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Multi-intelligent connected vehicle longitudinal collision avoidance control and exhaust emission evaluation based on parallel theory

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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2021年 150卷 259-268页

作者： Li, Kening Zhang, Ronghui Wang, Haiwei Yu, Fan Shenzhen Inst Informat Technol Sch Traff & Environm Shenzhen 518172 Peoples R China Sun Yat Sen Univ Sch Intelligent Syst Engn Guangdong Prov Key Lab Intelligent Transport Syst Guangzhou 510275 Peoples R China Guangdong Commun Polytech Sch Transportat & Econ Management Guangzhou 510650 Peoples R China Shanghai Jiao Tong Univ Sch Mech Engn State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China

With the increasing of vehicle volume and driving speed, traffic accidents and environmental safety have become social concerns. Vehicle traffic accidents, especially multi-vehicle chain accidents, cause damage to property and human lives. Meanwhile, traffic pollution will lead to continuous harm to living environment and health. This is a coupled human-vehicle-environment interaction system, which is difficult to model with traditional mathematical methods. parallel theory is an effective method to solve such complex problems based on advanced artificial intelligence and computer technology. In this paper, a parallel system is built to analyze and control multi-intelligent connected vehicle based on parallel theory. The parallel system is also used to analyze and assess the exhaust emission of multi-intelligent connected vehicle. The parallel system is carried out with three steps: 1) modeling and representation of multi-intelligent connected vehicle system using artificial societies;2) analysis and evaluation by computational experiments;3) control, management and exhaust emission evaluation through parallel execution of real and artificial systems and big data. The parallel control methods, models and conclusions obtained from this paper can be used to enhance the experience of safety in multi-vehicle control under vehicle to everything environment and make the safety intervention measures more efficient.& nbsp;(c) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

关键词： Traffic accidents Collision avoidance control Exhaust emission evaluation parallel theory Safety intervention

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ArtVerse: A Paradigm for parallel Human-Machine Collaborative Painting Creation in Metaverses

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023年第4期53卷 2200-2208页

作者： Guo, Chao Dou, Yong Bai, Tianxiang Dai, Xingyuan Wang, Chunfa Wen, Yi Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Macau Univ Sci & Technol Macao Inst Syst Engn Macau Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Natl Museum China Beijing 100006 Peoples R China Natl Museum China Inst Sci & Art Beijing 100006 Peoples R China

Currently, the development of the foundation model, metaverse, nonfungible token (NFT), and other emerging technologies has brought profound effects on the whole art field, including art creation, dissemination, transaction, etc. However, there is no research focusing on the framework, methodologies, and applications of the human-machine collaborative creation in the metaverse era. Based on parallel theory, this article proposes a novel human-machine collaborative creation paradigm called ArtVerse, in which machines take on the roles of humans to perform creation exploration and evolution and build decentralized art organizations. Besides, the operational processes involving several key technologies are designed to achieve the proposed ArtVerse. Then, a prototype system of ArtVerse, our long-term efforts toward the human-machine collaborative painting, is presented. Finally, a new ecology of artistic creation in the metaverse era is demonstrated through the applications of the ArtVerse.

关键词： Artificial intelligence (AI) art artificial intelligence generated content (AIGC) parallel theory co-creation cyber-physical-social system (CPSS) decentralized/distributed autonomous operations and organizations (DAOs) foundation model human-machine collaboration metaverse robotic painting

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The Vehicle Testing Based on Digital Twins theory for Autonomous Vehicles

IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION

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IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION 2022年 6卷 710-714页

作者： Meng, Zhangjie Zhao, Shulian Chen, Hua Hu, Mengxia Tang, Yichao Song, Yongxiong CAERI Intelligent & Connected Vehicle Technol Co L Forward Looking Technol Ctr Chongqing 401122 Peoples R China Tsinghua Univ Sch Vehicle & Mobil Beijing 100190 Peoples R China

Digital twins theory can provide an effective solution for the complex whole vehicle testing, which includes the dynamics and scenarios. The parallel system is the most advanced method for implementing parallel control theory. In this paper, it introduces the virtual systems established by digital modeling the autonomous driving vehicle and scenario, it introduces a connection between virtual system and the real system. There are two engineering applications based on digital twins and parallel intelligence to test the whole vehicle efficiently,its testing advantages and testing coverage.

关键词： Digital twins Digital twins Digital twins Digital twins parallel theory vehicle test con-nection con-nection con-nection con-nection modeling and simulation

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From AR to AI: Augmentation Technology for Intelligent Surgery and Medical Treatments 3rd

From AR to AI: Augmentation Technology for Intelligent Surge...

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3rd IFAC Workshop pn Cyber-Physical and Human Systems (CPHS)

作者： Zhang, Mei Zhang, Zhicheng Wang, Xiao Yu, Hui Xia, Yifan Tan, Kanran 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 Peoples R China Peoples Liberat Army Gen Hosp Dept Med Ctr 7 Beijing 100700 Peoples R China Univ Portsmouth Sch Creat Technol Portsmouth Hants England Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA

With the development of augmented reality (AR) technologies, more and more approaches are proposed for medical applications. With the help of AR technology, the doctor can highly improve the spatial perception and obtain more infounation beneath the displayed image. Generally, 3D reconstruction, registration, tracking and depth visualization are all important for an AR system, which directly deteunine the accuracy of the system. However, none of recent systems have achieved a perfect 3D vision for doctors. It is particularly challenging for the AR system to perform well for operation on highly defounable body tissues. Therefore, there is an urgent need to improve the 3D vision and intelligence of AR systems. In this paper, we provide a review of the recent development of augmentation technologies for surgery and medical treatment. And then, we introduce the parallel intelligence theory into AR systems, which can provide a feasible approach to enhance the efficiency. Copyright (C) 2020 The Authors.

关键词： Potential impact of automation and open problems Augmented reality Medical treatment parallel theory 3D technology

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Conditional visibility aware view synthesis via parallel light fields

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NEUROCOMPUTING 2024年 588卷

作者： Shen, Yu Li, Yuke Liu, Yuhang Wang, Yutong Chen, Long Wang, Fei-Yue Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Waytous Co Ltd Beijing 100083 Peoples R China Macau Univ Sci & Technol Macao Inst Syst Engn Macau 999078 Peoples R China Northwestern Polytech Univ Sch Software Xian 710072 Peoples R China

In the area of neural rendering -based novel view synthesis, illumination is important since shadows cast by objects under various light sources provide indications about their geometries and materials. However, due to high physical device complexity and simulation distortion, large-scale photorealistic multiple illumination multi -view datasets are difficult to obtain. In order to address this problem, a physical -virtual interactive parallel light fields based collection method is proposed in this paper. The physical part of parallel light fields is firstly used to capture 3D models and 2D images of objects under different lights. Then a Reakto-Sim adaptation module was proposed to enhance realism by estimating material characteristic. Instead of manually setting, the learned resulting material parameters are then utilized to initialize virtual engine blender for subsequent rendering and data collection. Besides, to better handle self -occlusion problem in the acquired parallel light fields dataset, a conditional visibility module is designed in modeling visibility of each sampling point along a sampling ray. Compared with the Neuray, by introducing Conditional Normalizing Flow, visibility are assumed as samples from some distribution due to the fact that visibilities along the ray should be monotonically decreasing and are within the range of [0 , 1] . The visibility are calculated in a data driven manner, which brings more flexibility. By pretraining the conditional visibility network in parallel light field dataset, experiments demonstrate that more photorealistic inputs improve Peak -Signal -Noise Ratio (PSNR) and Structure Similarity Index Measure (SSIM) by 0.11% and 0.68% in validation dataset NeRF synthesis and LLFF. Besides, compared to Neuray, the proposed conditional visibility module is more flexible and get a PSNR improvement of 0.55 and 0.5 in NeRF synthesis and LLFF dataset, respectively.

关键词： parallel theory Light fields Neural rendering View synthesis Conditional visibility Normalizing Flow

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Multiscale Theoretical Model of Thermal Conductivity of Concrete and the Mesoscale Simulation of Its Temperature Field

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JOURNAL OF MATERIALS IN CIVIL ENGINEERING 2023年第1期35卷

作者： Zhu, Jinsong Wang, Yanlei Xiao, Rucheng Yang, Junjie Tianjin Univ Sch Civil Engn Tianjin 300072 Peoples R China Tianjin Univ Key Lab Coast Civil Struct Safety Minist Educ Tianjin 300072 Peoples R China Tianjin Univ Sch Civil Engn Tianjin 300072 Peoples R China Tianjin Univ Sch Civil Engn Tianjin 300072 Peoples R China

Temperature field analysis is the precondition of studying the heat and mass transfer and durability of a concrete building;thermal conductivity is a key parameter that affects the distribution of the temperature field of concrete. Through reasonable assumptions and simplifications, the relationship between the micro-microscopic composition of concrete and its macroscopic thermal conductivity is established, and a multiscale theoretical model of thermal conductivity considering the influence of interface transition zone (ITZ) is proposed. The model can predict the thermal conductivities of concrete and its components at an arbitrary saturation. Subsequently, the influence of saturation, water-cement ratio, volume fraction and type of coarse aggregate, and sand ratio is researched. Moreover, according to the prediction results of the proposed model, a mesoscale simulation of the concrete temperature field is carried out. The results demonstrate that the presence of aggregate and ITZ leads to the isotherm deflection and abruption at the junction of the phases. Meanwhile, the heat flux density at the corners of the polygonal aggregate is significantly higher than at other positions;the phenomenon, first named the "corner effect" in the research, causes the temperature field distribution of concrete containing polygonal aggregates to be more uneven than that of circular and elliptical aggregates, and it is more likely to produce temperature-induced cracks. The research helps explain the influence mechanism of material components on the thermal conductivity of concrete and the distribution of its temperature field and provides a basis for the fine simulation of concrete thermal crack growth and creep at variable temperatures.

关键词： Thermal conductivity of concrete Multiscale model Maxwell theory parallel theory Temperature field simulation

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From AR to AI: Augmentation Technology for Intelligent Surgery and Medical Treatments

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IFAC-PapersOnLine 2020年第5期53卷 792-796页

作者： Mei Zhang Zhicheng Zhang Xiao Wang Hui Yu Yifan Xia Kanran Tan Fei-Yue Wang The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with the Qingdao Academy of Intelligent Industries Qingdao 266109 China The Department of the 7th Medical Center of PLA General Hospital Beijing 100700 China The Department of Computer Science Purdue University West Lafayette Indiana 47906 USA The School of Creative Technologies University of Portsmouth UK The Department of Computer Science Johns Hopkins University Baltimore Maryland USA

With the development of augmented reality (AR) technologies, more and more approaches are proposed for medical applications. With the help of AR technology, the doctor can highly improve the spatial perception and obtain more information beneath the displayed image. Generally, 3D reconstruction, registration, tracking and depth visualization are all important for an AR system, which directly determine the accuracy of the system. However, none of recent systems have achieved a perfect 3D vision for doctors. It is particularly challenging for the AR system to perform well for operation on highly deformable body tissues. Therefore, there is an urgent need to improve the 3D vision and intelligence of AR systems. In this paper, we provide a review of the recent development of augmentation technologies for surgery and medical treatment. And then, we introduce the parallel intelligence theory into AR systems, which can provide a feasible approach to enhance the efficiency.

关键词： Potential impact of automation open problems Augmented reality Medical treatment parallel theory 3D technology

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