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第三十二届中国控制会议

作者： Wen-Min Zhou Yan Wu Yan-Wu Wang Jiang-Wen Xiao School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan Institute of Marine Electric Propulsion CSIC

ISBN: (纸本)9781479900305

This paper is concerned with the modeling and the control of networked control systems(NCSs) with stochastic packet *** order to facilitate the technical description,network-induced time delay is assumed to be *** closed-loop NCS with stochastic packet dropout is modeled as a continuous-time system with time-varying delays and stochastic parameters. By utilizing the Lyapunov-Krasovskii functional method,the integral inequality lemma and the Gronwall-Bellman lemma,a less conservative criterion for exponential mean-square stability of NCS with stochastic packet dropout is presented in the form of nonlinear matrix ***,the state feedback gain matrix is provided based on solving a linear matrix inequality (LMI).Moreover,the state feedback gain matrix is obtained by solving a linear matrix inequality(LMI).Based on the solvability of this LMI,the allowable upper bound of continuous packet dropouts is determined,from which the maximum allowable time interval(MATI) can also be ***,a numerical example is given to demonstrate the effectiveness of our results.

关键词： exponential mean-square stability networked control system stochastic packet dropout maximum allowable time interval

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Auroral event detection using spatiotemporal statistics of local motion vectors

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Advances in Polar science 2013年第3期24卷 175-182页

作者： WANG Qian LIANG Jimin HU Zejun Image and Information Processing Research Center Xi'an University of Posts and Telecommunications SOA Key Laboratory for Polar Science Polar Research Institute of China Life Sciences Research Center School of Life Sciences and TechnologyXidian University

The analysis and exploration of auroral dynamics are very significant for studying auroral mechanisms. This paper proposes a method based on auroral dynamic processes for detecting auroral events automatically. We first obtained the motion fields using the multiscale fluid flow estimator. Then, the auroral video frame sequence was represented by the spatiotemporal statistics of local motion vectors. Finally, automatic auroral event detection was achieved. The experimental results show that our methods could detect the required auroral events effectively and accurately, and that the detections were independent on any specific auroral event. The proposed method makes it feasible to statistically analyze a large number of continuous observations based on the auroral dynamic process.

关键词： automatic detection auroral event fluid flow

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Application layer FEC with long time interleaver and fast tune-in for mobile satellite TV services

Application layer FEC with long time interleaver and fast tu...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Valentina Pullano Cornelius Hellge Manuel Hensel Giovanni E. Corazza Thomas Schicrl Department of Electronics Computer Science and Systems University of Bologna Bologna Italy Image Processing Department Fraunhofer HHI Multimedia Communications Group Berlin Germany Multimedia Communications Group Image Processing Department Fraunhofer HHI Berlin Germany Image Communication Laboratory Berlin Institute of Technology Berlin Germany

Satellite distribution provides a cost-efficient way to expand the coverage of mobile networks to rural areas. However, to become widely accepted by users and content providers, mobile satellite services need to provide a Quality of Experience (QoE) comparable to that of mobile video services provided in cellular networks. Mobile reception by satellite is characterized by shadowing periods where the Line-Of-Sight (LoS) is lost. The only way to overcome these outage periods is to provide the means for implementing long time interleaving. Nonetheless, existing approaches for long time interleaving come at the cost of a long service tune-in time, which may last in the satellite case up to several seconds. The present work aims at demonstrating the achievable performance using an innovative approach based on the use of long time interleaving and fast service tune-in by means of application-layer forward error correction (AL-FEC), Scalable Video Coding (SVC) and unequal time interleaving. Within this work we show the performance of the novel approach in the satellite context comparing it to existing solutions.

关键词： Forward error correction Mobile communication Satellites Static VAr compensators Decoding Satellite broadcasting Media

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Fuzzy Logic in Classification of Radio Communication signals

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通讯和计算机（中英文版） 2013年第2期10卷 207-213页

作者： Zuzana Didekova Beata Mikovicova Institute of Control and Industrial Informatics Faculty of Electrical Engineering and Information Technology Slovak Universityof Technology (FEI STU) in Bratislava Bratislava 81219 SlovaMa Laboratory of Computer Science Signal and lmage Processing Electronics and Telecommunications Institute SuperiorElectronic of Paris (ISEP) Paris 75006 France.

Characterization of radio communication signals aims at automatic recognition of different characteristics of radio signals in order to detect their modulation type, the central frequency, and the level. The authors" purpose is to apply techniques used in image processing in order to extract pertinent characteristics. To the single analysis (recognition of membership of certain frequency signal to a radio communication using its characteristics), the authors add several rules for checking the consistency of hypotheses using fuzzy logic. This allows taking into account ambiguity and uncertainty that may remain after the extraction of individual characteristics. The task has been realized in MATLAB. The aim is to improve the process of radio communications characterization.

关键词：通信信号模糊逻辑无线电分类 MATLAB 中心频率信号特征无线通信

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Relationship exploration among PPI, ATGP and VCA via theoretical analysis

Relationship exploration among PPI, ATGP and VCA via theoret...

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作者： Chang, Chein-I. Wen, Chia-Hsien Wu, Chao-Cheng Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory University of Maryland 1000 Hilltop Circle Baltimore MD 21250 United States Department of Computer Science and Information Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University 200 Taiwan Boulevard Shalu Dist. Taichung City 43301 Taiwan Department of Electrical Engineering National Taipei University of Technology 1 Zhongxiao E. Rd. Taipei 106 Taiwan

The principle of orthogonality using orthogonal projection (OP) is the key concept to develop mean squared error estimation theory in signal processing and communications. It has also found its way in a wide variety of applications in hyperspectral imaging. This paper explores close relationships among three OP-based algorithms, pixel purity index (PPI), vertex component analysis (VCA) in endmember extraction, automatic target generation process (ATGP) in mixed pixel classification and target detection, etc. and further shows that they indeed can be interpreted one way or another. Specifically, VCA and ATGP are essentially the same algorithm in the sense that they both extract targets via maximal OP from a nested sequence of successive orthogonal subspace projection spaces. Copyright © 2013 Inderscience Enterprises Ltd. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Hyperspectral imaging

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Nitrogen vertical distribution by canopy reflectance spectrum in winter wheat

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IOP Conference Series: Earth and Environmental science 2014年第1期17卷

作者： W J Huang Q Y Yang D L Peng L S Huang D Y Zhang G J Yang Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 Anhui China Beijing Agriculture Information Technology Research Center Beijing 100097 China

Nitrogen is a key factor for plant photosynthesis, ecosystem productivity and leaf respiration. Under the condition of nitrogen deficiency, the crop shows the nitrogen deficiency symptoms in the bottom leaves, while excessive nitrogen will affect the upper layer leaves first. Thus, timely measurement of vertical distribution of foliage nitrogen content is critical for growth diagnosis, crop management and reducing environmental impact. This study presents a method using bi-directional reflectance difference function (BRDF) data to invert foliage nitrogen vertical distribution. We developed upper-layer nitrogen inversion index (ULNI), middle-layer nitrogen inversion index (MLNI) and bottom-layer nitrogen inversion index (BLNI) to reflect foliage nitrogen inversion at upper layer, middle layer and bottom layer, respectively. Both ULNI and MLNI were made by the value of the ratio of Modified Chlorophyll Absorption Ration Index to the second Modified Triangular Vegetation Index (MCARI/MTVI2) referred to as canopy nitrogen inversion index (CNII) in this study at ±40° and ±50°, and at ±30° and ±40° view angles, respectively. The BLNI was composed by the value of nitrogen reflectance index (NRI) at ±20° and ±30° view angles. These results suggest that it is feasible to measure foliage nitrogen vertical-layer distribution in a large scale by remote sensing.

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Continuous localization using sparsity constraints for high-density super-resolution microscopy

Continuous localization using sparsity constraints for high-...

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IEEE International Symposium on Biomedical Imaging

作者： Junhong Min Cédric Vonesch Nicolas Olivier Hagai Kirshner Suliana Manley Jong Chul Ye Michael Unser Bio-Imaging & Signal Processing Lab Korea Advanced Institute of Science and Technology South Korea Biomedical Imaging Group EPFL Switzerland Laboratory of Experimental Biophysics EPFL Switzerland

ISBN: (纸本)9781467364560

Super-resolution localization microscopy relies on sparse activation of photo-switchable probes. Such activation, however, introduces limited temporal resolution. High-density imaging overcomes this limitation by allowing several neighboring probes to be activated simultaneously. In this work, we propose an algorithm that incorporates a continuous-domain sparsity prior into the high-density localization problem. We use a Taylor approximation of the PSF, and rely on a fast proximal gradient optimization procedure. Unlike currently available methods that use discrete-domain sparsity priors, our approach does not restrict the estimated locations to a pre-defined sampling grid. Experimental results of simulated and real data demonstrate significant improvement over these methods in terms of accuracy, molecular identification and computational complexity.

关键词： image resolution Microscopy Noise Accuracy image reconstruction Storms

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Mo1503 Narrow Band Imaging and High-Magnification Endoscopy (NBI-Hme) for Gastric Lesions Differentiation and Histology Prediction

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Gastrointestinal Endoscopy 2014年第5期79卷 AB461-AB461页

作者： Roman Kuvaev Evgeny Nikonov Sergey V. Kashin Herbert Edelsbrunner Viktor Kapranov Michael Machin OLGA a. Dunaeva Endoscopy Yaroslavl Regional Cancer Hospital Yaroslavl Russian Federation Administration Polyclinic No.1 of the Buisness Administration for the President of the Russian Federation Moscow Russian Federation Institute of Science and Technology Austria (IST Austria) Klosterneuburg Austria Department of the University Internet Centre Demidov Yaroslavl State University Yaroslavl Russian Federation Digital Signal and Image Processing Laboratory Demidov Yaroslavl State University Yaroslavl Russian Federation

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Pilot Anaerobic Plant's Description,Modeling and Output Feedback Control

Pilot Anaerobic Plant's Description,Modeling and Output Feed...

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第三十二届中国控制会议

作者： Wang Haoping Tian Yang Boyko Kalchev Ivan Simeonov Nicolai Christov Sino-French Joint Laboratory of Automation and Signal Processing School of AutomationNanjing University of Science and Technology Stephan Angeloff Institute of Microbiology Bulgarian Academy of Sciences LAGIS-CNRS UMR 8219 Lille University of Science and Technology

ISBN: (纸本)9781479900305

This paper deals with the description,mathematical modeling and recursive output feedback control of a pilot anaerobic *** on experimental results obtained during the start-up and operating of a pilot bioreactor,a five-order continuoustime anaerobic digestion model is *** output trajectory- tracking and disturbance compensation for the bioprocess model are realized using a new composed recursive controller comprising a recursive model free stabilization term and a recursive time delay compensation *** performances of the new bioprocess controller are compared by numerical simulation with the performances of an existing nonlinear proportional-integral controller.

关键词： Anaerobic digestion process Composed recursive controller Piecewise continuous systems

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The impact of stock-dependent demand on supply chain dynamics

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Applied Mathematical Modelling 2013年第18-19期37卷 8348-8362页

作者： Yongchang Wei Hongwei Wang Chao Qi Institute of Systems Engineering and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Wuhan 430074 PR China School of Business Administration Zhongnan University of Economics and Law Wuhan 430073 PR China

This paper presents an investigation on the dynamics of a supply chain system under stock-dependent demand. Considering the feature of piecewise linearity, a switched linear model composed of three subsystems is developed. Based on the switched model, some analytical stability results are derived. Simulation experiments are designed to verify the stability results and observe nonlinear dynamics. We show that stock-dependent demand not only leads to different stability results but also makes nonlinear dynamics more complicated. We also reveal that the nonlinear dynamics of the switched model, such as chaotic and periodic fluctuations of inventory and order, are essentially caused by switching frequently among subsystems due to uncertainties of inventory status. The results obtained in this paper help us understand the dynamic complexities of supply chain system and provide guidelines for selecting decision parameters to improve overall performance.

关键词： Supply chain system Stock-dependent demand Dynamics Switched system Modeling and simulation

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