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IEEE International Symposium on Electromagnetic Compatibility (EMC-Beijing)

作者： XiaXia Zeng Fanyong Cheng Wenzhong Lin Haibo Luo Zhiqiang Ruan Fujian provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University) Fuzhou China

Optical Music Recognition (OMR) has received increasing attention in recent years. In this paper, we adopt the descriptor of Locality-constrained Linear Coding (LLC) and Double Distribution Support Vector Machine (DDSVM) to address music symbol classification in OMR. LLC can obtain stronger feature representation ability compared with original music symbol. Recently, DDSVM is presented to obtain stronger robustness and generalization performance. Therefore, DDSVM is adopted to improve the classification performance in OMR. Moreover, One Versus Rest Double Distribution Support Vector Machine (OVR-DDSVM) is proposed for multi-class music symbol classification. OVR-DDSVM can obtain high accuracy only using linear kernel due to LLC descriptor, and this speeds the classification process. OVR-DDSVM is tested on more than 10000 music symbol images of 20 classes, and experimental results verify the superiority of LLC+DDSVM to other algorithms.

关键词： Support vector machines Feature extraction Robustness Music Encoding Histograms information processing

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Dense dilated network with probability regularized walk for vessel detection

arXiv

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arXiv 2019年

作者： Mou, Lei Chen, Li Cheng, Jun Gu, Zaiwang Zhao, Yitian Liu, Jiang School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan430081 China Cixi Institute of Biomedical Engineering Chinese Academy of Sciences Zhejiang315201 China UBTech Research UBTech Robotics Corp Ltd Guangdong518055 China Department of Computer Science and Engineering Southern University of Science and Technology Guangdong518055 China Cixi Institute of Biomedical Engineering Ningbo Institute of Industrial Technology Chinese Academy of Sciences Zhejiang315201 China

The detection of retinal vessel is of great importance in the diagnosis and treatment of many ocular diseases. Many methods have been proposed for vessel detection. However, most of the algorithms neglect the connectivity of the vessels, which plays an important role in the diagnosis. In this paper, we propose a novel method for retinal vessel detection. The proposed method includes a dense dilated network to get an initial detection of the vessels and a probability regularized walk algorithm to address the fracture issue in the initial detection. The dense dilated network integrates newly proposed dense dilated feature extraction blocks into an encoder-decoder structure to extract and accumulate features at different scales. A multi-scale Dice loss function is adopted to train the network. To improve the connectivity of the segmented vessels, we also introduce a probability regularized walk algorithm to connect the broken vessels. The proposed method has been applied on three public data sets: DRIVE, STARE and CHASE_DB1. The results show that the proposed method outperforms the state-of-the-art methods in accuracy, sensitivity, specificity and also area under receiver operating characteristic curve. Copyright © 2019, The Authors. All rights reserved.

关键词： Diagnosis

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Robust Output Synchronization of Lower Triangular Multi-Agents Via Sampled-Data control

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IFAC-PapersOnLine 2017年第1期50卷 2415-2420页

作者： Chen X. Zhu L. Chai L. Zhang H.-T. School of Information Science and Engineering Wuhan University of Science and Technology Wuhan 430081 China Department of Electric and Electronic Engineering University of Hong Kong Hong Kong Key Laboratory of Image Processing and Intelligent Control School of Automation and the State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China

This paper establishes a general sampled-data framework for robust output synchronization of nonlinear heterogeneous multi-agent system in the lower-triangular form. Inspired by our previous work, this problem can be solved in a two-step manner: (1) sampled-data perturbed consensus, and (2) sampled-data perturbed output regulation. These two steps are coupled by a small gain condition which must be satisfied to ensure the robust output synchronization is achieved. We will first show that the sampling conditions on accomplishing sampled-data perturbed consensus and perturbed output regulation separately. In addition, we strengthen our previous small gain condition to incorporate the sampling effort. The sampled-data synchronization controller can be designed provided that the sampling condition satisfies some additional condition. © 2017

关键词： Multi-agent systems Nonlinear systems Output regulation Sampled-data Synchronization

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Enhanced Adaptive Equalization for MIMO Underwater Acoustic Communications

Enhanced Adaptive Equalization for MIMO Underwater Acoustic ...

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Oceans (Conference)

作者： Jun Tao Liang An Yahong Rosa Zheng Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University Nanjing China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai China Missouri University of Science and Technology Rolla MO US

ISBN: (纸本)9781509064298;9780692946909

An enhanced normalized least mean squares (NLMS) adaptive equalization scheme is proposed for single-carrier underwater acoustic (UWA) communications. The enhancement is achieved via two techniques: the sparse adaptation (SA) technique and the data reuse (DR) technique. The SA technique speeds up the convergence and improves the performance of the adaptive equalization, by taking advantage of the inherent sparsity of the equalizer. It is implemented as the selective zero-attracting NLMS (SZA-NLMS) algorithm, developed by introducing a range of attraction for the existing zero-attracting NLMS (ZA-NLMS) algorithm. Compared with the ZA-NLMS, the SZA-NLMS incurs a lower complexity and achieves a better performance. The DR technique effectively prolongs the training length and significantly reduces the training overhead. Attributed to the DR technique, a high transmission efficiency is achieved even for a block transmission. The proposed adaptive equalization is verified by the real data collected in an atsea multiple-input multiple-output (MIMO) underwater acoustic communication trial. The experimental results show it considerably outperforms the standard NLMS adaptive equalization, especially with a low DR number.

关键词： Adaptive equalizers MIMO communication Training Underwater acoustics Standards Phase locked loops

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predictive control with probability constraints for linear stochastic systems

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IET control Theory & Applications 2017年第4期11卷 557-566页

作者： Jiwei Li Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Shanghai 200240 People's Republic of China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 People's Republic of China

This study develops stochastic model predictive control that guarantees the recursive feasibility of the closed-loop performance. Multi-step sets with scaling parameters are proposed to contain the uncertain system trajectory. Meanwhile, by extending the probabilistic invariance to disturbed stochastic systems, we formulate probabilistic constraints as linear matrix inequalities. We show that the introduced scaling parameters enhance the feasibility of predictive control and reduce the conservatism of the constraint satisfaction. The designed control algorithm is recursively feasible and stabilises the system in the mean-square sense. A simplified algorithm further reduces much computational burden and makes the proposed approach more practical.

关键词： H∞ control predictive control linear systems stochastic systems closed loop systems probability linear matrix inequalities linear matrix inequalities disturbed stochastic systems probabilistic invariance multistep sets closed-loop H∞ performance stochastic model predictive control linear stochastic systems probability constraints H∞ predictive control

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Modelling Transcriptional Regulation with Fractional Order Differential Equation using Gaussian Process 35

Modelling Transcriptional Regulation with Fractional Order D...

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第35届中国控制会议

作者： JI Ruirui ZHANG Xinxin YAN Xiaomei School of Automation and Information Engineering Xi'an University of Technology Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

A reasonable math model is fundamental to describing gene regulatory mechanism.A new method is proposed to model transcriptional regulation with transcription factor from gene expression profiles using fractional order differential *** Process is employed as a tool to model the latent transcription factor activity and particle swarm optimization algorithm is utilized to optimize the fractional order,kinetic parameters in the model and hyperparameters in kernel *** results of the experiment on real gene expression profiles indicate that the fractional order differential equation fits data better,also the proposed approach is feasible to model transcriptional regulation.

关键词： Transcriptional regulation Fractional order differential equation Gaussian Process Particle swarm optimization

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A Detection Model of Granary Storage Quantity Based on Deep Learning

A Detection Model of Granary Storage Quantity Based on Deep ...

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2017 International Conference on Material Science,Energy and Environmental Engineering(MSEEE 2017)

作者： Xin Zhang Dexian Zhang School of Information Science and Engineering Henan University of Technology Grain Information Processing and Control Key Laboratory of Ministry of Education

ISBN: (纸本)9781510847002

According to the special significance of grain and all the detection methods of granary storage quantity, this paper select detection methods of granary storage quantity based on pressure sensors figured with high universality, practicability and reliability, analyze them and put forward a improved version of detection method based on deep *** paper then analyze its feasibility and introduce its implementation method and finally summarize the advantage of deep learning in detection methods of granary storage quantity.

关键词： Storage Quantity Monitoring Pressure Sensor Deep Learning Advantage

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An improved adaptive weighted median filter algorithm

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Journal of Physics: Conference Series 2019年第4期1187卷

作者： Yuqin Song Jun Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430081 P. R. China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan 430081 P. R. China

An improved adaptive weighted median filtering method is proposed to deal with the interference noise of ultrasonic RF signal. Firstly, edge pixel points are determined to be filtered by the method of extending edge points; secondly, mean value is used to replace the median value which considered to be noise points; finally, weighted smoothing processing is carried out. The final experimental results in this paper show that the proposed method has better effect on RF signal processing.

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A novel proposal of Gaofen-3 satellite constellation for multi-applications

A novel proposal of Gaofen-3 satellite constellation for mul...

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ISPRS Geospatial Week 2017

作者： Qiu, Xiaolan Ding, Chibiao Lei, Bin Han, Bing Li, Fangfang Key Laboratory of Geo-Spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Institute of Electronics Chinese Academy of Sciences Suzhou Research Center Suzhou China Institute of Electronics Chinese Academy of Sciences Beijing China

Gaofen-3 is the first C-band fully polarimetric SAR satellite in China, which is widely used in various fields such as ocean monitoring, disaster reduction and so on. In this paper, a new satellite constellation is proposed based on the orbit of Gaofen-3 satellite. The constellation includes Gaofen-3 and other two duplicates. It is able to do repeat-pass interferometry, repeat-pass differential interferometry, along-track interferometry and stereo measurement. With these abilities, it can generate the earth DEM without ground control points and have better performance in moving target identification and monitoring. The performance and the system requirements are analysed, which provides a good reference for the design of spaceborne SAR constellation.

关键词： Synthetic aperture radar

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Gap Metric based Offline Multiple Model Predictive control 35

Gap Metric based Offline Multiple Model Predictive Control

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第35届中国控制会议

作者： LI Dewen TAO Xiangyuan LI Ning LI Shaoyuan Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai Jiao Tong University

ISBN: (纸本)9781509009107

Multiple Model Predictive control（MMPC） method is an efficient strategy to deal with the strongly nonlinear system with a large operating *** sub-model selection and time-consuming online calculation are two practical problems for MMPC *** paper develops an offline multiple model predictive control method to solve such ***,we utilize the gap metric to measure the difference between two linear models and present a neighborhood estimation *** a class of linear models is established to approximate the nonlinear *** on the robust constrained MPC algorithm,we design a local off-line model predictive controller for each *** the offline part,a sequence of discrete states is chosen and the corresponding feedback gains are *** the online part,the control law is easily acquired by selecting the gain according to the current *** offline approach can reduce the online computation burden and be suitable for the fast time-varying *** that,a switching rule between each sub-model is proposed to guarantee the global ***,the presented procedure is illustrated with the simulation example of a continuous stirred-tank reactor（CSTR）.

关键词： Offline multiple model predictive control Gap metric Constrained MPC Switching stability

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