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International Conference on Multimedia Information Networking and Security (MINES)

作者： Yu Yao Wen-long Xiang Hao Guo Ge Yu Fu-xiang Gao Key Laboratory of Medical Image Computing Ministry of Education School of Information Science and Engineering Northeastern University Shenyang China

Due to the vulnerability of computer system, Internet worm is still greatly threatenning network security. It is found that the spread of worm regularly change because of the different space distributions of hosts and this phenomenon is defined as diurnal pattern. Based on diurnal pattern, two worm propagation models, namely simple diurnal forced model and complicated diurnal forced one, are constructed to describe and predict worm propagation. To verify the accuracy of them, Conficker dataset is adopted to obtain the practical curves of worm propagation. Through comparisons of numerical curves from models and practical curves, it is proved that simple model is good in describing the initial stage of worm propagation and complicated model can accurately predict the whole worm propagation.

关键词： Grippers Numerical models Computational modeling Security Predictive models Mathematical model Data models

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Neurological rehabilitation of stroke patients via motor imaginary-based brain-computer interface technology

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Neural Regeneration Research 2011年第28期6卷 2198-2202页

作者： Hongyu Sun Yang Xiang Mingdao Yang Department of Computer Science and Technology Tongji University Shanghai 201804 China College of Information and Electrical Engineering Shandong University of Science and Technology China Key Laboratory of Embedded System and Service Computing Ministry of Education of the People＇s Republic of China Tongji University Shanghai 201804 China Qingdao Economic ＆ Technical Development Area First People＇s Hospital Qingdao 266555 Shangdong Province China

The present study utilized motor imaginary-based brain-computer interface technology combined with rehabilitation training in 20 stroke patients. Results from the Berg Balance Scale and the Holden Walking Classification were significantly greater at 4 weeks after treatment （P 〈 0.01）, which suggested that motor imaginary-based brain-computer interface technology improved balance and walking in stroke patients.

关键词： brain-computer interface motor cortex neuronal plasticity rehabilitation stroke neural regeneration

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LIR-OSGi: Extends OSGi to support distributed and heterogeneous ubiquitous computing system

LIR-OSGi: Extends OSGi to support distributed and heterogene...

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2011 6th International Conference on Pervasive computing and Applications, ICPCA 2011

作者： Liu, Jinzhao Lu, Xiaojuan Wang, Dan Liu, Xin Lu, Yongqiang Chen, Yu Dept. of Computer Science and Technology Beijing University of Technology Beijing China General Hospital PLA Second Artillery China Research Institute of Information Technology Key Laboratory of Pervasive Computing Ministry of Education Beijing China System Software and Software Engineering Group Laboratory of Pervasive Computing Dept. of Computer Science and Technology Beijing 100084 China

ISBN: (纸本)9781457702082

As an emerging portable service platform, OSGi is now taking a more and more important role in Ubiquitous computing environment. As a module management framework, OSGi provides the functions of dynamic loading and unloading software modules at runtime. But its use is limited because it is centralized and single programming language supported. In this paper we present LIR-OSGi, an extended framework of OSGi, which is designed to add the distribution and programming language independence to OSGi. Meanwhile it is easy to use for developers because of the transparence of service invocation and automation of distribution. Not like OSGi which can be applied only on the Java platform, LIR-OSGi makes programs which may be written in different programming languages be able to call each other transparently so that it can be applied in many different platforms such as DotNet Framework and so on. This brings much convenience to the program development in a distributed and heterogeneous environment. © 2011 IEEE.

关键词： Middleware

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Modeling and analysis of dual-arm cluster tools for wafer fabrication with revisiting

Modeling and analysis of dual-arm cluster tools for wafer fa...

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2011 7th IEEE International Conference on Automation Science and engineering, CASE 2011

作者： Qiao, Yan Wu, NaiQi Zhou, MengChu Department of Industrial Engineering School of Mechatronics Engineering Guangdong University of Technology Guangzhou 510006 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States

ISBN: (纸本)9781457717307

Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cycle time analysis. This paper studies the cycle time analysis problem for such processes. With a Petri net model, it is found that such processes contain local cycles involving only the revisiting PMs and global cycles involving both revisiting and non-revisiting PMs. The process switches between these two types of cycles such that the process never reaches a steady state. Based on this finding, the mechanism underlying such processes is revealed and analytical expressions are given for the calculation of their cycle time. Illustrative examples are presented to show the application of the proposed approach. © 2011 IEEE.

关键词： Atomic layer deposition

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Discrete-Time Simulation Method for Worm Propagation Model with Pulse Quarantine Strategy

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Procedia engineering 2011年 15卷 4162-4167页

作者： Yu Yao Hao Guo Ge Yu Fu-xiang Gao Key Laboratory of Medical Image Computing (Ministry of Education) Northeastern University Shenyang 110819 China School of Information Science and Engineering Northeastern University Shengyang 110819 China

In this paper, discrete-time simulation method for worm propagation model with pulse quarantine strategy is proposed. Such method is firstly applied to traditional Kermack-Mckendrick model and is verified to be effective. Then, considering practical factors, worm propagation model with pulse quarantine strategy is simulated in the method. Through the comparison between numerical curves and simulation ones, discrete-time simulation method can well simulate worm propagation under pulse quarantine strategy. Finally, the algorithm of the method is given and analyzed.

关键词： Worm propagation model with pulse quarantine strategy Discrete-time simulation Algorithm

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Designing and analysis of a new book-lending system based on logic Petri nets

Designing and analysis of a new book-lending system based on...

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2011 International Conference on Electric Information and Control engineering, ICEICE 2011

作者： Xia, Jiang Luan, Wenjing Department of Computer Laiwu Vocational and Technical College Laiwu 271100 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China College of Information Science and Engineering Shandong University of Science and Technology Qingdao 266510 China

A new book-lending system is designed and analyzed based on logic Petri nets in this paper. The batch processing function and indeterminacy of readers are included in the system. Its logic Petri net model is establish... 详细信息

ISBN: (纸本)9781424480395

关键词： Petri nets

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A New MPI Parallel computing Environment Based on Fibre-channel Token-Routing Network for Materials Simulation Research

A New MPI Parallel Computing Environment Based on Fibre-chan...

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2011 International Conference on Advanced Materials in Microwaves and Optics（AMMO 2011）

作者： Xiaohui ZENG Dongsheng LIU Wenlang LUO Lixin FU school of Electronics and Information Engineering Jinggangshan University The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

In order to apply our high efficiency fibre-channel token-routing network(shortened as FC-TR network) to the field of materials simulation research, a new MPI parallel computing environment is proposed and designed, and independently developed a parallel programming environment FC-TR-MPI based on FC-TR network. In FC-TR-MPI, a new method was applied to point-to-point communication that the network communications between processes in the same computing node were changed into memory operations;moreover, according to the underlying software and hardware features of FC-TR network, new algorithms were proposed to optimize the communication performance of some collective communications. Experimental results show that, compared with Sca MPI parallel programming environment, FC-TR-MPI has a higher parallel efficiency and speedup.

关键词： MPI,parallel computing environment,fibre-channel,materials simulation

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Multi-label Learning for Protein Subcellular Location Prediction

Multi-label Learning for Protein Subcellular Location Predic...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Xiao Wang Guo-Zheng Li Jia-Ming Liu Rui-Wei Zhao The Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Control Science and Engineering Tongji University Shanghai China

Protein subcellular localization aims at predicting the location of a protein within a cell using computational methods. Knowledge of subcellular localization of proteins indicates protein functions and helps in identifying drug targets. Prediction of protein subcellular localization is an important but challenging problem, particularly when proteins may simultaneously exist at, or move between, two or more different subcellular location sites. Most of the existing protein subcellular localization methods are only used to deal with the single-location proteins. To better reflect the characteristics of multiplex proteins, we formulate prediction of subcellular localization of multiplex proteins as a multi-label learning problem. We present and compare two multi-label learning approaches, which exploit correlations between labels and leverage label-specific features, respectively, to induce a high quality prediction model. Experimental results on six protein data sets under various organisms show that our described methods achieve significantly higher performance than any of the existing methods. Among the different multi-label learning methods, we find that methods exploiting label correlations performs better than those leveraging label-specific features.

关键词： Proteins Correlation Protein engineering Multiplexing Machine learning Humans Learning systems

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Stochastic seepage field studies on main embankment of Yangtse River in southern Jingzhou zone of China

Stochastic seepage field studies on main embankment of Yangt...

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2011 International Conference on Advanced engineering Materials and Technology, AEMT 2011

作者： Wang, Yajun Zhang, Wohua Jin, Weiliang Wu, Changyu Ren, Dachun School of Naval Architecture and Civil Engineering Zhejiang Ocean University Zhoushan 316000 China Key Laboratory of Soft Soils and Geoenvironmental Engineering Zhejiang University Ministry of Education Hangzhou 310027 China College of Civil Engineering and Architecture Zhejiang University Hangzhou 310027 China Yangtze River Scientific Research Institute Wuhan 430010 China

ISBN: (纸本)9783037851944

Implemented, based on practical engineering projects, is a statistical analysis of strata soil characteristics and geological columns sampled from the main embankment of Yangtse Rive in southern Jingzhou zone of China. Furthermore, it was verified under Kolomogorov-Smirnov theory that this assumption, namely, the statistical hypothesis of Gaussian probability distribution for random permeability tensors of soils to be submitted into the stochastic seepage field simulation would be accepted by the statistical testing. By the help of numerical analysis for stochastic seepage fields simulations using three dimensional finite element method as well as the rationality of simulated stochastic results, investigated were various statistical characteristics and random natures in random seepage fields of the main embankment of Yangtse Rive in southern Jingzhou zone of China. Meanwhile, the developed model was also examined through statistical testing. Especially, as a stochastic boundary condition, the random variation of upstream and downstream water level was taken into account of three-dimensional finite element model in practical analysis for the random seepage field simulations, by which, it has been realized deeply to describe disturbed effects of the boundary randomness due to variability of downstream and upstream water level over variabilities of simulated results presented by vector series of the random seepage field. Furthermore, the function of some safeguards to set up against the seepage problem, such as sheet-pile breakwater and catch-water, as the turbulence of complex boundary condition together with the effects of variability of soil permeability has been analyzed for description of influence of them on the hydraulic potential distributed in the random seepage field and the random evolution of stochastic seepage field under these comprehensive aspects has also been compared with the result obtained by determinate analysis for the corresponding steady seepage

关键词： Finite element method

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A MapReduce based parallel SVM for large scale spam filtering

A MapReduce based parallel SVM for large scale spam filterin...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Caruana, Godwin Li, Maozhen Qi, Man School of Engineering and Design Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Department of Computing Canterbury Christ Church University Canterbury Kent CT1 1QU United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781612841816

Spam continues to inflict increased damage. Varying approaches including Support Vector Machine (SVM) based techniques have been proposed for spam classification. However, SVM training is a computationally intensive process. This paper presents a parallel SVM algorithm for scalable spam filtering. By distributing, processing and optimizing the subsets of the training data across multiple participating nodes, the distributed SVM reduces the training time significantly. Ontology based concepts are also employed to minimize the impact of accuracy degradation when distributing the training data amongst the SVM classifiers. © 2011 IEEE.

关键词： Support vector machines

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