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Mechanical responses of deep salt caverns under synchronous and asynchronous operation strategies 认领 引用
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作者 Zhenxing Ji Jianfeng Liu +4 位作者 Ken Qin Jinbing Wei Bingbing Liu Jianxiong Yang Yang Wu 《Energy Geoscience》 EI CAS CSCD 2026年第2期60-75,共16页
In China,gas storage in deep salt caverns faces challenges due to high in situ stresses,elevated geothermal temperatures,and the presence of interbedded salt-mudstone formations.These factors lead to heterogeneous def... In China,gas storage in deep salt caverns faces challenges due to high in situ stresses,elevated geothermal temperatures,and the presence of interbedded salt-mudstone formations.These factors lead to heterogeneous deformation and stress concentration,which adversely affect the stability and sealing capacity of salt caverns.To address these issues,this study systematically investigates the differences in the mechanical responses of a dual-cavern system located in a representative deep salt district under synchronous and asynchronous injection-production processes.The impacts of key operating parameters on the long-term deformation evolution of salt caverns under thermo-mechanical coupling are examined,and the effectiveness of the asynchronous operation strategy in optimizing the cavern stability is quantitatively evaluated.The results demonstrate that asynchronous operation significantly enhances the stability of the inter-cavern pillar.Specifically,this strategy disrupts the connection between zones with high stress-to-strength ratios,thereby reducing the risk of coupled failure between the two salt caverns.Furthermore,this strategy improves the distribution of the dilatancy safety factor of the surrounding rocks.Asynchronous operation also performs well in mitigating long-term deformation of the salt caverns,resulting in a lower risk of unilateral pillar instability,reduced cavern roof subsidence,and diminished volume shrinkage.Notably,asynchronous operation can effectively suppress cavern deformation under high-frequency injection-production cycles.Increasing the operating rate and decreasing the minimum pressure result in decelerating and accelerating deformation trends,respectively.Sensitivity analysis identifies the minimum pressure as the primary factor directly controlling cavern deformation,while operating frequency benefits most from the adoption of an asynchronous operation strategy.Overall,the findings of this study are expected to advance the construction and operational optimization of deep salt caverns for gas storage in China. 展开更多
关键词 Deep salt cavern Stability Synchronous operation Asynchronous operation Injection-production operating parameters
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Optimizing the Electromagnetic Wave Absorption Performance of MXene@Sm(OH)3 Across the Ku Band Based on Asynchronous Permittivity Regulation 认领 引用 被引量：1
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作者 Zhixiao Wang Yilin Li +5 位作者 Tao Yang Yanglong Hou Enhui Wang Kang Wang Kuo-Chih Chou Xinmei Hou 《Rare Metals》 SCIE EI CAS CSCD 2026年第1期671-682,共12页
The central challenge in the development of high-performance electromagnetic wave-absorbing materials lies in achieving an optimal balance between impedance matching and attenuation characteristics.This is particularl... The central challenge in the development of high-performance electromagnetic wave-absorbing materials lies in achieving an optimal balance between impedance matching and attenuation characteristics.This is particularly critical for purely dielectric absorbers,where precise tailoring of the real(ε')and imaginary(ε")parts of the complex permittivity is essential for maximizing energy dissipation while minimizing surface reflection.In this work,we propose an innovative asynchronous regulation strategy through the construction of Ti3C2Tx/Sm(OH)3 heterointerfaces with complementary dielectric properties.This approach enables independent tuning of dielectric parameters to decouple and synergistically optimize impedance matching and loss capability.Results demonstrate that the optimized Ti3C2Tx/Sm(OH)3 composite with a mass ratio of 4:1 exhibits exceptional microwave absorption performance.A minimum reflection loss(RLmin)of-54 dB is achieved at 14.6 GHz,along with an ultrawide effective absorption bandwidth(EAB)of 7 GHz(13-20 GHz),at a minimal thickness of only 1.70 mm.The rod-like morphology of Sm(OH)3 mitigates excessive interfacial polarization loss caused by redundant heterogeneous interfaces,contributing to a more efficient and balanced attenuation mechanism.Our findings underscore asynchronous permittivity regulation as an effective and innovative strategy for designing advanced electromagnetic wave absorbers with customized performance metrics. 展开更多
关键词 asynchronous permittivity regulation electromagnetic wave absorption MXene Sm(OH)3
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Short-Term Synchronous and Asynchronous Ambient Noise Tomography in Urban Areas:Application to Karst Investigation 认领 引用 被引量：1
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作者 Ya Liu Jianghai Xia +3 位作者 Bo Guan Chaoqiang Xi Ling Ning Hao Zhang 《Engineering》 SCIE EI CSCD 2025年第5期292-308,共17页
Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imag-ing,significantly impacting geohazard prevention and control.Conventional dense-array studies,how-ever,require simu... Dense-array ambient noise tomography is a powerful tool for achieving high-resolution subsurface imag-ing,significantly impacting geohazard prevention and control.Conventional dense-array studies,how-ever,require simultaneous observations of numerous stations for extensive coverage.To conduct a comprehensive karst feature investigation with limited stations,we designed a new synchronous-asyn-chronous observation system that facilitates dense array observations.We conducted two rounds of asynchronous observations,each lasting approximately 24 h,in combination with synchronous backbone stations.We achieved wide-ranging coverage of the study area utilizing 197 nodal receivers,with an average station spacing of 7 m.The beamforming results revealed distinct variations in the noise source distributions between day and night.We estimated the source strength in the stationary phase zone and used a weighting scheme for stacking the cross-correlation functions(C 1 functions)to suppress the influ-ence of nonuniform noise source distributions.The weights were derived from the similarity coefficients between multicomponent C1functions related to Rayleigh waves.We employed the cross-correlation of C 1 functions(C2methods)to obtain the empirical Green’s functions between asynchronous stations.To eliminate artifacts in C 2 functions from higher-mode surface waves in C1functions,we filtered the C1functions on the basis of different particle motions linked to multimode Rayleigh waves.The dispersion measurements of Rayleigh waves obtained from both the C1and C2functions were utilized in surface wave tomography.The inverted three-dimensional(3D)shear-wave(S-wave)velocity model reveals two significant low-velocity zones at depths ranging from 40 to 60 m,which align well with the karst caves found in the drilling data.The method of short-term synchronous-asynchronous ambient noise tomography shows promise as a cost-effective and efficient approach for urban geohazard investigations. 展开更多
关键词 Seismic interferometry Surface wave tomography Asynchronous ambient noise Geohazards Seismic ambient noise
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3D trajectory reconstruction of moving points based on asynchronous cameras 认领 引用 被引量：1
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作者 Huayu Huang Yang Shang +1 位作者 Banglei Guan Qifeng Yu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2025年第7期197-210,共14页
Photomechanics is a crucial branch of solid mechanics.The localization of point targets constitutes a fundamental problem in optical experimental mechanics,with extensive applications in various missions of unmanned a... Photomechanics is a crucial branch of solid mechanics.The localization of point targets constitutes a fundamental problem in optical experimental mechanics,with extensive applications in various missions of unmanned aerial vehicles.Localizing moving targets is crucial for analyzing their motion characteristics and dynamic properties.Reconstructing the trajectories of points from asynchronous cameras is a significant challenge.It encompasses two coupled sub-problems:Trajectory reconstruction and camera synchronization.Present methods typically address only one of these sub-problems individually.This paper proposes a 3D trajectory reconstruction method for point targets based on asynchronous cameras,simultaneously solving both sub-problems.Firstly,we extend the trajectory intersection method to asynchronous cameras to resolve the limitation of traditional triangulation that requires camera synchronization.Secondly,we develop models for camera temporal information and target motion,based on imaging mechanisms and target dynamics characteristics.The parameters are optimized simultaneously to achieve trajectory reconstruction without accurate time parameters.Thirdly,we optimize the camera rotations alongside the camera time information and target motion parameters,using tighter and more continuous constraints on moving points.The reconstruction accuracy is significantly improved,especially when the camera rotations are inaccurate.Finally,the simulated and real-world experimental results demonstrate the feasibility and accuracy of the proposed method.The real-world results indicate that the proposed algorithm achieved a localization error of 112.95 m at an observation distance range of 15-20 km. 展开更多
关键词 Photomechanics 3D trajectory reconstruction Asynchronous cameras Temporal polynomials Bundle adjustment
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Distributed asynchronous double accelerated optimization for ethylene plant considering delays 认领 引用
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作者 Ting Wang Zhongmei Li Wenli Du 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2025年第2期245-250,共6页
Considering the complexity of plant-wide optimization for large-scale industries, a distributed optimization framework to solve the profit optimization problem in ethylene whole process is proposed. To tackle the dela... Considering the complexity of plant-wide optimization for large-scale industries, a distributed optimization framework to solve the profit optimization problem in ethylene whole process is proposed. To tackle the delays arising from the residence time for materials passing through production units during the process with guaranteed constraint satisfaction, an asynchronous distributed parameter projection algorithm with gradient tracking method is introduced. Besides, the heavy ball momentum and Nesterov momentum are incorporated into the proposed algorithm in order to achieve double acceleration properties. The experimental results show that the proposed asynchronous algorithm can achieve a faster convergence compared with the synchronous algorithm. 展开更多
关键词 Asynchronous distributed optimization Plant-wide optimization Heavy ball Nesterov Inequality constraints
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Blockchain and signcryption enabled asynchronous federated learning framework in fog computing 认领 引用
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作者 Zhou Zhou Youliang Tian +3 位作者 Jinbo Xiong Changgen Peng Jing Li Nan Yang 《Digital Communications and Networks》 SCIE EI CSCD 2025年第2期442-454,共13页
Federated learning combines with fog computing to transform data sharing into model sharing,which solves the issues of data isolation and privacy disclosure in fog computing.However,existing studies focus on centraliz... Federated learning combines with fog computing to transform data sharing into model sharing,which solves the issues of data isolation and privacy disclosure in fog computing.However,existing studies focus on centralized single-layer aggregation federated learning architecture,which lack the consideration of cross-domain and asynchronous robustness of federated learning,and rarely integrate verification mechanisms from the perspective of incentives.To address the above challenges,we propose a Blockchain and Signcryption enabled Asynchronous Federated Learning(BSAFL)framework based on dual aggregation for cross-domain scenarios.In particular,we first design two types of signcryption schemes to secure the interaction and access control of collaborative learning between domains.Second,we construct a differential privacy approach that adaptively adjusts privacy budgets to ensure data privacy and local models'availability of intra-domain user.Furthermore,we propose an asynchronous aggregation solution that incorporates consensus verification and elastic participation using blockchain.Finally,security analysis demonstrates the security and privacy effectiveness of BSAFL,and the evaluation on real datasets further validates the high model accuracy and performance of BSAFL. 展开更多
关键词 Blockchain Signcryption Federated learning Asynchronous Fog computing
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Asynchronously fault detection for flight vehicles with unstable modes via MDLF and MDADT method 认领 引用
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作者 Sheng Luo Xin Liu +2 位作者 Yanfei Cheng Shiyu Shuai Haoyu Cheng 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2025年第7期417-436,共20页
This research focuses on detecting faults in flight vehicles with unstable subsystems operating asynchronously.By accounting for asynchronous switching,a switched model is established,and filters for fault detection(F... This research focuses on detecting faults in flight vehicles with unstable subsystems operating asynchronously.By accounting for asynchronous switching,a switched model is established,and filters for fault detection(FD)in unstable subsystems are developed.The FD challenge is then transformed into an H∞filtering issue.Utilizing the multiple discontinuous Lyapunov function(MDLF)approach and the mode-dependent average dwell time(MDADT)method,sufficient conditions are derived to ensure stability during both fast and slow switching.Furthermore,the existence and solutions for FD filters are provided through linear matrix inequalities(LMIs).The simulation outcomes demonstrated the excellent performance of the developed method in studied cases. 展开更多
关键词 Fault detection Asynchronous switching H∞filtering Multiple discontinuous lyapunov function Mode-dependent average dwell time Linear matrix inequalities(LMIs)
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An Asynchronous Genetic Algorithm for Multi-agent Path Planning Inspired by Biomimicry 认领 引用
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作者 Bin Liu Shikai Jin +3 位作者 Yuzhu Li Zhuo Wang Donglai Zhao Wenjie Ge 《Journal of Bionic Engineering》 SCIE EI CSCD 2025年第2期851-865,共15页
To address the shortcomings of traditional Genetic Algorithm (GA) in multi-agent path planning, such as prolonged planning time, slow convergence, and solution instability, this paper proposes an Asynchronous Genetic ... To address the shortcomings of traditional Genetic Algorithm (GA) in multi-agent path planning, such as prolonged planning time, slow convergence, and solution instability, this paper proposes an Asynchronous Genetic Algorithm (AGA) to solve multi-agent path planning problems effectively. To enhance the real-time performance and computational efficiency of Multi-Agent Systems (MAS) in path planning, the AGA incorporates an Equal-Size Clustering Algorithm (ESCA) based on the K-means clustering method. The ESCA divides the primary task evenly into a series of subtasks, thereby reducing the gene length in the subsequent GA process. The algorithm then employs GA to solve each subtask sequentially. To evaluate the effectiveness of the proposed method, a simulation program was designed to perform path planning for 100 trajectories, and the results were compared with those of State-Of-The-Art (SOTA) methods. The simulation results demonstrate that, although the solutions provided by AGA are suboptimal, it exhibits significant advantages in terms of execution speed and solution stability compared to other algorithms. 展开更多
关键词 Multi-agent path planning Asynchronous genetic algorithm Equal-size clustering Genetic algorithm
Adaptive Waiting Time Asynchronous Federated Learning in Edge Computing 认领 引用
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作者 Cui Taiping Liu Wenhao +2 位作者 Shen Bin Huang Xiaoge Chen Qianbin 《China Communications》 SCIE EI CSCD 2025年第9期368-385,共18页
Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic sys-tems.However,synchronous federated learning is in-efficient in terms of ... Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic sys-tems.However,synchronous federated learning is in-efficient in terms of time and convergence speed,mak-ing it unsuitable for high real-time requirements.To address these issues,this paper proposes an Adap-tive Waiting time Asynchronous Federated Learn-ing(AWTAFL)based on Dueling Double Deep Q-Network(D3QN).The server dynamically adjusts the waiting time using the D3QN algorithm based on the current task progress and energy consumption,aim-ing to accelerate convergence and save energy.Addi-tionally,this paper presents a new federated learning global aggregation scheme,where the central server performs weighted aggregation based on the freshness and contribution of client parameters.Experimen-tal simulations demonstrate that the proposed algo-rithm significantly reduces the convergence time while ensuring model quality and effectively reducing en-ergy consumption in asynchronous federated learning.Furthermore,the improved global aggregation update method enhances training stability and reduces oscil-lations in the global model convergence. 展开更多
关键词 adaptive waiting time asynchronous federated learning D3QN edge computing
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Selective flocculation-flotation of ultrafine hematite from clay minerals under asynchronous flocculation regulation 认领 引用 被引量：7
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作者 Fusheng Niu Yuying Chen +2 位作者 Jinxia Zhang Fei Liu Ziye Wang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2024年第11期1563-1574,共12页
The clay mineral flocculation encapsulation poses a major technical challenge in the field of fine mineral separation.Enhancing the ability to separate clay minerals from target mineral surfaces is key to addressing t... The clay mineral flocculation encapsulation poses a major technical challenge in the field of fine mineral separation.Enhancing the ability to separate clay minerals from target mineral surfaces is key to addressing this issue.In the flotation process of ultrafine hematite,sodium polyacrylate(PAAS)was used as a selective flocculant for hematite,polyaluminum chloride(PAC)as a flocculant for kaolinite and chlorite,and sodium oleate(NaOL)as the collector to achieve asynchronous flocculation flotation.This study examines the flotation separation performance and validates it through experiments on actual mineral samples.The results indicate that with PAAS and PAC dosages of 1.25 and 50 mg·L-1,respectively,the iron grade and recovery of the actual mineral samples increased by 9.39%and 7.97%.Through Zeta potential,XPS analysis,infrared spectroscopy,and total organic carbon(TOC)testing,the study reveals the microscopic interaction mechanisms of different flocculants with minerals,providing insights for the clean and efficient utilization of ultrafine mineral resources. 展开更多
关键词 Chlorite Hematite Kaolinite Ultrafine particles Asynchronous flocculation
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A complex pattern of post-divergence expansion, contraction, introgression, and asynchronous responses to Pleistocene climate changes in two Dipelta sister species from western China 认领 引用 被引量：6
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作者 Bin Tian Yi Fu +4 位作者 Richard I.Milne Kang-Shan Mao Yong-Shuai Sun Xiang-Guang Ma Hang Sun 《Journal of Systematics and Evolution》 SCIE CAS CSCD 2020年第3期247-262,共16页
The well-known vicariance and dispersal models dorinate in understanding the allopatric pattern for related species and presume the simultaneous occurrence of speciation and biogeographic events.However,the formation ... The well-known vicariance and dispersal models dorinate in understanding the allopatric pattern for related species and presume the simultaneous occurrence of speciation and biogeographic events.However,the formation of allopatry could postdate the species divergence.We examined this hypothesis using DNA sequence data from three chloroplast fragments and five nuclear loci of Dipelta floribunda Maxim.and D.yunnanensis Franch,two shrub species with the circum Sichuan Basin distribution,combining the climatic niche modeling approach.The best-ft model supported by the approximate Bayesian computation analysis indicated that D.floribunda and D.yunnanensis diverged during the mid Pleistocene period,consistent with the largest glacial period in the Qinghai-Tibet Plateau.The historically interspecific gene flow was identified,but seemed to have ceased after the last interglacial period,when the range of D.floribunda moved northward from the south of the Sichuan Basin.Furthermore,populations of D.floribunda had expanded obviously in the north of the Sichuan Basin after the last glacial maximum(LGM).Relatively,the range of D.yunnanensis expanded before the LGM,and reduced during the post-LGM especially in the north of the Sichuan Basin,reflecting the asynchronous responses of related species to contemporary climate changes.Our results suggested that complex topography should be considered in understanding distributional patterns,even for closely related species and their demographic responses. 展开更多
关键词 alopatric pattern asynchronous demographic response hABC introgression Pleistocene climate change Sichuan Basin
Sampled-Data Asynchronous Fuzzy Output Feedback Control for Active Suspension Systems in Restricted Frequency Domain 认领 引用 被引量：8
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作者 Wenfeng Li Zhengchao Xie +2 位作者 Yucong Cao Pak Kin Wong Jing Zhao 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2021年第5期1052-1066,共15页
This paper proposes a novel sampled-data asynchronous fuzzy output feedback control approach for active suspension systems in restricted frequency domain.In order to better investigate uncertain suspension dynamics,th... This paper proposes a novel sampled-data asynchronous fuzzy output feedback control approach for active suspension systems in restricted frequency domain.In order to better investigate uncertain suspension dynamics,the sampleddata Takagi-Sugeno(T-S)fuzzy half-car active suspension(HCAS)system is considered,which is further modelled as a continuous system with an input delay.Firstly,considering that the fuzzy system and the fuzzy controller cannot share the identical premises due to the existence of input delay,a reconstructed method is employed to synchronize the time scales of membership functions between the fuzzy controller and the fuzzy system.Secondly,since external disturbances often belong to a restricted frequency range,a finite frequency control criterion is presented for control synthesis to reduce conservatism.Thirdly,given a full information of state variables is hardly available in practical suspension systems,a two-stage method is proposed to calculate the static output feedback control gains.Moreover,an iterative algorithm is proposed to compute the optimum solution.Finally,numerical simulations verify the effectiveness of the proposed controllers. 展开更多
关键词 Active suspension asynchronous constraints output feedback restricted frequency domain sampled-data control Takagi-Sugeno(T-S)fuzzy
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Towards asynchronous federated learning for heterogeneous edge-powered internet of things 认领 引用 被引量：10
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作者 Zheyi Chen Weixian Liao +2 位作者 Kun Hua Chao Lu Wei Yu 《Digital Communications and Networks》 SCIE EI CSCD 2021年第3期317-326,共10页
The advancement of the Internet of Things(IoT)brings new opportunities for collecting real-time data and deploying machine learning models.Nonetheless,an individual IoT device may not have adequate computing resources... The advancement of the Internet of Things(IoT)brings new opportunities for collecting real-time data and deploying machine learning models.Nonetheless,an individual IoT device may not have adequate computing resources to train and deploy an entire learning model.At the same time,transmitting continuous real-time data to a central server with high computing resource incurs enormous communication costs and raises issues in data security and privacy.Federated learning,a distributed machine learning framework,is a promising solution to train machine learning models with resource-limited devices and edge servers.Yet,the majority of existing works assume an impractically synchronous parameter update manner with homogeneous IoT nodes under stable communication connections.In this paper,we develop an asynchronous federated learning scheme to improve training efficiency for heterogeneous IoT devices under unstable communication network.Particularly,we formulate an asynchronous federated learning model and develop a lightweight node selection algorithm to carry out learning tasks effectively.The proposed algorithm iteratively selects heterogeneous IoT nodes to participate in the global learning aggregation while considering their local computing resource and communication condition.Extensive experimental results demonstrate that our proposed asynchronous federated learning scheme outperforms the state-of-the-art schemes in various settings on independent and identically distributed(i.i.d.)and non-i.i.d.data distribution. 展开更多
关键词 Asynchronous federated learning Internet of Things(IoT) Mobile edge computing
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Privacy Preserving Solution for the Asynchronous Localization of Underwater Sensor Networks 认领 引用 被引量：12
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作者 Haiyan Zhao Jing Yan +1 位作者 Xiaoyuan Luo Xinping Guan 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第6期1511-1527,共17页
Location estimation of underwater sensor networks(USNs)has become a critical technology,due to its fundamental role in the sensing,communication and control of ocean volume.However,the asynchronous clock,security atta... Location estimation of underwater sensor networks(USNs)has become a critical technology,due to its fundamental role in the sensing,communication and control of ocean volume.However,the asynchronous clock,security attack and mobility characteristics of underwater environment make localization much more challenging as compared with terrestrial sensor networks.This paper is concerned with a privacy-preserving asynchronous localization issue for USNs.Particularly,a hybrid network architecture that includes surface buoys,anchor nodes,active sensor nodes and ordinary sensor nodes is constructed.Then,an asynchronous localization protocol is provided,through which two privacy-preserving localization algorithms are designed to estimate the locations of active and ordinary sensor nodes.It is worth mentioning that,the proposed localization algorithms reveal disguised positions to the network,while they do not adopt any homomorphic encryption technique.More importantly,they can eliminate the effect of asynchronous clock,i.e.,clock skew and offset.The performance analyses for the privacy-preserving asynchronous localization algorithms are also presented.Finally,simulation and experiment results reveal that the proposed localization approach can avoid the leakage of position information,while the location accuracy can be significantly enhanced as compared with the other works. 展开更多
关键词 Asynchronous clock localization privacy preservation underwater sensor networks(USNs)
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Bioinspired Multi-material Polyjet-printed Frog Robot for Synchronous and Asynchronous Swimming 认领 引用 被引量：3
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作者 Afaque Manzoor Soomro Jae-Wook Lee +3 位作者 Fida Hussain Memon Faheem Ahmed Kashif Hussain Kyung Hyun Choi 《Journal of Bionic Engineering》 SCIE EI CSCD 2023年第3期923-933,共11页
This paper proposes the bioinspired soft frog robot. All printing technology was used for the fabrication of the robot. Polyjet printing was used to print the front and back limbs, while ultrathin filament was used to... This paper proposes the bioinspired soft frog robot. All printing technology was used for the fabrication of the robot. Polyjet printing was used to print the front and back limbs, while ultrathin filament was used to print the body of the robot, which makes it a complete soft swimming robot. Dual thrust generation approach has been proposed by embedding the main muscle and antagonistic muscle in all the limbs, which enables it to attain high speed (18 mm/s), significant control to swim in dual mode (synchronous and asynchronous modes). To achieve the swimming motion of frog, four SMA (BMF 300) muscle wires were used. The frog robot is named as (FROBOT). The hind limbs are 60 mm long and 10 mm thick on average, while the front limbs are 35 mm long and 7 mm thick. Model-based design and rigorous analysis of the dynamics of real frogs have allowed FROBOT to be developed to swim at a level that is remarkably consistent with real frogs. Electrical and mechanical characteristics have been performed. In addition, the test data were further processed using TRACKER to analyze angle, displacement and velocity. FROBOT (weighs 65 g) can swim at different controllable frequencies (0.5–2 Hz), can rotate in any direction on command from custom built LabVIEW software allowing it to swim with speed up to 18 mm/s on deep water surface (100 cm) with excellent weight balance. 展开更多
关键词 Bioinspired Soft robotics Frog FROBOT Asynchronous swimming
DAG-based swarm learning:A secure asynchronous learning framework for Internet of Vehicles 认领 引用 被引量：3
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作者 Xiaoge Huang Hongbo Yin +2 位作者 Qianbin Chen Yu Zeng Jianfeng Yao 《Digital Communications and Networks》 SCIE CSCD 2024年第6期1611-1621,共11页
To provide diversified services in the intelligent transportation systems,smart vehicles will generate unprecedented amounts of data every day.Due to data security and user privacy issues,Federated Learning(FL)is cons... To provide diversified services in the intelligent transportation systems,smart vehicles will generate unprecedented amounts of data every day.Due to data security and user privacy issues,Federated Learning(FL)is considered a potential solution to ensure privacy-preserving in data sharing.However,there are still many challenges to applying the traditional synchronous FL directly in the Internet of Vehicles(Io V),such as unreliable communications and malicious attacks.In this paper,we propose a Directed Acyclic Graph(DAG)based Swarm Learning(DSL),which integrates edge computing,FL,and blockchain technologies to provide secure data sharing and model training in Io Vs.To deal with the high mobility of vehicles,the dynamic vehicle association algorithm is introduced,which could optimize the connections between vehicles and road side units to improve the training efficiency.Moreover,to enhance the anti-attack property of the DSL algorithm,a malicious attack detection method is adopted,which could recognize malicious vehicles by the site confirmation rate.Furthermore,an accuracy-based reward mechanism is developed to promote vehicles to participate in the model training with honest behaviors.Finally,simulation results demonstrate that the proposed DSL algorithm could achieve better performance in terms of model accuracy,convergence rates and security compared with existing algorithms. 展开更多
关键词 Direct acyclic graph Internet of Vehicles Swarm learning Asynchronous learning
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Effect of Asynchronous Adjustments of Clamping Cylinders on Triangular Crack of Slab Castings Under Application of Soft Reduction 认领 引用 被引量：3
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作者 LIU Ke CHANG Yun-he +1 位作者 HAN Zhan-guang ZHANG Jia-quan 《Journal of Iron and Steel Research International》 SCIE CAS CSCD 2013年第2期38-47,共10页
Soft reduction is known to be one of the best ways to improve the internal quality of slab castings such as center segregation, center porosity, centerline or triangular zone cracks, which is based on a proper adoptio... Soft reduction is known to be one of the best ways to improve the internal quality of slab castings such as center segregation, center porosity, centerline or triangular zone cracks, which is based on a proper adoption of the amount of reduction upon the given final solidification zone through roll gap adjustments. The synchronization of the clamping cylinders for roll gap adjustments should be very important to the application of soft reduction, including the synchronization of the clamping cylinders adjustments in the same and different segments. The synchronization of clamping cylinders adjustments is mainly affected by the adjustable accuracy of the four position-controlled clamping cylinders mounted in the upper frames of the segments according to a predetermined transformation relationship between the signals of displacement sensors and aimed roll gap, which, however, is also influenced by the installation accuracy, the precision of displacement sensors, the deformation of the segment frames and/or its bearing pedestals. Due to the actual asynchronous adjustments of the four clamping cylinders, the dynamic soft reduction operation is normally applied at non-ideal mechanical conditions. Here 7 possible situations of asynchronous adjustments of the local segments which may induce gap deviation have been presented. The roll gap deviation in the soft reduction region of a slab casting has been studied by a 3-D visco-elastic plastic FEM model, through which the additional inter-roll bulging, the related triangular cracks induced by one kind of the possible asynchronous adjustment situation and the effectiveness of soft reduction have been analyzed. A critical tolerance for the gap adjustments has been proposed for better contribution of soft reduction to the internal quality of slabs. 展开更多
关键词 slab casting soft reduction clamping cylinder asynchronous adiustment
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Resource saving based dwell time allocation and detection threshold optimization in an asynchronous distributed phased array radar network 认领 引用 被引量：4
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作者 Haowei ZHANG Weijian LIU Xiao YANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2023年第11期311-327,共17页
The resource optimization plays an important role in an asynchronous Phased Array Radar Network(PARN)tracking multiple targets with Measurement Origin Uncertainty(MOU),i.e.,considering the false alarms and missed dete... The resource optimization plays an important role in an asynchronous Phased Array Radar Network(PARN)tracking multiple targets with Measurement Origin Uncertainty(MOU),i.e.,considering the false alarms and missed detections.A Joint Dwell Time Allocation and Detection Threshold Optimization(JDTADTO)strategy is proposed for resource saving in this case.The Predicted Conditional Cramér-Rao Lower Bound(PC-CRLB)with Bayesian Detector and Amplitude Information(BD-AI)is derived and adopted as the tracking performance metric.The optimization model is formulated as minimizing the difference between the PC-CRLBs and the tracking precision thresholds under the constraints of upper and lower bounds of dwell time and false alarm ratio.It is shown that the objective function is nonconvex due to the Information Reduction Factor(IRF)brought by the MOU.A cyclic minimizer-based solution is proposed for problem solving.Simulation results confirm the flexibility and robustness of the JDTADTO strategy in both sufficient and insufficient resource scenarios.The results also reveal the effectiveness of the proposed strategy compared with the strategies adopting the BD without detection threshold optimization and amplitude information. 展开更多
关键词 Asynchronous data fusion Bayesian detector Phased Array Radar Network(PARN) Predicted Conditional CramE´R-Rao Lower Bound(PC-CRLB) Resource management
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