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2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Zhao, Yihan Duan, Xuting Zhou, Jianshan Zhang, Long School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Zhongguancun Laboratory Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Beijing China

ISBN: (纸本)9798350316308

Vehicle platoon is one of the concrete manifestations of multi-vehicle cooperative control and intelligent transportation. However, the velocity perturbation in the driving process will bring about stability and safety problems. The connected autonomous vehicles (CAVs) can obtain the motion status of the lead vehicle in real time and respond to it in time, which is of far-reaching significance to platoon control. Based on this, this paper focuses on the longitudinal driving strategy of connected autonomous vehicle platoons. Specifically, we provide a discrete double-integral model controller for each vehicle in a generic scenario, and the controller performs acceleration and deceleration control at each timeslot according to the state of the vehicle in front and its own state. Simulation experiments are designed by varying the size of the platoon and the number of connected autonomous vehicles. The experimental results show that the introduction of connected autonomous vehicles can effectively suppress the platoon velocity perturbation, increase the stability of the platoon driving, and significantly reduce the fuel consumption at the same time. © 2023 IEEE.

关键词： Autonomous vehicles

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Structure, spin reorientation and M(o)ssbauer effect studies of Tb0.3Dy0.7(Fe1-xAlx)1.95 alloys

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中国科学G辑（英文版） 2006年第2期49卷 149-157页

作者： ZHENG Xiaoping ZHANG Peifeng FAN Duowang LI Fashen HAO Yuan Key Laboratory of Opto-Electronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou 730070 China Institute of Electronic Information Science and Technology Lanzhou Teachers College Lanzhou 730070 China State Key Lab. of Advanced Non-Ferrous Materials Gansu Province Lanzhou University of Technology Lanzhou 730050 China Key Laboratory of Opto-Electronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou 730070 China Key laboratory for Magnetism and Magnetic Materials Ministry of Education Lanzhou University Lanzhou 730000 China Key Laboratory of Opto-Electronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Lanzhou 730070 China Key laboratory for Magnetism and Magnetic Materials Ministry of Education Lanzhou University Lanzhou 730000 China State Key Lab. of Advanced Non-Ferrous Materials Gansu Province Lanzhou University of Technology Lanzhou 730050 China

The effect of Al substitution for Fe on crystal structure, magnetostriction and spontaneous magnetostriction, anisotropy and spin reorientation of a series of polycrystalline Tb0.3Dy0.7(Fe1-xAlx)1.95 alloys (x = 0, 0.05, 0.1, 0.15, 0.20, 0.25, 0.30, 0.35) at room temperature and 77 K was investigated systematically. It was found that the primary phase of Tb0.3Dy0.7(Fe1-xAlx)1.95 is the MgCu2-type cubic Laves phase structure when x < 0.4 and the lattice constant a of Tb0.3Dy0.7(Fe1-xAlx)1.95 increases approximately and monotonically with the increase of x. The substitution of Al leads to the fact that the magnetostriction ( inceases slightly in a low magnetic field (H ≤ 40 kA/m), but decreases sharply and is easily close to saturation in a high applied field as x increases, showing that a small amount of Al substitution is beneficial to a decrease in the magnetocrystalline anisotropy. It was also found that the spontaneous magnetostriction (ζ)111 decreases greatly with x increasing. The analysis of the M(o)ssbauer spectra indicated that the easy magnetization direction in the {110} plane deviates slightly from the main axis of symmetry with the changes of composition and temperature, namely spin reorientation. A small amount of non-magnetic phase exists for x = 0.15 in Tb0.3Dy0.7(Fe1-xAlx)1.95 alloys and the alloys become paramagnetic for x > 0.15 at room temperture, but at 77 K the alloys still remain magnetic phase even for x = 0.2. At room temperature and 77 K, the hyperfine field decreases and the isomer shifts increase with Al concentration increasing.

关键词： magnetostriction cubic Laves phase spin reorientation M(o)ssbauer

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Optimal on-line walking pattern generation for biped robots

Optimal on-line walking pattern generation for biped robots

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International Conference on Networking and Distributed Computing

作者： Chen, Hao Pan, Shuwen Xiong, Rong Wu, Jun State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Institute of Cyber-Systems and Control Yuquan Campus Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9780769542072

A new 2D walking pattern generation method is proposed for biped robots in this paper. The key feature of the proposed method is to obtain an optimal walking pattern on-line with the largest stability in the sense of zero moment point (ZMP) subject to the constraints of torque and velocity of the joint actuators. With the aids of a 3-link dynamic model of the robot legs and third-order spline interpolation, the hip and foot trajectories of biped robots are generated and the analytical objective function of ZMP as well as constraints of joint torques and angular velocities are obtained in terms of a parameter set. A nonlinear optimization procedure is then applied to obtain the optimal parameter set for the generation of walking pattern. An illustrative example is provided to demonstrate the merits of the proposed method. © 2010 IEEE.

关键词： Dynamic models

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Empirical study on rare query characteristics

Empirical study on rare query characteristics

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2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

作者： Yao, Ting Zhang, Min Liu, Yiqun Ma, Shaoping Ru, Liyun State Key Lab. of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Dept. of Computer Science and Technology Beijing 100084 China

ISBN: (纸本)9780769545134

User behavior analysis has played an important role in Web information retrieval. Rare queries, whose frequencies are rather low, are usually ignored in existing studies due to the data sparseness. Little has been known about the mass of rare queries on either the information need or the user behavior. In this paper, we make an empirical study of users' behavior on rare queries using a large scale search log. Features concerning query, resource and post-query actions are analyzed, based on which we propose a practical categorization framework and obtain an overview of rare query composition. Further, we study the characteristics of several most commonly occurring types of rare queries, and suggest improving the search performance of them separately. This work gives more insights into understanding the long tail of queries and will be helpful for Web search in terms of rare queries. © 2011 IEEE.

关键词： Behavioral research

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Modeling relation paths for representation learning of knowledge bases

Modeling relation paths for representation learning of knowl...

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Conference on Empirical Methods in Natural Language Processing, EMNLP 2015

作者： Lin, Yankai Liu, Zhiyuan Luan, Huanbo Sun, Maosong Rao, Siwei Liu, Song Department of Computer Science and Technology State Key Lab. on Intelligent Technology and Systems National Lab. for Information Science and Technology Tsinghua University Beijing China Samsung R and D Institute of China Beijing China

ISBN: (纸本)9781941643327

Representation learning of knowledge bases aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning. We argue that multiple-step relation paths also contain rich inference patterns between entities, and propose a path-based representation learning model. This model considers relation paths as translations between entities for representation learning, and addresses two key challenges: (1) Since not all relation paths are reliable, we design a path-constraint resource allocation algorithm to measure the reliability of relation paths. (2) We represent relation paths via semantic composition of relation embeddings. Experimental results on real-world datasets show that, as compared with baselines, our model achieves significant and consistent improvements on knowledge base completion and relation extraction from text. The source code of this paper can be obtained from https://***/mrlyk423/relation-extraction. © 2015 Association for Computational Linguistics.

关键词： Knowledge based systems

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Online joint pricing and booking policies in airline revenue management

Online joint pricing and booking policies in airline revenue...

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6th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2012

作者： Ni, Guanqun Xu, Yinfeng School of Management Xi'an Jiaotong University Xi'an 710049 China State Key Lab. for Manufacturing Systems Engineering Xi'an 710049 China Ministry of Education Key Lab. for Process Control and Efficiency Engineering Xi'an 710049 China

ISBN: (纸本)9783642317699

We introduce a model considering the single-leg revenue management problem from the perspective of online algorithms and competitive analysis. In this model, the price and limitation of bookings are both decision variables. Assuming the process of the customers meets the low-before-high manner and the expected value of customer falls in a closed interval, we analyze the upper bound for deterministic online joint pricing and booking policy and propose one optimal policy for each case. © 2012 Springer-Verlag.

关键词： Economics

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Data model driven architecture (DMDA)

Data model driven architecture (DMDA)

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Chen Chen, Xueguang Liu, Hong Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612843735

Based on the current development of Model Driven Architecture (MDA) in Enterprise Information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose. © 2011 IEEE.

关键词： Software design

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Trajectory Planning for Autonomous Overtaking on Curved Roads with Avoidance of Human Driving Vehicles and Static Obstacles

Trajectory Planning for Autonomous Overtaking on Curved Road...

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2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Shao, Chen Duan, Xuting Zhou, Jianshan Zhao, Dezong School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Zhongguancun Laboratory Beijing China James Watt School of Engineering University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9798350316308

A proposed obstacle avoidance trajectory planning method for autonomous vehicles considers social behavior characteristics to address the interaction problem with human drivers in mixed traffic environments. The method integrates graph theory and centrality functions to classify and predict driver behavior, employing model predictive control (MPC) to plan the autonomous vehicle's trajectory. By combining these social behaviors, the method ensures safe completion of the driving task based on probability. Experimental results from an interactive obstacle avoidance scenario in a curved environment confirm the successful completion of the task, validating the proposed method's feasibility and effectiveness, supporting its potential for real-world application. © 2023 IEEE.

关键词： Model predictive control

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GAKE: Graph aware knowledge embedding 26

GAKE: Graph aware knowledge embedding

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26th International Conference on Computational Linguistics, COLING 2016

作者： Feng, Jun Huang, Minlie Yang, Yang Zhu, Xiaoyan State Key Lab. on Intelligent Technology and Systems Tsinghua National Lab. for Information Science and Technology Dept. of Computer Science and Technology Tsinghua University China College of Computer Science and Technology Zhejiang University China

ISBN: (纸本)9784879747020

Knowledge embedding, which projects triples in a given knowledge base to d-dimensional vectors, has attracted considerable research efforts recently. Most existing approaches treat the given knowledge base as a set of triplets, each of whose representation is then learned separately. However, as a fact, triples are connected and depend on each other. In this paper, we propose a graph aware knowledge embedding method (GAKE), which formulates knowledge base as a directed graph, and learns representations for any vertices or edges by leveraging the graph's structural information. We introduce three types of graph context for embedding: neighbor context, path context, and edge context, each reflects properties of knowledge from different perspectives. We also design an attention mechanism to learn representative power of different vertices or edges. To validate our method, we conduct several experiments on two tasks. Experimental results suggest that our method outperforms several state-of-art knowledge embedding models. © 1963-2018 ACL.

关键词： Directed graphs

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Gene selection via matrix factorization

Gene selection via matrix factorization

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Wang, Fei Li, Tao State Key Lab. of Intelligent Technologies and Systems Department of Automation Tsinghua University School of Computer Science Florida International University Miami FL 33199 United States

ISBN: (纸本)1424415098

The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis, each sample is represented by quite a large number of genes, and many of them are redundant or insignificant to clarify the disease problem. Therefore, how to efficiently select the most useful genes has been becoming one of the most hot research topics in the gene expression data analysis. In this paper, a novel unsupervised gene selection method is proposed based on matrix factorization, such that the original gene matrix can be optimally reconstructed using those selected genes. To make our algorithm more efficient, we derive a kmeans preclustering approach to accelerate our algorithm. Finally the experimental results on several data sets are presented to show the effectiveness of our method. ©2007 IEEE.

关键词： Gene expression

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