Pattern effect as dishing and erosion on Cu-CMP process become a serious problem to fabricate multilevel interconnect in advanced ULSI devices. In the current study, planarization models using patterned wafer and ANSY...
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Diffusion maps are among the most powerful Machine Learning tools to analyze and work with complex high-dimensional datasets. Unfortunately, the estimation of these maps from a finite sample is known to suffer from th...
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Diffusion maps are among the most powerful Machine Learning tools to analyze and work with complex high-dimensional datasets. Unfortunately, the estimation of these maps from a finite sample is known to suffer from the curse of dimensionality. Motivated by other machine learning models for which the existence of structure in the underlying distribution of data can reduce the complexity of estimation, we study and show how the factorization of the underlying distribution into independent subspaces can help us to estimate diffusion maps more accurately. Building upon this result, we propose and develop an algorithm that can automatically factorize a high dimensional data space in order to minimize the error of estimation of its diffusion map, even in the case when the underlying distribution is not decomposable. Experiments on both the synthetic and realworld datasets demonstrate improved estimation performance of our method over the standard diffusion-map framework.
In this paper, a new SMC (sliding mode control) method for the slip suppression control of EVs (electric vehicles) is proposed. The proposed method aims to improve the maneuverability, the stability and the low energy...
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ISBN:
(纸本)9789898565716
In this paper, a new SMC (sliding mode control) method for the slip suppression control of EVs (electric vehicles) is proposed. The proposed method aims to improve the maneuverability, the stability and the low energy consumption of EVs by controlling the wheel slip ratio. The proposed method is the extended SMC method adding the integral term to improve the control performance. There also include numerical simulation results to demonstrate the effectiveness of the method.
In global food production, broiler chickens hold significant importance, which are traditionally managed through manual labour for both meat and egg production. However, the poultry farming industry has increasingly t...
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We study the problem of detecting an attack on a stochastic cyber-physical system. We start by proposing a detection criterion based on checking the statistics of the Kalman prediction error. To show the importance of...
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An Evolutionary algorithm is a subset of evolutionary computations. Cloning, mutation, recombination, and selection are some of the methods used by the evolutionary algorithm that were inspired by biological evolution...
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Wediscuss the problems of developinga theory of context that applies to the phenomena of naturally occurring discourse and that might be useful in assisting with the problemsthat arise in generating and interpreting d...
This paper applies the categories from an opinion annotation scheme developed for monologue text to the genre of multiparty meetings. We describe modifications to the coding guidelines that were required to extend the...
Creating realistic images from textual descriptions is a major challenge in computer vision and natural language processing. Traditional methods often fail to accurately translate text into visual representations, res...
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In this paper, we present preliminary results of our ongoing networked virtual reality project by discussing the implementation and performance of a networked haptic game. In this game, online players feel like handli...
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