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检索条件"机构=Key Laboratory for System Control and Information Processing"

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A PARTITIONING ALGORITHM OF SMALL WATER SUPPLY NETWORK BASED ON INFOWORKS WS SOFTWARE

A PARTITIONING ALGORITHM OF SMALL WATER SUPPLY NETWORK BASED...

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第26届中国过程控制会议（CPCC2015）

作者： Chen Yao Shaoyuan Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education

By analyzing operating principle and topology structure, complex water supply network can be abstracted into a weighted directed graph. Using Dijkstra algorithm, minimum dissipated power paths from water sources to all nodes have been calculated to simplify the original network. Combining Sugiyama algorithm, the main network layout with a hierarchical structure and initial District Metering Area can be defined. For those nodes who are far away from the water sources and close to the border area, a boundary criterion has been proposed to check the belongings and to determine the final District Metering Area partition. Finally, a sample town with real data in Info Works WS software has been set up. This case study is presented to illustrate the effectiveness of our proposed method.

关键词： District Metering Area Dijkstra algorithm Sugiyama algorithm Boundary Criterion

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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International Conference on Ubiquitous Robots and Ambient Intelligence

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical Engineering Taiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

ISBN: (纸本)9781509008223

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform (WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the classifiers. Next, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine (weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute, and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical EngineeringTaiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform(WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the ***, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine(weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute,and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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ERROR ESTIMATION and UNAMBIGUOUS RECONSTRUCTION for Chinese FIRST DUAL-CHANNEL SPACEBORNE SAR IMAGING

ERROR ESTIMATION and UNAMBIGUOUS RECONSTRUCTION for Chinese ...

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ISPRS Geospatial Week 2017

作者： Jin, T. Qiu, X. Hu, D. Ding, C. University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Technology in Geospatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing100190 China

Multichannel synthetic aperture radar (SAR) is a significant breakthrough to the inherent limitation between high-resolution and wide-swath (HRWS) faced with conventional SAR. Error estimation and unambiguous reconstruction are two crucial techniques for obtaining high-quality imagery. This paper demonstrates the experimental results of the two techniques for Chinese first dualchannel spaceborne SAR imaging. The model of Chinese Gaofen-3 dual-channel mode is established and the mechanism of channel mismatches is first discussed. Particularly, we propose a digital beamforming (DBF) process composed of the subspace-based error estimation algorithm and the reconstruction algorithm before imaging. The results exhibit the effective suppression of azimuth ambiguities with the proposed DBF process, and indicate the feasibility of this technique for future HRWS SAR systems. © Authors 2017.

关键词： digital beamforming (DBF) high-resolution and wide-swath (HRWS) orthogonal subspace method (OSM) Synthetic aperture radar (SAR) unambiguous reconstruction

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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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Achieving lightweight and fine-grained access control in mobile cloud computing 3

Achieving lightweight and fine-grained access control in mob...

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3rd information Science and Management Engineering Conference, ISME 2015

作者： He, Heng Tian, Chuan Jin, Yu Xia, Wei Wang, Yadan 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)9789897581632

Mobile cloud computing has emerged as one of the most promising technologies, which can greatly enlarge the application range of mobile devices by moving data storage and processing to powerful and centralized computing platforms located in clouds. However, how to keep data security and data privacy is an important and challenging issue when users outsource their sensitive data to mobile cloud for sharing. In this paper, we present a novel lightweight and fine-grained data access control scheme based on attribute-based encryption for mobile cloud computing. The analysis shows that the proposed scheme can meet the security requirement of mobile cloud computing, and provide flexible and expressive data access control policy. Furthermore, it has less computation cost compared with other schemes.

关键词： Access control

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Implementation of 3-D RDPAD algorithm on follicle images based CUDA 1

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11th International Conference on Intelligent Computing, ICIC 2015

作者： Jiang, Hongwei Liu, Jun Luo, keyang Hu, Wei Liu, Xiaoming 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: (数字)9783319221861

ISBN: (纸本)9783319221854

The 3-D Robust Detail Preserving Anisotropic Diffusion (3-D RDPAD) is an anisotropic diffusion which has many advantages on 3-D ultrasound image processing, especially in 3-D cattle follicle ultrasound Images. The 3-D RDPAD algorithm has good performance both in noise suppression and edge preserving. However, the computation of 3-D RDPAD algorithm requires a huge amount of time to complete because it directly operates on the 3-D image and it has logical judgment in every iteration. In this paper, we proposed a 3-D Parallel RDPAD algorithm using CUDA to solve this problem. By optimizing the logical judgment in diffusion stop condition, the speed of 3-D RDPAD algorithm has a notable improvement. We performed our algorithm on 3-D cattle follicle ultrasound Images and the result of the experiments showed that it revealed a great speedup over the original 3-D RDPAD. © Springer International Publishing Switzerland 2015.

关键词： Diffusion

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Sparse learning for robust background subtraction of video sequences 11th

Sparse learning for robust background subtraction of video s...

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11th International Conference on Intelligent Computing, ICIC 2015

作者： Luo, Yuhan 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

Sparse representation has been applied to background detecting by finding the best candidate with minimal reconstruction error using target templates. However most sparse representation based methods only consider the holistic representation and do not make full use of the sparse coefficients to discriminate between the foreground and the background. Learning overcomplete dictionaries that facilitate a sparse representation of the data as a liner combination of a few atoms from such dictionary leads to state-of-the-art results in image and video restoration and classification. To take these challenges, this paper proposes a new method for robust background detecting via sparse representation. Our method explores both the strength of the well-patch adaptive dictionary learning technique to video frame structure analysis and the robustness background detection by the l1-norm data-fidelity term. By using linear sparse combinations of dictionary atom, the proposed method learns the sparse representations of video frame regions corresponding to candidate particles. The experiments show that the proposed method is able to tolerate the background clutter and video frame deterioration, and improves the existing detecting performance. © Springer International Publishing Switzerland 2015.

关键词： Image representation

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Improved dendritic cell algorithm with false positives and false negatives adjustable 1

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11th International Conference on Intelligent Computing, ICIC 2015

作者： Yuan, Song Xu, Xin 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: (数字)9783319221809

ISBN: (纸本)9783319221793

In order to overcome the blindness of the evaluation on contexts in the classical Dendritic Cell Algorithm (DCA), how weight matrixes influence detection results is analyzed, and two kinds of DCA which can adjust false positives and false negatives are proposed. The first one is the improved voting DCA, the Tendency Factor (TF) is involved in the Dendritic Cell (DC) state transition to assess contexts fairly, and through the fine adjustment of TF false positives and false negatives of detection results are controlled;the other one is the scoring DCA, in the DC state transition phase the evaluation of contexts is ignored, instead, the antigen is directly given a score, then according to the distribution of average scores of antigens the anomaly threshold value can be adjusted to control false positives and false negatives. Experiments show that the two algorithms can both effectively realize results controlled, comparatively the scoring DCA is more intuitive. © Springer International Publishing Switzerland 2015.

关键词： Data fusion

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A 3-D robust detail preserving anisotropic diffusion for speckle reduction in 3-D cattle follicle ultrasound image

A 3-D robust detail preserving anisotropic diffusion for spe...

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作者： Liu, Jun Jiang, Hongwei Liu, Xiaoming School 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

In this paper, an anisotropic diffusion filtering algorithm is proposed by modifying the diffusion coefficient and the instantaneous coefficient of variation (ICOV). This algorithm can reduce the speckle in the ultrasound image effectively and well preserve an image's edges and details compared with the 3-D speckle reducing anisotropic diffusion filtering (3DSRAD). We applied this algorithm on a real 3-D ultrasound image and the result shows that the modified algorithm is less sensitive to the number of iterations than conventional 3D speckle, thus reducing anisotropic diffusion filtering. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Speckle

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