This paper concerns the problem of on-line (real-time) computation of solutions to the optimal switching time problem in hybrid systems. The systems under consideration are autonomous, and the performance measure to b...
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ISBN:
(纸本)9781424414970;1424414970
This paper concerns the problem of on-line (real-time) computation of solutions to the optimal switching time problem in hybrid systems. The systems under consideration are autonomous, and the performance measure to be optimized has the form of a cost functional defined on the state trajectory. The state variable cannot, however, be measured directly and it has to be estimated by a suitable observer. In this paper, we propose an on-line optimization algorithm based on the state observer, and derive bounds on its convergence rate.
Changes in engineering for development of product in the direction of increased complexity, more variants, and customer demand orientation stimulates implementation of advanced information technology in the form of vi...
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Changes in engineering for development of product in the direction of increased complexity, more variants, and customer demand orientation stimulates implementation of advanced information technology in the form of virtual space. For this reason, concept of integrated product model has been implemented in comprehensive descriptions for lifecycle management of product information. Communication between engineer and modeling procedure is a critical factor. The authors identified data orientation of the recent integrated product modeling as a barrier for more efficient communication on user interfaces of product modeling systems. As a possible contribution to development of solution for this problem in industrial professional modeling systems, they propose content oriented layers between human and data oriented models in this paper. Following this, integration issues in content oriented product model are discussed. Next, relevant functions and modeling techniques for the handling of modeled object information are introduced and evaluated. Finally, a method is shown for the propagation of changes initiated for modeled objects in their affect zones.
A new speckle reduction algorithm based on subband decomposition and multiscale edge detection is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital ...
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A new speckle reduction algorithm based on subband decomposition and multiscale edge detection is presented. The subband decomposition is performed using a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank. The noisy images are decomposed into sub-images using RDFT transform based subband decomposition, an edge image is obtained for each level using these sub-images, then a threshold value is estimated according to noise variance in each subband and soft-thresholding is applied on the non-edge regions of the subband images. The despeckled image is obtained from the thresholded subband images using the inverse RDFT transform. The proposed speckle reduction method is applied to several test images corrupted by speckle noise as well as experimental RADARSAT/SAR images. Despeckled images show that this method has better performance than the case where no edge information is used.
The transmission of fully compatible H.264/AVC multi-view video coded streams over packet erasure networks is examined. Macroblock classification into unequally important slice groups is considered using the flexible ...
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The transmission of fully compatible H.264/AVC multi-view video coded streams over packet erasure networks is examined. Macroblock classification into unequally important slice groups is considered using the flexible macroblock ordering (FMO) tool of H.264/AVC. Systematic LT codes are used for error protection due to their low complexity and advanced performance. The optimal slice grouping and channel rate allocation are jointly determined by an iterative optimization algorithm based on dynamic programming. The experimental evaluation clearly demonstrates the validity of the proposed method.
A novel 9 rules self-tuning PD+I fuzzy logic controller applicable for a class of nonlinear plants is proposed in this paper. The controller comprises of three separate fuzzy logic controllers with each uses minimum n...
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We propose and demonstrate a wavelength converter-based time-slot-interchanger architecture consisting of cascaded programmable delay stages. It uses an integrated quadruple switch array of HMZI switches and operated ...
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ISBN:
(纸本)1557528306
We propose and demonstrate a wavelength converter-based time-slot-interchanger architecture consisting of cascaded programmable delay stages. It uses an integrated quadruple switch array of HMZI switches and operated error-free with 10 Gb/s NRZ packets.
With the human genome sequenced, attention has been shifting to proteins and their function. Several technologies including mass spectrometry and gel electrophoresis have traditionally been used to study proteins. The...
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Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel methodology for word segmentation in hist...
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Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel methodology for word segmentation in historical and degraded machine-printed documents. The proposed technique faces problems such as having text of different size, having text and non-text areas lying very near and having non-straight and warped text lines. It is based on: (i) a dynamic run length smoothing algorithm that helps grouping together homogeneous text regions, (ii) noise and punctuation marks removal as well as on obstacle detection in order to facilitate the segmentation process and (iv) a draft text line estimation procedure that guides the final word segmentation result. After testing on numerous historical and degraded machine-printed documents, it has turned out that our methodology performs better compared to current state-of-the-art word segmentation techniques for historical and degraded machine-printed documents.
This paper presents a novel methodology for content-based search and retrieval of 3D objects. After proper positioning of the 3D objects using translation and scaling, a set of functionals is applied to the 3D model p...
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This paper presents a novel methodology for content-based search and retrieval of 3D objects. After proper positioning of the 3D objects using translation and scaling, a set of functionals is applied to the 3D model producing a new domain of concentric spheres. In this new domain, a new set of functionals is applied,resulting in a descriptor vector which is completely rotation invariant and thus suitable for 3D model matching. Further, weights are assigned to each descriptor, so as to significantly improve the retrieval results. Experiments on two different databases of 3D objects are performed so as to evaluate the proposed method in comparison with those most commonly cited in the literature. The experimental results show that the proposed method is superior in terms of precision versus recall and can be used for 3D model search and retrieval in a highly efficient manner.
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