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FedAdaSS: Federated Learning with Adaptive Parameter Server Selection Based on Elastic Cloud Resources

Computer Modeling in Engineering & Sciences 2024年第10期141卷 609-629页

作者： Yuwei xu Baokang Zhao huan Zhou Jinshu Su School of Computer National University of Defense TechnologyChangsha410000China

The rapid expansion of artificial intelligence(AI)applications has raised significant concerns about user privacy,prompting the development of privacy-preserving machine learning(ML)paradigms such as federated learning(FL).FL enables the distributed training of ML models,keeping data on local devices and thus addressing the privacy concerns of ***,challenges arise from the heterogeneous nature of mobile client devices,partial engagement of training,and non-independent identically distributed(non-IID)data distribution,leading to performance degradation and optimization objective bias in FL *** the development of 5G/6G networks and the integration of cloud computing edge computing resources,globally distributed cloud computing resources can be effectively utilized to optimize the FL *** the specific parameters of the server through the selection mechanism,it does not increase the monetary cost and reduces the network latency overhead,but also balances the objectives of communication optimization and low engagement mitigation that cannot be achieved simultaneously in a single-server framework of existing *** this paper,we propose the FedAdaSS algorithm,an adaptive parameter server selection mechanism designed to optimize the training efficiency in each round of FL training by selecting the most appropriate server as the parameter *** approach leverages the flexibility of cloud resource computing power,and allows organizers to strategically select servers for data broadcasting and aggregation,thus improving training performance while maintaining cost *** FedAdaSS algorithm estimates the utility of client systems and servers and incorporates an adaptive random reshuffling strategy that selects the optimal server in each round of the training *** analysis confirms the convergence of FedAdaSS under strong convexity and L-smooth assumptions,and comparative experiments within the FLSim framework demonstra

关键词： Machine learning systems federated learning server selection artificial intelligence of things non-IID data

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Effects of Coal Rank and High Organic Sulfur on the Structure and Optical Properties of Coal-based Graphene Quantum Dots

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Acta Geologica Sinica(English Edition) 2018年第3期92卷 1218-1230页

作者： TANG Yuegang huan xuan LAN Chunyuan xu Miaoxin College of geoscience and Surveying Engineering China University of Mining & Technology (Beijing) Beijing 100083 China

Coal-based graphene quantum dots(GQDs) were successfully produced via a one-step chemical synthesis from six different coal ranks, from which two superhigh organic sulfur(SHOS) coals were selected as natural S-doped carbon sources for the preparation of S-doped GQDs. The effects of coal properties on coal-based GQDs were analyzed by means of high-resolution transmission electron microscopy(HRTEM), X-ray diffraction(XRD), Fourier transform infrared(FTIR) spectroscopy, X-ray photoelectron spectroscopy(XPS), ultraviolet-visible(UV-Vis) absorption spectroscopy, and fluorescence emission spectra. It was shown that all coal samples can be used to prepare GQDs, which emit bluegreen and blue fluorescence under ultraviolet light. Anthracite-based GQDs have a hexagonal crystal structure without defects, the largest size, and densely arranged carbon rings in their lamellae; the highrank bituminous coal-based GQDs are relatively reduced in size, with their hexagonal crystal structure being only faintly visible; the low-rank bituminous coal-based GQDs are the smallest, with sparse lattice fringes and visible internal defects. As the metamorphism of raw coals increases, the yield decreases and the fluorescence quantum yield(QY) initially increases and then decreases. Additionally, the surface of GQDs that were prepared using high-rank SHOS coal(high-rank bituminous coal) preserves rich sulfur content even after strong oxidation, which effectively adjusts the bandgap and improves the fluorescence QY. Thus, high-rank bituminous coal with SHOS content can be used as a natural S-doped carbon source to prepare S-doped GQDs, extending the clean utilization of low-grade coal.

关键词： coal graphene quantum dots coal rank organic sulfur China

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Structure, property, biogenesis, and activity of diterpenoid alkaloids containing a sulfonic acid group from Aconitum carmichaelii

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Acta Pharmaceutica Sinica B 2020年第10期10卷 1954-1965页

作者： Qinglan guoy huan Xiay Yuzhuo Wu Shuai Shao Chengbo xu Tiantai Zhang Jiangong Shi State Key Laboratory of Bioactive Substance and Function of Natural Medicines Institute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100050China

Three new C20-diterpenoid alkaloids with a sulfonic acid unit,named aconicarmisulfonines B and C(1 and 2)and chuanfusulfonine A(3),respectively,were isolated from the Aconitum carmichaelii lateral roots("fu zi"in Chinese).Structures of 1-3 were determined by spectroscopic data *** chemical properties and reactions were observed for the C20-diterpenoid alkaloids:(a)specific selective nucleophilic addition of the carbonyl(C-12)in 1 with CD3 OD;(b)interconversion between 1 and 2 in D2 O;(c)stereo-and/or regioselective deuterations of H-11αin 1-3 and both H-11αand H-11βin aconicarmisulfonine A(4);(d)TMSP-2,2,3,3-d4 promoted cleavage of the C-12-C-13 bond of 4 in D2 O;(e)dehydrogenation of 4 in pyridine-d5,and(f)Na2 SO3-assisted dehydrogenation and N-deethylation of songorine(5,a putative precursor of 1-4).Biogenetically,1 and 2 are correlated with 4,for which the same novel carbon skeleton is proposed to be derived from semipinacol rearrangements via migrations of C-13-C-16 and C-15-C-16 bonds of the napelline-type skeleton,***,3 is a highly possible precursor or a concurrent product in the biosynthetic pathways of 1,2,and *** the acetic acid-induced mice writhing assay,at 1.0 mg/kg(i.p.),compounds 1,2,5,5 a,and 5 b exhibited analgesic effects against mice writhing.

关键词： Ranunculaceae Aconitum carmichaelii Sulfonated C20-diterpenoid alkaloid Aconicarmisulfonines Chuanfusulfonine A Analgesic effect

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On the Symmetrie Structure of the Field and Atomic Squeezing in the Jaynes-Cummings Model

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Chinese Physics Letters 1996年第2期13卷 97-100页

作者： XIE Riri-hua xu Gong-ou LIU Dun-huan Department of Physics Nanjing UniversityNanjing 210008 Department of Physics Wuhan UniversityWuhan 430072

A symmetric structure of the field and atomic squeezing(SSFAS)have been exposed in the resonant ***-Cummings model when it is restricted to the following initial condition:the atom in its ground state and the field in the superposition of zero and one-photon number *** SSFAS is destroyed due to the non-resonant interaction or the interference between the real-photon processes and virtual-photon processes.

关键词： processes. resonant Cummings

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Analysis of torque transmitting behavior and wheel slip prevention control during regenerative braking for high speed EMU trains

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Acta Mechanica Sinica 2016年第2期32卷 244-251页

作者： Kun xu guo-Qing xu Chun-Hua Zheng Shenzhen Institutes of Advanced Technology Chinese Academy of Sciencesand The Chinese University of Hong Kong Shenzhen College of Advanced Technology University of Chinese Academy of Sciences School of Electronics and Information Tongji University

The wheel-rail adhesion control for regenerative braking systems of high speed electric multiple unit trains is crucial to maintaining the stability,improving the adhesion utilization,and achieving deep energy *** remain technical challenges mainly because of the nonlinear,uncertain,and varying features of wheel-rail contact *** research analyzes the torque transmitting behavior during regenerative braking,and proposes a novel methodology to detect the wheel-rail adhesion ***,applications to the wheel slip prevention during braking are investigated,and the optimal slip ratio control scheme is proposed,which is based on a novel optimal reference generation of the slip ratio and a robust sliding mode *** proposed methodology achieves the optimal braking *** simulation results for uncertain slippery rails verify the effectiveness of the proposed methodology.

关键词： High speed electric multiple unit(EMU) train Regenerative braking Wheel-rail adhesion Optimal slip ratio

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Seismic resilient shear wall structures:A state-of-the-art review

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Science China(Technological Sciences) 2023年第6期66卷 1640-1661页

作者： xu Gang guo Tong LI AiQun Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education Southeast UniversityNanjing 211189China Multi-Functional Shaking Tables Laboratory Beijing University of Civil Engineering and ArchitectureBeijing 100044China

The ductile design principle has been widely adopted in seismic design of structures,so the main structural components are designed to have the dual functions of bearing and energy dissipation under the *** recent years,the intensity of major earthquakes occurred in China,Chile,New Zealand,and Japan had reached or exceeded the design level of the maximum credible *** most cases,the designed structures did not collapse and the casualties were ***,many structures were seriously damaged and must be overhauled or rebuilt,resulting in huge economic ***,researchers have paid more attention to the seismic resilient *** shear wall can provide an efficient lateral force resisting capacity and has a wide range of applications in building *** review firstly summarized the research advances of seismic resilient shear wall structures,mainly from three aspects:high-performance materials,replaceable components,and hybrid structural systems;then,the development of seismic performance analysis,design methods,and engineering applications of seismic resilient shear wall structures were presented;finally,the key issues that need to be explored in the future research were discussed,which was helpful for the wide application of seismic resilient shear wall structures.

关键词： seismic resilience shear wall self-centering structure seismic design engineering application

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A General Simulation Method for Complex Deformation of Irregular-Shaped Origami Configurations

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Acta Mechanica Solida Sinica 2024年第1期37卷 90-98页

作者： Zhaochen Dong Yichao Zhu xu guo State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsInternational Research Center for Computational MechanicsDalian University of TechnologyDalian 116023China

Most existing treatments for origami-folding simulations have focused on regular-shaped *** article aims to introduce a general strategy for simulating and analyzing the deformation process of irregular shapes by means of computational capabilities *** better simulate origami deformation with folding orders,the concept of plane follow-up is introduced to achieve automated computer simulation of complex folding patterns,thereby avoiding intersection and penetration between *** on the evaluation criteria such as the lowest storage energy with tightening and the fastest pace from tightening to unfolding,the optimal crease distribution patterns for four irregular(‘N’-,‘T’-,‘O’-,and‘P’-shaped)origami configurations are then presented under five *** the dimensions of the origami are fixed,it is discovered that simpler folding patterns lead to faster deformation of the origami *** the folding complexity is fixed,higher strain energy results in more rapid origami expansion.

关键词： Irregular-shaped origami Complex deformation Computer-aided origami design General simulation

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Attitude Tracking Control for Rigid Spacecraft with Arbitrary Convergence Time

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Journal of Systems Science & Complexity 2024年第6期37卷 2579-2594页

作者： xu Yu-Tian WU Ai-guo Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology (Shenzhen) Key University Laboratory of Mechanism &Machine Theory and Intelligent Unmanned Systems of Guangdong Harbin Institute of Technology (Shenzhen) Department of Automation Harbin Institute of Technology (Shenzhen) HIT Wuhu Robot Technology Research Institute

In this paper, attitude tracking control with arbitrary convergence time for rigid spacecraft is considered. First, a novel time-varying sliding function is proposed to achieve free-will arbitrary time convergence when the system states reside on the sliding surface. With such a sliding function, an attitude tracking controller is designed to guarantee that the states of the closed-loop system converge to the sliding surface within a predetermined time in the presence of external disturbances. The free-will arbitrary time convergences of the closed-loop system and sliding function are illustrated by numerical simulations.

关键词： Attitude tracking free-will arbitrary time stability rigid spacecraft sliding mode control

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Regression Function Comparison for Paired Data

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Journal of Systems Science & Complexity 2020年第5期33卷 1558-1570页

作者： guo xu ZHANG Jun FANG Yun School of Statistics Beijing Normal UniversityBeijing 100875China College of Mathematics and Statistics Shenzhen UniversityShenzhen 518060China Department of Mathematics Shanghai Normal UniversityShanghai 200234China

In this paper,the regression function comparison for paired data is *** proposed test statistic is based on the weighted integral of characteristic function marked by the difference of *** are several merits of the proposed *** instance,it takes a simple V-statistic *** bandwidth is *** moment conditions are required for *** can be applied to covariates of any fixed *** asymptotic results are also *** is proven that n times the proposed test statistic converges to a finite limit under the null hypothesis and the test is consistent against any fixed *** alternative hypotheses which converge to the null hypothesis at the rate of n-1/2 are also detected.A suitable Bootstrap algorithm is also proposed for the implementation of the proposed test *** studies are carried out to illustrate the merits of the proposed method.A real data example is also used to illustrate the proposed testing procedures.

关键词： Bootstrap characteristic function paired data regression function comparison V-statistic

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Dynamic neighborhood genetic learning particle swarm optimization for high-power-density electric propulsion motor

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Chinese Journal of Aeronautics 2022年第12期35卷 253-265页

作者： Jinquan xu Huapeng LIN Hong guo School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Ningbo Institute of Technology Beihang UniversityNingbo 315800China

To maximize the power density of the electric propulsion motor in aerospace application,this paper proposes a novel Dynamic Neighborhood Genetic Learning Particle Swarm Optimization(DNGL-PSO)for the motor design,which can deal with the insufficient population diversity and non-global optimal solution *** DNGL-PSO framework is composed of the dynamic neighborhood module and the particle update *** improve the population diversity,the dynamic neighborhood strategy is first proposed,which combines the local neighborhood exemplar generation mechanism and the shuffling *** local neighborhood exemplar generation mechanism enlarges the search range of the algorithm in the solution space,thus obtaining highquality ***,when the global optimal solution cannot update its fitness value,the shuffling mechanism module is triggered to dynamically change the local neighborhood *** roulette wheel selection operator is introduced into the shuffling mechanism to ensure that particles with larger fitness value are selected with a higher probability and remain in the local ***,the global learning based particle update approach is proposed,which can achieve a good balance between the expansion of the search range in the early stage and the acceleration of local convergence in the later ***,the optimization design of the electric propulsion motor is conducted to verify the effectiveness of the proposed *** simulation results show that the proposed DNGL-PSO has excellent adaptability,optimization efficiency and global optimization capability,while the optimized electric propulsion motor has a high power density of 5.207 kW/kg with the efficiency of 96.12%.

关键词： Dynamic Neighborhood Genetic Learning Particle Swarm Optimization(DNGL-PSO) Permanent magnet synchronous motor Power density Efficiency of motor Electric propulsion motor

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