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Signatures of Environment-Induced Quantum Synchronization Transitions via Two-body Dissipator Engineering 认领 引用
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作者 Xingli Li Yan Li Yangqian Yan 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第2期65-78,共14页
Metronome synchronization and the transition between the in-phase and anti-phase synchronization have been observed in classical systems.We demonstrate the quantum analog of this phenomenon in a two-qubit system coupl... Metronome synchronization and the transition between the in-phase and anti-phase synchronization have been observed in classical systems.We demonstrate the quantum analog of this phenomenon in a two-qubit system coupled to a common environment.Tracing out the environment in the quantum collision model,we obtain an effective master equation with a two-body dissipator for two qubits.Quenching the two-body dissipator,we demonstrate controlled transitions from in-phase to anti-phase synchronization.This synchronization transition is robust against noise.Signatures of the transition are observed through Pearson correlation coefficient measurements obtained via quantum simulations on superconducting circuits.Future experiments employing qutrit systems are expected to yield a more pronounced effect. 展开更多
关键词 environment induced quantum synchronization transitions anti phase synchronization phase synchronization effective master equation controlled transitions metronome synchronization two body dissipator engineering quantum collision modelwe
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Synchronization Control Based on Sequential Convergence 认领 引用
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作者 Huan Li Shuangsi Xue +1 位作者 Hui Cao Dongyu Li 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期743-745,共3页
Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchro... Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchronization challenge where all state components must be synchronized to the origin following a predefined convergence sequence.A controller is proposed to solve the predefined-sequencesynchronized control problem in first-order affine systems,and the proposed controller can regulate the convergence sequence of state components by adjusting their ratios. 展开更多
关键词 system state components regulate convergence first order affine systems controller state components synchronization predefined sequence synchronization convergence sequence
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Bursting synchronization induced by time-delay excitatory or inhibitory autapse in a minimal neuron–astrocyte network 认领 引用
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作者 Liao Yu Wenlong Zhu +1 位作者 Zhuoqin Yang Zehan Luo 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期413-428,共16页
A growing body of research has focused on neuron–astrocyte networks;however,relatively few studies have explored the modulatory role of physiologically relevant time-delayed autapses in such network architectures.In ... A growing body of research has focused on neuron–astrocyte networks;however,relatively few studies have explored the modulatory role of physiologically relevant time-delayed autapses in such network architectures.In this work,we conduct a preliminary investigation into lag synchronization and phase synchronization of bursting for a pyramidal neuron and an interneuron within a neuron–astrocyte network,which are respectively induced by time delays in excitatory and inhibitory autapses.Our results reveal distinct synchronizations under the regulatory effects of the two types of timedelayed autapses.As the time delay of the excitatory autapses varies,neuronal firing transits from synchronization of the initial bursting through chaotic dynamics and back to synchronized bursting.In contrast,under the modulation of timedelayed inhibitory autapses,the two neurons first exhibit synchronized behaviors across diverse bursting patterns,followed by burst desynchronization.The results uncover the differential regulatory mechanisms of excitatory and inhibitory timedelayed autapses on neuronal synchronization,providing critical empirical evidence for understanding autaptic functions in glia-modulated networks.Moreover,this study lays a solid theoretical foundation for future investigations on autaptic effects in more complex neuron–astrocyte networks and enriches the research landscape of neurodynamics and nonlinear dynamics. 展开更多
关键词 astrocyte time-delayed autapse bursting lag synchronization phase synchronization
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Non-reciprocal Synchronization in Thermal Rydberg Ensembles 认领 引用
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作者 Yunlong Xue Zhengyang Bai 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第1期26-30,共5页
Optical non-reciprocity is a fundamental phenomenon in photonics.It is crucial for developing devices that rely on directional signal control,such as optical isolators and circulators.However,most research in this fie... Optical non-reciprocity is a fundamental phenomenon in photonics.It is crucial for developing devices that rely on directional signal control,such as optical isolators and circulators.However,most research in this field has focused on systems in equilibrium or steady states.In this work,we demonstrate a room-temperature Rydberg atomic platform where the unidirectional propagation of light acts as a switch to mediate time-crystalline-like collective oscillations through atomic synchronization. 展开更多
关键词 atomic synchronization non reciprocal synchronization optical non reciprocity optical isolators thermal Rydberg ensembles directional signal controlsuch time crystalline oscillations unidirectional propagation light
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Fixed-Time and Predefined-Time Synchronization of Inertial Memristive Neural Networks With Proportional Delay and Mismatched Switching Jumps via Stochastic Particle Swarm Optimization 认领 引用
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作者 Qiang Lai Jun Wang +1 位作者 Leimin Wang Minghong Qin 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1274-1287,共14页
This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linea... This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients.Based on Filippov solution theory and Lyapunov methods,this work develops an enhanced FxTS criterion delivering a tighter upper bound on convergence time and thereby extending guaranteed fixed-time behavior to a wider range of networks.A refined PTS condition that incorporates additional state-dependent terms accelerates error decay and reduces conservatism during the transient response.Numerical simulations show that the convergence rate of PTS under this strategy is significantly improved.Moreover,an optimization model with minimum control energy and dynamic error as objective functions is proposed to obtain more accurate controller parameters,and the stochastic inertia weight particle swarm optimization(SIWPSO)algorithm is introduced to solve the optimization model.Numerical studies not only validate the theoretical results for both FxTS and PTS but also demonstrate a secure communication application in which the chaos of the IMNNs acts as a masking carrier and enables perfect encryption and decryption of a complex test signal through SIWPSO-optimized FxTS and PTS. 展开更多
关键词 Fixed-time synchronization predefined-time synchronization inertial memristive neural networks proportional delay mismatched switching jumps stochastic particle swarm optimization
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PASSIVITY-BASED SYNCHRONIZATION OF MARKOVIAN JUMP INERTIAL NEURAL NETWORKS VIA ADAPTIVE EVENT-DRIVEN PROTOCOL AND ITS APPLICATION TO IMAGE ENCRYPTION 认领 引用
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作者 A.CHANDRASEKAR Quanxin ZHU +2 位作者 T.RADHIKA M.KAMALI A.R.SUBHASHRI 《Acta Mathematica Scientia》 SCIE CSCD 2026年第3期1555-1580,共26页
This paper concentrates on the study of passivity-based synchronization of inertial neural networks including Markov jump parameters.The second-order differential equations are converted into first-order differential ... This paper concentrates on the study of passivity-based synchronization of inertial neural networks including Markov jump parameters.The second-order differential equations are converted into first-order differential equations using the variable transformation method.To make effective use of network bandwidth resources and to optimize the Markov jump inertial neural networks(MJINNs)performance,an adaptive event-driven protocol controller is studied.To achieve synchronization,an appropriate Lyapunov-Krasovskii functional(LKF)is constructed,which includes double integral terms that capture the information of time-varying delay terms.Some sufficient conditions are obtained in terms of linear matrix inequalities(LMIs)using Reciprocal convex combination lemma(RCCL).Then,a numerical simulation and an application of image encryption are carried out to illustrate the effectiveness of the proposed method. 展开更多
关键词 inertial neural networks adaptive event-driven protocol Markovian jump process synchronization
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Exponential Synchronization of Infinite-Dimensional Stochastic Systems With Poisson Jumps Under Aperiodically Intermittent Impulse Control 认领 引用
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作者 Lili Chen Yiqun Liu +1 位作者 Yanfeng Zhao Zhen Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期383-393,共11页
A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisso... A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisson jumps(ISIDSP).The AIIC control strategy inherits the flexibility of aperiodically intermittent control,including the variable control period,adjustable control interval length,and the discretization of impulsive control.In addition,this article introduces a novel mild Itô's formula.By leveraging semigroup theory,the contraction mapping principle,and graph theory,along with constructing the Lyapunov function,the criterion for the existence and uniqueness of a mild solution of ISIDSP is thereby established.Furthermore,the mean-square exponential synchronization problem of the above systems is resolved,and the constraints within the mild solution domain are alleviated.These criteria clarify the impact of control parameters,control intervals and network topology on ESMS.The theoretical results are subsequently applied to a class of neural networks with reaction-diffusion processes,and the validity of the results is verified using numerical simulations. 展开更多
关键词 Complex network exponential synchronization impulse control infinite dimensional system intermittent control
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Frequency measurement and analysis via different frequency phase synchronization fuzzy region 认领 引用
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作者 DU Baoqiang WANG Xiang YAO Dunzhi 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2026年第2期219-231,共13页
A precise frequency measurement and analysis method utilizing the concept of the different frequency phase synchronization fuzzy region is presented based on the principle of phase synchronization detection.Initially,... A precise frequency measurement and analysis method utilizing the concept of the different frequency phase synchronization fuzzy region is presented based on the principle of phase synchronization detection.Initially,the frequency of the measured signal was roughly estimated by using the traditional high-precision time and frequency detection technology.Subsequently,the frequency estimated was fed into a direct digital synthesizer(DDS)to generate a real-time frequency standard signal that exhibited a slight frequency deviation relative to the measured signal.The edge pulses of the different frequency phase synchronization fuzzy region served as counter switch signals,enabling the counting of both the detected signal and the real-time frequency standard signal within a specified gate time.Through subsequent data processing of the obtained values,the frequency,frequency difference,and frequency accuracy of the detected signal could be determined.Experimental results demonstrate that the system based on this method achieves a frequency stability of 10−13 at 1 s,with a frequency deviation of less than 3 Hz.Compared with traditional frequency measurement and analysis methods,this approach has many advantages,especially its fast response time of less than 1 ms,high measurement accuracy of more than 10−11 at 1 s,high integration with only one FPGA chip,and cost of less than 1000 yuan.It is widely applied in the fields of time and frequency services and security technology of the Beidou satellite(BDS)navigation system,such as BDS pseudo-range measurement,Beidou positioning,navigation and time services,as well as precise time and frequency measurement and control,etc. 展开更多
关键词 different frequency phase synchronization frequency analysis and measurement frequency accuracy phase synchronization fuzzy region frequency stability group period
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Explosive synchronization and hysteresis in FitzHugh–Nagumo neural networks with higher-order interactions 认领 引用 被引量：1
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作者 Wen-Xin Cao Mao-Sheng Wang +2 位作者 Fei Xu Shou-Fang Huang Ji-Qian Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期248-255,共8页
This study investigates the impact of higher-order interactions on explosive synchronization and hysteresis in FitzHugh-Nagumo neural networks.We construct a higher-order network model incorporating pairwise(1-simplex... This study investigates the impact of higher-order interactions on explosive synchronization and hysteresis in FitzHugh-Nagumo neural networks.We construct a higher-order network model incorporating pairwise(1-simplex)and three-body(2-simplex)interactions,along with a nonlinear coupling mechanism inspired by the Rosenzweig-MacArthur model.Using the order parameter and standard deviation as metrics,we analyze synchronization dynamics through numerical simulations.Our results demonstrate that higher-order interactions not only enhance the explosive synchronization but also induce hysteresis,with the hysteresis width growing as higher-order coupling strengthens.Furthermore,increasing noise intensity suppresses the bistability induced by higher-order interactions,ultimately eliminating hysteresis.These findings reveal the critical role of higher-order interactions in synchronization dynamics,offering theoretical insights for controlling collective behavior in neuroscience,ecology,and related fields.This work advances the understanding of synchronization in complex systems and provides new methodologies for studying multi-body interactions in real-world networks. 展开更多
关键词 higher-order interactions explosive synchronization hysteresis FitzHugh-Nagumo neural network
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Explosive synchronization transition in stochastically rewired inertial Kuramoto networks 认领 引用
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作者 Shivakumar Rajagopal Iqtadar Hussain +3 位作者 Fatemeh Parastesh Zhen Wang Karthikeyan Rajagopal Sajad Jafari 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第6期1-13,共13页
Explosive synchronization(ES) describes an abrupt and hysteretic transition from incoherence to collective order and has been widely studied in static networks.Here,we show that temporal variability of network connect... Explosive synchronization(ES) describes an abrupt and hysteretic transition from incoherence to collective order and has been widely studied in static networks.Here,we show that temporal variability of network connectivity can fundamentally reshape this transition.We investigate inertial Kuramoto oscillators evolving on stochastically rewired random networks,where links are continuously replaced at controlled rates,allowing us to tune the interplay between inertia and topological dynamics.Our results reveal that temporal rewiring can both induce and suppress ES depending on the network density and the switching timescale.Sparse networks display ES only under very slow or very rapid switching,whereas denser networks exhibit robust explosive transitions across a broad parameter range.Increasing the rewiring probability generally promotes abrupt synchronization,but excessively frequent rewiring weakens hysteresis and reduces bistability.A systematic exploration across different degrees confirms that ES is most prominent when moderate-tohigh rewiring probability is combined with rapid switching,whereas small rewiring probability favors continuous transitions.These findings demonstrate that temporal randomness is not merely a perturbation but a key control mechanism for abrupt collective behavior,representing how timevarying connectivity governs the onset,robustness,and disappearance of ES in dynamical networks. 展开更多
关键词 explosive synchronization inertial Kuramoto oscillators random topology timevarying network
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DAUNet: Unsupervised Neural Network Based on Dual Attention for Clock Synchronization in Multi-Agent Wireless Ad Hoc Networks 认领 引用
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作者 Haihao He Xianzhou Dong +2 位作者 Shuangshuang Wang Chengzhang Zhu Xiaotong Zhao 《Computers, Materials & Continua》 SCIE EI 2026年第1期847-869,共23页
Clock synchronization has important applications in multi-agent collaboration(such as drone light shows,intelligent transportation systems,and game AI),group decision-making,and emergency rescue operations.Synchroniza... Clock synchronization has important applications in multi-agent collaboration(such as drone light shows,intelligent transportation systems,and game AI),group decision-making,and emergency rescue operations.Synchronization method based on pulse-coupled oscillators(PCOs)provides an effective solution for clock synchronization in wireless networks.However,the existing clock synchronization algorithms in multi-agent ad hoc networks are difficult to meet the requirements of high precision and high stability of synchronization clock in group cooperation.Hence,this paper constructs a network model,named DAUNet(unsupervised neural network based on dual attention),to enhance clock synchronization accuracy in multi-agent wireless ad hoc networks.Specifically,we design an unsupervised distributed neural network framework as the backbone,building upon classical PCO-based synchronization methods.This framework resolves issues such as prolonged time synchronization message exchange between nodes,difficulties in centralized node coordination,and challenges in distributed training.Furthermore,we introduce a dual-attention mechanism as the core module of DAUNet.By integrating a Multi-Head Attention module and a Gated Attention module,the model significantly improves information extraction capabilities while reducing computational complexity,effectively mitigating synchronization inaccuracies and instability in multi-agent ad hoc networks.To evaluate the effectiveness of the proposed model,comparative experiments and ablation studies were conducted against classical methods and existing deep learning models.The research results show that,compared with the deep learning networks based on DASA and LSTM,DAUNet can reduce the mean normalized phase difference(NPD)by 1 to 2 orders of magnitude.Compared with the attention models based on additive attention and self-attention mechanisms,the performance of DAUNet has improved by more than ten times.This study demonstrates DAUNet’s potential in advancing multi-agent ad hoc networking technologies. 展开更多
关键词 Clock synchronization deep learning dual attention mechanism pulse-coupled oscillator
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Periodic solutions and fixed-time synchronization of discontinuous time-varying delayed Cohen-Grossberg neural networks 认领 引用
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作者 ZHANG Yi-cheng KONG Fan-chao Rathinasamy Sakthivel 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2026年第1期140-160,共21页
In this paper,a class of discontinuous Cohen-Grossberg neural networks with timevarying delays is considered.Firstly,under the extended Filippov differential inclusions framework,the problem of periodic solutions of t... In this paper,a class of discontinuous Cohen-Grossberg neural networks with timevarying delays is considered.Firstly,under the extended Filippov differential inclusions framework,the problem of periodic solutions of the considered neural networks with more relaxed conditions imposed on the amplification functions is analyzed by using set-valued mapping and Kakutani's fixed point theorem,which has rarely been used to study such problem.Secondly,the fixed-time synchronization of the error system of the considered neural networks is also investigated by designing a novel control strategy,which can improve not only the previous ones with sign function greatly,but also can reduce the chattering phenomenon.Finally,two numerical examples are presented to further illustrate the validity of the obtained results. 展开更多
关键词 Cohen-Grossberg neural networks periodic solutions Kakutani's fixed point theorem differential inclusions theory fixed-time synchronization
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Chaotic bursting and burst synchronization in a discrete dual-Rulkov neural network with memristive synaptic coupling 认领 引用
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作者 Ke Meng Yifan Bu +4 位作者 Yinghong Cao Suo Gao Qi Li Chunpeng Wang Jun Mou 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期191-206,共16页
A discrete dual-Rulkov neural network with memristive synaptic coupling is constructed to investigate chaotic bursting dynamics and burst synchronization.First,a memristive synapse model suitable for discrete-time neu... A discrete dual-Rulkov neural network with memristive synaptic coupling is constructed to investigate chaotic bursting dynamics and burst synchronization.First,a memristive synapse model suitable for discrete-time neurons is established,and its pinched hysteresis loop(PHL)fingerprint and local activity are verified.Based on this synapse model,a fivedimensional memristively coupled discrete neural system is formulated.By combining Lyapunov exponent spectra(LEs),bifurcation analysis,and equilibrium stability analysis,chaotic and hyperchaotic bursting behaviors induced by variations in the coupling gain are revealed,together with their dynamical evolution characteristics.Furthermore,to characterize irregular spiking activities during chaotic bursting,a joint framework based on the phase-locking value(PLV)and burst envelope correlation(EnvCorr)is introduced,through which three bursting regimes,namely,in-phase bursting(IPB),phaseshifted bursting(PSB),and desynchronized bursting(DB),are identified.Finally,a digital signal processor(DSP)-based real-time hardware implementation is carried out,and the good qualitative agreement between experimental and numerical results demonstrates the physical feasibility of the proposed model. 展开更多
关键词 memristor Rulkov neuron chaotic bursting burst synchronization DSP implementation
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FIXED-TIME PASSIVITY AND SYNCHRONIZATION OF SPATIOTEMPORAL DIRECTED NETWORKS WITH MULTIPLE WEIGHTS 认领 引用
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作者 Yujie MA Cheng HU Leimin WANG 《Acta Mathematica Scientia》 SCIE CSCD 2026年第1期361-382,共22页
This paper is dedicated to fixed-time passivity and synchronization for multi-weighted spatiotemporal directed networks.First,to achieve fixed-time passivity,a type of decentralized power-law controller is developed,i... This paper is dedicated to fixed-time passivity and synchronization for multi-weighted spatiotemporal directed networks.First,to achieve fixed-time passivity,a type of decentralized power-law controller is developed,in which only one parameter needs to be adjusted in the power-law terms;this greatly decreases the inconvenience of parameter adjustment.Second,several fixed-time passivity criteria with LMI forms are derived by using a Gauss divergence theorem to deal with the spatial diffusion of nodes and by applying the Hölder’s inequality to dispose rigorously the power-law term greater than one in the designed control scheme;this improves the previous theoretical analysis.Additionally,the fixed-time synchronization of spatiotemporal directed networks with multi-weights is addressed as a direct result of fixed-time strict passivity.Finally,a numerical example is presented in order to show the validity of the theoretical analysis. 展开更多
关键词 fixed-time passivity fixed-time synchronization spatiotemporal networks multiple weights directed topology
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Synchronization of neuromorphic memristive Josephson junction network and its application 认领 引用
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作者 Dejun Yan Fuqiang Wu Wenshuai Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第1期124-138,共15页
Neuromorphic circuits based on superconducting tunnel junctions have attracted much attention due to their highspeed computing capabilities and low energy consumption.Josephson junction circuits can effectively mimic ... Neuromorphic circuits based on superconducting tunnel junctions have attracted much attention due to their highspeed computing capabilities and low energy consumption.Josephson junction circuits can effectively mimic biological neural dynamics.Leveraging these advantages,we construct a Josephson junction neuron-like model with a phasedependent dissipative current,referred to as a memristive current.The proposed memristive Josephson junction model exhibits complex dynamical behaviors.Furthermore,considering the effect of a fast-modulated synapse,we explore synchronization phenomena in coupled networks under varying coupling conductances and excitatory/inhibitory interactions.Finally,we extend the neuromorphic Josephson junction model—exhibiting complex dynamics—to the field of image encryption.These results not only enrich the understanding of the dynamical characteristics of memristive Josephson junctions but also provide a theoretical basis and technical support for the development of new neural networks and their applications in information security technology. 展开更多
关键词 nonlinear dynamics memristive Josephson junction synchronization image encryption
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Output feedback prescribed performance state synchronization for leader-following high-order uncertain nonlinear multi-agent systems 认领 引用
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作者 Ilias Katsoukis George A.Rovithakis 《Journal of Automation and Intelligence》 EI CSCD 2026年第1期35-45,共11页
This paper addresses the synchronization of follower agents’state vectors with that of a leader in high-order nonlinear multi-agent systems.The proposed low-complexity control scheme employs high-gain observers to es... This paper addresses the synchronization of follower agents’state vectors with that of a leader in high-order nonlinear multi-agent systems.The proposed low-complexity control scheme employs high-gain observers to estimate higher-order synchronization errors,enabling the controller to rely solely on relative output measurements.This approach significantly reduces the dependence on full-state information,which is often infeasible or costly in practical engineering applications.An output feedback control strategy is developed to overcome these limitations while ensuring robust and effective synchronization.Simulation results are provided to demonstrate the effectiveness of the proposed approach and validate the theoretical findings. 展开更多
关键词 Synchronization problem Leader-following High-order nonlinear systems Multi-agent systems High-gain observer
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Mediated transmission of quantum synchronization in star networks 认领 引用
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作者 Shuo Dai Ran Qi 《Communications in Theoretical Physics》 SCIE CAS CSCD 2026年第4期33-40,共8页
Synchronization transmission describes the emergence of coherence between two uncoupled oscillators mediated by their mutual coupling to an intermediate one.In classical star networks,such mediated coupling gives rise... Synchronization transmission describes the emergence of coherence between two uncoupled oscillators mediated by their mutual coupling to an intermediate one.In classical star networks,such mediated coupling gives rise to remote synchronization—where nonadjacent leaf nodes synchronize through a nonsynchronous hub—and to explosive synchronization,characterized by an abrupt collective transition to coherence.In the quantum regime,analogous effects can arise from the interplay between 1:1 phase locking and 2:1 phase-locking blockade in coupled spin-1 particles.In this work,we investigate a star network composed of spin-1 particles.For identical oscillators,symmetric and asymmetric dissipation leads to distinct transmission behaviors:remote synchronization and quasi-explosive synchronization appear in different coupling regimes,a phenomenon absent in classical counterparts.For nonidentical networks,we find that at large detuning remote synchronization emerges in the weak-coupling regime and evolves into quasi-explosive synchronization as the coupling increases,consistent with classical star-network dynamics.These findings reveal the rich dynamical characteristics of mediated quantum synchronization and point toward new possibilities for exploring synchronization transmission in larger and more complex quantum systems. 展开更多
关键词 quantum synchronization open system quantum networks
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Research on a Digital Virtual Human Lip Synchronization Optimization Algorithm 认领 引用
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作者 FAN Jia-li ZHAO Si-jia SI Zhan-jun 《印刷与数字媒体技术研究》 CAS 北大核心 2026年第1期226-235,250,共10页
Lip synchronization serves as a core technology for enabling natural interactions in digital virtual humans.However,it faces challenges such as insufficient dynamic correspondence between speech and lip movements and ... Lip synchronization serves as a core technology for enabling natural interactions in digital virtual humans.However,it faces challenges such as insufficient dynamic correspondence between speech and lip movements and inadequate modeling of image details.To address these limitations,a comprehensively optimized lip synchronization framework extending the Wav2Lip architecture was proposed in this study.Firstly,based on the Wav2Lip model,a facial region extraction strategy using facial keypoints was designed,which effectively enhances the robustness of facial alignment during lip synchronization for digital virtual humans.Then,a cross-modal attention fusion module between visual and speech features was introduced to improve cross-modal information fusion,and a dynamic receptive field convolution module was developed in the generation branch to enhance the modeling performance of the lip region.Finally,experiments were conducted on the VFHQ dataset.The proposed method was compared with Wav2Lip,VideoRetalking,and DI-Net models,and its performance was evaluated using three metrics:LSE-C,CSIM,and FID.Experimental results showed that the proposed method achieves significant improvements in synchronization accuracy and image fidelity,providing an efficient and feasible solution for lip-synthesis tasks of digital virtual humans. 展开更多
关键词 Lip synchronization Digital human Cross-modal attention Audio-visual synthesis
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A Survey of Federated Learning:Advances in Architecture,Synchronization,and Security Threats 认领 引用
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作者 Faisal Mahmud Fahim Mahmud Rashedur M.Rahman 《Computers, Materials & Continua》 SCIE EI 2026年第3期1-87,共87页
Federated Learning(FL)has become a leading decentralized solution that enables multiple clients to train a model in a collaborative environment without directly sharing raw data,making it suitable for privacy-sensitiv... Federated Learning(FL)has become a leading decentralized solution that enables multiple clients to train a model in a collaborative environment without directly sharing raw data,making it suitable for privacy-sensitive applications such as healthcare,finance,and smart systems.As the field continues to evolve,the research field has become more complex and scattered,covering different system designs,training methods,and privacy techniques.This survey is organized around the three core challenges:how the data is distributed,how models are synchronized,and how to defend against attacks.It provides a structured and up-to-date review of FL research from 2023 to 2025,offering a unified taxonomy that categorizes works by data distribution(Horizontal FL,Vertical FL,Federated Transfer Learning,and Personalized FL),training synchronization(synchronous and asynchronous FL),optimization strategies,and threat models(data leakage and poisoning attacks).In particular,we summarize the latest contributions in Vertical FL frameworks for secure multi-party learning,communication-efficient Horizontal FL,and domain-adaptive Federated Transfer Learning.Furthermore,we examine synchronization techniques addressing system heterogeneity,including straggler mitigation in synchronous FL and staleness management in asynchronous FL.The survey covers security threats in FL,such as gradient inversion,membership inference,and poisoning attacks,as well as their defense strategies that include privacy-preserving aggregation and anomaly detection.The paper concludes by outlining unresolved issues and highlighting challenges in handling personalized models,scalability,and real-world adoption. 展开更多
关键词 Federated learning(FL) horizontal federated learning(HFL) vertical federated learning(VFL) federated transfer learning(FTL) personalized federated learning synchronous federated learning(SFL) asynchronous federated learning(AFL) data leakage poisoning attacks privacy-preserving machine learning
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Cross-Domain Time Synchronization in Software-Defined Time-Sensitive Networking 认领 引用 被引量：1
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作者 Zhang Xiaodong Shou Guochu +2 位作者 Li Hongxing Liu Yaqiong Hu Yihong 《China Communications》 SCIE EI CSCD 2025年第9期289-306,共18页
The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in... The rise of time-sensitive applications with broad geographical scope drives the development of time-sensitive networking(TSN)from intra-domain to inter-domain to ensure overall end-to-end connectivity requirements in heterogeneous deployments.When multiple TSN networks interconnect over non-TSN networks,all devices in the network need to be syn-chronized by sharing a uniform time reference.How-ever,most non-TSN networks are best-effort.Path delay asymmetry and random noise accumulation can introduce unpredictable time errors during end-to-end time synchronization.These factors can degrade syn-chronization performance.Therefore,cross-domain time synchronization becomes a challenging issue for multiple TSN networks interconnected by non-TSN networks.This paper presents a cross-domain time synchronization scheme that follows the software-defined TSN(SD-TSN)paradigm.It utilizes a com-bined control plane constructed by a coordinate con-troller and a domain controller for centralized control and management of cross-domain time synchroniza-tion.The general operation flow of the cross-domain time synchronization process is designed.The mecha-nism of cross-domain time synchronization is revealed by introducing a synchronization model and an error compensation method.A TSN cross-domain proto-type testbed is constructed for verification.Results show that the scheme can achieve end-to-end high-precision time synchronization with accuracy and sta-bility. 展开更多
关键词 cross-domain time synchronization de-terministic communications error compensation software-defined networking(SDN) time-sensitive networking(TSN)
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