机构

• 自动化研究所 [4]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 武汉岩土力学研究所 [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [6]
• 会议论文 [1]

发表日期

• 2024 [3]
• 2023 [1]
• 2021 [1]
• 2018 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 Investigation on the failure mechanism of hard rock cavern subjected to adjacent structural plane based on physical model experiments 期刊论文  OAI收割 THEORETICAL AND APPLIED FRACTURE MECHANICS, 2024, 卷号: 131, 页码: 14 作者:  Xu, Huaisheng;  Li, Shaojun;  Xu, Dingping;  Liu, Xiuyang;  Huang, Xiang   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/06/27 Structural plane  Hard rock cavern  Physical model experiments  Acoustic emission (AE)  Digital image correlation (DIC)  PFC simulation   Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4493-4503 作者:  Jin, Long;  Liu, Longqi;  Wang, Xingxia;  Shang, Mingsheng;  Wang, Fei-Yue   |  收藏  |  浏览/下载：53/0  |  提交时间：2024/07/03 Mathematical models  Trajectory tracking  Task analysis  Predictive models  Intelligent vehicles  Computational modeling  Trajectory  Artificial systems  computational experiments  model predictive control (MPC) controller  parallel execution (ACP)  physical-informed neural network (PINN)  trajectory tracking tasks   Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li   |  收藏  |  浏览/下载：37/0  |  提交时间：2024/03/18 Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model   The Development of AgriVerse: Past, Present, and Future 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10 作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe   |  收藏  |  浏览/下载：52/0  |  提交时间：2023/02/22 Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model   Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 9 作者:  Jin, Long;  Li, Jiachang;  Sun, Zhongbo;  Lu, Jingwei;  Wang, Fei-Yue   |  收藏  |  浏览/下载：37/0  |  提交时间：2022/01/27 Mathematical models  Computational modeling  Numerical models  Nonlinear equations  Convergence  Analytical models  Time-varying systems  Artificial systems  computational experiments  and parallel execution (ACP)  discrete-time neural dynamics (DTND) model  human lower limb physical experiment  nonlinear equations   Characteristics of aeration in the flow downstream of a radial gate with a sudden fall-expansion aerator in a discharge tunnel 期刊论文  OAI收割 WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2018, 卷号: 18, 期号: 3, 页码: 790-798 作者:  Shuai Li;  Xiaoqing Chen;  Gordon G. D. Zhou;  Jiangang Chen   |  收藏  |  浏览/下载：53/0  |  提交时间：2018/07/24 discharge tunnel  numerical model  physical experiments  radial gate opening  sudden fall-expansion aerator   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者:  Wang Y.;  Li J.;  Li J.;  Li J.;  Wang Y. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.