Xingang Wang

ORCID: 0000-0002-8665-7024
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About
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Research Areas
  • Network Traffic and Congestion Control
  • Advanced Wireless Network Optimization
  • Wireless Networks and Protocols
  • Advanced Queuing Theory Analysis
  • Mobile Ad Hoc Networks
  • Software-Defined Networks and 5G
  • Industrial Technology and Control Systems
  • Islanding Detection in Power Systems
  • Access Control and Trust
  • Microgrid Control and Optimization
  • Simulation Techniques and Applications
  • Energy Efficient Wireless Sensor Networks
  • Fault Detection and Control Systems
  • Advanced Algorithms and Applications
  • Advanced Computational Techniques and Applications
  • Infrared Target Detection Methodologies
  • High Temperature Alloys and Creep
  • Software System Performance and Reliability
  • Security and Verification in Computing
  • Cryptography and Data Security
  • Robotic Mechanisms and Dynamics
  • Vehicular Ad Hoc Networks (VANETs)
  • Water resources management and optimization
  • Advanced Sensor and Control Systems
  • Hydrology and Watershed Management Studies

Inner Mongolia Electric Power (China)
2022-2025

Jiangsu University of Science and Technology
2023-2025

State Key Laboratory of Oncogene and Related Genes
2025

Shanghai Jiao Tong University
2009-2025

Shanghai Cancer Institute
2025

Chinese Academy of Sciences
2001-2024

Shandong Special Equipment Inspection Institute
2023

Xi'an Technological University
2022

Guangdong University of Petrochemical Technology
2022

Shandong Institute of Automation
2015-2021

Abstract This paper presents an experimental investigation of the fracture and fatigue crack growth properties Ti‐6Al‐4V produced by Wire + Arc Additive Manufacture (WAAM®) process. First, toughness was measured for two different orientations with respect to build direction; effect wire oxygen content strategy were also evaluated in light microstructure examination. Second, rates fully additive manufactured samples, as well samples containing interface between WAAM® wrought materials. The...

10.1111/ffe.12547 article EN cc-by Fatigue & Fracture of Engineering Materials & Structures 2016-11-29

This paper proposes a novel decentralized control strategy for multiparallel grid-forming distributed generations (DGs) in an islanded microgrid. Different from most existing droop-based hierarchical methods, the proposed scheme imposes fixed system frequency that is independent of load conditions. Additionally, proper point common coupling (PCC) voltage amplitude maintaining and proportional power sharing can be simultaneously achieved when dealing with variations DGs plug in/off. The...

10.1109/access.2019.2896594 article EN cc-by-nc-nd IEEE Access 2019-01-01

The COVID-19 pandemic has caused serious consequences in the last few months and trying to control it been most important objective. With effective prevention methods, epidemic gradually under some countries is essential ensure safe work resumption future. Although approaches are proposed measure people's healthy conditions, such as filling health information forms or evaluating travel records, they cannot provide a fine-grained assessment of risk. In this paper, we propose novel risk method...

10.1109/tnse.2021.3058762 article EN IEEE Transactions on Network Science and Engineering 2021-02-13

BEV perception is of great importance in the field autonomous driving, serving as cornerstone planning, controlling, and motion prediction. The quality feature highly affects performance perception. However, taking noises camera parameters LiDAR scans into consideration, we usually obtain representation with harmful noises. Diffusion models naturally have ability to denoise noisy samples ideal data, which motivates us utilize diffusion model get a better representation. In this work, propose...

10.1609/aaai.v38i7.28620 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Rain and sewage alternate constructed wetlands (CWs) provide a low-cost approach for the effective treatment of both rainwater wastewater containing heavy metals. However, impact seasonal variations on removal speciation metals, as well microbial characteristics within CWs, remains poorly understood. In this study, two lab scale CWs were established to investigate changes Pb levels in CW effluent soil during winter summer, analyze evolution soil. The findings revealed following: (1) During...

10.2139/ssrn.5085109 preprint EN 2025-01-01

Based on a Set Pair Analysis (SPA), the water eutrophication levels of Caiputai, Shaochedian, Wangjiazhai, Guangdianzhangzhuang, Zaolinzhuang, Duancun and Nanliuzhuang in Baiyangdian Lake were evaluated with five indices, including chemical oxygen demand (COD), total nitrogen (TN), phosphorus, secchi disk depth (SD) chlorophyll-a concentration. In SPA model, Classification Standard Eutrophication evaluation indices monitoring sites considered as set pair, depicted by five-element connection...

10.1016/j.proenv.2012.01.096 article EN Procedia Environmental Sciences 2012-01-01

Microgrid, a new type of power-supplying mode, has promising future. But it can hardly be controlled in traditional way due to its distributed characteristics and considerable control capabilities over the network operation. In order solve this problem improve efficiency reliability level Multi Agent-based framework is originally presented paper. A three-layer Agent System (MAS), including main grid agents, Microgrid agents component established based on proposed hierarchical coordinated...

10.1109/supergen.2009.5348277 article EN International Conference on Sustainable Power Generation and Supply 2009-04-01

The Laoguanhe River is a major tributary of the Danjiang River, which source water for Danjiangkou Reservoir (i.e., reservoir middle route South-to-North Water Diversion Project in China). This study was intended to provide scientific decision support help manage environment and maintain high quality levels diversion project. Risk assessment based on simulation undertaken this research. QUAL2Kw model used improve simulations under sparse data conditions. Latin hypercube sampling (LHS) flow...

10.3808/jei.201800387 article EN Journal of Environmental Informatics 2018-01-01

Since most of the cable-driven parallel manipulators (CDPMs) are small in dimension or low speed, self-weight inertia cable is neglected when dealing with problems kinematics, dynamics and workspace. The treated as a massless straight line, not discussed. However, camera robot large-span high-speed CDPM. Thus, cannot be negligible. curved due to modeled catenary accurately account for its sagging effect. Moreover, dynamic model derived by decomposing motion into an in-plane out-plane motion,...

10.3390/machines10070565 article EN cc-by Machines 2022-07-14

Scientific assessment of the health wetland ecosystem is an important prerequisite for management and protection. The Zoige a cold peat on eastern edge Tibetan Plateau in southwest China. By measuring organic matter nutrients from soil samples wetland, we found that there were connections between vegetation growth, since decomposition was source influenced by water content wetland. We therefore integrated cluster geochemical indicators soil, including content, total nitrogen, phosphorus...

10.1016/j.proenv.2012.01.145 article EN Procedia Environmental Sciences 2012-01-01

A water resources vulnerability (WRV) assessment is important to maintain safety in a basin. In this paper, an index system, including four subsystems -- the hydrological subsystem, socioeconomic eco-environment subsystem and hydraulic engineering constructed for integrated WRV of Zhangjiakou region Guanting Reservoir Basin, North China. The parametric-system (PS) method based on background value used quantitative each system. results calculations show that degree Basin quite serious, with...

10.1016/j.proenv.2012.01.114 article EN Procedia Environmental Sciences 2012-01-01

The remaining useful lifetime (RUL) of assets plays a critical role in machine prognostics and health management (PHM). Accurate RUL predictions can reduce losses caused by equipment faults. Most existing data-driven PHM methods rely on long short-term memory (LSTM) networks to model the relationship time series data RUL. However, because sequential nature LSTM, it is not conducive parallel computing. Herein, we propose Deep & Attention Network, which uses combination convolutional neural...

10.1109/icmre51691.2021.9384841 article EN 2021-02-03
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