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Journal of Mechanical and Electrical Intelligent System (JMEIS, J. Mech. Elect. Intel. Syst.) An international open-access peer-reviewed journal ISSN 2433-8273
Vol.4, No.1
TABLE OF CONTENTS
Articles
An engineering approach for fighting COVID-19 Pseudo herd immunity through the complete spread of the helmet-type masks Yusaku Fujii, Akihiro Takita, Seiji Hashimoto Journal of Mechanical and Electrical Intelligent System, Vol.4, No.1, pp.1-5, 2021. Abstract: A simple engineering way of fighting COVID-19 is proposed. First, the possibility of mass production of an inexpensive helmet-type mask, whose shielding rate against virus invasion is almost 100%, is shown. Second, the possibility of obtaining a pseudo herd immunity by means of the numerical control of the wearing ratio of the helmet-type masks is shown.
A New Real-time Power Stabilization Method for WPT System Hideo Kikuchi, Ayana Nakajima, Kazuhiro Motegi, Yoichi Shiraishi Journal of Mechanical and Electrical Intelligent System, Vol.4, No.1, pp.6-25, 2021. Abstract: This paper proposes a new wireless power transfer system that stabilizes the power supply to the load of a mobile object whose position is not stable. This wireless power transfer system works by matching the frequencies of the AC power supply, the source coil resonator, the sending coil resonator, and the receiving coil resonator. In this system, all circuit impedances are always matched. The position of the source coil is moved to the optimum position so that the current from the power source remains constant. Then, the coupling coefficient between the source and sending coils is changed according to the coupling coefficient between the sending and receiving coils, and the power supply to the load circuit is stabilized.
Nonlinear stiffness identification based on AR time series analysis using transient free oscillation Soichiro Takata, Mikane Habashi, Susumu Tarao Journal of Mechanical and Electrical Intelligent System, Vol.4, No.1, pp.26-35, 2021. Abstract: The authors proposed an identification method of a nonlinear spring coefficient using Auto-Regressive time series analysis and a method of Krilov-Bogoliubov-Metropolsky (KBM method) in a previous paper. Especially, the conventional works had independently deal with a case of second order nonlinearity and a case of third order nonlinearity. However, there is a problem that the conventional work does not consider the case of simultaneous occur the second and the third order nonlinearity. In this paper, the system identification method in an asymmetric nonlinear system included second-order and third-order nonlinearity is investigated. At first, the formulation of the identification problem is conducted. The identification problem is described using the KBM method. The regression problem is formulated using the difference between instantaneous natural angular frequency and linear natural angular frequency. Furthermore, the identification experiment is conducted using the numerical investigation based on the 4th Runge-Kutta method. As a result, the estimation values of our proposed method are good agreement with the true values. Moreover, the experimental identification is conduced using the cantilever system which is simultaneous subjected the magnetic force and the geometric nonlinear spring force. The estimated relationship between restoring force and displacement is good agreement with the statically measured results.
Nanofabrication for Quantum Dot Solar Cell with High Conversion Efficiency You Yin Journal of Mechanical and Electrical Intelligent System, Vol.4, No.1, pp.36-41, 2021. Abstract: Quantum dot solar cells attract much attention worldwide because of their potential of high power conversion efficiency. Uniform size and highly ordered array of quantum dots are of great importance for the improvement of their power conversion efficiency. In this work, a fabrication technology of uniform and ordered quantum dots based on electron beam lithography and reactive etching was proposed. The influence of the thickness of the tunneling layer on the characteristics was investigated using the fabricated multilayer n-i-p Si simple solar cells. The uniform and ordered Si dots were successfully fabricated using the 2-step etching method. It was exhibited that this nanofabrication technology to obtain high-quality quantum dots could be very useful and possible to greatly improve the power conversion efficiency of quantum dot solar cells.
Non-Invasive Diabetes Prediction Method Based on Metabolic Heat Conformation Theory and Machine Learning Ryo Takeuchi, Kazuhiko Nagao, Hiroyuki Miyamoto Journal of Mechanical and Electrical Intelligent System, Vol.4, No.1, pp.42-49, 2021. Abstract: Existing blood glucose meters use needles, which causes problems such as pain and infection. To solve these problems, it is necessary to realize a non-invasive blood glucose meter. One of the non-invasive blood glucose meters is the Metabolic Heat Conformation (MHC) theory. However, this theory is based on body temperature, and the prediction accuracy of conventional methods is not very high. In this study, we propose a method for determining the presence or absence of diabetes using machine learning and MHC theory. The proposed method uses machine learning to classify the presence or absence of diabetes based on skin and ambient temperature. In our experiments, we evaluated whether the proposed method can classify actual diabetics from healthy people. As a result, we were able to classify diabetic and non-diabetic data with about 80% accuracy. These results can be used for the early detection of diabetes in daily life.
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