Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)co...
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Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)configurable application specific instruction set processors (ASIPs) and hardware accelerators for modern highly-demanding applications. Although it receives a lot of attention from the researchers and practitioners, a very important problem of hardware reuse in ASIP and accelerator synthesis is clearly underestimated and does not get enough attention in the published research. This paper is an effect of an industry and academic collaborative research. It analyses the problem of hardware sharing, shows its high practical relevance, as well as a big influence of hardware sharing on the major circuit and system parameters, and its importance for the multi-objective optimization and tradeoff exploitation. It also demonstrates that the state-of-the-art synthesis tools do not sufficiently address this problem and gives several guidelines related to enhancement of the hardware reuse.
This paper describes a new method for License Plate Detection based on Genetic Neural Networks, Morphology, and Active Contours. Given an image is divided into several virtual regions sized 10×10 pixels, applying...
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In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. This fuzzy descriptor is defined over a set of fuzzy sets modelling the "coarseness" texture property. Con...
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Ontologies are often represented as a graph where nodes represent objects within given ontology and edges represent relations between those objects. Such graphs can be very complex even for medium sized ontologies so ...
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ISBN:
(纸本)9788360779026
Ontologies are often represented as a graph where nodes represent objects within given ontology and edges represent relations between those objects. Such graphs can be very complex even for medium sized ontologies so a clean and complete graphical representation is needed. Existing solutions do not include all elements or produce unreadable results for big ontologies. In this paper a complete set of graphical objects for ontology representation was proposed. Algorithms for graph creation were defined. An implementation of proposed solution is described. Comparison with other solutions is made.
Ontologies are often represented as a graph where nodes represent objects within given ontology and edges represent relations between those objects. Such graphs can be very complex even for medium sized ontologies so ...
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Ontologies are often represented as a graph where nodes represent objects within given ontology and edges represent relations between those objects. Such graphs can be very complex even for medium sized ontologies so a clean and complete graphical representation is needed. Existing solutions do not include all elements or produce unreadable results for big ontologies. In this paper a complete set of graphical objects for ontology representation was proposed. Algorithms for graph creation were defined. An implementation of proposed solution is described. Comparison with other solutions is made.
In this paper we introduce formal definitions of the concepts of fuzzy color and fuzzy color space. We present an approach to the automatic design of customized fuzzy color spaces on the basis of a collection of crisp...
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In this paper we introduce formal definitions of the concepts of fuzzy color and fuzzy color space. We present an approach to the automatic design of customized fuzzy color spaces on the basis of a collection of crisp colors, each crisp color being fully representative of a certain color term. The approach works on any euclidean crisp space and is based on obtaining a Voronoi diagram having the aforementioned representative crisp colors as centroids. The proposal will be illustrated building fuzzy color spaces on RGB colors on the basis of the ISCC-NBS color naming system.
In this paper we introduce a preliminary proposal for linguistic description of images. The approach is based on i) a hierarchical fuzzy segmentation of the image, ii) a collection of linguistic features describing ea...
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In this paper we introduce a preliminary proposal for linguistic description of images. The approach is based on i) a hierarchical fuzzy segmentation of the image, ii) a collection of linguistic features describing each region, and iii) fuzzy spatial relations and locations. The procedure is independent from the way these elements have been obtained, and provides a description with the characteristics of a summary, i.e., a brief and accurate description of the whole image. As another characteristic of summaries, the method can be guided in the description by the user's preferences and interest. Remarkably, we are able to provide a description containing sentences about disjoint regions appearing in different levels of detail.
We study single and multi-wavelength clock recovery functionality based on a fabry-pérot filter followed by a quantum-dot SOA at 40 Gb/s and we demonstrate its performance for various pseudo-random binary sequenc...
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The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced usi...
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ISBN:
(纸本)9781424438914
The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced using psychophysical and bioinspired properties according to biological vision in order to mimic the singularity and the performance of mammalians. Experimental results and the resources used to analyze the associate customizability of the system are discussed.
The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced usi...
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The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced using psychophysical and bioinspired properties according to biological vision in order to mimic the singularity and the performance of mammalians. Experimental results and the resources used to analyze the associate customizability of the system are discussed.
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