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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： He, Feng Miao, Qinghai Li, Yuantao Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium. © 2006 IEEE.

关键词： Transportation

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Recursive feature extraction for ordinal regression

Recursive feature extraction for ordinal regression

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2007 International Joint Conference on Neural Networks, IJCNN 2007

作者： Xia, Fen Tao, Qing Wang, Jue Zhang, Wensheng IEEE Key Laboratory of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Graduate School Chinese Academy of Sciences Beijing 100080 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)142441380X

Most existing algorithms for ordinal regression usually seek an orientation for which the projected samples are well separated, and seriate intervals on that orientation to represent the ranks. However, these algorithms only make use of one dimension in the sample space, which would definitely lose some useful information in its complementary subspace. As a remedy, we propose an algorithm framework for ordinal regression which consists of two phases: recursively extracting features from the decreasing subspace and learning a ranking rule from the examples represented by the new features. In this framework, every algorithm that projects samples onto a line can be used as a feature extractor and features with decreasing ranking ability are extracted one by one to make best use of the information contained in the training samples. Experiments on synthetic and benchmark datasets verify the usefulness of our framework. ©2007 IEEE.

关键词： Regression analysis

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Attention Markets of Blockchain-Based Decentralized Autonomous Organizations

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1370-1380页

作者： Juanjuan Li Rui Qin Sangtian Guan Wenwen Ding Fei Lin Fei-Yue Wang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’***,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is ***,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as *** equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention ***,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is ***,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different *** study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.

关键词： Attention decentralized autonomous organizations Harberger tax Stackelberg game.

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On delay-dependent stability of neutral time-delay systems 9

On delay-dependent stability of neutral time-delay systems

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2007 9th European Control Conference, ECC 2007

作者： Sun, Jian Liu, G.P. Lab of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China Faculty of Advanced Technology University of Glamorgan PontypriddCF37 1DL United Kingdom Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China NCS Lab Central South University China

ISBN: (纸本)9783952417386

This paper is concerned with the problem of stability of neutral time-delay systems. On the basis of Lyapunov-Krasovskii approach, a new delay-dependent stability condition is firstly obtained in terms of linear matrix inequality (LMI) using the free-weighting matrices method. Following the method of discretization of the delay, much less conservative stability conditions are secondly derived. In addition, the obtained results are further extended to neutral time-delay systems with either norm-bounded uncertainties or polytopic uncertainties. Finally, numerical examples illustrate that the proposed conditions are effective and less conservative than the existing results. © 2007 EUCA.

关键词： Linear matrix inequalities

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Heterogeneous Image Knowledge Driven Visual Perception

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 255-257页

作者： Lan Yan Wenbo Zheng Fei-Yue Wang IEEE the College of Computer Science and Electronic Engineering Hunan UniversityChangsha 410082China the School of Computer Science and Artificial Intelligence Wuhan University of TechnologyWuhan 430070China the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Dear Editor,This letter is concerned with visual perception closely related to heterogeneous *** the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous image knowledge,i.e.,the domain knowledge associated with specific vision tasks,to better address the corresponding visual perception problems.

关键词： Visual visual knowledge

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Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study

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Journal of Safety science and Resilience 2021年第3期2卷 146-156页

作者： Yunrong Yang Zhidong Cao Pengfei Zhao Dajun Daniel Zeng Qingpeng Zhang Yin Luo The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China Shenzhen Artificial Intelligence and Data Science Institute(Longhua) ShenzhenChina School of Data Science City University of Hong Kong-Hong Kong SARChina

The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of *** unstructured COVID-19 publications make it challenging for policymakers to obtain relevant *** graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making ***,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling *** screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment *** define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the *** the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 ***,we seek to apply our KG to support evidence querying and evidence mapping *** SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution *** has also shown high performance in the relation identification *** evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and *** evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 *** demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.

关键词： Evidence-based public health Knowledge graph COVID-19 Decision-making support

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Physical pictures and performance analysis of wireless power transfer via evanescent fields

Physical pictures and performance analysis of wireless power...

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International Conference on Electrical and Control Engineering, ICECE 2010

作者： Zhang, Hongyan Yao, Yanping Geng, Zheng Fan, Qiongjian Key Laboratory of Complex Systems and Intelligence Science Institute of Automation CAS Beijing 100190 China School of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

ISBN: (纸本)9780769540313

We present herein for the first time the physical pictures of wireless power transfer via evanescent fields. Our results show that the evanescent fields store energy in a localized domain and can exchange energy between two modes through evanescent waves. We also show that the energy transfer efficiencies can be greatly improved when long-tailed slowly-evanescent fields are adopted. We investigated the energy transfer efficiency and performance of wireless power transfer systems in detail and established their relationship with respect to the coupling strength and the output load parameters. Our theoretical analysis and computer simulations show that the work, radiation and absorption efficiencies are monotone functions of the coupling strength for a given output load parameter and there exists a global optimal output load configuration and a global optimal transfer rate for a fixed coupling strength parameter. The effectiveness, robustness and safety of this class of systems are also verified via the derivation of asymptotic behaviors of the optimum solutions. © 2010 IEEE.

关键词： Evanescent fields

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An investigation on ATS from the perspective of complex systems

An investigation on ATS from the perspective of complex syst...

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11th International IEEE Conference on Intelligent Transportation systems, ITSC 2008

作者： Li, Jinyuan Tang, Shuming Wang, Fei-Yuc Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electronic Engineering Tsinghua University Beijing 100084 China Lab of Complex Adaptive Systems for Transportation Institute of Automation Chinese Academy of Sciences Beijing 100190 China Shandong University of Science and Technology Qingdao 266510 China Institute of Automation Shandong Academy of Sciences Jinan 250014 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China University of Arizona Tucson 85721 United States

ISBN: (纸本)9781424421121

Artificial transportation systems (ATS) has been related to the study of complex systems and traffic simulation since its birth. Its relationship with complex systems and its connections, as well as differences from traditional traffic simulation systems pose an interesting problem. In this paper, according to two hypotheses about complex systems, we inferred three principles: synthesis, experimentation, and constant experimentation. We explored ATS from the perspective of complex systems, along with a diagram depicting the relationship between ATS-related concepts and methods. We then used the reasoning behind deploying agent-based modeling to explain why the principle of simple objects and relationships can be effective in ATS. We examined these principles from a complex adaptive systems perspective. Finally, essential differences between ATS and traditional traffic simulation systems are reported. © 2008 IEEE.

关键词： Computational methods

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Support Vector Machines (SVM) for color image segmentation with applications to mobile robot localization problems

Support Vector Machines (SVM) for color image segmentation w...

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International Conference on Intelligent Computing, ICIC 2005

作者： Zou, An-Min Hou, Zeng-Guang Tan, Min Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China

In autonomous mobile robot industry, the landmark-based localization method is widely used in which the landmark recognition plays an important role. The landmark recognition using visual sensors relies heavily on the quality of the image segmentation. In this paper, we use seat numbers as the landmarks, and it is of great importance to the seat number recognition that correctly segment the number regions from images. To perform this assignment, the support vector machine method is adopted to solve the color image segmentation problems because of its good generalization ability. The proposed method has been used for the mobile robot localization problems, and experimental results show that the proposed method can bring robust performance in practice. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Mobile robots

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On Empirical Mode Decomposition and its application to overcomplete blind source separation problems

On Empirical Mode Decomposition and its application to overc...

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SICE Annual Conference 2005

作者： Fu, Si-Yao Hou, Zeng-Guang Tan, Min Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China

This paper presents a new approach that aims to solve a kind of the blind source separation problem in which the number of observed mixtures is less than the unknown source signals, the so called overcomplete problem. The theoretical background is the Empirical Mode Decomposition (Huang et al 1998), an emerging new technique of signal processing. This method adaptively decomposes a nonlinear signal into a series of individual components, so that the linear sum of these components can approximate the original signal. Experimental studies on signal detection and separation are presented and compared with the traditional independent component analysis method. The results show that the EMD approach has many advantages over those based on the traditional method when dealing with overcomplete BSS problem. Our results show that the EMD approach for BSS problem is worthy for further exploration. © 2005 SICE.

关键词： Blind source separation

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