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作者： Zhang, Li Sun, Xiaoping Zhuge, Hai Knowledge Grid Lab Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Nanjing University of Posts and Telecommunications Nanjing Jiangsu China State Key Laboratory of Software Engineering Wuhan University Wuhan Hubei China University of Chinese Academy of Sciences Beijing China

As smart phones with GPS become popular, more and more textual documents with geographical locations are published on the Web. keyword-based location services like vehicle navigation, tour planning, nearby object querying, and location pattern discovering of spatial objects are becoming popular and important. However, processing both text and geographical locations brings more challenges to information-retrieval techniques. In this paper, we focus on the problem of finding textual topics of clusters containing spatial objects with text descriptions. The key is how to combine clustering techniques with topic-retrieval models to integrate both geo-location information and text information. We investigated methods that combine clustering methods with the Latent Dirichlet Allocation model to discover topics of clusters of documents with geo-locations. Six different methods of combination are investigated, each having outputs with different meanings, which can be further leveraged to answer different types of queries over spatial documents. Experiments are conducted on both synthetic and real data. The results show that the combination of the probabilistic topic model with clustering algorithms is an efficient and effective way to discover meaningful clusters in different facets and levels of documents with textual and geographical information. © 2015 John Wiley & Sons, Ltd.

关键词： Cluster analysis

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An Efficient Algorithm for Accurate Sensor Data Aggregation

An Efficient Algorithm for Accurate Sensor Data Aggregation

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2015 International Conference on Informatics, Control and Automation(ICA 2015)

作者： Ying-yuan XIAO Xin-rong ZHAO Yan SHEN Hua-feng DENG Ching-hsien HSU Tianjin University of Technology Tianjin Key Lab of Intelligence Computing and Novel Software Tech Jiangxi Normal University "Chung Hua University"

Wireless sensor networks have received considerable attention in many applications. The widely used multipath routing-based aggregation in wireless sensor networks typically suffers from the problem of duplicates. In this paper, we proposed FL algorithm to deal with the problem. The main idea of FL algorithm is to use sketch to represent the reading and transform the sensitive aggregation into insensitive aggregation. FL algorithm integrates FM-sketch and LC-sketch to compute the approximate aggregation results which satisfy the accuracy requirements. In order to verify the performance of the proposed algorithm, we implement extensive experiments through the simulation software. The results show that the proposed algorithm is feasible and effective.

关键词： Wireless sensor network Data aggregation Duplicate

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MR image denoising method for brain surface 3D modeling

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Optoelectronics Letters 2014年第6期10卷 477-480页

作者：赵德新刘朋杰张德干 Tianjin Key Laboratory of Intelligent Computing & Novel Software Technology Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology

Three-dimensional(3D) modeling of medical images is a critical part of surgical simulation. In this paper, we focus on the magnetic resonance(MR) images denoising for brain modeling reconstruction, and exploit a practical solution. We attempt to remove the noise existing in the MR imaging signal and preserve the image characteristics. A wavelet-based adaptive curve shrinkage function is presented in spherical coordinates system. The comparative experiments show that the denoising method can preserve better image details and enhance the coefficients of contours. Using these denoised images, the brain 3D visualization is given through surface triangle mesh model, which demonstrates the effectiveness of the proposed method.

关键词： Magnetic resonance Magnetic resonance imaging Medical imaging Three dimensional computer graphics Wavelet analysis

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A method for brain 3D surface reconstruction from MR images

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Optoelectronics Letters 2014年第5期10卷 383-386页

作者：赵德新 Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology Key Laboratory of Computer Vision and SystemMinistry of EducationTianjin University of Technology

Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic reso- nance （MR） images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is pro- posed foi＂ surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.

关键词： Heuristic algorithms Magnetic resonance imaging Mesh generation Surface reconstruction Three dimensional computer graphics

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An Online Incremental Learning Algorithm For Time Series

An Online Incremental Learning Algorithm For Time Series

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International Joint Conference on Neural Networks

作者： Haoran Xu Youlu Xing Furao Shen Jinxi Zhao Robotic Intelligence and Neural Computing Laboratory (http://***/rinc/RINC.Lab) National Key Laboratory for Novel Software Technology Nanjing University China

ISBN: (纸本)9781479919611

Mining time series data has been revived in the last decade due to the increasing availability of time series datasets. This paper presents an online incremental learning algorithm for time series based on the self-organizing incremental neural network (SOINN) and fast dynamic time warping (FastDTW), referred to as OILFTS. The proposed method OILFTS adopts FastDTW distance as the similarity measure, meeting the requirements of most real-time applications. Moreover, OILFTS achieves online and incremental learning of data series which are of equal or unequal length. We test our method with UCR time series datasets, and experimental results show that, from the respect of classification accuracy, the proposed OILFTS is much better than the state-of-the-art similarity measure approaches and widely investigated kernel-based SVMs.

关键词： SOINN FastDTW OILFTS learning (artificial intelligence) time series datasets time series data Time series similar measure data sequence

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A new wavelet-Laplacian method for arbitrarily-oriented character segmentation in video text lines

A new wavelet-Laplacian method for arbitrarily-oriented char...

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International Conference on Document Analysis and Recognition

作者： Guozhu Liang Palaiahnakote Shivakumara Tong Lu Chew Lim Tan National Key Lab for Novel Software Technology Nanjing University Nanjing China Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Computing National University of Singapore Singapore

ISBN: (纸本)9781479918065

Character segmentation is an important topic to improve the overall performance of text recognition methods due to low resolution, complex background and lots of visual variations in video. This paper presents a novel idea for segmenting characters from arbitrarily-oriented text lines based on wavelet and Laplacian combination. Firstly, we explore wavelet which decomposes a given input image into sub-levels like a pyramid structure for segmenting words based on the fact that as decomposition level increases, the gap between characters decreases due to the reduction in the size of the input image, which results in a single component for each word. Secondly, for each segmented word, we propose Laplacian wavelet combination in a new way to extract text candidates. Thirdly, we propose horizontal and vertical sampling for character segmentation from words. The proposed method is tested on curved, non-horizontal and horizontal text lines of video and the ICDAR 2005 natural scene dataset to evaluate its performance. A comparative study with an existing method shows that the proposed method outperforms it in terms of precision and f-measure.

关键词： Image segmentation

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Research and implementation of continuous wave radar ranging method based on tri-frequency

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High technology Letters 2014年第2期20卷 111-116页

作者：袁其平 Fan Lijieare Tong Zhengrong Yang Xiufeng Cao Ye School of Electronics Information Engineering Tianjin University of Technology Key Laboratory of Film Electronics and Communication Devices and Key Laboratory of Intelligent Computing and Novel Software Technolgy School of Computer and Communication EngineeringTianjin University of Technology

In the traditional dual-frequency radar ranging system,there is a contradiction between ranging precision and ranging *** a tri-frequency ranging method is *** principle of the tri-frequency ranging is that the distance can be achieved by transmitting the three frequencies and then measuring the three phase difference and calculating the number of ***'s more,range ambiguity will not occur within a certain *** experimental results show that,if the waveband is 0.47 ~0.57 m,the measurement of unambiguous distance of 25 ~500m can be *** the wavelength tolerance error is less than ± 10^(-7) and the phase error is less than ± 10^(-3),the precision of the distance ranging can reach 10^(-6).

关键词： tri-frequency ranging SNR phase error wavelength error

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SATVPC:Secure-agent-based trustworthy virtual private cloud model in open computing environments

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Journal of Central South University 2014年第8期21卷 3186-3196页

作者：徐小龙涂群 BESSIS Nik 杨庚王新珩 College of Computer Nanjing University of Posts and Telecommunications State Key Laboratory for Novel Software Technology (Nanjing University) School of Computing and Mathematics University of Derby Jiangsu High Technology Research Key Lab for WSNs Nanjing University of Posts and Telecommunications School of Computing University of the West of Scotland

Private clouds and public clouds are turning mutually into the open integrated cloud computing environment,which can aggregate and utilize WAN and LAN networks computing,storage,information and other hardware and software resources sufficiently,but also bring a series of security,reliability and credibility *** solve these problems,a novel secure-agent-based trustworthy virtual private cloud model named SATVPC was proposed for the integrated and open cloud computing *** the introduction of secure-agent technology,SATVPC provides an independent,safe and trustworthy computing virtual private platform for multi-tenant *** order to meet the needs of the credibility of SATVPC and mandate the trust relationship between each task execution agent and task executor node suitable for their security policies,a new dynamic composite credibility evaluation mechanism was presented,including the credit index computing algorithm and the credibility differentiation *** experimental system shows that SATVPC and the credibility evaluation mechanism can ensure the security of open computing environments with *** results and performance analysis also show that the credit indexes computing algorithm can evaluate the credibilities of task execution agents and task executor nodes quantitatively,correctly and operationally.

关键词： cloud computing trustworthy computing virtualization agent

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Text detection in born-digital images by mass estimation

Text detection in born-digital images by mass estimation

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Asian Conference on Pattern Recognition (ACPR)

作者： Jiamin Xu Palaiahnakote Shivakumara Tong Lu Chew Lim Tan Michael Blumenstein National Key Lab for Novel Software Technology Nanjing University Nanjing China Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Computing National University of Singapore Griffith University Gold Coast Queensland Australia

ISBN: (纸本)9781479961016

There is a need for effective web-document understanding due to the explosive progress of internet and network technologies. In this paper, we propose a new method for text detection in born-digital images by introducing a mass estimation concept. We propose to explore super-pixel information of different color channels to identify text atoms in images. The proposed method uses similarity graphs and spectral clustering to identify candidate text regions. We propose a new idea of mapping Gabor responses of a candidate text region to a spatial circle to study the spatial coherency of pixels. We introduce a mass estimation concept to identify text candidates from the pixel distribution in a spatial circle. The linear linkage graphs help in grouping text candidates to obtain full text lines. The same Gabor responses are used as features to eliminate false positives with an SVM classifier. We evaluate the proposed method for the testing on standard datasets, such as ICDAR 2013 (challenge-1) and the Situ et al. dataset. Experimental results on both the datasets show that the proposed method outperforms the existing methods.

关键词： Estimation Decision support systems Image color analysis Text recognition Robustness Explosives

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novel synthesis method for image of materials texture

Novel synthesis method for image of materials texture

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2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Peng, Hong-Tao Zhang, De-Gan Song, Xiao-Dong Wang, Xiang Department of Computer CNPC Managers Training Institute Beijing China Tianjin Key Lab of Intelligent Computing and Novel software Technology Tianjin University of Technology China Ministry of Education China

ISBN: (纸本)9783038353287

Most patch-based texture synthesis algorithms using Markov Random Field for composite materials only considers color similarity between the corresponding pixels. The traditional algorithms are lack of adaptability, so the size of patches needs to be defined artificially in advance as the result of blurring of image texture features for composite materials. In order to improve above problems, a new patch-based sampling algorithm for synthesizing textures from an input sample image texture of composite materials is presented in this paper. By using patches of the sample texture as building blocks for image texture synthesis of composite materials, this algorithm makes high-quality texture synthesis for a wide variety of textures ranging regular to stochastic. The method is effective by our experimental results. © (2014) Trans Tech Publications, Switzerland.

关键词： Image texture

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