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2013 4th International Conference on Material and Manufacturing Technology, ICMMT 2013

作者： Liu, Jie Qun Wang, Dong Lin Department of Computer Science and Technology Key Lab of Network and Intelligent Information Processing Hefei University Hefei China School of Civil Engineering Anhui Institute of Architecture and Industry Hefei China

ISBN: (纸本)9783037857526

Based on nonlinear finite element method (FEM), the effect of back berm has been systematically studied. It is found that the lateral displacement of embankment could be reduced by back berm effectively, and the stability of embankment increased rapidly with the width of back berm enlarged. There is a critical value of width of back berm, that the stability of embankment is no more increased with the width of back berm enlarged than critical value. © (2013) Trans Tech Publications, Switzerland.

关键词： Safety factor

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Study on influence of surcharge preloading on deformation of embankment with FEM

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2013 International Conference on Energy Research and Power engineering, ERPE 2013

作者： Liu, Jie Qun Chen, Lu Wang Department of Computer Science and Technology Key Lab of Network and Intelligent Information Processing Hefei University Hefei China School of Resource and Environmental Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9783037857588

Based on nonlinear finite element method, the deformation and stability of embankment influenced by surcharge preloading is analyzed. It is shown that the location of the maximal lateral displacement of embankment is changeable at different construction stages. The location of the maximal lateral displacement is nearer the shoulder of embankment with construction of embankment. The lateral displacement and vertical settlement become larger and stability of embankment become smaller, when the location of surcharge loads nearer the axis of symmetry of embankment. Therefore, in order to accelerate the settlement of embankment during construction, surcharge preloading should be located nearer the axis of symmetry of embankment. © (2013) Trans Tech Publications, Switzerland.

关键词： Embankments

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Interactive event: from a virtual village to an open learner model with next-TELL

Interactive event: from a virtual village to an open learner...

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16th International Conference on Artificial Intelligence in Education, AIED 2013

作者： Bull, Susan Kickmeier-Rust, Michael Meissl-Egghart, Gerhilde Johnson, Matthew D. Wasson, Barbara Alotaibi, Mohammad Hansen, Cecilie Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Knowledge Management Institute Technical University of Graz Austria Talkademy Vienna Austria Department of Information Science and Media Studies University of Bergen Norway Uni Health Uni Research AS Norway

ISBN: (纸本)9783642391118

Introduction: With the range of educational tools available it is now realistic for learner models to take account of broader information, and there are strong arguments for placing open learner models in the centre of environments with diverse sources of data [1],[2],[3]. This Interactive Event will demonstrate the Next-TELL approach to facilitating teachers' use of data from a variety of sources, and will allow participants to interact at all stages of this process. The Interactive Event will comprise three parts: Going to the Chatterdale village: an OpenSim mystery for language learners;Interaction with ProNIFA (probabilistic non-invasive formative assessment) to help teachers transform Chatterdale log data for an open learner model;Interaction with the Next-TELL Open Learner Model to explore learner model visualisations from automated and manual sources. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Teaching

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An optimized band selection scheme for hyperspectral imagery analysis 5

An optimized band selection scheme for hyperspectral imagery...

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5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013

作者： Su, Hongjun Du, Qian Du, Peijun School of Earth Sciences and Engineering Hohai University China Department of Electrical and Computer Engineering Mississippi State University United States Department of Geographical Information Science Nanjing University China Jiangsu Key Lab. of Spectral Imaging and Intelligent Sense Nanjing University of Science and Technology China

ISBN: (纸本)9781509011193

A particle swarm optimization (PSO)-based automatic system to determine the number of optimal band sets and corresponding bands is proposed. A simple searching criterion function, called minimum estimated abundance covariance (MEAC), requiring class signatures only, is used in this method. The experimental results show that the PSO-based algorithm outperforms the popular sequential forward selection (SFS) method. The two PSOs can achieve the balance between the two objectives, and it may provide even better accuracy than a single-objective PSO. © 2013 IEEE.

关键词： Hyperspectral imaging

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Robust median reversion strategy for on-line portfolio selection

Robust median reversion strategy for on-line portfolio selec...

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23rd International Joint Conference on Artificial Intelligence, IJCAI 2013

作者： Huang, Dingjiang Zhou, Junlong Li, Bin Hoi, Steven C.H. Zhou, Shuigeng Department of Mathematics East China University of Science and Technology Shanghai 200237 China School of Computer Science Fudan University Shanghai 200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

ISBN: (纸本)9781577356332

On-line portfolio selection has been attracting increasing interests from artificial intelligence community in recent decades. Mean reversion, as one most frequent pattern in financial markets, plays an important role in some state-of-the-art strategies. Though successful in certain datasets, existing mean reversion strategies do not fully consider noises and outliers in the data, leading to estimation error and thus non-optimal portfolios, which results in poor performance in practice. To overcome the limitation, we propose to exploit the reversion phenomenon by robust L1-median estimator, and design a novel on-line portfolio selection strategy named "Robust Median Reversion" (RMR), which makes optimal portfolios based on the improved reversion estimation. Empirical results on various real markets show that RMR can overcome the drawbacks of existing mean reversion algorithms and achieve significantly better results. Finally, RMR runs in linear time, and thus is suitable for large-scale trading applications.

关键词： Estimation

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Converting continuous-space language models into N-gram language models for statistical machine translation

Converting continuous-space language models into N-gram lang...

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2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013

作者： Wang, Rui Utiyama, Masao Goto, Isao Sumita, Eiichro Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai200240 China Multilingual Translation Laboratory MASTAR Project National Institute of Information and Communications Technology 3-5 Hikaridai Keihanna Science City Kyoto619-0289 Japan MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai200240 China

ISBN: (纸本)9781937284978

Neural network language models, or continuous-space language models (CSLMs), have been shown to improve the performance of statistical machine translation (SMT) when they are used for reranking n-best translations. However, CSLMs have not been used in the first pass decoding of SMT, because using CSLMs in decoding takes a lot of time. In contrast, we propose a method for converting CSLMs into back-off n-gram language models (BNLMs) so that we can use converted CSLMs in decoding. We show that they outperform the original BNLMs and are comparable with the traditional use of CSLMs in reranking. © 2013 Association for Computational Linguistics.

关键词： Decoding

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Random walks on weighted networks

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Physical Review E 2013年第1期87卷 012112-012112页

作者： Zhongzhi Zhang Tong Shan Guanrong Chen School of Computer Science Fudan University Shanghai 200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200433 China Department of Electronic Engineering City University of Hong Kong Hong Kong SAR China

Random walks constitute a fundamental mechanism for a large set of dynamics taking place on networks. In this article, we study random walks on weighted networks with an arbitrary degree distribution, where the weight of an edge between two nodes has a tunable parameter. By using the spectral graph theory, we derive analytical expressions for the stationary distribution, mean first-passage time (MFPT), average trapping time (ATT), and lower bound of the ATT, which is defined as the average MFPT to a given node over every starting point chosen from the stationary distribution. All these results depend on the weight parameter, indicating a significant role of network weights on random walks. For the case of uncorrelated networks, we provide explicit formulas for the stationary distribution as well as ATT. Particularly, for uncorrelated scale-free networks, when the target is placed on a node with the highest degree, we show that ATT can display various scalings of network size, depending also on the same parameter. Our findings could pave a way to delicately controlling random-walk dynamics on complex networks.

关键词： RANDOM walks (Mathematics) GRAPH theory PROBABILITY theory EQUATIONS DIFFUSION WEIGHT (Physics)

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Screening of potential pseudo att sites of Streptomyces phage ΦC31 integrase in the human genome

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中国药理学报（英文版） 2013年第4期34卷 561-569页

作者： Zhi-peng HU Lu-sheng CHEN Cai-yan JIA Huan-zhang ZHU Wei WANG Jiang ZHONG Department of Microbiology and Microbial Engineering School of Life Sciences Fudan University Shanghai 200433 China Intelligent Information Processing Lab Department of Computer Science Fudan University Shanghai 200433 China State Key Laboratory of Genetic Engineering Institute of Genetics School of Life Science Fudan University Shanghai 200433 China Molecular & Cellular Biology Baylor College of Medicine Houston TX USA

Aim:φC31 integrase mediates site-specific recombination between two short sequences, attP and attB, in phage and bacterial genomes, which is a promising tool in gene regulation-based therapy since the zinc finger structure is probably the DNA recognizing domain that can further be engineered. The aim of this study was to screen potential pseudo att sites of (I)C31 integrase in the human genome, and evaluate the risks of its application in human gene therapy. Methods: TFBS (transcription factor binding sites) were found on the basis of reported pseudo att sites using multiple motif-finding tools, including AlignACE, BioProspector, Consensus, MEME, and Weeder. The human genome with the proposed motif was scanned to find the potential pseudo att sites ofφC31 integrase. Results: The possible recognition motif ofφC31 integrase was identified, which was composed of two co-occurrence conserved elements that were reverse complement to each other flanking the core sequence TTG. In the human genome, a total of 27924 potential pseudo att sites ofφC31 integrase were found, which were distributed in each human chromosome with high-risk specificity values in the chromosomes 16, 17, and 19. When the risks of the sites were evaluate more rigorously, 53hits were discovered, and some of them were just the vital functional genes or regulatory regions, such as ACYP2, AKR1B1, DUSP4, etc. Conclusion: The results provide clues for more comprehensive evaluation of the risks of usingφC31 integrase in human gene therapy and for drug discovery.

关键词： gene therapy ΦC31 integrase pseudo attP human genome motif finding drug discovery

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A Novel Emergency Cross-Media information Retrieval Model

A Novel Emergency Cross-Media Information Retrieval Model

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2013年中国智能自动化学术会议

作者： Lingling Zi Junping Du Qian Wang Jangmyung Lee Beijing Key Lab of Intelligent Telecommunication Software and Multimedia School of Computer ScienceBeijing University of Posts and Telecommunications School of Electronic and Information Engineering Liaoning Technical University Department of Electronics Engineering Pusan National University

Existing information retrieval approaches provide only limited capabilities to capture the query ***,a complete understanding of search requirements is essential for improving the effectiveness of retrieval in the emergency management *** achieve this goal,we proposed a novel emergency cross-media information retrieval model,which includes four parts: information collection,information indexing,information retrieval and intelligent mobile *** proposed model has two *** is to use ontology technique to identify appropriate semantic information according to query words. The other is to use image semantic analysis based on SIFT to achieve the task of emergency image *** experiments show that our model obtained encouraging performance results.

关键词： Emergency information Cross-media information retrieval Ontology Query expansion

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Proximity-based rocchio's model for pseudo relevance 12

Proximity-based rocchio's model for pseudo relevance

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35th Annual ACM SIGIR Conference on Research and Development in information Retrieval, SIGIR 2012

作者： Miao, Jun Huang, Jimmy Xiangji Ye, Zheng Information Retrieval and Knowledge Management Research Lab. Department of Computer Science and Engineering York University Toronto ON Canada Information Retrieval and Knowledge Management Research Lab. School of Information Technology York University Toronto ON Canada

ISBN: (纸本)9781450316583

Rocchio's relevance feedback model is a classic query expansion method and it has been shown to be effective in boosting information retrieval performance. The selection of expansion terms in this method, however, does not take into account the relationship between the candidate terms and the query terms (e.g., term proximity). Intuitively, the proximity between candidate expansion terms and query terms can be exploited in the process of query expansion, since terms closer to query terms are more likely to be related to the query topic. In this paper, we study how to incorporate proximity information into the Rocchio's model, and propose a proximity-based Rocchio's model, called PRoc, with three variants. In our PRoc models, a new concept (proximity-based term frequency, ptf) is introduced to model the proximity information in the pseudo relevant documents, which is then used in three kinds of proximity measures. Experimental results on TREC collections show that our proposed PRoc models are effective and generally superior to the state-of-the-art relevance feedback models with optimal parameters.A direct comparison with positional relevance model (PRM) on the GOV2 collection also indicates our proposed model is at least competitive to the most recent progress. © 2012 ACM.

关键词： knowledge management

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