84 research outputs found

    Software evolution through UML-models extraction

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    Machine Vision based Micro-crack Inspection in Thin-film Solar Cell Panel

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    Thin film solar cell consists of various layers so the surface of solar cell shows heterogeneous textures. Because of this property the visual inspection of micro-crack is very difficult. In this paper, we propose the machine vision-based micro-crack detection scheme for thin film solar cell panel. In the proposed method, the crack edge detection is based on the application of diagonal-kernel and cross-kernel in parallel. Experimental results show that the proposed method has better performance of micro-crack detection than conventional anisotropic model based methods on a cross- kernel

    Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition

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    In pattern recognition, feature extraction techniques have been widely employed to reduce the dimensionality of high-dimensional data. In this paper, we propose a novel feature extraction algorithm called membership-degree preserving discriminant analysis (MPDA) based on the fisher criterion and fuzzy set theory for face recognition. In the proposed algorithm, the membership degree of each sample to particular classes is firstly calculated by the fuzzy k-nearest neighbor (FKNN) algorithm to characterize the similarity between each sample and class centers, and then the membership degree is incorporated into the definition of the between-class scatter and the within-class scatter. The feature extraction criterion via maximizing the ratio of the between-class scatter to the within-class scatter is applied. Experimental results on the ORL, Yale, and FERET face databases demonstrate the effectiveness of the proposed algorithm

    Reliable Peer-to-peer End System Multicasting through Replication

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    A key challenge in peer-to-peer computing system is to provide decentralized and yet reliable service on top of a network of loosely coupled, weakly connected and possibly unreliable peers. This paper presents an effective dynamic passive replication scheme designed to provide reliable multicast service in PeerCast, an efficient and self-configurable peer-to-peer End System Multicast (ESM) system. We first describe the design of a distributed replication scheme, which enables reliable subscription and multicast dissemination of information in an environment of inherently unreliable peers. Then we present an analytical model to discuss its fault tolerance properties, and report a set of initial experiments, showing the feasibility and the effectiveness of the proposed approach
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