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Latent Image Sample Processing Using Machining Center
Toru Yamamoto,Rie Kunimune 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.7
We have proposed latent image processing using a machining center, and have been conducting research in our laboratory for several years. Consequently, at present, the processing method is almost established, and it has become possible to process samples that are reasonably satisfactory in terms of cost and processing quality. However, currently, the evaluation method of latent image processing quality relies on visual inspection. Moreover, from the beginning, we believed that latent image processing could be used to make souvenirs and during experimental training at educational institutions, such as our institute, but until now, we had not specifically considered how to use it. Therefore, in this paper, we first introduce the three types of latent image processing that have been performed thus far, and summarize their characteristics. Subsequently, the evaluation method of the latent image processing quality and the utilization method are newly examined and the result of the confirmation is reported.
Visualization of multi-dimensional living body information based on wavelet transformation analysis
Toru Yamamoto,Kensuke Hayashi,Seiichi Shin 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes a new visualizing method for analyzing a pulse caused by a heart beat signal from a car seat. The pulse signal is measured by piezoelectric sensors in the seat, in order to analyze characteristic frequency of the pulse with wavelet transform. It is needed a method for visualization of these signals based on the wavelet transform although there are 18 channels with different delays and measured signals are contaminated by noise. An experiment result shows effectiveness of the proposing method.
An attempt at soil profiling on a river embankment using geophysical data
Takahashi, Toru,Yamamoto, Tsuyoshi Korean Society of Earth and Exploration Geophysici 2010 지구물리와 물리탐사 Vol.13 No.1
The internal structure of a river embankment must be delineated as part of investigations to evaluate its safety. Geophysical methods can be most effective means for that purpose, if they are used together with geotechnical methods such as the cone penetration test (CPT) and drilling. Since the dyke body and subsoil in general consist of material with a wide range of grain size, the properties and stratification of the soil must be accurately estimated to predict the mechanical stability and water infiltration in the river embankment. The strength and water content of the levee soil are also parameters required for such prediction. These parameters are usually estimated from CPT data, drilled core samples and laboratory tests. In this study we attempt to utilise geophysical data to estimate these parameters more effectively for very long river embankments. S-wave velocity and resistivity of the levee soils obtained with geophysical surveys are used to classify the soils. The classification is based on a physical soil model, called the unconsolidated sand model. Using this model, a soil profile along the river embankment is constructed from S-wave velocity and resistivity profiles. The soil profile thus obtained has been verified by geotechnical logs, which proves its usefulness for investigation of a river embankment.
Design of a Performance-driven One-parameter Tuning Controller
Shin Wakitani,Toru Yamamoto,Takao Sato 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.6
The properties of most real systems vary every moment. For such systems, performance-adaptive control systems, which assess current control performance and tune their controller based on the assessment, are effective. This paper proposes a one-parameter tuning method as one of design methods of the performance-adaptive control systems. When the current control performance is diagnosed as being poor, the conventional performance-adaptive control systems redesign their controllers using the results of system re-identification. However, the system has a risk that the redesigned controller may cause further deterioration of the control performance depending on the identification accuracy of the estimated parameters. In the proposed method, the controller has a unique userspecified adjustable parameter. The controller can improve the control performance by adjusting only the parameter. However, only if the desired control performance cannot be maintained by adjusting the parameter because of drastic changes in the controlled object, the control system redesigns the controller using the estimated system parameters. Thanks to this strategy, the number of controller redesigns using the estimated system parameters is decreased when compared to the conventional performance-adaptive control system. It can also reduce the risk of further deterioration of the control performance because of the controller redesign. The effectiveness of the proposed method is evaluated by simulations and application to a weigh feeder that is one of food process systems.