A5012806139- Power Systems and Technologies
- Smart Grid and Power Systems
- Network Security and Intrusion Detection
- Smart Grid Security and Resilience
- Pancreatitis Pathology and Treatment
- Energy Load and Power Forecasting
- High-Voltage Power Transmission Systems
- Electric Power System Optimization
- Advanced Computational Techniques and Applications
- Privacy-Preserving Technologies in Data
- Planarian Biology and Electrostimulation
- Genetic and Kidney Cyst Diseases
- Optimal Power Flow Distribution
- Phagocytosis and Immune Regulation
- Pancreatic and Hepatic Oncology Research
- Power System Optimization and Stability
- Power Systems Fault Detection
- Stochastic Gradient Optimization Techniques
- Data Mining Algorithms and Applications
- Liver Disease Diagnosis and Treatment
- Advanced Algorithms and Applications
- Peptidase Inhibition and Analysis
- Robotic Locomotion and Control
- Glycosylation and Glycoproteins Research
- Blockchain Technology Applications and Security
Guangzhou University
2024-2025
Shanghai Electric (China)
2008-2024
China Academy of Space Technology
2019-2022
First Affiliated Hospital of Harbin Medical University
2017-2020
Harbin Medical University
2017-2020
Beijing Proteome Research Center
2019
Longhua Hospital Shanghai University of Traditional Chinese Medicine
2018
Shanghai University of Traditional Chinese Medicine
2018
Hangzhou Dianzi University
2010
Tsinghua University
2007
The increasing complexity and frequency of malware attacks pose significant challenges to cybersecurity, as traditional methods struggle keep pace with the evolving threat landscape. Current classification techniques often fail account for heterogeneity data models across different clients, limiting their effectiveness. In this chapter, we propose a distributed model enhancement-based method that leverages federated learning address these limitations. Our approach employs generative...
The present study was conducted to investigate the effect and potential mechanism of hypoxia-inducible factor-1α (HIF-1α) genetic inhibition plus glutamine (Gln) supplementation on necrosis-apoptosis imbalance during acute pancreatitis (AP), with a specific focus regulations intracellular energy metabolism status. Wistar rats AR42J cells were used establish AP models. When indicated, HIF-1α knockdown or without Gln administered. In vivo, local systemic inflammatory injuries assessed by serum...
Abstract The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose method based on Lagrangian function, analyzing key factors that influence controllability. Our index includes distributed supply utilization rate, energy storage station charge state, factor, voltage offset. Using Lagrange shadow price theory, we construct guideline layer treating bottom indexes as constraints. formulate an optimization function...
Abstract Endogenous electric field is considered to play an important role in promoting collective migration of epidermis the wound centre. However, most studies are focused on effect bioelectric movement and single epithelial cell; molecular mechanisms about epidermal monolayers remain unclear. Here, we found that EFs dramatically promoted HaCaT cells towards anode, activated sheddase activity ADAM17 increased phosphorylation level EGFR. Moreover, EGFR HB‐EGF shedding were significantly...
To investigate the therapeutic effects of PN on intestinal inflammation and microvascular injury its mechanisms, dextran sodium sulfate- (DSS-) or iodoacetamide- (IA-) induced rat colitis models were used. After model was established, orally administered for 7 days at daily dosage 1.0 g/kg. Obvious colonic mucosal injuries microvessels observed in DSS- IA-induced groups. DAI scores, serum concentrations VEGFA121, VEGFA165, VEGFA165/VEGFA121, IL-6, TNF-<mml:math...
In China, Hangzhou is the first city to set up Public Free-Bicycle System. There are many and technology problems in decision of intelligent dispatch. this paper, we investigate busy line System with association rules mining algorithm. Actually, finding an important data problem can be derived based on large frequent candidate sets. a new procedure proposed for efficient generating lines set. At first, by passing over cruel database only once, rent-return entries 1 or 0 up. Then, locations...
Renewable energy, such as wind power, has witnessed rapid development recently on account of increasing public awareness environmental protection along with sustainable power supply. In this background, speed prediction plays an important role in helping ensure stable and economic operation modern systems a high renewable penetration. However, the stricter data regulation rules competitive demands markets set limit to employing datasets from different farms train more accurate model via...
Federated Contrastive Learning (FCL) represents a burgeoning approach for learning from decentralized unlabeled data while upholding privacy. In FCL, participant clients collaborate in global encoder using data, which can serve as versatile feature extractor diverse downstream tasks. Nonetheless, FCL is susceptible to privacy risks, such membership information leakage, stemming its distributed nature, an aspect often overlooked current solutions. This study delves into the feasibility of...
Support vector machine (SVM) can be seen as, a special binary classification method. The original model is quadratical programming with linear inequalities constraints. It very important issue that how to get the optimal solution of SVM model. In this paper, new method proposed. constraints are moved away from optimization by using approximation in feasible space. One control parameter smoothing function used smoothen objective unconstrained performance investigated. By theory proof,...
Based on the Mars surface exploration, this paper studies autonomous path planning technology of rover under circumstance limited computing resources Rover. In paper, visibility-graph method and grid are combined to optimize division make map model more suitable for search processing. On basis, a direction with low computational resource occupancy is proposed established map. Finally, results griding compared Dijkstra algorithm. It shows that has less time complexity, can conduct synchronous...
False data injection attacks (FDIA) destroy the integrity of information transmission by evading bad detection mechanism, and thus affects stability power cyber-physical systems (PCPS). Existing studies simply introduce complex neural network models for FDIA detection, ignoring spatial-temporal correlation interpretability networks. As a result, accuracy reliability false may be negatively affected. To address challenges above, this paper proposes an interpretable deep learning framework...
Driven by the dual carbon target, distribution system will incorporate a high proportion of renewable energy, and island operation become an important way fault recovery. In order to study influence cyber on state network, this paper first analyzes transmission process cross from space physical space, gives set expected faults caused natural aging attack. Then, considering randomness distributed generation output load power as well calculation efficiency, probability model islanding is...