A5100421896- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Gene Regulatory Network Analysis
- stochastic dynamics and bifurcation
- Optical measurement and interference techniques
- Advanced Memory and Neural Computing
- Energy Efficient Wireless Sensor Networks
- Stability and Control of Uncertain Systems
- Advanced Measurement and Metrology Techniques
- Mathematical and Theoretical Epidemiology and Ecology Models
- Evolution and Genetic Dynamics
- Advanced biosensing and bioanalysis techniques
- Molecular Communication and Nanonetworks
- Formal Methods in Verification
- Neural Networks and Applications
- Optical Systems and Laser Technology
- Evolutionary Game Theory and Cooperation
- Opinion Dynamics and Social Influence
- Microbial Metabolic Engineering and Bioproduction
- Chaos control and synchronization
- Receptor Mechanisms and Signaling
- Network Time Synchronization Technologies
- Complex Network Analysis Techniques
- Image Processing Techniques and Applications
Hefei University of Technology
2016-2025
Tianjin Anding Hospital
2025
Tianjin Medical University
2025
Hebei North University
2025
Nanjing Normal University
2024
China Academy of Engineering Physics
2017-2024
Xidian University
2018-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2022
Peking Union Medical College Hospital
2022
Beijing Jiaotong University
2022
For years, the YOLO series has been de facto industry-level standard for efficient object detection. The community prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios. In this technical report, we strive push limits next level, stepping forward with an unwavering mindset industry application. Considering diverse requirements speed accuracy real environment, extensively examine up-to-date detection advancements either from or academia....
This paper investigates the leader-following consensus for multiagent systems with general linear dynamics by means of event-triggered scheme (ETS). We propose three types schemes, namely, distributed ETS (distributed-ETS), centralized (centralized-ETS), and clustered (clustered-ETS) different network topologies. All these schemes guarantee that all followers can track leader eventually. It should be emphasized protocols in this depend on local information their executions are distributed....
In this paper, fault-tolerant consensus in multi-agent system using distributed adaptive protocol is investigated. Firstly, online updating strategies for some parameters are proposed based on local information of the network structure. Then, under parameters, a developed to compensate fault effects and uncertainty leaderless system. Based state neighboring agents, gain which leads fully continuous design Furthermore, leader-follower constructed by method. Finally, simulation example given...
The YOLO community has been in high spirits since our first two releases! By the advent of Chinese New Year 2023, which sees Rabbit, we refurnish YOLOv6 with numerous novel enhancements on network architecture and training scheme. This release is identified as v3.0. For a glimpse performance, YOLOv6-N hits 37.5% AP COCO dataset at throughput 1187 FPS tested an NVIDIA Tesla T4 GPU. YOLOv6-S strikes 45.0% 484 FPS, outperforming other mainstream detectors same scale (YOLOv5-S, YOLOv8-S, YOLOX-S...
In this paper, we study the consensus problem of multi-agent networks subject to communication constrains. Undirected and weighted network is considered here. Two types constrains are discussed in paper: i) each agent can only exchange quantized data with its neighbors ii) obtain delayed information from neighbors. The main contribution paper provide a precise mathematical treatment for continuous quantization time delay. existence global solution resulting system firstly proved Filippov...
This study mainly investigates the event-triggered data transmission in discrete-time multi-agent consensus problem with communication delays. A new distributed scheme is proposed for considered network model. An action of agent triggered by an 'event' which a well-defined condition on system state. For protocol, authors prove that will achieve asymptotically. Numerical examples are provided to demonstrate effectiveness obtained theoretical results.
Diabetic nephropathy (DN) is a lethal diabetic microvascular complication characterized by chronic low-grade inflammation. The NOD-like receptor pyrin domain-containing protein 3 (NLRP3) inflammasome implicated in the progression of DN. MCC950 selective and potent inhibitor NLRP3; however, its efficacy DN requires further investigation. To investigate DN, eight-week-old type 2 db/db mice received injections intraperitoneally (10 mg/kg) twice per week for 12 weeks. Urinary...
Abstract In this paper, we analyze the synchronization problem of master-slave probabilistic Boolean networks (PBNs). The master network (BN) is a deterministic BN, while slave BN determined by series possible logical functions with certain probability at each discrete time point. firstly define PBNs one and then investigate one. By resorting to new approach called semi-tensor product (STP), are expressed in equivalent algebraic forms. Based on form, some necessary sufficient criteria...
This article investigates the quantized control issue for synchronizing a networked nonlinear system. Due to limited energy and channel resources, event-triggered (ETC) method input quantization are simultaneously taken into account in this article. First, dynamic quantizer, which discretely adjusts its parameters online possesses finite range, is introduced achieve exact synchronization, rather than quasisynchronization. Next, new distributed Zeno-free ETC strategy proposed based on...
This paper investigates the consensus issue of multi-agent systems under constrained data rates, time delays, and denial-of-service (DoS) attacks. We first introduce a periodically adjusted dynamic quantizer based on equally distributed bit rate model, which can effectively avoid saturation eliminate quantization error over time, unlike static quantizer. Then, we show that in this is suitable for with design quantized controller realize such systems. also derive sufficient condition...
This paper investigates the synchronization of neural networks with switching topology under dynamic event-triggered impulsive control delays. First, a general delayed-time model is adopted, allowing for more realistic representation effects in networks. Second, new scheme designed, which reduces communication and computation costs avoids Zeno behavior. Finally, less conservative criteria are derived, enabling analysis cases involving topology, control, impulses. Numerical examples provided...
We report an improved electrochemistry-based sequence-specific detection technique by modifying the electrode surface using polyelectrolytes or utilizing whose exhibits lowest background signal. The objective of present work is to develop DNA-detection platforms that offer high sensitivity and selectivity in transducing hybridization event are compatible with microfabrication process. Gold nanoparticle labels, coupled signal amplification silver-enhancement technique, would be a suitable...