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Vehicle detection method based on active basis model and symmetry in ITS

Vehicle detection method based on active basis model and sym...

2013 16th International IEEE Conference on Intelligent Transportation systems: Intelligent Transportation systems for All Modes, ITSC 2013

作者： Yao, Yanjie Gang, Xiong Wang, Kunfeng Zhu, Fenghua Wang, Fei-Yue State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China

ISBN: (纸本)9781479929146

Vehicle detection is a foundational and significant task in video surveillance systems. In this paper, a vehicle detection method using a deformable model and symmetry is proposed. First, we learn the active basis model (ABM) from the target training sample set by using the shared sketch algorithm. Then, we utilize the edge information obtained by ABM and HSV color information to do symmetry analysis for vehicle objects. The ABM can detect vehicles in various poses, shapes, and sizes for its deformability. By doing edge and color symmetry analysis, subtle difference between two images and environment noises can be adapted. The results of experiments indicate that our approach is capable of detection different vehicles and localization vehicle in bad environment. What's important, the detection results support the capability of the proposed method to enable the introduction of novel intelligent transportation systems applications. © 2013 IEEE.

关键词： Vehicles

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The algorithm of MIMU/odometer integrated navigation system aided by nonholonomic constraints

The algorithm of MIMU/odometer integrated navigation system ...

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Shi Peng Xiao Xuan State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479925667

The navigation precision drops rapidly when MIMU (Micro Inertial Measurement Unit) works alone. Odometer data are easy to get on land vehicle, but the performance of integration system of MIMU/odometer is not enhanced obviously. In this work, a novel method is designed using nonholonomic constraints. When vehicle travels without slide and jump, the velocity in the plane perpendicular to forward direction is zero, as well as acceleration. Taking velocity constraint and acceleration constraint as measurement value, new measurement models are established. Integrated navigation algorithm is designed with the help of Kalman filter. With this method, the position error is 150m after 600s, and heading attitude error is 0.1°, comparing the result that the position error expands to 300m after 150s only aided by odometer.

关键词： Vehicles Acceleration Global Positioning System Velocity measurement Noise Kalman filters

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Detection of Penicillin via Surface Plasmon Resonance Biosensor

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Chemical Research in Chinese Universities 2012年第5期28卷 792-796页

作者： ZHANG Ying JIN Wei YANG Meng-chao ZHANG Ti-qiang ZHOU Chao XIE Fei SONG Qi REN Hao JIN Qin-han MU Ying Research Center for Analytical Instrumentation Institute of Cyber-systems and ControlState Key Laboratory of Industrial Control TechnologyDepartment of Control Science and TechnologyZhejiang UniversityHangzhou 310058PR.China

A method of using Au colloid to capture the decomposed product of penicillin, penicillamine, on a surface plasmon resonance（SPR） biosensor for the quantitative determination of penicillin was developed. Based on the de-composition of penicillin to generate penicillamine and penilloaldehyde, a high sensitive biosensor for detecting penicillin was also developed. In our experiment, it was penicillamine rather than penicillin that has been measured. This is because penicillamine contains a functional group that makes it self-assembling on Au colloid to increase the molecular weight so as to improve the surface plasmon resonance signal. On a UV-Vis spectrophotometer, a high concentration of penicilliamine-Au complex was determined, indicating that penicillamine was already well combined with Au colloid. The method, using the combination of Au colloid with penicillamine, proved to detect penicillin.

关键词： Surface plasmon resonance（SPR） Biosensor Penicillamine Au colloid

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sEMG based joint angle estimation of lower limbs using LS-SVM

sEMG based joint angle estimation of lower limbs using LS-SV...

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Li, Qingling Song, Yu Hou, Zengguang Zhu, Bin Department of Mechanical Engineering China University of Mining and Technology Beijing China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9783642420535

In this paper, a new estimation model based on least squares support vector machine (LS-SVM) is proposed to build up the relationship between Surface electromyogram (sEMG) signal and joint angle of the lower limb. The input of the model is 2 channels of preprocessed sEMG signal. The outputs of the model are joint angles of the hip and the knee. sEMG signal is acquired from 7 motion muscles in treadmill exercise. And two channels of them are selected for dynamic angle estimation for their strong correlation with angle data. Angle estimation model is constructed by 2 independent LS-SVM based regression model with radial basis function (RBF). It is trained using part of the sample sets acquired in 10s exercise duration and test by all data. Experimental result shows proposed method has good performance on joint angles estimation based sEMG. Root mean square error (RMSE) of prediction knee and hip joint angles is 3.02° and 2.09° respectively. It provide new human-machine interface for active rehabilitation training of SCI, stroke or neurological injury patients. © Springer-Verlag 2013.

关键词： Patient rehabilitation

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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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MODULAR HIERARCHICAL FEATURE LEARNING WITH DEEP NEURAL NETWORKS FOR FACE VERIFICATION

MODULAR HIERARCHICAL FEATURE LEARNING WITH DEEP NEURAL NETWO...

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IEEE International Conference on Image Processing

作者： Xue Chen Baihua Xiao Chunheng Wang Xinyuan Cai Zhijian Lv Yanqin Shi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Institute of Science and Technology Information

ISBN: (纸本)9781479923427

Feature representations play a crucial role in modern face recognition systems. Most hand-crafted image descriptors usually provide low-level information. In this paper, we propose a novel feature learning method based on deep neural networks to obtain high-level, hierarchical representations for face verification. Learning proceeds in two phases. In the pre-training phase, we train Restricted Boltzmann Ma-chine(RBM) networks for each modular region in the image separately. In the fine-tuning phase, in order to develop good discriminative ability, we stack the RBM networks of each region in deep architecture and combine deep learning with side information constraints in the whole image scale. Finally, we formulate the proposed method as an appropriate optimization problem and adopt gradient descent algorithm to get the optimal solution. We evaluate our method on the LFW dataset. Representations learned from the networks achieve comparable performance (93.11%) to the state-of-art method.

关键词： deep neural networks feature learning face verification face verification Modularity Neural network image scale face recognition system Face Verification

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Parameter-dependent vibration-attenuation controller design for electro-hydraulic actuated linear structural systems

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Earthquake Engineering and Engineering Vibration 2012年第1期11卷 73-82页

作者： Weng Falu Mao Weijie State Key Lab of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou 341000 China

The problem of robust active vibration control for a class of electro-hydraulic actuated structural systems with time-delay in the control input channel and parameter uncertainties appearing in all the mass, damping and stiffness matrices is investigated in this paper. First, by introducing a linear varying parameter, the nonlinear system is described as a linear parameter varying （LPV） model. Second, based on this LPV model, an LMI-based condition for the system to be asymptotically stabilized is deduced. By solving these LMIs, a parameter-dependent controller is established for the closed- loop system to be stable with a prescribed level of disturbance attenuation. The condition is also extended to the uncertain case. Finally, some numerical simulations demonstrate the satisfying performance of the proposed controller.

关键词： structural system electro-hydraulic servo system robust stabilization vibration attenuation parameter-dependent controller

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Microfluidic sequential injection analysis system based on polydimethylsiloxane (PDMS) chip with integrated pneumatic-actuated valves

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Science China Chemistry 2012年第4期55卷 531-536页

作者： FAN JiFeng ZHU Ying SHI XiaoTong FANG Qun HUANG Jiang Institute of Microanalytical Systems Department of ChemistryZhejiang UniversityHangzhou 310058China Research Center for Analytical Instrumentation Institute of Cyber-Systems and ControlState Key Laboratory of Industrial Control TechnologyZhejiang UniversityHangzhou 310058China

A sequential injection analysis (SIA) system based on polydimethylsiloxane (PDMS) chip with integrated pneumatic-actuated valves was developed. A novel SIA operation mode using multiphase laminar flow effect and pneumatic microvalve control was proposed. The sample and reagent solutions were synchronously loaded and injected in the chip-based sample injection module instead of multi-step sequential injection by a multiposition valve and a reciprocating pump as in conventional SIA system. The sample and reagent injection volumes were reduced to ca. 1.1 nL. The present system has the advantages of simple structure, fast and convenient operation, low sample and reagent consumption, and high degree of integration and automation. The system operation conditions were optimized using fluorescein as model sample. Its feasibility in biological analysis was preliminarily demonstrated in enzyme inhibition assay.

关键词： microfluidic chip PDMS chip pneumatic-actuated valve sequential injection analysis

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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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Achievable Performance of Decentralized control systems

Achievable Performance of Decentralized Control Systems

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American control Conference

作者： Su Liu Jinfeng Liu Yiping Feng Gang Ron State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Hangzhou 310027 China Department of Chemical & Materials Engineering University of Alberta Edmonton AB T6G 2V4 Canada

ISBN: (纸本)9781479901777

In this work, an efficient approach for the assessment of achievable performance of decentralized control systems based on a general quadratic performance index involving both system states and inputs is proposed. The performance assessment problem is formulated as an optimization problem subject to constraints in the form of linear/bilinear matrix inequalities which explicitly take the block-diagonal structural constraint on decentralized control systems into account. In order to deal with the block-diagonal constraint, an iterative approach based on the original optimization problem and an equivalent transformation of the original one with parameter space constraint is proposed. The proposed approach solves for both the best achievable performance and the corresponding controller (and observer) gains. The application to one example illustrates the applicability and effectiveness of the proposed approach.

关键词： Distributed control systems decentralised control control systems realizable equivalent transformation Constraint quadratic performance index

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