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2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010

作者： Chen, Zhong Zhao, Mingchang State Key Laboratory of Intelligent Technology and Systems Department of Automation Tsinghua University Beijing 100-084 China R and D Department Chison Medical Imaging Co. Ltd. Wuxi 214028 China

ISBN: (纸本)9781424488841

In this paper, an adaptive spectral doppler estimation based on recursive least squares (RLS) algorithm is proposed for blood velocity distribution estimation. The purpose is to (i) minimize the observation window needed to estimate the spectral distribution and get better temporal resolution, (ii) adaptive estimate the spectral distribution using the current data. An optimization problem is built and solved by matrix gradient method and Matrix Inversion Lemma to get the optimal weighting coefficients and adaptive realization. Simulation results illustrate that the proposed scheme can significantly realize the purpose. © 2010 IEEE.

关键词： Fast Fourier transforms

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Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs

Collaborative filtering: Weighted nonnegative matrix factori...

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10th SIAM International Conference on Data Mining, SDM 2010

作者： Gu, Quanquan Zhou, Jie Ding, Chris State Key Laboratory on Intelligent Technology and Systems Department of Automation Tsinghua University Beijing 100084 China Department of Computer Science and Engineering University of Texas at Arlington 416 Yates Street Arlington TX 76019 United States

Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative filtering based on graph regularized weighted nonnegative matrix factorization. In our model, two graphs are constructed on users and items, which exploit the internal information (e.g. neighborhood information in the user-item rating matrix) and external information (e.g. content information such as user's occupation and item's genre, or other kind of knowledge such as social trust network). The proposed method not only inherits the advantages of model-based method, but also owns the merits of memory-based method which considers the neighborhood information. Moreover, it has the ability to make use of content information and any additional information regarding user-user such as social trust network. Due to the use of these internal and external information, the proposed method is able to find more interpretable low-dimensional representations for users and items, which is helpful for improving the recommendation accuracy. Experimental results on benchmark collaborative filtering data sets demonstrate that the proposed methods outperform the state of the art collaborative filtering methods a lot. Copyright © by SIAM.

关键词： Collaborative filtering

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Deployment optimization for point air defense based on Memetic algorithm

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Zidonghua Xuebao/ Acta Automatica Sinica 2010年第2期36卷 242-248页

作者： Chen, Jie Chen, Chen Zhang, Juan Xin, Bin School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China Department of Automation Tsinghua University Beijing 100084 China

Firepower units deployment optimization is a key problem of networked air defense fire control system. As a combinatorial optimization problem, research on the point air defense deployment problem is performed. The optimization objective is to maximize the protective contribution to the protected place in the scheme of firepower deployment, and the constrains include geographical conditions and resources of the firepower units. Firstly, the protected area is divided into many grids to make continuous protected area be selected location points. Secondly, descriptions of the deployment scheme, firepower overlay capability, location restrictions, and firepower overlay requirements are given. Based on the quantitive descriptions, a mathematical model is established. An optimization method based on Memetic algorithm is constructed by genetic algorithm and neighborhood search. Generation of feasible solution and selection operation are employed to solve the constraint satisfaction problem. In the end, experiments show that the method is feasible and effective. Copyright © 2010 Acta Automatica Sinica. All rights reserved.

关键词： Fire control systems

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Chaotic synchronization in RCL-shunted Josephson junctions

Chaotic synchronization in RCL-shunted Josephson junctions

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作者： Lu, Pingli Yang, Ying School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China Department of Mechanics and Engineering Science Peking University Beijing 100871 China

ISBN: (纸本)9787894631046

Chaotic synchronization criteria for a class of dynamical networks with each node being RCL-shunted Josephson junction is proposed in this paper. The proposed algorithms, which are established in terms of linear matrix inequalities (LMIs), guarantee the synchronized states to be global asymptotically stable. In addition, an interesting conclusion is reached that the chaotic synchronization in the coupled whole 3N-dimensional networks can be converted into that of 3-dimensional space.

关键词： Linear matrix inequalities

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Person-independent head pose estimation based on random forest regression

Person-independent head pose estimation based on random fore...

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IEEE International Conference on Image Processing

作者： Yali Li Shengjin Wang Xiaoqing Ding State Key Laboratory of Intelligent Technology and System Department of Electronic Engineering Tsinghua University Beijing China

In this paper, a novel approach for person-independent head pose estimation in gray-level images is presented. There are two steps of the proposed method. In order to preserve similar patterns of faces under various poses, a novel multi-view face detector using tree-structured cascaded-Adaboost classifiers is applied. Furthermore, based on the cropped face images, randomized regression trees are learned and applied to estimate head pose precisely. Experiments show that our method achieves better pose estimation results in both horizontal and vertical orientations in comparison with the reported result with skin color information.

关键词： Head Estimation Classification tree analysis Magnetic heads Regression tree analysis Classification algorithms Face detection

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Distributed simulation system hierarchical design model based on quotient space granular computation

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Zidonghua Xuebao/Acta Automatica Sinica 2010年第7期36卷 923-930页

作者： Chen, Jie Wu, Di Zhang, Juan Department of Automation Beijing Institute of Technology Beijing 100081 China Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China VALORIA Laboratory Department of Computer Science and Technology University of South Brittany Vannes Cedex 56017 France

To answer the problem of ambiguous design levels for large-scale distributed simulation systems, this paper proposes a hierarchical system model based on the quotient space theory. This model consists of a system global design level, an architecture level, and a execution structure level to solve the problem of diverse levels on system design. Furthermore, we deeply analyze the relationship between the granules of different levels in both horizontal and vertical directions, and integratedly consider simulation tasks, resources and services. Finally, the model is verified based on a real simulation system design example, and the results illustrate that the flexibility and reusability of the system can be improved with the application of the hierarchical design model. Copyright © 2010 Acta Automatica Sinica. All rights reserved.

关键词： systems analysis

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Optimal Beamforming in MIMO Two-Way Relay Channels

Optimal Beamforming in MIMO Two-Way Relay Channels

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Xiyuan Wang Xian-Da Zhang State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology Department of Automation Tsinghua University Beijing China

In this paper, the optimal analog network coding strategy (or relay beamforming) in MIMO two-way relay channels is studied. The weighted sum rate is used as the optimization criterion. Motivated by the classic Arimoto-Blahut algorithm, an iterative algorithm, which monotonically improves the cost function, is designed to update the relay beamformer. This relay beamforming algorithm is further extended to the case of joint source and relay beamforming. We show that in the iteration of the algorithms, the updates of the relay beamforming matrix and the source beamforming matrices are accomplished by solving a series of quadratic programs and quadratically constrained quadratic programs, which are of low complexity. Simulations are presented to compare the proposed algorithms with the performance upper bounds and the existing algorithms.

关键词： Relays Array signal processing Upper bound MIMO Algorithm design and analysis Joints Signal to noise ratio

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A Cooperative Spectrum Sensing Scheme Based on Linear PAC in Cognitive Radio Networks

A Cooperative Spectrum Sensing Scheme Based on Linear PAC in...

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IEEE Conference on Vehicular technology (VTC)

作者： Zhong Chen Xianda Zhang State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology Department of Automation Tsinghua University Beijing China

In this paper, we consider a cognitive radio (CR) system in non-ideal fading wireless channels and propose a cooperative spectrum sensing scheme based on linear parallel access channel (PAC),serving as an alternative way to improve the cooperative spectrum sensing performance. We assume that the gains of the observation and transmission channels are all known which is available since we use standard preamble-aided channel estimation techniques to require channel state information. The key feature of the proposed scheme is that the observations are transmitted by amplify and forward transmissions from part of cognitive users (CUs) to a fusion center (FC) while the other CUs keep silent. The optimal weighting coefficients are obtained by maximizing the deflection coefficient under transmit power constraint and the optimal number and set of CUs in cooperation is searched by a sequential forward selection algorithm. Simulation results illustrate that the proposed optimal cooperative spectrum sensing scheme can significantly improve the spectrum sensing performance.

关键词： Sensors Copper Cognitive radio Optimization Signal to noise ratio Wireless sensor networks Chromium

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HTF: a novel feature for general crack detection

HTF: a novel feature for general crack detection

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IEEE International Conference on Image Processing

作者： Han Hu Quanquan Gu Jie Zhou State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology (TNList) Department of Automation Tsinghua University Beijing China

Recent years, image-based crack detection has attracted more and more attentions for its potential applications on the inspection, diagnosis, and maintenance of various products, e.g. metal workpiece, concrete structure, asphalt road and etc. Generally, the applications are inevitably confronted with noises such as non-uniform illuminated conditions, shadings, stains and nature textures. To ease the problem, traditional methods usually focused on a special application and are carried out with strictly controlled image acquisition environments or an adhoc preprocessing procedure. In this paper, we propose a general crack detection method which can deal with various products as well as the noises in a unified fashion, and even with the same parameters. The method partitions an image into overlapped small grid cells and determines whether the cells contain cracks using a well designed feature descriptor. Experiments using real images of various products show the effectiveness of the proposed feature as well as the method.

关键词： Pixel Feature extraction Transforms Surface cracks Roads Support vector machines Concrete

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A Comparative Study of Combining Multiple Features for Fingerprint Recognition

A Comparative Study of Combining Multiple Features for Finge...

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International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB)

作者： Fanglin Chen Jie Zhou State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology (TNList) Department of Automation Tsinghua University Beijing China

A number of different features, besides minutiae, have been used for fingerprint matching. There include orientation-based minutia descriptor, FingerCode, ridge feature map, orientation map, and density map. Previous studies have shown that the performance of a fingerprint recognition system can be improved by combining these features with minutiae through a fusion strategy. In this paper, a comparative study of combining multiple features is carried out on a large database. Based on the experimental results, some useful conclusions can be drawn: (1) A larger improvement can usually be obtained as we combine more features; (2) However, beyond 4 features, the performance improvement is very small. (3) MD (minutiae and orientation-based minutia descriptor) are the best of two-feature combinations. It is interesting that the single feature D (minutia descriptor) does not perform the best, but the combination of MD (minutiae and minutia descriptor) performs very well. (4) Although the combinations of MO and MD performs the best among the two-feature combinations, MDO performs not so good as MDR (minutiae, minutia descriptor, and ridge density map) due to the correlativeness between D and O. These observations are helpful for designing practical fingerprint matching systems.

关键词： Feature extraction Databases Support vector machines Fingerprint recognition Kernel Computational efficiency

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