In this paper, the competition of dynamic oligopoly in the cruise line industry is modeled as an N-person nonzero-sum noncooperative dynamic game where a finite number of cruise lines compete to maximize their profits...
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In this paper, the competition of dynamic oligopoly in the cruise line industry is modeled as an N-person nonzero-sum noncooperative dynamic game where a finite number of cruise lines compete to maximize their profits over a fixed planning horizon. The noncooperative Nash equilibrium capacity investment strategies of cruise lines are theoretically analyzed under the open-loop and closed-loop information structures. The optimality conditions for open-loop and closed-loop Nash equilibrium solutions are derived using a Pontryagin-type maximum principle and given economic interpretations so as to demonstrate the differences between the open-loop and closed-loop Nash equilibrium solutions. The dynamic oligopolistic competition of three cruise lines in a hypothetical setting is numerically analyzed by using the iterative algorithms for open-loop and closed-loop models. Numerical results provide a number of important managerial guidelines for cruise capacity investment decisions. The paper concludes with a discussion on future research directions.
In this paper a channel coding and modulation scheme for providing HDTV broadcasting services is presented, which adopts BICM structure as inner code in connection with 64QAM constellation and OFDM transmission. A new...
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In this paper a channel coding and modulation scheme for providing HDTV broadcasting services is presented, which adopts BICM structure as inner code in connection with 64QAM constellation and OFDM transmission. A new mapping method is designed to maximize the minimum Euclidean distance between signal points divided by feedback bits, thus an iterative algorithm between demodulator and decoder can be performed to acquire performance improvement. Analysis, simulation and laboratory test results,have proved that the proposed system has good SNR performance in both AWGN and multipath channels.
Parameter identification and optimization procedures often fail when the target model responses are insensitive to variations in the selected design variables (e.g., Young's modulus, plate thickness, etc.) of the ...
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Parameter identification and optimization procedures often fail when the target model responses are insensitive to variations in the selected design variables (e.g., Young's modulus, plate thickness, etc.) of the nominal model. This insensitivity simply indicates that the kinetic and strain energies associated with a group of elements relative to a given variable are negligible with respect to the total energies of the complete structure. Two independent conditions can lead to this situation. First, the model displacement fields are localized and do not attain the design variable in question. Second, the nominal properties of both the elements governed by the design variable and environing structure are such that no load paths cross through the zone in question. We are interested in determining the domain of sensitivity of a design variable so that it can be reinitialized in preparation for an optimization procedure. The proposed methodology is based on the application of sensitizing inputs and uses the ratio of local to global energies to redefined nominal stiffness properties. The procedure is validated with academic and industrial structures.
In this paper, we consider a signal/parameter estimation problem that is based on a linear model structure and a given setting of statistical models with unknown hyperparameters. We consider several combinations of Ga...
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In this paper, we consider a signal/parameter estimation problem that is based on a linear model structure and a given setting of statistical models with unknown hyperparameters. We consider several combinations of Gaussian and Laplacian models. We develop iterative algorithms based on two typical machine learning methods-the evidence-based method and the integration-based method-to deal with the hyperparameters. We have applied the proposed algorithms to adaptive prediction and wavelet denoising. In linear prediction, we show that the proposed algorithms are efficient tools for tackling a difficult problem of adapting simultaneously the. order and the coefficients of the predictor. In wavelet denoising, we show that by using the proposed algorithms, the noisy wavelet coefficients are subject to shrinkage and thresholding.
A simple algorithm based on a finite element method is newly formulated in the frequency domain for the analysis of nonlinear optical waveguide discontinuities. The nonlinear field solutions are simply obtained by ite...
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A simple algorithm based on a finite element method is newly formulated in the frequency domain for the analysis of nonlinear optical waveguide discontinuities. The nonlinear field solutions are simply obtained by iterating the calculation of linear problem. To show the validity and usefulness of the present approach, numerical examples for self-focusing guiding phenomena and nonlinear gratings are presented.
In the literature, most scheduling models are developed using mathematical methods such as programming models or graphic models like Petri net. Although they are efficient in computing, they are difficult to build and...
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In the literature, most scheduling models are developed using mathematical methods such as programming models or graphic models like Petri net. Although they are efficient in computing, they are difficult to build and understand by industry users. In order to make the scheduling model more capable and practical for industrial use, a new scheduling model based on the workflow management technique (SMWMT) is proposed here. It is a process-oriented compound model that features various process constraints definitions, activity behaviour descriptions, flexible resource definition and mapping, and graphic presentations that offer intuitional understandings to users. The corresponding scheduling system based on workflow simulation is provided. A cost-oriented iterative algorithm is proposed to enhance the scheduling performance. The example of the model and the simulation results show that the proposed model and scheduling method are effective.
Previously we have presented a selective image sharpening method based on the coupled nonlinear diffusion process composed of a nonlinear diffusion term, a fidelity term and an isotropic peaking term, and it can sharp...
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ISBN:
(纸本)0889864543
Previously we have presented a selective image sharpening method based on the coupled nonlinear diffusion process composed of a nonlinear diffusion term, a fidelity term and an isotropic peaking term, and it can sharpen only blurred edges without increasing the noise visibility. This paper extends our method to removal of image blurs due to image motion. The motion blur is not only shift-variant but also anisotropic. To adapt our method for the motion de-blurring, we replace the isotropic peaking term of our method, with the anisotropic peaking term steered to a motion direction of each pixel, and we devise its discrete calculus to adapt itself to the motion direction. By experiments using test image sequences containing artificial motion blurs, we quantitatively evaluate sharpening performance. Our new method using the anisotropic peaking term achieves the better performance than our prototypal method using the isotropic peaking term, and is robust to errors in estimation of motion directions.
Computation of grasps with form/force-closure is one of the fundamental problems in the study of multifingered grasping and dextrous manipulation. Based on the geometric condition of the closure property, this paper p...
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ISBN:
(纸本)0780382323
Computation of grasps with form/force-closure is one of the fundamental problems in the study of multifingered grasping and dextrous manipulation. Based on the geometric condition of the closure property, this paper presents a numerical test to quantify how far a grasp is from losing form/force-closure. With the polyhedral approximation of the friction cone, the proposed numerical test can be formulated as a single linear program. An iterative algorithm for computing optimal force-closure grasps, which is implemented by minimizing the proposed numerical test in the grasp configuration space, is also developed. The algorithm is computationally efficient and generally applicable. It can be used for computing form/force- closure grasps on 3D objects with curved surfaces, and with any number of contact points. Several simulation examples are given to show the effectiveness and computational efficiency of the proposed algorithm.
Previously we have presented a method for selective image sharpness enhancement. Our method is based on the simultaneous nonlinear reaction-diffusion time-evolution equipped with a nonlinear diffusion term, a reaction...
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ISBN:
(纸本)0819452114
Previously we have presented a method for selective image sharpness enhancement. Our method is based on the simultaneous nonlinear reaction-diffusion time-evolution equipped with a nonlinear diffusion term, a reaction term and an isotropic peaking term, and it can sharpen only degraded edges blurred by several causes without increasing the visibility of nuisance factors such as random noise. This paper applies our simultaneous nonlinear reaction-diffusion method to removal of image blurs due to image-motion. The motion blur is not only shift-variant but also anisotropic. To adapt our simultaneous nonlinear reaction-diffusion method for motion de-blurring, we replace the isotropic Laplacian operator, included in the isotropic peaking term of our prototypal method, with the anisotropic operator considering the direction of the estimated image motion. Preliminarily experiments using artificially generated test images show that our method achieves excellent motion de-blurring.
Multiwavelength elastic lidar is often used to probe the aerosol profiles of the atmosphere. Normally, the atmosphere is considered homogeneous and an a-priori aerosol ratio is given for each wavelength channel which ...
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ISBN:
(纸本)0819451231
Multiwavelength elastic lidar is often used to probe the aerosol profiles of the atmosphere. Normally, the atmosphere is considered homogeneous and an a-priori aerosol ratio is given for each wavelength channel which is then processed independently. However, it is clear that the multiwavelength retrieved backscatter profiles should contain information that can be used to estimate particle size distribution which may provide a new estimate to range dependant aerosol ratio profiles which can be repeated until convergence. In this paper, we illustrate the basic idea of using multiwavelength data using a two wavelength lidar to obtain local information on the lidar ratio which can be used to improve lidar profiling in inhomogeneous atmospheres and show that a key feature of any scheme is the monotonic dependance between the optical data ratio and the distribution parameter. In addition. we extend the approach to a prototypical Nd:YAG three wavelength (355, 532, 1064 nm) lidar arrangement and show that while an iterative lidar procedure can be used to extract range dependant profiles, imprecision in the inversion procedure as well as error propagation of the lidar back integration can hamper convergence.
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