A5101402870- Energy Load and Power Forecasting
- Smart Grid and Power Systems
- Smart Grid Energy Management
- Power Systems and Renewable Energy
- Dielectric materials and actuators
- Optimal Power Flow Distribution
- Advanced Sensor and Energy Harvesting Materials
- Electric Power System Optimization
- Advanced Cellulose Research Studies
- Image and Signal Denoising Methods
- Electromagnetic wave absorption materials
- Anomaly Detection Techniques and Applications
- Power Systems and Technologies
- Supercapacitor Materials and Fabrication
- Fatigue and fracture mechanics
- Digital Media Forensic Detection
- Nanoplatforms for cancer theranostics
- Machine Fault Diagnosis Techniques
- Currency Recognition and Detection
- Industrial Technology and Control Systems
- Transportation Safety and Impact Analysis
- Robotic Path Planning Algorithms
- Belt Conveyor Systems Engineering
- Global Energy Security and Policy
- Curcumin's Biomedical Applications
State Grid Corporation of China (China)
2024
Harbin Institute of Technology
2024
Beijing University of Chinese Medicine
2024
Guiyang Medical University
2024
Wuhan University of Technology
2018-2021
Wuhan University
2020-2021
Inner Mongolia University for Nationalities
2016-2017
Xiamen University
2012
China Coal Research Institute (China)
2011
China Coal Technology and Engineering Group Corp (China)
2011
Regenerated cellulose/BaTiO3 nanocomposite films were fabricated by incorporation of BaTiO3 nanoparticle (BTNP) or nanofiber (BTNF) in regenerated cellulose (RC) via simple blending aqueous NaOH/urea solution. The results showed that a proper addition BTNP BTNF could improve the dielectric constant, breakdown strength, energy density RC and reduce loss simultaneously. Meanwhile, RC-BTNF composites exhibited better mechanical properties than RC-BTNP. Especially, RC-2BTNF composite film with 2...
Abstract The role of tumor-resident intracellular microbiota (TRIM) in carcinogenesis has sparked enormous interest. Nevertheless, the impact TRIM-targeted antibacteria on tumor inhibition and immune regulation microenvironment (TME) remains unexplored. Herein, we report long-term relapse-free survival by coordinating with antitumor treatment, addressing aggravated immunosuppression overgrowth induced TRIM using breast prostate cancer models. Combining Ag + release a Fenton-like reaction...
Precise and reliable forecasting of short-term electricity load is essential to the development smart grids. Particularly, deep neural networks (DNNs) are widely utilized for prediction due their automatic feature extraction ability. However, these available stacked deep-learning models may lose some temporal features or spatial original input data. To capture more comprehensive information, in this article, we present an integration scheme based on empirical mode decomposition (EMD),...
Imbalanced data classification problem has always been a hotspot in the field of machine learning research. Pointing to overfitting and noise problems oversampling algorithm when synthesizing new minority class samples, current study proposed stacked denoising autoencoder neural network (SDAE) based on cost-sensitive oversampling, combining with network. The can not only oversample sample through misclassification cost, but it denoise classify sampled dataset. Experiment shows that, compared...
The panoramic dental X-ray images are an essential diagnostic tool used by dentists to detect the symptoms in early stage and develop appropriate treatment plans. In recent years, deep learning methods have been applied achieve tooth segmentation of X-rays, which aims assist making clinical decisions. Because original contain plenty useless information, it is necessary extract region-of-interest (ROI) obtain more accurate results focusing on maxillofacial region. However, a fast without...
A bifunctional fusion enzyme system constructed by gene splicing is proposed as a new model to develop sequence biosensors, taking maltose biosensor an example. The cDNA fragment of Aspergillus niger glucoamylase (E.C 3.2.1.3, GA) was fused the 3' end glucose oxidase 1.1.3.4, GOD) with insertion flexible linker peptide [-(Ser-Gly)5-] coding sequence. cloned into vector pPIC9 and expressed in Pichia pastoris GS115 under control AOX1 promoter. It found that hybrid protein molecular weight 430...
This paper presents a low power phase noise ring voltage controlled oscillator(VCO). The VCO consists of two stage differential delay cells which use transmission gates control delay. By using cross-coupled PMOS pair and compensation resistors in each cell, performance the is further improved. has been designed 90nm CMOS technology with 1.2V supply. Simulation results show that can operate from 1.1GHz to 3.2GHz, by varying 0.5v 1.2v, at 1 MHz offset 2.4 GHz -94 dBc/Hz. Its consumption 2.4GHz...
In recent years, few-shot learning is proposed to solve the problem of lacking samples in deep learning. However, previous works are mainly concentrated on optimizing neural network structures or augmenting dataset while ignoring local relationship images. Considering that humans pay more attention foreground prominent features images during image recognition, we feature module (FFAM) based an unsupervised saliency detector for The FFAM consists two parts: extraction and module. More...
Imbalanced data classification problem has always been one of the hot issues in field machine learning. Synthetic minority over-sampling technique (SMOTE) is a classical approach to balance datasets, but it may give rise such as noise. Stacked De-noising Auto-Encoder neural network (SDAE), can effectively reduce redundancy and noise through unsupervised layer-wise greedy Aiming at shortcomings SMOTE algorithm when synthesizing new class samples, paper proposed based on SMOTE, SMOTE-SDAE,...
In order to further promote the construction of electricity spot market in China, it is future trend operating on market-oriented trading mode, which both power generators and customer loads could participate together compete with each other fairly. It well known that demand response can effectively improve economy system as efficiency operation by guiding load customers adjust their consumption patterns more actively. Considering this paper proposed a mechanism for resources participating...