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A network utilization measurement method based on enhanced maximum traffic accumulation

Dongbei Daxue Xuebao/Journal of Northeastern University 2010年第SUPPL. 2期31卷 254-257页

作者： Sun, Run-Yuan Ma, Kun Chen, Zhen-Xiang Peng, Li-Zhi Jing, Shan Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan 250022 China School of Information Science and Engineering University of Jinan Jinan 250101 China School of Computer Science and Technology Shandong University Jinan 250101 China

This paper analyzes the calculating method of the link utilization based on SNMP: the mean method, intermediate values calculated method and maximum traffic calculation method, and finally proposed a method based enhanced maximum traffic accumulation. This new method not only can handle overflow problems of polling, but also more accurately calculate the full-duplex network input and output changes. On this basis, the network weather maps can reflect a more real network utilization, and become a more effective tool in network management.

关键词： Internet protocols

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Multi-objective optimization conceptual design of solar energy product based on hybrid genetic algorithm

Multi-objective optimization conceptual design of solar ener...

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International Conference on Computer Design and Applications (ICCDA)

作者： Tingting Zhao Zhenhe Ju Xiaopeng Wei Shi Zhang Shuaijie Wang Xiaoxiao Li School of Management Dalian University of Technology Dalian China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China New Energy Center Shenyang Institute of Engineering Shenyang China Institute of Systems Engineering College of Information Science and Engineering Northeastern University Shenyang China Department of study Liaoning Solar Energy R and D Company Limited Shenyang China

ISBN: (纸本)9781424471645;9781424471638

For research on conceptual design of the complex product, it is necessary that a reliable theory is found to decide if the design structure is suit for custom requirement. The correlation matrixes among requirements, functions and structures are proposed. A block diagonal matrix of correlation matrix between functions and structures is given. The mathematical models of multi-object optimization structure design are provided, and then calculated by the hybrid genetic algorithm. An example for solar energy automobile is given to show that this method is able to realize optimization structure design fitting for the requirements. In addition, the approaches can provide good Pareto optimization solutions.

关键词： Design optimization Algorithm design and analysis Solar energy Genetic algorithms Genetic engineering Design engineering Power engineering and energy Mathematics Pareto optimization Reliability engineering

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intelligent science 1

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12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular computing, RSFDGrC 2009

作者： Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Kexueyuan Nanlu #6 Beijing 100190 China

ISBN: (数字)9783642106460

ISBN: (纸本)3642106455

Intelligence Science is an interdisciplinary subject which dedicates to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain, research on the principles and models of natural intelligence at molecular, cellular, and behavior levels. Cognitive science studies human mental activities, such as perception, learning, memory, thinking, consciousness etc. Artificial intelligence attempts simulation, extension, and expansion of human intelligence using artificial methods and technologies. Researchers specialized in above three disciplines work together to explore new concepts, theories, and methodologies. If successful, it will create a brilliant future in 21st century. The paper will outline the framework of intelligence science and present its ten big challenges. Tolerance Granular Space Model (TGSM) will be discussed as one of helpful approaches. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Artificial intelligence

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Improving Tree-to-Tree Translation with Packed Forests

Improving Tree-to-Tree Translation with Packed Forests

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009

作者： Liu, Yang Lü, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781617382581

Current tree-to-tree models suffer from parsing errors as they usually use only 1-best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model that uses packed forests. The model is based on a probabilistic synchronous tree substitution grammar (STSG), which can be learned from aligned forest pairs automatically. The decoder finds ways of decomposing trees in the source forest into elementary trees using the source projection of STSG while building target forest in parallel. Comparable to the state-of-the-art phrase-based system Moses, using packed forests in tree-to-tree translation results in a significant absolute improvement of 3.6 BLEU points over using 1-best trees. © 2009 ACL and AFNLP.

关键词： Decoding

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Lattice-based system combination for statistical machine translation

Lattice-based system combination for statistical machine tra...

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2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

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

Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candidate translations, confusion networks have difficulty in handling more general situations in which several words are connected to another several words. Instead, we propose a lattice-based system combination model that allows for such phrase alignments and uses lattices to encode all candidate translations. Experiments show that our approach achieves significant improvements over the state-of-the-art baseline system on Chinese-to-English translation test sets. © 2009 ACL and AFNLP.

关键词： Natural language processing systems

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Joint Decoding with Multiple Translation Models

Joint Decoding with Multiple Translation Models

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Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009

作者： Liu, Yang Mi, Haitao Feng, Yang Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing100190 China

ISBN: (纸本)9781617382581

Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a method that combines multiple translation models in one decoder. Our joint decoder draws connections among multiple models by integrating the translation hypergraphs they produce individually. Therefore, one model can share translations and even derivations with other models. Comparable to the state-of-the-art system combination technique, joint decoding achieves an absolute improvement of 1.5 BLEU points over individual decoding. © 2009 ACL and AFNLP.

关键词： Decoding

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Weighted alignment matrices for statistical machine translation

Weighted alignment matrices for statistical machine translat...

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2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Liu, Yang Xia, Tian Xiao, Xinyan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment mistakes. We propose a new structure called weighted alignment matrix to encode all possible alignments for a parallel text compactly. The key idea is to assign a probability to each word pair to indicate how well they are aligned. We design new algorithms for extracting phrase pairs from weighted alignment matrices and estimating their probabilities. Our experiments on multiple language pairs show that using weighted matrices achieves consistent improvements over using n-best lists in significant less extraction time. © 2009 ACL and AFNLP.

关键词： Alignment

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THE EFFECT OF SCALE TRANSFORMATION FOR HYPER SURFACE CLASSIFICATION METHOD

THE EFFECT OF SCALE TRANSFORMATION FOR HYPER SURFACE CLASSIF...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： QING HE ZHONG-ZHI SHI XU-DONG MA FU-ZHEN ZHUANG The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese

Hyper Surface Classification (HSC), which is based on Jordan Curve Theorem in Topology, has been proven to be a simple and effective method for classifying a large database in our previous work. In this paper, through theoretical analysis, we find that different scales may affect the training process of HSC, which influences its classification performance. To investigate the impact and find a suitable scale, the scale transformation of HSC is studied. The experimental results show that the accuracy increases with the shrinkage of the scale, but the effect is tiny. Furthermore, we find that some samples become inconsistent and repetitious when the scale is adequately small, because of the powerlessly providing enough precision by the data type of computer. Fortunately, HSC can get a high performance with common scales as experiments exhibit.

关键词： Hyper Surface Classification HSC Scale Transformation

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Unusual Pattern Detection Based on Hyper Surface and Minimum Spanning Tree

Unusual Pattern Detection Based on Hyper Surface and Minimum...

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2009 IEEE International Conference on information and Automation(2009年 IEEE信息与自动化国际学术会议)

作者： Qing He Weizhong Zhao Jincheng Li Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A

More analysis has been done to discover the meaningful unusual patterns which may mean fraud or anomaly. In this paper, a novel unsupervised approach for discovering meaningful unusual observations is proposed. We firstly apply an unsupervised version of Hyper Surface Classification (HSC) algorithm to gain the separating hyper surface. It needs no domain knowledge but can not discover the local unusual pattern. To solve this problem, we additionally search the Minimum Spanning Tree (MST). Given the domain knowledge, a process of subdividing is proposed to detect unusual pattern in each Minimum Spanning Tree. Experimental results show that our approach can detect unusual patterns effectively, even some of which are overlooked by using the traditional clustering and outlier detection algorithms.

关键词： Detection algorithms Credit cards Pattern analysis Face detection Predictive models Automation Laboratories information processing Computers information analysis

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Emotion modeling in autonomic computing

Emotion modeling in autonomic computing

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2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009

作者： Donglei, Zhang Pan, Yu Shil, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424446421

Autonomic unit is the essential element and the most basic component of autonomic systems. Having the ability of handling emotions is considered to make autonomic unit more intelligent, more communicative and more social. In this article we try to build an emotion model for agents that act as autonomic units in autonomic systems and can self-manage its behavior to achieve the best performance. From four levels we define four models progressively and the top-level model is defined on the foundation of the three below, combining them as a unity. By given arousing axioms theoretically of several typical emotions, the model is proved to be effective for reasoning emotions of autonomic unit, and can be easily extended for dealing with other type of emotions. On this base an architecture of emotional autonomic unit is described. An example shows that emotion plays an important role in intelligent decision making, which proves the validity of the model and the special function in practice. © 2009 IEEE.

关键词： Decision making

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