Juan Du

ORCID: 0000-0003-3222-4693
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About
Contact & Profiles
Research Areas
  • Advanced Vision and Imaging
  • Interconnection Networks and Systems
  • Advanced Image Processing Techniques
  • Advanced Steganography and Watermarking Techniques
  • Image Enhancement Techniques
  • Remote Sensing and Land Use
  • Gaze Tracking and Assistive Technology
  • Solar Radiation and Photovoltaics
  • Neural Networks Stability and Synchronization
  • Image Processing Techniques and Applications
  • Nonlinear Dynamics and Pattern Formation
  • Optical measurement and interference techniques
  • Slime Mold and Myxomycetes Research
  • Machine Learning in Healthcare
  • Tactile and Sensory Interactions
  • IoT and Edge/Fog Computing
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Advanced Computational Techniques and Applications
  • Photovoltaic System Optimization Techniques
  • Evolutionary Game Theory and Cooperation
  • Ergonomics and Musculoskeletal Disorders
  • Digital Media and Visual Art
  • Context-Aware Activity Recognition Systems
  • Chaos-based Image/Signal Encryption

Qinghai Normal University
2023-2024

University Town of Shenzhen
2024

Tsinghua University
2024

Nanjing Drum Tower Hospital
2024

Wuhan University
2007-2020

Xidian University
2020

Nanyang Institute of Technology
2019

University at Albany, State University of New York
2018

Nanchang University
2013

Beijing Institute of Graphic Communication
2008

Abstract. The brightness distribution of sky background is usually non-uniform, which creates many problems for traditional cloud detection methods, including the failure thin in total images and significantly reducing retrieval accuracy circumsolar near-horizon regions. This paper describes development a new algorithm, named "clear differencing (CSBD)", accomplished by original image corresponding clear using images' green channel. First, library with variety solar elevation angles needs to...

10.5194/amt-9-587-2016 article EN cc-by Atmospheric measurement techniques 2016-02-23

In this paper, we propose a novel forecast method which addresses the difficulty in short-term solar irradiance forecasting that arises due to rapidly evolving environmental factors over short time periods. This involves of Global Horizontal Irradiance (GHI) combines prediction sky images with Radiative Transfer Model (RTM). The (up 10 min ahead) are produced by non-local optical flow method, is used calculate cloud motion for each pixel, consecutive at 1 intervals. Direct Normal (DNI) and...

10.3390/en11051107 article EN cc-by Energies 2018-05-01

Hyper-networks tend to perform better in representing multivariate relationships among nodes. Yet, due the complexity of hyper-network structure, research synchronization dynamics is rarely involved. In this paper, a Kuramoto model more suitable for k-uniform hyper-networks proposed. And generalized Laplacian matrix expression present. We use eigenvalue ratio quantify synchronization. we studied effects some important structure parameters on three types hyper-networks. obtained different...

10.1038/s41598-024-56198-9 article EN cc-by Scientific Reports 2024-03-13

Amidst the global COVID-19 pandemic, urgent need for timely and precise patient prognosis assessment underscores significance of leveraging machine learning techniques. In this study, we present a novel predictive model centered on routine clinical laboratory test data to swiftly forecast survival outcomes upon admission. Our integrates feature selection algorithms binary classification algorithms, optimizing algorithmic through meticulous parameter control. Notably, developed an algorithm...

10.1016/j.heliyon.2024.e29981 article EN cc-by-nc Heliyon 2024-04-21

In the emerging wearable world, a plethora of smart devices are being designed to facilitate our daily life. More activities, such as student learning, desk office work, or driving requiring human beings spend significant portion their life sitting on chair. As result, there is increasing interest in development technologies that monitor and support seated users. The most iconic examples this chair cushion. To prompt users maintain healthy posture encourage them have short break after...

10.1109/msmc.2019.2962226 article EN IEEE Systems Man and Cybernetics Magazine 2020-10-01

Within the development of deep convolutional neural network, great achievements had been made in single-image super-resolution (SISR) task. However, higher performance always comes with deeper layers which also brings larger numbers network operations and parameters that make it hard to implement practice. In our work, a lightly super-resolution, named Mobile Share- Source Network (MSSN), is purposed address these practical issues. MSSN, high-efficiency block, mobile adaptive weighted...

10.1109/access.2020.2983079 article EN cc-by IEEE Access 2020-01-01

Panchromatic (PAN) images contain abundant spatial information that is useful for earth observation, but always suffer from low-resolution due to the sensor limitation and large-scale view field. The current super-resolution (SR) methods based on traditional attention mechanism have shown remarkable advantages remain imperfect reconstruct edge details of SR images. To address this problem, an improved model which involves self-attention augmented WGAN designed dig out reference among...

10.20944/preprints202012.0592.v1 preprint EN 2020-12-23

There exist many problems on management and application of multi-beam sounding data, such as massive surveying points, large data quantity, difficulty in managing integrating from different survey regions, inefficiency multi-scale display gross error detection. Aiming at these problems, new methods for effective quality detection the are presented this paper. Three key techniques including organization fast visualization discussed detail. Based above theories algorithms, a system named...

10.1117/12.872949 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2009-09-26

Crop growth monitoring is an important application of remote sensing. However, the crop cultivation area cannot be easily distinguished from other areas in sensing data because various types land cover. Therefore, should extracted before can used. In this paper, a new method presented to extract wheat planting region. Two MODIS images representing different times were adopted according characteristics wheat. The training sets selected two calculated by backward cloud algorithm generate...

10.1117/12.774799 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2007-11-08

Abstract. A method to estimate the shape parameters and track motion velocity of pack ice is presented. The consists sea recognition, extraction, estimation tracking. We try from FY-3/MERSI images Fram strait, which were covered by cloud less than 30%. It found that concentration significantly decreases faster concentration. two indicate distribution difference between ices ices. change perimeter mean clamp diameter are obvious owing they sensitive edge But small roundness, convexity...

10.5194/isprs-archives-xliii-b3-2020-925-2020 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2020-08-21
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