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arXiv 2017年

作者： Qu, Yanyun Lin, Li Shen, Fumin Lu, Chang Wu, Yang Xie, Yuan Tao, Dacheng Department of Computer Science Xiamen University Xiamen361005 China School of Computer Science and Engineering University of Electric Science and technology of China Chengdu611731 China Institute for Research Initiatives Nara Institute of Science and Technology Japan Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing100190 China Centre for Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway Street UltimoNSW2007 Australia

—We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image classification method based on learning hierarchical inter-class structures. Specifically, we first design a fast algorithm to compute the similarity metric between categories, based on which a visual tree is constructed by hierarchical spectral clustering. Using the learned visual tree, a test sample label is efficiently predicted by searching for the best path over the entire tree. The proposed method is extensively evaluated on the ILSVRC2010 and Caltech 256 benchmark datasets. Experimental results show that our method obtains significantly better category hierarchies than other state-of-the-art visual tree-based methods and, therefore, much more accurate classification. Copyright © 2017, The Authors. All rights reserved.

关键词： Image classification

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Research of influence of effect of forcing of the speech on a range formant

Research of influence of effect of forcing of the speech on ...

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International Scientific-Technical Conference on Actual Problems of Electronics Instrument engineering

作者： Andrey V. Ivanov Guzel V. Markelova Viktor A. Trushin HOBOCИбИpckИЙ Novosibirsk State Technical University/ Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781509040704

In article features of an assessment of legibility of the speech when using formant approach are considered, in particular, influence of effect of forcing of the speech on a range a formant is considered. Earlier the assumption that a range the formant at forcing changes also as well as a speech range has been made. As a result of researches influence of effect of forcing on a range a formant has been experimentally revealed. Change of a range a formant at forcing happens differently, than has been assumed earlier. The accounting of the received results will allow to specify results of an assessment of legibility of the speech taking into account effect of forcing.

关键词： Legibility of the speech effect of forcing a speech range a range a formant

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Optimal Location of a Distributed Generator for Power Losses Improvement

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Procedia Technology 2016年 22卷 734-739页

作者： Lucian Ioan Dulău Mihail Abrudean Dorin Bică PhD School Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Automation Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Electrical and Computer Engineering Faculty of Engineering “Petru Maior” University of Tîrgu-Mureş Tîrgu-Mureş Romania

This paper describes the optimal location of a 2.3 MW distributed generator (DG) in a test system (IEEE 14 bus test system) based on the power losses. The distributed generator (DG) optimal location will determined considering the power losses at each bus where the DG is connected. The power losses at each bus will be determined with the Neplan software, using the Newton-Raphson extended method.

关键词： distributed generation distributed generator power losses optimal location IEEE 14.

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Text Clustering Algorithm Based on the Graph Structures of Semantic Word Co-occurrence

Text Clustering Algorithm Based on the Graph Structures of S...

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International Conference on Information System and Artificial Intelligence (ISAI)

作者： Chun-Xia Jin Qiu-Chan Bai Faculty of Computer & Software Engineering Huaiyin Institute of Technology Huaian China Faculty of Automation Huaiyin Institute of Technology Huaian China

ISBN: (纸本)9781509015863

Text theme is the key of text clustering, while the co-occurrence words can be very stronger to express text theme in document. This paper proposes a text clustering algorithm based on the text semantic representation and the graph structure of word co-occurrence on the basis of in-depth studying text theme mining and word co-occurrence. First, the algorithm constructs the text graph-structure according to the co-occurrence of feature words. In other words, it uses the graph structure to represent all texts. Then, it adopts the maximum common sub-graph between two texts to calculate their similarity and combines with K-means clustering algorithm to realize the document clustering. The compared experimental results with hierarchical clustering algorithm show the K-means clustering algorithm based on the graph structures of word co-occurrence greatly reduce the high dimension of text vector and the algorithm complexity, significantly improves the efficiency and accuracy of text clustering, and it can also produce the clustering effect of good quality.

关键词： Semantics Clustering algorithms Feature extraction Algorithm design and analysis Vocabulary Software algorithms Complexity theory

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Text Clustering Algorithm Based on Semantic Graph Structure

Text Clustering Algorithm Based on Semantic Graph Structure

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International Symposium on Computational Intelligence and Design, ISCID

作者： Qiuchan Bai Chunxia Jin Faculty of automation Huaiyin Institute of Technology Huaian China Faculty of Computer and Soft Engineering Huaiyin Institute of Technology Huaian China

ISBN: (纸本)9781509035595

As semantic information is often missing in text representation, this paper proposes semantic graph structure to represent text and optimize graph structure by semantic similarity matrix. Then calculate the similarity of semantic graph structure by using the maximum common sub-graph of graph theory. Finally, K-means algorithm will be applied to expand Chinese text clustering to improve text clustering effect. Experimental results show that the proposed algorithm based on semantic graph structure is more conducive for the representation of semantic information. It significantly improves the accuracy of text similarity in the text similarity measure and will be applied to text clustering to further improve the effect of text clustering by adjusting the corresponding parameters.

关键词： Semantics Clustering algorithms Text mining Optimization Feature extraction Ontologies Computational intelligence

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Normal rational matrices and the problem of constructing minimal realisations

Normal rational matrices and the problem of constructing min...

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IEEE International Conference on Control and automation

作者： Bernhard P. Lampe Efim N. Rosenwasser Faculty of Computer Science and Electrical Engineering University of Rostock Department of Automation State Marine Technical University

ISBN: (纸本)9781509017393

It is shown that in addition to controllability and observability of state-space realisations, the concept of normality of rational matrices is fundamental to generate minimal realisations from transfer matrices. The paper extends the concept of normality from irreducible to reducible rational matrices and proves essential properties of those matrices.

关键词： matrices normality Rational number Observability Irreducible controllability Minimal Transfer matrices state space

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Cost-aware cloud storage service allocation for distributed data gathering

Cost-aware cloud storage service allocation for distributed ...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： Catalin Negru Florin Pop Mariana Mocanu Valentin Cristea Anca Hangan Lucia Vacariu Computer Science and Engineering Department University Politehnica of Bucharest Romania Automation and Computer Science Faculty Technical University of Cluj-Napoca Romania

In today cyber-infrastructures, large datasets are produced in real-time by different sources geographically distributed. These data must be acquired and preserved for further use in knowledge extraction. In the context of multi-cloud environments, the cost-efficient storage service selection is a challenge. There are plenty of Cloud storage providers offering multiple options so, it is crucial to select the best solution in terms of cost and quality of service that meet customers requirements. Due to its multi-objective nature, the process of optimal service selection becomes a difficult problem. In this paper, we study the multi-objective optimization problem for storage service selection. We start from a real world case scenario and build our mathematical model for the optimization problem. Then we propose an aggregated linear programming technique to find a near optimal solution for the service selection problem.

关键词： Cloud computing Linear programming Distributed databases Optimization Resource management Data models

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Method of Consistency Judgment for App Software's User Comments

Method of Consistency Judgment for App Software's User Comme...

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The Second International Conference of Young computer Scientists, Engineers and Educators,ICYCSEE 2016

作者： Meng Ran Ying Jiang Qixin Xiang Jiaman Ding Haitao Wang Yunnan Key Lab of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology

With the popularity of mobile intelligent terminal, user comments of App software is viewed as one of the research interests of social computing. Faced with the massive App software, most users usually view the other users' comments and marks to selecting the desired App software. Due to the freedom and randomness of the network comments,the inconsistence between the user's comment and mark makes it difficult to choose App software. This paper presents a method by analyzing the relationships among user's comment information, the user's mark and App software information. Firstly, the consistency between user's comment information and App software information is judged. Then, through analyzing the grammar relationships among the feature-words, adverbs and the feature-sentiment-words in App software's feature-sentimentword-pairs, the user's emotional tendency about App software is quantified combining with the dictionary and the network sentiment *** calculating the user's comprehensive score of App software, the consistency of App software's user comment is judged by comparing this score and the user's mark. Finally, the experimental results show that the method is effective.

关键词： Social computing App software The consistency of user comment User's comment information User's mark Featuresentiment-word-pairs Network sentiment word

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Fixed-point computing with variable fraction length for motion profile generation

Fixed-point computing with variable fraction length for moti...

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Power Electronic and Drive Systems and Technologies Conference (PEDSTC)

作者： S. M. Dehghan M. Mansourian Faculty of Electrical and Computer Engineering Qom University of Technology Qom Iran Faratavan Automation Company Tehran Iran

This paper proposes a new fixed-point computing method for motion profile generation. When parameters have wide ranges, floating-point computing usually is used for accurate computation; however, this method increases execution time. In the proposed method, by considering input data, optimum fraction lengths are determined for different parameters. In this way, the fixed-point computing offers an accurate computation in a minimum execution time. Experimental results show the performance of the proposed method.

关键词： Acceleration automation Signal processing algorithms Process control Motion planning Field programmable gate arrays

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Dynamic Balance Control of Biped Robot Using Optimized SLFNs

Dynamic Balance Control of Biped Robot Using Optimized SLFNs

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第28届中国控制与决策会议

作者： Liang Yang Zhi Liu Yun Zhang Faculty of Automation Guangdong University of Technology School of Computer Engineering University of Electronic Science and Technology of China Zhongshan Institute

ISBN: (纸本)9781467397155

This paper proposes a dynamic balance control scheme for controlling biped robot to achieve better locomotion stability and energy *** analyzing the moment equilibrium conditions,a optimized control scheme is proposed to improve the control performance,which differs from those previously proposed schemes in that it additionally contains an optimized learning *** optimized SLFNs to approximate the nonlinear relationship between ZMP error and Co M(Center of Mass) position and an online algorithm to correct ZMP error,the proposed control scheme exhibits a good control *** simulation results are provided to validate the proposed method.

关键词： ZMP Biped Robot Extreme Learning Machine CoM Yaw moment

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