Wen Ouyang

ORCID: 0000-0001-5558-7804
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About
Contact & Profiles
Research Areas
  • Electric Motor Design and Analysis
  • Magnetic Bearings and Levitation Dynamics
  • Energy Efficient Wireless Sensor Networks
  • Advanced Graph Neural Networks
  • Wave and Wind Energy Systems
  • Complex Network Analysis Techniques
  • Simulation and Modeling Applications
  • Indoor and Outdoor Localization Technologies
  • Sensorless Control of Electric Motors
  • Wireless Power Transfer Systems
  • Advanced Image Fusion Techniques
  • Advanced Sensor and Control Systems
  • Advanced Algorithms and Applications
  • Urban Transport and Accessibility
  • Energy Harvesting in Wireless Networks
  • Service-Oriented Architecture and Web Services
  • Mobile Agent-Based Network Management
  • Transportation Planning and Optimization
  • Solar Radiation and Photovoltaics
  • Underwater Vehicles and Communication Systems
  • Smart Parking Systems Research
  • Evacuation and Crowd Dynamics
  • Graph Theory and Algorithms
  • Fire Detection and Safety Systems
  • Induction Heating and Inverter Technology

Tencent (China)
2022-2024

Xi'an Shiyou University
2023-2024

Chung Hua University
2010-2023

Aurora Flight Sciences (United States)
2020-2023

Liuyang City Maternal and Child Health Hospital
2022

PLA Information Engineering University
2019-2020

AbbVie (United States)
2014-2018

ABB (United States)
2017

China Three Gorges University
2013-2014

Jingchu University of Technology
2012

A magnetically geared machine (MGM) integrates a magnetic gear with low-torque, high-speed electric to create single compact high-torque, low-speed device the size advantages of mechanically system and reliability direct drive machine. This work investigates use MGMs for wave energy conversion through development large-scale decoupled inner stator radial flux generator rated 10 kW at an input speed 30 r/min. Critical design trends are illustrated using parametric two-dimensional...

10.1109/tia.2018.2828383 article EN publisher-specific-oa IEEE Transactions on Industry Applications 2018-04-18

Graph neural networks (GNNs) have achieved great success in many graph-based applications. However, the enormous size and high sparsity level of graphs hinder their applications under industrial scenarios. Although some scalable GNNs are proposed for large-scale graphs, they adopt a fixed $K$-hop neighborhood each node, thus facing over-smoothing issue when adopting large propagation depths nodes within sparse regions. To tackle above issue, we propose new GNN architecture -- Attention...

10.1145/3534678.3539121 article EN Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022-08-12

Cogging torque in flux-switching permanent-magnet (FSPM) machines is relatively high compared with that of other types PM because their unique doubly salient structure. Reducing the cogging FSPM machine particular importance to make it a viable alternative conventional rotor-PM machines. A new pole shaping method has been proposed reduce torque. The validity confirmed by analytical methods and finite-element-analysis-based simulation. influence on back-electromotive force (EMF) average...

10.1109/tia.2015.2416238 article EN IEEE Transactions on Industry Applications 2015-03-24

The rapid development of wireless power transfer technology brings forth innovative vehicle energy solutions and breakthroughs utilizing sensor networks (WSNs). In most existing schemes, rechargeable (WRSNs) are generally equipped with one or more charging vehicles (vehicles) to serve nodes (SNs). These schemes solve the issue some extent; however, due off-road speed limitations vehicles, SNs still cannot be charged in time, negatively affecting lifetime networks. Our work proposes a new...

10.1109/access.2020.2975635 article EN cc-by IEEE Access 2020-01-01

Graph neural networks (GNNs) have achieved state-of-the-art performance in various graph-based tasks. However, as mainstream GNNs are designed based on the message passing mechanism, they do not scale well to data size and steps. Although there has been an emerging interest design of scalable GNNs, current researches focus specific GNN design, rather than general space, limiting discovery potential models. This paper proposes PaSca, a new paradigm system that offers principled approach...

10.1145/3485447.3511986 article EN Proceedings of the ACM Web Conference 2022 2022-04-25

The objective of this study was to evaluate the effects pre-exercise L-citrulline supplementation on athletic performance Yili speed-racing horses during a high-intensity exercise. On 20th day experiment, blood samples were collected at 3 h and 6 post-supplementation measure amino acid polyamine concentrations. 38th participated in 2000 m speed race, three distinct gathered for assessing gases, hematological parameters, plasma biochemistry, antioxidant NO results indicate that group showed...

10.3390/ani14162438 article EN cc-by Animals 2024-08-22

The complexity of the permanent magnet (PM) machine structure makes optimal design PM always a difficult task. multiple objectives an make most classic optimization algorithms inapplicable, due to nonlinearity and some discontinous variables. In this paper, two interior (IPM) practices with modular stator conventional are discussed. process is directly coupled finite-element analysis (FEA) guidelines embedded in process. Multivariable methods based on Monte Carlo differential evolution...

10.1109/ias.2006.256796 article EN Conference record 2006-10-01

Recent works reveal that feature or label smoothing lies at the core of Graph Neural Networks (GNNs). Concretely, they show combined with simple linear regression achieves comparable performance carefully designed GNNs, and a MLP model its prediction can outperform vanilla GCN. Though an interesting finding, has not been well understood, especially regarding how to control extent smoothness. Intuitively, too small large iterations may cause under-smoothing over-smoothing lead sub-optimal...

10.48550/arxiv.2110.14377 preprint EN other-oa arXiv (Cornell University) 2021-01-01

The fluctuation in solar photovoltaic (PV) generation system causes inefficiency PV power management. Thus, predicting is essential to assist improving the overall performance of a plant operation. In this paper, forecasting model with multiple Gated Recurrent Unit (GRU) networks proposed effectively improve prediction accuracy and training time compared typical GRU network. addition, other popular machine learning algorithms, namely Feed-forward Artificial Neural Network (ANN), Support...

10.1109/icaiic.2019.8668970 article EN 2019-02-01

Network traffic generation is very important for testing network equipment, services, and security products. The paper firstly introduces the significance classification of generation. Then, chronologically categorizes research activities into three different methods: 1) based on model; 2) characteristics; 3) application protocol. Thorough reviews major achievements each kinds are conducted. Finally, identifies some open issue points out possible future directions in area.

10.1049/cp.2015.0862 article EN 2015-01-01

For both charging and discharging series-connected batteries, charge equalization is necessary in order not to influence battery cycle life. This paper proposes a bi-directional circuit for batteries. In addition balance discharging, this can improve the output voltage regulation resist reduction when SOC (state of charge) low. A DSP processor adopted perform control tasks. Experiments were implemented verify feasibility circuit.

10.1109/peds.2005.1619940 article EN 2006-04-28

The fast advancement of Wireless Sensor Network (WSN) technologies has initiated different perspectives for applications from traditional wireless networks and wire networks. For example, they can be set up in indoor environments which integrate varieties sensors with network capabilities to provide environment monitoring or personnel location monitoring. Zig Bee is a commonly used transmission technology positioning. However, the accuracy positioning usually far satisfactory due strength...

10.1109/msn.2011.36 article EN 2011-12-01

A magnetically geared machine (MGM) integrates a magnetic gear with low torque, high speed electric to create single compact device the size advantages of mechanically system and reliability direct drive machine. This work investigates use MGMs for wave energy conversion through development large scale decoupled inner stator radial flux generator rated 10 kW at an input 30 rpm. Critical design trends are illustrated using parametric 2D 3D finite element simulation results. Information is...

10.1109/ecce.2017.8096848 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2017-10-01

This article presents power conversion and control of a novel low-speed radial-flux magnetically-geared permanent magnet generator (MGPMG) for wave energy conversion. The designed developed by ABB Corporate Research has magnetic-gear integrated into the structure, which amplifies low speed converter (WEC) to high rotor facing stator windings. is with large number poles concentrated windings simpler cost-effective design. However, due windings, induced voltage contains significant percentage...

10.1109/tia.2020.2997640 article EN IEEE Transactions on Industry Applications 2020-05-25

Network motif is a kind of frequently occurring subgraph that reflects local topology in graphs. Although network has been studied graph analytics, e.g., social and biological network, it yet unclear whether useful for analyzing online transaction generated applications such as instant messaging e-commerce. In this work, we analyze networks from the perspective motif. We define vertex features based on size-2 size-3 motifs, introduce motif-based centrality measurements. further design...

10.1145/3534678.3539096 article EN Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022-08-12

With the improvement of soft magnetic composite (SMC) material, electric machine design is no longer limited to traditional iron lamination technology. The single extrusion fabrication process SMC material simplifies construction armature core. Moreover, isotropic property can be exploited for various structure design, compared with 2D flux distribution typical laminations. In this paper, a drive system based on novel multi phase modular permanent magnet proposed. concentric winding stator...

10.1109/icems.2005.202519 article EN International Conference on Electrical Machines and Systems 2005-01-01

Modular permanent magnet machines are gaining popularity due to their simple stator construction and machine winding fabrication. In this paper, a multiphase modular is proposed obtain robust drive system with the feature of fault tolerant capability. By making use concentric on each module, structure simplified benefit less end loss, which also offers operation standard half-bridge control or even independent phase control. investigation, PM tooth pole ratio close unity design based soft...

10.1109/apec.2009.4802774 article EN 2009-02-01

Wireless sensor nodes are commonly deployed in outdoor or hazardous environments. Due to limited resources and power consumption required perform tasks, these may experience shortages thus lead the disconnection of whole wireless network. To prolong lifetime network, new technologies developed wirelessly recharge via mobile machines. Previous works have considered applying charging elevate network without defining performance optimization. In addition, effect speed machines, chargingspeed,...

10.6138/jit.2012.13.2.11 article EN 網際網路技術學刊 2012-03-01

Modular permanent magnet machines are gaining popularity for their ease in assembling the stator pieces and phase windings. In this paper, a multiphase modular machine with corresponding drive topology is proposed as high performance system. The modules fabricated by soft magnetic composite (SMC) material, which benefits large scale fabrications one punch fabrication process modules. Moreover, its isotropic material property can be exploited various structure design compared 2D flux...

10.1109/iemdc.2007.382768 article EN 2007-05-01

Cogging torque in flux-switching permanent magnet machines (FSPMs) is relatively high compared with other types of PM because their unique doubly salient structure. Reducing the cogging FSPM machine particular importance to make it a viable alternative conventional rotor-PM machines. A new pole shaping method has been proposed reduce torque. The validity confirmed by analytical methods and finite element analysis based simulation. influence on back-EMF average electromagnetic have also investigated.

10.1109/ecce.2013.6646890 article EN 2013-09-01

10.1007/s11277-014-2058-7 article EN Wireless Personal Communications 2014-09-19

Due to the fast advancement of network technologies, study service-oriented architectures (SOA) has attracted much attention recently, taking advantage benefits distributed computing and integration. Web service is a very popular widely accepted implementation SOA. The use services holds advantages loosely-coupled system where all components can be developed at independent platforms connected with protocols via network. However, tendency for methods applying over getting more complex. Many...

10.1109/apscc.2008.174 article EN 2008-12-01

The orthogonal variable-spreading-factor (OVSF)-CDMA systems can support multimedia applications with different bandwidth requirements. Code management schemes, including code placement and replacement, significantly impact the utilization of system. Many researches have studied these two closely related problems are solving them independently. For optimality concerns minimization reassignment number. There is no definition about yet. We formally define for schemes presented a novel graph...

10.1109/futuretech.2010.5482700 article EN 2010-01-01

Most small induction motors in current use employ concentric windings which have equal numbers of turns per coil. An optimal choice can achieve better distribution MMF the gap while keeping each slot essentially same. In this paper, air magnetic motive force (MMF) harmonics electrical machine created by stator with sinusoidal injection are investigated. The is modeled ideally a linear winding function, simplifies expression significantly neglecting effects and saturation for uniform air-gap...

10.1109/icems.2005.202492 article EN International Conference on Electrical Machines and Systems 2005-01-01
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