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Soft-signed sparse coding for ground-based cloud classification

Soft-signed sparse coding for ground-based cloud classificat...

引用

International Conference on Pattern Recognition

作者： Shuang Liu Chunheng Wang Baihua Xiao Zhong Zhang Yunxue Shao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467322164

Traditional sparse coding has been successfully applied in texture and image classification in the past years. Yet such kind of method neglects the influence of the signs of coding coefficients, which may cause information loss in the sequential max pooling. In this paper, we propose a novel coding strategy for ground-based cloud classification, which is named soft-signed sparse coding. In our method, a constraint on the signs is explicitly added to the objective function of traditional sparse coding model, which can effectively regulate the ratio between the number of positive and negative non-zero coefficients. As a result, the proposed method can not only obtain low reconstruction error but also consider the influence of the signs of coding coefficients. The strategy is verified on two challenging cloud datasets, and the experimental results demonstrate the superior performance of our method compared with previous ones.

关键词： Encoding Image coding Clouds Dictionaries Vectors Image reconstruction Linear programming

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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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IEEE International Conference on Networking, Sensing and control

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

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.

关键词： Vehicles Data models Real time systems Monitoring Scheduling Roads

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Parallel public transport management and control system for Guangzhou Asian Games

Parallel public transport management and control system for ...

引用

IEEE International Conference on Networking, Sensing and control

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

Public traffic is required for the convenient travel, reducing traffic congestion and accidents, low-carbon, environmental protection, sustainable development, and traffic demand of giant sports and large business activities, etc. For public transport demand of the 16th Asian Games and the 2010 Asian Para Games held in Guangzhou in 2010, based on ACP approach, Parallel Public Transport management And control System (PPTMS) for Guangzhou Asian Games had been developed to support management decision of public transport. This system can help public transport managers to improve and enhance significantly the level of public transport management in Guangzhou, from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation with intelligent systems, to guarantee the traffic demand effectively during the two Games.

关键词： Games Indexes Vehicles Streaming media Security Accidents

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Polarization trend in sponsored search auctions

Polarization trend in sponsored search auctions

引用

22nd Workshop on Information Technologies and systems, WITS 2012

作者： Yuan, Yong Zeng, Daniel Zhao, Huimin Cheng, Jiesi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ United States Sheldon B. Lubar School of Business University of Wisconsin-Milwaukee Milwaukee WI United States

Quality score (QS) plays a critical role in sponsored search auctions and in practice is closely related to the historical click-through rate (CTR) of an advertisement. Existing research, however, has not explicitly considered this correlation between QS and historical CTR. In this paper, we strive to bridge this gap. Based on a discrete time-dependent optimal control model, which explicitly captures the CTR-QS correlation, we analyze the optimal positioning strategy and the widely-observed greedy positioning strategy for advertisers. We find that both strategies lead advertisers to monotonically increase or decrease their ranks over time, and thus may result in a polarization trend in sponsored search markets. Our findings can help characterize advertisers' behavior dynamics and also offer valuable insights and suggestions to search engines.

关键词： Polarization

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Research on students' mental crisis monitoring and intervention mechanism based on online social network

Research on students' mental crisis monitoring and intervent...

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

作者： Li, Suna Shao, Xia Zhao, Feifei Tianjin Polytechnic University Tianjin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Internet as the fertile ground of free speech, everyone can express their emotions, cognition and views of things via the internet, especially in the era of Web2.0, the occurrence of blog which provides a wider space for personal speech. Internet provides a broad platform for contemporary college students to express thought and emotion, at the same time it provides a channel for education workers to understand students' thought and mental. Through real-time monitoring information on school area network, we can get real-time status, mood and some dynamic data which can portray characteristics of emotion of the concerned entity;also we can abstract the characterization of psychological crisis information, and use this feature to do data mining on these data. In this way we can find group of students which have tendency of psychological crisis, and use corresponding psychological crisis intervention online and offline methods to ease students' psychological crisis and to prevent tragic events in timely. © 2012 IEEE.

关键词： Students

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Graph-Based Background Suppression for Scene Text Detection

Graph-Based Background Suppression for Scene Text Detection

引用

IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Detecting text in video or natural scene image is quite challenging due to the complex background, various fonts and illumination conditions. The preprocessing period, which suppresses the nontext areas so as to highlight the text areas, is the basis for further text detection. In this paper, a novel graph-based background suppression method for scene text detection is proposed. Considering each pixel as a node in the graph, our approach incorporates pixel-level and context-level features into a graph. Various factors contribute to the unary and pair wise cost function which is optimized via max-flow/min-cut algorithm [16] to get a binary image whose nontext pixels are suppressed so that text pixels are highlighted. Furthermore, the proposed background suppression method could be easily combined with other detection methods to improve the performance. Experimental results on ICDAR 2011 competition dataset show promising performance.

关键词： Image edge detection Cost function Image color analysis Text categorization Feature extraction Computer vision

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A hierarchical networked urban traffic signal control system based on multi-agent

A hierarchical networked urban traffic signal control system...

引用

IEEE International Conference on Networking, Sensing and control

作者： Cheng Chen Zheng Jiang Li State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control agents, which can move from device to device in a network. The system can reconfigure and replace these agents according to inconstant states of traffic environment and performances of agents. By this way, demand-based control is realized in traffic signal control system. Then we described the details and key technologies in the procession of agent-generation, agent-storage and agent-usage. At last, a prototype of the system is developed and basic functions of this system are tested by simulations. These simulations also confirm extensibility and effectiveness of the system.

关键词： control systems Databases Organizations Vehicles Roads Mobile communication Aerospace electronics

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Sparse Representation based on Matrix Rank Minimization and K-Means Clustering for Recognition

Sparse Representation based on Matrix Rank Minimization and ...

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International Joint Conference on Neural Networks

作者： Long Ma Chunheng Wang Baihua Xiao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China 100190

ISBN: (纸本)9781467314886

In this paper, we propose a sparse coding algorithm based on matrix rank minimization and k-means clustering and for recognition. We consider the problem of removing the noise in the training samples and generating more samples at the same time. To accomplish this, we extended the matrix rank minimization problem to cope with complex data. Samples from the same class are segmented into several groups by k-means clustering algorithm, and matrix rank minimization is applied on the clustered data to separate the noises and recover the low-rank structures in the grouped data. An over-complete dictionary is constructed by connecting the low-rank structures and the training samples together to keep the samples diversity. Sparse representation is operated based on this over-complete dictionary for recognition. Furthermore, a parameter is introduced to adjust the weighting of the coefficients that code the noises. We apply the proposed algorithm for character and face recognition. Experiments with improved performances validate the effectiveness of the proposed algorithm.

关键词： sparse representation Noise Recognition (Psychology) Rank of data matrices Sparse coding Dictionaries as Topic

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Adaptive Graph Cut Based Binarization of Video Text Images

Adaptive Graph Cut Based Binarization of Video Text Images

引用

IAPR International Workshop on Document Analysis systems, DAS

Interactive image segmentation which needs the user to give certain hard constraints has shown promising performance for object segmentation. In this paper, we consider characters in text image as a special kind of object, and propose an adaptive graph cut based text binarization method to segment text from background. The main contributions of the paper lie in: 1) in order to make the binarization local adaptive with uneven background, the text region image is firstly roughly split into several sub-images on which graph cut is applied, and 2) considering the unique characteristics of the text, we propose to automatically classify some pixels as text or background with high confidence, severed as hard constraints seeds for graph cut to extract text from background by spreading the seeds into the whole sub-image. The experimental results show that our approach could get better performance in both character extraction accuracy and recognition accuracy.

关键词： Image segmentation Image color analysis Image edge detection Character recognition Optical character recognition software Noise

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Training Strategies for a Lower Limb Rehabilitation Robot Based on Impedance control

Training Strategies for a Lower Limb Rehabilitation Robot Ba...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Jin Hu Zengguang Hou Feng Zhang Yixiong Chen Pengfeng Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424441198

This paper proposes three training strategies based on impedance control, including passive training, damping-active training and spring-active training, for a 3- DOF lower limb rehabilitation robot designed for patients with paraplegia or hemiplegia. controllers with similar structure are developed for these training strategies, consisting of dual closed loops, the outer impedance control loop and the inner position/ velocity control loop, known as position-based impedance control method. Simulation results verify that position-based impedance control approach is feasible to accomplish the training strategies.

关键词： Training Strategies Lower Limb Rehabilitation Robot Based Impedance control

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