A5088678302- Speech and Audio Processing
- HVDC Systems and Fault Protection
- Smart Grid and Power Systems
- Frequency Control in Power Systems
- Geographic Information Systems Studies
- Chaos-based Image/Signal Encryption
- High-Voltage Power Transmission Systems
- Rock Mechanics and Modeling
- Text and Document Classification Technologies
- Business Process Modeling and Analysis
- Indoor and Outdoor Localization Technologies
- Chemical Synthesis and Reactions
- Chalcogenide Semiconductor Thin Films
- Advanced Steganography and Watermarking Techniques
- Microgrid Control and Optimization
- Semantic Web and Ontologies
- Information and Cyber Security
- Lattice Boltzmann Simulation Studies
- Superconductivity in MgB2 and Alloys
- Power Systems and Technologies
- Rough Sets and Fuzzy Logic
- Catalytic Processes in Materials Science
- Natural Language Processing Techniques
- Solid-state spectroscopy and crystallography
- Optimal Power Flow Distribution
Shandong University of Science and Technology
2023
Shenzhen Stock Exchange
2021-2022
Fuzhou University
2018
University of the West of Scotland
2013
It is found that current ontologies for security often emphasize the concerns and concepts without their involvement in each of stages a software development process. This means will not be actually considered throughout leads lack approaches to involving In order overcome lack, new ontology has been defined together with MDA used so can play role process included as components software. paper firstly introduce this its semantics, then show how use it terms four case studies. The results...
The rapid charging/discharging feature from a superconducting magnetic energy storage (SMES) unit suits to smooth the transient voltage and power fluctuations, while zero-resistance effect cable (SC) is favored for achieving highly efficient delivery with nearly zero loss in most of energy-intensive data centers. This paper investigates novel low-voltage direct-current (LVDC) distribution scheme by using combined technology employing both SMES SC devices. Preliminary simulations demonstrate...
The application of intelligent technology such as perception, communication, etc. provides a large amount real-time data for distribution network reconstruction. Under this context, paper conducts dynamic evaluation study on reconstruction scheme. Based the analysis influencing factors planning, index scheme is put forward. Then, factor and Bayesian are employed to determine weighty, which further retrieve main affecting reconstruction, concurrently giving priority construction reformation...
Modular multi-level converter (MMC)-based multi-terminal dc (MTDC) grid (abbreviated as MMC-MTDC) is promising in the integration and transmission of bulk renewable energy. This paper analyzes transient characteristic large-scale power systems with MMC-MTDC. First, stability-electromagnetic (TS-EMT) model system established. The corresponding simulation flowchart also presented, where MMC-MTDC dynamics are calculated by EMT ac simulated TS program. Second, based on mathematical grid,...
The fingerprint-based localization technique has become a focus in indoor since it the merits of strong anti-interference ability, good network stability, high quality data transmission and wide applicability. For localization, however, offline site survey is usually time-consuming labor-intensive. Therefore, reduction becomes an important issue for localization. In this paper, we first model fingerprints all reference points (RPs) as low-tubal-rank tensor then propose two-pass adaptive...
Abstract The crisis of fossil fuel exhaustion and environmental pollution promotes the employment distribution generators in systems. intermittent random nature distributed may bring threaten to reliability stability power grid. To improve N-1 evaluation schema for grid with DGs, an index system comprehensive method are proposed this paper. Security, economy, quality development coordination analysed used as indexes. An framework is implemented analytic hierarchy process a gray relational...
Named Entity Recognition (NER) is an important task in natural language processing. However, traditional supervised NER requires large-scale annotated datasets. Distantly supervision proposed to alleviate the massive demand for datasets, but datasets constructed this way are extremely noisy and have a serious unlabeled entity problem. The cross entropy (CE) loss function highly sensitive data, leading severe performance degradation. As alternative, we propose new called NRCES cope with A...