A5025374137- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Fire effects on ecosystems
- Fire dynamics and safety research
- Evacuation and Crowd Dynamics
- Electrocatalysts for Energy Conversion
- Industrial Gas Emission Control
- Face and Expression Recognition
- Face recognition and analysis
- Gas Sensing Nanomaterials and Sensors
- Biometric Identification and Security
- Disaster Management and Resilience
- Image Processing and 3D Reconstruction
- Remote Sensing in Agriculture
- Advanced Decision-Making Techniques
- Industrial Vision Systems and Defect Detection
- Traffic Prediction and Management Techniques
- Flood Risk Assessment and Management
- Species Distribution and Climate Change
- Combustion and Detonation Processes
- Nanomaterials for catalytic reactions
- Catalysts for Methane Reforming
- Advanced Image and Video Retrieval Techniques
- Human Mobility and Location-Based Analysis
- Aerodynamics and Fluid Dynamics Research
Aviation Industry Corporation of China (China)
2024
China People's Public Security University
2023-2024
Institute of Disaster Prevention
2018-2023
Central South University
2018-2023
Sinopec (China)
2021-2022
Wuhan University of Technology
2022
Anhui University of Science and Technology
2022
Collaborative Innovation Center of Chemical Science and Engineering Tianjin
2017-2021
Tianjin University
2017-2021
Canon (Japan)
2020-2021
Catalytic oxidation is an effective way to eliminate soot pollution emitted from diesel engines. However, the origination and specific location of active oxygen species are still unclear over noble metal catalysts because complex gas (oxygen)–solid (catalyst)–solid (reactant) reaction systems. Herein, we report high catalytic performance nanoflower-like hydrotalcite-derived CoAlO-supported Ag catalyst synthesized by a facile hydrothermal method for combustion. Our characterization results...
Deep face recognition has achieved great success due to large-scale training databases and rapidly developing loss functions. The existing algorithms devote realizing an ideal idea: minimizing the intra-class distance maximizing inter-class distance. However, they may neglect that there are also low quality images which should not be optimized in this strict way. Considering imperfection of databases, we propose objectives can a moderate way mitigate overfitting problem, further novel...
Herein, we synthesized CeO2 nanoparticles-decorated Mn2O3 nanosheets on monolithic Ni foam (Ce/Mn-NF) for catalytic elimination of soot particulates. The macroporous nanostructures created by the improve soot-catalyst contact efficiency external surface catalysts. superficial Mn–Ce interaction can produce Mn4+ and oxygen vacancies Ce/Mn-NF catalysts through redox process Ce4+ + Mn3+ ↔ Ce3+, simultaneously generating active species. Moreover, our results demonstrate that adsorbed species...
In the field of face recognition, large-scale web-collected datasets are essential for learning discriminative representations, but they suffer from noisy identity labels, such as outliers and label flips. It is beneficial to automatically cleanse their noise improving recognition accuracy. Unfortunately, existing cleansing methods cannot accurately identify in wild. To solve this problem, we propose an effective automatic framework datasets, FaceGraph. Using two cascaded graph convolutional...
The thermally reduced Pt/TiO<sub>2</sub>(B) catalysts show high catalytic activity and good water resistance for the oxidation of CO.
Reducing computational costs is an important issue for development of embedded systems. Binary-weight Neural Networks (BNNs), in which weights are binarized and activations quantized, employed to reduce various kinds applications. In this paper, a design methodology hardware architecture inference engines proposed handle modern BNNs with two operation modes. Multiply-Accumulate (MAC) operations can be simplified by replacing multiply bitwise operations. The method effectively the gate count...
Herein, we report the function of Pd species in Pd-added La0.7Sr0.3CoO3 perovskite for removal NOx (NO+NO2) lean-burn traps (LNT) process. The addition significantly improves De-NOx activity perovskite-based catalysts. Pd-supported catalyst has an excellent efficiency 90.4%, which is higher than Pd-doped (74.4%) and pure (51.6%). Our results show that enhances both desorption behaviors to regenerate storage sites reduction ability catalysts fuel-rich period, induces improved trapping...
Trajectory data uploaded by mobile devices is growing quickly. It represents the movement of an individual or a device based on longitude and latitude coordinates collected GPS. The location service has broad application prospect in real world. As traditional prediction models which are discrete state sequence cannot predict locations time, we propose Continuous Time Series Markov Model (CTS-MM) to solve this problem. method takes Gaussian Mixed (GMM) simulate posterior probability...
This paper proposed Air Entrainment Model (AEM) and Mass Transfer-Volumetric Heating Source model (MT-VHS). Then different physical models of tunnel, gas description combustion were used. CFD results compared with reduced scale experiments previous theories. The show that traditional numerical simulation on tunnel may cause asymmetrical temperature profile, because the pressure portal is always set to be constant. Expanded computational domain can avoid this unreasonable setting. Boussinesq...
To assist the Department of Emergency Management in understanding overall risk characteristics and situation an urban agglomeration for a reasonable prevention control strategy, this study developed comprehensive multi-hazard assessment model with multiple factors. The proposed includes disaster probability loss sub-models. evaluated four types agglomerations: natural disasters, accidental public health incidents, social security incidents. In addition, variety factors were integrated into...
Herein, Cu-modified SAPO-34 catalysts with various copper loadings are synthesized via a pH-controlled ion-exchange method. Cu exists predominantly as isolated cations at lower loadings, located octahedrally coordinated sites in the ellipsoidal cavity of zeolites, while CuO is gradually generated on external surface higher loadings. Our results reveal that active for C3H6-SCR. The presence species enhances C3H6 activation ability catalysts, which thus, improves C3H6-SCR performance medium...
Abstract In this study, one-dimensional ZnO nanorods sensing electrodes were grown in situ on the surface of Ce₀.₈Gd₀.₂O₁.₉ electrolyte to fabricate chemiresistive-potentiometric (C-P) bivariate sensors for detection and identification CH4 CO. Four C-P developed by adjusting hydrothermal growth time nanorods. The effect duration morphology was examined. response CO initially increased then decreased with increasing duration. Similar variations gas mixtures observed. highest C P values CH4,...
Herein, we report the high performance of Bi2O3 interacted with ultrafine CeO2 nanoparticles (NPs) for soot oxidation. With increased Bi content, can be tuned from amorphous phase to β-Bi2O3 and finally α-Bi2O3. The NPs possessing abundant defects large surface area are beneficial forming β-Bi2O3. Our kinetic results show that quantity active oxygen species at Bi–O–Ce interface is determining factor Compared other phases, interaction between readily generate a larger higher turnover...
Learning with noise is a practically challenging problem in deep face recognition. Despite the success of large margin softmax loss functions, these methods are designed for clean databases. Considering inevitable scale databases, we first analyze performance training For noise-robust recognition, propose dynamic data dropout (DTDD) method to dynamically filter database and gradually form stable refined model learning. Specifically, leverage information provided by predictions accumulated...