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Primary Exploration of Reliability Evaluation of computer Live Forensics Model on Physical Memory Analysis

Journal of Harbin Institute of technology(New Series) 2014年第4期21卷 121-128页

作者： Lian-Hai Wang Qiu-Liang Xu School of Computer Science and Technology Shandong University Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center( National Supercomputer Center in Jinan)

The integrity and fidelity of digital evidence are very important in live forensics. Previous studies have focused the uncertainty of live forensics based on different memory snapshots. However,this kind of method is not effective in practice. In fact,memory images are usually acquired by using forensics tools instead of using snapshots. Therefore,the integrity and fidelity of live evidence should be evaluated during the acquisition process. In this paper,we study the problem in a novel viewpoint. Firstly,several definitions about memory acquisition measure error are introduced to describe the trusty. Then,we analyze the experimental error and propose some suggestions on how to reduce it. A novel method is also developed to calculate the system error in detail. The results of a case study on Windows 7 and VMware virtual machine show that the experimental error has good accuracy and precision,which demonstrate the efficacy of the proposed reducing methods. The system error is also evaluated,that is,it accounts for the whole error from 30% to 50%.

关键词： digital investigation live forensics volatile memory acquisition trusted probability

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An improved social force evacuation model with grouping and guiding

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Journal of Computational Information Systems 2015年第20期11卷 7553-7562页

作者： Lv, Yuanyang Liu, Hong Lu, Dianjie School of Information Science and Engineering Shandong Normal University Ji'nan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Ji'nan China

Crowd evacuation simulation is of great significance for strategy design in emergency, resulting in serious injuries and casualties. A majority of existing evacuation models overlooked the interactions and influences between pedestrians. Therefore, a crowd evacuation model based on grouping and guiding was come up with, which is based on an improved social force model. The improved model optimized the trend selecting strategy of movement and added a force called relationship attractive force. The movement is determined by pedestrian's trend and composite force. According to the results of experiments, this proposed model can realize that pedestrians having intimate relationships with each other would get together gradually in process of crowd evacuation and made the effects more realistically. Copyright © 2015 Binary Information Press.

关键词： Crowd evacuation Group partition Social force model Social relationship

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LTFML: Multi-label learning based on label typical features

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Journal of Computational Information Systems 2015年第4期11卷 1497-1504页

作者： Zheng, Xiyuan Zhang, Huaxiang Fang, Xiaonan Meng, Lili School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China Jinan China

In recent years, multi-label learning is becoming a new research hot spot. In this paper, we proposed a multi-label learning method called LTFML based on the idea of trying to determine the typical features for each class label. First, LTFML choose those samples with some specific class label from the multilabel data set and cluster these selected samples. We use these clustering centers gained by above step as typical features which can represent effectively this class label. Then the distances between each sample and these clustering centers are used to represent each sample and weighted according to the standard deviations of each clustering cluster. Finally, a set of SVM classifiers are used to estimate the class label vector of unseen instance. Experimental results show that LTFML can have a very good performance over the well-known multi-label learning algorithms. 1553-9105/Copyright © 2015 Binary Information Press

关键词： Learning algorithms

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Spider: A Non-blocking Optical Router for Multicasting Communication in ONoC

Spider: A Non-blocking Optical Router for Multicasting Commu...

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International Conference on computer science and Network technology

作者： Lei Huang Huaxi Gu Bowen Zhang Xuesong Wang Kun Wang State Key Laboratory of Integrated Services Networks Xidian University Xi'an China School of Computer Science and Technology Xidian University Xi'an China

ISBN: (纸本)9781467381741

Optical Network-on-Chip (ONoC) architectures have attracted increasing attention as an optimized solution for intra-core communication. Due to the explosive growth in communication traffic, more multicast demands have been brought. Nevertheless, as a key role in an on-chip photonic interconnection network, the most existing routers cannot satisfy multicasting need. In this paper, we propose a kind of non-blocking optical router of 4x4 and 5x5 architectures named Spider for multicasting communication in optical network-onchip. Spideremploys fewer microring resonators, lower insertion loss, and reduces power consumption when compared with previous ONoC router designs.

关键词： Optical routers Multicasting communication Nonblocking multicast communication Spiders telecommunication traffic Interconnection networks

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Digital circuit optimization design algorithm based on cultural evolution

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Metallurgical and Mining Industry 2015年第9期7卷 877-885页

作者： Yan, Xuesong Wu, Qinghua Liu, Hanmin School of Computer Science China University of Geosciences Wuhan Hubei China Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan Hubei China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei China Wuhan Institute of Ship Building Technology Wuhan Hubei China

Cultural Algorithms (CA) are a class of computational models derived from observing the cultural evolution process in nature. The Cultural Algorithm is a dual inheritance system that characterizes evolution in human culture at both the macro-evolutionary level, which takes place within the belief space, and at the micro-evolutionary level, which occurs at the population space. Cultural algorithm is used to solve complex calculations of the new global optimization search algorithms, cultural algorithms in the optimization of the complex functions of its superior performance. In this paper, we use the this algorithm for combinational digital circuit optimization design, from the experiment results shown our algorithm are effective for this problem.

关键词： Global optimization

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A Study of a Virtual Network Embedding Algorithm

A Study of a Virtual Network Embedding Algorithm

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IEEE International Conference on Ubiquitous Computing and Communications

作者： Zhen-hua Chen Xiang-wei Zheng Dian-jie Lu School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9781509001552

Currently, energy cost has become an important burden of infrastructure providers in network virtual environment. Therefore, consolidating nodes and links to save energy is an effective method when virtual networks are embedded on substrate network. The traditional embedding method usually considers cost minimization or revenue maximization as its goal. This paper studies the problem of energy consumption, cost and revenue simultaneously and a virtual network embedding model saving energy is proposed. Then, a heuristic algorithm base on group search optimizer is developed. The simulation experiments show that the proposal can effectively reduce energy consumption when a large quantity of virtual networks arrives.

关键词： Substrate network Virtual network style Virtual network embedding Energy consumption Group Search Optimizer

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Microblog Orientation Analysis Based on Connnectives

Microblog Orientation Analysis Based on Connnectives

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International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA)

作者： Jun Zhao Hong Wang School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9781467383165

At present, a larger number of researchers analyzed Micro-blog orientation and they concentrated their energy on emotional words, adverb and negative words without considering the impact of other emotional factors, such as the coordinative relation, progressive relation and adversative relation. So a method studying the sentiment polarity of associated words was proposed. The structure characteristics of associated words were analyzed sufficiently, and a turning words dictionary, a Chinese emotion dictionary and a negative words dictionary were founded based on the existing dictionary. This paper considers the combination laws of negative words, adversative words and conjunctions into Micro-blog. In the experiments, we verify this method can analyze the sentiment polarity of transition sentences efficiently and also has higher classification accuracy.

关键词： Dictionaries Support vector machines Blogs Turning Feature extraction Mutual information Software

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A framework for workload aware SaaS platform data management

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Journal of Computational Information Systems 2014年第22期10卷 9699-9706页

作者： Guo, Wei Wang, Xinjun Shandong Provincial Key Laboratory of Software Engineering School of Computer Science and Technology Shandong University Ji'nan China

Cloud computing is a new emerging way by which hardware and software resources can be shared on demand to computers and other devices via the Internet. Cloud computing platform has now become a new platform for enterprises and personal computing. The data placement issues in cloud computing platform have been extensively studied and researched in the past years. In this paper, based on the workload information derived from system logs, we design an overall system architecture for the method of placing data replica and dynamic selection of data replica from a higher level. We model the previous query workload as a hypergraph which contains a set of data items, then formulate and analyze the problem of replica placement by the graph theory concepts. We use these concepts to develop a series of algorithms to decide which data items to replicate, and where to place the replicas. Based on this system architecture, we designed the workload-driven replica selection and placement algorithm. According to this algorithm, we can minimize the average query range of the involved transactions. Our experiments show that the fine-grained data placement and replication method can dramatically reduce the average query range resulting in significant reductions in the resource consumption in cloud computing platform.

关键词： Cloud computing

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Computing Unbalanced Degree of Signed networks Based on Culture Algorithm

Computing Unbalanced Degree of Signed Networks Based on Cult...

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International Conference on Cloud Computing and Big Data (CCBD)

作者： Xiaohui Zhao Fangai Liu Yongxin Zhang Jiwei Wang School of Information Science & Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Technology Jinan China School of Mathematical Science Shandong Normal University Jinan China Shandong Provincial Key Laboratory of Software Engineering Jinan China

Signed network is the network with both positive and negative links. Many real-world complex systems can be represented as signed networks, which are unbalanced according to structural balance theory. Unbalanced degree of signed networks is the distance to exact balance. Evaluating unbalanced degree of signed networks is a NP-hard problem, which has attracted many attentions. Many approaches are developed to compute structural balance. However, the results obtained by these approaches are unsatisfactory. In this study, the computation of unbalanced degree is convert to an optimization problem whose object function is come from the Hamiltonian of Edwards-Anderson spin glass model. We use a new Cultural Algorithm named CA-SNB to solve the optimization problem. The Cultural Algorithm, a new computable framework of Evolution Algorithm, has been successfully applied to many areas. In CA-SNB, the evolution of population space and belief space is based on Genetic Algorithm and greedy strategy respectively. Experiments on social and biological networks show the excellent effectiveness and efficiency of the proposed method.

关键词： Sociology Statistics Cultural differences Linear programming Glass Algorithm design and analysis Social network services

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3D garment segmentation based on semi-supervised learning method

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Journal of Fiber Bioengineering and Informatics 2015年第4期8卷 657-665页

作者： Huang, Mian Liu, Li Liu, Ruomei Fu, Xiaodong Liu, Lijun Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China National Engineering Research Center of Digital Life State-Province Joint Laboratory of Digital Home Interactive Applications School of Data and Computer Science Sun Yat-sen University Guangzhou China

In this paper, we propose a semi-supervised learning method to simultaneous segmentation and labeling of parts in 3D garments. The key idea in this work is to analyze 3D garments using semi-supervised learning method which can label parts in various 3D garments. We first develop an objective function based on Conditional Random Field (CRF) model to learn the prior knowledge of garment components from a set of training examples. Then, we exploit an effective training method that utilizes JointBoost classifiers based on the co-analysis for garments. And we modify the JointBoost to automatically cluster the segmented components without requiring manual parameter tuning. The purpose of our method is to relieve the manual segmentation and labeling of components in 3D garment collections. Finally, the experimental results show the performance of our proposed method is effective. © 2015 Binary Information Press & Textile Bioengineering and Informatics Society December 2015.

关键词： Random processes

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