A5056715372- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Opportunistic and Delay-Tolerant Networks
- Privacy-Preserving Technologies in Data
- Slime Mold and Myxomycetes Research
- GNSS positioning and interference
- Aluminum Alloys Composites Properties
- Energy Efficient Wireless Sensor Networks
- Indoor and Outdoor Localization Technologies
- Security in Wireless Sensor Networks
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Radar Systems and Signal Processing
- Advanced Memory and Neural Computing
- EEG and Brain-Computer Interfaces
- Ferroelectric and Piezoelectric Materials
- Robot Manipulation and Learning
- Energy Harvesting in Wireless Networks
- Neural dynamics and brain function
- Vehicular Ad Hoc Networks (VANETs)
- Textile materials and evaluations
- Advanced ceramic materials synthesis
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
- Stochastic Gradient Optimization Techniques
Northwestern Polytechnical University
2021-2024
Xi'an University of Architecture and Technology
2023-2024
Kunming University of Science and Technology
2023
Shaanxi Normal University
2023
Clemson University
2017-2022
University of Electronic Science and Technology of China
2022
Shanghai Electric Cable Research Institute
2011-2021
Jinan University
2021
Nanjing University of Aeronautics and Astronautics
2017
Changchun University of Science and Technology
2015
Consensus is fundamental for distributed systems since it underpins key functionalities of such ranging from information fusion, decision making, to decentralized control. In order reach an agreement, existing consensus algorithms require each agent exchange explicit state with its neighbors. This leads the disclosure private information, which undesirable in cases where privacy concern. this paper, we propose a novel approach undirected networks, can enable secure and privacy-preserving...
GH3625 alloy is widely used in aviation, nuclear power and other fields of hot section components. However, the high alloying level, significant deformation resistance, narrow working window bring great challenge to plastic alloy. The behavior microstructure evolution as-forged were studied by compression tests with temperatures 930–1180 °C, strain rates 0.001–1 s−1 true 0.92. results show that flow stress exhibits noticeable characteristics temperature-negative sensitivity rate-positive...
The microstructure evolution, mechanical properties, and the fracture mode of Al/Al/Cu multilayer structural composites produced by accumulative roll bonding (ARB) were investigated optical microscopy (OM), scanning electron (SEM), energy dispersion spectrometry (EDS), backscattered diffraction (EBSD), tensile test at room temperature microhardness tests. results show that during ARB process, Cu layer undergoes process from straightening, necking to due difference in strain hardening index...
Average consensus is key for distributed networks, with applications ranging from load balancing parallel processors, network synchronization, information fusion, to decentralized control. To reach agreement, existing average algorithms require each node exchange explicit state values its neighbors, which results in the undesirable disclosure of sensitive information. In this paper, we propose a novel approach directed graphs can protect privacy participating nodes without assistance any...
Average consensus plays a key role in distributed networks, with applications ranging from time synchronization, information fusion, load balancing, to decentralized control. Existing average algorithms require individual agents exchange explicit state values their neighbors, which leads the undesirable disclosure of sensitive state. In this paper, we propose novel algorithm for time-varying directed graphs that can protect confidentiality participating agent against other agents. The...
Decentralized collective motion coordination is fundamental in systems as diverse mobile sensor networks, swarm robotics, autonomous vehicles, and animal groups. In coordination, to conform the discontinuous message exchange that can only be conducted at discrete-time instants, existing approaches addressing usually perform continuous control design followed by discretization-based implementation. This two-stage strategy, however, problematic since discretization harm or even destabilize...
Road information such as road profile has been widely used in intelligent vehicle systems to improve safety, ride comfort, and fuel economy. However, practical challenges, heterogeneity, parameter uncertainty, measurement reliability, make it extremely difficult for a single accurately reliably estimate information. To overcome these limitations, we propose new learning-based collaborative estimation approach by fusing from fleet of networked vehicles. exchange among vehicles necessary may...
Enhancing the thermal-wet comfort of garments is a key factor in sportswear research. In this study, we designed new three-dimensional moisture conduction structure model, developed double-sided fabrics changed spacer weft-knitted structure, and compared them with single-sided plain stitch cellular fabrics, focusing on morphology, basic structural parameters absorption, quick-drying performance. The findings indicated that fabric consisting 18 tex Tencel 33.3 (96 f) recycled polyester...
Al/Mg laminated composites were successfully prepared by multi-pass friction stir processing(M-FSP) and rolling, the effects of interface structure on their microstructure properties studied Scanning Electron Microscopy (SEM) Backscattering Diffraction (BSD). The results showed that there two layers intermetallic compounds (IMCs) at after M-FSP, average grain size 2024Al AZ31B decreased from initial 12.79μm 15.06μm to 3.59μm 6.36μm, respectively. For M-FSP+ Rolling(F+R) samples, rolling...
Abstract Background The continuous emergence of novel SARS-CoV-2 variants with markedly increased transmissibility presents major challenges to the zero-COVID policy in China. It is critical adjust aspects about non-pharmaceutical interventions (NPIs) by searching for and implementing more effective ways. We use a mathematical model mimic epidemic pattern Omicron variant Shanghai quantitatively show control investigate feasibility different patterns avoiding other waves. Methods initially...
Desynchronization is a powerful tool to achieve round-robin scheduling, which crucial in applications as diverse media access control of communication networks, realization analog-to-digital converters, and scheduling traffic flows intersections. Due the remarkable scalability simplicity, pulse-coupled oscillators based desynchronization receiving increased attention. In this paper, we systematically characterize decentralized phase propose an interaction function that more general than...
Electroencephalogram (EEG) is one of the most widely used brain computer interface (BCI) approaches. Despite success existing EEG approaches in state recognition studies, it still challenging to differentiate states via explainable and generalizable deep learning In other words, how explore meaningful distinguishing features overcome huge variability overfitting problem need be further studied. To alleviate these challenges, this work, a multiple random fragment search-based multilayer...
In order to reduce resistance loss due skin effect and proximity in high-frequency inductive wireless transmission coils, an impedance calculation model is built this paper for analyzing the electromagnetic field of double-layer composite conductor frequency range less than 100 kHz. The analytical formulas on calculating power are obtained. It found that there a critical above which significantly lower pure copper conductor. density within aluminum layer conductor, will increase sharply at...
Preterm birth is a worldwide problem that affects infants throughout their lives significantly. Therefore, differentiating brain disorders, and further identifying characterizing the corresponding biomarkers are key issues to investigate effects of preterm birth, which facilitates interventions for neuroprotection improves outcomes prematurity. Until now, many efforts have been made study birth; however, most studies merely focus on either functional or structural perspective. In addition,...
Non-stationary jamming signals broadcasted by jammers seriously affect the reliability of Global Navigation Satellite Systems (GNSS). What is worse, GNSS may be sparsely sampled or missing some samples in situations. In this context, applying conventional anti-jam methods can lead to interference leakage. This letter proposes an interpolation-based subspace projection algorithm for non-stationary mitigation presence samples. To reduce leakage caused samples, we propose perform interpolation...
This paper considers the problem of privacy-preservation in decentralized optimization, which $N$ agents cooperatively minimize a global objective function that is sum local functions. We assume each private and only known to an individual agent. To solve problem, most existing optimization approaches require participating exchange disclose estimates neighboring agents. However, this results leakage information about functions, undesirable when adversaries exist try steal from address issue,...
A circular TE<sub>0<i>n</i></sub> mode content analysis technique based on the multi-mode coupler with high selectivity is proposed. To improve selectivity, a deformed waveguide, entitled quad-polar which discriminates azimuthally symmetric TE-mode waveguide wall, introduced. The influence of deformation TE<sub>01</sub> and TE<sub>02</sub> modes’ field pattern, corresponding transmission loss, power capacity in are analyzed. Based analysis, dual-mode modes, consisting an oversized...