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IEEE Symposium on Intelligent Vehicle

作者： Fei-Yue Wang Xiaojing Wang Li Li P. Mirchandani Zhixue Wang The Key Laboratory for Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China University of Arizona Tucson Tucson AZ USA The National Center for Intelligent Transportation Systems and Engineering Beijing China

This paper presents the state of the art of intelligent transport system (ITS) research in China, particularly the facilities and the proving ground for testing automated vehicles.

关键词： Land vehicles Road vehicles Automobiles Intelligent transportation systems Testing Automation Intelligent systems Intelligent vehicles Automotive engineering systems engineering and theory

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An integrated design framework for driver/passenger-oriented trajectory planning

An integrated design framework for driver/passenger-oriented...

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International Conference on Intelligent Transportation

作者： L. Li F.-Y. Wang Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China Department of System and Industrial Engineering University of Arizona Tucson Tucson AZ USA

This paper presents an integrated trajectory planning framework for the front wheel steering vehicles that are equipped with digital map systems. It first addresses the importance of the driver and the passengers' requirement for automatic driving. After introducing the concept of optimal driver/passenger-oriented driving performance, several driving performance indices are introduced as following in order to provide a measurement of the automatic driving process. Based on these indices, the whole optimal trajectory planning problem is divided into two incorporated sub problems: the longitudinal trajectory planning problem and the lateral steering trajectory generation problem. Since the driving performance indices are primarily determined by the longitudinal driving procedure of the vehicle, the desired optimal longitudinal trajectory is formulated first. With the obtained velocity setting of the longitudinal trajectory planning problem, the lateral steering trajectory generation problem is solved based on cell mapping method then.

关键词： Trajectory Vehicle driving Road vehicles Road transportation Path planning Wheels Intelligent vehicles Tracking Automotive engineering systems engineering and theory

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Deployment of digital vehicle/highway technology for safety enhancement

Deployment of digital vehicle/highway technology for safety ...

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IEEE Symposium on Intelligent Vehicle

作者： Fei-Yue Wang Guanpi Lai P. Mirchandani The Key Laboratory for Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China University of Arizona Tucson Tucson AZ USA Institute of Automation Chinese Academy and Sciences Beijing China Advanced Traflic and Logistics Algorithms and Systems Research Center University of Arizona Tucson Tucson AZ USA

Although currently seatbelts and airbags are world widely used, there are still more than 40,000 people killed annually in traffic accidents. Referred to David Breed's "Road to Zero Fatalities" (RtZF/spl reg/) concept, this paper mainly discusses how to develop and deploy a safety warning system using high precision digital road maps and a combination of various vehicle status sensory techniques, without or with a minimum requirement of additional road infrastructures. This system will help to avoid accidents and enhance safety by warning drivers of possible hazardous situations in advance.

关键词： Vehicle safety Road safety Road vehicles Road transportation Road accidents Vehicle driving Alarm systems Laboratories Intelligent systems Automation

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On the dynamics in a transitional boundary layer

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Communications in Nonlinear science and Numerical Simulation 2001年第3期6卷 111-171页

作者： C. B. LEE and R. LEE Department of Mechanics and Engineering science/State key laboratory for Studies of Turbulence and complex systems, Peking University, Beijing 100871, China Department of Engineering Mechanics, Tsinghua University, Beijing 100084, Chi Department of Mechanics and Engineering Science / State Key Laboratory for Studies of Turbulence and Complex Systems Peking University Beijing 100871 China Department of Engineering Mechanics Tsinghua University Beijing 100084 China

A model is presented to describe the dynamic physical processes that occur in a transitional boundary layer flow. The CS-solitons, the closed vortex, the secondary closed vortex and the chain of ring-like vortices are postulated to be the basic flow structures of the transitional boundary layer as well as the turbulent boundary layer. It is argued that the central features of transitional and developed turbulent boundary layer flows can be explained in terms of how the series vortices interact with each other, and with the CS-solitons. The physical process that leads to the regeneration of the new closed vortex along the border of the CS-soliton, as well as the processes of evolution of the vortices to high frequency vortices, is described. The model is supported by the important developments in a number of "kernel" experiments, which illustrate both transitional and developed turbulent boundary layer. An important aspect of the model is that it has been formulated to be consistent with accepted rational mechanics concepts that are known to provide a proper physical description of other flows.

关键词： boundary layer transition dynamic processes onset of turbulence

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Multi-scaling hierarchical structure analysis on the sequence of *** complete genome

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Chinese science Bulletin 2001年第23期46卷 1988-1992页

作者： WANG Jin ZHANG Qidong REN Kui SHE Zhensu State Key Laboratory of Pharmaceutical Biotechnology School of Life ScienceNanjing UniversityNanjing 210093China State Key Laboratory for Studies of Turbulence and Complex Systems Department of Mechanics and Engineering SciencePeking UniversityBeijing 100871China Department of Geophysics Peking UniversityBeijing 100871China

We have applied the newly developed hierarchical structure theory for complex systems to analyze the multi-scaling structures of the nucleotide density distribution along a linear DNA sequence from the complete Escherichia coli genome. The hierarchical symmetry in the nucleotide density distribution was demonstrated. In particular, we have shown that the G, C density distribution that represents a strong H-bonding between the two DNA chains is more coherent with smaller similarity parameter compared to that of A, T density distribution, indicating a better organized multi-scaling fluctuation field for G, C density distributionalong the genome sequence. The biological significance of these findings is under investigation.

关键词： complexity hierarchical structure genome nucleotide Escherichia coli.

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Preface

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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2000年 1803卷 6-6页

作者： Cagnoni, Stefano Poli, Riccardo Li, Yun Smith, George Corne, David Oates, Martin Hart, Emma Lanzi, Pier Luca Boers, Egbert J. W. Paechter, Ben Fogarty, Terence C. University of Parma Department of Computer Engineering Parco delle Scienze 181/a Parma Italy The University of Birmingham School of Computer Science Edgbaston Birmingham United Kingdom University of Glasgow Electronics and Electrical Engineering Rankine Building Glasgow United Kingdom University of East Anglia Department of Information Systems Norwich United Kingdom University of Reading P.O. Box 225 Whiteknights Reading United Kingdom BT Labs at Adastral Park Dept. Complex Systems Laboratory Martlesham Heath Suffolk United Kingdom University of Edinburgh Division of Informatics 80 South Bridge Edinburgh United Kingdom Milan Polytechnic Department of Electronics and Informatics Piazza Leonard0 da Vinci 32 Milan Italy National Aerospace Laboratory NLR Data and Knowledge Systems Dept I.C.T. Division Anthony Fokkerweg 2 Amsterdam Netherlands Napier University School of Computing 219 Colinton Road Edinburgh United Kingdom South Bank University School of Computing Information Systems and Mathematics 103 Borough Road London United Kingdom

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A Survey of Knowledge Enhanced Pre-trained Language Models

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ACM Transactions on Asian and Low-Resource Language Information Processing 1000年

作者： Jian Yang Xinyu Hu Gang Xiao Yulong Shen Computer Science and Technology Xidian University Xi’an China National Key Laboratory for Complex Systems Simulation Beijing China

Pre-trained language models learn informative word representations on a large-scale text corpus through self-supervised learning, which has achieved promising performance in fields of natural language processing (NLP) after fine-tuning. These models, however, suffer from poor robustness and lack of interpretability. We refer to pre-trained language models with knowledge injection as knowledge-enhanced pre-trained language models (KEPLMs). These models demonstrate deep understanding and logical reasoning and introduce interpretability. In this survey, we provide a comprehensive overview of KEPLMs in NLP. We first discuss the advancements in pre-trained language models and knowledge representation learning. Then we systematically categorize existing KEPLMs from three different perspectives. Finally, we outline some potential directions of KEPLMs for future research.

关键词： natural language processing pre-trained language models symbolic knowledge knowledge enhanced pre-trained language models

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Neural Information Processing 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Minho Lee Akira Hirose Zeng-Guang Hou Rhee Man Kil

ISBN: (数字)9783642420511

ISBN: (纸本)9783642420504

The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

关键词： Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computation by Abstract Devices data Mining and Knowledge Discovery

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Neural Information Processing 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Minho Lee Akira Hirose Zeng-Guang Hou Rhee Man Kil

ISBN: (数字)9783642420429

ISBN: (纸本)9783642420412

The three volume set LNCS 8226, LNCS 8227 and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

关键词： Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computation by Abstract Devices data Mining and Knowledge Discovery

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Advances in Neural Networks – ISNN 2011 1

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丛书名： Lecture Notes in Computer science

1000年

作者： Derong Liu Huaguang Zhang Marios Polycarpou Cesare Alippi Haibo He

ISBN: (数字)9783642211058

ISBN: (纸本)9783642211041

The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

关键词： Computation by Abstract Devices Computer Communication Networks Algorithm Analysis and Problem complexity Discrete Mathematics in Computer science Artificial Intelligence Pattern Recognition

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