检索结果-内蒙古大学图书馆

Soft Magnetic Skin's Deformation Analysis for Tactile Perception

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2023年第12期70卷 12883-12893页

作者： Gui, Mei-Jiang Zhou, Xiao-Hu Xie, Xiao-Liang Liu, Shi-Qi Feng, Zhen-Qiu Hou, Zeng-Guang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techno Beijing 100190 Peoples R China Macau Univ Sci & Technol Inst Syst Engn Joint Lab Intelligence Sci & Technol Macau 999078 Peoples R China

Soft magnetic skins have been widely adopted for tactile perception due to their high accuracy and simple wiring advantages. However, the perceptual properties of magnetic skins are limited by information mapping relationships with weak interpretation. To overcome existing limitations, dynamic Young's modulus (DYM) is proposed in this article based on the strain energy density function to precisely describe the compression stiffness of magnetic skins. Furthermore, a highly interpretable and broadly applicable method is derived using DYM to analyze a cylindrical magnetic skin's deformation process as the skin deformed under external mechanic load. Extensive experiments in simulated and real situations with different deformations are carried out to verify the proposed method. Experimental results demonstrate that 0.14% and 0.43% relative errors in simulated and real environments, respectively, can be reached. Moreover, the proposed method can achieve minimum errors in almost all situations than data-driven or state-of-the-art analysis approaches. And the generality of the proposed method is validated by experiments conducted on skins with two different shapes. These promising results indicate the potential of the proposed method in establishing practical information mapping relationships for magnetic skins, probably addressing the significant challenges for magnetic skin application in complex scenarios.

关键词： Soft magnetic skins deformations analy-sis dynamic Young's modulus (DYM) finite-element simu-lation tactile perception

来源：评论

学校读者我要写书评

暂无评论

The Quality Evaluation of Academic Papers in Carbon Capture, Utilization, and Storage

The Quality Evaluation of Academic Papers in Carbon Capture,...

引用

2022 International Conference on Machine Learning, control, and Robotics, MLCR 2022

作者： Zhang, Hangyue Bai, Jie School of Computer Science and Technology Sun Yat-sen University Guangzhou510275 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing100190 China

ISBN: (纸本)9781665454599

Carbon capture, utilization, and storage (CCUS) technology is a research hotspot worldwide owing to global climate change and warm gas control. CCUS papers from the last twenty years, derived from the Web of Science database, were analyzed to investigate the impact and citation of academic papers using machine learning methods. Firstly, nine author characteristics, keywords, and three other categories were extracted from the literature. Then, the natural logarithm distribution of the annual average number of citations was obtained, and five evaluation grades were decided based on the citations. Next, the keyword evolution of papers in the CCUS field is analyzed, and a model on the keyword evolution trend index is proposed. Data integration and imbalance processing were conducted after random sampling. A citation prediction model was proposed to evaluate the quality of CCUS academic papers and was verified on the recent five years' CCUS papers by comparing it with nine other mainstream machine learning models. The results indicate that the random forest model exhibits the best performance, with an accuracy rate reaching 88.7%;an ablation experiment was also conducted using the same algorithm. The results prove the effectiveness of our proposed method, shedding light on the quality of academic papers and technology development in CCUS. © 2022 IEEE.

关键词： Climate change

来源：评论

学校读者我要写书评

暂无评论

Parallel Emergency management of Incidents by Integrating OODA and PREA Loops: The C2 Mechanism and Modes

引用

IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2023年第4期53卷 2160-2172页

作者： Yang, Dongsheng Li, Qiang Zhu, Fenghua Cui, Huachao Yi, Wen Qin, Jirong Jinan Univ Sch Publ Management Emergency Management Lab Mil Civilian Integrat Emergency Command & Cont Guangzhou 510632 Guangdong Peoples R China 28th Res Inst China Elect Technol Grp Corp Nanjing 210007 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Controlof Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China Jinan Univ Sch Publ Management Emergency Management Lab Mil Civilian Integrat Emergency Command & Cont Guangzhou 510632 Guangdong Peoples R China North Automat Control Technol Inst Taiyuan 030006 Peoples R China

Given the differences of command and control (C2) activities between the field command center and the emergency operations center (EOC), this article combined the edge C2 theory with the parallel C2 theory, and proposed a parallel incident C2 mode based on the observe-orient-decide-act (OODA) loop and planning-readiness-execution-assessment (PREA) loop. The aim is to build up a PREA loop-based parallel incident C2 mode and its related operating mechanism of edge empowerment and energy release in parallel incident C2 mode. The parallel incident C2 mode based on the PREA loop and OODA loop supports the co-existence and connection of the two roles of the incident C2 agent at the emergency scene. The two roles are the executive role of emergency response and operation and the command and organization role of the edge emergency system. This article initiates a deep integration of two different C2 process mechanisms in the emergency response and operation process, taking into account the local emergency scene and the global emergency system. Taken together, a key issue has been well addressed regarding the contradiction that the traditional emergency response cannot be reconciled in terms of rapidity and thoroughness.

关键词： Edge command and control (edge C2) incident C2 observe-orient-decide-act (OODA) loop parallel command and control (parallel C2) planning-readiness-execution-assessment (PREA) loop

来源：评论

学校读者我要写书评

暂无评论

Identifying Critical Test Scenarios for Lane Keeping Assistance System Using Analytic Hierarchy Process and Hierarchical Clustering

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

引用

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2023年第10期8卷 4370-4380页

作者： Song, Rui Li, Xuan Zhao, Xiangmo Liu, Mingyang Zhou, Jianhua Wang, Fei-Yue Changan Univ Sch Informat Engn Xian 710064 Peoples R China China Automot Technol Res Ctr Co Ltd Tianjin 300300 Peoples R China Peng Cheng Lab Shenzhen 518000 Peoples R China CATARC Automot Test Ctr Guangzhou Co Ltd Guangzhou 511300 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Lane keeping assistance system (LKAS) is critical components of autonomous driving technologies, and their reliable operation is crucial to ensure passenger safety and maintain traffic flow. The validation of LKAS's safety and performance requires extensive testing using diverse and representative test scenarios. However, identifying the most critical test scenarios from a large data is a significant challenge. Inspired by Scenarios Engineering, the present study introduces a novel approach that includes being the first to combine analytic hierarchy process (AHP) and hierarchical clustering (HC) to identify critical test scenarios for the comprehensive evaluation of LKAS. The proposed approach first utilizes the AHP to rank the key factors that contribute to the failure of the LKAS. Then, by taking the key factors as clustering parameters, the HC method is employed to cluster LKAS failure scenarios with similar characteristics. The experimental results suggest that our method is capable of effectively clustering 200 LKAS failure scenarios into 9 categories of critical, reasonable, and reliable LKAS test scenarios. Furthermore, these 9 categories of critical test scenarios can provide guidance for the development and testing of autonomous driving and serve as a foundation for establishing a testing and evaluation system for LKAS in China and around the world.

关键词： Analytic hierarchy process Accidents autonomous vehicles critical test scenarios hierarchical clustering lane keeping asistance system scenarios engineering

来源：评论

学校读者我要写书评

暂无评论

GBERT: Pre-training User representations for Ephemeral Group Recommendation 22

GBERT: Pre-training User representations for Ephemeral Group...

引用

31st ACM International Conference on Information and Knowledge management (CIKM)

作者： Zhang, Song Zheng, Nan Wang, Danli Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China

ISBN: (纸本)9781450392365

Due to the prevalence of group activities on social networks, group recommendations have received an increasing number of attentions. Most group recommendation methods concentrated on dealing with persistent groups, while little attention has paid to ephemeral groups. Ephemeral groups are formed ad-hoc for one-time activities, and therefore they suffer severely from data sparsity and cold-start problems. To deal with such problems, we propose a pre-training and fine-tuning method called GBERT for improved group recommendations, which employs BERT to enhance the expressivity and capture group-specific preferences of members. In the pre-training stage, GBERT employs three pre-training tasks to alleviate data sparsity and cold-start problem, and learn better user representations. In the fine-tuning stage, an influence-based regulation objective is designed to regulate user and group representations by allocating weights according to each member's influence. Extensive experiments on three public datasets demonstrate its superiority over the state-of-the-art methods for ephemeral group recommendations.

关键词： Group Recommendation Neural Networks Pre-training Representation Learning User Preference

来源：评论

学校读者我要写书评

暂无评论

Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework

引用

IEEE-ASME TRANSACTIONS ON MECHATRONICS 2022年第6期27卷 4281-4292页

作者： Meng, Yan Wu, Zhengxing Zhang, Pengfei Wang, Jian Yu, Junzhi Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Peking Univ Coll Engn Beijing Innovat Ctr Engn Sci & Adv Technol Dept Adv Mfg & RobotState Key Lab Turbulence & C Beijing 100871 Peoples R China

The rhythmic movement of bioinspired robotic fish brings about undesirable visual jitter. Note that the unstable camera path of this kind of robot is characterized by obvious regularity and predictability, of which traditional stabilization methods have not made full advantage. This article proposes a novel estimation-and-prediction framework for real-time digital video stabilization of bioinspired robotic fish. First, based on the attitude information of an inertial measurement unit (IMU), a camera-IMU model is established, where the homography transformation with eight degrees of freedom (DOFs) is reduced to translation transformation with two DOFs. Second, traditional optical flow and gray projection methods as well as a novel translation estimation network are employed to estimate the translations between consecutive frames. Third, a lightweight long short-term memory (LSTM) network is constructed, allowing remarkable prediction and smoothing of the camera path. Finally, aquatic experiments under various scenarios are conducted on a manta-inspired robot, demonstrating the effectiveness of the proposed method. Specifically, compared with the state-of-the-art commercial offline stabilization software, our online stabilization algorithm achieves approximate visual stability and remarkably faster stabilization speed. The obtained results shed light on visual sensing and control applications of bioinspired underwater vehicles.

关键词： Bioinspired robot digital video stabilization estimation-and-prediction framework robotic fish vision system

来源：评论

学校读者我要写书评

暂无评论

VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

引用

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2024年第4期9卷 4579-4582页

作者： Dai, Xingyuan Guo, Chao Tang, Yun Li, Haichuan Wang, Yutong Huang, Jun Tian, Yonglin Xia, Xin Lv, Yisheng Wang, Fei-Yue Changan Univ Engn Res Ctr Highway Infrastruct Digitalizat Xian 710064 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence S Beijing 100190 Peoples R China Shanghai Artificial Intelligence Lab Shanghai 20030 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore 639798 Singapore Univ Turku Dept Comp Turku 20014 Finland Macau Univ Sci & Technol Macau 999078 Peoples R China UCLA UCLA Mobil Lab Dept Civil & Environm Engn Los Angeles CA 90095 USA Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Autonomous driving based on foundation models has recently garnered widespread attention. However, the risk of hallucinations inherent in foundation models could compromise the safety and reliability of autonomous driving systems. This letter, as part of a series of reports from the Distributed/Decentralized Hybrid Workshop on Foundation/Infrastructure Intelligence (DHW-FII), aims to tackle these issues. We introduce VistaRAG, which integrates retrieval-augmented generation (RAG) technologies into autonomous driving systems based on foundation models, to address the inherent reliability challenges in decision-making. VistaRAG employs a dynamic retrieval mechanism to access highly relevant driving experience, real-time road network status, and other contextual information from external databases. This aids foundation models in informed reasoning and decision-making, thereby enhancing the safety and trustworthiness of foundation-model-based autonomous driving systems under complex traffic scenarios.

关键词： Databases Autonomous vehicles Decision making Safety Data models Real-time systems Reliability Intelligent vehicles foundation models retrieval- augmented generation (RAG)

来源：评论

学校读者我要写书评

暂无评论

A Transfer Learning Model for Gesture Recognition Based on the Deep Features Extracted by CNN

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2021年第5期2卷 447-458页

作者： Zou, Yongxiang Cheng, Long The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China

The surface electromyogram (sEMG) based hand gesture recognition is prevalent in human-computer interface systems. However, the generalization of the recognition model does not perform well on cross-subject and cross-day. Transfer learning, which applies the pretrained model to another task, has demonstrated its effectiveness in solving this kind of problem. In this regard, this article first proposes a multiscale kernel convolutional neural network (MKCNN) model to extract and fuse multiscale features of the multichannel sEMG signals. Based on the proposed MKCNN model, a transfer learning model named TL-MKCNN combines the MKCNN and its Siamese network by a custom distribution normalization module (DNM) and a distribution alignment module (DAM) to realize domain adaptation. The DNM can cluster the deep features extracted from different domains to their category center points embedded in the feature space, and the DAM further aligns the overall distribution of the deep features from different domains. The MKCNN model and the TL-MKCNN model are tested on various benchmark databases to verify the effectiveness of the transfer learning framework. The experimental results show that, on the benchmark database NinaPro DB6, the average accuracies of TL-MKCNN can achieve 97.22% on within-session, 74.48% on cross-subject, and 90.30% on cross-day, which are 4.31%, 11.58%, and 5.51% higher than those of the MKCNN model on within-session, cross-subject, and cross-day, respectively. Compared with the state-of-the-art works, the TL-MKCNN obtains 13.38% and 37.88% accuracy improvement on cross-subject and cross-day, respectively. Impact statement-Intelligent robot technology has dramatically promoted economic development and social progress. The HCI system is widely implemented in the robotics field because it can fill the gap between human intentions and robotic control, and a more robust generalization HCI system can make the interaction between humans and robots more convenient

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Removing Feasibility Conditions on Adaptive Neural Tracking control of Nonlinear Time-Delay systems With Time-Varying Powers, Input, and Full-state Constraints

引用

IEEE TRANSACTIONS ON CYBERNETICS 2022年第4期52卷 2553-2564页

作者： Guo, Chao Xie, Xue-Jun Hou, Zeng-Guang Dezhou Univ Sch Math & Big Data Dezhou 253023 Peoples R China Qufu Normal Univ Inst Automat Qufu 273165 Shandong Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

This article investigates the tracking control for input and full-state-constrained nonlinear time-delay systems with unknown time-varying powers, whose nonlinearities do not impose any growth assumption. By utilizing the auxiliary control signal and nonlinear state-dependent transformation (NSDT) to counteract the effect of input saturation and cope with full-state constraints, respectively, and then introducing lower and higher powers and Lyapunov-Krasovskii (L-K) functionals in control design together with the adaptive neural-networks (NNs) method, an adaptive neural tracking control design is provided without feasibility conditions. It is proved that NNs approximation is valid, all the closed-loop signals are semiglobally bounded, and input and full-state constraints are not violated.

关键词： Nonlinear systems Time-varying systems control design Adaptive systems Delay effects Artificial neural networks Automation Feasibility conditions input and full-state constraints neural networks (NNs) nonlinear systems time-varying powers

来源：评论

学校读者我要写书评

暂无评论

Advancing Vehicular Healthcare: The DAO-Based Parallel Maintenance for Intelligent Vehicles

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES

引用

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 2023年第12期8卷 4671-4673页

作者： Wang, Xingxia Li, Juanjuan Fan, Lili Wang, Yutong Li, Yuke Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence S Beijing 100190 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Multimodal Artificial Intelligence S Beijing 100190 Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Uisee Technol Beijing Co Ltd Beijing 100083 Peoples R China

The 21st century has witnessed the unprecedented evolution of intelligent transportation systems, and the automotive industry is facing great challenges and opportunities. For the current research in vehicle maintenance, it overlooks issues related to data security and customized services, which have the pivotal role in the Industry 5.0 era. This letter, as a summary of the Distributed/Decentralized Hybrid Workshop on Sustainable Vehicular Ecology (DHW-SVE), discusses the DAO(decentralized autonomous organizations and operations)-based parallel maintenance, which aims not only to promote vehicular healthcare but also to facilitate data security. In addition, DAO will enable parallel maintenance with the capability of providing customized services that are closely aligned with the consumers' preferences, offering them safe and unique experiences. Driven by the decentralized mechanism, parallel maintenance will pave the way for a future that prioritizes human demands and welcomes human-oriented collaborative governance.

关键词： Parallel maintenance vehicle maintenance DAO vehicular healthcare human-oriented systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：