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Learning robust and discriminative low-rank representations for face recognition with occlusion

Pattern Recognition 2017年 66卷 129-143页

作者： Guangwei Gao Jian Yang Xiao-Yuan Jing Fumin Shen Wankou Yang Dong Yue Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Engineering Laboratory of Big Data Analysis and Control for active distribution network Nanjing University of Posts and Telecommunications Nanjing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) Fuzhou China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China School of Automation Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Southeast University Nanjing China

For robust face recognition tasks, we particularly focus on the ubiquitous scenarios where both training and testing images are corrupted due to occlusions. Previous low-rank based methods stacked each error image into a vector and then used L 1 or L 2 norm to measure the error matrix. However, in the stacking step, the structure information of the error image can be lost. Depart from the previous methods, in this paper, we propose a novel method by exploiting the low-rankness of both the data representation and each occlusion-induced error image simultaneously, by which the global structure of data together with the error images can be well captured. In order to learn more discriminative low-rank representations, we formulate our objective such that the learned representations are optimal for classification with the available supervised information and close to an ideal-code regularization term. With strong structure information preserving and discrimination capabilities, the learned robust and discriminative low-rank representation (RDLRR) works very well on face recognition problems, especially with face images corrupted by continuous occlusions. Together with a simple linear classifier, the proposed approach is shown to outperform several other state-of-the-art face recognition methods on databases with a variety of face variations.

关键词： Face recognition Low-rank matrix recovery Nuclear norm

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Association rule analysis for tour route recommendation and application to WCTSNOP

Association rule analysis for tour route recommendation and ...

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ISPRS Geospatial Week 2017

作者： Fang, Hui Chen, Chongcheng Lin, Jiaxiang Liu, Xianfeng Fang, Dong Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education Spatial Information Research Centre of Fujian Fuzhou University District Xueyuan Road China Dept. of Computer Science Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou University District Xiyuangong Road China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China Fuzhou Silviscene Information Technology Co. Ltd. China

The increasing E-tourism systems provide intelligent tour recommendation for tourists. In this sense, recommender system can make personalized suggestions and provide satisfied information associated with their tour cycle. Data mining is a proper tool that extracting potential information from large database for making strategic decisions. In the study, association rule analysis based on FP-growth algorithm is applied to find the association relationship among scenic spots in different cities as tour route recommendation. In order to figure out valuable rules, Kulczynski interestingness measure is adopted and imbalance ratio is computed. The proposed scheme was evaluated on Wangluzhe cultural tourism service network operation platform (WCTSNOP), where it could verify that it is able to quick recommend tour route and to rapidly enhance the recommendation quality. © Authors 2017. CC BY 4.0 License.

关键词： Data mining

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XB+-tree: A novel index for PCM/DRAM-Based hybrid memory 27th

XB+-tree: A novel index for PCM/DRAM-Based hybrid memory

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27th Australasian Database Conference on Databases Theory and Applications, ADC 2016

作者： Li, Lu Jin, Peiquan Yang, Chengcheng Wan, Shouhong Yue, Lihua University of Science and Technology of China Hefei China Key Laboratory of Electromagnetic Space Information Chinese Academy of Sciences Hefei China Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (纸本)9783319469218

Phase Change Memory (PCM) has emerged as a new kind of future memories that can be used as an alternative of DRAM. PCM has a number of special properties such as non-volatility, high density, read/write asymmetry, and byte addressability. Specially, PCM has higher write latency than DRAM but has comparable read latency with DRAM. This makes it difficult to directly replace DRAM with PCM in current memory hierarchy. Thus, in this paper, we propose to construct hybrid memory architecture that involves both PCM and DRAM, which is a practical and feasible way to utilize PCM. Such hybrid memory architecture introduces many new issues for database researches, as existing algorithms have to be revised to be suitable for hybrid memory. In this paper, we study the indexing issue on PCM/DRAM-based hybrid memory and propose an improved version of the B+-tree called XB+-tree (eXtended B+- tree). The key idea of the XB+-tree is to detect the read/write tendency of the nodes in the tree index and organize write-intensive nodes on PCM while putting read-intensive nodes on DRAM. We propose a new node management and migration algorithm in the XB+-tree to effectively move nodes between DRAM and PCM. With this mechanism, we can reduce the read and write operations on PCM and improve the overall performance. We conduct trace-driven experiments and compare our proposal with three existing indices including the B+-tree, the OB+-tree (B+-tree with the overflow scheme), and the CB+-tree. The results in terms of PCM read/write count and run time suggest the efficiency of our proposal. © Springer International Publishing AG 2016.

关键词： Phase change memory

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Design and Implementation of PWM Generator Based on OMAP-L138

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IOP Conference Series: Materials science and Engineering 2018年第1期381卷

作者： Xian Zhang Taiguo Qu Dong Yin Yiwen Liu School of Computer Science and Engineering Huaihua University Huaihua 418008 Hunan China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua 418008 Hunan China

Aiming at the demand of PWM waveform in the fields of communication, measurement, control, electronic power, detection and so on, in this paper, the hardware circuit of PWM generator based on OMAP-L138 chip is designed, and the control program of PWM generator is designed with the idea of layered design. The correctness of the circuit design and control program of the PWM generator is tested and the performance indexes of the PWM generator circuit such as the CPU consumption rate and the precision of the CPU duty cycle are tested. The experimental results show that the PWM generator has the advantages of simple circuit structure, high control precision, high flexibility and good portability.

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An online state and parameter estimation of dynamic state space model of high speed train

International Journal of Control and Automation

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International Journal of control and Automation 2016年第9期9卷 51-62页

作者： Xie, Guo Zhang, Dan Hei, Xinhong Qian, Fucai Takahashi, Sei Nakamura, Hideo Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an Shaanxi710048 China College of Science and Technology Nihon University 7-24-1 Narashinodai Funabashi Chiba274-8501 Japan

In this paper, the state space model of high speed train is established to describe its nonlinear dynamic characteristics, whose parameters are disturbed by noise with an arbitrary distribution, and an online state and parameter identification method is proposed based on a parameters set by employing Bayesian theory and Particle Filter (PF). Firstly, the priori probabilities of all of the possible parameters are set to be equal, and the predicted states with different parameters are estimated using PF. Then the posterior probabilities of the parameters are updated by analyzing the characteristic of the measurement noise using Bayesian theory. Finally, the system sate and parameter are estimated by weighted summing all of the parameters and predicted states. The simulation results indicate that the proposed method can estimate the states and parameters of high speed train online and adaptively. © 2016 SERSC.

关键词： State space methods

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Characteristic model-based adaptive discrete-time sliding mode design for hypersonic vehicle attitude control

Characteristic model-based adaptive discrete-time sliding mo...

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IEEE International Conference on Mechatronics and Automation

作者： Yafei Chang Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing 100190 China

ISBN: (纸本)9781509023974

A novel robust adaptive control scheme is developed based on the characteristic modeling and discrete-time sliding mode control theory, for the attitude control of a hypersonic vehicle with parameter uncertainties and time-variation. The characteristic model of the hypersonic vehicle is derived considering the control objective and the vehicle feature firstly. Then a discrete-time sliding mode control law with a recursive form is proposed on the basis of the characteristic model, to enhance the control performance and system robustness to inevitable uncertainties. The main advantage of our proposed robust adaptive control scheme is that no knowledge of the boundaries and variation rate of parameter uncertainties is required in advance. Using the Lyapunov stability theory, the closed-loop system is proved stable and convergence properties of the system are assured. Finally, the simulations results demonstrate the effectiveness of the robust adaptive control scheme.

关键词： characteristic model discrete-time sliding mode control hypersonic vehicle attitude control

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Direct Measurement of the Cosmic-Ray Proton Spectrum from 50 GeV to 10 TeV with the Calorimetric Electron Telescope on the International space Station

引用

Physical Review Letters 2019年第18期122卷 181102-181102页

作者： O. Adriani Y. Akaike K. Asano Y. Asaoka M. G. Bagliesi E. Berti G. Bigongiari W. R. Binns S. Bonechi M. Bongi P. Brogi A. Bruno J. H. Buckley N. Cannady G. Castellini C. Checchia M. L. Cherry G. Collazuol V. Di Felice K. Ebisawa H. Fuke T. G. Guzik T. Hams N. Hasebe K. Hibino M. Ichimura K. Ioka W. Ishizaki M. H. Israel K. Kasahara J. Kataoka R. Kataoka Y. Katayose C. Kato N. Kawanaka Y. Kawakubo K. Kohri H. S. Krawczynski J. F. Krizmanic T. Lomtadze P. Maestro P. S. Marrocchesi A. M. Messineo J. W. Mitchell S. Miyake A. A. Moiseev K. Mori M. Mori N. Mori H. M. Motz K. Munakata H. Murakami S. Nakahira J. Nishimura G. A. de Nolfo S. Okuno J. F. Ormes S. Ozawa L. Pacini F. Palma P. Papini A. V. Penacchioni B. F. Rauch S. B. Ricciarini K. Sakai T. Sakamoto M. Sasaki Y. Shimizu A. Shiomi R. Sparvoli P. Spillantini F. Stolzi J. E. Suh A. Sulaj I. Takahashi M. Takayanagi M. Takita T. Tamura T. Terasawa H. Tomida S. Torii Y. Tsunesada Y. Uchihori S. Ueno E. Vannuccini J. P. Wefel K. Yamaoka S. Yanagita A. Yoshida K. Yoshida Department of Physics University of Florence Via Sansone 1—50019 Sesto Fiorentino Italy INFN Sezione di Florence Via Sansone 1—50019 Sesto Fiorentino Italy Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle Baltimore Maryland 21250 USA Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba 277-8582 Japan Waseda Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo 169-8555 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki 305-8505 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 53100 Siena Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3—56127 Pisa Italy Department of Physics and McDonnell Center for the Space Sciences Washington University One Brookings Drive St. Louis Missouri 63130-4899 USA Heliospheric Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton Rouge Louisiana 70803 USA Institute of Applied Physics (IFAC) National Research Council (CNR) Via Madonna del Piano 10 50019 Sesto Fiorentino Italy Department of Physics and Astronomy University of Padova Via Marzolo 8 35131 Padova Italy INFN Sezione di Padova Via Marzolo 8 35131 Padova Italy University of Rome “Tor Vergata” Via della Ricerca Scientifica 1 00133 Rome Italy INFN Sezione di Rome “Tor Vergata” Via della Ricerca Scientifica 1 00133 Rome Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa 252-5210 Japan CRESST and Astroparticle Physics Laboratory NASA/GSFC Greenbelt Maryland 20771 USA Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa 221-8686 Japan Faculty of

In this paper, we present the analysis and results of a direct measurement of the cosmic-ray proton spectrum with the CALET instrument onboard the International space Station, including the detailed assessment of systematic uncertainties. The observation period used in this analysis is from October 13, 2015 to August 31, 2018 (1054 days). We have achieved the very wide energy range necessary to carry out measurements of the spectrum from 50 GeV to 10 TeV covering, for the first time in space, with a single instrument the whole energy interval previously investigated in most cases in separate subranges by magnetic spectrometers (BESS-TeV, PAMELA, and AMS-02) and calorimetric instruments (ATIC, CREAM, and NUCLEON). The observed spectrum is consistent with AMS-02 but extends to nearly an order of magnitude higher energy, showing a very smooth transition of the power-law spectral index from −2.81±0.03 (50–500 GeV) neglecting solar modulation effects (or −2.87±0.06 including solar modulation effects in the lower energy region) to −2.56±0.04 (1–10 TeV), thereby confirming the existence of spectral hardening and providing evidence of a deviation from a single power law by more than 3σ.

关键词： Cosmic ray acceleration Cosmic ray composition & spectra Cosmic ray propagation Cosmic ray sources Cosmic rays & astroparticles

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Self adaptation of chimera states

arXiv

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arXiv 2018年

作者： Yao, Nan Huang, Zi-Gang Ren, Hai-Peng Grebogi, Celso Lai, Ying-Cheng Department of Applied Physics Xi’an University of Technology Xi’an710048 China School of Life Science and Technology Xi’an Jiao Tong University Xi’an710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Physics Arizona State University TempeAZ85287 United States

Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve their robustness? We uncover a self-adaptation behavior by which, upon a spatially localized perturbation, the coherent component of the chimera state spontaneously drifts to an optimal location as far away from the perturbation as possible, exposing only its incoherent component to the perturbation to minimize the disturbance. A systematic numerical analysis of the evolution of the spatiotemporal pattern of the chimera state towards the optimal stable state reveals an exponential relaxation process independent of the spatial location of the perturbation, implying that its effects can be modeled as restoring and damping forces in a mechanical system and enabling the articulation of a phenomenological model. Not only is the model able to reproduce the numerical results, it can also predict the trajectory of drifting. Our finding is striking as it reveals that, inherently, chimera states possess a kind of "intelligence" in achieving robustness through self adaptation. The behavior can be exploited for controlled generation of chimera states with their coherent component placed in any desired spatial region of the system. Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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A Data Driven Method for Quantitative Fault Diagnosability Evaluation

A Data Driven Method for Quantitative Fault Diagnosability E...

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第28届中国控制与决策会议

作者： Yongzhao Hua Qingdong Li Zhang Ren Chengrui Liu School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control LaboratoryBeihang University Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory

ISBN: (纸本)9781467397155

Knowledge of achievable diagnosability performance can provide theoretical guidance for developing diagnostic algorithms and optimizing sensor placement.A data driven approach for fault diagnosability quantitative evaluation without designing any diagnosis algorithm is *** diagnosability is converted to similarity measure of output information which is denoted by fuzzy sets under different fault states.A quantitative evaluation measure and a specific diagnosability evaluation process are ***,an example is presented to demonstrate the effectiveness of the proposed methodology.

关键词： Fault diagnosability Data driven Fuzzy sets Similarity measure Quantitative evaluation

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Distributed computation of linear matrix equations: An optimization perspective

arXiv

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arXiv 2017年

作者： Zeng, Xianlin Liang, Shu Hong, Yiguang Chen, Jie Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Ministry of Education Beijing100081 China

This paper investigates the distributed computation of the well-known linear matrix equation in the form of AXB = F, with the matrices A, B, X, and F of appropriate dimensions, over multiagent networks from an optimization perspective. In this paper, we consider the standard distributed matrix-information structures, where each agent of the considered multi-agent network has access to one of the sub-block matrices of A, B, and F. To be specific, we first propose different decomposition methods to reformulate the matrix equations in standard structures as distributed constrained optimization problems by introducing substitutional variables;we show that the solutions of the reformulated distributed optimization problems are equivalent to least squares solutions to original matrix equations;and we design distributed continuous-time algorithms for the constrained optimization problems, even by using augmented matrices and a derivative feedback technique. Moreover, we prove the exponential convergence of the algorithms to a least squares solution to the matrix equation for any initial condition. Copyright © 2017, The Authors. All rights reserved.

关键词： Continuous time systems

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