This study proposes a blog search framework which enables a more in-depth search on a given topic by extracting the collective intelligence features in social community sites and through the query extension using thes...
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Driven by the increase in complexity of design, time-to-market pressure and the need for a high level of collaboration between multiple discipline teams in a project, model based design has become the inevitable choic...
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There exists a class of nonlinear periodic disturbance in motor system. This nonlinear disturbance relates to some positions of system, and changes periodic by position. The research presents the system model with pos...
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The rail transport systems, including railway, MRT, and latest high speed rail, all play a major role in Taiwan public transit circuits. According to statistics, over 2,360,000 passengers use these railway systems eve...
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The theoretical and computational aspects of interval methodology based on Chebyshev polynomials for modeling multibody dynamic systems in the presence of parametric uncertainties are proposed, where the uncertain par...
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The theoretical and computational aspects of interval methodology based on Chebyshev polynomials for modeling multibody dynamic systems in the presence of parametric uncertainties are proposed, where the uncertain parameters are modeled by uncertain-but-bounded interval variables which only need the bounds of uncertain parameters, not necessarily knowing the probabilistic distribution. The Chebyshev inclusion function which employs the truncated Chevbyshev series expansion to approximate the original function is proposed. Based on Chebyshev inclusion function, the algorithm for solving the nonlinear equations with interval parameters is proposed. Combining the HHT-I3 method, this algorithm is used to calculate the multibody systems dynamic response which is governed by differential algebraic equations(DAEs). A numerical example that is a slider-crank with uncertain parameters is presented, which shows that the novel methodology can control the overestimation effectively and is computationally faster than the scanning method.
In this paper, the problem of reducing noise from low-dose Computed Tomography (CT) is investigated. The process is composed of: sparse coding, dictionary update and denoising;that is a time consuming process. Hence, ...
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Segmenting lateral ventricle in medical images plays an important role in medical diagnosis. The volume of lateral ventricle increases with age and it is an important indicator of Alzheimer's, schizophrenia, and d...
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This paper is concerned with the H2 and the mixed H 2/H∞ control problems with static state feedback. The purpose of this paper is to propose iterative methods for these problems. In this paper, firstly, we derive on...
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This paper evaluated four conventional methods for reflectance recovery: smoothness method [1], principle component analysis [2], basis functions with smoothness constraint [3] and Wiener estimation [4,5]. Most of the...
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ISBN:
(纸本)9781622767014
This paper evaluated four conventional methods for reflectance recovery: smoothness method [1], principle component analysis [2], basis functions with smoothness constraint [3] and Wiener estimation [4,5]. Most of these methods adopt a "learning-based" procedure with a training set. Modifications based on the training set were applied for improving the reflectance recovery performance. This paper described combined methods involving the application of localised training data and localised training data with a weighted matrix to the four recovery methods [1-5]. All these methods were applied to recover reflectance from XYZ values for two datasets. Both the training and testing performance were evaluated in terms of CIEDE2000 colour differences. The results showed that the performance of the methods with localised training data significantly improved. There are also limited improvements by applying the weighted matrix. Overall, the localised weighted method (using a local training set with a weighted matrix) with Weiner estimation method performed the best.
A hierarchical optimization procedure for the optimal synthesis of a double-axle steering mechanism used in truck with dynamic loads is presented. A multibody model of double-axle steering mechanism is presented to ch...
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