A5082701959- Power System Optimization and Stability
- Power Systems and Renewable Energy
- Multiple Sclerosis Research Studies
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Geophysics and Gravity Measurements
- Power Systems and Technologies
- Power Systems Fault Detection
- Digital Filter Design and Implementation
- Ionosphere and magnetosphere dynamics
- Neural Networks and Applications
- Image and Signal Denoising Methods
- Nonlinear Dynamics and Pattern Formation
- Advanced Optical Sensing Technologies
- Hydraulic Fracturing and Reservoir Analysis
- Earthquake Detection and Analysis
- Smart Grid and Power Systems
- GNSS positioning and interference
- Advanced Text Analysis Techniques
- Manufacturing Process and Optimization
- Wind Turbine Control Systems
- RNA regulation and disease
- Advanced Neuroimaging Techniques and Applications
- Remote Sensing and LiDAR Applications
- Microgrid Control and Optimization
University of Science and Technology Liaoning
2025
China Geological Survey
2025
Harbin University of Science and Technology
2021-2024
Xi'an University of Science and Technology
2023-2024
Inner Mongolia Electric Power (China)
2024
Changzhou University
2024
Howard Hughes Medical Institute
2024
University of California, Berkeley
2024
University of Chinese Academy of Sciences
2024
University of Calgary
1998-2023
An artificial neural network (ANN)-based power system stabilizer (PSS) and its application to systems are presented. The ANN-based PSS combines the advantages of self-optimizing pole shifting adaptive control strategy quick response ANN introduce a new generation PSS. A popular type ANN, multilayer perceptron with error backpropagation training method, is used in this was trained by data group generated (APSS). During training, required memorize simulate APSS until differences were within...
Single-photon light detection and ranging (LiDAR) has played an important role in areas from target identification 3D imaging to remote sensing. Its high sensitivity provides the feasibility of lightweight LiDAR systems for resource-limited airborne spaceborne platforms. Here, we design demonstrate single-photon towards compact, small-sized, low-power payload. To reduce system size, utilize small telescopes with optical aperture 47 mm develop sub-pixel scanning approach enhance resolution....
Minocycline has immunomodulatory and neuroprotective activities in vitro an animal model of multiple sclerosis (MS). We have previously reported that minocycline decreased gadolinium-enhancing activity over six months a small trial patients with active relapsing-remitting MS (RRMS). Here we report the impact oral on clinical magnetic resonance imaging (MRI) outcomes serum immune molecules this cohort 24 open-label treatment. Despite moderately high pretreatment annualized relapse rate...
Land-use changes significantly influence carbon storage capacity by altering the structure, layout, and function of terrestrial ecosystems. Predicting relationship between future land-use is essential for optimizing patterns making rational, ecology-based decisions. Using multi-period data from Xinjiang, we analyzed spatial pattern storage. Based on change in Xinjiang 2000 to 2020, coupled Markov-Future Land Use Simulation (FLUS)-Integrated Valuation Ecosystem Services Tradeoffs (InVEST)...
The effectiveness of an artificial neural network (ANN), functioning as a power system stabilizer (PSS), in damping multi-mode oscillations five-machine environment is investigated this paper. Accelerating the generating unit used input to ANN PSS. proposed PSS using multilayer with error-backpropagation training method was trained over full working range large variety disturbances. memorize reverse input/output mapping synchronous machine. Results show that can provide good for both local...
An artificial neural network (ANN), trained as an inverse of the controlled plant, to function a power system stabilizer (PSS) is presented in this paper. In order make proposed ANN PSS work properly, it was over full working range generating unit with large variety disturbances. Data used train consisted control input and synchronous machine response adaptive (APSS) controlling generator. During training, required memorize reverse input/output mapping machine. After output applied signal....
T2 hypointensity (black T2, BT2) in the deep grey matter of multiple sclerosis (MS) patients correlate weakly with disability at 1.5 T. BT2 is likely to be caused by abnormal iron deposition. We compared correlation between and measured on 3 T MRI 17 MS patients. observed a significant expanded status scale signal intensity globus pallidus caudate nucleus ( r = —0.5, P < 0.05). may useful measure associated warrants further study. Multiple Sclerosis 2007; 13: 880—883. http://msj.sagepub.com
The relationship between performance on information processing efficiency measures and MRI‐derived lesion volume including global regional T2 T1 volumes was investigated in 20 patients with relapsing–remitting multiple sclerosis (RRMS) secondary progressive (SPMS). Processing speed, as measured by the Sternberg Memory Scanning Test, significantly correlated posterior fossa slowed reaction time seven out of eight (six SPMS) any suggesting a ‘threshold effect’. capacity Salthouse Keeping Track...
As the amount of new energy injected into power system increases, inertia decreases and spatio-temporal characteristics become apparent. Due to uneven distribution in system, dispersion frequency response after disturbance is more pronounced, estimation error has a random nature when different measurement points are selected. For above problems, method proposed select point based on centre inertia. Firstly, dynamic characteristics, main influencing factors studied spatial temporal analyzed....
Abstract Sleep is indispensable for health and wellbeing, but its basic function remains elusive. The locus coeruleus (LC) powerfully promotes arousal by releasing noradrenaline. We found that noradrenaline transmission reduced prolonged wakefulness restored during sleep. Fiber-photometry imaging of using biosensor showed release evoked optogenetic LC neuron activation was strongly attenuated three hours sleep deprivation subsequent This accompanied the reduction recovery wake-promoting...
As a complex nonlinear system, the power system in operation may experience chaotic oscillation which can threaten stability of for unexpected events and uncertain factors. Initially, through considering factors such as generators, node voltage amplitude phase angle, this brief establishes fourth-order dynamic model two-parameter mathematical with load reactive mechanical input parameters to explore mechanism characteristics chaos theory. In addition, sliding mode controller based on...
Previous studies have revealed that typhoons can affect the ionosphere. This paper uses GNSS observations provided by Taiwan tracking stations, ERA5 gravity wave dissipation products, and Himawari-8 band 07 brightness temperature observation data to analyze impact of Typhoon Meranti on Taiwan's ionosphere from September 13 15, 2016. In addition daily effects traveling ionospheric disturbances (TIDs), TIDs various intensities caused Meranti-induced waves were observed during this period,...
In this paper, a multivariate cooperative internal mode control method based on RBF neural network (RBF-NN) inverse system is proposed to suppress the chaotic behavior in power system. Firstly, seven-dimensional model of controlled including energy storage (ES) and static var compensator (SVC) constructed, dynamics analyzed by local bifurcation diagram, attractor phase diagram timing merging crisis coexistence attractors are found under action low-frequency disturbance. Secondly, considering...