- Power Line Inspection Robots
- Laser and Thermal Forming Techniques
- Robotics and Sensor-Based Localization
- Metal Forming Simulation Techniques
- Underwater Vehicles and Communication Systems
- UAV Applications and Optimization
- Neural Networks and Applications
- Metallurgy and Material Forming
- Image Processing and 3D Reconstruction
- Advanced Sensor and Control Systems
- Optical measurement and interference techniques
- Structural Load-Bearing Analysis
- Advanced Vision and Imaging
- Indoor and Outdoor Localization Technologies
- Teleoperation and Haptic Systems
- 3D Surveying and Cultural Heritage
- Infrastructure Maintenance and Monitoring
- Icing and De-icing Technologies
- Hand Gesture Recognition Systems
- Power Systems and Renewable Energy
- Network Time Synchronization Technologies
- High voltage insulation and dielectric phenomena
- Structural Engineering and Vibration Analysis
- Ultrasonics and Acoustic Wave Propagation
- Gaze Tracking and Assistive Technology
Jilin Electric Power Research Institute (China)
2024
Henan University of Science and Technology
2024
Shanghai Jiao Tong University
2005-2024
Yanshan University
2007-2024
Shanghai Ninth People's Hospital
2024
University of Strathclyde
2018-2023
Hong Kong Polytechnic University
2020-2022
Institute of Deep-Sea Science and Engineering
2020
Sichuan Agricultural University
2010-2018
Wuhan University
2018
This paper studies the problem of automatic detection false rumors on Sina Weibo, popular Chinese microblogging social network. Traditional feature-based approaches extract features from rumor message, its author, as well statistics responses to form a flat feature vector. ignores propagation structure messages and has not achieved very good results. We propose graph-kernel based hybrid SVM classifier which captures high-order patterns in addition semantic such topics sentiments. The new...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> With the appearance of electricity markets, variation price will influence usage custom electric energy. This complicate short-term load forecasting and challenge existing methods that are applied to a fixed-price environment. In regard real-time prices on load, model forecast is established by combining radial basis function (RBF) neural network with adaptive fuzzy inference system (ANFIS). The...
Using activated-carbon-based electrodes derived from waste biomass in super-capacitor energy technologies is an essential future strategy to achieve sustainable and environmental protection.
Providing an accurate trajectory in underwater scene is challenging for visual odometry due to weak texture and varying illumination. In this article, we propose a novel visual-inertial (VIO) with the unifying direct method feature-based method. Our approach starts new rectification images. The image separately eliminates water-air refraction distortion lens approximate single viewpoint (SVP) camera model. Meanwhile, unified optimization used our obtain robust highly results. This jointly...
The normal operation of a power grid largely depends on the effective monitoring and maintenance transmission lines, which is process that has many challenges. traditional method manual or remote inspection lines time-consuming, laborious, inefficient. To address this problem, novel been proposed for Multi-Robot Cyber Physical System (MRCPS) based robots, wireless sensor network (WSN), multi-agent theory to achieve low-cost, efficient, fault-tolerant, grids. For sake an system smart grids,...
Based on the high positioning accuracy, low cost and low-power consumption, ultra-wide-band (UWB) is an ideal solution for indoor unmanned aerial vehicle (UAV) localization navigation. However, UWB signals are easy to be blocked or reflected by obstacles such as walls furniture. A resilient tightly-coupled inertial navigation system (INS)/UWB integration proposed implemented UAV in this paper. factor graph optimization (FGO) method enhanced stochastic model established cope with challenging...
Obstacle distance measurement is one of the key technologies for cable inspection robots on high-voltage transmission lines. This article develops a novel method based binocular vision extracting feature points images and reconstructing 3D scenes. The proposed seamlessly incorporates camera calibration, dense stereo matching, reconstruction. We apply calibration to acquire intrinsic extrinsic parameters use an improved Semi-Global Matching (SGM) algorithm least squares fitting interpolation...
The rapid development of the smart grid has led to higher maintenance cost and greater scalability transmission lines. An effective secure monitoring system for power lines become a bottleneck restricting intellectualization grids. To address this problem, novel method is proposed intelligent grids (Robot Delay-Tolerant Sensor Network, RDTSN) based on an inspection robot, Wireless Network (WSN) (DTSN) achieve low-cost, energy-efficient, elastic remote With RDTSN, can detect fault evaluate...
Visual-Inertial Odometry (VIO) is becoming more and popular in underwater localization methods because of its high precision low cost. However, due to the difficulty obtaining ground truth open-sea areas, existing VIO datasets normally lack complete accurate trajectories, which has limited evolution scenes. This paper proposed an visual-inertial dataset with millimeter accuracy was obtained through a motion capture system. To best our knowledge, it first truth. make suitable for evaluating...
Unnatural amino acids (UAAs) are highly valuable building blocks in organic synthesis, pharmaceuticals, and material sciences. Previously, we developed the LADA strategy for synthesis of UAAs. Herein, further expanded scope this to alkenylboronic acids. Interestingly, both photoinduced single-electron transfer (SET) energy (EnT) processes were involved reaction,
This paper presents a novel auto feedback system used in smart classroom based on face and eye detection technology PTZ camera. The is to address the issue of students' inattentiveness occurred learning procedure by sending them instant feedback. In this paper, we use camera for images gathering, locating each student using technique, detecting status though then Wi-Fi environment. main contribution our research combining into environment provide an approach remind students when they are...
Performance analysis is conducted for an adaptive bistable point absorber wave energy converter under white noise excitation. The power capture mechanism composed of two oblique springs responsible characteristics, and auxiliary realizing the `adaptive' feature. White excitation adopted to explore effects multi-frequency input in absence different distribution characteristics. Time domain simulations are performed based on Cummins equations derived from linear potential flow theory. Results...
Based on the two-dimensional neural map, we use Gaussian white noise to imitate noisy environments of neurons. We investigate impacts phase diagram parameters. It is found that adding leads an enhancement excitability system. also study coherence resonance (CR) by numerical simulation, and parameter condition CR phenomenon discussed. Only when parameters system are chosen in regime silence near dividing line between spiking can get phenomenon.
Construction claims are contractor's legitimate rights from contract. And it is also the legal means to maintain economic interests. The quality of claim reports comprehensively shows level management. This paper expounds constituents and their correlations. Calculations for financial time mainly analyzed skills making analyzes too. provides reference management personnel.
With standard IEC 61850 hierarchy improving and smart substation constructing, the network time synchronization systems have been used in substations even more. This paper analyzed advantages shortages of system, introduced requirements, technical characteristics networking methods substation. To solve potential security risks production design architecture, this also provided a evaluation method based on emulation under traffic that could ensure safe reliable operation IEC61588 system...
After the research of automation and flexible production, intelligent press forming is main object sheet metal forming. The key technologies real-time monitoring, identifying, predicting controlling were studied, which constitute basis deep drawing control theory. In this paper, a rule BHF (blank hold force) based on mechanical model was built. satisfying result obtained when artificial neural network used in case identification. By using production technology virtual instrument, experiment...
3D depth information acquisition is a time consumption and costly work. This paper firstly discusses compares three different deployments of camera system calibration. On the fundament calibrated system, this devises two stage structured light scanning method to accelerate processing speed with high accuracy precision. The result experiment shows will decrease amount processed points, works out problem well can produce satisfying map.
Multi-point tooling forming is one of the special categories sheet metal techniques with good operational flexibilities due to using two sets adjustable pins along machine ram direction (vertical usually), which represent acting points desired forming-tool surface contours. Nevertheless, some defects may develop during under different process and machine-set conditions, such as wrinkles undesired indents. This paper presents a study influences possible variations by adjusting well associated...
This paper presents an automatic heliostats fault detection and diagnosis system using machine vision techniques common CCD devices for a solar power plant. The of plant reflect radiation onto receiver placed at the top tower in order to provide desired energy flux distribution correlated with coolant flow through receiver, usually open loop control configuration. Each heliostat maintains reflection moving sun receiver. A long time running will make mechanical components which modify azimuth...