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2014 IEEE 7th Joint International Information technology and Artificial Intelligence Conference

作者： Xiuhua Ma Jiwen Dong Peilong Zhao Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan

ISBN: (纸本)9781479944187

A new image compression system based on quadtreepartition and reversible integer time-domain lapped transform(RTDLT) as core transform technology is proposed. The system obtained transformation region of different sizes through quadtree partition to remove the correlation between the pixels by utilizing features of image regions. The performance of reversible integer discrete cosine transform(RDCT) was improved with the method of quadtree partition. Superior performance can be achieved in most cases than the fixed block RTDLT and RDWT about the rate-distortion and subjective visual quality.

关键词： quadtree partition,reversible integer time-domain lapped transform,DCT,image compression

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Traffic Labeller： Collecting Internet Traffic Samples with Accurate Application Information

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China Communications 2014年第1期11卷 69-78页

作者： PENG Lizhi ZHANG Hongli YANG Bo CHEN Yuehui WU Tong School of Computer Science and Technology Harbin Institute of Technology Harbin 150002 China Provincial Key Laboratory for Network Based Intelligent Computing University of Jinan Jinan 250022 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China

Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this *** system captures all user socket calls and their corresponding application process information in the user mode on a Windows *** a sending data call has been captured,its 5-tuple {source IP,destination IP,source port,destination port and transport layer protocol},associated with its application information,is sent to an intermediate NDIS driver in the kernel *** the intermediate driver writes application type information on TOS field of the IP packets which match the *** this way,each IP packet sent from the Windows host carries their application ***,traffic samples collected on the network have been labelled with the accurate application information and can be used for training effective traffic classification models.

关键词： network measurement traffic cla- ssification data collection ground truth

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An online multi-object tracking by detection approach based on particle filtering framework 14

An online multi-object tracking by detection approach based ...

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2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014

作者： Wang, Zhenhai Hong, Kicheon Informatics School Linyi University Linyin Shandong China Shandong Provincial Key Laboratory of Network Intelligent Computing Technology China Dept. of Information and Telecommunications Engineering University of Suwon Bongdam-eup Hwaseong-si Gyeonggi-do Korea Republic of

ISBN: (纸本)9781450330602

In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated camera. We propose a novel approach for multi-object tracking by detection in a particle filtering framework. First, in order to improve detection performance, moving objects are automatically extracted using boosting factor and labeling method. Then, multiple objects are tracked in particle filtering framework by adaptively selecting block template according to human model and adaptively updating template using current detection. Finally, we resolve the data association using Hungarian assignment algorithm and compute the observation likelihood function of each particle filter using the associated detection. We present a new method to deal with the variety of the number of objects at random times. The resulting algorithm robustly tracks a variable number of dynamically moving objects in complex scenes with occlusions. The approach relies only on i nformation from the past and is suitable for online application, and does not require any camera or ground plane calibration. We evaluate the performance on a variety of datasets and show that it improves upon state-of-the-art methods. © 2014 ACM.

关键词： Cameras

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Parallelization using task parallel library with task-based programming model

Parallelization using task parallel library with task-based ...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Xinhong Hei Jinlong Zhang Bin Wang Haiyan Jin Nasser Giacaman School of Computer Science and Engineering Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an Shaanxi Province China Department of Electrical and Computer Engineering The University of Auckland Auckland New Zealand

ISBN: (纸本)9781479932801

In order to reduce the complexity of traditional multithreaded parallel programming, this paper explores a new task-based parallel programming using the Microsoft .NET Task Parallel Library (TPL). Firstly, this paper proposes a custom data partitioning optimization method to achieve an efficient data parallelism, and applies it to the matrix multiplication. The result of the application supports the custom data partitioning optimization method. Then we develop a task parallel application: Image Blender, and this application explains the efficiency and pitfall aspects associated with task parallelism. Finally, the paper analyzes the performance of our applications. Experiments results show that TPL can dramatically alleviate programmer burden and boost the performance of programs with its task-based parallel programming mechanism.

关键词： Parallel processing Parallel programming Instruction sets Computational modeling Data models Educational institutions

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Availability-Aware Virtual network Embedding for Multi-tier Applications in Cloud networks

Availability-Aware Virtual Network Embedding for Multi-tier ...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Meng Shen Xu Ke Fuliang Li Fan Li Liehuang Zhu Lei Guan Ministry of Education Key Laboratory of Computer Network and Information Integration (Southeast University) P. R. China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science Beijing Institute of Technology P. R. China Tsinghua University Beijing Beijing CN College of Information Science and Engineering Northeastern University P. R. China DNSLAB China Internet Network Iniormation Center Beijing P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781479989386

There is a growing trend for service providers (SPs) to migrate their multi-tier applications from local clusters to public cloud networks. In the cloud environment, it is a great concern of SPs to improve the availability of their virtual networks, in addition to guarantees of their virtual resource requirements, such as VMs and bandwidth. However, meeting these requirements results in an inefficient utilization of physical resources, which goes against the operational goal of cloud providers. To address this challenge, in this paper, we propose an availability-aware virtual network embedding framework that simultaneously improves the availability of virtual networks and the resource efficiency. We first propose a new metric to quantify the availability cost of a multi-tier virtual network, and then formulate the embedding problem as a joint optimization of the aggregated bandwidth and availability costs. Due to the NP-hardness of the embedding problem, we devise a heuristic algorithm that can solve the problem in polynomial time. Extensive simulation results show that the proposed algorithm enables CP to achieve various trade-offs between resource efficiency and availability, and to gain more revenue (e.g., 16.1% under a datacenter load of 80%) than the availability-agonistic algorithm.

关键词： Bandwidth Cloud computing Topology network topology Servers Optimization Algorithm design and analysis

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MF-PDP:MULTI-FUNCTION PROVABLE DATA POSSESSION SCHEME IN CLOUD computing

MF-PDP:MULTI-FUNCTION PROVABLE DATA POSSESSION SCHEME IN CLO...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiaojun Yu Qiaoyan Wen State key laboratory of networking and switching technology Beijing University of Posts and Telecommunications Beijing Topsec Network Security Technology Co.Ltd

This paper proposed a multi-function provable data possession(MF-PDP),which supports public verification,data dynamic,unlimited times verification and sampling *** detail design is provided and the theory analysis about the correctness,security and performance are also *** experiment emulation and compare analysis suggest the feasibility and advantage.

关键词： Multi-function Provable data possession Cloud computing

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A secure self-destruction scheme with IBE for the internet content privacy

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Jisuanji Xuebao/Chinese Journal of Computers 2014年第1期37卷 139-150页

作者： Xiong, Jin-Bo Yao, Zhi-Qiang Ma, Jian-Feng Li, Feng-Hua Liu, Xi-Meng Faculty of Software Fujian Normal University Fuzhou 350108 China School of Computer Science and Technology Xidian University Xi'an 710071 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an 710071 China

With the rapid emerging of novelty Web services and cloud services, privacy information and documents of users become increasingly easy to be exposed in the Internet. To tackle the issue of lifecycle security of the privacy information and documents in the Internet, in this paper, we propose the idea of combining the three security methods of multilevel security, identity-based encryption (IBE), and distributed hash table (DHT) network. And we further propose an IBE-based secure self-destruction (ISS) scheme to protect the confidentiality and privacy of the Internet content by self-destruction after a predefined time. In our proposed ISS security scheme, the Internet content is first partitioned into many segments with diverse security levels, and each segment is encrypted with a symmetric key to obtain primitive ciphertext. By applying the methods of association and extraction, the primitive ciphertext is turned to associated ciphertext, which is then divided into extracted ciphertext and encapsulated ciphertext. The latter is encapsulated into the Internet content self-destructing object (CDO), which is stored into the storage services provider. Furthermore, to protect the privacy security when the CDO expired, the symmetric key is encrypted using the IBE algorithm based on the identity of the authorized user. The combination of this key's ciphertext and the extracted ciphertext, by means of Lagrange polynomial processing, generates mixture ciphertext shares. Then those shares are distributed into nodes within the DHT network and will be automatically discarded over the deadline when the primitive ciphertext and the symmtric key are unrecoverable. Consequently, the ISS scheme achieves the aim of secure self-destruction. Comprehensive analysis shows that the ISS scheme is able to satisfy all the design demands and is more secure than existing schemes. The ISS scheme can resist against not only the traditional cryptanalysis and brute-force attack, but also the Sybil

关键词： Access control

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Program Crash Analysis Based on Taint Analysis

Program Crash Analysis Based on Taint Analysis

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International Conference on P2P, Parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Zhang Puhan Wu Jianxiong Wang Xin Zehui Wu China Information Technology Security Evaluation Center Beijing China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781479978724

Software exception analysis can not only improve software stability before putting into commercial, but also could optimize the priority of patch updates subsequently. We propose a more practical software exception analysis approach based on taint analysis, from the view that whether an exception of the software can be exploited by an attacker. It first identifies the type of exceptions, then do taint analysis on the trace that between the program entry point to exception point, and recording taint information of memory set and registers. It finally gives the result by integrating the above recording and the subsequent instructions analysis. We implement this approach to our exception analysis framework ExpTracer, and do the evaluation with some exploitable/un-exploitable exceptions which shows that our approach is more accurate in identifying exceptions compared with current tools.

关键词： Computer crashes Registers Software Optimization Algorithm design and analysis Instruments Personnel

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Improved OMP Selecting Sparse Representation Used with Face Recognition

Improved OMP Selecting Sparse Representation Used with Face ...

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2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Jian Zhang Ke Yan Zhenyu He Bio-computing Research Center Shenzhen Graduate SchoolHarbin Institute of Technology Key Laboratory of Network Oriented Intelligent Computation

With the worldwide strengthening of anti-terrorism and other identity verification,the products based on face recognition are used in real life more and *** recognition as an important ways has become the focus of academic research in the *** recognition accuracy can be improved by increasing the number of training samples,but increasing number will result in a large computing *** recent years,the sparse representation becomes hot in face *** this paper,we propose an energy constraint orthogonal matching pursuit(ECOMP) algorithm for sparse representation in face *** selects a few training samples and hierarchical structure for face *** this method,we reselect training samples by ECOMP,calculate the weight of all the selected training samples and find the sparse training samples which can recover the test *** the AR and the ORL database experimental results show that this method has better performance than other identification methods.

关键词： orthogonal matching pursuit,sparse representation,image classification

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Image Classification Using Sparse Coding and Spatial Pyramid Matching

Image Classification Using Sparse Coding and Spatial Pyramid...

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2014 International Conference on e-Education,e-Business and Information Management(ICEEIM 2014)

作者： Xiaofang Wang Jun Ma Ming Xu School of Computer Science and Technology Shandong University Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan

Recently,the Support Vector Machine(SVM) using Spatial Pyramid Matching(SPM) kernel has achieved remarkable successful in image classification. The classification accuracy can be improved further when combining the sparse coding with SPM. However,the existing methods give the same weight of patches of SPM at different levels. Clearly the discriminative powers of SPM at different levels are distinct and there are correlation relationships among the sparse coding bases vectors,which usually have negative influence on the classification accuracy. This paper assigns different weights to the patches at different levels of SPM,and then proposes a new spatial pyramid matching kernel. Furthermore,the Principle Component Analysis(PCA) is employed to reduce the dimension of the feature vectors in order to decrease correlation among vectors and speed up the SVM training process. The preprocessing can enhance the discriminative ability of the new kernel as well. Experiments carried out on Caltech101 and Caltech256 datasets show that the new SPM kernel outperforms the existing methods in terms of the classification accuracy.

关键词： Sparse coding,Spatial pyramid matching,Support vector machine,Image classification

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