Tellurium dioxide (TeO2) nanowires with a tetragonal structure have been grown by thermally evaporating tellurium metal at 400°C in air. The nanowires produced have diameters ranging from 30to200nm and have lengths of several tens of micrometers. Gas sensors were fabricated using the obtained TeO2 nanowires. The sensing behavior to NO2, NH3, and H2S gases at room temperature showed typical characteristics of a p-type semiconductor. The results demonstrate the potential to develop TeO2 nanowire based gas sensors with low power consumption.
This paper describes a statistical approach for modeling and synthesizing human walking motion. In the approach, each motion primitive is modeled statistically from motion capture data using multiple regression hidden semiMarkov model (HSMM). HSMM is an extension of hidden Markov model (HMM), in which each state has an explicit state duration probability distribution, and multiple regression HSMM is the one whose mean parameter of probability distribution function is assumed to be given by a function of factors which affects human motion. In this paper, we introduce a training algorithm for the multiple regression HSMM, called factor adaptive training based on the EM algorithm and also describe a parameter generation algorithm from motion primitive HSMMs with prescribed values of factors. From experimental results, we show that the proposed technique can control walking movements in accordance with a change of the factors such as walking pace and stride length and can provide realistic human motion.
We have systematically studied the behaviour of the absorption bands due to the O - H bond-stretching vibration and its polarization characteristics in with the use of well characterized crystals. It has been found that the O - H bond-stretching vibrational frequencies, , have a strong correlation with Nb concentration in the crystals as in the case of MgO-doped . The values of shift to the higher-frequency region when the Sc concentration in the crystal exceeds about 2.5 mol%. The magnitude of the frequency shift is smaller and the polarization dependence of the absorption bands due to is weaker in -doped than in MgO-doped . These features are attributed to the difference of the charge between and . We have also proposed an ideal defect structure model for -doped , which is based on the Li-site vacancy model as an intrinsic defect structure model. The observed behaviour of is consistently explained by the proposed defect structure model. This supports the justification of the extrinsic defect structure model based on the Li-site vacancy model for -doped as well as for MgO-doped .
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