A5100332720- Video Surveillance and Tracking Methods
- Fault Detection and Control Systems
- Microgrid Control and Optimization
- Advanced Sensor and Control Systems
- Stability and Control of Uncertain Systems
- Advanced Algorithms and Applications
- Machine Fault Diagnosis Techniques
- Adaptive Control of Nonlinear Systems
- Simulation and Modeling Applications
- Advanced Image and Video Retrieval Techniques
- Fire Detection and Safety Systems
- Smart Grid Security and Resilience
- Atomic and Subatomic Physics Research
- Software Engineering Techniques and Practices
- Control Systems and Identification
- Human Pose and Action Recognition
- Quantum optics and atomic interactions
- Anomaly Detection Techniques and Applications
- Wind Turbine Control Systems
- Engineering Diagnostics and Reliability
- Power Systems and Renewable Energy
- Metallurgical Processes and Thermodynamics
- Remote Sensing and Land Use
- Power Systems Fault Detection
- Systems Engineering Methodologies and Applications
Universidad del Noreste
2025
Harbin Institute of Technology
2013-2025
Heilongjiang Institute of Technology
2025
Guangdong University of Technology
2025
Beijing Information Science & Technology University
2021-2024
Shandong Normal University
2022
Beijing Polytechnic
2022
North China Electric Power University
2002-2021
China Electric Power Research Institute
2021
University of Basel
2021
Deep learning technology has been widely used in fault diagnosis for chemical processes. However, most deep technologies currently adopted only use a single network stack or certain with multilayer perceptron (MLP) behind it. Compared traditional technologies, this method made progress both the accuracy and speed, but due to limited performance of network, speed cannot meet requirements greatest extent. In order overcome such problems, article proposes using multimodel fusion. Different from...
Clothing is one of the most informative cues human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded images. The key idea combining blocking models to address person-wise occlusions. contrary traditional layered model that tries solve full layer ranking problem, proposed partitions problem into series pair-wise ones and then determines local relationship based on individual contextual information. Thus, it capable dealing with...
Reversibly fluorescent switchable materials have important applications in the fields of ultrahigh-density optical data storage, molecular switches, logic gates, wires, optical/electronic devices, sensors, bioimaging and so on. Some systems been developed based on smart luminescent polymers organic photoswitchable molecules. However, use such for practical is dramatically restricted by their intrinsic drawbacks as low ON/OFF ratios, irreversibility poor environmental resistance. An...
This paper investigates the problem of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℋ</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>model reduction for a class of discrete-time Markovian jump linear systems (MJLSs) with deficient mode information, which simultaneously involves exactly known, partially unknown, and uncertain transition probabilities. By fully utilizing...
Although the MPB composition 0.42PNN-0.21PZ-0.37PT ceramic has high piezoelectric properties, its temperature stability at room is rather poor due to low phase-transition temperature. By texture engineering using BaTiO3 (BT) as template, of this material can be greatly improved. In range from up 140 °C, effective strain constant d33* 0.42PNN-0.21PZ-0.37PT-3BT only changed by 4.9% 1278 1215 pm/V, while nontextured counterpart 46.7% value 920 pm/V with maximum deviation 1350 80 °C. addition,...
The injection of pulverized coal into blast furnaces has alleviated the demand for metallurgical coke, and co-injection technology combining natural gas with high oxygen enrichment potential to further reduce coke use hence CO2 emissions. This work presents a steady-state operational model developed based on mass energy balance. With support industrial data from commercial furnace, matching relationship between rate, is quantitatively examined under constraints raceway adiabatic flame...
With the rapid development of high-throughput sequencing technology, data has grown on a massive scale, leading to emergence multiple public databases, such as EBI and GEO. Conducting secondary mining in these databases can yield more valuable insights. Meta-analysis quantitatively combine from same topic. It increases sample size for analysis, enhances statistical power, results consistent reliable conclusions. This study proposes new between-study variance estimator Em . We prove that is...
Although in vivo exposure therapy is highly effective the treatment of specific phobias, only a minority patients seeks therapy. Exposure to virtual objects has been shown be better tolerated, equally efficacious, but technology not made widely accessible yet. We developed an augmented reality (AR) application (app) reduce fear spiders and performed randomized controlled trial comparing effects our app (six 30-min sessions at home over two-week period) with no intervention. Primary outcome...
The smart grid initiative requires self-healing distribution systems with more accurate fault detection and classification techniques. A multi-sensor feeder-level algorithm is presented in this work, based on the techniques of support vector machine principal components. An IEEE 34-bus feeder model dynamic loading conditions used to evaluate developed algorithm. Noise three-phase current measurements applied. numerical analysis indicates that high accuracies are achieved for proposed
The development of single-cell RNA sequencing has enabled profound discoveries in biology, ranging from the dissection composition complex tissues to identification novel cell types and dynamics some specialized cellular environments. However, large-scale generation RNA-seq (scRNA-seq) data collected at multiple time points remains a challenge effective measurement gene expression patterns transcriptome analysis. We present an algorithm based on Dynamic Time Warping score (DTWscore) combined...
The substitution score for pairwise sequence alignment is essential in conducting multiple (MSA). Hidden Markov Model (HMM) and partition function are two methods that widely chosen this purpose. Recent studies showed the accuracy of could be improved by combining HMM algorithms or optimizing parameters HMM. However, combination optimized function, which greatly improve alignment, was ignored these studies. This study presents a new MSA algorithm known as ProbPFP combines particle swarm...
Abstract Based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and bat algorithm (BA) to optimize support vector machine, this paper proposed a combined model for short-term wind speed forecasting predict more accurately. Firstly, CEEMDAN was used decompose original time series into of subsequences different frequencies. Secondly, decomposed were forecasted by BA-SVM. Finally, results achieved superposing each predicted subsequence. The simulation suggest...
Owing to the encouraging pharmacological action and acceptable toxicity profile, Au(I) complexes have attracted growing interest in application of disease treatment. In order investigate their potential target proteins related bioinformation, herein, we screened four explored binding utilizing a competitive activity-based protein profiling (ABPP) strategy, including identification experiments reactivity classification experiments, which offers simple robust method identify complexes. We...
The development of modern power system is accompanied by many problems. growing proportion wind generation in grid gives rise to frequency instability problem. increasing load demand worsens the peak-to-valley difference Battery Energy Storage System (BESS) has capability regulation and peak shaving, but its high economic costs need be taken into consideration. To address this issue, paper proposes a sizing strategy for BESS with integration under condition shaving. In case eliminating...