A5018776624- Building Energy and Comfort Optimization
- Integrated Energy Systems Optimization
- Energy Load and Power Forecasting
- COVID-19 epidemiological studies
- Smart Grid Energy Management
- Metallurgy and Material Forming
- Laser and Thermal Forming Techniques
- Metal Forming Simulation Techniques
- Image and Signal Denoising Methods
- Embedded Systems Design Techniques
- VLSI and FPGA Design Techniques
- Geothermal Energy Systems and Applications
- Direction-of-Arrival Estimation Techniques
- Non-Destructive Testing Techniques
- Image Processing Techniques and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Data-Driven Disease Surveillance
- Advanced Research in Science and Engineering
- Traffic Prediction and Management Techniques
- Bone and Joint Diseases
- Advanced Image Processing Techniques
- Advanced Measurement and Detection Methods
- Human Mobility and Location-Based Analysis
- Cellular Automata and Applications
- Advanced Neural Network Applications
Beihang University
2006-2024
Shenzhen Institutes of Advanced Technology
2020-2022
Chinese Academy of Sciences
2020-2022
University of Chinese Academy of Sciences
2020-2022
The Affiliated Yongchuan Hospital of Chongqing Medical University
2020-2022
Chongqing Medical University
2020-2022
Yellow River Institute of Hydraulic Research
2020
Beijing University of Posts and Telecommunications
2016
Chang'an University
2010
China Aerospace Science and Industry Corporation (China)
2007
Since the outbreak of novel coronavirus disease (COVID-19) at beginning December 2019, there have been more than 28.69 million cumulative confirmed cases worldwide as 12th September 2020, affecting over 200 countries and regions with 920,463 deaths. The COVID-19 pandemic has sweeping unexpected rapidity. In this paper, a hybrid modelling strategy based on tessellation structure- (TS-) configured SEIR model is adopted to estimate scale spread. Building data pertaining global transmission last...
District heating system (DHS) plays an important role in attaining sustainable energy systems, which can conveniently provide energy-efficient space heating. At present, it is common that heat source and stations are operated regulated separately by different owners. Their own technicians adjust the operation parameters empirically with fine-tune according to users' complaint. This kind of isolated extensive regulation often results imbalance supply demand featuring large indoor temperature...
The outbreak of SARS-CoV-2 infection in China is highly transmissible by airborne droplets and close contact with infected secretions. Essential control this disease relies on the prompt identification, appropriate risk evaluation, isolation possible cases prevention measures for spread virus. hospital a high-risk area nosocomial transmission inappropriate room setup triaging diagnosing febrile patients. Chongqing municipality adjacent to Hubei (the most affected province), 576 confirmed...
With the increasing number of electric vehicles (EVs), charging demand EVs has brought many new research hotspots, i.e., path planning and pricing strategy stations. In this paper, an integrated framework is proposed for multiobjective EV with varied strategies, considering driving distance, total time consumption, energy fee such factors, while designed based on objectives maximizing revenues stations balancing profits First, consumption model EVs, M/M/S queuing stations, piles are...
There were 27 novel coronavirus pneumonia cases found in Wuhan, China December 2019, named as 2019-nCoV temporarily and COVID-19 formally by the World Health Organization (WHO) on 11 February 2020. In 2019 January 2020, has spread a large scale among population, which brought terrible disaster to life property of Chinese people. this paper, we analyze features pattern virus transmission. Considering influence indirect transmission, conscious-based Susceptible-Exposed-Infective-Recovered...
A high resolution spatial smoothing algorithm which takes cross correlation to the autocorrelation matrixes of subarray output is proposed increase angular conventional techniques. The formula for derived, and performance also analyzed. Simulation results demonstrate that improved possesses a better resolving ability lower SNR threshold than technique DOA estimation coherent signals.
Since the outbreak of novel coronavirus disease (COVID-19) in Wuhan, China at beginning December 2019, there have been over 11,200,000 confirmed cases world as 3rd July 2020, affecting 213 countries and regions with nearly 530,000 deaths. The pandemic has sweeping all continents, North America, Latin Europe, Middle East South Asia among others an alarming rapidity. Here, we provide estimate scale spread under different scenarios variation key influencing parameters a hybrid model.We...
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Estimating travel time (ETA) for arbitrary paths is crucial in urban intelligent transportation systems. Previous studies primarily focus on constructing complex feature systems individual road segments or sub-segments, which fail to effectively model the influence of each segment others. To address this issue, we propose an end-to-end model, AttentionTTE. It utilizes a self-attention mechanism capture global spatial correlations and recurrent neural network temporal dependencies from local...
Much research has been conducted to improve the defect-detection rate and detection accuracy of imaging technology used in terahertz nondestructive testing. Due power limit light sources noise interference equipment, images have low resolution fuzzy defect edges. Hence, improving is crucial for detecting defects. We designed an edge network structure based on a traditional deep neural network. Besides, we devised node-fusing strategy train It demonstrates significant improvement contour. A...
Ship detection is a significant application with aerial image detection, which faces the challenges of data imbalance and rotation ship objects while horizontal annotation boxes have large amount redundant information. This paper focuses on scene real-time inspection YOLOv5 selected as baseline for fast identification. Dynamic enhancement during training process designed via loss feedback, can alleviate problem imbalance. Considering characteristics ships, classification method used to...