A5006590755- Distributed Sensor Networks and Detection Algorithms
- Distributed Control Multi-Agent Systems
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Energy Efficient Wireless Sensor Networks
- Fault Detection and Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Battery Technologies Research
- Advanced Wireless Network Optimization
- Stability and Control of Uncertain Systems
- Supercapacitor Materials and Fabrication
- Cooperative Communication and Network Coding
- stochastic dynamics and bifurcation
- Advanced Control Systems Optimization
- Text and Document Classification Technologies
- Age of Information Optimization
- Neural Networks Stability and Synchronization
- Machine Learning in Bioinformatics
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Advanced Memory and Neural Computing
- Underwater Vehicles and Communication Systems
- Wireless Networks and Protocols
- Adaptive Control of Nonlinear Systems
- Image and Signal Denoising Methods
Guangdong University of Technology
2021-2024
Fujian Normal University
2019-2022
Tan Kah Kee Innovation Laboratory
2019
Zhengzhou University
2015
As high capacity cathodes, O3-type Na-based oxides always suffer from a series of monoclinic transitions upon sodiation/desodiation, mainly caused by Na+/vacancy ordering and Jahn–Teller (J−T) distortion, leading to rapid structural degradation serious performance fading. Herein, simple modulation strategy is proposed address this issue based on refrainment electron localization in expectation alleviate the charge change electronic structure, which lead J–T respectively. According density...
Abstract The development of cathode materials for Na‐ion batteries (NIBs) has benefitted greatly from previous research on Li‐ion (LIBs) due to the similar physicochemical properties between Na and Li. However, exploitation high‐rate NIB cathodes faced greater difficulty compared Li counterparts because larger ionic radius Na. Numerous attempts optimize composition structure have been made address this issue, great progress achieved in recent years. Herein, a systemic review latest NIBs is...
This paper studies the optimal transmission scheduling for remote state estimation over multi-hop networks. A smart sensor observes a dynamic system, and sends its local estimate to estimator (RE). To save energy, networks are deployed relay data packets from RE. The needs decide hop number communicating with RE by adjusting power. minimize error energy consumption, is formulated as modified Markov decision process (MDP) incorporating historical actions into state. sufficient condition...
This work proposes a fully distributed moving horizon estimation method with an event-triggered communication strategy over wireless sensor networks. The proposed calculates local state of each by minimizing quadratic objective function, which involves fused arrival cost that is computed in manner. approach adjusts data transmission rate selectively transmitting information and allows the incorporation constraints on noise variables. In addition, error proved to be uniformly bounded mean...
Manganese-based layered oxides are one of the most promising cathodes for Na-ion batteries, but prospect their practical application is challenged by high sensitivity to ambient air. The stacking structure materials critical aging mechanism between and air, there remains a lack systematic study. Herein, comprehensive research on model P-type Na0.50MnO2 O-type Na0.85MnO2 reveals that O-phase displays much higher dynamic affinity toward moisture air compared compounds. For air-exposed...
Edge detection is a fundamental task in many computer vision applications. In this paper, we propose novel multiscale edge approach based on the nonsubsampled contourlet transform (NSCT): fully shift-invariant, multiscale, and multidirection transform. Indeed, unlike traditional wavelets, contourlets have ability to capture directional other geometrical features for images with edges. Firstly, compute NSCT of input image. Secondly, the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Partial multi-label learning (PML) aims to accurately predict multi-labels for unknown instances with noise labels in training set. Accurate identification of ground-truth is essential optimize performance. The accuracy affects label correlation capture, which guides classifier learning. However, current methods often rely on approximation through intermediate variables, rather than restoring binary directly. To solve this problem, we propose a partial algorithm by exploring (PML-EBGL)....
Cellulose-based flocculants have shown excellent performance for wastewater flocculation, being low-cost and eco-friendly. However, they are still disturbed by the problems of incomplete biodegradability unstable chemical structure. In present study, 2,3,6-tricarboxylate cellulose (TCC) was developed as a novel fully biodegradable flocculant to deal with preceding problems. The key carboxymethylation first carried out make subsequent NaIO4 oxidation occur under homogeneous conditions, which...
In this article, a morphable unmanned aerial/underwater vehicle with eight propellers named Puffin platform is investigated. To improve the efficiency of rotor utilization underwater, tilting mechanism designed, where direction rotors can be changed. As causes severe underactuation vehicle, an attitude control method proposed. addition, adaptive controller designed for trajectory tracking, and stability analysis analyzed by Lyapunov-like lemma. Simulations are then used to verify performance...
This paper proposes the concept of Sub band Fractional Fourier Transform (SB-FRFT), and extends to 2-D sub fractional transform.By combing low-frequency image after SB-FRFT with traditional Sobel operator, edges an could be extracted more precisely.Experiments validate proposed design method also demonstrate potential application in processing.
This work studies the effect of transmission scheduling protocol for state estimation over a constrained channel. A hybrid (HTS) mixing round-robin (RR) with try-once-discard (TOD) is used to schedule transmission, where part RR contributes ensure boundedness error covariance. Furthermore, an improved (IHTS) (ITOD) utilizing feedback information from estimator proposed improve estimator's performance. An designed based on received measurements, and sufficient condition covariance HTS/IHTS...