This paper presents an analysis of the applicability of Sparse Kernel Principal Component Analysis (SKPCA) for feature extraction in speech recognition, as well as, a proposed approach to make the SKPCA technique real...
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We present a hybrid classification method applicable to gesture recognition. The method combines elements of Hidden Markov Models (HMM) and various Dynamic programming Alignment (DPA) methods, such as edit distance, s...
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In this paper we present a new approach to 3D shape acquisition. This implementation enables a robot arm to move the scan unit over the object without the scan unit being tracked. The chosen structured light approach ...
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Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and stud...
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In recent years, there has been growing interest in Location Based Service (LBS). However, the existing LBS has some limitations in the management of dynamic location-dependent contents and interoperability between th...
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The paper proposes a layered scripting language technique for representation and control of avatar behavior for simpler avatar control in various domain environments. We suggest three layered architecture which is con...
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The influence of dimension parameters on the performance of Body-surface Laplacian electrodes is studied in this paper. Some rules about the parameter optimization design are presented. The investigation suggests that...
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Most of commercial websites provide customers with menu-driven navigation and keyword search. However, these inconvenient interfaces increase the number of mouse clicks and decrease customers' interest in surfing ...
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In nuclear power plants, there is an accelerating trend to upgrade and replace analog instrumentation and control systems with digital systems. This transition from analog to digital I&C systems is due to their ad...
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ISBN:
(纸本)089448690X
In nuclear power plants, there is an accelerating trend to upgrade and replace analog instrumentation and control systems with digital systems. This transition from analog to digital I&C systems is due to their added capabilities and their potential to improve reliability and safety of the corresponding plants. As this replacement process continues, one or more methodologies to address digital I&C system reliability are needed to quantify the risk introduced into the plants by such systems. In reviewing the proposed methodologies, it has become apparent that there is no benchmark system available to be used as the basis for methodology comparison. A set of preliminary requirements for a benchmark system is presented to evaluate objectively methodologies available for the reliability modeling of digital I&C systems in nuclear power plants. These requirements will provide a basis for the future development of a benchmark system.
This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows t...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.
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