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One-Class Classification with Extreme Learning Machine

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-11页

作者： Leng, Qian Qi, Honggang Miao, Jun Zhu, Wentao Su, Guiping Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 101408 Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China

One-class classification problem has been investigated thoroughly for past decades. Among one of the most effective neural network approaches for one-class classification, autoencoder has been successfully applied for many applications. However, this classifier relies on traditional learning algorithms such as backpropagation to train the network, which is quite time-consuming. To tackle the slow learning speed in autoencoder neural network, we propose a simple and efficient one-class classifier based on extreme learning machine (ELM). The essence of ELM is that the hidden layer need not be tuned and the output weights can be analytically determined, which leads to much faster learning speed. The experimental evaluation conducted on several real-world benchmarks shows that the ELM based one-class classifier can learn hundreds of times faster than autoencoder and it is competitive over a variety of one-class classification methods.

关键词： MACHINE learning NEURAL networks (computer science) BACK propagation (Artificial intelligence) computer algorithms ENCODING

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Control algorithm for a queuing system based on the theory of systems with random jump structure

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JOURNAL OF computer AND SYSTEMS SCIENCES INTERNATIONAL 2015年第2期54卷 218-229页

作者： Boldinov, V. A. Bukhalev, V. A. Pryadkin, S. P. Skrynnikov, A. A. Moscow Inst Aviat Technol Moscow 125993 Russia Moscow Res Televis Inst Moscow Russia Mints Radio Engn Inst Moscow Russia State Res Inst Aviat Syst Moscow 125319 Russia

The problem of developing an control algorithm for a queuing system is considered. This system has a finite number of states the dynamics of which is described by a conditional Markov chain;the system is observed using indicators whose readings are error prone. Optimal and approximately optimal solutions based on the theory of systems with random jump structure are found. By way of example, the problem of synthesis of an approximately optimal algorithm for the recognition of state and for control of aviation raids on a military facility that is alternatively damaged and restored in the course of air combat operations.

关键词： reading Systems Theory Military Facilities computer algorithms jump optimal solution Queue

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Generalized Accelerated Failure Time Frailty Model for Systems Subject to Imperfect Preventive Maintenance

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Yin, Huilin Yang, Xiaohan Peng, Rui Tongji Univ CDHK Dept Elect & Informat Engn Shanghai 200092 Peoples R China Tongji Univ Dept Math Shanghai 200092 Peoples R China Tongji Univ Sch Elect & Informat Engn Shanghai 200092 Peoples R China

Imperfect preventive maintenance (PM) activities are very common in industrial systems. For condition-based maintenance (CBM), it is necessary to model the failure likelihood of systems subject to imperfect PM activities. In this paper, the models in the field of survival analysis are introduced into CBM. Namely, the generalized accelerated failure time (AFT) frailty model is investigated to model the failure likelihood of industrial systems. Further, on the basis of the traditional maximum likelihood (ML) estimation and expectation maximization (EM) algorithm, the hybrid ML-EM algorithm is investigated for the estimation of parameters. The hybrid iterative estimation procedure is analyzed in detail. In the evaluation experiment, the generated data of a typical degradation model are verified to be appropriate for the real industrial processes with imperfect PM activities. The estimates of the model parameters are calculated using the training data. Then, the performance of the model is analyzed through the prediction of remaining useful life (RUL) using the testing data. Finally, comparison between the results of the proposed model and the existing model verifies the effectiveness of the generalized AFT frailty model.

关键词： GENERALIZATION ESTIMATION theory computer algorithms PARAMETER estimation ITERATIVE methods (Mathematics)

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An Algorithm for Generating Boolean Expressions in VHDL Based on Ladder Diagrams

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Xie, Hongxia Zhuang, Zheng-Yun Zhejiang Univ City Coll Sch Comp & Comp Sci 51 Huzhou St Hangzhou 310015 Zhejiang Peoples R China

This study proposes an algorithm for generating the associated Boolean expression in VHDL, given a ladder diagram (LD) as the input. The purpose of the algorithm is to implement of field-programmable gate array-(FPGA-) based programmable logic controllers (PLCs), where an effective conversion from an LD to its associated Boolean expressions seems rarely mentioned. Based on this core thought, the conversion process of the algorithm first involves abstracting and expressing the encountered LD as an activity-on-vertex (AOV) graph. Next, an AND-OR tree in which AND-nodes and OR-nodes connote the series and the parallel relationships between the vertices of the AOV graph is constructed based on the AOV graph. Therefore, by a traversal to the AND-OR tree, the associated Boolean expression, as the output of the algorithm, can be easily obtained in VHDL. The proposed algorithm is then verified with an illustrative example, wherein a complicated LD is given as the input.

关键词： BOOLEAN algebra MATHEMATICAL notation VHDL (computer hardware description language) FIELD programmable gate arrays computer algorithms

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Image Denoising via Asymptotic Nonlocal Filtering

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-9页

作者： Liu, Xiaoyan Feng, Xiangchu Zhang, Xuande Li, Xiaoping Luo, Liang Xidian Univ Sch Math & Stat Xian 710071 Peoples R China Xian Shiyou Univ Sch Sci Xian 710065 Shaanxi Peoples R China Ningxia Univ Sch Math & Comp Sci Yinchuan 750021 Peoples R China

The nonlocal means algorithm is widely used in image denoising, but this algorithm does not work well for high-intensity noise. To overcome this shortcoming, we establish a coupled iterative nonlocal means model in this paper. Considering the computation complexity of the new model, we realize it by using multiscale wavelet transform and propose an asymptotic nonlocal filtering algorithm which can reduce the influence of noise on similarity estimation and computation complexity. Moreover, we build a new nonlocal weight function based on the structure similarity index. Simulation results indicate that the proposed approach cannot only remove the noise but also preserve the structure of image and has good visual effects, especially for highly degenerated images.

关键词： IMAGE denoising computer algorithms NOISE measurement COMPUTATIONAL complexity SIMULATION methods & models IMAGE processing

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Smart Demand Response Based on Smart Homes

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Lai, Jingang Zhou, Hong Hu, Wenshan Zhou, Dongguo Zhong, Liang Wuhan Univ Dept Automat Wuhan 430072 Peoples R China

Smart homes (SHs) are crucial parts for demand response management (DRM) of smart grid (SG). The aim of SHs based demand response (DR) is to provide a flexible two-way energy feedback whilst (or shortly after) the consumption occurs. It can potentially persuade end-users to achieve energy saving and cooperate with the electricity producer or supplier to maintain balance between the electricity supply and demand through the method of peak shaving and valley filling. However, existing solutions are challenged by the lack of consideration between the wide application of fiber power cable to the home (FPCTTH) and related users' behaviors. Based on the new network infrastructure, the design and development of smart DR systems based on SHs are related with not only functionalities as security, convenience, and comfort, but also energy savings. A new multirouting protocol based on Kruskal's algorithm is designed for the reliability and safety of the SHs distribution network. The benefits of FPCTTH-based SHs are summarized at the end of the paper.

关键词： SUPPLY & demand HOME automation SMART power grids ENERGY conservation computer algorithms

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Towards 3-D distributed odor source localization: An extended graph-based formation control algorithm for plume tracking

Towards 3-D distributed odor source localization: An extende...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jorge M. Soares Ali Marjovi Jonathan Giezendanner Anil Kodiyan A. Pedro Aguiar Antonio M. Pascoal Alcherio Martinoli Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering école Polytechnique Fédérale de Lausanne (EPFL) 1015 Switzerland Research Center for Systems and Technology Faculty of Engineering University of Porto Rua Dr. Roberto Frias 4200-465 Portugal Laboratory of Robotics and Engineering Systems Instituto Superior Técnico University of Lisbon Av. Rovisco Pais 1049-001 Lisboa Portugal

ISBN: (纸本)9781509037636

The large number of potential applications for robotic odor source localization has motivated the development of a variety of plume tracking algorithms, the majority of which work in restricted two-dimensional scenarios. In this paper, we introduce a distributed algorithm for 3-D plume tracking using a system of ground and aerial robots in formation. We propose an algorithm that takes advantage of spatially distributed measurements to track the plume in 3-D and lead the robots to the source by integrating three behaviors - upwind movement, plume centering, and Laplacian feedback formation control. We evaluate this strategy in simulation and with real robots in a wind tunnel. For a source close to the ground, results show that a team of robots running our algorithm reaches the source with low lateral error while also tracing the horizontal and vertical plume shape.

关键词： Robot sensing systems Robot kinematics Laplace equations Tracking Unmanned aerial vehicles Chemicals Manipulator sensing systems Robot kinematics Laplace's equation Position measurement plume plumes tracking Unmanned Aerial Vehicle chemical compounds computer algorithms Robot vehicle drone honey bees Three Dimensions plume shape

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Text detection and recognition in natural scene with edge analysis

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IET computer VISION 2015年第4期9卷 603-613页

作者： Yu, Chong Song, Yonghong Meng, Quan Zhang, Yuanlin Liu, Yang Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

Text plays an important role in daily life because of its rich information, thus automatic text detection in natural scenes has many attractive applications. However, detecting and recognising such text is always a challenging problem. In this study, the authors propose a method which extends the widely-used stroke width transform by two steps of edge analysis, namely candidate edge recombination and edge classification. A new method that recognises text through candidate edge recombination and candidate edge recognition is also proposed. In the step of candidate edge recombination, they use the idea of over-segmentation and region merging. To separate text edge from background, the edge of the input image is first divided into small segments. Then, neighbour edge segments are merged, if they have similar stroke width and colour. Through this step, each character is described by one candidate boundary. In the step of boundary classification, candidate boundaries are aggregated into text chains, followed by chain classification using character-based and chain-based features. To recognise text, the grey image is extracted based on the location of each candidate edge after the step of candidate edge recombination. Then, histogram of gradient features and a classifier are used to recognise each character. To evaluate the effectiveness of their method, the algorithm is run on the ICDAR competition dataset and Street View Text database. The experimental results show that the proposed method provides promising performance in comparison with the existing methods.

关键词： SEGMENTATION (Image processing) IMAGE analysis computer algorithms PERFORMANCE evaluation computer science COMPARATIVE studies

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Experimental study on dominant sets clustering

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IET computer VISION 2015年第2期9卷 208-215页

作者： Hou, Jian Xia, Qi Qi, Nai-Ming Bohai Univ Sch Informat Sci & Technol Jinzhou 121013 Peoples R China Harbin Inst Technol Sch Astronaut Harbin 150001 Peoples R China

Based on a graph-theoretic concept of a cluster, dominant sets clustering has been shown to be an attractive clustering algorithm with many useful properties. In this study, the authors conduct a comprehensive study of related issues in dominant sets clustering, in an endeavour to explore the potential of this algorithm and obtain the best clustering results. Specifically, they empirically investigate how similarity parameters, similarity measures and game dynamics influence the dominant sets clustering results. From experiments on eight datasets, they conclude that distance-based similarity measures perform evidently better than cosine and histogram intersection similarity measures potentially, and they need to find the best-performing similarity parameter to make use of this advantage. They then study the effect of similarity parameter on dominant sets clustering results and induce the range of the best-performing similarity parameters. Furthermore, they find that the recently proposed infection and immunisation dynamics performs better than the replicator dynamics in most cases while being much more efficient than the latter. These observations are helpful in applying dominant sets clustering to practical problems, and also indicate directions for further improvement of this algorithm.

关键词： GRAPH theory CLUSTER analysis (Statistics) computer algorithms SET theory GAME theory

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Explicit High Accuracy Maximum Resolution Dispersion Relation Preserving Schemes for Computational Aeroacoustics

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-11页

作者： Wang, J. L. Huang, Q. B. Liu, Z. X. Li, K. Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China Yichang Testing Tech Res Inst Yichang 430074 Hubei Peoples R China China Nucl Power Technol Res Inst Co Ltd Reactor Engn Testing Res Ctr Shenzhen 518026 Peoples R China

A set of explicit finite difference schemes with large stencil was optimized to obtain maximum resolution characteristics for various spatial truncation orders. The effect of integral interval range of the objective function on the optimized schemes' performance is discussed. An algorithm is developed for the automatic determination of this integral interval. Three types of objective functions in the optimization procedure are compared in detail, which show that Tam's objective function gets the best resolution in explicit centered finite difference scheme. Actual performances of the proposed optimized schemes are demonstrated by numerical simulation of three CAA benchmark problems. The effective accuracy, strengths, and weakness of these proposed schemes are then discussed. At the end, general conclusion on how to choose optimization objective function and optimization ranges is drawn. The results provide clear understanding of the relative effective accuracy of the various truncation orders, especially the trade-off when using large stencil with a relatively high truncation order.

关键词： COMPUTATIONAL aeroacoustics FINITE difference method SET theory PERFORMANCE evaluation computer algorithms

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