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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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Research on dynamic robust visual SLAM method based on deep learning 2

Research on dynamic robust visual SLAM method based on deep ...

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2nd International Conference on Informatics, Networking, and Computing, ICINC 2023

作者： Zhong, Xuanhui Pu, Qian Chai, Hui Guo, Min College of Mechanical Electronical and Engineering Wuhan University of Technology Wuhan China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing China School of Control Science and Engineering Shandong University Ji’nan China

ISBN: (纸本)9781510674745

Visual simultaneous localisation and mapping is a fundamental technology in autonomous mobile robotic systems. The presence of dynamic objects in the environment can lead to incorrect feature matching, and factors such as fluctuating external lighting conditions can introduce instability to the system, thus limiting the practical application of VSLAM. In this paper, a robust VSLAM system for dynamic environments is proposed. Based on ORB-SLAM2, we use YOLO5 to enhance the consistency of the front-end combined with optical flow motion detection to detect dynamic targets in the environment and reject their feature points. Superpoint replaces ORB in the feature extraction process, which further enhances the adaptability of the system to the instability of the external environment. From the experimental results, it can be seen that the improved VSLAM, the real motion trajectory is extremely close to the estimated trajectory, and the error is greatly reduced. © 2024 SPIE.

关键词： Feature extraction

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Vehicle recognition and tracking based on simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm

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High Technology Letters 2023年第2期29卷 113-121页

作者：王伟峰 YANG Bo LIU Hanfei QIN Xuebin School of Safety Science and Engineering Xi’an University of Science and TechnologyXi’an 710054P.R.China School of Electrical and Control Engineering Xi’an University of Science and TechnologyXi’an 710054P.R.China

Target recognition and tracking is an important research filed in the surveillance *** target recognition and tracking is to track moving objects, however, for the detected moving objects the specific content can not be *** this paper, a multi-target vehicle recognition and tracking algorithm based on YOLO v5 network architecture is *** specific content of moving objects are identified by the network architecture, furthermore, the simulated annealing chaotic mechanism is embedded in particle swarm optimization-Gauss particle filter *** proposed simulated annealing chaotic particle swarm optimization-Gauss particle filter algorithm(SA-CPSO-GPF) is used to track moving *** experiment shows that the algorithm has a good tracking effect for the vehicle in the monitoring *** root mean square error(RMSE), running time and accuracy of the proposed method are superior to traditional *** proposed algorithm has very good application value.

关键词： vehicle recognition target tracking annealing chaotic particle swarm Gauss particle filter(GPF)algorithm

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Air target recognition method against ISRJ for radio frequency proximity sensors using chaotic stream encryption

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Defence Technology（防务技术） 2023年第10期28卷 267-279页

作者： Jian-feng Li Jian Dai Xin-hong Hao Xiao-peng Yan Xin-wei Wang Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081China BIT Tangshan Research Institute Beijing100081China

The interrupted-sampling repeater jamming(ISRJ)can cause false targets to the radio-frequency proximity sensors(RFPSs),resulting in a serious decline in the target detection capability of the *** article proposes a recognition method for RFPSs to identify the false targets caused by *** proposed method is realized by assigning a unique identity(ID)to each RFPS,and each ID is a periodically and chaotically encrypted in every pulse *** processing technique of the received signal is divided into ranging and ID *** the ranging part,a high-resolution range profile(HRRP)can be obtained by performing pulse compression with the binary chaotic *** suppress the noise,the singular value decomposition(SVD)is applied in the *** ID decryption,targets and ISRJ can be recognized through the encryption and decryption processes,which are controlled by random *** adaptability analysis conducted in terms of the peak-to-side lobe ratio(PSLR)and bit error rate(BER)indicates that the proposed method performs well within a 70-k Hz Doppler shift.A simulation and experimental results show that the proposed method achieves extremely stable target and ISRJ recognition accuracies at different signal-to-noise ratios(SNRs)and jamming-to-signal ratios(JSRs).

关键词： Interrupted-sampling repeater jamming(ISRJ) Radio frequency proximity sensors(RFPS) Chaotic stream encryption Air target recognition Identity(ID)decryption

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Decentralized output-feedback control of triangular large-scale nonlinear impulsive systems with time-varying delays: a gain scaling approach

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science China(Information sciences) 2023年第11期66卷 185-203页

作者： Debao FAN Xianfu ZHANG Weihao PAN Hanfeng LI School of Control Science and Engineering Shandong University

In this study, we investigate the decentralized output-feedback control problem for a class of triangular large-scale nonlinear impulsive systems(TLSNISs) with time-varying delays. Unlike existing design approaches in impulsive systems, a gain scaling approach is proposed for the first time to counteract the structural uncertainties of interconnected nonlinearities. Specifically, by fully exploiting the static gain, novel delay-independent impulsive observers are delicately constructed to estimate the unavailable states. Furthermore, the undesirable effects of time-varying delays and impulsive disturbances are eliminated using the comparison principle and average impulsive interval technique. The designed gain-scaling-based decentralized output-feedback controllers have concise linear-like forms and are independent of time delays. Moreover,by strengthening the gain scaling mechanism, we further develop an improved control scheme that endows the controllers with the capability to tolerate unknown external disturbances, thus improving its *** is shown that the system states converge exponentially to the origin in the disturbance-free case with the designed controllers(or to an adjustable neighborhood of the origin in the presence of disturbance). Finally,two examples, including an engineering system design example, are provided to demonstrate the effectiveness of the designed controllers for both lower TLSNISs and upper TLSNISs.

关键词： triangular large-scale systems nonlinear impulsive systems time-varying delay output feedback gain scaling approach

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Cost-aware cloud workflow scheduling using DRL and simulated annealing

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Digital Communications and Networks 2024年第6期10卷 1590-1599页

作者： Yan Gu Feng Cheng Lijie Yang Junhui Xu Xiaomin Chen Long Cheng School of Control and Computer Engineering North China Electric Power UniversityBeijing 100026China School of Mathematics Southwest Jiaotong UniversityChengdu 610032China Department of Computer Science University of ReadingReading RG66AHUK

Cloud workloads are highly dynamic and complex,making task scheduling in cloud computing a challenging *** several scheduling algorithms have been proposed in recent years,they are mainly designed to handle batch tasks and not well-suited for real-time *** address this issue,researchers have started exploring the use of Deep Reinforcement Learning(DRL).However,the existing models are limited in handling independent tasks and cannot process workflows,which are prevalent in cloud computing and consist of related *** this paper,we propose SA-DQN,a scheduling approach specifically designed for real-time cloud *** approach seamlessly integrates the Simulated Annealing(SA)algorithm and Deep Q-Network(DQN)*** SA algorithm is employed to determine an optimal execution order of subtasks in a cloud server,serving as a crucial feature of the task for the neural network to *** provide a detailed design of our approach and show that SA-DQN outperforms existing algorithms in terms of handling real-time cloud workflows through experimental results.

关键词： Cloud computing Deep reinforcement learning Simulated annealing algorithm Job scheduling Workflow

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Modeling and Experimental Study of an Open Two-Phase Loop Driven by Osmotic Pressure and Capillary Force

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Frontiers in Heat and Mass Transfer 2025年第1期23卷 55-70页

作者： Hanli Bi Zheng Peng Chenpeng Liu Zhichao Jia Guoguang Li Yuandong Guo Hongxing Zhang Jianyin Miao National Key Laboratory of SpacecraftThermal Control Beijing Institute of Spacecraft System EngineeringChina Academy of Space TechnologyBeijing100094China School of Aeronautical Science and Engineering Beihang UniversityBeijing100083China School of Energy and Environment Engineering University of Science and Technology BeijingBeijing100083China

As space technology advances,thermal control systems must effectively collect and dissipate heat from distributed,multi-source *** heat pipe is a highly reliable two-phase heat transfer component,but it has several limitations when addressing multi-source heat *** by the transport and heat dissipation system of plants,large trees achieve stable and efficient liquid supply under the influence of two driving forces:capillary force during transpiration in the leaves(pull)and root pressure generated by osmotic pressure in the roots(push).The root pressure provides an effective liquid supply with a driving force exceeding 2 MPa,far greater than the driving force in conventional capillary-pumped two-phase *** has shown that osmotic heat pipes offer a powerful driving force,and combining osmotic pressure with capillary force has significant ***,this paper designs a multi-evaporator,dual-drive two-phase loop,using both osmotic pressure and capillary force to solve the multi-source heat dissipation ***,a transmembrane water flux model for the osmotic pressure-driven device was established to predict the maximum heat transfer capacity of the dual-drive two-phase ***,an experimental setup for a multi-evaporator“osmotic pressure+capillary force”dual-drive two-phase loop was constructed,capable of transferring at least 235 W of power under a reverse gravity condition of 20 *** study also analyzed the effects of reverse gravity height,heat load distribution among the three evaporators,startup sequence,and varying branch resistances on the performance of the dual-drive two-phase loop.

关键词： Multi-heat sources osmotic pressure two-phase loop dual-drive loop heat pipe

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A weighted fuzzy C-means clustering method for hardness prediction

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Journal of Iron and Steel Research International 2023年第1期30卷 176-191页

作者： Yuan Liu Shi-zhong Wei School of Materials Science and Engineering Henan University of Science and TechnologyLuoyang 471003HenanChina School of Aerospace Engineering Zhengzhou University of AeronauticsZhengzhou 450015HenanChina National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials Henan University of Science and TechnologyLuoyang 471003HenanChina

The hardness prediction model was established by support vector regression(SVR).In order to avoid exaggerating the contribution of very tiny alloying elements,a weighted fuzzy C-means(WFCM)algorithm was proposed for data clustering using improved Mahalanobis distance based on random forest importance values,which could play a full role of important features and avoid clustering center *** samples were divided into two *** top 10 features of each class were selected to form two feature subsets for better performance of the *** dimension and dispersion of features decreased in such feature *** four machine learning algorithms,SVR had the best performance and was chosen to *** hyper-parameters of the SVR model were optimized by particle swarm *** samples in validation set were classified according to minimum distance of sample to clustering centers,and then the SVR model trained by feature subset of corresponding class was used for *** with the feature subset of original data set,the predicted values of model trained by feature subsets of classified samples by WFCM had higher correlation coefficient and lower root mean square *** indicated that WFCM was an effective method to reduce the dispersion of features and improve the accuracy of model.

关键词： Hardness prediction Weighted fuzzy C-means algorithm Feature selection Particle swarm optimization Support vector regression Dispersion reduction

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Thermo-responsive microneedles patch for transdermal drug delivery via squeezing in diabetic foot ulcers

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材料科学技术（英文版） 2025年第2期205卷 299-314页

作者： Xiaotong Wu Dan Xia Tingting Shi Baoe Li Donghui Wang Chunyong Liang Mingdong Dong Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin 300130China Hebei Key Laboratory of Biomaterials and Smart Theranostics School of Health Sciences and Biomedical EngineeringHebei University of TechnologyTianjin 300130China Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin 300130China Hebei Key Laboratory of Biomaterials and Smart Theranostics School of Health Sciences and Biomedical EngineeringHebei University of TechnologyTianjin 300130China Interdisciplinary Nanoscience Center Aarhus UniversityAarhus CDK-8000Denmark

Microneedle(MN)patches could be a promising treatment for diabetic foot ulcers that plague thousands of people *** reducing skin resistance or increasing driving force can accelerate the effi-ciency of transdermal drug delivery with conventional MN patches,it can create toxic chemical residues or require the help of additional ***,a thermo-responsive microneedles patch(TMN)with high biocompatibility without additional equipment is *** TMN consisted of a bilayer mi-croneedles composed of sodium alginate(SA)-g-poly(N-isopropylacrylamide)layer(SA-g-PNIPAM)loaded with sucrose octasulfate sodium salt(SOS)and hyaluronic acid layer and a polycaprolactone/chitosan nanofiber membrane loading with tetracycline hydrochloride(TH)and *** accelerates drug re-lease by extruding the drug through a volumetric phase transition in response to temperature changes,and TH and SOS promote wound healing by inhibiting bacterial growth and promoting vascular regener-ation and epithelial *** results showed that the drug release of TMN was significantly faster,with the drug release rate of more than 80％in the 10th h,and the antibacterial rate of TMN could reach 800％.In addition,TMN had good biocompatibility and good healing effects in vivo,which may be helpful for the design of multifunctional dressings in the future.

关键词： Microneedles patch Thermal response Transdermal drug delivery Diabetic foot ulcers

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Adaptive target and jamming recognition for the pulse doppler radar fuze based on a time-frequency joint feature and an online-updated naive bayesian classifier with minimal risk

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Defence Technology（防务技术） 2022年第3期18卷 457-466页

作者： Jian Dai Xin-hong Hao Ze Li Ping Li Xiao-peng Yan Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081China

This paper considers the problem of target and jamming recognition for the pulse Doppler radar fuze(PDRF).To solve the problem,the matched filter outputs of the PDRF under the action of target and jamming are ***,the frequency entropy and peak-to-peak ratio are extracted from the matched filter output of the PDRF,and the time-frequency joint feature is *** on the time-frequency joint feature,the naive Bayesian classifier(NBC)with minimal risk is established for target and jamming *** improve the adaptability of the proposed method in complex environments,an online update process that adaptively modifies the classifier in the duration of the work of the PDRF is *** experiments show that the PDRF can maintain high recognition accuracy when the signal-to-noise ratio(SNR)decreases and the jamming-to-signal ratio(JSR)***,the applicable analysis shows that he ONBCMR method has low computational complexity and can fully meet the real-time requirements of PDRF.

关键词： Pulse Doppler radar fuze(PDRF) Target and jamming recognition Time-frequency joint feature Online-update naive Bayesian classifier minimal risk(ONBCMR)

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