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Ayako Inagaki(Ayako Inagaki ) Asian Qualitative Inquiry Association 2023 아시아질적탐구 Vol.2 No.1
The persistence of a status gap between men and women in Japan, on the other hand there is growing skepticism about gender inequality. This discrepancy between the reality and beliefs about gender roles and disparities sug-gests that Japan is undergoing a transitional phase in terms of the division of labor according to gender. Moreover, Japanese couples are less likely to listen to or confide in their spouses regarding their problems than those of couples from other East Asian countries. The present study examined Japanese marital communication, division of labor in the context of traditional gender roles, and the need for their support. The study involved sequential analysis of a single couple therapy session. Co-constructed narratives and sociocultural discourses were examined in the structured session, in which attachment needs were discussed between spouses, particularly those arising during crises. The results revealed that feelings of “Amae” and refraining from expressing one’s own needs ac-counted for the challenges in communication. It is important to engage in dialogue that focuses on the needs and efforts of the couple, as well as to create an environment conducive to the discussion of work-related issues, household chores, and childcare. Meeting the couple’s proximity needs and improving family management may promote equitable division of labor based on new gender roles.
Inagaki, Junichi,Hayashi, Yasuhiro The Korean Institute of Electrical Engineers 2012 The Journal of International Council on Electrical Vol.2 No.2
In this paper, we describe how harmonic voltage in transmission networks influences harmonic currents in distribution networks. In the conventional equivalent circuit for harmonic analysis based on computer simulations, harmonic currents in distribution networks were regarded as a constant harmonic current source. However, results of experiments using distribution system equipment indicate that the harmonic currents vary if individual harmonic distortion (IHD) of the sending voltage in transmission networks or phase angle difference between the fundamental voltage and the harmonic voltage in transmission networks varies. To analyze the results, this paper proposes a new circuit model of the harmonic currents in distribution networks. Computer simulations using EMTP were also carried out and the results were compared with results of experiments for the verification of the proposed circuit.
Exfoliated Graphite for Spilled Heavy Oil Recovery
Inagaki, Michio,Toyoda, Masahiro,Iwashita, Norio,Nishi, Yoko,Konno, Hidetaka Korean Carbon Society 2001 Carbon Letters Vol.2 No.1
Exfoliated graphite was found to sorb selectively a large amount of heavy oil, about 80 g of heavy oil floating on water per 1 g of exfoliated graphite, which is highly possible to be applied to recovering spilled heavy oil. Sorption capacity, selectivity and kinetics of exfoliated graphite were reviewed. The possibility of recovery of heavy oil from exfoliated graphite and recycling of both recovered heavy oil and exfoliated graphite was also discussed. Its sorption performance was compared with other materials which were reported to show sorption of heavy oil.
Deep Learning Approach for Visible and NIR Imaging for Wood Classification
( Tetsuya Inagaki ),( Te Ma ),( Satoru Tsuchikawa ) 한국목재공학회 2021 한국목재공학회 학술발표논문집 Vol.2021 No.1
From the viewpoint of combating illegal logging and examining wood properties, there is a contemporary demand for a wood species identification system. Several nondestructive automatic identification systems have been developed, but there is room for improvement to construct a highly reliable model. We tried to identify the Japanese hardwood species from the microscopic image from database of Forestry and Forest Products Research Institute, Japan, with aid of deep learning. We also propose cognitive spectroscopy that combines near infrared hyperspectral imaging (NIR-HSI) with a deep convolutional neural network approach. We defined “cognitive spectroscopy” as a protocol that extracts features from complex spectroscopic data and presents the best results without human intervention. Overall, 120 samples representing 38 hardwood species were scanned using an NIR-HSI camera. A deep learning prediction model was built based on the principal component (PC) images obtained from the PC scores of hyperspectral images. The results showed that the accuracy of wood species identification based on 6PC (PC1-PC6) images was 90.5%, which was considerably higher than the accuracy of 56.0% obtained with conventional visible images.
Reactively Sputtered MgAl2O4 Barrier Layers for Heusler Tunnel Junctions
K. Inagaki,N. Fukatani,K. Mari,H. Fujita,T. Miyawaki,K. Ueda,H. Asano 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.63 No.3
Epitaxial MgAl2O4 thin films were deposited on a lattice-matched Heusler alloy, Fe2CrSi,by reactive magnetron sputtering of an MgAl2 target in an Ar+O2 atmosphere. EpitaxialFe2CrSi/MgAl2O4 junctions were obtained by inserting an ultrathin MgAl2 interlayer, which workedas a protective layer for oxidization at the surface of the Fe2CrSi. The growth of MgAl2O4 was foundto be very sensitive to the MgAl2 thickness and the oxygen partial pressure during the deposition ofMgAl2O4. Both epitaxial growth and characteristics of the efficient tunneling barrier were obtainedin an Fe2CrSi/MgAl2O4 (3 nm)/CoFe tunneling device for MgAl2O4 thin films grown by reactivesputtering. The present epitaxial MgAl2O4 barrier deposited by reactive sputtering is expected torealize high performance spintronic devices.