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Fractal and complex network analyses of protein molecular dynamics

Physica A: Statistical Mechanics and its Applications 2014年 416卷 21-32页

作者： Yuan-Wu Zhou Jin-Long Liu Zu-Guo Yu Zhi-Qin Zhao Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan Hunan 411105 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan 411105 China Civil Construction Engineering Department Guangxi University of Science and Technology Liuzhou 545006 China School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane Q4001 Australia

Based on protein molecular dynamics, we investigate the fractal properties of energy, pressure and volume time series using the multifractal detrended fluctuation analysis (MF-DFA) and the topological and fractal properties of their converted horizontal visibility graphs (HVGs). The energy parameters of protein dynamics we considered are bonded potential, angle potential, dihedral potential, improper potential, kinetic energy, Van der Waals potential, electrostatic potential, total energy and potential energy. The shape of the h ( q ) curves from MF-DFA indicates that these time series are multifractal. The numerical values of the exponent h ( 2 ) of MF-DFA show that the series of total energy and potential energy are non-stationary and anti-persistent; the other time series are stationary and persistent apart from series of pressure (with H ≈ 0.5 indicating the absence of long-range correlation). The degree distributions of their converted HVGs show that these networks are exponential. The results of fractal analysis show that fractality exists in these converted HVGs. For each energy, pressure or volume parameter, it is found that the values of h ( 2 ) of MF-DFA on the time series, exponent λ of the exponential degree distribution and fractal dimension d B of their converted HVGs do not change much for different proteins (indicating some universality). We also found that after taking average over all proteins, there is a linear relationship between 〈 h ( 2 ) 〉 (from MF-DFA on time series) and 〈 d B 〉 of the converted HVGs for different energy, pressure and volume.

关键词： Protein molecular dynamics Multifractal detrended fluctuation analysis Horizontal visibility graph Fractal analysis Degree distribution

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NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON MIXED MODEL

NEW WORD DETECTION AND EMOTIONAL TENDENCY JUDGMENT BASED ON ...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Chongyuan Sun Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

The paper studies a new method for Chinese new word detection and emotional tendency judgment based on mixed model and proposes a new word generation *** we construct conditional random fields(CRFs) to recognize the new words,lead-in features based on character combined with the crowd sourcing network *** then express word as a word vector based on neural network language model(NNLM) to judge the new word emotional *** experimental results show that the method can improve the precision and recall of the new word detection with a good system performance,and it also provides a new way for forecasting the public mood.

关键词： New Word Detection Conditional Random Fields Emotional Tendency Judgment Neural Network Language Model

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Dynamic facial expression recognition based on K-order emotional intensity model

Dynamic facial expression recognition based on K-order emoti...

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IEEE International Conference on Robotics and Biomimetics

作者： Changqin Quan Yao Qian Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China P.R. The Japan Federation of Engineering Societies University of Tokushima Shinkura-cho Tokushima Japan

ISBN: (纸本)9781479973989

With the development of artificial intelligence and pattern recognition, facial expression recognition plays a more and more important role in intelligent human-computer interaction. In this paper, we present a model named K-order emotional intensity model (K-EIM) which is based on K-Means clustering. Different from other related works, the proposed approach can quantify emotional intensity in an unsupervised way. And then the output from K-EIM is encoded. The coding results are used for the dynamic facial expression recognition. The experiment is conducted on Cohn-Kanade facial expression database and the support vector machine classifier is used for facial expression classification. This method achieved a dynamic facial expression recognition accuracy of 88.32% which suggest that the proposed method shows better performance and proves its validity. Moreover, effect of different segments of emotional intensity is also discussed in the paper.

关键词： Face recognition Encoding Accuracy Emotion recognition Principal component analysis Training Feature extraction

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MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFICATION WITH FUZZY SVM

MODELING BLOG USER FOR CHINESE MICRO-BLOG SENTIMENT CLASSIFI...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Chengcheng Li Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

Micro-blog is easily posted and communicated because of its short text ***,its brevity limits the feature *** paper presents a blogger modeling method for Chinese micro-blog sentiment *** paper would adopt a multidimensional strategy to accomplish the feature extraction *** with traditional feature extraction methods and combined with the interactive property of blog,the blog comment will be considered as the performance characteristic of micro-blog emotion *** comes to comments content and the relationship between commentators and micro-bloggers while it extracts the micro blogging text *** last,the paper adopts fuzzy SVM model to reduce the sensation of noise points and outliers on classification *** results demonstrate the effectiveness of the multidimensional feature extraction method on sentiment classification and the classify effect of fuzzy SVM is better than SVM.

关键词： sentiment classification multidimensional fuzzy SVM

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MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BASED ON DEEP MODEL

MINING THE IMPACT OF SOCIAL NEWS ON THE EMOTIONS OF USERS BA...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Xiao Sun Fei Gao Fuji Ren Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and InformationHefei University of Technology Faculty of Engineering University of Tokushima2-1 Minami-JosanjimaTokushima 770-8506Japan

ISBN: (纸本)9781467369541

In this paper,Deep Belief Nets(DBN) model and Support Vector Machine(SVM) are used to mine the features hidden in social news,which can influence the emotions of *** feature selection methods for text modeling are used to build the input vectors of DBN,with the purpose of keeping the text information to the greatest *** take advantage of the deep features abstracted by DBN to build social news text *** the same time,three optimal models are used as inputs of SVM to train and classify the social *** get a conclusion that DBN not only reduces the dimension of original features,but also makes the abstracted features with more text information and shows better performance in determining the influence on people' s emotions by social news.

关键词： Deep Belief Network(DBN) Restricted Boltzmann Machine(RBM) Impacts on Emotion Social News

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Research on aggregated multicast based on wide-sense circuit tree

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2013 3rd International Symposium on Chemical engineering and Material Properties, ISCEMP 2013

作者： Zhang, Xiao Bo Lan, Ju Long Chen, Yue Li, Chao Ling State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450000 China China National Digital Switching System Engineering and Technological Research Center Zhengzhou 450000 China

ISBN: (纸本)9783037858363

To achieve the scalability and Quality of Service (QoS) of multicast service, a Wide-Sense Circuit Tree (WSCT) based on Aggregated Multicast Tree is proposed. By aggregating multicast traffics of the same class, WSCT can efficiently reduce the forwarding states of routing nodes and then improve the multicast scalability. By using Wide-Sense Circuit (WSC) to transfer data packages, MSCT can also improve the package forwarding efficiency and provide QoS. © (2013) Trans Tech Publications, Switzerland.

关键词： Quality of service

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Tenside als Reaktionsmedien zur Synthese von kristallinen anorganischen Materialien

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Angewandte Chemie 2015年第40期127卷

作者： Wei‐Wei Xiong Qichun Zhang Key Laboratory of Flexible Electronics and Institute of Advanced Materials (IAM) Nanjing Tech University Nanjing 211816 (P.R. China) School of Materials Science and Engineering Nanyang Technological University Singapur 639798 (Singapur) Division of Chemistry and Biological Chemistry School of Physical and Mathematical Sciences Nanyang Technological University Singapur 637371 (Singapur)

Mit Blick darauf, dass Tenside die Form und Größe von Mikro‐ und Nanopartikeln steuern können, sollten sie auch in der Lage sein, das Wachstum von makroskopischen Kristallen zu dirigieren. Dieser Kurzaufsatz fasst jüngste Entwicklungen bei der Verwendung von Tensiden zur Herstellung neuer kristalliner anorganischer Materialien aus dem Bereich der Chalkogenide, Metall‐organischen Gerüstverbindungen und Zeolithanaloga zusammen. Die Rolle der Tenside in den verschiedenen Reaktionssystemen wird diskutiert.

关键词： Chalkogenide Metall‐organische Gerüstverbindungen Reaktionsmedien Tenside Zeolithanaloga

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Research on external storages management of virtual machine

Research on external storages management of virtual machine

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2nd International Conference on Mechanical engineering, Industrial Electronics and Informatization, MEIEI 2013

作者： Wang, Xiao Rui Wang, Qing Xian China National Digital Switching System Engineering and Technological Research Center Zhengzhou 450002 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450002 China

ISBN: (纸本)9783037858905

To deal with the problem of external storages management in multiple virtual machines environment, a system design scheme of external storages management is proposed with the idea of virtual memory management and protocol of object-based Network storage. Experiments showed that virtual partition could be created and repealed dynamic, the capability of partition could be increased dynamic with practical requirement, and write protection based partition could also be realized, flexibility of external storages management is enhanced greatly and usage efficiency also increased notably. © (2013) Trans Tech Publications, Switzerland.

关键词： Network security

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The Synchronization Treatment in Implementing Data-Parallel programming languages on CPUs

The Synchronization Treatment in Implementing Data-Parallel ...

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International Workshop on Intelligent Communication and Social Networks

作者： Feng Yue Jianmin Pang Rongcai Zhao Chao Dai State Key Laboratory of Mathematical Engineering and Advanced Computing

ISBN: (纸本)9781479909735

When implementing data-parallel programming languages such as CUDA, OpenCL on CPUs, synchronization must be simulated correctly. The basic method is thread-based, which means all thread must execute one instruction in turn before execute the next one. In this paper, we propose function splitting to treat synchronization in a coroutine style but not just thread-based. It splits the data-parallel function presented by low-level intermediate representation into several parts by simulating synchronization. We evaluate our method in translating PTX kernels to multi-core CPUs, the result of which shows this method could promotes performance by 15% compared to thread-based method. Our main contribution is a generous synchronization treatment that performs on low-level intermediate code given by a control flow graph in SSA form.

关键词： Data Parallelism Synchronization Thread Function Splitting Low-Level Intermediate Code SSA

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Fractal and multifractal properties of a family of fractal networks

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Journal of Statistical Mechanics: Theory and Experiment 2014年第2期2014卷 P02020-P02020页

作者： Li, Bao-Gen Yu, Zu-Guo Zhou, Yu 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 Xiangtan HUNAN 411105 China School of Mathematical Sciences Queensland University of Technology Brisbane GPO Box 2434 Q4001 Australia

In this work, we study the fractal and multifractal properties of a family of fractal networks introduced by Gallos et al (2007 Proc. Nat. Acad. Sci. USA 104 7746). In this fractal network model, there is a parameter e which is between 0 and 1, and allows for tuning the level of fractality in the network. Here we examine the multifractal behavior of these networks, the dependence relationship of the fractal dimension and the multifractal parameters on parameter e. First, we find that the empirical fractal dimensions of these networks obtained by our program coincide with the theoretical formula given by Song et al (2006 Nature Phys. 2 275). Then from the shape of the τ(q) and D(q) curves, we find the existence of multifractality in these networks. Last, we find that there exists a linear relationship between the average information dimension D(1) and the parameter e. © 2014 IOP Publishing Ltd and SISSA Medialab srl.

关键词： network dynamics networks random graphs

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