A5069143799- Data Management and Algorithms
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
- Anaerobic Digestion and Biogas Production
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Advanced Database Systems and Queries
- Coal Properties and Utilization
- Evacuation and Crowd Dynamics
- Scientific Computing and Data Management
- Advanced Image and Video Retrieval Techniques
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Methane Hydrates and Related Phenomena
- Parallel Computing and Optimization Techniques
- Time Series Analysis and Forecasting
- Data Stream Mining Techniques
- Cloud Computing and Resource Management
- Remote-Sensing Image Classification
- Landfill Environmental Impact Studies
- Advanced Clustering Algorithms Research
- Human Mobility and Location-Based Analysis
- Vehicle License Plate Recognition
- Neutrino Physics Research
- Soft Robotics and Applications
Research Institute of Petroleum Exploration and Development
2023-2024
Southern Medical University
2021-2023
Zhujiang Hospital
2021-2023
China University of Geosciences
2013-2022
Shanghai Jiao Tong University
2017
Huazhong University of Science and Technology
2006-2009
The Jiangmen Underground Neutrino Observatory (JUNO) is proposed to determine the neutrino mass hierarchy using an underground liquid scintillator detector. It located 53 km away from both Yangjiang and Taishan Nuclear Power Plants in Guangdong, China. experimental hall, spanning more than 50 meters, under a granite mountain of over 700 m overburden. Within six years running, detection reactor antineutrinos can resolve at confidence level 3-4$\sigma$, oscillation parameters...
Simulation study on evacuation scenarios has gained tremendous attention in recent years. Two major research challenges remain along this direction: (1) how to portray the effect of individuals' adaptive behaviors under various situations procedures and (2) simulate complex involving huge crowds at individual level due ultrahigh complexity these scenarios. In study, a simulation framework for general been developed. Each scenario is modeled as an adaptable autonomous agent driven by...
More and more real-time applications need to handle dynamic continuous queries over streaming data of high density. Conventional query indexing approaches generally do not apply for excessive costs in either maintenance or space. Aiming at these problems, this study first proposes a new structure by fusing an adaptive cell KDB-tree, namely CKDB-tree. A cell-tree approach has been developed on the basis CKDB-tree that supports queries. The significantly reduces space scales well with...
Object detection, aiming to recognize and locate objects of interest in aerial images, has historically played a significant role the remote sensing community. Following remarkable improvements Earth observation technologies, high-resolution (HRRS) images with bird's eye view perspective have revealed many categories sufficient variations appearance on complex backgrounds that make HRRS object detection an active but challenging task. The selection positive samples negative training...
Research has been conducted to investigate the potential application of scorpion venom-derived peptides in cancer therapy. Smp43, a cationic antimicrobial peptide from Scorpio maurus palmatus venom, found exhibit suppressive activity against proliferation multiple cell lines. However, its impact on non-small-cell lung (NSCLC) lines not previously investigated. This study aimed determine cytotoxicity Smp43 towards various NSCLC lines, particularly A549 cells with an IC50 value 2.58 μM. The...
Contaminant source characterization (CSC) in a water distribution system (WDS) exhibits computationally intensive problem. Traditional solutions to the CSC problem can't fulfill CSC's quality-of-service (QoS) requirements. We present parallel solution using MapReduce paradigm cloud that can deliver high-performance, fault-tolerant, and flexible solution.
Translational research on immune checkpoint inhibitors (ICIs) has been underway. However, in the unselected population, only a few patients benefit from ICIs. Therefore, screening predictive markers of ICI efficacy become current focus attention. We collected mutation and clinical data an ICI-treated non-small cell lung cancer (NSCLC) cohort. Then, univariate Cox regression model was used to analyze relationship between tumor necrosis factor α signaling mutated (TNFα-MT) prognosis...
Abstract Background Surgical robots lack force feedback, which may lead to operation errors. In order improve surgical outcomes, this research developed a new master–slave robot, was designed with an integrated sensor. Methods The structure for the robot employs feedback mechanism. A six‐dimensional sensor mounted on tip of slave robot's actuator. Sliding model control adopted robot. According movement master system manipulated by surgeon, slave's and function were validated. Results motion...
Current social-network-based and location-based-service applications need to handle continuous spatial approximate keyword queries over geo-textual streaming data of high density. The query is a well-known expensive operation. optimization processing still an open issue. For data, the performance issue more serious since both location information textual description be matched for each incoming tuple. state-of-the-art spatial-keyword indexing approaches generally lack support matching...
Abstract Morlet continuous wavelet transform (MCWT) has been widely used to process non-stationary electro-encephalogram (EEG) data. Nowadays, the MCWT application for processing EEG data is time-sensitive and data-intensive due quickly increasing problem domain sizes advancing experimental techniques. In this paper, we proposed a massively parallel approach based on GPGPU address research challenge. The treats as four main computing sub-procedures parallelizes them with CUDA...
Summary P M 2.5 time series have the features of non‐stationary and nonlinear. Existing forecasting methods for cannot achieve high accuracy they ignored potential characteristics series. Aiming at this problem, a hybrid approach using local mean decomposition Support Vector Regression (SVR)‐Elman (LSE) is firstly proposed in paper to analyse 5days ahead concentrations Wuhan, China: (1) meaningful PF1‐PF5 components are extracted from original by decomposition; (2) first high‐frequency...