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Simultaneous measurement of refractive index, temperature and strain based on core diameter mismatch and polarization-maintaining FBG

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Optoelectronics Letters 2013年第3期9卷 238-240页

作者：童峥嵘王洁玉张卫华曹晔 Key Laboratory of Film Electronics and Communication Devices and Key Laboratory of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology

A kind of fiber-optic sensor for simultaneous measurement of refractive index of surrounding medium, temperature and strain is described. Based on core diameter mismatch, a multimode-single mode-multimode (MSM) structure is presented. It is demonstrated that the three parameters can be measured respectively by the interference of the core mode and cladding modes excited in the single mode fiber (SMF). Then combined with a polarization-maintaining fiber Bragg grating (PMFBG) which has different sensing properties from MSM structure, three parameters are measured simultaneously. The experimental results show that PMFBG is insensitive to the refractive index and the refractive index sensitivity of the MSM structure is 96.04 nm·RIU^(-1); the temperature sensitivities of the characteristic wavelength for MSM structure and the center wavelengths of fast and slow axes for PMFBG are 0.0911 nm °C^(-1), 0.00976 nm °C^(-1) and 0.0105 nm °C^(-1), respectively; the strain sensitivities of those are -0.013 nm με^(-1), 0.012 nm με^(-1) and 0.012 nm με^(-1), respectively.

关键词：温度敏感性应变灵敏度同时测量折射率不匹配光纤光栅直径 MSM结构

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Research of deep packet inspection system based on the MapReduce

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Journal of Computational Information Systems 2013年第7期9卷 2587-2594页

作者： Wang, Jinsong Wei, Jun Lin, Sheng Huang, Wei Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China

In this paper, we propose a deep packet inspection system based on the MapReduce. The MapReduce which is a parallel distributed programming model developed by Google applies the technology of deep packet inspection. Network protocol analysis technique is invoked to realize detect, effectively reducing the packet number to be matched. Furthermore, cache technology is adopted to store attack signature from database in order to reduce the frequency of reading the rules from library file which improved the detection efficiency. Experimental results show that effectiveness of the proposed system with the high-speed network traffic. Copyright © 2013 Binary Information Press.

关键词： MapReduce

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Abnormal network traffic detection approach based on alive entropy

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Tongxin Xuebao/Journal on Communications 2013年第SUPPL.2期34卷 51-57页

作者： Mu, Xiang-Kun Wang, Jin-Song Xue, Yu-Feng Huang, Wei Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China

A novel alive entropy-based detection approach was proposed, which detects the abnormal network traffic based on the values of alive entropies. The alive entropies calculated based on the NetFlow data coming from the network traffic of input and output of a whole system, which is essentially a monitored network. In order to decrease false positive rate of abnormal network traffic, different scales are selected to compute the values of alive entropies in different sizes of network traffic. With the low false positive rate of abnormal network traffic, the abnormal network traffic can be effectively detected. Experiments carried out on a real campus network were used to evaluate the effectiveness of the proposed approach. A comparative study illustrates that the proposed approach may easily detect the abnormal network traffic with random characteristics in comparison with some "conventional" approaches reported in the literatures.

关键词： Entropy

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Design of Robot Lawn Mower based on Computer Vision

Design of Robot Lawn Mower based on Computer Vision

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The 2013 2nd International Symposium on Manufacturing Systems Engineering(ISMSE 2013)

作者： Fayu Wang Zhenli Gao Hongyu Yin Key Laboratory of Computer Vision and System(TUT) Ministry of Education Tianjin University of Technology Tianjin Key Lab of Intelligent Computing & Novel Software Technology Tianjin University of Technology

In this paper, we introduce a new research about mowing robot on obstacle avoidance and path tracking controlling theoretically and practically, and propose the mowing control method which based on computer visionLawn images collected by camera, through the extraction of programming dealing with lawn, obstacles and boundary characteristics to achieve edge separationThrough special processing algorithm to determine boundary arises and obstacles location, size and speed of the robot, with real-time capturing and processingThis paper gives the complete image recognition processing, and analyzes several methods of image filtering and edge detection, and proposes simple control algorithm for obstacle avoidance, and applies MATLAB for obstacle avoidance simulationThe results show that: the method can correctly identify the obstacles and boundaries, through the output about location, size of the obstacles and boundary, border slope and speed of the robot to control robot mowerMost importantly, that computer vision applying in the mowing robot itself is an innovation.

关键词： Lawn Mower Obstacle avoidance controlling Computer vision Image processing

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ECG signal feature selection for emotion recognition

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第3期11卷 1363-1370页

作者： Xun, Lichen Zheng, Gang Key Laboratory of Tianjin Intelligent Computing and Software Technologies Tianjin University of Technology Tianjin China Department of Computer and Communication Engineering Tianjin University of Technology Tianjin 300384 China

This paper aims to study the selection of features based on ECG in emotion recognition. In the process of features selection, we start from existing feature selection algorithm, and pay special attention to some of the intuitive value on ECG waveform as well. Through the use of ANOVA and heuristic search, we picked out the different features to distinguish joy and pleasure these two emotions, then we combine this with pathological analysis of ECG signals by the view of the medical experts to discuss the logic corresponding relation between ECG waveform and emotion distinguish. Through experiment, using the method in this paper we only picked out five features and reached 92% of accuracy rate in the recognition of joy and pleasure. © 2013 Universitas Ahmad Dahlan.

关键词： Electrocardiography

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A search ranking algorithm based on user preferences

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Journal of Computational Information Systems 2012年第21期8卷 8969-8976页

作者： Zhao, Dexin Zhang, Meizhen Zhang, Degan Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

To investigate search ranking method for providing good service to users, the original PageRank algorithm model was studied to describe the hyperlink relationship based on Web pages. It was computed with a single vector using the hyperlink structure to improve the ranking of search query results. However, more and more topics are being discussed on the Web and the vocabulary of users remains relatively stable, the search engine usually returns the same results to users who enter the same keyword, which might not be related to each user's preference. A new method named UPPM based on user preferences was proposed. It was supposed to optimize initial query with user's query logs that including his click history and feedback, and the search results were reordered for particular user's need with updated query. The experiment shows that the new method can understand user's search subject behind his query and improve ordering of top results in the real Web search. © 2012 Binary Information Press.

关键词： Websites

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Pulse waveform key point recognition by wavelet transform for central aortic blood pressure estimation

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Journal of Information and Computational Science 2012年第1期9卷 25-33页

作者： Zheng, Gang Huang, Qingjun Yan, Guodong Dai, Min Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Laboratory of Bio Signal and Intelligent Processing Tianjin University of Technology Tianjin 300384 China

Non invasion estimating of Central Aortic blood Pressure (CAP) is still a hard problem. Through tenyears clinical research plan (CAFE, Conduit Artery Functional Endpoint) on CAP, CAP is a vital sign to evaluate human's vascular condition. It is more valuable than ordinary brachial artery blood pressure. Non invasion estimating of CAP is depended on the key point recognition of radial pulse, especially the peak of tidal wave (left ventricular stopping ejection point, point e). Since someone's point e is not obvious in his/her pulse waveform, orientation of this point has becoming a difficult problem to be tackled. Through deep study on the feature of pulse waveform, an modified wavelet transform is proposed. It is used to recognize point e of pulse waveform by relative displacement between the 4th and 5th scale of a symlet (it is a kind of discrete wavelet transform). After experiments on 16 patients and 20 healthy volunteers, the results support the proposed strategy in recognizing both obvious and unobvious point e of pulse waveform. The CAP can be estimated by the point e accurately, and the results can meet the requirement of clinical diagnosis. © 2012 Binary Information Press January 2012.

关键词： Clinical research

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Research on fractional order controller based on best rational approximation approach

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Journal of Convergence Information technology 2012年第4期7卷 50-58页

作者： Zhao, Huimin Nie, Bing Li, Wen Deng, Wu Software Institute Dalian Jiaotong University Dalian 116028 China Key Laboratory of Numerical Simulation in the Sichuan Provincial College Neijiang Normal University Neijiang 641112 China Artificial Intelligence Key Laboratory of Sichuan Province Sichuan University of Science and Engineering Zigong 643000 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology College of Electrical Engineering Chongqing University Chongqing 400044 China Key Laboratory of advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

Introduce the basic concept of best rational approximation and constructing procedure of the best rational approximation function in Laplace domain. By an illustrative example the design method of FOC based on best rational approximation is discussed. The performance comparison of transfer functions between the FOC obtained by best rational approximation method and conventional PID shows that it is effective to apply the method in design of FOC, which can guarantee maximum absolute error of amplitude frequency characteristic of approximation function in a given error tolerance.

关键词： Rational functions

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

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作者： Dai, Min Hu, Su-Rui Qi, Jia Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the most serious problems in the spike sorting for multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapping signals and separate spikes within the same RBF network. A modified radial basis function based on the Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulated data coming from the University of Leicester and Wave-clus software. Experiment results show that our method successfully solves the fully overlapping problem and has higher accuracy comparing with the Gaussian function. © 2011 Elsevier Ltd. All rights reserved.

关键词： Radial basis function networks

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Optical Flow with Harmonic Constraint and Oriented Smoothness

Optical Flow with Harmonic Constraint and Oriented Smoothnes...

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International Conference on Image and Graphics (ICIG)

作者： Jie Zhao Yuanquan Wang Huaibin Wang Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin China

Computation of the optical flow from a sequence of images remains open in the community of computer vision. Two classical models for this problem are the global smoothness algorithm proposed by Horn-Schunck and the oriented smoothness algorithm by Nagel and Enkelmann. In order to increase the accuracy of motion discontinuity, we propose a new optical flow model which incorporates the harmonic smoothness constraint borrowed from the harmonic gradient vector flow (HGVF) model into the oriented smoothness constraint. In particular, we combine the curl term of the harmonic constraint with the oriented smoothness to control the direction of the displacement vectors together and introduce two spatially varying weighting functions to control the above-mentioned two terms. The benefit of the suggested strategies is illustrated qualitatively on the synthetical image and quantitatively on the Middlebury optical flow benchmark. Compared with the classical Horn-Schunck and Nagel-Enkelmann methods, this method can provide more accurate estimation of optical flow around motion discontinuities.

关键词： Computer vision Image motion analysis Optical imaging Harmonic analysis Brightness Equations Adaptive optics

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