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A forensics tool of Foxmail client

A forensics tool of Foxmail client

引用

International Conference on Systems and Informatics (ICSAI)

作者： Lili Xie Guolong Chen College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781479954599

Computer forensics is an important part of the computer crime investigation. So a Forensics system aimed to Foxmail data analysis and investigation is proposed in this paper. The system can index the email data based on Lucene technology and the MMSeg participle algorithm, and provides the full text retrieval of the email content function. Subsequently, a visual communication graph would be generated according to the retrieval results. Based on the communication graph, an algorithm on graphic structure analysis is proposed, and by means of centrality and minimum traffic filtering method, multilevel analysis is carried out on the graph, which can detect the possible suspicious personnel and their relationships and provide strong support for the computer crime investigation.

关键词： Electronic mail Forensics Postal services Indexes Filtering Personnel Algorithm design and analysis

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Comparing estimated gaze depth in virtual and physical environments 14

Comparing estimated gaze depth in virtual and physical envir...

引用

8th Symposium on Eye Tracking Research and Applications, ETRA 2014

作者： Duchowski, Andrew T. House, Donald H. Gestring, Jordan Congdon, Robert Świrski, Lech Dodgson, Neil A. Krejtz, Krzysztof Krejtz, Izabela School of Computing Germany Sonoco Institute of Packaging Design and Graphics Clemson University United States Computer Laboratory University of Cambridge United Kingdom Department of Psychology United Kingdom Interdisciplinary Center for Applied Cognitive Studies University of Social Sciences and Humanities Poland Information Processing Institute United Kingdom

ISBN: (纸本)9781450327510

We show that the error in 3D gaze depth (vergence) estimated from binocularly-tracked gaze disparity is related to the viewing distance of the screen calibration plane at which 2D gaze is recorded. In a stereoscopic (virtual) environment, this relationship is evident in gaze to target depth error: vergence error behind the screen is greater than in front of the screen and is lowest at the screen depth. In a physical environment, with no accommodation-vergence conflict, the magnitude of vergence error in front of the 2D calibration plane appears reversed, increasing with distance from the viewer.

关键词： Errors

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A hybrid artificial fish-school optimization algorithm for solving the quadratic assignment problem

A hybrid artificial fish-school optimization algorithm for s...

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International Conference on Natural Computation (ICNC)

作者： Ziqiang Li Yang Yi Qiwei Yang School of Information and Engineering Xiangtan University Xiangtan China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Xiangtan China

The quadratic assignment problem (QAP) is a classic combinatorial optimization problem, which is of the NP-hard nature. In this paper, a hybrid artificial fish school optimization algorithm (HAFSOA) is proposed. In HAFSOA, the heuristic information is used in constructing some better initial individuals and its search ability of the global optimal solution is improved by a combination of the modified fish school optimization and differential evolution. In addition, by taking different visual distances for three behaviors: preying, clustering and following, the convergence speed of the proposed HAFSOA is speeded up. Many QAP experimental results show that the proposed HAFSOA can solve QAP better.

关键词： Marine animals Optimization Visualization Production facilities Educational institutions Clustering algorithms Heuristic algorithms

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Topic trend prediction based on wavelet transformation

Topic trend prediction based on wavelet transformation

引用

2014 11th Web information System and Application Conference(第十一届全国web信息系统及其应用学术会议)

作者： Mingyue Fang Yuzhong Chen Peng Gao Shuiyuan Zhao Songpan Zheng College of Mathematics and Computer Science Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou Fujian China

ISBN: (纸本)9781479957286

The research of topic trend prediction can be a good reference for maximizing the propagation effects of network advertisements as well as guiding and controlling the network *** paper proposes PTEP(the Prediction of Topic Energy Peak) method to model the life cycle of a topic and predicts the time when a hot topic will ***, taking the number and the authority of followers and the interest of users to a topic into consideration, we design a topic-related user authority (TRUA) algorithm to measure the authority of ***, we calculate the energy value considering both the tweets and users authority related to the ***,we measure the fluctuation of the energy value based on wavelet ***, we present rules to predict topic *** results show that our method can effectively predict the peak of a topic in advance with a low omission rate.

关键词： microblog topic trend prediction user authority aging theory wavelet analysis

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Parallelization of a DEM code based on CPU-GPU heterogeneous architecture

Parallelization of a DEM code based on CPU-GPU heterogeneous...

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26th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013

作者： Yue, Xiaoqiang Zhang, Hao Luo, Congshu Shu, Shi Feng, Chunsheng School of Mathematics and Computational Science Xiangtan University 411105 Hunan China Heat and Mass Transfer Technological Center Technical University of Catalonia 08222 Terrassa Spain Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University 411105 Hunan China

ISBN: (纸本)9783642539619

Particulate flows are commonly encountered in both engineering and environmental applications. The discrete element method (DEM) has attracted plentiful attentions since it can predict the whole motion of the particulate flow by monitoring every single particle. However the computational capability of the method relies strongly on the numerical scheme as well as the hardware environment. In this study, a parallelization of a DEM based code titled Trubal was implemented. Numerical simulations were carried out to show the benefits of this research. It is shown that the final parallel code gave a substantial acceleration on the Trubal. By simulating 6,000 particles using a NVIDIA Tesla C2050 card together with Intel Core-Dual 2.93 GHz CPU, an average speedup of 4.69 in computational time was obtained. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Finite difference method

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A forensics method of web browsing behavior based on association rule mining

A forensics method of web browsing behavior based on associa...

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International Conference on Systems and Informatics (ICSAI)

作者： Yiyun Zhang Guolong Chen College of Mathematics and Computer Science Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781479954599

With the development of network, web forensics is becoming more and more important due to the rampant cybercrime. In this paper, a forensics method of web browsing behavior based on association rule mining is presented. The method aims at providing the necessary data support to build the behavior pattern library for investigation. The records of the user's browsing history are collected to be analyzed. The obtained original data are pretreated to transactional data which are suitable for association rule mining. Frequent browsing time and frequent web browsing sequences are obtained from the transactional data by Apriori algorithm. The mining results are helpful for identification and recognition of anonymous or suspicious web browsing behavior patterns.

关键词： History Browsers Forensics Association rules Libraries Uniform resource locators

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Data Replication Placement Strategy Based On Bidding Mode for Cloud Storage Cluster

Data Replication Placement Strategy Based On Bidding Mode fo...

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2014 11th Web information System and Application Conference(第十一届全国web信息系统及其应用学术会议)

作者： Hong Zhang Bing Lin Zhanghui Liu Wenzhong Guo College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou 350116 China

ISBN: (纸本)9781479957286

The data availability in large-scale cloud storage has been increasing by means of data *** provide cost-effective availability, minimize the response time of applications and make load balancing for cloud storage, a new replica placement policy with bidding thought is *** policy combines the own characteristics of replica and factors of bidding mode(e.g, bidding time, bidding standard, bidding price etc.) and starts replica bidding activity when the file data availability cannot meet the given *** placement is based on capacity and accessing probability of data *** experimental results show that our policy has a better performance in both load balance and response time comparing to the static replica policy and CDRM scheme.

关键词： Data Replica Bidding Mode Cloud Storage Load Balance

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cognitive Memory Systems In Consciousness And Memory Model

Cognitive Memory Systems In Consciousness And Memory Model

引用

International Joint Conference on Neural Networks

作者： Zhongzhi Shi Xiaofeng Wang Xi Yang Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China

Memory is a fundamental component in human brain and plays very important roles for all mental processes. The analysis of memory systems through cognitive architectures can be performed at the computational, or functional level, on the basis of empirical data. In this paper we discuss memory systems in the extended Consciousness and Memory Model (CAM) The knowledge representations used in CAM for working memory, semantic memory, episodic memory and procedural memory are introduced. It will be explained how, in CAM, all of these knowledge types are represented in dynamic decription logic (DDL), a formal logic with the capability for description and reasoning regarding dynamic application domains characterized by actions.

关键词： Semantics Computer aided manufacturing Trajectory Computational modeling Computer architecture Ontologies Cognition

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Queue-based privacy-preserving data aggregation scheme for wireless sensor networks

Queue-based privacy-preserving data aggregation scheme for w...

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2014 International Conference on Communication Technology and Application(CTA2014)

作者： X.Y.Zhu L.Wang Department of Computer Science Hengyang Normal University College of Information Engineering Xiangtan University Key Laboratory of Intelligent Computing & Information Processing(Xiangtan University) Ministry of Education

ISBN: (纸本)9781845649302

In this paper, we propose a novel queue-based privacy-preserving data aggregation scheme for additive aggregation function. In the scheme, sensor nodes are divided into clusters in a distributed way first, and then, in each cluster, cluster members will form a queue and adopt a new queue-based privacy-preserving scheme to send data for aggregation upon the cluster head's request. We evaluate our scheme in terms of overheads, capacity of privacy-preservation, and data aggregation accuracy. The results show that our scheme is efficient and reasonable.

关键词： privacy preservation data aggregation wireless sensor network

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Robust point pattern matching based on spectral context

Robust point pattern matching based on spectral context

引用

作者： Tang, Jun Shao, Ling Zhen, Xiantong Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Huangshan Road Hefei 230039 China College of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing 210044 China Department of Electronic and Electrical Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom

Finding correspondences between two related feature point sets is a basic task in computer vision and pattern recognition. In this paper, we present a novel method for point pattern matching via spectral graph analysis. In particular, we aim to render the spectral matching algorithm more robust for positional jitter and outlier. A local structural descriptor, namely the spectral context, is proposed to describe the attribute domain of point sets, which is fundamentally different from the previous methods. Furthermore, the approximate distance order is defined and employed as the metric for geometric consistency of neighboring points in this work. By combining these two novel ingredients, we formulate feature point set matching as an optimization problem with one-to-one constraints. The correspondences are then obtained by maximizing the given objective function via the technique of probabilistic relaxation. Comparative experiments conducted on both synthetic and real data demonstrate the effectiveness of the proposed method, especially in the presence of positional jitter and outliers. © 2013 Elsevier Ltd. All rights reserved.

关键词： Jitter

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