- Smart Grid and Power Systems
- Optimal Power Flow Distribution
- Aquatic Ecosystems and Phytoplankton Dynamics
- Power Systems and Technologies
- Power Systems and Renewable Energy
- HVDC Systems and Fault Protection
- Wind Turbine Control Systems
- Water Quality and Pollution Assessment
- Complex Network Analysis Techniques
- Electric Motor Design and Analysis
- Power System Optimization and Stability
- Soil and Water Nutrient Dynamics
- High-Voltage Power Transmission Systems
- Anomaly Detection Techniques and Applications
- Islanding Detection in Power Systems
- Machine Fault Diagnosis Techniques
- Advanced Data Compression Techniques
- Magnetic Bearings and Levitation Dynamics
- Sustainability and Ecological Systems Analysis
- Real-time simulation and control systems
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
- Power System Reliability and Maintenance
- Time Series Analysis and Forecasting
- Machine Learning in Healthcare
Harbin Engineering University
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2023
Hohai University
2005-2022
Tianjin University
2012-2022
China Automotive Technology and Research Center
2017-2022
Songjiang District Central Hospital
2022
Economic Research Institute
2021
China University of Mining and Technology
2017-2020
Jiangsu University
2017
State Grid Corporation of China (China)
2015
High-quality vinegars are traditionally produced by aging them in barrels or bottles. However, these processes very time-consuming. To accelerate of Zhenjiang vinegar maturation, the ultrasound was used to treat steeped vinegar. Results showed that, optimum ultrasonic power, time and ethanol addition for were determined be 50W/100mL, 75min 0.75% (V/V), respectively. Under experimental conditions, total amino acid fresh decreased from 1082.259mg/100mL 871.045mg/100mL. Several volatile...
Multi-view learning has progressed rapidly in recent years. Although many previous studies assume that each instance appears all views, it is common real-world applications for instances to be missing from some resulting incomplete multi-view data. To tackle this problem, we propose a novel Latent Heterogeneous Graph Network (LHGN) learning, which aims use multiple views as fully possible flexible manner. By unified latent representation, trade-off between consistency and complementarity...
To reduce the effect of estimation position angle error caused by mutual inductance on sensorless control switched reluctance motor (SRM) in clear command channel mode, a SRM rotor method is presented. Using this method, can be eliminated without measuring inductance. First, different working states are analysed. When at single‐phase excitation, ignored, model used to estimate angle. two‐phase excitation situation, non‐zero, based flux linkage‐difference new eliminate influence. Finally,...
This paper proposes an Android malware detection approach based on attack tree. Attack tree model is extended to provide a novel way organize and exploit behavior rules. Connections between goals application capability are represented by structure rules assigned every path in the In this way, fine-grained comprehensive static estimation dynamic can be achieved. employs hybrid static-dynamic analysis method. Static tags nodes capability. It filters obviously benign applications highlights...
Automated ICD coding via machine learning that focuses on some specific diseases has been a hot topic. As one of the leading causes death, coronary heart (CHD) have seldom specifically studied by related research, probably due to lack data concretely targeting at diseases. Based Fuwai-CHD and MIMIC-III-CHD, which are private dataset from Fuwai Hospital CHD-related subset public named MIMIC-III respectively, this study aimed automated CHD deep method, mainly consists three modules. The first...
In this paper, a new criterion to quickly evaluate the system transient stability based on wide area measurement (WAMS) information, energy function method and adjoint power (APS) model is proposed. APS two-dimensional-first-order differential equation model, which can be considered as virtual representation real system. Meaning of first explained by using one machine infinite bus Then, projection kinetic proposed determine original with multiple generators. Trajectory prediction curve...
Abstract Background Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from field heavily relies conventional bag-of-words (BoW) as the feature extraction method, and do not commonly use more complicated methods, such word2vec ( W2V ) large pretrained models like BERT . This study aimed at uncovering most effective methods for by comparing BoW , variants. Methods We experimented with Chinese dataset Fuwai Hospital, which contains 6947 records...
Edge-based percolation methods can be used to analyze disease transmission on complex social networks. This allows us include heterogeneity in our models while maintaining tractability. Here we review the seminal works this field by Newman et al (2001); (2002, 2003), and Miller (2012). We present a systematic discussion of theoretical background behind these models, including an extensive derivation major results. also connect results relate back classical literature random graph theory...
A new partition‐composition method for online detection of transient stability interconnected power system with the data from wide area measurement (WAMS) is proposed. It consists two parts: partition and composition. In step, grids are divided into several local areas according to their geographical locations or ownership. Each modelled as an adjoint (APS) determine its own synchronism. composition entire grid evaluated by APS model composed key parameters areas, which can be directly...
The increasing growth of doubly-fed induction generators (DFIG) in wind farms requires attention to understanding its short-circuit behaviour order meet grid code requirements. DFIG model has been well known for years, but many application uncertainties still persist and their impact on calculation be fully understood. This paper attempts clarify the influence different models simulation results obtained from DIgSILENT PowerFactory. It further investigates under various operating conditions...
2016年太湖发生特大洪水,水位达到历史第二,入湖水量比平均年多60.8亿m<sup>3</sup>.而从2016年开始太湖磷指标改变了2010年以来平缓下降的趋势出现回升,也就是出现所谓“磷反弹”的问题.为了研究磷反弹和特大洪水之间的关系,本研究从2016年入湖水量、水质、磷通量、水中磷存量以及磷在太湖中的迁移过程出发,对大洪水前后太湖磷的变化进行分析.结果表明:洪水期间入湖河道带来大量的磷是引起磷反弹的主要原因.由于洪水的影响,2016年磷净入湖通量比往年平均水平多出579.2 t,约达到1683.0 t.其中,两次洪水贡献极大,约占全年水平的50%(6-7月和10月的洪水分别带入580.5和268.2 t磷).磷反弹的另一个原因在于太湖存在较高的磷滞留率,磷在入湖后很难经由出湖河道排出.从入湖后磷的归趋上看,洪水过程中高磷浓度水块尽管存在由太湖西北部向东、南部迁移的过程,但途中水体磷浓度出现显著降低(即滞留现象),导致高磷浓度水块未能到达出湖排泄区(太浦港、望虞河等).全年净入湖磷通量中仅有小部分(205.3...
针对"引江济太"工程将总磷浓度偏高的长江水引入太湖后对2016年后太湖总磷反弹的影响,本文实测并收集整理了2016年前后"引江济太"调水入湖水量、磷通量及全太湖入湖水量、磷通量与太湖磷存量等数据,对2016年前后"引江济太"调水入湖水量、磷通量、磷形态与其他入湖河道水量、磷通量、磷形态以及全太湖的水质、受水区贡湖的水质进行了分析.结果表明:2016年前后,"引江济太"年均入湖磷通量为97.56 t,年均入湖水量为8.16亿m<sup>3</sup>,从调水量、入湖磷通量、调水后短期磷响应及各湖区磷增量来看,"引江济太"与2016年后太湖总磷反弹相关性不强."引江济太"调水累计入湖磷通量为877.97...
Due to the ubiquity of time series data, classification has important applications in a wide range practical scenarios. In this paper, we propose novel ensemble approach which combines two state-of-the-art classifisers: KMeans-DBA-KNN (K-D-K) and Long Short-Term Memory (LSTM). We demonstrate effectiveness our by comparing with algorithms on benchmark time-series datasets, show that algorithm outperforms existing ones.
Enclosure partitioning approaches, such as Treemaps, have proved their effectiveness in visualizing large hierarchical structures within a compact and limited display area. Most of the Treemaps techniques do not use node-links to show structural relations. This paper presents new tree visualization approach known Drawer-Tree that can be used present structure, organization interrelation big data. By utilizing space with traditional node-link visualization, we developed novel method for high...
Abstract Phosphorus circulation in Taihu Lake has attracted extensive attention, but the contribution of Microcystis to phosphorus this area is unknown. In study, concentrations algal samples collected from lake 2015–2016 were determined laboratory. From concentration data, total quantity was calculated and seasonal variations examined. The results indicated that intracellular content varied 0.044 0.130 pg/cell tended be high spring low summer. amount ranged between 7.78 97.32 t over study...
Edge-based network models, especially those based on bond percolation methods, can be used to model disease transmission complex networks and accommodate social heterogeneity while keeping tractability. Here we present an application of edge-based the spread syphilis in Kingston, Frontenac Lennox & Addington (KFL&A) region Southeastern Ontario, Canada. We compared results using a network-based susceptible-infectious-recovered (SIR) generated from traditional mass action SIR model. found that...
This paper proposes a new rotor broken bar fault injection method which is based on equivalent circuit parameter for traction motor int he hardware-in-t he-loop simulation plat form of CRH2 high speed train. Feature information are extracted and analyzed in detail first, then relationships between squirrel cage faults feature parameters established. In order to validate the effective this method, some experiments were carried out. The results show injector can obtain better performance under...
Agricultural system is a typical complex system. However, available complexity science failed to reveal the essence of In this paper, based on virtual reality world and new thermodynamic law, novel model for evolution evaluation agricultural constructed. Basing simulation technique how our just an image thrown up from realty, case Zhejiang used show application model. It hope that not only supplies instructions sustainable development agriculture, but also finds wider applications in...
Research on driving behaviors with machine learning methods is one of the major fields in intelligence vehicles, which includes varieties analytic and simulation methods. Here our team propose three different approaches to tackle this problem real drivers collected data set, road performances we compared those their accuracy rate, results showed that models are purposing, DWT (Discrete Wavelet Transform) - SVM (Support Vector Machine), DTW (Dynamic Time Warping) kNN (k Nearest Neighbors)...
The purpose of this paper is to present two novel methods improving low voltage ride-through (LVRT) capacity doubly fed induction generator (DFIG) wind turbines.The first one, combining regular crowbar protection and three switches, enabled us not consider the insulation rotor inverter when choosing value resistance.The switches were connected in series with windings between inverter.In second a dynamic resistor (SDR) was put DC capacitor inverter.This method made DFIG turbines have ability...
The impact of distributed generation on a local sub-transmission system or distribution was studied in the paper.DGs operating models for dynamic stability analysis were obtain, and an optimal penetration DGs decision method proposed to maximize level DG system.A modified IEEE 39-Bus test with is used prove validity method.
The optimal placement and power level of the different types generation units is a non-convex optimization problem. technology modeling renewable energy distribute wind photovoltaic were introduced, heuristic method for monitoring distributed generators at sub-transmission distribution levels electric network was proposed in paper. A test system with DGs used to prove validity method.