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24th international Joint conference on Artificial Intelligence, IJCAI 2015

作者： Du, Liang Zhou, Peng Shi, Lei Wang, Hanmo Fan, Mingyu Wang, Wenjian Shen, Yi-Dong State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China School of Computer and Information Technology Shanxi University China University of Chinese Academy of Sciences China Institute of Intelligent System and Decision Wenzhou University China

ISBN: (纸本)9781577357384

The k-means algorithm is one of the most often used method for data clustering. However, the standard k-means can only be applied in the original feature space. The kernel k-means, which extends k-means into the kernel space, can be used to capture the non-linear structure and identify arbitrarily shaped clusters. Since both the standard k-means and kernel k-means apply the squared error to measure the distances between data points and cluster centers, a few outliers will cause large errors and dominate the objection function. Besides, the performance of kernel method is largely determined by the choice of kernel. Unfortunately, the most suitable kernel for a particular task is often unknown in advance. In this paper, we first present a robust k-means using 2,1-norm in the feature space and then extend it to the kernel space. To recap the powerfulness of kernel methods, we further propose a novel robust multiple kernel k-means (RMKKM) algorithm that simultaneously finds the best clustering label, the cluster membership and the optimal combination of multiple kernels. An alternating iterative schema is developed to find the optimal value. Extensive experiments well demonstrate the effectiveness of the proposed algorithms.

关键词： Iterative methods

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A business-data-oriented workflow mining algorithm and its application 8

A business-data-oriented workflow mining algorithm and its a...

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8th international conference on Internet Computing for science and Engineering, ICICSE 2015

作者： Wang, Yong Zhang, Jianchuan Cui, Jiahe Song, Hongtao Li, Zhigang College of Computer Science and Technology Harbin Engineering University Haerbin China College of Information and Communication Engineering Harbin Engineering University Haerbin China

ISBN: (纸本)9781509004546

The mining of workflow process aims at finding valuable objective information from log data. It leads useful implications for new business processes and analysis. Unfortunately most of business process data is incomplete and noisy which brings deficiencies for describing and mining workflow. The existing algorithms ignore time-based parameters, which is important for processing the incomplete workflow data. In this paper, we define the parameters of single transaction frequency and time intervals. Then we propose a business-data-oriented workflow excavation algorithm (termed as E-&-algorithm), which improves the exploration of differences between the actual business processes by removing noisy data efficiently. With this new algorithm, we aim to optimize the key business process model and build future intelligent workflow system to assist decision-making and process mechanism optimization. © 2015 IEEE.

关键词： Decision making

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Algorithm for computing the queue length distribution at various time epochs in DMAP/G^(1,a,b)/1/N queue with batch-size-dependent service time

Algorithm for computing the queue length distribution at var...

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26th EURO-INFORMS Joint international conference

作者： Yu, Miaomiao Alfa, Attahiru Sule Sichuan Univ Sci & Engn Sch Sci Zigong 643000 Sichuan Peoples R China Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 5V6 Canada

This paper presents a discrete-time single-server finite-buffer queue with Markovian arrival process and generally distributed batch-size-dependent service time. Given that infinite service time is not commonly encountered in practical situations, we suppose that the distribution of the service time has a finite support. Recently, a similar continuous-time system with Poisson input process was discussed by Banerjee and Gupta (2012). But unfortunately, their method is hard to apply in the analysis of discrete-time case with versatile Markovian point process due to the fact that the difference equation governing the boundary state probabilities is more complex than the continuous one. If we follow their ideas, we will eventually find that some important joint queue length distributions cannot be computed and thus some key performance measures cannot be derived. In this paper, replacing the finite support renewal distribution with an appropriate phase-type distribution, the joint state probabilities at various time epochs (arbitrary, pre-arrival and departure) have been obtained by using matrix analytic method and embedded Markov chain technique. Furthermore, UL-type RG-factorization is employed in numerical computation of block-structured Markov chains with finitely-many levels. Some numerical examples are presented to demonstrate the feasibility of the proposed algorithm for several service time distributions. Moreover, the impact of the correlation factor on loss probability and mean sojourn time is also investigated. (C) 2015 Elsevier BY. All rights reserved.

关键词： Queueing Batch-size-dependent service Markovian arrival process Phase-type distribution Finite-buffer

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Cooperative engineering of agent-based process control algorithm 12th

Cooperative engineering of agent-based process control algor...

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12th international conference on Cooperative Design, Visualization, and Engineering, CDVE 2015

作者： Polaków, Grzegorz Laszczyk, Piotr Electronics and Computer Science Silesian University of Technology Gliwice Poland

ISBN: (纸本)9783319241319

Process control algorithms constitute a specific software model, as they have well-defined and constant sets of inputs and outputs, and perform calculations cyclically in real time. Therefore, the algorithms rarely are implemented otherwise than embedded in the low level control instrumentation. This paper proposes a departure from this well-known approach in order to apply multiagent system directly in the control layer. While this novel approach creates few issues requiring resolving, such as the need to develop an agent-based software operating in real time, it also provides the crucial benefit i.e. the possibility of developing the modules of the control algorithm by experts from different fields, which allows for cooperative dynamic engineering of a control algorithm. The resulting methodology allows to include more modern and advanced solutions from various fields of control science than it is possible in the case of the classical approach. © Springer international Publishing Switzerland 2015.

关键词： Process control

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A method of automatically generating 2D animation intermediate frames

A method of automatically generating 2D animation intermedia...

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international conference of Young computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Qiu, Zhaowen Chen, Haiyan Zhang, Tingting Gao, Yan Information and Computer Engineering Northeast Forestry University China Heilongjiang Institute of Commerce China Software Engineering Institute East China Normal University China

ISBN: (纸本)9783662462478

This paper proposes the automatic generation of the middle frame and the middle frame automatic coloring method of two-dimensional animation process, users simply given starting key frames and end key frames, According to the algorithm proposed in this paper, the system can automatically generate all key frames that in the middle, and based on the starting key frame and termination of key frame color, the generated in the middle of the frame will been automatically chromatically. The experimental results show that, the automatic generation of intermediate frames and the middle frame automatic coloring method of two-dimensional animation is proposed in this paper production process can be successfully used in animation production, greatly improving the efficiency of animation. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Animation

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Algorithm for computing the queue length distribution at various time epochs in DMAP/G^(1,a,b)/1/N queue with batch-size-dependent service time

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2015年第1期244卷 227-239页

作者： Yu, Miaomiao Alfa, Attahiru Sule Sichuan Univ Sci & Engn Sch Sci Zigong 643000 Sichuan Peoples R China Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 5V6 Canada

关键词： Queueing Batch-size-dependent service Markovian arrival process Phase-type distribution Finite-buffer

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Hierarchical modeling of systems with similar components 12

Hierarchical modeling of systems with similar components

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12th international conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012

作者： Memarzadeh, Milad Pozzi, Matteo Kolter, J. Zico Dept. of Civil and Env. Eng. Carnegie Mellon University Pittsburgh United States Dept. of Civil and Env. Carnegie Mellon University Pittsburgh United States Dept. of Computer Science Carnegie Mellon University Pittsburgh United States

ISBN: (纸本)9780888652454

Identifying optimal management policies for systems made up by similar components is a challenging task, due to dependence in the components' behavior. In this setting, observations collected on one component are also relevant for learning the behavior of others. Probabilistic graphical models allow for consistent inference using all available data, taking dependence among components into account, while optimizing system operation. In this paper we propose a framework for management of systems made by similar components based on hierarchical Bayesian modeling, called Multiple Uncertain Partially Observable Markov Decision Processes (MU-POMDP), that overcomes some limitations of a previously proposed approaches. We describe a detailed numerical algorithm to learn the system parameters within this framework and we investigate its performance with an example of management of a wind farm (i.e., the system) made up by turbines of the same type (i.e., the components).

关键词： Markov processes

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A framework for mobile microrobots control

A framework for mobile microrobots control

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AASRI international conference on Applied Engineering science, ICAES 2014

作者： Dragomir, Florin Ivan, Mihaela Ivan, Alexandru Automation Computer Science and Electrical Engineering Department Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9781138026490

Recent progress in micro-/nanotechnologies, related to the manufacturing and control strategies has enabled the micro-electro-mechanical systems (MEMS) actuators and sensors. A new developing field has recently appeared in the nano- and micro-technologies, the untethered, submillimeter, nano- or micro-sized robots, which present potential applications in targeted drug delivery, biomedical diagnosis or micro-electromechanical parts microassembly. Many problems, such as microfabrication, system design, control and remote power sourcing still need to be considered and developed to real applications. Microrobotics is the field of miniature robotics and represents that category of robotics, which are concerned with the study and application of miniature ones such as mobile robots of micrometre scale. This article presents a microrobotics perspective on the microfabrication and micromanipulation work that we performed. The major current challenges are effective innovation, remote power sourcing, and suitable mechanisms for locomotion. Driving and propelling such small devices is needed to overcome the nonlinear physics at this dimension (nano- or micrometers size). Then, the ability to accurately manoeuver it is the next challenge. © 2015 Taylor & Francis Group, London.

关键词： Microfabrication

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A new approach for vehicle recognition and tracking in multi-camera traffic system 15th

A new approach for vehicle recognition and tracking in multi...

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15th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Jiang, Wenbin Lu, Zhiwei Jin, Hai Chi, Ye Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271361

In order to ensure recognition accuracy, intelligent traffic video tracking system usually requires various types of information. Therefore, multi-features fusion becomes a good choice. In this paper, a new recognition approach for vehicle types based multi-feature fusion is proposed, which is used for vehicle tracking in a multi-camera traffic system. An improved Canny operator is presented for edge detection. SURF (Speeded Up Robust Features) is used for local feature extraction. To improve the performance of distance cal- culation between features, a refined method based on Hellinger kernel is put forward. A position constraint rule is applied to reduce unnecessary fake matchings. Finally, the information of vehicle types combined with LBP (Local Binary Pattern), HOG (Histogram of Oriented Gradients) is used for a multi-camera vehicle tracking platform, which adopts Hadoop to realize the parallel computing of the system. Experimental results show that the proposed approach has good performance for the platform. © Springer international Publishing Switzerland 2015.

关键词： Local binary pattern

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Pedestrian detection and counting based on ellipse fitting and object motion continuity for video data analysis 11th

Pedestrian detection and counting based on ellipse fitting a...

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11th international conference on Intelligent Computing, ICIC 2015

作者： Wang, Yaning Zhang, Hong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China

ISBN: (纸本)9783319221793

In order to detect and count pedestrians in different kinds of scenes, this paper put forward a method of solving the problem on video sequences captured from a fixed camera. After preprocessing operations on the original video sequences (Gaussian mixture modeling, three-frame-differencing, image binaryzation, Gaussian filtering, dilation and erosion) we extract the relatively complete pedestrian contours. Then we use the least square ellipse fitting method on those contours that has been extracted, the center of the ellipse is undoubtedly regarded as the tracking point of a pedestrian. With those points, a pedestrian matching pursuit and counting algorithm based on object motion continuity is used for tracking and counting pedestrians, this method can be better used in those scenes which are sparse and rarely obscured. Experiments validate that our pedestrian matching pursuit and counting algorithm has obvious superiorities: good real-time performance and high accuracy. © Springer international Publishing Switzerland 2015.

关键词： Geometry

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