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Cycle-slip Detection of GPS Carrier Phase with Methodology of SA4 Multi-wavelet Transform

Chinese Journal of Aeronautics 2012年第2期25卷 227-235页

作者： HUO Guoping MIAO Lingjuan School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

That cycle-slips remain undetected will significantly degrade the accuracy of the navigation solution when using carrier phase measurements in global positioning system （GPS）. In this paper, an algorithm based on length-4 symmetric/anti-symmetric （SA4） orthogonal multi-wavelet is presented to detect and identify cycle-slips in the context of the feature of the GPS zero-differential carrier phase measurements. Associated with the local singularity detection principle, cycle-slips can be detected and located precisely through the modulus maxima of the coefficients achieved by the multi-wavelet transform. Firstly, studies are focused on the feasibility of the algorithm employing the orthogonal multi-wavelet system such as Geronimo-Hardin-Massopust （GHM）, Chui-Lian （CL） and SA4. Moreover, the mathematical characterization of singularities with Lipschitz exponents is explained, the modulus maxima from wavelet to multi-wavelet domain is extended and a localization formula is provided from the modulus maxima of the coefficients to the original observation. Finally, field experiments with real receiver are presented to demonstrate the effectiveness of the proposed algorithm. Because SA4 possesses the specific nature of good multi-filter properties （GMPs）, it is superior to scalar wavelet and other orthogonal multi-wavelet candidates distinctly, and for the half-cycle slip, it also remains better detection, location ability and the equal complexity of wavelet transform.

关键词： satellite navigation cycle-slip detection orthogonal multi-wavelet good multi-filter properties singularity detection

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A dynamic user adaptive combination strategy for hybrid movie recommendation

A dynamic user adaptive combination strategy for hybrid movi...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Chen, Cai Zeng, Daniel State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science China

ISBN: (纸本)9781467324007

Movie recommendation is a very popular service in internet based movie related websites such as NetFlix, MovieLens. The performance of the recommendation plays the key role in the user experience. Existing works have shown that combining content based and collaborative filtering based algorithms is the best way for movie recommendation. Nevertheless, the performance of this hybrid algorithm is strongly depended on the strategy how to combine the basic pure algorithms. Existing works usually use a static combination strategy which may generate even worse performance for some users. To solve this problems, in this paper we propose a new item based hybrid algorithm that uses a dynamic user adaptive combination strategy. Besides, we also exploit the external open resources IMDB as the movie content data. Experiments on real datasets show that the dynamic user adaptive combination strategy can significantly enhance the performance of the recommendation and the external open resource IMDB is a very good information resource for recommendation. © 2012 IEEE.

关键词： Collaborative filtering

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IEEE International Conference on control and automation

作者： Haiyang Hao Kai Zhang Steven X. Ding Zhiwen Chen Yaguo Lei Zhikun Hu Institute of Automatic Control and Complex Systems (AKS) University of Duisburg-Essen State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University School of Physics and Electronics Central South University

ISBN: (纸本)9781467347075

In this paper, a key performance indicator (KPI) related multiplicative fault diagnosis scheme is proposed for static industrial processes. This scheme is developed for an alternative algorithm to the standard partial least squares (PLS) based process monitoring, where no design parameter like "latent variable number" is involved. Based on both normal and faulty data sets, the multiplicative fault information is firstly estimated. With this knowledge, the most critical low-level control loop/component is further identified. Different from the existing data-driven additive fault diagnosis approaches, this scheme aims to handle the second order statistics, which is of fatal importance for KPI-related fault diagnosis. Finally, an academic example is investigated to illustrate the functionality of this scheme.

关键词： Mathematical model Fault diagnosis Monitoring Equations Additives Fault detection Standards

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2013年 7888 LNAI卷 vi页

作者： Liu, Derong Alippi, Cesare Zhao, Dongbin Hussain, Amir Chinese Academy of Sciences Institute of Automation State Key Laboratory of Management and Control for Complex Systems Beijing 100190 China Politecnico di Milano Dipartimento di Elettronica Informazione e Bioingegneria 20133 Milano Italy University of Stirling Department of Computing Science and Mathematics Stirling FK9 4LA United Kingdom

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Parallel Bus Rapid Transit (BRT) operation management system based on ACP approach

Parallel Bus Rapid Transit (BRT) operation management system...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Xiong, Gang Dong, Xisong Fan, Dong Zhu, Fenghua State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467303880

Bus Rapid Transit (BRT) is an effective way to increase urban traffic capacity. But its operation and scheduling optimization are difficult. In this article, Parallel BRT Operation management System (PBOMS) is constructed based on ACP approach. It can detect the passenger's quantity on station platforms in real-time, traffic flow besides stations or at intersections, and the queuing length of vehicles on the road lines. It can provide short-term passenger and traffic saturation prediction in order to arrange transportation management more accurately to relieve the congestion. It can assess, improve and optimize the emergency management during holidays, public events, accidents and other emergency situations. It can improve the quality of real-time scheduling functions by using the measurement results detected from traffic videos, and so on. This system has been piloted in Guangzhou Zhongshan Avenue BRT, which was applied for BRT's monitoring, warning, forecasting, emergency management, real-time scheduling and other purposes, to improve Guangzhou BRT's smoothness, safety, efficiency and reliability. © 2012 IEEE.

关键词： Risk management

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A novel parking control algorithm for a car-like mobile robot

A novel parking control algorithm for a car-like mobile robo...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Zhang, Yaru Tang, Shuming Zhang, Zhilin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

This paper proposes a novel algorithm for parking motion of a Car-like mobile robot. The algorithm presented here addresses calculating equations for planning a parking path in real time. Moreover, by incorporating the constraints of the mechanical and kinematical characteristics of the car and the geometry of the parking lot in the path planning, we can turn a parking problem into solving algebraic equations. By tracking a planned path, the Car-like mobile robot can drive into the parking area without hitting any boundaries. The efficiency of the proposed algorithm is demonstrated by simulation. © 2012 IEEE.

关键词： Motion planning

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Rear lamp based vehicle detection and tracking for complex traffic conditions

Rear lamp based vehicle detection and tracking for complex t...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Li, Ye Yao, Qingming State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

In video surveillance system, detection and tracking of vehicles are two foundational and significant tasks. In this paper, a vehicle detection and tracking method based on rear lamp pairs is proposed. The proposed method combines color with motion information to perform vehicle detection. In order to adapt to different weather conditions like night, the rear lamps are divided into two categories: unlit lamps and lighted lamps. First, threshold segmentation are used to extract both the unlit and lighted lamp candidates in hue-saturation-value (HSV) color space and the thresholds are selected automatically by maximally stable extremal region (MSER) method. Then, all lamp candidates are tracked by using Kalman filter and lamp candidates with short-lived trajectories are removed to avoid disturbances. Next, two adjacent lamp candidates with similar speed are bound together as a region of interest (ROI), which represents a potential pair of lamps. Image cross-correlation symmetry analysis based on Gabor filter is utilized to find the ROIs with symmetrical texture and these symmetric ROIs can be regarded as pairs of lamps. The experimental results show that the proposed method can effectively deal with various illumination conditions and improve the accuracy and robustness of vehicle detection. In addition, this method can perform vehicle detection and tracking under complex traffic conditions and the Gabor filter based symmetry analysis can successfully suppress subtle difference between the left and right parts of a vehicle as well as environment noises. © 2012 IEEE.

关键词： Color

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A review on vision-based pedestrian detection in intelligent transportation systems

A review on vision-based pedestrian detection in intelligent...

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Li, Bo Yao, Qingming Wang, Kunfeng State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467303880

Pedestrians are key participants in transportation systems, so pedestrian detection in video surveillance systems is of great significance to the research and application of Intelligent Transportation systems (ITS). We review some methods and models for vision-based pedestrian detection in recent years. In this paper, the pedestrian detection techniques are divided into macroscopic and microscopic according to different application in transportation systems. Macroscopic pedestrian detection aims to estimate crowd density without distinguishing each pedestrian, and microscopic pedestrian detection focuses on detection and recognition of individual pedestrians. The latter detection style is deeply studied, so it is presented in detail in this paper, especially for the feature-classifier-based detection method. Finally, the pedestrian detection algorithms are discussed and concluded from the viewpoint of video surveillance and ITS. Existing problems and future trends are presented in that section. © 2012 IEEE.

关键词： Security systems

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Implementing short-term traffic flow forecasting based on multipoint WPRA with MapReduce

Implementing short-term traffic flow forecasting based on mu...

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2012 8th IEEE/ASME International Conference on Mechatronic and Embedded systems and Applications, MESA 2012

作者： Li, Shuangshuang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467323475

The multipoint short-term traffic flow forecasting should deal with mass of historical traffic flow data from intersections in an area or urban. So the problem in runtime still remains to be the major obstacle for the practical and successful applications of the prediction algorithms. This problem becomes the key point to the evaluation of the data-driven methods especially for the nonparametric forecasting approach such as the weighted pattern recognition algorithm (WPRA). In order to solve this problem we use the MapReduce computing framework to implement the multipoint WPRA which is an improvement of the pattern recognition algorithm (PRA) based on the nonparametric regression method (NPR). By using MapReduce for the multipoint WPRA, the runtime successfully decreases, compared with using one computer. © 2012 IEEE.

关键词： MapReduce

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Improved generic acceptance function for Multi-point Metropolis algorithm

Improved generic acceptance function for Multi-point Metropo...

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2012 2nd International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2012

作者： Zhang, Yinghua Zhang, Wensheng State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Science BeiJing China

ISBN: (纸本)9789078677604

The key of designing MCMC algorithm is the choice of acceptance function. In this work, Selection criteria of acceptance function is given, and an improved Multi-point Metropolis algorithm with generic acceptance function is proposed, which is called GAF-MPM. Then GAF-MPM is showed to satisfy Detailed Balance Condition to ensure its convergence, the strict proof is given in this work. Further, several different acceptance functions are given, and we discuss the effect on the convergence speed, acceptance rate of the samples and the correlation due to the choice of different acceptance functions. Finally, its correctness and effectiveness is proven through numerical experiments. © the authors.

关键词： Detailed Balance Condition MCMC Metropolis hastings Multi-point

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