A5100403226- Advanced Image Processing Techniques
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Advanced Vision and Imaging
- Image Processing Techniques and Applications
- Advanced optical system design
- Advanced Algorithms and Applications
- Medical Image Segmentation Techniques
- Advanced Numerical Analysis Techniques
- Video Surveillance and Tracking Methods
- Metaheuristic Optimization Algorithms Research
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Optical Coatings and Gratings
- Direction-of-Arrival Estimation Techniques
- 3D Shape Modeling and Analysis
- Image Retrieval and Classification Techniques
- Optical measurement and interference techniques
- Optical Imaging and Spectroscopy Techniques
- Photoacoustic and Ultrasonic Imaging
Ministry of Education of the People's Republic of China
2014-2024
Northwest University
2015-2024
Zhejiang Energy Research Institute
2024
Xi'an Jiaotong University
2009-2024
Xi'an Technological University
2023-2024
BGI Research
2024
Beijing Jiaotong University
2021-2024
Zhongshan Hospital
2024
North China Electric Power University
2024
East China Normal University
2024
With the development of automated logistics systems, flexible manufacture systems (FMS) and unmanned factories, application guided vehicle (AGV) gradually become more important to improve production efficiency automatism for enterprises. The AGV play an role in reducing labor cost, improving working conditions, unifying information flow logistics. Path planning has been a key issue control system. In this paper, two problems, shortest time path collision multi have solved. An improved A-Star...
The Simultaneous Multiple Surface (SMS) method in planar geometry (2D) is applied to imaging designs, generating lenses that compare well with aplanatic designs.When the merit function utilizes image quality over entire field (not just paraxial), SMS strategy superior.In fact, traditional approach actually a particular case of strategy.
Background: Oxytropis ochrocephala Bunge, an indigenous locoweed species in China, poses great threats to livestock on grasslands. There is a need for further genetic study the plants per se, understanding basis of its acclimation mechanism various unfavorable environmental conditions and implement effective control measures. Quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) most commonly used method gene expression analysis. To facilitate studies obtain more...
The gearbox is one of the most important components in a wind turbine (WT) system, and fault diagnosis WT for maintenance cost reduction paramount importance. However, feature identification primary challenge because weak features are always obscured by heavy background noise multiple harmonic interferences. In this paper, dual-enhanced sparse decomposition (DESD) method proposed to address enhancement vibration signal. Within method, nonconvex generalized minimax-concave (GMC) penalty used...
Research in covariance structure analysis suggests that nonnormal data will invalidate chi‐square tests and produce erroneous standard errors. However, much remains unknown about the extent to conditions under which highly skewed kurtotic can affect parameter estimates, errors, fit indices. Using actual varying sample sizes estimation methods, we found (a) normal theory maximum likelihood (ML) generalized least squares estimators were fairly consistent almost identical, (b) errors tended...
An interpolation method is proposed for generating the intermediate contours between a start contour and goal contour. Coupled with display voxel-based objects, it provides powerful tool reconstructing 3D object from serial cross sections. The tries to fill in lost information two slices, assuming that there smooth change them. This reasonable assumption provided sampling at least twice Nyquist rate, which case result of expected be very close reality. One major advantages this approach its...
Different from the ground image with uniform haze, haze in remote sensing (RS) has characteristics of irregular shape and uneven concentration hazy weather. It brings a great challenge to application RS data advanced processing tasks. A novel dehazing network for non-uniform image, named as KFA-Net, is proposed solve aforementioned issues. The designed asymmetric size feature cascade (ASFC), k-means pixel attention (KPA) FFT channel (FCA) KFA-Net all show excellent effects. Compared...
Abstract In wartime scenarios where global navigation satellite system (GNSS) may be compromised, the cumulative errors associated with inertial systems (INSs) can lead to significant positional deviations during long-distance of drones. To address this issue, study proposes an innovative vision-inertial interactive autonomous positioning algorithm that integrates visual measurement unit-based methods, aiming achieve enhanced robustness and optimal accuracy. The first implements adaptive...
Serverless platforms typically adopt an early-binding approach for function sizing, requiring developers to specify immutable size each within a workflow beforehand. Accounting potential runtime variability, must functions worst-case scenarios ensure service-level objectives (SLOs), resulting in significant resource inefficiency. To address this issue, we propose Janus, novel adaptation framework serverless platforms. Janus employs late-binding approach, allowing sizes be dynamically adapted...
Tool wear prediction constitutes a critical enabler for intelligent manufacturing systems, providing scientific decision support proactive maintenance scheduling. is challenge in manufacturing, as accurate predictions can optimize production processes, reduce downtime, and lower costs. However, existing methods face significant limitations: traditional machine learning approaches rely heavily on complex feature engineering, requiring extensive domain expertise, which limits their...
This paper develops a new approach to band selection for multiple-target detection, called constrained-target (CTBS). Its idea is derived from the concept of constrained energy minimization (CEM) by constraining target interest, while minimizing variance resulting background (BKG). By taking advantage CEM, produced interest can be further used as measure prioritizing bands well means selecting this particular target. As result, two CTBS-based prioritization (BP) criteria, minimal...
An improved method for automatically reconstructing a three-dimensional object from serial cross sections is presented. The improves the dynamic elastic contour interpolation technique. There are two major improvements: (1) in case of branching that involves concave contours, instead pairwise between start and each goal contour, image considered globally local constraints imposed on forces exerting upon vertices; (2) it takes continuity high-order derivatives into consideration incorporates...
In this paper we present a novel data miming approach to predict long term behavior of stock trend. Traditional techniques on trend prediction have shown their limitations when using time series algorithms or volatility modelling price sequence. our research, outlier mining algorithm is proposed detect anomalies the basis volume sequence high frequency tick-by tick market. Such anomaly trades always inference with in By cluster information such anomalies, effectively really world Experiment...
The cubic-spline interpolation (CSI) scheme can be utilized to obtain a better quality reconstructed image. It is based on the least-squares method with cubic convolution (CCI) function. Within parametric CSI scheme, it difficult determine optimal parameter for various target images. In this paper, novel involving concept of opportunity costs proposed identify most suitable CCI function needed in scheme. shown that such an four-point conjunction achieve performance same arithmetic operations...
Cooperative coevolution (CC) has shown great potential for solving large-scale optimization problems (LSOPs). However, traditional CC algorithms often waste part of the computation resource (CR) as they equally allocate CR among all subproblems. The recently developed contribution-based improve ones to a certain extent by adaptively allocating according some heuristic rules. Different from existing works, this paper explicitly constructs mathematical model allocation (CRA) problem in and...
For the three-dimensional (3D) point cloud acquisition system, accurately estimating measurement model parameters is essential, so a calibration algorithm based on kernel mean <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> -power error (KMPE) cost function for 3D system proposed. Firstly, space sphere with unknown radius chosen as target. Secondly, since KMPE insensitive to noise and outliers, we establish function-based nonlinear...