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Mild cognitive impairment (MCI) is a transition stage between normal aging and dementia. Brain network has been proven to occupy an important role in the study of differences in Alzheimer's disease (AD) and MCI. However, there is little knowledge about individual metabolic network abnormities which might be sensitive features in the prediction of MCI progression. In this paper, we constructed the...
This paper reports a micromachined accelerometer using a three degree-of-freedom (3-DoF) weakly coupled resonator (WCR) based on the phenomenon of mode localization. When acceleration acts on the proof masses, the stiffness imbalance between the two outer resonators will incur the mode localization and cause the shift of amplitude ratio. The measured amplitude ratio sensitivity of 7,263,30 ppm/g is...
Frequency-modulated MEMS resonant sensors have been widely used in a variety of sensing applications. This recently emerging sensing mechanism, based on the mode localization of weakly coupled resonators, provides improved sensitivity of more than two orders of magnitude by selecting eigenstate or amplitude ratio as the output metric. However, the loci veering property of the new readout limits the...
A volatile organic compounds (VOCs) sensor based on intrinsic Fabry-Perot interferometer (IFPI) coated with polypyrrole thin film was proposed and experimentally demonstrated. The IFPI consists a section of hollow-core fiber (HCF) sandwiched between two single mode fiber. The polypyrrole is formed chemically via interfacial polymerization technique and coated directly onto the fiber. As the isopropanol...
A novel Mach-Zehnder interferometer (MZl) based on a pair of long period fiber gratings (LPGs) in an embedded-core hollow optical fiber (ECOF) are proposed and demonstrated experimentally. Two similar LPGs with peak attenuation of approximately 3dB are fabricated in an ECOF by using high-frequency CO2 laser to form an in-fiber MZI. The dependences of the resonant peak on the temperature and the axial...
This paper experimentally demonstrates the ambient pressure drift rejection capability in the full measurement range of the mode-localized sensors. Based on a mode-localized resonant stiffness sensor, the experimental results show that the maximum measurement error of the amplitude ratio readout is ∼2.74% whereas that of the frequency readout is ∼21.63% with a pressure range of [2.6, 20] Pa. And the...
We proposed a novel micro strip sensor based on Dual-D shaped Complementary Split Resonator (Dual-D CSR) in the microwave region. In this research,the distribution of the electric field and transmission response (S21) have been simulated. Besides, we also investigated the effect of the width between Dual-D on resonance characteristics. Furthermore, the process and the performance is illustrated when...
This paper presents a model for location anonymous area estimation, which establishes the related Bayesian inference network by making full use of the time-varying characteristic of person traffic or vehicle traffic, thus implementing the dynamical estimation method of minimum anonymous area. Integrating the real data, the method makes the prediction, therefore it is more accurate. The model in this...
This paper researches on the sensitivity of spiking neuron synapse caused by the input perturbation. Due to the discontinuous character of the response function in real number space the discussion of the sensitivity is divided into two parts according to the different value of the neuron running time. One part is deriving a computational formula for the sensitivity which is defined as a mathematical...
The sensitivity of a neural networkpsilas output to its input perturbation is an important measure for evaluating the networkpsilas performance. In this paper we propose a novel method to quantify the sensitivity of a two-layer perceptron network (TLPN). The sensitivity is defined as the mathematical expectation of absolute output deviations due to input perturbations with respect to all possible...
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