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

作者： Liu, Pei Yu Zhang, Yan Hui Wei, Jing Xun Hou, Xiu Yan School of Information Engineering Shandong Yingcai University Jinan China Department of Information Science and Engineering Shandong Normal University China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology China

ISBN: (纸本)9783038353287

As a new social networking media, Micro-blog is recognized by more and more people gradually, the orientation analysis of Micro-blog short text messages has become a hotspot in the field of data mining. At present, the research of Micro-blog orientation analysis mainly concentrate in the text, without considering the impact of other emotional factors. By analyzing and studying Sina Micro-blog, this paper added new words and emoticons in the basis of traditional emotional dictionary to construct special Micro-blog dictionary. Meanwhile, it analyzed rhetoric and sentence to improve the effect of orientation analysis. The experimental results showed that the method in Micro-blog orientation analysis obtained better performance. © (2014) Trans Tech Publications, Switzerland.

关键词： Data mining

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Study on event correlation analysis in evidence chain structure

Study on event correlation analysis in evidence chain struct...

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2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Liu, Dong Wei, Yong-Qing School of Information Science and Engineering Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Shandong Normal University Jinan China Basic Education Department Shandong Police College Jinan China

ISBN: (纸本)9781467321068

computer forensics has limitations in representation formalism of the electronic evidence and data missing. A method in construction of electronic evidence chain was proposed on the basis of the study and analysis of event correlation, and it makes use of Bayesian network inference algorithm, which analysis of causal relationship of the events to deal with the missing data. This method to consider the interaction between evidence events and sequence relationship, it realizes formalization of the electronic evidence and reduces data redundancy in evidence analysis, which strengthens the pertinence of data process and evidence analysis, forensics system becomes more perfect. © 2012 IEEE.

关键词： Bayesian networks

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distributed PrefixSpan algorithm based on MapReduce

Distributed PrefixSpan algorithm based on MapReduce

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2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Wei, Yong-Qing Liu, Dong Duan, Lin-Shan Basic Education Department Shandong Police College Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Shandong Normal University Jinan China Shandong Normal University Jinan China

ISBN: (纸本)9781467321068

For mining sequential patterns on massive data set, the distributed sequential pattern mining algorithm based on MapReduce programming model and PrefixSpan is proposed. Mining tasks are decomposed to many small tasks, the Map function is used to mine each Prefix-Projected sequential pattern, and the projected databases were constructed parallelly. It simplifies the search space and acquires a higher mining efficiency. Then the intermediate values are passed to a Reduce function which merges together all these values to produce a possibly smaller set of values. Both theoretical analyses and experimental results show MR-PrefixSpan reduces the time of scanning database. It solves the problem of mining massive data effectively, has considerable speedup and scaleup performances with an increasing number of processors on the Hadoop platform. © 2012 IEEE.

关键词： Metadata

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An improved memetic algorithm and its application in multi-constrained test paper generation

An improved memetic algorithm and its application in multi-c...

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2012 International Conference on Information Technology and software Engineering, ITSE 2012

作者： Wang, Zhihao Zheng, Xiangwei School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China School of Information Science and Engineering Shandong Normal University Jinan China

ISBN: (纸本)9783642345210

In order to improve the quality of intelligent test paper generation, an improved Memetic Algorithm (MA) is proposed as the strategy for intelligent test paper generation in this paper, which is based on Particle Swarm Optimizer (PSO) and Simulated Annealing (SA) (referred to as PMemetic). PMemetic takes PSO as the global search strategy while SA as the local search strategy. The mathematical models corresponding to the constraints for test paper generation and difficulty distribution functions and test paper generation model of PMemetic are established. The experimental analysis indicates that the method is effective, feasible and practical for test paper generation. © 2013 Springer-Verlag.

关键词： Distribution functions

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Improved access control model under cloud computing environment

Improved access control model under cloud computing environm...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zhang, Yongsheng Zou, Jiashun Gao, Yan Li, Bo School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Academic Affairs Office Shandong Polytechnic Jinan 250104 China

ISBN: (纸本)9789400776173

With the development of cloud computing, cloud security problem has become a hot topic. Some scholars put forward the role access control based on mapping, which is used to solve the leakage problem of data storing in the cloud. This paper briefly describes the cloud computing and traditional access control model based on the latest research. Then the paper sums up the work and puts forward a new kind of access control model based on the hop named HBAC. It is based on the role access control that based on mapping. It is used to control the length of path to access the data in outer domain. At last, the paper gives the concrete steps to describe the principle of its operation in detail. And this paper makes a comparison with other related researches. Then this paper summarizes the advantages and disadvantages of HBAC. © Springer Science+Business Media Dordrecht 2014.

关键词： Mapping

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A multi-objective biogeography-based optimization with mean value migration operator

A multi-objective biogeography-based optimization with mean ...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Zheng, Xiang-Wei Gao, Kai-Ge Wang, Xiao-Guang Ma, Chi-Zhu School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China School of Communication Shandong Normal University Jinan China

ISBN: (纸本)9789400776173

Considering its successful application in solving discrete single objective problems, biogeography-based optimization (BBO) is considered as a new promising intelligent algorithm. Therefore, many studies are conducted to apply it to solve multi-objective optimization problems (MOPs). However, these improved BBOs are not always effective because of the complexity of MOPs. A multi-objective biogeography-based algorithm with mean value migration operator named MVBBO is proposed in this paper. In MVBBO, mean value theory and new boundary constraint rule are adopted to extend the range of feasible domain. Meanwhile, mutation operator and Ε-dominance-based archive strategy are employed to achieve better convergence and diversity. Simulation on benchmark functions shows that the proposed MVBBO's final Pareto solution set is better than NSGA-II and other improved multi-objective BBOs in convergence and distribution of Pareto solutions. © Springer Science+Business Media Dordrecht 2014.

关键词： Heuristic algorithms

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A community evolution model based on visibility graph 34

A community evolution model based on visibility graph

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34th Chinese Control Conference, CCC 2015

作者： Hong, Wang Yan-Shen, Sun School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China Department of Earth Sciences Zhejiang University Hangzhou China

ISBN: (纸本)9789881563897

One of the most important work to analyze networks is community detection. We present a dynamic community discovery method based on Visibility Graph. Firstly, we put forward related definitions of Visibility Graph for multi-dimensional time series. Then, we present algorithms to describe how to use Visibility Graph in finding communities in complex networks. Finally, we present algorithms to find dynamic multi-relational communities. We apply our method in some real data sets. Experimental results show that our methods do better for finding dynamic communities in complex networks. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： community discovery community evolution complex network visibility graph

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Identity-based aggregate signcryption in the standard model from multilinear maps

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Frontiers of computer Science 2016年第4期10卷 741-754页

作者： Hao WANG Zhen LIU Zhe LIU Duncan S. WONG School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Labe ratory for Novel Distributed Computer Software Technology Jinan 250014 China Security and Data Sciences Hong Kong Applied Science and Technology Research Institute (ASTRI) Hong Kong China Laboratory of Algorithmics Cryptology and Security (LACS) University of Luxembourg Luxembourg L-1359 Luxembourg

Signcryption is a public key cryptographic method that achieves unforgeability and confidentiality simultaneously with significantly smaller overhead than that required by ＂digital signature followed by public key encryption＂. It does this by signing and *** a message in a single step. An aggregate signcryption scheme allows individual signcryption ciphertexts intended for the same recipi- ent to be aggregated into a single （shorter） combined ciphertext without losing any of the security guarantees. We present an aggregate signcryption scheme in the identity-based setting using multilinear maps, and provide a proof of security in the standard model. To the best of our knowledge, our new scheme is the first aggregate signcryption scheme that is secure in the standard model.

关键词： identity-based aggregate signcryption multilinear maps standard model GGH framework

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ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

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computer Systems Science & Engineering 2021年第3期36卷 537-549页

作者： Yanyun Jiang Yuanjie Zheng Xiaodan Sui Wanzhen Jiao Yunlong He Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinan250358China Key Laboratory of Intelligent Computing&Information Security in Universities of Shandong Shandong Provincial Key Laboratory for Novel Distributed Computer Software TechnologyInstitute of Biomedical SciencesShandong Normal UniversityJinan250358China Shandong Provincial Hospital Affiliated to Shandong University Jinan250021China INSA Lyon University of LyonCNRSInsermVilleurbanne69621CedexFrance

Multispectral imaging (MSI) technique is often used to capture imagesof the fundus by illuminating it with different wavelengths of light. However,these images are taken at different points in time such that eyeball movementscan cause misalignment between consecutive images. The multispectral imagesequence reveals important information in the form of retinal and choroidal bloodvessel maps, which can help ophthalmologists to analyze the morphology of theseblood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deeplearning framework called “Adversarial Segmentation and Registration Nets”(ASRNet) for the simultaneous estimation of the blood vessel segmentation andthe registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills theblood vessel segmentation task, and (ii) A registration module R that estimatesthe spatial correspondence of an image pair. Based on the segmention-drivenregistration network, we train the segmentation network using a semi-supervisedadversarial learning strategy. Our experimental results show that the proposedASRNet can achieve state-of-the-art accuracy in segmentation and registrationtasks performed with real MSI datasets.

关键词： Deep learning deformable image registration image segmentation multispectral imaging(MSI)

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SWRR:The Link Scheduling Algorithm Based on Weighted Round-Robin

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computers, Materials & Continua 2019年第6期59卷 965-982页

作者： Tianbo Lu Ru Yan Chao Li Lihua Yin Hao Chen Xieyu Zou School of Software Engineering Beijing University of Posts and TelecommunicationsBeijing100876China Key Laboratory of Trustworthy Distributed Computing and Service(Beijing University of Posts and Telecommunications) Ministry of EducationBeijing100876China Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Department Computer Science and Engineering The University of Texas at ArlingtonArlington76091USA

With the rapid development of the Internet,people pay more and more attention to the protection of *** second-generation onion routing system Tor is the most commonly used among anonymous communication systems,which can be used to protect user privacy *** recent years,Tor’s congestion problem has become the focus of attention,and it can affect Tor’s performance even user ***,we investigate the causes of Tor network congestion and summarize some link scheduling algorithms proposed in recent *** we propose the link scheduling algorithm SWRR based on WRR(Weighted Round Robin).In this process,we design multiple weight functions and compare the performance of these weight functions under different congestion conditions,and the appropriate weight function is selected to be used in our algorithms based on the experiment ***,we also compare the performance of SWRR with other link scheduling algorithms under different congestion conditions by experiments,and verify the effectiveness of the algorithm SWRR.

关键词： Weighted Round-Robin Tor congestion control link scheduling anonymous communication

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