- Landslides and related hazards
- Catalytic Processes in Materials Science
- Nonlinear Partial Differential Equations
- Video Coding and Compression Technologies
- Zeolite Catalysis and Synthesis
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Image and Video Quality Assessment
- Advanced Mathematical Modeling in Engineering
- Advanced Neural Network Applications
- Advanced Wireless Network Optimization
- Catalysis and Oxidation Reactions
- Video Surveillance and Tracking Methods
- Mesoporous Materials and Catalysis
- Advanced Decision-Making Techniques
- Cryospheric studies and observations
- Catalysis and Hydrodesulfurization Studies
- Metal Extraction and Bioleaching
- Advanced Optical Sensing Technologies
- Geotechnical Engineering and Analysis
- Advanced Vision and Imaging
- Advanced Computational Techniques and Applications
- Environmental and Agricultural Sciences
- Anomaly Detection Techniques and Applications
- Advanced Algorithms and Applications
Shanghai Research Institute of Chemical Industry
2024
Sinopec (China)
2024
Beijing University of Posts and Telecommunications
2010-2024
China University of Geosciences
2022-2024
Central South University
2007-2024
Hohai University
2022-2024
Chengdu University
2024
Chongqing Normal University
2024
Ocean University of China
2024
Tibet University
2017-2023
Structural health monitoring via quantities that can reflect behaviors of concrete dams, like horizontal and vertical displacements, rotations, stresses strains, seepage, so forth, is an important method to evaluate operational states dams correctly predict the future structural accurately. Traditionally, statistical model widely applied in practical engineering for monitoring. In this paper, extreme learning machine (ELM)-based proposed displacement prediction gravity dams. ELM one type...
ZSM-5 that uses TPAOH as a template has an Al-rich exterior and defective Si-rich interior; thus, simple base leaching selectively removed the interior while was protected. This catalyst showed no change in stability comparing with parent during MTP reaction attributed to enclosed hollow structure richly acidic outer shell. A preliminary fluorination, however, both Si-sites caused distortion tetrahedral aluminum made shell susceptible alkaline treatment. These distorted Al were mostly...
HPW@Hollow S-1, a novel solid catalyst which can be reused in the synthesis of ethyl acetate, was successfully prepared by ship-in-bottle approach. The simultaneously shows high activity that resembles homogeneous catalysts, and outstanding stability like heterogeneous catalysts.
This paper proposes a method for vehicle driving behavior recognition based on six-axis motion processor. uses deep-learning technology to learn the sample data collected by on-board sensor. To solve problem of small size and easy overfitting, we propose joint augmentation (JDA) scheme, design new multi-view convolutional neural network model (MV-CNN). The JDA includes multi-axis weighted fusion algorithm, background noise random cropping algorithm construct dataset that is more in line with...
360-degree videos, as a type of media that offers highly immersive experiences, often result in significant bandwidth waste due to incomplete views by users. This places heavy demand on streaming systems support high-bandwidth requirements. Recently, tile-based combined with viewport prediction have become popular improve efficiency. However, since the is only reliable short term, maintaining long buffer avoid rebuffering challenging. We propose <bold...
360-degree videos usually require extremely high bandwidth and low latency for wireless transmission, which hinders their popularity. A tile-based viewport adaptive streaming scheme, involves accurate prediction optimal bitrate adaptation to maintain user Quality of Experience (QoE) under a bandwidth-constrained network, has been proposed by researchers. However, is error-prone in long-term prediction, schemes may waste resources due failing consider various aspects QoE. In this paper, we...
Al coordinates in ZSM-5 showed significant effects on hierarchical structure and T atoms redistribution during NaOH/TPAOH treatment different catalytic performances the methanol-to-propylene reaction. NaOH of parent with a few extra-framework sites mainly involved desilication process, while an additional alumination process was observed when some Al3+ added into solution, which resulted mesoporous crystals intact outer shells. Dealumination–realumination processes occurred distorted...
ZSM-5 zeolites with different particle sizes and mesoporous structures were evaluated in a methanol-to-olefins (MTO) reaction. The results show that the efficient diffusion leads to low methane selectivity initial stage of reaction slight increase throughout acid amounts also evaluated, indicate few sites exhibits prolonged time. In addition, propane was observed. [Fe]-[Al]-ZSM-5 Fe/Al ratios MTO reaction, observed over weak strength (high ratio). Those are very useful for understanding...
Rainfall and freeze-thaw landslides are common occurrences on southeastern Tibet Plateau; however, it can be difficult to categorize them via field surveys. Landslide classification determined using image processing methods, such as deep learning. However, the performance of is restricted by limited datasets resulting from small numbers landslides. A new learning method proposed herein for classifying remote sensing images VGG-19 transfer compensate an insufficient number labelled samples....
A versatile strategy involving one-step desilication of coke-deposited spent zeolite catalyst was successfully developed to prepare hierarchical porous carbon monoliths (HPCMs).
The prediction of river water quality is key in resource management. Data-driven machine learning models have been widely used for predicting quality. However, these seldom consider the physical mechanisms variation, which degrades accuracy and stability results. Hence, we develop a physics-guided spatio–temporal neural network (PGSTNN) model to predict critical parameter assessment, i.e. dissolved oxygen. Physical information regarding interactions hydrological explicitly considered...
This work involves methanol-to-propylene (MTP) conversion over aluminosilicate MFI (ZSM-5), borosilicate (B-ZSM-5), and all-silica (Silicate-1). Both B-ZSM-5 Silicate-1 were inactive in MTP reaction. However, extruded sample prepared by extrusion with Al2O3 binder, followed acid washing treatment, displayed a rapid increase methanol the initial 30 h time on stream (TOS), then retained 99% conversion, higher propylene selectivity (52.2%), propylene/ethylene ratio (11.3) for 400 TOS. modified...
AIM: To figure out the contributed factors of hospitalization expenses senile cataract patients (HECP) and build up an area-specified diagnosis related group (DRG) Shanghai thereby formulating reference range HECP providing scientific basis for fair use supervision health care insurance fund. METHODS: The data was collected from first page medical records 22 097 hospitalized tertiary hospitals in 2010 to 2012 whose major were cataract. Firstly, we analyzed influence using univariate...
On rockfall slopes, trees can play a natural and efficient protective role in preventing the occurrence of disasters. This paper presents study on tree barrier effect based three-dimensional discontinuous deformation analysis (3D DDA) method. The is studied considering 3D spatial movement distribution trees. basic forms collision modes related to are classified, impact factors arrangements proposed. contact mechanism employed DDA method illustrated, accuracy simulation verified by comparing...
Four new phosphites/phosphates were designed and prepared; three of them exhibit a deep UV cutoff edge ∼190 nm NLO material Ca[HPO 3 ] shows phase-matching behavior.
For the task of garbage classification, to overcome main disadvantages Yolov4 target detection algorithm, such as large network model and lower accuracy for small objects, a lightweight based on EfficientNet-B0 fusion ECA mechanism is presented. The EfficientNet was used replace original backbone network, which reduces parameters improves accuracy. Moreover, deep detachable convolution block replaced common in further reduced number model. In feature pyramid PANet, attention introduced...