SUMMARYA method of applying wavelet transform to earthquake motion analysis is developed from the viewpoint of energy input structures, in which relationships between wavelet coefficients and energy input, namely energy principles in wavelet analysis are derived. By using the principles, time-frequency characteristics of the 1995 Hyogoken-Nanbu earthquake ground motions are analysed and time histories of energy input for various ranges of frequencies and epicentral distances are identified. Furthermore, a technique to simulate earthquake ground accelerations by wavelet inverse transform is developed on the condition that target time-frequency characteristics are specified. Structural responses to the simulated accelerations are compared with the target time-frequency characteristics, which shows satisfactory correlations between wavelet coefficients and energy responses in both time and frequency domains.
The spatial distribution of people in a building could provide valuable information for an effective guidance in emergency. This paper aims to develop a method to estimate the number of walking people in staircases using infrared human detection sensors. First, we constructed a walking behavior model and a sensor response model using the survey data observed in an emergency drill. Next, using these two models, we generated a large volume training data on human flows and corresponding sensor responses for a neural network model.Finally, we demonstrated the validation of the model through the comparison with the survey data.
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