A5103151252- Membrane Separation Technologies
- Membrane-based Ion Separation Techniques
- Advanced MEMS and NEMS Technologies
- Mechanical and Optical Resonators
- Air Quality and Health Impacts
- Civil and Geotechnical Engineering Research
- Photonic and Optical Devices
- Fuel Cells and Related Materials
- Geomechanics and Mining Engineering
- European and International Law Studies
- Nanopore and Nanochannel Transport Studies
- Grouting, Rheology, and Soil Mechanics
- European Politics and Security
- Atmospheric chemistry and aerosols
- Toxic Organic Pollutants Impact
- Global Political and Economic Relations
- Video Surveillance and Tracking Methods
- Advanced biosensing and bioanalysis techniques
- Conducting polymers and applications
- Biosensors and Analytical Detection
- Anomaly Detection Techniques and Applications
- Education and Work Dynamics
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced Sensor and Energy Harvesting Materials
- Educational Technology and Assessment
Tianjin University of Technology and Education
2024
Yunnan University
2023
Shenzhen Technology University
2023
Nanjing University of Information Science and Technology
2022
Huazhong University of Science and Technology
2013-2021
Shandong Jianzhu University
2018-2021
South China Normal University
2005-2016
Nanjing University
2013
Yangzhou Vocational University
2010-2011
Jiangsu Maritime Institute
2010
In the Vehicular Ad hoc Networks (VANET) environment, recognizing traffic accident events in driving videos captured by vehicle-mounted cameras is an essential task. Generally, accidents have a short duration videos, and backgrounds of are dynamic complex. These make detection quite challenging. To effectively efficiently detect from we propose approach based on spatio–temporal feature encoding with multilayer neural network. Specifically, network used to encode temporal features video for...
Abstract Online monitoring concentrations of PM at five sites were obtained from 01/01/2016 to 31/12/2016 in Laiwu, China, and 2.5 filters manually sampled for total 34 days the same four seasons 2016. pollution sources, including soil dust, urban construction coal-fired power plants steel plant dust motor vehicle exhaust sampled, respectively. The overall mean /PM 10 ratio (0.57) Laiwu was a relatively lower level compared with that other Chinese cities, which higher winter, indicating fine...
A detection system in the resonator fiber-optic gyro is set up by phase modulation (PM) spectroscopy technique. The slope of demodulated curve near resonant point found to affect ultimate sensitivity gyro. To maximize signal slope, frequency and index are optimized expansion Bessel function optical field overlapping method. Using different PM frequencies for light waves, open-loop output observed. this technique limited only cutoff LiNbO3 modulators, which can reach several gigahertz. This...
Face retouching aims to remove facial imperfections from image and videos while at the same time preserving face attributes. The existing methods are designed perform non-interactive end-to-end retouching, ability interact with users is highly demanded in downstream applications. In this paper, we propose RetouchGPT, a novel framework that leverages Large Language Models (LLMs) guide interactive process. Towards end, design an instruction-driven imperfection prediction module accurately...
Abstract Dust can be regarded as environmental medium that indicates the level and spatial distribution of polycyclic aromatic hydrocarbons (PAHs) coming from different pollution sources. In this study, samples including road dust, roof bare soil near an iron steel enterprise (ISE) in Laiwu city North China were collected. To assess environment impact, atmosphere particulates one flue dust a coking plant simultaneously sampled. Sixteen USEPA PAHs detected quantitatively by Gas Chromatography...
Electrocardiogram (ECG) is a powerful tool for studying cardiac activity and diagnosing various cardiovascular diseases, including arrhythmia. While machine learning deep algorithms have been applied to ECG interpretation, there still room improvement. For instance, the commonly used Recurrent Neural Networks (RNNs), reply on its previous state update therefore ineffective parallel computing. RNN also struggles efficiently address issue of long-distance reliance.To reduce computational...
Human action recognition (HAR) is one of most important tasks in video analysis. Since clips distributed on networks are usually untrimmed, it required to accurately segment a given untrimmed into set segments for HAR. As an unsupervised temporal segmentation technology, subspace clustering learns the codes from each construct affinity graph, and then cuts graph cluster segments. However, existing schemes not only ignore sequential information frames code learning, but also negative effects...
As an ideal membrane for wastewater treatment, desirable separation performance, and fouling resistance are both requisite. Herein we directly in situ attached Ag based nanoparticles on the surface of thin-film composite polyamide (TFC PA) membranes by using benzenediamine (BDA) derivatives with acid functional groups as one aqueous monomer mixed m-phenylenediamine (MPD) interfacial polymerization (IP). The BDA incorporated PA layer facilitated metallization or mineralization without...