy is ***,the expert knowledge graph is constructed by analyzing the characteristics of wastewater components and water quality data,which can illustrate various water quality parameters and the network of relationships among ***,multiscale entropy analysis is used to investigate the inherent multi-timescale patterns of water quality data in depth,which enables us to minimize information loss while uniformly optimizing the ***,we harness partial least squares for feature extraction,resulting in an enhanced representation of sample data and the iterative enhancement of our expert knowledge *** experimental results show that the multi-timescale feature extraction algorithm can enhance the representation of water quality data and improve monitoring capabilities.

关键词： Feature extraction Knowledge graph Wastewater treatment process Adaptive entropy

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Dual-channel tunable multipolarization adapted terahertz spatiotemporal vortices generating device

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光子学研究（英文） 2025年第5期13卷 1408-1418页

作者： FANGZE DENG KE MA YUMENG MA XIANG HOU ZHIHUA HAN YUCHAO LI KEKE CHENG YANSHENG SHAO CHENGLONG WANG MENG LIU HUIYUN ZHANG YUPING ZHANG Qingdao Key Laboratory of Terahertz Technology College of Electronic and Information EngineeringShandong University of Science and TechnologyQingdao 266590China

Spatiotemporal optical vortices(STOVs)exhibit characteristics of transverse orbital angular momentum(OAM)that is perpendicular to the direction of pulse propagation,indicating significant potential for diverse *** this study,we employ vanadium dioxide and photonic crystal plates to design tunable transreflective dual-channel terahertz(THz)spatiotemporal vortex generation devices that possess multipolarization *** the reflection channel,we achieve active tunability of the topological dark lines by utilizing circularly polarized light,based on the topological dark phenomenon,and observe variations in the number of singularities across the parameter space from different observational *** the transmission channel,we generate independent vortex singularities using linearly polarized *** multifunctional terahertz device offers a novel approach for the generation and active tuning of spatiotemporal vortices.

关键词： terahertz device multi adapted dual-channel generating polarization spatiotemporal tunable vortices

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Measuring the gravity potential between two remote sites with CVSTT technique using two hydrogen clocks

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地球空间信息科学学报（英文版） 2024年第5期27卷中插19,1719-1738页

作者： Kuangchao Wu Wen-Bin Shen Xiao Sun Chenghui Cai Ziyu Shen Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Resource and Environment Hubei University of Science and TechnologyXianningChina

According to General Relativity Theory(GRT),by comparing the frequencies between two precise clocks at two different stations,the gravity potential(geopotential)difference between the two stations can be determined due to the gravity frequency shift ***,we conduct a clock-transportation experiment for measuring geopotential differ-ences based on frequency comparisons via satellite links between two remote hydrogen atomic *** on the net frequency shift between the two clocks in two different periods,the geopotential difference between stations of the Beijing 203 Institute laboratory(BIL)and Luojiashan Time-frequency Station(LTS)is *** show that the experimental result deviated from the reference of Earth gravity model EGM2008 result by(38.5±45.9)m in Orthometric Height(OH).The results are consistent with the frequency stabilities of the hydrogen clocks(at the level of 10-15)used in the *** the rapid development of time and frequency science and technology,the approach discussed in this study for measuring the geopotential is prospective and thus,could have broad applications.

关键词： Relativistic geodesy gravity potential atomic clock CVSTT technique ensemble empirical mode decomposition(EEMD)

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Learning label-specific features for decomposition-based multi-class classification

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Frontiers of Computer science 2023年第6期17卷 101-110页

作者： Bin-Bin JIA Jun-Ying LIU Jun-Yi HANG Min-Ling ZHANG College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou 730050China School of Computer Science and Engineering Southeast UniversityNanjing 210096China Key Laboratory of Computer Network and Information Integration(Ministry of Education) Southeast UniversityNanjing 210096China

Multi-class classification can be solved by decomposing it into a set of binary classification problems according to some encoding rules,e.g.,one-vs-one,one-vs-rest,error-correcting output *** works solve these binary classification problems in the original feature space,while it might be suboptimal as different binary classification problems correspond to different positive and negative *** this paper,we propose to learn label-specific features for each decomposed binary classification problem to consider the specific characteristics containing in its positive and negative ***,to generate the label-specific features,clustering analysis is respectively conducted on the positive and negative examples in each decomposed binary data set to discover their inherent information and then label-specific features for one example are obtained by measuring the similarity between it and all cluster *** clearly validate the effectiveness of learning label-specific features for decomposition-based multi-class classification.

关键词： machine learning multi-class classification error-correcting output codes label-specific features

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Investigation on the exploding foil initiators ignition enhanced by explosion-electricity coupling

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Defence technology（防务技术） 2024年第12期42卷 1-11页

作者： Songmao Zhao Haotian Jian Ke Wang Zheng Ning Peng Zhu Ruiqi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing210094China Science and Technology on Applied Physical and Chemistry Laboratory Shanxi Applied Physics and Chemistry Research InstituteXi'an710061China Micro-Nano Energetic Devices Key Laboratory Ministry of Industry and Information TechnologyNanjing210094China Xi'an Modern Chemistry Research Institute Xi'an710061China

Explosion-electricity coupling(EEC) is a technical method to induce electric energy into the plasma material produced by explosion to improve the output of *** foil initiator(EFI) which could produce plasma during electric explosion can serve as a good carrier for studying the *** investigate the enhancement ability and mechanism of EEC in EFI ignition performance,a kind of EFI chips which could realize the EEC effect was designed and fabricated to observe the characteristics of current and voltage,flyer and plasma temperature during Boron Potassium Nitrate(BPN) ignition of the *** was found that the EEC could enhance EFI ignition in terms of energy utilization,ignition contact surface,and high-temperature sustainability of plasma:firstly,the EEC prolonged the late time discharge(LTD) phase of the electric explosion,making the energy of capacitor effectively utilized;secondly,the EEC could create a larger area of ignition contact surface;last of all,the EEC effect enhanced its hightemperature sustainability by sustaining continuous energy input to *** also was found that the ignition voltage of BPN could be reduced by nearly 600 V under the condition of 0.4 μF *** research has successfully combined EEC with EFI,revealing the behavioral characteristics of EEC and demonstrating its effective enhancement of EFI *** introduces a new approach to improving EFI output,which is conducive to low-energy ignition of EFI,and expected to take the ignition technology of EFI to a new level.

关键词： Exploding foil initiator Explosion-electricity coupling Plasma Ignition mechanism Boron potassium nitrate

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Coalition Formation Game for Reconnaissance and Attack Task Allocation in Heterogeneous UAV Swarm 11th

Coalition Formation Game for Reconnaissance and Attack Tas...

引用

11th China Conference on Command and Control, C2 2023

作者： Chen, Jiaxin Fang, Tao Li, Qingwei He, Jiafan Xia, Zhijie Mao, Yiming Science and Technology on Information Systems Engineering Laboratory Nanjing210023 China Unit 94860 of PLA Nanjing210008 China

ISBN: (纸本)9789819990207

Unmanned aerial vehicle (UAV) swarm is extensively used in several military applications, e.g., battlefield reconnaissance and attack. In this article, a heterogeneous UAV swarm consisting of the reconnaissance UAVs (RUAVs), unmanned combat aerial vehicles (UCAVs) and reconnaissance combat integrated UAVs (RCIUAVs) is considered. The cooperative reconnaissance and attack task allocation problem is formulated as a coalition formation game (CFG) and the partially cooperative order is proposed. Then, we prove that the formulated CFG is an exact potential game (EPG) which exists the stable coalition partition. The partially cooperative coalition formation algorithm is proposed. The simulation results show the validity of the proposed game model and algorithm. © Chinese Institute of Command and Control 2024.

关键词： Unmanned aerial vehicles (UAV)

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