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第三十四届中国控制会议

作者： QI Jin-peng QI Jie PU Fang GONG Tao School of Information Science and Technology Donghua University Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Informationization Office Donghua University

ISBN: (纸本)9781467374439

To fast detect abrupt change from large-scale time series, we propose an improved method based on the Ternary Search Tree and modified Kolmogorov statistic method(TSTKS, for short). First, two ternary search trees are built by adding a virtual middle branch into existing binary trees;and then the multi-channel detection is implemented from the root to leaf nodes in terms of two search criteria. Simulations show that TSTKS has an encouraging improvement on our previous HWKS method, because of better sensitivity and efficiency than HWKS, especially higher hit rate and accuracy near the middle ***, the results of abrupt change analyses on the real Electromyography(EMG) signals in the CAP sleep datasets suggest that the proposed TSTKS is very helpful for distinguishing the different states of sleep disorders, and it is a quite encouraging method for useful information detection from all kinds of large-scale time series.

关键词： Change Point(CP),time series,Haar Wavelet(HW),Ternary Search Tree(TST),Kolmogorov Statistic(KS)

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The design and optimization of ultra wideband antenna based on particle swarm algorithm

The design and optimization of ultra wideband antenna based ...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Yizhi Wu Xiongbing Wang Yifan Wang Saba Rashid Yongsheng Ding Youtao Zhang Engineering Research Center of Digitized Textile &Fashion Technology Donghua University Shanghai China School of ITEE University of Queensland Brisbane QLD4072 Australia Department of Computer Science University of Pittsburgh Pittsburgh PA U.S.A

To enable effective signal detection of human microwave, it is important to design high performance ultra-wideband wearable antenna. Due to its intrinsic complexity, antenna optimization is a nonlinear problem that is expensive to simulate and optimize. In this paper, we propose to optimize tapered slot antenna (TSA) with an improved particle swarm optimization (PSO) algorithm. Comparing to the state-of-the-art approach that adopts embedded genetic algorithm(GA) in HFSS, our proposed approach requires less than 20% simulation time when the antenna bandwidth ranges from 1.8GHz to 5.0Ghz with gain of 9.8 dB. The optimization results have been adopted to guide the fabrication of the antenna for detecting brain strokes, confirming the feasibility of the proposed algorithm.

关键词： Optimization Microwave antennas Ultra wideband antennas Genetic algorithms Antenna measurements Microwave technology

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Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis

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Robotics and Autonomous Systems 2015年 72卷 83-92页

作者： Yang, Bin Ding, Yongsheng Jin, Yaochu Hao, Kuangrong Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Donghua University Shanghai201620 China College of Information Sciences and Technology Donghua University Shanghai201620 China Department of Computing University of Surrey GuildfordGU2 7XH United Kingdom Department of Mathematics Huaiyin Normal University Huai'an Jiangsu223300 China

Target search and trapping using self-organized swarm robots have received increasing attention in recent years but control design of these systems remains a challenge. In this paper, we propose a decentralized control algorithm of swarm robot for target search and trapping inspired by bacteria chemotaxis. First, a local coordinate system is established according to the initial positions of the robots in the target area. Then the target area is divided into Voronoi cells. After the initialization, swarm robots start performing target search and trapping missions driven by the proposed bacteria chemotaxis algorithm under the guidance of the gradient information defined by the target. Simulation results demonstrate the effectiveness of the algorithm and its robustness to unexpected robot failure. Compared with other commonly used methods for distributed control of swarm robots, our simulation results indicate that the bacteria chemotaxis algorithm exhibits less vulnerability to local optimum, and high computational efficiency. © 2015 Elsevier B.V. All rights reserved.

关键词： Bacteria

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A Hierarchical Link Scheme in Multi-Hop VANETs with Delay Analysis for Congestion Scenario

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Journal of Computer and Communications（电脑和通信） 2016年第8期

作者： Yuanlin Yu Demin Li Guanglin Zhang Xiaolu Zhang College of Information Science and Technology Donghua University Shanghai China Engineering Research of Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai China

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Stochastic synchronization of multi-delays neutral-type neural networks with Markovian switching and Brownian noise 27

Stochastic synchronization of multi-delays neutral-type neur...

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27th Chinese Control and Decision Conference, CCDC 2015

作者： Yang, Xueqing Zhou, Wuneng Yang, Jun Zhou, Jun College of Information Sciences and Technology Donghua University Shanghai China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai China

ISBN: (纸本)9781479970179

In this brief, the problem of stochastic synchronization of multi-delays neutral-type neural networks with Marko-vian switching and Brownian noise is investigated. Firstly, we designed a control law of stochastic synchronization of the multi-delays neural-type neural network. Secondly, using the Lyapunov functional and M-matrix approach, we obtained a criterion under which the drive and response neutral-type multiple time-delays neural networks with Brownian noise and Markovian switching are stochastic synchronization. The synchronization condition is expressed as linear matrix inequality which can be easily solved by Matlab. Finally, Some numerical examples are provided to illustrate the effectiveness of the method and result obtained in this brief. © 2015 IEEE.

关键词： Markovian switching Stochastic synchronization multi-delay neutral-type neural networks

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A mean-shift-based feature descriptor for wide baseline stereo matching

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Mathematical Problems in engineering 2015年第1期2015卷

作者： Dou, Yiwen Hao, Kuangrong Ding, Yongsheng Mao, Min Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education College of Information Science and Technology Donghua University Shanghai201620 China

We propose a novel Mean-Shift-based building approach in wide baseline. Initially, scale-invariance feature transform (SIFT) approach is used to extract relatively stable feature points. As to each matching SIFT feature point, it needs a reasonable neighborhood range so as to choose feature points set. Subsequently, in view of selecting repeatable and high robust feature points, Mean-Shift controls corresponding feature scale. At last, our approach is employed to depth image acquirement in wide baseline and Graph Cut algorithm optimizes disparity information. Compared with the existing methods such as SIFT, speeded up robust feature (SURF), and normalized cross-correlation (NCC), the presented approach has the advantages of higher robustness and accuracy rate. Experimental results on low resolution image and weak feature description in wide baseline confirm the validity of our approach. © 2015 Yiwen Dou et al.

关键词： Graphic methods

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Multiple Model LPV Approach to Identification of Nonlinear Dual-rate System with Random Time Delay

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IFAC-PapersOnLine 2015年第28期48卷 1220-1225页

作者： Chen, Lei Huang, Biao Ding, Yongsheng Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education College of Information Sciences and Technology Donghua University Shanghai201620 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada

This paper deals with the problem of nonlinear dual-rate system identification with random time delay. The proposed approach adopts the multiple modeling framework, and the global LPV model is represented by a combination of various local models weighted by a probability function. The considered structure of the local model is in a state space form, and the process has fast rate inputs and slow rate outputs with random time delay. The expectation maximization algorithm is utilized to formulate and solve the problem of interest. The parameters of the local models and the weighting functions are estimated simultaneously. The particle smoothing technique is adopted to handle the computation of expectation functions. The effectiveness of the proposed approach is further illustrated through a simulation example. © 2015

关键词： Time delay Identification (control systems) Image segmentation Maximum principle Religious buildings State space methods Timing circuits Dual rate systems Expectation maximization algorithms Nonlinear process Probability functions Random time delay Simulation example Smoothing techniques Weighting functions

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MPSICA: An intelligent routing recovery scheme for heterogeneous wireless sensor networks

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Information Sciences 2015年 308卷 49-60页

作者： Ding, Yongsheng Hu, Yifan Hao, Kuangrong Cheng, Lijun Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Donghua University Shanghai 201620 China College of Information Sciences and Technology Donghua University Shanghai 201620 China Shandong Computer Science Center (National Supercomputer Center in Jinan) Jinan 250014 China Shandong Provincial Key Laboratory of Computer Network Jinan 250014 China

To address the fault-tolerant recovery problem in a heterogeneous wireless sensor network consisting of several resource-rich supernodes, and a large number of energy-constrained ordinary sensor nodes, we propose a multi-particle-swarm immune cooperative algorithm (MPSICA) to provide intelligent routing recovery scheme. The MPSICA could maintain K disjoint paths from each source node to the nearest supernode and the available path from supernodes to the sink. Moreover, it could investigate the optimal alternative routing strategies, and solve the problem with cloning, high-frequency mutation, clone selection operations, which can improve the fault tolerant ability and reliability of inter-cluster and intra-cluster data transmission. Using this scheme, we can efficiently repair the broken path of intercluster supernodes or intracluster ordinary nodes network. Finally, we discuss the implementation of the MPSICA based fault-tolerant routing protocol and present the performance evaluation through experiments. The simulation results have verified that the MPSICA based protocol can provide reliable communication with intelligent bio-heuristic routing recovery scheme, thus extend the lifetime of WSNs. © 2015 Elsevier Inc. All rights reserved.

关键词： Heterogeneous sensor networks Immune cooperation Master-slave swarm Routing recovery

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Adaptive bidirectional relay selection and optimal power allocation of cognitive networks

Adaptive bidirectional relay selection and optimal power all...

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International Conference on Future Communication, Information and Computer Science, FCICS 2014

作者： Jiang, J.L. Qiu, R.H. College of Information Sciences and Technology Donghua University Shanghai China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai China

ISBN: (纸本)9781138026537

In order to improve the average total rate of secondary users, this paper proposes a new Bidirectional Relay Selection scheme. Under the consideration of the joint relay node and the bidirectional relay link transmission characteristics, this paper is also considering the direct link transmission characteristics. When the direct link transmission characteristics are superior to relay channel, it does not use the relay transmission. According to the channel Condition, it will choose the right way to form an Adaptive Bidirectional Relay Selection scheme (ABRS). On the basis of the primary user restrictions, this paper proposes a strategy of the Optimal Power Allocation (OPA). Under the basis of maximizing the total rate of one-way links, this paper adds Lagrange factor model to optimize. The simulation results show that the proposed method can significantly improve transmission rate of the secondary users. © 2015 Taylor & Francis Group, London.

关键词： Telecommunication repeaters

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Long-term Visual Tracking Using the PTLD Algorithm

Long-term Visual Tracking Using the PTLD Algorithm

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第26届中国过程控制会议（CPCC2015）

作者： Jian Liu Kuangrong Hao Yongsheng Ding Shiyu Yang College of Information Sciences and Technology Donghua University Engineering Research Center of Digitized Textile & Apparel Technology Ministry of Education

Along with such dangerous sources as big fire, explosion and toxic matter leak in the chemical plants, the visual tracking technology is a simple yet effective solution. As an effective real-time visual target tracking algorithm, the tracking-learning-detection(TLD) has drawn wide attention around the world. In this paper, we propose a prediction-tracking-learning-detection(PTLD) based visual target tracking algorithm, which is obtained by making several improvements based on the original TLD algorithm. The improvements include employing Kalman filter in the detector of TLD for estimating the location of the target to reduce the scanning region of the detector and improve the speed of the detector;adding Markov model based target moving direction predictor in the detector of TLD to increase the discretion for target with similar appearance. In addition to ascending in the tracking speed by increasing the position and speed prediction, we use the spatio-temporal analysis that also greatly improves the tracking precision. Experimental results show that the proposed PTLD algorithm provides a means for robust real-time visual tracking.

关键词： prediction-tracking-learning-detection(PTLD) prediction real-time Spatio-Temporal Analysis

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