A5001797522- Computer Graphics and Visualization Techniques
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Advanced Vision and Imaging
- Data Visualization and Analytics
- Traffic control and management
- Aerospace and Aviation Technology
- Distributed and Parallel Computing Systems
- 3D Shape Modeling and Analysis
- Higher Education and Teaching Methods
- Online Learning and Analytics
- Simulation and Modeling Applications
- Parallel Computing and Optimization Techniques
- Mental Health Research Topics
- Optimization and Search Problems
- Rare-earth and actinide compounds
- T-cell and B-cell Immunology
- Geological Modeling and Analysis
- Aquaculture disease management and microbiota
- Thermal Expansion and Ionic Conductivity
- Immune Cell Function and Interaction
- Innovative Educational Techniques
- Image Enhancement Techniques
- Intelligent Tutoring Systems and Adaptive Learning
- Power Systems and Renewable Energy
East China Normal University
2024
Qingdao Agricultural University
2024
University of Electronic Science and Technology of China
2016-2023
Institute of Applied Physics and Computational Mathematics
2013-2023
Numerical Method (China)
2020-2023
Sichuan Normal University
2023
Jiangsu Maritime Institute
2021
University of Regina
2007-2019
Wuhan University
2019
Changchun University of Technology
2018
Quantitative understanding of relationships between students' behavioural patterns and academic performances is a significant step towards personalized education. In contrast to previous studies that were mainly based on questionnaire surveys, recent literature suggests unobtrusive digital data bring us unprecedented opportunities study lifestyles in the campus. this paper, we collect records from undergraduate ( N = 18 960) smart cards propose two high-level characters, orderliness...
Detecting abnormal behaviors of students in time and providing personalized intervention guidance at the early stage is important educational management. Academic performance prediction an building block to enabling this pre-intervention guidance. Most previous studies are based on questionnaire surveys self-reports, which suffer from small sample size social desirability bias. In article, we collect longitudinal behavioral data smart cards 6,597 propose three major types discriminative...
The continuous-descent approach is among the key concepts of Next Generation Air Transportation System. Although a considerable number researchers have been devoted to estimation potential fuel savings approach, few attempted explain observed in field tests from an analytical point view. This paper focuses on evaluation as fuel-reduction procedure. research gives insights into reasons why saves fuel, and design guidelines for continuous-descent-approach procedures are derived. relationship...
solution with the dual decomposition method converges to global optimum. The major contribution of proposed modeling and optimization framework is that it about 6 times faster than a previously developed largecapacity cell transmission model. It also shown obtains an equally optimal as large-capacity In meantime, model capable including bothgrounddelayandairbornedelay,whilethelarge-capacitycelltransmissionmodelincludesairbornedelayonly. traffic forecasting capability new examined...
Optimizing nationwide air traffic flow entails computational difficulty as the is generally modeled a multicommodity network, which involves huge number of variables. This paper presents framework that speeds up optimization. Nationwide using link transmission model (LTM), to dual-decomposition method applied. The large-scale problem decomposed into master and independent subproblems, are easy solve. As result, execution solving subproblem parallelizable. A parallel computing based on...
The nationwide air traffic flow management problem often encounters computational difficulty because it is generally modeled as an integer programming that requires computationally expensive optimization algorithms. This paper introduces a customized Spark-based architecture for such large-scale problems to further speed up the modeling and process, where Spark big data cluster-computing platform. First, novel layered aggregate model developed handling flexible rerouting problem, which not...
In this work arrival traffic following a continuous descent approach profile into the Hartsfield-Jackson Atlanta International Airport was simulated based on actual recorded data. The fuel burn for estimated using Base of Aircraft Data (BADA) Thrust Specific Fuel Consumption model and compared to baseline simulation as-flown trajectories, where not followed. Several sources variability that impact savings were examined, including separation minima, types maneuver absorb delays, composition...
This paper revisits a link transmission model that is designed for nationwide air traffic prediction. The prediction accuracy relies on the estimate of traversal time each link, which obtained through statistical analysis historical trajectories. As most straightforward approach, average often used in implementation. But outliers inherent data samples can easily distort estimate. To address this issue, proposes to use mode times corresponds value reaching peak probability density function...
The visualization of large-scale time-varying data can provide scientists a more in-depth understanding the inherent physical phenomena behind massive data. However, because non-uniform access speed and memory capacity bottlenecks, interactive rendering ability for is still major challenge. Data compression alleviate these two bottlenecks. But just simply applying strategy to pipeline, interaction problem not be effectively solved lot redundant existed in volume In this paper, smart scheme...
Coordinating nationwide air traffic flow is a large-scale problem. The modeling process generally involves analysis of massive flight data, and its optimization computationally expensive algorithms. This paper uses Hadoop MapReduce, big data processing model, to facilitate optimization, where intensive tasks are automatically spread clusters for concurrent executions. overall wall-clock time computation reduced. A management problem that has been previously studied was restructured under the...
This paper presents a rescheduling method for solving the conflicts between arriving aircraft which fly their preferred descent paths using continuous approach. The proposed approach is centralized control solution and based on 4-D trajectory concept. Each calculates its Estimated Time of Arrival before initiating procedure, reports to terminal area controllers at destination airport. reported trajectories are used arrival sequencing. objective minimize total delay while keeping inbound...
For lack of local graphics hardware, general purpose massively parallel computer can hardly be used to quickly visualize the large-scale locally generated datasets with hardware-accelerated volume rendering technique. In this paper, we presented a hybrid scheme take advantage background and front-end distributed workstations. The streams OpenGL commands are issued from multi-processors machine, GPU-based is executed on remote multi-workstations. entropy based data reduction extract features...
Scheduling arriving aircraft in terminal airspace can be formulated using mixed-integer linear programming and solved by a branch bound algorithm. Given that the problem is intrinsically nondeterministic polynomial-time hard, success solving within reasonable time not always guaranteed. This paper proposes an efficient optimization approach calculates minimum total delay necessary for conflict-free arrival sequence. A greedy heuristic developed to find feasible solution quickly, which serves...
Currently, large-scale scientific and engineering simulation has reached terabyte scale, the resulting time-varying volume data present great challenges to GPU-based rendering. Because huge can not be fully loaded into GPU memory, real-time exchange between disk memory is inevitable, which greatly reduces rendering frame rates. This paper presents a novel GPU-accelerated algorithm, makes use of DXT (Data Extract) compression technique in both preprocessing Through spatial strategy, at single...
Detecting abnormal behaviors of students in time and providing personalized intervention guidance at the early stage is important educational management. Academic performance prediction an building block to enabling this pre-intervention guidance. Most previous studies are based on questionnaire surveys self-reports, which suffer from small sample size social desirability bias. In paper, we collect longitudinal behavioral data 6,597 students' smart cards propose three major types...