A5101500638- Advanced Computational Techniques and Applications
- Urban Transport and Accessibility
- Video Surveillance and Tracking Methods
- Human Mobility and Location-Based Analysis
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Transportation Planning and Optimization
- Blockchain Technology Applications and Security
- Web Data Mining and Analysis
- Advanced Neural Network Applications
- Advanced Algorithms and Applications
- Energetic Materials and Combustion
- Sleep and Work-Related Fatigue
- Impact of Light on Environment and Health
- Topic Modeling
- Natural Language Processing Techniques
- Infrastructure Maintenance and Monitoring
- Thermal and Kinetic Analysis
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Image Processing and 3D Reconstruction
- Gaze Tracking and Assistive Technology
- Handwritten Text Recognition Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Facility Location and Emergency Management
Peking University
2022-2024
Southwest Jiaotong University
2023-2024
Southwest University
2023-2024
Hong Kong University of Science and Technology
2020-2023
University of Hong Kong
2020-2023
Jinzhong University
2021-2023
Changzhou University
2023
Anhui Provincial Meteorological Bureau
2022
Shandong Jiaotong University
2013-2022
Queen Mary University of London
2019-2022
The liver plays a central role in metabolism. Although many studies have described vitro models for drug discovery, to date, no model has been that can stably maintain function. Here, we used unique, scaffold-free 3D bio-printing technology construct small portion of tissue could drug, glucose, and lipid metabolism, addition bile acid secretion. This bio-printed normal human maintained expression several kinds hepatic transporters metabolic enzymes functioned weeks. displayed glucose...
In recent years, the emergence of dockless bike-sharing has brought new ways transportation, while also providing support for observing urban dynamics at a finer granularity. This study uses data, combined with point interest (POI) to explore intra-urban human mobility and daily activity patterns, using Beijing as case study. Here, we employ spatial statistics graph network quantify characteristics travel behavior. Firstly, spatiotemporal analysis was conducted investigate patterns...
Obtaining PM2.5 data for the entirety of a research region underlies study relationship between and human spatiotemporal activity. A professional sampler with filter membrane is used to measure accurate values at single points in space. However, there are numerous sampling monitoring facilities that rely on from only representative points, which cannot whole interest. This provides motivation researching methods estimation particulate matter areas having fewer monitors special scale, an...
Air-borne particulate matter, PM2.5 (PM having a diameter of less than 2.5 micrometers), has aroused widespread concern and is core indicator severe air pollution in many cities globally. In our study, we present validated framework to predict the daily distributions, exemplified by use case Shijiazhuang City, China, based on aerosol optical depth (AOD) datasets. The involves obtaining high-resolution spatiotemporal AOD estimation spatial distributions prediction these convolutional long...
The frequency of marine oil spills has increased in recent years. growing exploitation and continuous increase crude transportation caused tremendous damage to the ecological environment. Using synthetic aperture radar (SAR) images monitor can help control spread spill pollution over time reduce economic losses environmental by such spills. However, it is a significant challenge distinguish between oil-spilled areas oil-spill-like SAR images. Semantic segmentation models based on deep...
This paper presents a data fusion method for the on-board detection of driver drowsiness in real time. Multiple sensors including camera to capture driver's eye status, angle sensor measure steering behavior, and clock indicate time on task were implemented. A framework based Dempster-Shafer theory is built modeling combining pieces evidence, generate an overall inference level. The has been validated experiment driving simulator. results suggest that process could reduce uncertainty obtain...
Summary Conventional simultaneous localization and mapping (SLAM) has concentrated on two-dimensional (2D) map building. To adapt it to urgent search rescue (SAR) environments, is necessary combine the fast simple global 2D SLAM three-dimensional (3D) objects of interest (OOIs) local sub-maps. The main novelty present work a method for 3D OOI reconstruction based map, thereby retaining performances latter. A theory established that adapted SAR environment, including object identification,...
Estimating and mapping population distributions dynamically at a city-wide spatial scale, including those covering suburban areas, has profound, practical, applications such as urban transportation planning, public safety warning, disaster impact assessment epidemiological modelling, which benefits governments, merchants citizens. More recently, call detail record (CDR) of mobile phone data been used to estimate human distributions. However, there is key challenge that the accuracy method...
Presently, nanoparticles are mixed into lubricants to enhance the lubricating and cooling properties.Some research works available on minimum quantity lubrication (MQL) machining performance of nanofluids suspended with MoS2, Al2O3 xGnP nanoparticles.However, deficiency has been found in applying metal particles like copper (Cu) nanoparticles.In this research, have prepared by mixing four types nanoparticle (Cu, Graphite, MoS2 Al2O3) natural-77 vegetable oil two concentrations (1 % 2...
Pedestrian detection by camera sensor is an important function in intelligent vehicle. Histograms of Oriented Gradients (HOG) features a kind efficient pedestrian feature. We optimized the HOG to achieve accurate human system. don't normalize input windows but resize cell and block same ratio. In processing calculate features, Integral image used for better performance. The linear SVM as classifier result. Simulation results showed that approach method effective.
Dihydroxylammonium 5,5′-bistetrazole-1,1′-diolate (TKX-50) is a promising candidate to replace traditional explosives, HMX and RDX, used in insensitive munitions, which currently being explored achieve shock melt cast formulations.
Introduction The development of urban resilience, which is fundamentally a balance between the supply capacity primary care resources and demand from residents, includes an appropriate architecture facilities. Resilient city construction in highland areas hampered by physical environment transportation constraints frequently encounters issues like poor accessibility unequal distribution Methods To optimize cities effectively improve resilience public health, this paper assesses facilities...
Problem definition: A blockchain payment system, such as Bitcoin or Ethereum, validates electronic transactions and stores them in a chain of blocks without central authority. Miners with computing power compete for the rights to create according preset protocol, referred hashing mining, and, return, earn fees paid by users who submit transactions. Because security concerns caused decentralization, transaction is confirmed after number additional are subsequently extended block containing...
In the development of advanced vehicle safety systems, monitoring driverpsilas vigilance level and issuing an alert when he is not paying enough attention to road a promising way reduce accidents. such driver developing reliable real-time eye detection method crucial part. this paper, rear-time using support vector machine (SVM) with Hu invariant moments proposed. binarization heuristic rules screen contour are firstly used find region interest (ROI) eye. Then ROI calculated further in SVM...
Accurate and timely estimations of large-scale population distributions are a valuable input for social geography economic research policy-making. The most popular method to calculate such uses mobile phone data. We propose novel method, firstly based upon using kernel density estimation (KDE) estimate dynamic users' at two-hourly scale temporal resolution. Secondly, convolutional long short-term memory (ConvLSTM) model was used in our study predict spatial the first time fine-grained...
This study aims to quantitatively model rather than presuppose whether or not air pollution in Beijing (China) affects people’s activities of daily living (ADLs) based on an Internet Behaviours (IoB), which IoT sensor data can signal environmental events that change human behaviour mass. Peoples’ density distribution computed by call detail records (CDRs) and quality are used build a fixed effect (FEM) analyse the influence four types ADLs. The following effects discovered: Air negatively...