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检索条件"机构=Department of Computer Anhui Province Key Laboratory of Software in Computer and Communication"

共 190 条记录，以下是101-110 订阅

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AN APPROACH BASED ON TSA-TREE FOR ACCURATE TIME SERIES CLASSIFICATION

AN APPROACH BASED ON TSA-TREE FOR ACCURATE TIME SERIES CLASS...

引用

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Xiaoxu He Chenxi Shao School of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication

In order to improve the performance of time series classification, we introduce a new approach of time series classification. The first step of the approach is to design a feature exaction model based on Trend and Surprise Abstraction tree （TSA-tree）. The second step of the approach is to combine the exacted global feature and 1 nearest neighbor to classify time series. The proposed approach is compared with a number of known classifiers by experiments in artificial and real-world data sets. The experimental results show it can reduce the error rates of time series classification, so it is highly competitive with previous approaches.

关键词： Feature exaction dimension reduction classification TSA-tree

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Evolutionary repair for evolutionary design of combinational logic circuits

Evolutionary repair for evolutionary design of combinational...

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Congress on Evolutionary Computation

作者： Xin Zhang Wenjian Luo School of Computer Science and Technology Anhui Province key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui China

Evolutionary algorithms have been adopted to design logic circuits for many years. However, it takes too much time for evolutionary algorithms to generate circuits directly. Recently, the repair technique has been introduced into evolutionary design of the circuit to significantly decrease the time cost. And yet, the repair technique costs a lot of gate resource. In this paper, the evolutionary repair for evolutionary design of the combinational circuit is proposed, which generates the repair circuits with an evolutionary algorithm. The evolutionary repair could reduce the gate resource cost and does not spend much more time. The evolutionary repair is merged into the traditional evolutionary algorithm to form a novel evolutionary design algorithm, i.e. the erEDA. The experimental results demonstrate that the erEDA could balance the time cost and the gate resource consumption.

关键词： Maintenance engineering Logic gates Evolutionary computation Vectors Pins Adders Layout

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Bias analyses of spontaneous facial expression database

Bias analyses of spontaneous facial expression database

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International Conference on Pattern Recognition

作者： Zhaoyu Wang Shangfei Wang Yachen Zhu Qiang Ji Key Laboratory of Computing and Communicating Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei Anhui China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)9781467322164

In this paper, cross-corpora evaluations are used to analyze the bias of spontaneous facial expression databases. Local binary pattern, Gabor, eigenface and fisherface features are extracted and applied to the four spontaneous expression databases: USTC-NVIE, VAM, Belfast Naturalistic and SEMAINE to recognize arousal (high/low) and valance (positive/negative) respectively. Experimental results indicate that there exists bias among different spontaneous expression databases. The emotion-induction methods, the variety of subjects and the quantity of raters may have caused such a bias.

关键词： Databases Feature extraction Face recognition Videos Principal component analysis Training

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Fault diagnosis design based on qualitative simulation

Fault diagnosis design based on qualitative simulation

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International Conference on Intelligent Control and Information Processing (ICICIP)

作者： Chenxi Shao Zhenzhong Shao Juntao Zhang Fanzhou Bai College of Computer Science & Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui China Jianghuai Automobile Co. Ltd. Hefei China College of Computer Science & Technology University of Science and Technology of China Hefei

Based on the QSIM reasoning of Kuipers, comparative constraint is presented to reduce the diagnosis space. The transfer regulation of qualitative constrain is used in the simulation and reasoning of system diagnosis. This arithmetic takes observed faulty state as the beginning, to diagnosis the discrepancy of variable and location of the causation according to the transfer regulation of qualitative constraint, reasons from faulty diagnosed to examine the result and delete the redundancy of diagnosis result. In the example of Condensation refrigeration system, the constraint relation is built according to qualitative difference equation. Aim at the bad efficiency of refrigeration, the mixture of air or Freon superfluously is diagnosed as the result faulty source, is consistent with the factual system.

关键词： Circuit faults Mathematical model Differential equations Algebra Valves Cognition Educational institutions

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A Parallel NURBS-based Isogeometric Analysis Framework on Multi-core CPUs

A Parallel NURBS-based Isogeometric Analysis Framework on Mu...

引用

2012年全国理论计算机科学学术年会(NCTCS2012)

作者： Licai Guo Zhangjin Huang School of Computer Science and Technology University of Science and Technology of China PR China USTC-SICT Joint Laboratory on Network and Key Laboratory of Software in Computing and Communication Anhui Province PR China USTC-SICT Joint Laboratory on Network and Communication PR China School of Computer Science and Technology University of Science and Technology of China PR China

parallel framework for NURBS-based isogeometric analysis on multi-core cpus is presented in this *** framework is composed of two parts:(1) construction of the stiffness matrix and right hand side vector; (2) a parall...

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Ant colony optimization for enhancing scheduling reliability in wireless sensor networks

Ant colony optimization for enhancing scheduling reliability...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Xiao-Min Hu Jun Zhang Department of Computer Science Key Laboratory of Intelligent Sensor Networks Ministry of Education Key Laboratory of Software Technology Education Department of Guangdong Province Sun Yat-sen University China

In the application of wireless sensor networks (WSNs), energy efficiency is always an important topic for extending the network lifetime. Scheduling the operation modes of sensors can reduce the energy wasted by redundant sensors, but frequent alterations of sensors' modes and different data transmission routes influence the reliability of the WSN. In this paper, a novel algorithm for maximizing the reliable working lifetime of a WSN is proposed. The considered problem restricts the minimum working period of the sensors before changing their operation modes. In order to extend the working lifetime of a reliable WSN, the proposed algorithm adopts the ant colony optimization (ACO) for finding the maximum number of reliable working periods of sensors. The performance of the proposed algorithm has been tested on various WSNs and compared with the state-of-the-art algorithms. The results show that the proposed algorithm can enhance the scheduling reliability of WSNs.

关键词： Sensors Wireless sensor networks Reliability Energy consumption Heuristic algorithms Data communication Approximation algorithms

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Test case generation based on program invariant and adaptive random algorithm

Test case generation based on program invariant and adaptive...

引用

2011 International Conference on computer Science and Education, CSE 2011

作者： Yuan, Yuan Fanping, Zeng Guanmiao, Zhu Chaoqiang, Deng Neng, Xiong Department of Computer University of Science and Technology of China China Anhui Province Key Lab. of Software in Computing and Communication Hefei Anhui China

ISBN: (纸本)9783642224171

Testing is a critical activity to find software errors. And choosing an effective test suite is the key problem in software testing area. Program invariant, as an attribute of program, can record the implementation state of test case very well and reveal the coverage of program data. In this paper, we integrate adaptive random testing and invariant technology, and present a new method which makes full use of the feedback information of program invariant and invalid case suite to generate the next case. Experiment results show that, compared with other similar methods, running for the same time, our method can achieve higher coverage and faster convergence speed. © 2011 Springer-Verlag.

关键词： software testing

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Directed differential evolution based on directional derivative for numerical optimization problems

Directed differential evolution based on directional derivat...

引用

2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

作者： Zhang, Jun Luo, Wenjian School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei 230027 Anhui China

ISBN: (纸本)9781457721502

Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directional derivative to decide a suitable search direction and a proper mutation step size, is proposed. It is merged into the classical DE to form a new algorithm, named directed differential evolution (DDE). The performance of the DDE is tested on 23 classical problems for numerical optimization. The experimental results demonstrate that the performance of the DDE outperforms the classical DE on most functions. © 2011 IEEE.

关键词： Evolutionary algorithms

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NURBS model for chaotic time series

NURBS model for chaotic time series

引用

2011 3rd International Conference on computer Research and Development, ICCRD 2011

作者： Shao, Chenxi Xiao, Lipeng Department of Computer Science and Technology University of Science and Technology of China Hefei China Department of Modern Physics Nonlinear Science Center University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Software in Computing and Communication Hefei China

ISBN: (纸本)9781612848372

NURBS method is extensively used in the field of Geometric Modeling. Since the original NURBS method does not have time factor, it can not display the huge advantage in the dynamics field. In this article, inspired by the segmented nature of basis functions, we propose a time factor method which can be directly applied in reconstruction of missing data, with remarkable performance in matching the original data. This work does not only give an expression of chaotic time series, but also highlights a possible way for the challenge in reconstruction of missing data. © 2011 IEEE.

关键词： Time series

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Accelerating vehicle detection in low-altitude airborne urban video

Accelerating vehicle detection in low-altitude airborne urba...

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International Conference on Image and Graphics

作者： Cao, Xianbin Lin, Renjun Yan, Pingkun Li, Xuelong Anhui Province Key Laboratory of Software In Computing and Communication School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an 710119 Shaanxi China

ISBN: (纸本)9780769545417

The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed. © 2011 IEEE.

关键词： Extraction

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