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A Novel DAO-Based Parallel Enterprise management Framework in Web3 Era

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL systems 2024年第1期11卷 839-848页

作者： Wang, Ge Qin, Rui Li, Juanjuan Wang, Fei-Yue Gan, Yu Yan, Lihua Macau Univ Sci & Technol Macao Inst Syst Engn Macau 999078 Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 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 Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Qingdao Huituo Waytous Intelligent Robot Co Ltd Qingdao 266114 Peoples R China

This article proposes a novel parallel management mode based on decentralized autonomous organizations (DAOs) for enterprises by utilizing the artificial systems, computational experiments, parallel execution (ACP) approach, parallel intelligence theory, and blockchain technologies, to realize the distributed management of an enterprise. The artificial enterprise DAO (EnDAO) corresponding to the actual enterprise is constructed, and they constitute a parallel system via virtual-real interaction and parallel execution. Through the non-fungible token (NFT)-based incentive mechanism, metaverse-based virtual learning and training, as well as DAO-based distributed management and decision-making, the management and control of the actual enterprise as well as its employees can be carried out. By virtue of the virtual-real interactions of three types of employees, as well as the virtual-real feedback of three closed loops in the parallel systems, DAO-based parallel management for enterprises can realize descriptive intelligence, predictive intelligence, and prescriptive intelligence. On this basis, this article takes the recruitment-oriented key performance indicator (KPI) management of a startup technology enterprise as the case to introduce the operation processes and illustrate the superiorities of the proposed DAO-based enterprise parallel management mode.

关键词： Blockchain decentralized autonomous organizations (DAOs) metaverse parallel intelligence parallel management

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Data-based control, optimization, modeling and applications

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NEURAL COMPUTING & APPLICATIONS 2013年第7-8期23卷 1839-1842页

作者： Zhao, Dongbin Shen, Yi Wang, Zhanshan Hu, Xiaolin Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Minist Educ Image Proc & Intelligent Cont Wuhan 430074 Peoples R China Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Peoples R China Tsinghua Univ Dept Comp Sci & Technol State Key Lab Intelligent Technol & Syst Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

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Scenarios Engineering for Trustworthy AI: Domain Adaptation Approach for Reidentification With Synthetic Data

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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2024年第11期54卷 6901-6910页

作者： Li, Xuan Wang, Xiao Deng, Fang Wang, Fei-Yue Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Peng Cheng Lab Dept Strateg & Intersecting Frontiers Shenzhen 518000 Peoples R China Anhui Univ Sch Artificial Intelligence Hefei 230031 Peoples R China Beijing Inst Technol Key Lab Intelligent Control & Decis Complex Syst Beijing 100081 Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China

Reidentification (Re-ID) is a crucial computer vision application with a variety of potential uses in many maritime scenarios, including search, rescue, and surveillance. However, the development of advanced boat reidentification (Boat Re-ID) algorithms necessitates the availability of large-scale Re-ID datasets for model training and evaluation. Inspired by scenarios engineering, this study proposes a new framework for automatically generating a realistic synthetic dataset for boat Re-ID investigation. The synthetic dataset contains 107 boat models and various visual conditions in 36 real backgrounds. The use of synthetic datasets enables the learning-based Re-ID algorithm's performance to be quantitatively verificated under varying imaging conditions. Nonetheless, our experiments prove that synthetic datasets are inadequate to handle real-world challenges. Therefore, we present a domain adaptation approach that integrates both real and synthetic data to create trustworthy models. This approach employs a multistep training strategy, gradient reversal layer and novel loss functions to preserve the features from two distribution dataset domains. The results of the experiments demonstrate that 1) synthetic datasets can be employed to train boat Re-ID algorithms and quantitatively test the performance of these algorithms under diverse imaging conditions and 2) our approach utilizes the attributes of the two data domains (real and synthetic) to achieve exceptional performance in real-world applications.

关键词： Boats Synthetic data Training labeling Deep learning Feature extraction Data models Boat reidentification (Boat Re-ID) domain adaptation (DA) scenarios engineering (SE) synthetic dataset unmanned aerial vehicles (UAVs)

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An Erlang-based Simulation Approach of Artificial Transportation systems 19

An Erlang-based Simulation Approach of Artificial Transporta...

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19th IEEE International Conference on intelligent Transportation systems (ITSC)

作者： Chen, Songhang Zhu, Fenghua Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China

ISBN: (纸本)9781509018895

Artificial Transportation systems (ATS) can support a variety of computational experiments for different purposes, and have become important tools for transportation research. However, when the road network modeled in ATS is large or there are a lot of vehicles, ATS will run very slow or even cannot be started due to the memory limit of a standalone computer. With the acceleration of urbanization process and rapid increase of car ownership, it is necessary to find a high-performance computing method for running large-scale ATS. Therefore, the paper presents an Erlang-based approach to realize concurrent and distributed computing of ATS. To verify the feasibility, a prototype is built, and a performance test is conducted. The results show the method can achieve the efficiency utilization of computing resources.

关键词： Distributed computer systems

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Analyse Social Influence on Student Motivation based on Social Activity Network

Analyse Social Influence on Student Motivation based on Soci...

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IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Zeng, Shuai Zhang, Jie Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266000 Shandong Peoples R China

ISBN: (纸本)9781509029273

Student motivation is one of the most important individual characters for explaining student performance in class. Existing researches show that it can be affected largely by social-contextual factors. Rather than focusing on social relationship, in this paper we construct social activity networks for analyzing the impact of collective behaviors on student motivation. We conduct field experiments to compare social activity networks with relationship networks by analyzing the structural characteristics. We also investigate the dynamic of social activities, and validate the effectiveness of social activity network in reflecting social influence on student motivation. Our results show that social activities are important factors affecting student motivation.

关键词： student motivation collective behaviour social network analysis online course

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INDReview on Facial Expression Analysis and its Application in Education

INDReview on Facial Expression Analysis and its Application ...

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Chinese Automation Congress (CAC)

作者： Li, Qiang Liu, Xiwei Gong, Xiaoyan Jing, Sifeng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Beijing Peoples R China Qingdao Acad Intelligent Ind Inst Smart Educ Syst Beijing Peoples R China

ISBN: (纸本)9781728140940

In recent years, with the rapid development of computer technology, facial expression recognition technology has gradually been applied to primary and secondary schools. This article first introduces the application of facial expression recognition in education. Then the development of facial expression recognition and the four basic processes of facial expressions are described. After that, the methods and algorithms used in face detection and localization of face expression recognition and classification are summarized, feature extraction and classification are summarized. Finally, the current application of facial expression recognition technology in education and the existing problems and future development are pointed out.

关键词： Facial expression recognition smart educational enviornment emoticon coding face detection and localization feature extraction expression classification

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Compact visual control system for aligning and tracking narrow butt seams with CO₂ gas-shielded arc welding

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2012年第9-12期62卷 1157-1167页

作者： Xu, De Fang, Zaojun Chen, Haiyong Yan, Zhiguo Tan, Min Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Hebei Univ Technol Dept Automat Tianjin 300130 Peoples R China Dongfang Elect Corp R&D Ctr Intelligent Equipment & Control Technol Inst Chengdu 611731 Peoples R China

In this paper, a visual control system is proposed to locate the start welding position and track the narrow butt welding seam in container manufacturing. It estimates the error between the welding torch and the welding seam with a camera and a panel computer. It adjusts the torch's position via a stepper motor to eliminate the error. A decision controller with three gates is designed to decide the working procedure. Feature extraction algorithms are designed according to the seams and pre-weld spots. The seam line and the position of the pre-weld spot are detected to locate the start welding position in initial aligning. Then the torch is aligned to the seam. In the welding stage, the reference feature is determined with many frames of images based on their statistical property. The current estimated feature is checked to ensure only normal features to be used for welding seam tracking. Experiments are well conducted to verify the effectiveness of the proposed system and methods.

关键词： Feature extraction Image feature statistics Start welding position Visual control Vision system Aligning Seam tracking Gas-shielded arc welding Container manufacturing

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Analysis of neural interaction during adaptation of reach-to-grasp task under perturbation with Bayesian networks

Analysis of neural interaction during adaptation of reach-to...

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2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

作者： Sang, Dong Lv, Bin He, Huiguang Wang, Feiyue He, Jiping State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Harrington Departemnt of Bioengineering Center for Neural Interface Design Arizona State University Tempe United States

ISBN: (纸本)9781424493524

In this work, we took the analysis of neural interactions change in M1 of a monkey during the adaptation process for it to complete reach-to-grasp tasks with external perturbation across days. BN model was applied to model and evaluate neural interaction networks from recorded neural spike trains data of each set. Our results showed that for delay period across sets, interaction level of neural network tended to be higher during later stage of adaptation than during begin stage, which indicated the monkey performed more fully preparation through adaptation. In addition, for both delay period and peri-movement period, the neural interaction networks tended to change more stably from one set to the next as the monkey adapted to the perturbation experiment better. © 2011 IEEE.

关键词： Bayesian networks

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A social choice force model for estimating collective action manipulation 19

A social choice force model for estimating collective action...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Zhang, Jie Zeng, Shuai Liu, Wenli Wang, Tao Wang, Fei-Yue Chen, C.L. Philip State Key Lab. of Management and Control for Complex Systems CASIA Beijing100190 China National University of Defense Technology Hunan410073 China University of Macau China

ISBN: (纸本)9783902823625

For e-commerce websites collective actions have significant influence on the behaviors and decisions of individual customers. In this work, we propose a dynamic utility model for customers in e-commerce by considering a "social choice force" (SCF) effect on utility functions of agents. We apply the Artificial societies, Computational experiments, and Parallel execution (ACP) approach to investigate the short-term efforts of collective action manipulation. Experimental results show that the proposed agent model and algorithm outperform the baseline prediction algorithm and illustrate the effect of collective action manipulation in a group buying directory website. © IFAC.

关键词： Software agents

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sEMG-based single-joint active training with iLeg—A horizontal exoskeleton for lower limb rehabilitation

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Lecture Notes in Computer Science

作者： Hu, Jin Hou, Zeng-Guang Peng, Liang Peng, Long Gu, Nong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Centre for Intelligent Systems Research Deakin University 75 Pigdons Road Waurn PondsVIC3216 Australia

ISBN: (纸本)9783319126425

In this paper, surface electromyography (sEMG) from muscles of the lower limb is acquired and processed to estimate the singlejoint voluntary motion intention, based on which, two single-joint active training strategies are proposed with iLeg, a horizontal exoskeleton for lower limb rehabilitation newly developed at our laboratory. In damping active training, the joint angular velocity is proportionally controlled by the voluntary effort derived from sEMG, performing as an ideal damper, while spring active training aims to create a spring-like environment where the joint angular displacement from the constant reference is proportionally controlled by the voluntary effort. Experiments are conducted with iLeg and one healthy male subject to validate the feasibility of the two single-joint active training strategies. © Springer International Publishing Switzerland 2014.

关键词： Exoskeleton (Robotics)

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