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2nd International Conference on information Science and Engineering, ICISE2010

作者： Tan, Ming Wei, Zhen Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei China School of Computer and Information Hefei university of technology Hefei China

ISBN: (纸本)9781424480968

To overcome the drawback that switched Ethernet can not meet the real-time requirements in industrial communications, an improved message transmission model in which switch and the end-nodes control the real-time traffic with Earliest Deadline First (EDF) scheduling was proposed. In addition, a distributed admission control method for periodic messages which is performed by the source and the destination nodes without the modification of the operational features of Ethernet switch was presented. Moreover, a more general schedulability condition for real-time periodic message over switched Ethernet was given and proved by using real-time scheduling theory. © 2010 IEEE.

关键词： Scheduling algorithms

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Combining the missing link: An incremental topic model of document content and hyperlink

Combining the missing link: An incremental topic model of do...

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12th International Asia Pacific Web Conference, APWeb 2010

作者： Ma, Huifang Li, Zhixin Shi, Zhongzhi Line1 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9780769540122

The content and structure of linked information such as sets of web pages or research paper archives are dynamic and keep on changing. Even though different methods are proposed to exploit both the link structure and the content information, no existing approach can effectively deal with this evolution. We propose a novel joint model, called Link-IPLSI, to combine texts and links in a topic modeling framework incrementally. The model takes advantage of a novel link updating technique that can cope with dynamic changes of online document streams in a faster and scalable way. Furthermore, an adaptive asymmetric learning method is adopted to freely control the assignment of weights to terms and citations. Experimental results on two different sources of online information demonstrate the time saving strength of our method and indicate that our model leads to systematic improvements in the quality of classification and link prediction. © 2010 IEEE.

关键词： Websites

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A fixed-point decoding approach for statistical machine translation on mobile terminals

A fixed-point decoding approach for statistical machine tran...

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2010 4th International Universal Communication Symposium, IUCS 2010

作者： Li, Xiang Xu, Jin'an Jiang, Wenbin Liu, Qun Lü, Yajuan School of Computer and Information Technology Beijing Jiaotong University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424478200

The demand for statistical machine translation on mobile terminals is increasing rapidly, but translation speed is restricted by the embedded processors without a floating-point unit. This paper proposes an approach to convert floating-point numbers into fixed-point numbers for SMT decoding on mobile terminals in order to reduce the impact of the processors without a floating-point unit on translation speed. The experiments based on PC and mobile terminal show that this approach ensures the quality of translation and the speed of fixed-point arithmetic operations is 135.6% faster than that of floating-point arithmetic operations. Therefore, this approach can efficiently improve translation speed of SMT systems on mobile terminals with weak ability in floating-point arithmetic operations. ©2010 IEEE.

关键词： Decoding

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Hybrid particle swarm optimized wavelet network for video OCR

Hybrid particle swarm optimized wavelet network for video OC...

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3rd International Symposium on information processing, ISIP 2010

作者： Huang, Tongcheng Yin, Liping Institute of Laser and Information Technology Shaoyang University Shaoyang 422000 China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9780769542614

A hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for Video OCR is presented in this paper. Video OCR is an important task towards enabling automatic content-based retrieval of digital video databases. However, since text is often displayed against a complex background, its detection and extraction is a challenging problem. In this paper, wavelet transformation is done on the different current and the wavelet coefficients are obtained. The wavelet coefficients are given as inputs to the wavelet neural network trained by particle swarm optimization (PSO-WNN). The final network output of real text regions is different from those non-text regions. The experimental results demonstrate the effectiveness of the proposed method. © 2010 IEEE.

关键词： Particle swarm optimization (PSO)

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Sufficient and necessary conditions for Lyapunov stability of Lorenz system and their application

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Science China(information Sciences) 2010年第8期53卷 1574-1583页

作者： LUO Qi 1 , LIAO XiaoXin 2 & ZENG ZhiGang 2 1 College of information and Control, Nanjing University of information Science and technology, Nanjing 210044, China 2 Department of Control Science and Engineering, Huazhong University of Science and technology, Image processing and intelligent Control key laboratory of Education Ministry of China, Wuhan 430074, China 1. College of Information and Control Nanjing University of Information Science and Technology Nanjing 210044 China2. Department of Control Science and Engineering Huazhong University of Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan 430074 China

The sufficient and necessary conditions for Lyapunov stability of the zero equilibrium point of Lorenz system are discussed, and some brief criteria are presented for globally exponential stability, globally asymptotical stability and instability. Furthermore, the behavior of the non-zero equilibrium point of Lorenz system is also investigated, and several sufficient and necessary conditions are provided for locally exponential stability and instability. The established theorems in this paper develop and extend the existing achievements on Lyapunov stability of Lorenz system. In conclusion, by applying the obtained results, some less conservative feedback-control laws are derived to guarantee the globally exponential stability of the chaos control of Chen system, Lu¨ system, Yang-Chen system and Yu-Xia Li system.

关键词： Lorenz system Lyapunov stability sufficient and necessary condition bifurcation values globally exponential synchronization

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Frequent term based peer-to-peer text clustering

Frequent term based peer-to-peer text clustering

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2010 3rd International Symposium on Knowledge Acquisition and Modeling, KAM 2010

作者： He, Qing Li, Tingting Zhuang, Fuzhen Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University Chinese Academy of Sciences China

ISBN: (纸本)9781424480050

Text clustering is an important technology for automatically structuring large document collections. It is much more valuable in peer-to-peer networks. T he high dimensionality of documents means much more communication could be saved if each node could get the approximate clustering result by distributed algorithm instead of transferring them into a center and do the clustering. Most of the existing text clustering algorithms in unstructured peer-to-peer networks are based on K-means algorithm. A problem of those algorithms is that the clustering quality may decreased with the increase of the network size. In this paper, we propose a text clustering algorithm based on frequent term sets for peer-to-peer networks. It requires relatively lower communication volume while achieving a clustering result whose quality will not be affected by the size of the network. Moreover, it gives a term set describing each cluster, which makes it possible for people to have a clear comprehension for the clustering result, and facilitates the users to find resource in the network or manage the local documents in accordance with the whole network. © 2010 IEEE.

关键词： Peer to peer networks

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Parameter learning for multi-factors of entity answer extracting

Parameter learning for multi-factors of entity answer extrac...

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Zong, Huanyun Yu, Zhengtao Mao, Cunli Zou, Junjie Guo, Jianyi School of Information Engineering and Automation Kunming University of Science and Technology Kunming China Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming China

ISBN: (纸本)9781424459346

Entity extraction involves multi-factors, and the different factor has an impact on the answer in varying degrees, this paper presents a machine learning approach to parameter learning for entity answer. Firstly, in view of characteristics of the Question Answering System (QA), we define three elements of the text score, passage score and entity score which influenced the answer extraction, also give the relevant computational method about them. Then collect 400 entity answers of product, person, and organization according to TREC2009 entity task requirements. With the help of search engines, retrieve related pages and calculate the score of the various factors related to the answer respectively. Thereafter compute the score of entity answers according to a linear combination of the various factors. Define an initial score to extract the entity answer and get a sorted list of answers. Finally, mark these entities answer to obtain the correct marked answers corpus, then build parameter learning model by the EM algorithm iterate gradually to find the optimal answer weight of different factors that influenced the answer extraction. We carried on the experiment in the TREC2009 entity task;it shows very good results for this method. The accuracy of entity answer has achieved 88.93%. ©2010 IEEE.

关键词： Parameter estimation

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A noise handling method for hyper surface classification

A noise handling method for hyper surface classification

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2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Li, Tingting Zhuang, Fuzhen He, Qing Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University Chinese Academy of Sciences China

ISBN: (纸本)9781424459346

Hyper surface classification (HSC) based on Jordan Curve Theorem is proven to be a simple and effective method to classify large datasets. Like most of classification algorithms, noise could also impact its accuracy even if the HSC algorithm limits the influence of noise in a local small region. In this paper, we propose a method that intuitively captures the primary goal of improving the accuracy of HSC when trained on noisy training datasets. The proposed method uses a separate pruning set to test whether the hyper surfaces covering few samples are assigned wrong labels due to the existence of noise. And then reassigns them appropriate labels if necessary. We compare the performance of HSC with and without the noise handling method. The promising experimental results indicate that the noise handling method can improve the accuracy of HSC when trained on noisy datasets, while keeping good performance when it is applied to datasets without noise. At the same time, it also reduces the model complexity of HSC to some extent. ©2010 IEEE.

关键词： Classification (of information)

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Learning lexicalized reordering models from reordering graphs

Learning lexicalized reordering models from reordering graph...

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48th Annual Meeting of the Association for Computational Linguistics, ACL 2010

作者： Su, Jinsong Liu, Yang Lü, Yajuan Mi, Haitao Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9781617388088

Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-aligned bilingual corpus by examining the reordering relations of adjacent phrases. Instead of just checking whether there is one phrase adjacent to a given phrase, we argue that it is important to take the number of adjacent phrases into account for better estimations of reordering models. We propose to use a structure named reordering graph, which represents all phrase segmentations of a sentence pair, to learn lexicalized reordering models efficiently. Experimental results on the NIST Chinese-English test sets show that our approach significantly outperforms the baseline method. © 2010 Association for Computational Linguistics.

关键词： Translation (languages)

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A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization 10

A sphere-dominance based preference immune-inspired algorith...

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12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010

作者： Liu, Ruochen Zhang, Wei Jiao, Licheng Liu, Fang Ma, Jingjing Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China Mail Box 224 Xidian University No.2 South TaiBai Road Xi'an 710071 China

ISBN: (纸本)9781450300728

Real-world optimization involving multiple objectives in changing environment known as dynamic multi-objective optimization (DMO) is a challenging task, especially special regions are preferred by decision maker (DM). Based on a novel preference dominance concept called sphere-dominance and the theory of artificial immune system. (AIS), a sphere-dominance preference immune-inspired algorithm (SPIA) is proposed for DMO in this paper. The main contributions of SPIA are its preference mechanism and its sampling study, which are based on the novel spheredominance and probability statistics, respectively. Besides, SPIA introduces two hypermutation strategies based on history information and Gaussian mutation, respectively. In each generation, which way to do hypermutation is automatically determined by a sampling study for accelerating the search process. Furthermore, The interactive scheme of SPIA enables DM to include his/her preference without modifying the main structure of the algorithm. The results show that SPIA can obtain a well distributed solution set efficiently converging into the DM's preferred region for DMO. Copyright 2010 ACM.

关键词： Multiobjective optimization

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