- Electric Power System Optimization
- Optimal Power Flow Distribution
- Advanced Sensor Technologies Research
- Smart Grid Energy Management
- Sensor Technology and Measurement Systems
- Advanced Measurement and Metrology Techniques
- Traumatic Brain Injury and Neurovascular Disturbances
- Traumatic Brain Injury Research
- Scientific Measurement and Uncertainty Evaluation
- S100 Proteins and Annexins
- Integrated Energy Systems Optimization
- Power System Reliability and Maintenance
- Advanced Neuroimaging Techniques and Applications
- Microgrid Control and Optimization
- Magnetic and transport properties of perovskites and related materials
- Power Transformer Diagnostics and Insulation
- Building Energy and Comfort Optimization
- Hybrid Renewable Energy Systems
- Energy Load and Power Forecasting
- Perovskite Materials and Applications
- Electronic and Structural Properties of Oxides
- Functional Brain Connectivity Studies
- High voltage insulation and dielectric phenomena
- Advanced Measurement and Detection Methods
- High-pressure geophysics and materials
China Electronics Technology Group Corporation
2025
China University of Mining and Technology
2025
Ministry of Education of the People's Republic of China
2025
Xi'an Jiaotong University
2015-2024
Beijing University of Posts and Telecommunications
2020-2024
South China University of Technology
2024
Soochow University
2024
North China Electric Power University
2024
State Key Laboratory of Electrical Insulation and Power Equipment
2022
Chongqing University
2022
To deal with the difficulties caused by uncertainty of renewable energy sources in solving transmission constrained unit commitment (TCUC), robust optimization (RO) and scenario-based stochastic (SO) methods have gained popularity recent years. However, RO formulations a multilevel (min-max-min or min-max) structure solution are usually complicated. On other hand, when SO-based formulation is adopted, careful balance often required between accuracy scale formulation, since they conflicting...
The operation of the integrated energy system will be affected by uncertainties, leading to sub-optimal design decisions. Accurate and effective modeling these uncertainties is essential ensure optimal integration renewable in system. This article first gives basic model system, analyzes various uncertain factors source side mainly considers intermittent volatility output. load uncertainty forecast errors. network characteristics equipment under variable conditions, failures, coupling...
Since the regulatory roles of microRNAs in complex human diseases have been gradually demonstrated, more and enlightening models were developed for predicting microRNA-disease associations. These can inform biological studies on differential expression microRNAs. In this paper, a graph convolutional network-based model using multi-view feature fusion matrix completion, FMCGCN brevity, is proposed. First all, autoencoders are used to learn multiple embeddings from different networks. For...
Abstract The “Barrel Effect” of n ‐type Bi 2 Te 3 materials have always been the biggest obstacle to expanding thermoelectric commercial applications. This work develops an industrial‐scale large shrinkage ratio extrusion method that synchronously coordinates appropriate texturing and modifies atomic defects, as well micro nanostructures, prompting simultaneous gains in rods with a diameter 30 mm increases ≈1.20 at 325 kelvin, flexural compressive strengths significantly improve 77.7 192.4...
A linearization method with improved robustness for determining the displacement from sine and cosine signals generated by optical encoders is presented. The proposed scheme based on a ratiometric technique dedicated compensation method. converts sinusoidal into nearly perfectly linear output signal, which determined precisely using simple equation. Under condition of ideal input signals, theoretical analysis shows that converter enables determination non-linearity error below 0.0029 µm...
In recent years, energy harvesting technologies, which can scavenge many kinds of energies from our living environment to power micro/nanodevices, have attracted increasing attention. However, remote transmission, flexibility and electric waveform controllability remain the key challenges for wireless supply by an harvester. this paper, we design a new infrared-driven non-contact pyroelectric generator heat energy, avoids direct contact between source realizes transfer exploiting...
Electricity cost constitutes an important part of the total energy for some energy-intensive industries (EIIs). For enterprises belonging to such EIIs, effective way reduce electricity is integrate renewable as wind and/or photovoltaic into their systems. In this paper, problem generation scheduling self-generation power plant (SGPP) in EII microgrid with considered. First, a robust optimization-based formulation flexible uncertainty set established obtain feasible range SGPP outputs, which...
Efficient solution methods for large-scale unit commitment (UC) problems have long been an important research topic and a challenge, especially in market clearing computation. For UC, the Lagrangian relaxation (LR) mixed integer programming (MIP) are most widely adopted. However, LR usually suffers from slow convergence; computational burden of MIP is heavy when binary variable number large. In this paper, reduction method proposed. First, time-coupled constraints original UC problem...
Visible Light Communication (VLC) combined with advanced illumination has been expected to become an integral part of next generation heterogeneous networks at the time writing, by inspiring further research interests. From both Cell-Centric (CC) and User-Centric (UC) perspectives, various VLC cell formations, ranging from fixed-shape regular cells different Frequency Reuse (FR) patterns merged employing transmission scheme amorphous user-specific are investigated. Furthermore, Multi-User...
Demand response (DR) and wind power are beneficial to low-carbon electricity deal with energy environmental problems. However, the uncertain generation (WG) which has anti-peaking characteristic would be hard exert its ability in carbon reduction. This paper introduces DR into traditional unit commitment (UC) strategy proposes a multi-objective day-ahead optimal scheduling model for farm integrated systems, since incentive-based can accommodate excess used as source of system spinning...
Immobilized enzymes play significant roles in many practical applications. However, the need to be purified before immobilization by conventional immobilizing methods, and purification process is expensive, laborious, complicated results a decrease of enzymatic activity. So, we present novel method facile one-step targeted an enzyme without from complex samples. For this purpose, molecularly imprinted polymer was prepared via silane emulsion self-assembly using boric acid-modified Fe3O4...
Some patients after mild traumatic brain injury (mTBI) experience microstructural damages in the long-distance white matter (WM) connections, which disrupts functional connectome of large-scale networks that support cognitive function. Patterns WM structural damage following mTBI were well documented using diffusion tensor imaging (DTI). However, organization and its association with gray (GM-FNs) DTI metrics remain unknown. The present study adopted resting-state magnetic resonance to...
Eccentricity error is the main source of optical rotary encoders. Real-time detection and compensation eccentricity an effective way improving accuracy In this paper, a novel encoder presented to realize self-detection. The proposed adopts spider-web-patterned scale grating as measuring standard which scanned by dual-head scanning unit. Two heads unit, are arranged orthogonally, have function periodic pattern along angular radial directions, respectively. By means, synchronous measurement...
A single crystal of a lead–iodine-based 2D perovskite having naphthalene diimide ammonium (NDIA) molecules as organic layers was developed, and the charge transport property studied using field-effect transistors (FETs) measurements. Structure determination reveals layered alternative stacking lead iodide sheets NDIA bilayers. The presence promoted octahedron to form unique three-point co-planar [Pb3I10]4– unit, which then connected into network in corner-sharing manner. cations closely...
Sinusoidal optical encoders are widely utilized in precision positioning systems. With the development of systems, higher resolution is required. Electronic interpolation a promising technique to further improve sinusoidal encoders. In this paper, we propose an electronic interface based on linear subdivision method with better practical accuracy. Firstly, pseudo-linearized signal difference between absolute values sine and cosine signals generated. Then, compensation ratiometric form...
Background Neuroimaging- and machine-learning-based brain-age prediction of schizophrenia is well established. However, the diagnostic significance effect early medication on first-episode remains unclear. Aims To explore whether predicted brain age can be used as a biomarker for diagnosis, relationship between clinical characteristics brain-predicted difference (PAD), effects age. Method The model was built 523 diffusion tensor imaging magnetic resonance scans from healthy controls. First,...
Abstract Blood proteins are emerging as potential biomarkers for mild traumatic brain injury (mTBI). Molecular pathology of mTBI underscores the critical roles neuronal injury, neuroinflammation, and vascular health in disease progression. However, temporal profile blood associated with aforementioned molecular after CT-negative mTBI, their diagnostic prognostic potential, utility monitoring white matter integrity progressive atrophy remain unclear. Thus, we investigated serum neuroimaging a...
In this paper, an optimized optical encoder based on generalized grating imaging is presented. A multiple-tracks analyser proposed to eliminate the second and third harmonic signals, a photodiodes array with cell width used suppress fifth signal. The also guarantees consistency stability of signals benefiting from single-field photoelectric scanning. High-quality are expected be obtained above optimization, thereby ensuring high accuracy. experiment, measured approximately ideal Lissajous...
Pyrrolizidine alkaloids are secondary metabolites of plants and can cause significant hepatotoxicity in humans. In this study, a fast simple method was developed to determine ten pyrrolizidine (PAs) six types herbal medicines using ultra performance liquid chromatography-quadrupole-time flight mass spectrometry (UPLC-Q-TOF-MS). An efficient solid-phase extraction procedure carried out by strong cation-exchange cartridges the parameters were optimized. The established analytical validated...