This paper investigates the maintenance scheduling problem in a flow line system consisting of two series machines with a finite buffer in between. The machines deteriorate with age and have multiple deteriorating qua...
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An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by...
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An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness and traceability. Then, the stability of the system is proved by Lyapunov function. Finally, the numerical simulation results of step-response and attitude tracking illustrate the robustness and effect of the method.
Panchromatic (Pan)-sharpening of multispectral (MS) bands is an important technique in various applications of satellite remote *** this paper, we apply the support value transform (SVT) to Ikonos image *** fused sali...
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Panchromatic (Pan)-sharpening of multispectral (MS) bands is an important technique in various applications of satellite remote *** this paper, we apply the support value transform (SVT) to Ikonos image *** fused saliency features are represented by support values and extracted by *** low-resolution MS bands are resampled to the fine scale of the Pan image and sharpened by injecting the detailed features extracted from the high-resolution Pan *** fusing results on Ikonos MS + Pan data demonstrate that the proposed image fusion method is effective and efficient.
A novel method based on the defocus map estimation and the Non-Subsampled Contourlet Transform(NSCT) is proposed in this ***,the degree of defocus of source images is ***,source images are divided into the left focuse...
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ISBN:
(纸本)9781138065840
A novel method based on the defocus map estimation and the Non-Subsampled Contourlet Transform(NSCT) is proposed in this ***,the degree of defocus of source images is ***,source images are divided into the left focused area,right focused area,and uncertain area,according to the defocus map estimation of source *** the same time,high-frequency coefficients and low-frequency coefficients of source images are obtained after the NSCT is employed for source *** uncertain area,Sum of Modified Laplace(SML) and Spatial Frequency(SF) are employed to fuse low-frequency coefficients and high-frequency coefficients,*** the left focused area and the right focused area,the corresponding focused areas of source image are selected ***,through the combination of the fused uncertain area,the left focused area and the right focused area of the fused image are *** with the traditional methods,experiment results show that the fusion effect is improved obviously in vision and parameters.
In recent years,there are numerous studies on chaotic systems with special equilibrium curves having various shapes such as circle,butterfly,heart and *** paper describes a new 3-D chaotic dynamical system with a caps...
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In recent years,there are numerous studies on chaotic systems with special equilibrium curves having various shapes such as circle,butterfly,heart and *** paper describes a new 3-D chaotic dynamical system with a capsule-shaped equilibrium *** proposed chaotic system has two quadratic,two cubic and two quartic nonlinear *** is noted that the proposed chaotic system has a hidden attractor since it has an infinite number of equilibrium *** is also established that the proposed chaotic system exhibits multi-stability with two coexisting chaotic attractors for the same parameter values but differential initial states.A detailed bifurcation analysis with respect to variations in the system parameters is portrayed for the new chaotic system with capsule equilibrium *** have shown MATLAB plots to illustrate the capsule equilibrium curve,phase orbits of the new chaotic system,bifurcation diagrams and *** an engineering application,we have proposed a speech cryptosystem with a numerical algorithm,which is based on our novel 3-D chaotic system with a capsule-shaped equilibrium *** proposed speech cryptosystem follows its security evolution and implementation on Field Programmable Gate Array(FPGA)*** results show that the proposed encryption system utilizes 33%of the FPGA,while the maximum clock frequency is 178.28 MHz.
Hierarchy task network (HTN) planning, as one of AI planning approaches, has been widely used in the emergency decision making for action planning in recent years, in which domain knowledge plays an important role. Th...
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Hierarchy task network (HTN) planning, as one of AI planning approaches, has been widely used in the emergency decision making for action planning in recent years, in which domain knowledge plays an important role. The special and complicated characteristics of emergency domain knowledge make it difficult to model, hindering the application of HTN planning to emergency action plan development. Though ontology modeling can get over the difficulty, existing ontology models for the emergency domain knowledge are either incomplete or not applicable for HTN planning. This paper aims at constructing emergency domain knowledge ontology applicable for HTN planner SHOP2 which can effectively support the emergency action plan development. An approach of translating an emergency domain knowledge model into a SHOP2 domain is also discussed in the paper. Finally an implementation of our work is roughly introduced.
An improved fast and direct volume rendering algorithm utilizing the least redundancy strategy is proposed in this paper. Considering convolve can be concluded from several inputs to one output, we dispose the interes...
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An improved fast and direct volume rendering algorithm utilizing the least redundancy strategy is proposed in this paper. Considering convolve can be concluded from several inputs to one output, we dispose the interested voxel as well as those affecting them to evidently reduce the redundancy. In the new algorithm, buffers are utilized availability to avoid disposing a voxel repeatedly to save memory and time. The experiment results show the efficiency and good performance of the proposed algorithm in visualization.
In order to solve the problem of image degradation caused by dust environments, an image degradation model considering multiple scattering factors caused by dust was first established using the first-order multiple sc...
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An automatic image mosaic technique based on interest points feature matching (IPFM) was proposed. Firstly the combined corner and edge detector is used to gain the interest points, and a kind of bidirectional greates...
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An automatic image mosaic technique based on interest points feature matching (IPFM) was proposed. Firstly the combined corner and edge detector is used to gain the interest points, and a kind of bidirectional greatest correlative coefficient match law is used to extract the initial feature points pair, then the false feature points pair is rejected by space coordinate distance criterion, finally the correct match feature points pair is used to realize image stitching;In addition, the field value concept is introduced in the image fusion technology to solve the smooth transition problem through overlap region. The experimental results indicated that this method can fast and accurately extract the corresponding feature points between two images and reduce the probability greatly which matches by mistake. Under the existing slight rotator situation, this method still could effectively realize the image smoothly stitching.
An automatic image mosaic method based on invariant moments of interest points was proposed. Firstly the Harris corner detector is used to gain the interest points, and the moment invariants to translation, rotation a...
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An automatic image mosaic method based on invariant moments of interest points was proposed. Firstly the Harris corner detector is used to gain the interest points, and the moment invariants to translation, rotation and scale defined on the interest point neighborhood are computed. Then by comparing the Euclidean distance of these invariant moments, the initial feature points pairs are extracted, and the spurious feature points pairs are by eliminated by geometric transform model. Finally image stitching with the correct mapping model is realized. Experimental results demonstrate the proposed algorithm is robust to translation, rotation and slight scaling.
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