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Evaluation of taste solutions by sensor fusion

机译:传感器融合评估味道溶液

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In our previous studies, properties of taste solutions were discriminated based on sound velocity and amplitude of ultrasonic waves propagating through the solutions. However, to make this method applicable to beverages which contain many taste substances, further studies are required. In this study, the waveform of an ultrasonic wave with frequency of approximately 5 MHz propagating through a solution was measured and subjected to frequency analysis. Further, taste sensors require various techniques of sensor fusion to effectively obtain chemical and physical parameter of taste solutions. A sensor fusion method of ultrasonic wave sensor and various sensors, such as the surface plasmon resonance (SPR) sensor, to estimate tastes were proposed and examined in this report. As a result, differences among pure water and two basic taste solutions were clearly observed as differences in their properties. Furt hermore, a self-organizing neural network was applied to obtained data which were used to clarify the differences among solutions.
机译:在我们之前的研究中,基于通过解决方案传播的超声波的声速和幅度来区分味道溶液的性质。然而,为了使这种方法适用于含有许多味道物质的饮料,需要进一步研究。在该研究中,测量并经受频率分析的频率分析的频率约为5MHz的超声波的波形。此外,味道传感器需要各种传感器融合技术,以有效地获得味道溶液的化学和物理参数。提出并在本报告中提出了超声波传感器和各种传感器的传感器融合方法,例如表面等离子体共振(SPR)传感器来估计品味。结果,清楚地观察到纯水和两个基本味道溶液的差异作为其性质的差异。 Furt Hermore,将自组织神经网络应用于获得的数据,用于阐明解决方案之间的差异。

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