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AN ADAPTIVE LOAD BALANCING ALGORITHM IN OBJECT-BASED STORAGE systems

AN ADAPTIVE LOAD BALANCING ALGORITHM IN OBJECT-BASED STORAGE...

引用

2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： LING-JUN QIN DAN FENG Key Laboratory of Data Storage Systems Ministry of Education of China Huazhong University of Science and Technology Wuhan China

Load balancing is a key issue in large-scale Object-Based Storage systems. Many data replication and migration algorithms have been proposed for load balancing in distributed systems. However, the two operations, data replication and migration, are studied separately. An adaptive load balancing algorithm is presented in this paper, which combines replication and migration in a uniform ***, this algorithm uses a hybrid load metric which reflects short-term and long-term load status. To solve the online problem with a changing workload, the algorithm employs an adaptive mechanism to keep track of the characteristics of workloads. The simulation results show that the algorithm with object replication and migration can markedly reduce the overall response time

关键词： Load balancing Object-based Storage

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Rapid Multi-modality preRegistration based on SIFT descriptor

Rapid Multi-modality preRegistration based on SIFT descripto...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jian Chen Jie Tian Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China

This paper describes the scale invariant feature transform (SIFT) method for rapid preregistration of medical image. This technique originates from Lowe's method wherein preregistration is achieved by matching the corresponding keypoints between two images. The computational complexity has been reduced when we applied SIFT preregistration method before refined registration due to its O(n) exponential calculations. The features of SIFT are highly distinctive and invariant to image scaling and rotation, and partially invariant to change in illumination and contrast, it is robust and repeatable for cursorily matching two images. We also altered the descriptor so our method can deal with multimodality preregistration

关键词： Biomedical imaging Lighting Robustness Image registration Computer vision Image analysis Histograms Cities and towns USA Councils Computational complexity

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Multi-modal Medical Image Registration Based on Adaptive Combination of Intensity and Gradient Field Mutual Information

Multi-modal Medical Image Registration Based on Adaptive Com...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jiangang Liu Jie Tian Yakang Dai Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences China

Mutual information (MI) is an effective criterion for multi-modal image registration. However the traditional MI function only includes intensity information of images and lacks sufficient spatial information to accurately measure the degree of alignment of two images, and besides, it is apt to be influenced by intensity interpolation, therefore presents many local maxima which frequently lead to misregistration. Our paper proposes a criterion of adaptive combination of intensity and gradient field mutual information (ACMI). Unlike the intensity MI computed from two original images, the gradient field MI of two images is calculated from their gradient code maps (GCM) constructed by coding the gradient field information of corresponding original image. Because of their complementary properties, these two MI functions are combined to form ACMI by a nonlinear weight function which can be adaptively regulated according to their performances and make the better dominant in the combination. Experimental results demonstrate that the ACMI outperforms the traditional MI and furthermore the former is much less sensitive than the latter to the reduction of resolution or overlapped region of images

关键词： Biomedical imaging Image registration Mutual information Image resolution Entropy Interpolation Biomedical image processing Cities and towns USA Councils Image coding

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Modeling and analysis of artificial transportation system based on multi-agent technology

Modeling and analysis of artificial transportation system ba...

引用

International Conference on Intelligent Transportation

作者： He Qinghai Miao Yuantao Li Fei-Yue Wang Shuming Tang Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Key Laboratory for Complex Systems and Intelligence Science CnTech Company Chinese Academy and Sciences Beijing China University of Arizona Tucson Tucson AZ USA Institute of Automation Shandong Academy of Sciences Jinan China

This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium

关键词： Vehicles Game theory Laboratories Intelligent systems Traffic control Rail transportation Telecommunication traffic Decision making Grid computing Multiagent systems

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A Qualitative and Quantitative Interaction Technique for Freehand 3D Ultrasound Imaging

A Qualitative and Quantitative Interaction Technique for Fre...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Yakang Dai Jie Tian Jian Xue Jiangang Liu Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China

Conventional freehand 3D ultrasound imaging techniques separate the scanning and reconstruction steps from the visualization step. Several approaches that enable real-time volume reconstruction and visualization during acquisition have been described in the literature in recent years. However, these approaches are not fully interactive, since they do not provide sufficient feedbacks on volume reconstruction. In this paper, we present a qualitative and quantitative interaction technique (QAQIT) which can provide accurate feedbacks on volume reconstruction in real time during acquisition. Two threads are designed for data acquisition: one is to acquire B-scan images from the ultrasound scanner sequentially, and the other is to obtain positions and orientations from the position sensor continuously. A matching thread matches the latest acquired image with its relative position and orientation (PAO), and then reconstructs the image into a predefined volume. After the 3D reconstruction of each image, we calculate the reconstructed ratio (RR) and increased ratio (IR) of the reconstruction volume (RV), then update the display of the RR, and drive the volume rendering of the RV according to the IR. A freehand system based on the QAQIT has been developed on a personal computer (PC). We demonstrate our system on an embryo phantom

关键词： Ultrasonic imaging Image reconstruction Visualization Feedback Yarn data acquisition Image sensors Three dimensional displays Computer displays Drives

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A simple design method of H∞ reduced-order filters for stochastic systems

A simple design method of H∞ reduced-order filters for stoc...

引用

ISCAS 2006: 2006 IEEE International Symposium on Circuits and systems

作者： Zhisheng, Duan Jingxin, Zhang Cishen, Zhang Mosca, Edoardo State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science Beijing 100871 China Department of Electrical and Computer Systems Engineering Monash University Vic. 3800 Australia School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Dipartimento di Sistemi e Informatica Universityá di Firenze Italy

ISBN: (纸本)0780393902

This paper is concerned with reduced-order H∞ filtering of stochastic systems. Based on linear matrix inequality (LMI) technique, a new design method is proposed for the reduced-order filtering of stochastic linear systems. The method is derived from decomposing the key matrix in LMIs which determines the order of designed filters. Different from the existing methods, the proposed method first minimizes the upper bound of the key matrix and then eliminates its near-zero eigenvalues, which results in a simpler, more direct and reliable design procedure. The method is applicable to both continuous and discrete time stochastic systems. Its effectiveness is illustrated by an example. ©2006 IEEE.

关键词： Wave filters

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Face Recognition with Relative Difference Space and SVM

Face Recognition with Relative Difference Space and SVM

引用

International Conference on Pattern Recognition

作者： Xiaoguang He Jie Tian Yuliang He Xin Yang Center for Biometrics and Security Research Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China

In this paper, a new method based on relative difference space (RDS) and support vector machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of difference space (DS), RDS is reversible and it overcomes the ill-transformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions

关键词： Face recognition Support vector machines Support vector machine classification Helium databases Robustness Lighting Biometrics National security Laboratories

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3D Medical Imaging Computation and Analysis Platform

3D Medical Imaging Computation and Analysis Platform

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： Huiguang He Jie Tian Mingchang Zhao Jian Xue Ke Lu Key Laboratory of Complex Systems and Intelligence Science Chinese Academy and Sciences China College of Computing & Communication Engineering Chinese Academy of Sciences China

Currently in the community of medical imaging computation and analysis, there exist several excellent toolkits for various tasks. For example, VTK (http://***) is the most famous visualization tool and ITK (http://***) plays an important role in the segmentation and registration of medical images. These toolkits can assist the doctors to get the more accurate diagnosis, and help the researchers to get the more powerful capability of medical image processing. However, they are separate and style-various. Even for VTK and ITK, which are designed by the same company, users have to familiarize the two completely different coding styles. In this situation, using all of these toolkits is difficult. In this study, we will introduce 3D medical imaging computation and analysis platform (3DMed), which provides powerful functions such as image preprocessing, virtual cutting, surface rendering, volume rendering, manipulation and virtual endoscopy. The functional module description, system design and the visualization algorithm is demonstrated. The system can be widely applied to processing and analysis of CT and MR images.

关键词： Biomedical imaging Image analysis Visualization Rendering (computer graphics) Image segmentation Medical diagnostic imaging Biomedical image processing Image coding Endoscopes System analysis and design

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Robust Partial Volume Segmentation with Bias Field Correction in Brain MRI

Robust Partial Volume Segmentation with Bias Field Correctio...

引用

International Conference on Pattern Recognition

作者： Huiguang He Bin Lv Ke Lu Key Laboratory of Complex Systems and Intelligence Science Chinese Academy and Sciences China College of Computing & Communication Engineering Chinese Academy of Sciences China

ISBN: (纸本)0769525210

In MR imaging, image noise, bias field, and partial volume effect are adverse phenomena that increases inter-tissue overlapping and hampers quantitative analysis. This study provides a powerful fully automated classification method, which combines the bias field correction and PV segmentation together. The method has been validated on simulated and real MR images for which gold standard segmentation available. The experimental results show that the proposed method is more accurate and robust than currently available models

关键词： Robustness Magnetic resonance imaging Image segmentation Image analysis Anisotropic magnetoresistance Filters Brain modeling Smoothing methods Deformable models Helium

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Stability analysis of network data flow control for dynamic link capacity case

引用

作者： Yang, Yuequan Li, Yaqin Tan, Min Yi, Jianqiang Wen, John T. Guo, Xuewu College of Information Engineering Yangzhou University Yangzhou 225009 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States Shanxi Jinyao Coking Co. Ltd. Shanxi 030001 China

ISBN: (纸本)3540372555

Much attention has been paid upon network data flow control in recent years. The main problem in this field is how to design good algorithm or control law for flow rate of network data flow sources and for updated price of communication links. Base on Lyapunov stability theory, this paper makes a deep analysis of stability of such network data flow control systems with the consideration of dynamic link capacity case. Simulations show that the stability analysis of dynamic link capacity of network data flow control system provided in the paper is enlightening and meaningful to further understand and design good control strategy of network data flow control problem. © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Flow control

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