Ben Wang

ORCID: 0000-0002-5341-1642
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About
Contact & Profiles
Research Areas
  • 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...

10.1016/j.ecolind.2024.112382 article EN cc-by-nc-nd Ecological Indicators 2024-07-19

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...

10.1016/j.egyr.2022.05.184 article EN cc-by-nc-nd Energy Reports 2022-06-09

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...

10.48550/arxiv.2204.06745 preprint EN cc-by arXiv (Cornell University) 2022-01-01

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...

10.1109/lsp.2017.2708659 article EN publisher-specific-oa IEEE Signal Processing Letters 2017-05-26

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...

10.1016/j.matdes.2020.108724 article EN cc-by-nc-nd Materials & Design 2020-04-23

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...

10.1088/1742-6596/1748/4/042016 article EN Journal of Physics Conference Series 2021-01-01

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...

10.3390/ijerph19127210 article EN International Journal of Environmental Research and Public Health 2022-06-12
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