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Software architecture (SA) has been widely advocated as an effective abstraction for modeling, implementing, and evolving complex software systems such as those in distributed, decentralized, heterogeneous and pervasive environments. We intend to investigate two problems related to the domain of those environments: software deployment and reliability. Though many approaches for Architecture-based...
In order to reduce accident and enhance reliability of system, a new safety assessment approach combining with system safety engineering, factor analysis and neural network is proposed for transmission grid system in this paper. The safety assessment objective architecture was established by analyzing a variety of factors affecting transmission grid system safety using system safety principle. Factor...
Software reliability is one of the key quality attributes. To avoid reworks after developing software, mentioned attribute of software must be evaluated correctly. Therefore, estimation and prediction of reliability during system development are very important. In this article a method to predict the failure probability in whole system by the neural networks has been presented. The model of this neural...
This paper describes and discusses a novel approach that uses artificial neural networks (ANN) to extend the measurement range of fiber Bragg gratings (FBGs) interrogators based on fixed narrowband filter demodulation. Interrogators with fixed spectral filters use only one edge of the filter to demodulate the signal. The proposed method uses narrowband FBG's filters, where both edges of the entire...
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