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18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Tu, Xinhui Luo, Jing Li, Bo He, Tingting Gu, Jinguang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Department of Computer Science Central China Normal University Wuhan China State Key Lab. of Software Engineering Wuhan University Wuhan China

ISBN: (纸本)9783319066042

Most existing language modeling approaches are based on the term independence hypothesis. To go beyond this assumption, two main directions were investigated. The first one considers the use of the proximity features that capture the degree to which search terms appear close to each other in a document. Another one considers the use of semantic relationships between words. Previous studies have proven that these two types of information, including term proximity features and semantic relationships between words, are both useful to improve retrieval performance. Intuitionally, we can use them in combination to further improve retrieval performance. Based on this idea, this paper propose a positional translation language model to explicitly incorporate both of these two types of information under language modeling framework in a unified way. In the first step, we present a proximity-based method to estimate word-word translation probabilities. Then, we define a translation document model for each position of a document and use these document models to score the document. Experimental results on standard TREC collections show that the proposed model achieves significant improvements over the state-of-the-art models, including positional language model, and translation language models. © 2014 Springer International Publishing.

关键词： information retrieval

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Prediction of hot regions in protein-protein interaction based on the Gi statistics and cascade classifier

Prediction of hot regions in protein-protein interaction bas...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Bingqin Tan Xiaolong Zhang Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology

ISBN: (纸本)9781479956708

There is an important relationship between the stability of protein complex and hot region. Research has shown that in protein-protein interaction (PPI), residues are denser around the hot region. Therefore, this paper proposed an algorithm based on Gi statistics, regional division rule and regional amplification principle to form residue dense region (RDR);Then, according to the results of cascade classifier composed of Naive Bayes and Back-Propagation (BP) neural network classifier, non-hotspot residues in RDRs were removed;At length, we used binding free energy change value calculated from Robetta Server to modify predicted hot regions. The experimental results showd that the proposed method can effectively improve the prediction accuracy on hot regions.

关键词： Protein-protein interaction Hot region Gi statistics Cascade classifier Robatta

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A novel spectrum sharing scheme for industrial cognitive radio networks: From collective motion perspective

A novel spectrum sharing scheme for industrial cognitive rad...

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IEEE International Conference on Communications (ICC)

作者： Feilong Lin Cailian Chen Li'an Li Honghua Xu Xinping Guan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai P.R. China Shanghai Jiao Tong University Shanghai CN

Spectrum sharing is a promising technique responsible for providing efficient and fair spectrum allocation. Considering the unevenness phenomenon of spectrum usage in industrial wireless networks, a novel spectrum sharing scheme, in the framework of industrial cognitive radio network (ICRN), is proposed in this paper via an autonomous switching technique to equalize the spectrum usage and increase the spectrum access possibility of new requests. The autonomous switching technique borrows the idea from the fact that specific collective motion can be achieved by local actions of individuals in many biological systems. The accessed nodes sense the limited spectrum range around their central frequency and then make the decision of channel switching autonomously. Several sensing report based rules are presented to facilitate the switching decision in order to equalize the channel usage among the sensing range of each node. It is demonstrated that by using these rules the spectrum usage becomes more even, and thus the spectrum utilization and fairness are both improved. Numerical examples are given to show the effectiveness of the proposed spectrum sharing scheme.

关键词： Switches Sensors Ad hoc networks Cognitive radio Wireless sensor networks Monitoring

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Hierarchical multi-feature fusion for multimodal data analysis

Hierarchical multi-feature fusion for multimodal data analys...

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作者： Zhang, Hong Chen, Li Liu, Jun Yuan, Junsong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China Institute for Media Innovation Nanyang Technological University Singapore Singapore School of EEE Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781479957514

Multimedia data is usually represented with different low-level features, and different types of multimedia data, namely multimodal data, often coexist in many data sources. It is interesting and challenging to learn comprehensive semantics from multiple low-level features for multimodal data analysis. In this paper, we propose a new algorithm, namely hierarchical multi-feature fusion for multimodal data semantics understanding. Our approach explores intra-modality structural information derived from each type of feature, and further proposes transductive inter-modality fusion strategy, which analyzes canonical correlation between different modalities. Extensive experiments are conducted on collected multimodal database for data classification application. The experiment results show that the performance of our algorithm is remarkable and demonstrate its superiority over several existing algorithms. © 2014 IEEE.

关键词： Semantics

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Networked predictive control of Hammerstein systems

Networked predictive control of Hammerstein systems

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第三十三届中国控制会议

作者： Tian-tian Wang Yu Kang Yun-Bo Zhao Department of Automation and CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China College of Information Engineering Zhejiang University of Technology

ISBN: (纸本)9781479947249

This article mainly deals with the control and stability problems of networked Hammerstein with nonlinear input. A novel predictive controller design method is proposed to offset the effect of network delay and data dropout. The controller gain which depends on the time delay of the feedback channel is time-variant. Since we assume that the state is not measurable, the control signal is based on the state estimated by the observer. As for the nonlinear part of the input,We assume it satisfies a sector constraint and treat it as a input inaccuracy. Theoretical results are presented for the closed-loop stability by modeling the system as time-delay Hammerstein system with nonlinear inputs. A second-order Hammerstein system is implemented to show the enhanced performance of this control method.

关键词： Networked control system,Hammerstein,nonlinear,delay,dropout

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Feedback structure based entropy approach for multiple-model estimation

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Chinese Journal of Aeronautics 2013年第6期26卷 1506-1516页

作者： Shen-tu Han Xue Anke Guo Yunfei State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Institution of Information and Control Hangzhou Dianzi University Institution of Information and Control Hangzhou Dianzi University

The variable-structure multiple-model（VSMM）approach,one of the multiple-model（MM）methods,is a popular and effective approach in handling problems with mode *** model sequence set adaptation（MSA）is the key to design a better ***,MSA methods in the literature have big room to improve both theoretically and *** this end,we propose a feedback structure based entropy approach that could fnd the model sequence sets with the smallest size under certain *** fltered data are fed back in real time and can be used by the minimum entropy（ME）based VSMM algorithms,i.e.,***,the full Markov chains are used to achieve optimal ***,the myopic method together with particle flter（PF）and the challenge match algorithm are also used to achieve sub-optimal solutions,a trade-off between practicability and *** numerical results show that the proposed algorithm provides not only refned model sets but also a good robustness margin and very high accuracy.

关键词： Feed back Maneuvering tracking Minimum entropy Model sequence set adaptation Multiple-model estimation

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Step-wise sequential phase partition algorithm and on-line monitoring strategy for multiphase batch processes

Step-wise sequential phase partition algorithm and on-line m...

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第25届中国控制与决策会议

作者： Chunhui Zhao Youxian Sun State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355322

As batches operate at different statuses across different phases, it can be advantageous to partition the whole batch process into different phases and characterize them separately by multiple local phase models. The conventional clustering-based phase division algorithm overlooks the time sequence of batch operation which thus may mix different time segments located within a batch into one phase. Moreover, it is hard to capture the transitions between neighboring phases. In the present work, an automatic step-wise sequential phase division algorithm is developed to capture the changes of process characteristics along time direction within each batch. Its theoretical support is framed and the related statistical characteristics are analyzed. Using this algorithm, major phases are captured and the transition regions are separated from them as separate time regions. Thus, different statistical models are developed to reflect their time-varying characteristics. The online monitoring system is set up, which can realtime judge the affiliation of each new sample and check its status by adopting the proper statistical model. Comprehensive comparison is conducted between the proposed algorithm and clustering-based phase division algorithm. Its feasibility and performance are illustrated by an injection molding process which presents typical multiphase nature as well as transition characteristics.

关键词： multiphase batch processes sequential phase partition transition patterns online process monitoring multivariate statistical analysis.

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Admissible Rate Region for Network Encoding of Independent information Sources

Admissible Rate Region for Network Encoding of Independent I...

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International Conference on Computer Modeling and Simulation, UKSIM

作者： Zhifang Wu Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology Wuhan University of Science and Technology

ISBN: (纸本)9781479949212

Network coding (NC) is one of the promising techniques to improve network throughput towards the Shannon limit. NC has been proven to be able to achieve the max-flow min-cut bound for single source multicast networks. For multi-information-source multicast networks, however, the question of how to use NC is still to be answered. In this paper we will focus on the simple case of multi-information-source independent network encoding. The region of admissible rate set of this case will be provided. With this rate region obtained, more advanced network encoding algorithms for multi-information source multicast networks can be further developed.

关键词： Network coding Channel coding Decoding Polynomials Joints Receivers

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Journal of Computational information systems 2014年第17期10卷 7259-7267页

作者： Qi, Xiang Wu, Wei Huang, Yu Huang, Tinglei Fu, Kun Wang, Hongqi Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Institute of Electronics University of Chinese Academy of Sciences Beijing China University of Science and Technology of China Hefei China

In this paper we propose the rating Correlated Topic Model for rating-based collaborative filtering, which improves the performance of the state-of-the-art Latent Semantic Models in two aspects: (1), making the prediction accuracy more robust to the topic number K;(2), improving the recommendation quality for users with few existed ratings. We achieve our goals by employing the Logistic Normal distribution to capture the correlation between latent topics following the Correlated Topic Model, as well as modifying the generative process to meet the requirement of rating-based collaborative filtering. We derive a parameter estimation algorithm based on variational inference for the proposal. Experiment results on the Movielens data set demonstrate our model's advantages on both referred aspects.

关键词： Collaborative filtering

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Multiobjective genetic algorithm for optimized DNA sequences for DNA self-assembly

Communications in Computer and Information Science

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Communications in Computer and information Science 2014年 472卷 591-597页

作者： Zhang, Kai Yi, Jiaren Liu, Jun Hu, Wei School of Computer Science Wuhan University of Science and Technology Wuhan Hubei430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China

ISBN: (纸本)9783662450482

DNA sequence design is a very important task for DNA selfassembly technologies, including DNA computing, complex 3D nanostructures and nano-devices design. These experimental DNA molecules must satisfy several combinatorial, thermodynamic and secondary structure criteria, which aim to avoid undesired hybridizations and make the molecular experiment more re-liable and stable. In this paper, the DNA sequence design problem is formulated as a multi-objective optimization problem and solving it using multi-objective genetic algorithm. Moreover, the performance of our algorithm is compared with the other sequence design methods, and the comparison result shows that our algorithm is able to generate higher quality DNA sequences than previously published studies which consider same criteria. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Multiobjective optimization

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