Jun Gui

ORCID: 0000-0003-3915-929X
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About
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Research Areas
  • Human Mobility and Location-Based Analysis
  • Complex Systems and Time Series Analysis
  • Traditional Chinese Medicine Studies
  • Complex Network Analysis Techniques
  • Traditional Chinese Medicine Analysis
  • Cloud Computing and Resource Management
  • Impact of AI and Big Data on Business and Society
  • Blind Source Separation Techniques
  • Fault Detection and Control Systems
  • Advanced DC-DC Converters
  • Machine Fault Diagnosis Techniques
  • Multilevel Inverters and Converters
  • Opportunistic and Delay-Tolerant Networks
  • Video Analysis and Summarization
  • Chaos control and synchronization
  • Water-Energy-Food Nexus Studies
  • Advanced Database Systems and Queries
  • Geophysics and Sensor Technology
  • Advanced Algorithms and Applications
  • Industrial Automation and Control Systems
  • Inertial Sensor and Navigation
  • Time Series Analysis and Forecasting
  • Systemic Sclerosis and Related Diseases
  • Integrated Energy Systems Optimization
  • Image Retrieval and Classification Techniques

First Affiliated Hospital of Wenzhou Medical University
2024

Wenzhou Medical University
2024

Shenyang University of Technology
2011-2021

Chinese Academy of Sciences
2019-2020

Shenyang Institute of Automation
2019-2020

University of Chinese Academy of Sciences
2019-2020

In this paper, we propose a novel intelligent model, called AttentiveHerb, for simulating the doctor's inquiry and prescription that is composed by series of herbs. It can automatically simulate some principles learns interaction between symptoms herbs from clinical records traditional herbal medicine. This model consists two different attention mechanisms distinguishing main paying to symptoms. By experiments, in terms predicted prescriptions, 51% total cases are full accordance with...

10.1109/access.2019.2941503 article EN cc-by IEEE Access 2019-01-01

10.1016/j.physa.2020.125633 article EN Physica A Statistical Mechanics and its Applications 2020-12-19

10.1016/j.physa.2019.03.100 article EN Physica A Statistical Mechanics and its Applications 2019-03-27

<h3>Background:</h3> Systemic lupus erythematosus, characterized by a severe autoimmune disease with strong individual heterogeneity, is particularly important to study the risk factors that affect its prognosis in order determine patient outcome and treatment. Currently, numerous studies have proven EBV infection can onset of SLE. Nevertheless, due diverse clinical manifestations SLE complex status EBV, it difficult predict prognostic patients systemic erythematosus infection....

10.1136/annrheumdis-2024-eular.1072 article EN Annals of the Rheumatic Diseases 2024-06-01

This paper analyzes the mathematical model of three-level PWM rectifier in three-phase stationary coordinate system and two-phase synchronous rotating system. On this basis, PI current double closed-loop decoupling control strategy is used to eliminate impact between d-q axis relieve independent two axes. In order simplify complexity vector synthesis, space modulation (SVPWM) algorithm studied. Transform reference synthesis two-level. The theoretical analysis are verified with...

10.4028/www.scientific.net/amm.385-386.1179 article EN Applied Mechanics and Materials 2013-08-01

In the field of Permanent Magnet Synchronous Motor (PMSM) control, SVPWM method is one new techniques have been developed in recent years. This paper presented method, including reference voltage projection and space vector duration calculation. Then simulation results also are presented.

10.4028/www.scientific.net/amr.580.320 article EN Advanced materials research 2012-10-01

Dynamic scheduling of a set algorithms is key problem for data analysis platform. In this paper, we propose an approach to efficiently execute and monitor algorithms. Our classifies all into timing tasks, realtime tasks C equal interval times configures them separately. An intelligent strategy performs configuration checking before dynamically. The execution each algorithm monitored controlled according feedbacked operating information. Based on approach, develop platform with more than 100...

10.1109/icbda.2019.8712841 article EN 2019-03-01

The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomogeneous activities have been described by bursts (consecutive separated long periods inactivity) and characterized fat-tailed inter-event time (interval between two activities) distributions. However, the dynamics number activity duration are still unclear. In this study, we analyzed 133 million toll-free call records from China to study frequency duration. We confirmed that both exhibit...

10.1371/journal.pone.0230592 article EN cc-by PLoS ONE 2020-03-26

Modern information technology makes it possible to understand, model and predict human activities by analyzing electronic traces of behavior. In this work, we analyze more than 30 million Call Data Records (CDRs) investigate statistical properties temporal calling We find that ranked call frequency each number can be described a two-stage power law function. The distribution duration is much different bimodal log-normal Further, confirm both are related with circadian cycles. During...

10.1109/iccc47050.2019.9064375 article EN 2019-12-01

In response to the requirement of a large amount historical data storage and difficulty analysis visualization in industrial equipment acquisition system, compression method based on operation condition identification is proposed this paper. The firstly sets dead zone limit value for each dimensional time series according change multi-dimensional collected from equipment; then, grounds whether piece meets limit, collecting information marking labels; finally, label, compressed into matrix...

10.1109/icecce49384.2020.9179444 article EN 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2020-06-01

Based on the theoretical analysis and experimental study of MSMA dual-coil self-sensing actuator, this paper attemped to analyze show design structure principle single-coil actuator. By establishing a model actuator used by ANSYS finite element-edge element method, thesis intends magnetic field distribution under excitation voltage changes further explore practical value promising prospect in engineering application with help drawing flux density curves EI silicon steel sheet changing voltage.

10.1109/mace.2011.5986942 article EN 2011-07-01

Rolling bearings play an important role in mechanical equipment. Abnormal state detection of rolling is significant to avoid industrial accident. In this paper, we use Distribution-based States Extraction (DBSE) approach detect and analyze the abnormal bearings. We apply DBSE on three different datasets. Each dataset contains time series horizon acceleration vertical right before a specific fault bearing. The results show that able extract normal states all faults effective for prediction....

10.1109/iccc47050.2019.9064063 article EN 2019-12-01
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