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Research of deep packet inspection system based on the MapReduce

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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A scalab.e parallel ray tracing algorithm for satellite imagery

A scalable parallel ray tracing algorithm for satellite imag...

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IEEE International Conference on computer Research and Development

作者： Li, Yu-Gang Zhao, Kun Huang, Yu-Qing Qiu, Zhen-Ge Liu, Zhi-Yong Beijing Lab. of Intelligent Information Technology School of Computer Science BIT Beijing 100081 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100081 China Institute of Computing Technology Chinese Academy Sciences Beijing China

ISBN: (纸本)9781612848372

Ray-tracing, can produce high-quality images, however, the use of ray-tracing has been limited due to its high demands on computational power and memory bandwidth, especially in the case of satellite imagery. In this paper, we propose a scalab.e parallel ray tracing algorithm of satellite imagery on a cluster of multi-core architecture. The algorithm combines demand-driven and data-driven models in order to reduce communication on the cost of maintaining redundant data. In order to make the most of computer's parallelism and increase computational efficiency, it combines two levels of parallelisms, the TLP parallelism brought by the many core architecture and the inter-node parallelism via MPI and OpenMP. Experiment results show that the algorithm is highly scalab.lity. © 2011 IEEE.

关键词： Satellite imagery

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Adversarial Recovery Network for Low-Light Person Re-Identification 23

Adversarial Recovery Network for Low-Light Person Re-Identif...

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6th International Conference on Image and Graphics Processing, ICIGP 2023

作者： Xu, Liu Wang, Xiao Yuan, Xin Mao, Zhu Xu, Xin School of Computer Science and Technology Wuhan University of Science and Technology China School of Computer Science and Technology Wuhan University of Science and Technology ChinaHubei Prov. Key Lab. of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology China

ISBN: (纸本)9781450398572

Person re-identification (re-ID), which is to connect pedestrians with the same identity in different scenarios, has been more widely used in case detection of security. The re-ID datasets and technology have contributed greatly to advancing community research. There are currently no availab.e low-light datasets due to the difficulty of collecting and lab.ling images of people in low-light scenes. As a result, the vast majority of current re-ID methods do not have the recognition capability in low-light scenes. However, the recognition of persons in the low-light surveillance video has become an important issue to be solved for urban security, which plays an important role in improving the crime-solving rate of public safety departments and protecting people's lives and property. In this paper, we propose an Adversarial Recovery Network (ARN) that, unlike other approaches, enables a re-ID model with low-light recognition capability without the need for low-light data. Specifically, we first degrade the original images to generate multi-level low-light images;then obtain recovered images through the adversarial recovery module, and finally input the recovered images into the CNN network to extract pedestrian recognition knowledge. In addition, to validate the effectiveness of the proposed method, we also propose a low-light re-ID dataset (LOLR). Extensive experiments on LOLR have shown that our method outperforms other competitors by a wide margin. The dataset and code are availab.e online at https://***/xl02111/ARN. © 2023 ACM.

关键词： Recovery

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Near-flat self-biased magnetoelectric response in three-phase METGLAS/TERFENOL-D/ PZT laminated composites

Near-flat self-biased magnetoelectric response in three-phas...

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International Conference on Magnetics (INTERMAG)

作者： L. Chen P. Li Y. Wen Y. Zhu Key Lab of Computer Vision and Intelligent Information System Chongqing University of Arts and Sciences ChongQing College of Optoelectronic Engineering Chongqing University ChongQing

In this study, three-phase laminated composite with high-permeability Metglas 2605 S2 (FeSiB) ribbon, giant magnetostrictive material Terfenol-D and Piezoelectric ceramics PZT8 are investigated . The internal magnetic field induced by the differences in magnetic properties of Terfenol-D and Metglas and the stress coupling effect between Terfenol-D and Metglas contributes to the self-biased ME effect with a wide range of dc bias response . The Metglas features with excellent magnetic permeability (10000 at f= 1 kHz) and low coercive field (Hc = 21 .03 Oe), compared with Terfenol-D . The Metglas and Terfenol-D forms a magnetization-graded ferromagnetic layer, which results in a strong internal magnetic bias and leads to a high dynamic piezomagnetic coefficient d33 at zero bias due to the Hdc dependence of the d33 . The dynamic piezomagnetic coefficients d33 for the magnetization-graded ferromagnetic layer Terfenol-D/Metglas as a function of numbers of Metglas layer L at zero bias is measured by Doppler vibrometer. It is found that the Terfenol-D/Metglas exhibits a much larger d33 at zero bias compared to the single layer of Terfenol-D (L=0) . When L=3, the dynamic piezomagnetic coefficient for Terfenol-D/Metglas reaches the maximum value (41 .9 nm/A) at zero bias.

关键词： Amorphous magnetic materials Magnetostriction Magnetoelectric effects Magnetic resonance Magnetic fields Magnetic sensors

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Positional translation language model for ad-hoc information retrieval

Positional translation language model for ad-hoc information...

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18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Tu, Xinhui Luo, Jing Li, Bo He, Tingting Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Department of Computer Science Central China Normal University Wuhan China State Key Lab. of Software Engineering Wuhan University Wuhan China

ISBN: (纸本)9783319066042

Most existing language modeling approaches are based on the term independence hypothesis. To go beyond this assumption, two main directions were investigated. The first one considers the use of the proximity features that capture the degree to which search terms appear close to each other in a document. Another one considers the use of semantic relationships between words. Previous studies have proven that these two types of information, including term proximity features and semantic relationships between words, are both useful to improve retrieval performance. Intuitionally, we can use them in combination to further improve retrieval performance. Based on this idea, this paper propose a positional translation language model to explicitly incorporate both of these two types of information under language modeling framework in a unified way. In the first step, we present a proximity-based method to estimate word-word translation probabilities. Then, we define a translation document model for each position of a document and use these document models to score the document. Experimental results on standard TREC collections show that the proposed model achieves significant improvements over the state-of-the-art models, including positional language model, and translation language models. © 2014 Springer International Publishing.

关键词： information retrieval

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MOEA/D with iterative thresholding algorithm for sparse optimization problems

MOEA/D with iterative thresholding algorithm for sparse opti...

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12th International Conference on Parallel Problem Solving from Nature, PPSN 2012

作者： Li, Hui Su, Xiaolei Xu, Zongben Zhang, Qingfu Institute for Information and System Sciences Key Lab. for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an Shaanxi 710049 China School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ United Kingdom

ISBN: (纸本)9783642329630

Currently, a majority of existing algorithms for sparse optimization problems are based on regularization framework. The main goal of these algorithms is to recover a sparse solution with k non-zero components(called k-sparse). In fact, the sparse optimization problem can also be regarded as a multi-objective optimization problem, which considers the minimization of two objectives (i.e., loss term and penalty term). In this paper, we proposed a revised version of MOEA/D based on iterative thresholding algorithm for sparse optimization. It only aims at finding a local part of trade-off solutions, which should include the k-sparse solution. Some experiments were conducted to verify the effectiveness of MOEA/D for sparse signal recovery in compressive sensing. Our experimental results showed that MOEA/D is capable of identifying the sparsity degree without prior sparsity information. © 2012 Springer-Verlag.

关键词： Multiobjective optimization

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A fractal image coding method combined with compressed sensing algorithm

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu

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Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 2016年第4期 78-83页

作者： Guo, Hui He, Jie Hu, Defa Jiang, Weijin Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University Wuzhou Guangxi China School of Computer and Information Engineering Hunan University of Commerce Changsha Hunan China

Purpose. Since fractal image coding is time-consuming and is prone to causing "blocking artifact", the article aims to combine fractal image coding, wavelet transform and compressed sensing to put forward a method which can shorten the coding time effectively and improve the quality of a reconstructed image. Methodology. The compressed sensing algorithm can quickly compress and highly restore sparse matrixes. The paper made use of this feature to conduct fractal coding for a low-frequency sub-image after wavelet transform, followed by recoding the samples of low-frequency differential sub-graphs and high-frequency sub-images by means of the compressed sensing algorithm for the purpose of compensating the quality of reconstructed images. Findings. Compared to the traditional fractal coding method, the algorithm in the paper (hereinafter referred to as "this Algorithm") can shorten the time considerably and get a maximum speed-up ratio by up to 6.45 times. Compared to the compressed sensing coding method, the quality of the reconstructed images is improved significantly. Originality. The innovation of the paper lies in applying the compressed sensing theory to the fractal coding algorithm to compensate the quality of the reconstructed images obtained by means of fractal coding based on wavelet transform. Practical value. This Algorithm can shorten the coding time on the basis of ensuring the quality of a reconstructed image, and has certain significance for promoting the fractal coding method. © Hui Guo, Jie He, Defa Hu, Weijin Jiang, 2016.

关键词： Wavelet transforms

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Bilinear grid search strategy based support vector machines learning method

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Informatica (Slovenia) 2014年第1期38卷 51-58页

作者： Li, Lin Zhang, Xiaolong Zhang, Kai Liu, Jun School of Computer Science and Technology Wuhan University of Science and Technology China Hubei Prov. Key Lab. of Intelligent Information Processing and Real-time Industrial System China

Support Vector Machines (SVM) learning can be used to construct classification models of high accuracy. However, the performance of SVM learning should be improved. This paper proposes a bilinear grid search method to achieve higher computation efficiency in choosing kernel parameters (C, γ) of SVM with RBF kernel. Experiments show that the proposed method retains the advantages of a small number of training SVMs of bilinear search and the high prediction accuracy of grid search. It has been proved that bilinear grid search method (BGSM) is an effective way to train SVM with RBF kernel. With the application of BGSM, the protein secondary structure prediction can obtain a better learning accuracy compared with other related algorithms.

关键词： Support vector machines

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Magnetoelectric characteristics in three-phase magnetostric-tive/ piezoelectric composites with different high permeability materi-als.

Magnetoelectric characteristics in three-phase magnetostric-...

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International Conference on Magnetics (INTERMAG)

作者： L. Chen Y. Wang Key Lab of Computer Vision and Intelligent Information System Chongqing University of arts and sciences Chong Qing China School of Electronic Information and Electric Engineering Shanghai Jiao Tong University Shanghai China

Summary form only given. The magnetostrictive/piezoelectric laminate composites consisting of Ni, Permendur, Metglas or Terfenol-D as magnetostrictive phase and PVDF, PZT or PMN-PT as piezoelectric phase demonstrate strong magnetoelectric effect due to the product property, which provide effective conversion between electric field energy and magnetic field energy. The superior performances make them potential applications in novel multifunctional devices, such as multiple-state storages, energy harvesting transducers, tunable microwave devices, magnetic field sensors, and transformers. Recently, it has been found that the magnetic permeability for magnetostrictive material directly affects its effective piezomagnetic coefficient and corresponding magnetoelectric effect. Combining traditional magnetostrictive/piezoelectric laminate composites and high permeability materials can significantly enhance the effective permeability, which produce the self-biased ME effect. However, in previous reports, most researchers have focused on the preparation method and testing composite structure consisting of specific high permeability materials, which is lack of comparisons and analysis for composites with different high permeability material. Actually for the practical applications of magnetoelectric composites, it is both physically interesting and technologically important to systematically investigate the ME composites with different high permeability materials. Hence in this study, by bonding three different high permeability materials FeCuNbSiB, FeSiB and CoNiFeSiB into Terfenol-D/PZT laminate, the FeCuNbSiB/Terfenol-D/PZT, FeSiB/Terfenol-D/PZT, and CoNiFeSiB/Terfenol-D/PZT laminate composites are prepared. The influences of the different high permeability materials on the ME characteristics of the composites have been investigated, as shown in Fig.1. On one hand, the experimental results demonstrate that the maximum zero-bias ME voltage coefficient for FeCuNbSiB/Terfenol-

关键词： Magnetics Conferences

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Novel Detection Service Method for Moving Object in IOT

Novel Detection Service Method for Moving Object in IOT

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2016 3rd International Conference on Materials Engineering,Manufacturing Technology and Control(ICMEMTC 2016)

作者： Jie Chen Degan Zhang School of Electronic and Information Engineering Tianjin Vocational Institute Tianjin Key Lab of Intelligent Computing & Novel software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System (Tianjin University of Technology) Ministry of Education

In embedded Internet of Things(IOT) environment, there are the troubles such as complex background, illumination changes, shadows and other factors for detecting moving object, so we put forward a new detection service method through mixing Gaussian Mixture Model(GMM), edge detection service method and continuous frame difference method in this paper. In time domain, the new method uses GMM to model and updates the background. In spatial domain, it uses the hybrid detection service method which mixes edge detection service method, continuous frame difference method and GMM to get initial contour of moving object, and gets ultimate moving object. This method not only can well adapt to the illumination gradients and background disturbance occurred on scene, but also can well solve some problems such as inaccurate target detection, incomplete edge detection, cavitation and ghost which usually appears in traditional method. As experimental result showing, this method holds better real-time and robustness. It is not only easily implemented, but also can accurately detect moving object.

关键词： GMM embedded IOT moving object detection service

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