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Humans are very capable of solving many scientific and engineering problems, but during the solution process they have a tendency to make mistakes. For example, humans without computer aided tools, would not be able to design VLSI chips larger than 100 transistors. This imperfection of humans make them very unreliable elements in resilient control systems. There is a tendency of replacing humans with...
Virtual Organizations (VO) are playing a major part in our daily communication. Many social online/offline networks are in use by humans all around the globe. The Computational Intelligence (CI) society is striving to build an online community to share resources, such as data, algorithms, human expertise, procedures and methods. Existing VOs are often fixed to a specific domain and so forth hard to...
This study develops and implements a SoC-based HW/SW (Hardware-Software) codesign for an intelligent diagnostic system. To improve the efficiency of the VLSI (Very Large Scale Integration) design process, the components of the intelligent diagnostic system are designed in the form of SIP (Silicon Intellectual Property) modules. The SIP modules, including the CPU module, the GPIO (General Purpose I/O)...
Due to the dynamic and anonymous nature of open environments, it is critically important for agents to identify trustful cooperators which work consistently as they claim. In the e-services and e-commerce communities, trust and reputation systems are applied broadly as one kind of decision support systems, and aim to cope with the consistency problems caused by uncertain trust relationships. However,...
A new hybrid technique using support vector machines (SVM) and artificial neural networks (ANN) to forecast the next dasia24psila hours load is proposed in this paper. The forecasted load for the next dasia24psila hours is obtained by using four modules consisting of the basic SVM, Peak and Valley ANN, averager and forecaster and adaptive combiner. These modules try to extract the various components...
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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