A5054640178- Digital Transformation in Industry
- Energy Load and Power Forecasting
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Teleoperation and Haptic Systems
- Image Processing Techniques and Applications
- Fault Detection and Control Systems
- Digital Holography and Microscopy
- Geophysics and Sensor Technology
- Artificial Intelligence in Healthcare
- Manufacturing Process and Optimization
- Adversarial Robustness in Machine Learning
- Vehicle emissions and performance
- Algebraic structures and combinatorial models
- Advanced Data and IoT Technologies
- Economic and Technological Systems Analysis
- Hand Gesture Recognition Systems
- Grey System Theory Applications
- Anomaly Detection Techniques and Applications
- Surgical Simulation and Training
- Rough Sets and Fuzzy Logic
- Advanced Neural Network Applications
- Smart Cities and Technologies
- Handwritten Text Recognition Techniques
- Quantum, superfluid, helium dynamics
Qingdao University
2022-2023
Qingdao University of Science and Technology
2022
Xiamen University
2018
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus proposed solutions and results. The had 4 tracks. Track 1 employed standard bicubic downscaling setup, while Tracks 2, 3 realistic unknown downgrading operators simulating camera acquisition pipeline. were learnable through provided pairs high train images. tracks 145, 114, 101, 113 registered participants, resp., 31 teams competed final testing...
Abstract With the development of science and technology, high-tech industry is developing rapidly, various new-age technologies continue to appear, Digital Twins (DT) one them. As a brand-new interactive DT technology can handle interaction between real world virtual well. It has become hot spot in academic circles all countries world. have developed rapidly recent years result from centrality, integrity dynamics. integrated with other been applied many fields, such as smart factory...
In this article, the proposed work aims to further optimize fault diagnosis effect of manufacturing equipment, explore application digital twins technology in intelligent manufacturing. The equipment failures Poka Yoke are adopted, and a identification chopping algorithm is designed based on active learning—deep neural network (AL-DNN) domain adversarial networks (DANN). addition, workshop management control system for management. experimental exploration reveals that accuracy AL-DNN as high...
This work aims to prevent Traffic Accident (TA) and ensure drivers' pedestrians' life property safety. A TA prevention prediction system is established based on Digital Twins (DTs) Artificial Intelligence (AI). Firstly, the double-scale decomposition equation decomposes original Time Series Data (TSD) into multiple sub-layers. The Long-Short Term Memory (LSTM) network used predict low-frequency Then, LSTM model constructed results. Secondly, a Particle Filter (PF) proposed target block...
With the rapid development of information technology, great changes have taken place in way managing, analyzing, and using data all walks life. Using deep learning algorithm for analysis field medicine can improve accuracy disease recognition. The purpose is to realize intelligent medical service mode sharing resources among many people under dilemma limited resources. Firstly, Digital Twins module Deep Learning used establish care auxiliary diagnosis model. help digital visualization model...
Progresses has been witnessed in single image superresolution which the low-resolution images are simulated by bicubic downsampling. However, for complex degradation wild such as downsampling, blurring, noises, and geometric deformation, existing methods do not work well. Inspired a persistent memory network proven to be effective restoration, we implement core idea of human on deep residual convolutional neural network. Two types blocks designed NTIRE2018 challenge. We embed two framework...
This study aims to explore the security issues and computational intelligence of drone information system based on deep learning. Targeting at when it is attacked, this adopts improved long short-term memory (LSTM) network analyze cyber physical (CPS) data for prediction from perspective predicting control signal before attack occurs. At same time, differential privacy frequent subgraph (DPFS) introduced keep confidential, digital twins technology used map operating environment in space, an...
This paper focuses on traffic sign spotting (TSS which automatically recognizes not only the conventional signs but also information, facility and service signs, lights. TSS is divided into two sequential tasks: detecting candidate regions in an image recognizing regions. It a very challenging task. We make following contributions: 1) we create collection from driverless car. The are shot under natural environment covers large variation illuminance weather conditions. contains common called...
The present work investigates the application of virtual reality (VR) technology to neurorehabilitation. By consulting a wealth data, advantages VR in neurorehabilitation are introduced, followed by status rehabilitation stroke patients, Parkinson’s mental and psychological diseases. Besides, many research experiments on medicine at stage investigated. results indicate that compared with traditional balance training, VR-based neurological training method can more effectively ease tilt degree...
Ocean waves provide a large amount of renewable energy, and Wave energy converter (WEC) can convert wave into electric energy. This paper proposes visualization platform for power generation. The monitor various indicators generation in real time, combined with Long Short-Term Memory (LSTM) neural network to predict electricity consumption. We make digital twins plant computer, allowing users remotely view the factory through VR glasses.
We present a theory of hydrodynamics for vector U(1) charge in 2+1 dimensions, whose rotational symmetry is broken to the point group an equilateral triangle. show that it possible this have chiral anomaly. The hydrodynamic consequence anomaly introduction ballistic contribution dispersion relation modes. simulate classical Markov chains and find compelling numerical evidence anomalous universality class. Generalizations our other groups are also discussed.
Currently, people are actively seeking new and clean energy sources to replace traditional fossil fuels. As a widely distributed, abundant, easily accessible renewable source, wind has multiple applications both domestically internationally, promising future. In power forecasting, this paper proposes algorithm LFTformer that combines the Transformer model with linear fuzzy information granulation (LFIG).The uses improved LFIG extract semantic of time series, divides original series into...
We develop a Schwinger-Keldysh effective field theory describing the hydrodynamics of fluid with conserved charge and dipole moments, together momentum. The resulting hydrodynamic modes are highly unusual, including sound waves quadratic (magnon-like) dispersion relation subdiffusive decay rate. Hydrodynamics itself is unstable below four spatial dimensions. show that momentum density is, at leading order, Goldstone boson for symmetry which appears spontaneously broken finite density. Unlike...
Ocean waves provide a large amount of renewable energy, and Wave energy converter (WEC) can convert wave into electric en-ergy. This paper proposes visualization platform for power generation. The monitor various indicators generation in real time, combined with Long Short-Term Memory (LSTM) neural network to predict electric-ity consumption time visualize monitoring data. plat-form intelligently allocate equipment based on the forecast data achieve precise matching consumption, thereby...
In recent years, the development of digital twins has advanced by leaps and bounds, have gradually begun to combine various fields apply them current digitalisation physical world. Digital can play an important role in field agriculture. technology fully improve yield profit crop products alleviate food safety issues. Regarding common problems agricultural field, this article synthesises existing technologies twins, discusses prospects it puts forward that still exist application field.
Ancient humans attribute the phenomenon of thunder and lightning to divine power. The power Thor that can lift Thor's Hammer, body not be hurt by lightning. It's impossible for us control like Thor. Digital Twins system robotic arm designed in this paper integrates physical device arm, digital model sense interaction, virtual-reality mapping module. It digitally arm. With system, we all hammer future.