A5012774161- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Remote-Sensing Image Classification
- Color Science and Applications
- Manufacturing Process and Optimization
- Video Analysis and Summarization
- Remote Sensing and Land Use
- Hydrocarbon exploration and reservoir analysis
- Seismic Imaging and Inversion Techniques
- Advanced Graph Neural Networks
- Optimization and Search Problems
- Complex Network Analysis Techniques
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Human Pose and Action Recognition
- Petri Nets in System Modeling
- Cloud Computing and Remote Desktop Technologies
- Tea Polyphenols and Effects
- Image Enhancement Techniques
- Semiconductor materials and interfaces
- Ion-surface interactions and analysis
- Biomedical and Engineering Education
- Advanced Image Fusion Techniques
- Graph Theory and Algorithms
- Cloud Data Security Solutions
Ningbo University
2020-2024
Changchun University of Science and Technology
2023-2024
Peking University Sixth Hospital
2022
Peking University
2022
Beijing Union University
2009-2022
Tianjin University
2020-2022
Czech Academy of Sciences, Institute of Geology
2020
Harbin University of Science and Technology
2019
China University of Geosciences
2015
Zhejiang University
2011
A spatial regularized local manifold learning (SR_LML) approach is investigated for dimensionality reduction (DR) of hyperspectral images, where the regularizer constrains neighbors with high spectral similarity to have similar embedding coordinates. SR_LML requires processed data contain good relations, but requirement may not be satisfied. We solve problem by dividing image into small tiles and applying in each them. In a tile, pixel spatially related some other pixels, thus relations can...
In a practical development environment, the completion of job often necessitates coordinated allocation multiple resources. However, resource constraints such as molds are seldom taken into account in multi-resource shop scheduling problem. These have sequence-dependent setup times and fully occupied during processing. Therefore, this study focuses on Flexible Job Shop Scheduling Problem with Mold Resource Setup Time Optimization (FJSP-MRST), which aims to minimize time makespan. Considering...
Temperature compensation occupies a significant function in the insulation condition evaluation of converter transformer bushings based on Frequency Domain Spectroscopy (FDS), which could influence accuracy its diagnosis. In order to accurately obtain variation law FDS at different temperature, Resin Impregnated Paper (RIP) bushing for was designed by equivalence maximum electric field, coaxial cylinder structure and RIP materials. The increment dielectric parameters both dissipation factor...
Hyperspectral image visualization reduces high-dimensional spectral bands to three color channels, which are sought in order explain well the nonlinear data characteristics that hidden bands. Despite surge linear techniques, development of has been limited. The paper presents a new technique for hyperspectral using t-distributed stochastic neighbor embedding, called VHI-tSNE, learns mapping between space and three-dimensional space. VHI-tSNE transforms into bilateral probability...
The customized products such as electromechanical prototype are a type of product with research and trial manufacturing characteristics. BOM structures processing parameters the vary greatly, making it difficult for single shop to meet wide range parameters. For dynamic fuzzy characteristics products, not only coordinated transport time multiple shops but also fact that has designated output should be considered. In order solve Multi-shop Integrated Scheduling Problem Fixed Output Constraint...
Abstract Because distributed manufacturing technology is the foundation of modernized production and traditional heuristic methods exhibit problems high complexity low efficiency, this paper designs a scheduling algorithm based on singular value decomposition (SVDH) method. The uses device distribution transportation relationship between devices in system. takes sequence tasks distance as implicit task device. makes use to amend processing time matrix corrects that contains relationship....
This work presented an approach for color and texture classification of green tea using Least Squares Support Vector Machine (LSSVM). Color features extracted from histogram every channel in RGB HSI space, computed Grey Level Co-occurrence Matrix (GLCM) different combinations the features, were used respectively as input data set LSSVM classifiers. The performances these methods compared. results show that combined space give best performance with accuracy 96.33% prediction unknown samples...
Text-guided Video Temporal Grounding (VTG) aims to localize relevant segments in untrimmed videos based on textual descriptions, encompassing two subtasks: Moment Retrieval (MR) and Highlight Detection (HD). Although previous typical methods have achieved commendable results, it is still challenging retrieve short video moments. This primarily due the reliance sparse limited decoder queries, which significantly constrain accuracy of predictions. Furthermore, suboptimal outcomes often arise...
With the development of computer network technology, there is a great change on teaching method. Network education has become new trend and construction platform becomes an important part university building environment. On base analyzing characteristic in institutions higher learning, article points out problems current puts forward corresponding solutions.
Feature selection aims at selecting a feature subset that has the most discriminative information and preserve of characteristics from original features in HyperSpectral Image (HSI) classification. This paper proposes two-stage method based on Mutual Information (MI) Je ffries-Matusita (J-M) measure. In first stage, we select with minimal redundancy maximal relevance criteria. second further which obtained stage by maximizing J-M distance. Multiple Kernel Learning (MKL) Ensemble (EL) are...
The flexible job shop scheduling problem (FJSP) is a complex with significant applications in modern manufacturing. While various metainspired algorithms are widely used FJSP, they of-ten converge to local optima, especially as the size increases. To overcome this, we propose an adaptive hybrid algorithm three stages of "explore-exploit-escape" (E3HA). In first stage, design Simplified Variable Neighborhood Search (Sim-VNS) and introduce Nopt1 for extensive exploration solution spaces....
Simulated turbulence phase screens are widely used in various optical experiment scenarios, but there is no satisfactory solution terms of speed and accuracy so far. For this purpose, we use the numerical simulation method screen based on sparse spectral model to generate a large amount data make Liquid Crystal Atmospheric Turbulence Simulator (LC-ATS) have ability simulate atmosphere real-time by using Computational Unified Device Architecture (CUDA) GPU for parallel computation....
Professional synthetic training (PST) is an important part in engineering education. It intends to enhance integrative experiment and designing for students. covers a wide range of professional courses overcomes the drawbacks traditional teaching, such as attention experiments their own independent course theorems verification. PST based on working process contributes taking engineering-oriented thought through whole teaching process, gradually cultivates consciousness ability independently...
A (t,n) threshold proxy signature scheme enables a signer to sign messages on behalf of the original signer. Hwang et al. recently proposed an practical (t, n) scheme. In this paper we propose efficient based RSA scheme, which improves security their Our divides document M into m blocks and add some redundant bits each message block. It is embedded in issuing phase avoid conspiracy attack. The satisfies all secure requirements efficient.
Information is an irreversible general trend of social and world economy's development. E-government means to make full use information technology enhance the effective management government, in order promote transformation government functions improve level. However, e-government faces with some problems, such as security issues. First, this paper analyzes characteristics system points out its threats. Then gives outs frame based on user role certificates. In end, implementation model web...
Collaborative learning is a new teaching mode that comes into being under the contemporary circumstances. It important to improve student's creative ability, cooperative spirit and improvement of utilization resource. Through research on connotation collaborative SOA methodology, this paper analyses their common characteristics gives out model SOA-based platform. In last place, detailed analysis implementation each function module demonstrated.