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Determination of vehicle comfort is important because continuous exposure to the noise and vibration leads to health problems for the driver and passengers. In this paper, a vehicle comfort level classification system has been proposed to detect the comfort level in cars using artificial neural network. The database of sound samples from 30 local cars is used. In the stationary condition, the sound...
A novel method of acoustic stealth situation assessment of underwater vehicle based on FSVM (fuzzy support vector machine) has been proposed in this paper. Two important models, one is for radiated noise of underwater vehicle rapid calculation and the other is for acoustic stealth situation assessment based on FSVM, have been introduced. The use of sound energy of each 1/3Oct frequency band as features...
In many mobile robot application, navigation is a critical issues. This paper deals with the localization and building problem in an unknown indoor environment. We propose an exploration based on the use of the sensorial data provided by one CCD camera and odometer system. In this paper, the first part of our study is linked to the problem of Vehicle Model and the algorithm model. The second part...
The characterization of traffic effects on a short span railway bridge in Northern Portugal with a new hybrid platform that allows the simultaneous assessment of signals generated by a sensing network composed of both electrical and fiber Bragg grating-based sensors was demonstrated. A commercial fiber-optic-based train characterization system using a bridge weight-in-motion algorithm was also developed...
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