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5th International Conference on Wireless Communications, Networking and Mobile computing, WiCOM 2009

作者： Xiaomei, Dong Xiaohua, Li Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang Liaoning China School of Information Science and Engineering Northeastern University Shenyang Liaoning China

ISBN: (纸本)9781424436934

In order to solve data security issues in wireless sensor networks, an authentication method for self nodes based on digital watermarking technique for wireless sensor networks was proposed. The algorithms for identity generation, embedding and detecting were designed. According to the authentication model proposed, the identity of sending node was generated by transforming a key and the data collection time. The transforming result formed the watermark, which was embedded into the sending data. The receiving node judges the authenticity of the data by verifying this watermark. Once the watermark was detected, the data would be stored and transmitted. Otherwise the data would be discarded. Analysis for the security and energy consumption of the algorithms and experimental results show that these algorithms are effective and practicable. The authentication algorithms are also robust enough to resist the process of aggregations such as sampling and summarization. ©2009 IEEE.

关键词： Energy utilization

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Bifurcation in a delayed worm propagation model with birth and death rates

Bifurcation in a delayed worm propagation model with birth a...

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2012 International Conference on Systems and Informatics, ICSAI 2012

作者： Yao, Yu Zhang, Nan Gao, Fu-Xiang Yu, Ge Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang 110819 China School of Information Science and Engineering Northeastern University Shenyang 110819 China

ISBN: (纸本)9781467301992

In this paper, a delayed worm propagation model with birth and death rates is discussed. The number of system reinstallations may be increased when the hosts get unstable (infected or quarantined). In view of such situation, dynamic birth and death rates are introduced. Afterwards, the stability of the positive equilibrium is studied. Through the theoretical analysis, it is proved that the model is locally asymptotically stable without time delay. Moreover, a bifurcation appears when time delay t passes a constant value which means that the worm propagation system is unstable and uncontrollable. Thus, the time delay should be decreased in order to predict or eliminate the worm propagation. Finally, a numeric simulation is presented which fully supports our analysis. © 2012 IEEE.

关键词： Time delay

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Modelling and analysis the worm propagation with variable infection rate

Modelling and analysis the worm propagation with variable in...

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2014 International Conference on Communication Technology and Application, CTA 2014

作者： Yao, Y. Wang, Y. Zhang, Y.Y. Gao, F.X. Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University Shenyang 110004 China College of Information Science and Engineering Northeastern University Shenyang 110819 China

ISBN: (纸本)9781845649302

Previous models regarded infection rate as a constant which failed to catch the dynamical process of the infection rates. In this paper, we proposed a SIQRS model with the variable infection rate for the first time. Then we built the corresponding equation of worm propagation and analyzed the existence and stability of worm-free equilibrium. Moreover, in order to verify the effectiveness of the new model, we showed the numerical analysis. The results of numerical analysis show the SIQRS model with the variable infection rate is consistent with the process of the worm propagation more realistically. Finally, we gave some useful strategies which may be applied to constrain the spread of Internet worms. © 2014 WIT Press.

关键词： Numerical analysis

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Detecting positive opinion leader group from forum

Detecting positive opinion leader group from forum

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13th International Conference on Web-Age Information Management, WAIM 2012

作者： Song, Kaisong Wang, Daling Feng, Shi Wang, Dong Yu, Ge School of Information Science and Engineering Northeastern University Shenyang 110819 China Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang 110819 China

ISBN: (纸本)9783642322808

Forum has long been the main way of communication, and more and more users publish their opinions by it. The most influential users or opinion leaders will contribute to the formation of information, especially the positive influential users who can guide public opinions and make positive influence. Positive Opinion Leader Group (POLG) represents a group of users, each of who expresses the similar content and same sentiment orientation with their followers to a great extent, who are regarded as the most influential men during the information dissemination process. However, most existing researches pay less attention to the implicit relationship, heterogeneous structure and positive influence. In this paper, we focus on modeling multi-themes user network of forum with explicit and implicit links for this purpose. In detail, we put forward a data structure Longest Sequence Phrase Tree (LSP-Tree) for representing comments on forum, measuring the similarity between comments based on LSP-Tree to obtain implicit links, and further detecting positive opinion leader group. Experiments using dataset from Tianya forum show that our method can detect positive opinion leaders group effectively and efficiently. © 2012 Springer-Verlag.

关键词： Sentiment analysis

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An approach of text-based and image-based multi-modal search for online shopping

An approach of text-based and image-based multi-modal search...

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13th International Conference on Web-Age Information Management, WAIM 2012

作者： Li, Renfei Wang, Daling Zhang, Yifei Feng, Shi Yu, Ge School of Information Science and Engineering Northeastern University Shenyang 110819 China Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang 110819 China

ISBN: (纸本)9783642322808

Nowadays, more and more people prefer online shopping to physical store shopping for its convenience, cheapness and timesaving. Customers visit some commercial shopping websites, and select their favorite commodities by accessing links or retrieving by search box. However, in our real life, most online shopping websites provide a simple and single text retrieval method only, to some extent it's difficult for customers to submit query and retrieve satisfactory results. In this paper, a multi-modal search approach combining text-based and image-based search techniques is presented. Besides text search, a two-stage image search approach is proposed, which utilizes basic features consisting of color and textural features to filter mismatching images in first stage, and further uses SIFT features for accurate search in second stage. Moreover, a prototype system has been developed for multi-modal search on online shopping websites. By submitting some words, phrases, images or their combination, customers can search out what they want. The experiments compared with traditional algorithms based on single visual feature validate that our approach and multi-modal search prototype system are effective, and the retrieval results can satisfy customers' requirements well for online shopping. © 2012 Springer-Verlag.

关键词： Sales

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Multi-information fusion for uncertain semantic representations of videos 10

Multi-information fusion for uncertain semantic representati...

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Proceedings of the 19th ACM international conference on Information and knowledge management

作者： Lu, Bo Wang, Guoren Gong, Xiaofeng Key Laboratory of Medical Image Computing Ministry of Education School of Information Science and Engineering Northeastern University China School of Information Science and Engineering Fudan University China

ISBN: (纸本)9781450300995

Concept-Based Semantic Video Retrieval (CBSVR) usually uses semantic representations of videos to handle user's retrieval requests. It is obvious that the accuracy of semantic video retrieval depends on results of concept detectors, but the detection results are usually imprecise and uncertain. In this paper, we propose a multi-information fusion approach (MIF) which is dedicated to solving the problem of uncertain semantic representations of videos for improving retrieval accuracy. This approach is based on a novel two-phase framework that involves the inferring phase and the fusing phase. In the inferring phase, the most relevant concepts to the user's query are chosen by exploring both contextual correlation among concepts and temporal correlation among shots. In the fusing phase, the inferred probabilities of the related concepts are fused together with the detection results via minimization of potential function to refine the detector prediction. Experiments on the widely used TRECVID datasets demonstrate that our approach can effectively improve the accuracy of semantic concept detection. © 2010 ACM.

关键词： Semantics

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Geometric constraint solving based on cell membrane optimization

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Information Technology Journal 2012年第4期11卷 496-499页

作者： Cao, Chunhong Chuan, Tang Zhao, Dazhe Zhang, Bin College of Information Science and Engineering Northeastern University Shenyang 110819 China State Key Laboratory of Geohazard Prevention and Geo Environment Protection Chengdu University of Technology Chengdu 610059 China Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang Lining 110819 China State Key Laboratory for Novel Software Technology Nanjing University China

Geometric constraint problem is equivalent to the problem of solving a set of nonlinear equations substantially. The constraint problem can be transformed to an optimization n problem. We can solve the problem with cell membrane optimization. By studying the characteristics of cell membrane and the mode of material transfer, proposed a new global optimization algorithm: Cell Membrane Optimization (CMO), combined with global optimization algorithm. The experiment shows that it can improve the geometric constraint solving efficiency and possess better convergence property than the compared algorithms. © 2012 Asian Network for Scientific Information.

关键词： Global optimization

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Minimum spanning tree fusing uniform sub-sampling points and high-dimensional features for medical image registration

Minimum spanning tree fusing uniform sub-sampling points and...

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International Conference on Bioinformatics and Biomedical Engineering

作者： Zhang, Shao-Min Zhi, Li-Jia Zhao, Da-Zhe Zhao, Hong College of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang Liaoning 110004 China

ISBN: (纸本)9781424450893

In this paper, we propose a novel registration algorithm based on minimal spanning tree. First, we extracted uniform sub-sampling points from image. Second, based on the feature points, in addition to using pixel intensity, we also added region based feature to include more spatial information. The proposed method is evaluated by performing registration experiments on BrainWeb database. The experimental results show that the proposed method achieves better robustness while maintaining good registration accuracy, compared to the conventional normalized mutual information (NMI) based registration method. © 2011 IEEE.

关键词： image registration

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Noninvasive prediction of pulmonary hypertension based on finite element analysis and machine learning

Noninvasive prediction of pulmonary hypertension based on fi...

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2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Zhao, Shuo Zhang, Haoran Wang, Dongyang Xu, Lisheng Qi, Lin School of Sino-Dutch Biomedical and Information Engineering Northeastern University Shenyang110169 China Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang110169 China

ISBN: (纸本)9781538680698

Geometry morphological features (GMF) of the ventricles were often used to predict the pulmonary hypertension (PH) in the clinical process. This study analyzed the relationship between right ventricular pressure (RVP) and ventricular morphological changes in simplified statistical shape models which were analyzed with finite element analysis method, and the RVP higher than 40 mmHg was adopted as a criterion to determine the presence of PH. Ten GMF features were utilized and three classifiers (decision tree, SVM and random forest) were performed to predict PH and achieved recognition accuracy of 90.7%, 91.4% and 93.5%, respectively. Through this study, the PH can be identified by morphometric features measured from ventricular images. © 2018 IEEE.

关键词： Finite element method

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A new topic filter based on maximum entropy model

A new topic filter based on maximum entropy model

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Chen, Chen Liu, Huilin Wang, Guoren Yu, Lili Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Liaoning Shenyang 110004 China College of Information Science and Engineering Northeastern University Liaoning Shenyang 110004 China

ISBN: (纸本)9780769537351

Because of the large web scale and the information requirement for special field, focuse2825453011d search has attracted more and more people. For the complexity of natural language, there are ambiguous for a word itself, and which will take some trouble for topic filter. For the two main problems, false positive and false negative, this paper proposes two new methods separately. By machine learning, we construct a guide model with the maximum entropy principle, by which we can filter the noise pages out easily and by KNN method, the false negative problem will be solved easily. The experiment shows that our model or method really outperforms the base-line method. © 2009 IEEE.

关键词： Learning systems

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