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32nd Chinese control Conference (CCC)

作者： Wang Yu Wang Shuo Zhou Chao Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China

ISBN: (纸本)9781479900305

In this paper, an image capture and processing system based on PC104 and FPGA is designed. The communication between PC104 and FPGA is achieved by PC104-PLUS bus. The FPGA co-processor accomplishes the image capture of CMOS camera and image pretreatment. The PC104 controller, as an upper computer monitor, realizes feature point detection based on LSD line detector and Camshift target tracking algorithm based on the color. Based on the design of the image capture and processing system, the concrete implementation scheme of the image capture and processing system is proposed. And the practicability of our image capture and processing system is demonstrated by feature point detection of a color mark and target tracking algorithm.

关键词： Image capture and processing system Feature point detection Target tracking

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GPU based Non-dominated Sorting Genetic Algorithm-II for Multi-objective Traffic Light Signaling Optimization with Agent Based Modeling

GPU based Non-dominated Sorting Genetic Algorithm-II for Mul...

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16th International IEEE Conference on Intelligent Transportation systems (ITSC)

作者： Shen, Z. Wang, K. Wang, F. -Y. Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing 100190 Peoples R China NUDT Ctr Mil Computat Expt & Automat Changsha Hunan Peoples R China

ISBN: (纸本)9781479929146

Micro-simulation becomes more and more important in the Intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. For a multi-agent systems (MAS) modeling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. And, there are many multi-objective optimization problems in the ITS research. In this paper, we solve the traffic light signaling optimization problem and we take the average delay time and the average stop times as two objectives. We use a famous method of Non-dominated Sorting Genetic Algorithm II (NSGA-II). As NSGA-II can be viewed as an intelligent way of running a number of micro-simulations, usually the computation burden is huge. Graphics Processing Units (GPUs) have been a popular tool for parallel computing. The real transportation system runs in parallel and we think that a parallel tool is more suitable for the simulation and optimization of the system. We test GPU based NSGA-II method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the CPU version, the GPU version implementation achieves a speedup factor of 21.46 and 27.64 respectively.

关键词： Graphics processing unit

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An Approach to Remote Update Driver System of a Robotic Fish with Two Long Fins

An Approach to Remote Update Driver System of a Robotic Fish...

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32nd Chinese control Conference (CCC)

作者： Wei Qingping Wang Shuo Tan Min Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781479900305

The robotic fish with two long fins is one kind of underwater robot system imitating stingray's motion. The robotic fish generates thrust by use of two long fins located on both sides of body symmetrically. A driver control system for the motion control of fin rays is designed based on FPGA(Field Programmable Gate Array). Several kinds of motion modes can be achieved through tuning motion parameters. In order to facilitate updating control algorithm, reducing the probability of damaging the robot system and improving debugging efficiency, a solution for remote updating the driver program of the robotic fish wirelessly is proposed in this paper based on the dedicated remote system update circuitry integrated in ALTERA FPGA. In addition, a remote update system is designed in this paper. The designed control program updating system facilitates the debugging and optimization of multi-fin coordination control algorithm for the robotic fish with two long fins greatly.

关键词： Robotic fish Remote System Update FPGA

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Data-based Vehicle Adaptive Cruise control: A Review

Data-based Vehicle Adaptive Cruise Control: A Review

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32nd Chinese control Conference (CCC)

作者： Zhao Dongbin Wang Bin Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781479900305

Based on the conventional cruise control, vehicle adaptive cruise control (ACC) measures the distance and the relative velocity to the preceding vehicle real time via distance sensor, computes appropriate control output with respect to throttle or brake pedal, and control the velocity or headway automatically. Under the basically security guarantee, ACC could improve the comfort and reduce fuel consumption. This paper comprehensively investigates the theory and technology for ACC of last decades. We conclude the main approach of modeling, control and optimization of ACC, and note that data-based ACC system which conforms driver character and habit has been a new trend.

关键词： Adaptive Cruise control (ACC) Data-based control Model-based control

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Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2013年第1期14卷 22-33页

作者： Chen, Cheng Liu, Zhong Lin, Wei-Hua Li, Shuangshuang Wang, Kai Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China Univ Arizona Dept Syst & Ind Engn Tucson AZ 85721 USA Natl Univ Def Technol Coll Mechatron Engn & Automat Changsha 410073 Hunan Peoples R China

With the availability of increasingly more new data sources collected for transportation in recent years, the computational effort for traffic flow forecasting in standalone modes has become increasingly demanding for large-scale networks. Distributed modeling strategies can be utilized to reduce the computational effort. In this paper, we present a MapReduce-based approach to processing distributed data to design a MapReduce framework of a traffic forecasting system, including its system architecture and data-processing algorithms. The work presented here can be applied to many traffic forecasting systems with models requiring a learning process (e. g., the neural network approach). We show that the learning process of the forecasting model under our framework can be accelerated from a computational perspective. Meanwhile, model fusion, which is the key problem of distributed modeling, is explicitly treated in this paper to enhance the capability of the forecasting system in data processing and storage.

关键词： Distributed modeling MapReduce model fusion traffic flow forecasting

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Energy Saving Analysis and Evaluation in the Enhanced Local Area Architecture

Energy Saving Analysis and Evaluation in the Enhanced Local ...

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IEEE International Conference on Communications (ICC)

作者： Yu, Bo Cheng, Xiang Yang, Liuqing Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China

ISBN: (纸本)9781467357531

In this paper, we investigate the energy savings in small-cell networks in the enhanced Local Area architecture at two stages. At the cell planning stage, we derive the optimal base station (BS) density in terms of the minimum total BS power consumption under certain coverage requirement. Results show that the optimal BS density depends on both the coverage requirement and the BS power consumption model. At the dynamic cell operation stage, we evaluate the feasibility of dynamic BS switching off scheme quantitatively by system level simulations following assumptions and models in 3GPP. Results show that the energy savings are achieved at the cost of data rate loss, and the overall energy efficiency improvement is marginal.

关键词： cellular radio energy conservation local area networks telecommunication network planning

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COUPLED LATENT LEAST SQUARES REGRESSION FOR HETEROGENEOUS FACE RECOGNITION

COUPLED LATENT LEAST SQUARES REGRESSION FOR HETEROGENEOUS FA...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Cai, Xinyuan. Wang, Chunheng. Xiao, Baihua. Chen, Xue. Lv, Zhijian Shi, Yanqin Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Beijing Inst Sci & Technol Informat Beijing 100044 Peoples R China

ISBN: (纸本)9781479923410

One of the most difficult challenges in automatic face recognition is computing facial similarity between two images captured in different modalities, called heterogeneous face recognition. In this paper, we propose a novel method, named as coupled latent least squares regression, to improve the heterogeneous face recognition performance. The basic assumption is that the images of one person captured in different modalities can be viewed as modality-specific transforms of a latent ideal object. We formulate this assumption in the least squares regression framework, so as to learn the coupled transforms for different modalities. In particular, the local consistency information in the each modality is considered as a constraint to improve the generalization. Extensive experiments on two cases of heterogeneous face recognition (visible light vs. near infrared, and photo vs. sketch) validate the efficiency of the proposed method.

关键词： Heterogeneous face recognition least squares regression coupled projections local consistency

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Design and development of vehicle license plate recognition (VLPR) system to improve parking lot management

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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Chen, Yong Hu, Bin Li, Bo He, Qing Mo, Hong Xiong, Gang College of Electric and Information Changsha University of Science and Technology Changsha 410004 China Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China

ISBN: (纸本)9783037858639

In this paper, we design and develop Vehicle License Plate Recognition (VLPR) System, which is one part of comprehensive video management platform for parking lot. Combined with intelligent video analysis module, the proposed VLPR system can not only capture the license plates of those vehicles through ENTRANCE and EXIT of parking lot, but also recognize the contents of the captured license plates. In addition, the driver and passenger in the front row of the vehicle can be captured too. The capture subsystem operates well on embedded Linux environment running on Hi3516 SoC chip, and test results of the VLPR system meet the requirements of accuracy and real-time field applications. The VLPR system is easy to expand and modified for other management Information System to realize functions like personnel management, vehicle tracking, and more automatic and intelligent functions of parking lot management. © (2013) Trans Tech Publications, Switzerland.

关键词： License plates (automobile)

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On the Achievable Capacity of Dual-Polarized Antenna systems in 3D Indoor Scenarios

On the Achievable Capacity of Dual-Polarized Antenna Systems...

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2nd IEEE/CIC International Conference on Communications in China (ICCC)

作者： Wang, Fengxiang Cheng, Xiang Yang, Liuqing Yu, Bo Jiao, Bingli Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA

ISBN: (纸本)9781467328159

Unlike triple-polarized antennas, dual-polarized antennas can be easily implemented into thickness limited devices and thus have received much attention recently. Dual-polarized antennas have the potential to double the channel capacity in comparison with an omnidirectional single-input single-output (SISO) system. However, in real three-dimensional (3D) scenarios, dual-polarized antennas cannot capture the arriving power from the third polarization direction, which is orthogonal to the two-dimensional (2D) polarization plane. This will lead to power loss, which may significantly affect the resultant channel capacity. By proposing a novel two-sphere single-bounced geometry-based stochastic model (GBSM) and rigorously analyzing the change of polarization after single-bounced scattering, this paper studies the impact of the power loss on the channel capacity and specifies the conditions under which the channel capacity of dual-polarized systems is even worse than that of omnidirectional SISO systems. Not only that this is the first endeavor on this subject, but also this work is of practical importance in guiding appropriate deployment of dual-polarized antennas in real 3D indoor scenarios.

关键词： dual-polarized antenna power loss capacity elevation angle spread

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Application of vector ordinal optimization to the transportation systems with agent based modelling

Application of vector ordinal optimization to the transporta...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Shen, Z. Wang, K. Wang, F.-Y. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China Centre for Military Computational Experiments and Parallel Systems Technology College of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073 Hunan Province China

ISBN: (纸本)9781479915156

As the computing technology develops, micro-simulation becomes more and more important in the Intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. However, for a multi-agent systems (MAS) modelling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. Further, if we consider simulation based optimization, which can be simply understood as an intelligent way of running a number of micro-simulations, the computation burden is huge. Moreover, there are multiple objective optimization problems in the ITS. The Vector Ordinal Optimization (VOO) method is a powerful tool for multi-objective optimization. In this paper, we apply VOO to the problem of optimizing the stop times and delay time of an ITS. We test the method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) method, the VOO method can achieve a speedup of factor of more than 150, with only a little sacrifice of performance. © 2013 IEEE.

关键词： Multiobjective optimization

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