- Plant Water Relations and Carbon Dynamics
- Impact of Light on Environment and Health
- Advanced Sensor and Energy Harvesting Materials
- Urban Heat Island Mitigation
- Recommender Systems and Techniques
- Network Security and Intrusion Detection
- Land Use and Ecosystem Services
- Cognitive Radio Networks and Spectrum Sensing
- Remote Sensing and Land Use
- Human Mobility and Location-Based Analysis
- Image and Signal Denoising Methods
- Wireless Communication Networks Research
- Air Quality Monitoring and Forecasting
- Software-Defined Networks and 5G
- Advanced MIMO Systems Optimization
- Smart Materials for Construction
- Traffic Prediction and Management Techniques
- Soil Carbon and Nitrogen Dynamics
- IoT and Edge/Fog Computing
- Advanced Image Processing Techniques
- Iterative Learning Control Systems
- Service-Oriented Architecture and Web Services
- Sparse and Compressive Sensing Techniques
- Blockchain Technology Applications and Security
- Quality Function Deployment in Product Design
Collaborative Innovation Center of Advanced Microstructures
2021-2025
Nanjing University
2021-2025
Hangzhou Normal University
2018-2024
Xinjiang University
2024
Shanxi Agricultural University
2024
Xi'an Jiaotong University
2020-2024
The Synergetic Innovation Center for Advanced Materials
2024
University of Michigan
2023-2024
Kuaishou (China)
2024
Shenyang Aerospace University
2024
Evaluating the quality and establishing an ecological network are beneficial for maintaining ecosystem health stability optimizing national spatial pattern. This study used morphological pattern analysis (MSPA) remote sensing index (RSEI) to identify sources (ESs) in Shanxi section of Yellow River Basin (SYRB). Comprehensive resistance surface is constructed corrected based on weight. The corridor was identified by Linkage Mapper tool, node barrier points were determined basis minimum cost...
Model predictive control is one of the key technologies to realize multi-time scale optimal scheduling integrated energy system. However, traditional centralized model has high order, a large amount online calculation and not easy expand, it suitable for an system with many distributed units. In this paper, method based on proposed, which realizes flexible through coordination cooperation various subsystems. Firstly, detailed models generation equipment are established according four forms...
We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive language model trained on the Pile, whose weights will be made freely and openly available to public through permissive license. It is, best of our knowledge, largest dense that has publicly at time submission. In this work, we describe \model{}'s architecture training evaluate its performance range language-understanding, mathematics, knowledge-based tasks. find GPT-NeoX-20B is particularly powerful few-shot reasoner gains far...
In this letter, we propose a robust direction-of-arrival (DOA) estimation algorithm in the context of sparse reconstruction, where some array sensors are miscalibrated. case, conventional DOA algorithms suffer from degraded performance or even failed operations. proposed approach, miscalibrated sensor observations treated as outliers, and weighting factor is adaptively optimized applied to each order effectively mitigate effect outliers. An based on maximum correntropy criterion then...
To date, the predictive analysis of lightning-induced damage carbon fiber reinforced polymer composites (CFRP) is challenging due to complex multi-physical coupling effects. The current study aims clarify mechanism CFRP and improve lightning protection systems for aerospace applications. Herein, an artificial strike experiment was designed simulate real-life conditions investigate influence on a quasi-isotropic sample. corresponding degradation process were observed by using high-speed...
Abstract With the rapid development of blockchain technology and increasing demand for partial decentralization Internet, application underlying based on has been widely concerned. Along with decentralized objects, programmable financial system represented by Ethereum gotten more attention. However, smart contract sacrifices its security to improve decentralization. So fatal problem a large number users, negligence users in coding threatens entire network. Therefore, this paper aims research...
Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting attention both researchers governors. The accurate simulation is essential for prevention hazards. In this study, a 1D pipe network 2D coupling model constructed InfoWorks ICM was used to simulate conditions in typical urbanized area north Lin’an. Two historical rainfall events 2020 were utilized verify modeling results. spatial–temporal variation...