- Advanced Computational Techniques and Applications
- Occupational Health and Safety Research
- Energy Efficient Wireless Sensor Networks
- Risk and Safety Analysis
- Mobile Ad Hoc Networks
- Water Systems and Optimization
- Power Systems and Technologies
- Infrastructure Maintenance and Monitoring
- Water resources management and optimization
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Statistical Methods in Clinical Trials
- Technology and Security Systems
- Advanced Sensor and Control Systems
- Traffic control and management
- Traffic and Road Safety
- Civil and Geotechnical Engineering Research
- Evacuation and Crowd Dynamics
- Safety Warnings and Signage
- Drilling and Well Engineering
- Security in Wireless Sensor Networks
- Hydraulic and Pneumatic Systems
- Landslides and related hazards
- Chinese history and philosophy
- Embedded Systems and FPGA Design
Changjiang Water Resources Commission
2018-2025
China Three Gorges University
2010-2024
Second Affiliated Hospital of Jilin University
2024
Jiangsu University
2015-2022
Fuzhou University
2021
London Centre for Nanotechnology
2018
Imperial College London
2018
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute
2017
Apotex (Canada)
2015-2016
Jeju National University
2014
Many human errors occur in hydraulic engineering construction, and these may lead to huge financial losses. A systematic comprehensive accident analysis is required reduce the probability of error. Human error a lengthy challenging process because tendency for data be presented text format. In addition, construction management requires an intelligent efficient system ensure timeliness prevention control. Thus, this study proposes on basis mining automatically extract knowledge reveal...
A SWAT (soil and water assessment tool) model was built to elucidate the spatiotemporal dynamic changes in blue/green resources during 1980–2019 Hanjiang River Basin, China. Several scenarios were constructed analyze differentiation between green blue diverse climate land utilization conditions. The results showed that (1) mean 392.24 410.48 mm/year; (2) a non-significant fluctuating decreasing trend, while increasing trend volume; (3) high-value areas of concentrated western, northeastern,...
A project needs to be able anticipate potential threats, respond effectively adverse events, and adapt environmental changes. This overall capability is known as resilience. In order make efficient decisions when the subjected disruption, such adjusting budget, reformulating work plan, rationalizing allocation of resources, it necessary quantitatively understand level Therefore, this paper develops a novel approach for forecasting performance, illustrating changes in performance levels...
The construction industry continues to be one of the industries with highest accident rate. Tower cranes have always been central component many operations. With recent advancements in tower cranes, more efforts made for their safe operation. impact natural environmental factors on operation cannot ignored, especially wind load, which can found regulations worldwide. Therefore, a large number studies focused exploring different approaches improving loads, such as improved feedback...
Here we examine the organ level toxicology of both carbon black (CB) and silver nanoparticles (AgNP). We aim to determine metal-specific effects respiratory function, inflammation potential interactions with lung lining fluid (LLF). C57Bl6/J male mice were intratracheally instilled saline (control), low (0.05 μg/g) or high (0.5 doses either AgNP CB 15 nm nanospheres. Lung histology, cytology, surfactant composition inflammatory gene expression, pulmonary function measured at 1, 3, 7 days...
Abstract Angularity and sphericity of sand particles significantly influence the shear strength, compressibility, void structure, deformation behavior soils. However, current computational geometry (CG) algorithms face challenges in simultaneously charactering angularity sphericity, as well handling defective granular three-dimensional(3D) mesh. To address these efficiency robustness limitations, this paper introduces PointConv-Transformer deep learning algorithm for characterization...
The electric power industry is a high-risk with frequent accidents. To ensure the life safety of employees and reduce probability accidents, it necessary to utilize certain technical means identify main causative factors in fatal accident reports. This research proposes an causation identification method that combines text categorization catastrophe association analysis. First, improved feature extraction (TF-IDF-GloVe-LDA) proposed by fusing term frequency-inverse document frequency...
Abstract Massive irrigation across eastern China (EC) could reduce extreme heat by altering energy and water budgets. However, the effect on increasing humidity has often been missed, especially in humid regions, leaving its mechanism (EHH) poorly characterized. We analyzed assemblies of observations performed regional simulations with more detailed scheme to explore impacts potential mechanisms EHH. find that EC, despite having a cooling about 0.2–0.6C, leads an increase 0.4–0.8C EHH,...
Internet of Things technology improves the state awareness level power grid equipment through large-scale sensor collaboration and information communication network. In this paper, application LoRa low wide area interconnection things in overhead line perception is studied. LoRa-based three-tier network architecture low-power wide-area for lines proposed.This paper analyzed encryption between sensors modules, modules base stations, stations stations. A design scheme miniaturized state-aware...
Due to climate change and human activities, the assumption of stationarity hydrological variables will no longer hold. Moreover, stochastic uncertainty introduces huge challenges for water managers. To address nonstationarity randomness, a new methodology called nonstationary simulation–based allocation approach is proposed optimize regional management. This objective achieved via four steps. First, generalized additive model chosen analyze probability distribution series. Second, Monte...
This paper describes a method of detecting and monitoring human activities which are extremely useful for understanding behaviors recognizing interactions in social network. By taking advantage current wireless sensor network technologies, physical can be recognized through classifying multi-modal sensors data. The result shows that high recognition accuracy on dataset 6 daily one carrier achieved by using suitable classifiers.
Technological advancements have made it possible to use information associated with a mobile's location form new computing and services. One concern these emerging location-based services (LBS) is their ability provide security while remaining reliable accurate. In this paper, we focus on securing Mobile Location-based Services (MLBS), where certain goods or are provided by mobile vendors clientele based the proximity of potential customers. We identify different attacks misuse faced MLBS,...
In this paper, we propose an energy-balanced cross-layer multi-path routing algorithm for wireless Ad hoc networks. This utilizes information of the network nodes and can balance energy consumption in flow distribution under situation that topology is maintained unchanged; moreover, transmission power be adjusted process to meet communications requirements save limited energy; while changes at random, adjust routing, prolong survival time according comprehensive nodes. way, simulation...
The electric power industry in China has experienced significant growth recent years. Despite efforts to improve safety management the industry, accidents still occur frequently. This study aimed analyze personal casualty from 2012 2021. Specific methods used include descriptive analysis, principal component and Theil index model. results indicated that fall, shock, collapse were primary types of accidents, accounting for 59.65 % all accidents. Accidents higher April August, but lower...