Considering the fast respond and high generalization accuracy of the min-max modular support vector machine (M3-SVM), we apply M3-SVM to solving the gender recognition problem and propose a novel task decomposition me...
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In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in X-ray image sequences. Different with traditional DSA image registration processes, in our ...
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In this paper we discuss the analogy between spatial distributed sensor network analysis and image processing. The analogy comes from the fact that in high density sensor networks the output of sensors is correlated b...
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In this paper we discuss the analogy between spatial distributed sensor network analysis and image processing. The analogy comes from the fact that in high density sensor networks the output of sensors is correlated both spatially and temporally. This means that the output of a sensor is correlated with the outputs of its neighbours. This characteristic is very similar to the pixels' output (intensity) in video signals. The video signal consists of multiple correlated frames (correlation in time), and each frame consists of large number of pixels, and usually there is high correlation between pixels (spatial correlation). By defining this relation one can use the well-known image processing techniques for sensor data compression, fusion, and analysis. As an example we show how to use the quadtree image decomposition for sensor spatial decomposition.
In this paper, some important characteristics for the aggregate system capacity maximization in downlink of DS-CDMA systems are studied. We derive a close form solution for the optimal power allocation in the case tha...
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In this paper, some important characteristics for the aggregate system capacity maximization in downlink of DS-CDMA systems are studied. We derive a close form solution for the optimal power allocation in the case that the users are orthogonal to each other. Theoretically, this orthogonality condition between M active users can be achieved by using null steering adaptive antenna array with at least M antenna elements. In addition, we study the loss of orthogonality and suggest a set of rules for finding the optimal active users. Based on the set of rules we propose two heuristic guided suboptimal scheduling algorithms, which can achieve close to optimal performance in non-orthogonal situation, moreover they can achieve the optimum performance in perfect orthogonal situation.
In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group c...
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Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quant...
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Iterative learning control has the potential to significantly improve the tracking performance of repeating trajectory control systems. However, until now little attempt has been made to measure this performance quantitatively. A new iterative learning control performance index PI N is introduced which allows direct, quantitative, performance comparison of different algorithms, or alternatively a single algorithm which has variable tuning parameters. In particular, PI N can be used as a tool for selecting and adjusting algorithm tuning parameters. Application of the new performance index is demonstrated with both simulation studies and practical implementation on a gantry robot
This paper focuses on the design of autonomous and collaborative control strategies to govern the relative distances among multiple spacecraft in formation with no ground intervention. A coordinate load-sharing contro...
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This paper focuses on the design of autonomous and collaborative control strategies to govern the relative distances among multiple spacecraft in formation with no ground intervention. A coordinate load-sharing control structure for formation flying and a methodology to control their dynamic models with slow time-varying and uncertain parameters are the main objectives of this work. The method is applied to a deep space formation example, where the uncertainty in spacecraft fuel masses is also considered.
We provide an overview of the DAME project, and a discussion of the progress made to date on the development of a distributed aeroengine diagnosis environment as a proof of concept demonstration for grid computing. We...
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We provide an overview of the DAME project, and a discussion of the progress made to date on the development of a distributed aeroengine diagnosis environment as a proof of concept demonstration for grid computing. We discuss the development of a demonstration diagnosis workbench system for this complex, data intensive, diagnosis application that must be operated as a distributed 'virtual organisation'. We describe the core diagnosis applications that have been implemented as grid services, and explain how these services are being deployed within the overall diagnosis process
Telepresence aims at giving a human user the impression of being present in a remote environment. However, the user is actually situated in a user environment and his motion is tracked. A mobile teleoperator in the re...
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Telepresence aims at giving a human user the impression of being present in a remote environment. However, the user is actually situated in a user environment and his motion is tracked. A mobile teleoperator in the remote environment replicates this motion. The user can thus control the mobile teleoperator's locomotion by walking. A stereo-camera system mounted on the mobile teleoperator constantly records live camera images and transfers them to the user environment, where they are presented to the user on a head-mounted display. This paper presents a long distance experiment, in which a mobile teleoperator was controlled over a standard Internet connection by natural locomotion. Without further processing of the user's motion data, however, only exploration of a remote environment of the same size or smaller than the user environment is possible. As this is not desirable, we use motion compression, an optimal nonlinear transformation of the user's path. This algorithm allows controlling free motion in an arbitrarily large target environment from a limited user environment.
This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is u...
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This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is used. A fault due to unexpected change in system parameters will appear as the change of identified model. Kullback discrimination Information (KDI) can then be used as the fault detection index to evaluate the distortion in identified model. Several schemes to improve the fault detection performance are proposed, as well as the realization of a kind of fault isolation function based on a recognition approach in the model parameter space. The effectiveness of the method is verified through simulation studies on the ship propulsion system constructed for benchmark test.
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