201 research outputs found
Frequency modulation technique for wide-field imaging of magnetic field with nitrogen-vacancy ensembles
We report on the application of a frequency modulation technique to wide-field magnetic field imaging of nitrogen-vacancy centers in diamond at room temperature. We use a scientific CMOS (sCMOS) camera to collect photoluminescence images from a large number of nitrogen-vacancy center ensembles in parallel. This technique allows a significant reduction in the measurement time required to obtain a magnetic field image compared with a scanning probe approach at a comparable magnetic field sensitivity
非鉛強誘電体BFO薄膜の作製・評価と不揮発メモリへの応用
13301甲第4034号博士(工学)金沢大学博士論文本文Full 以下に掲載:Rapid Research Letter. physica status solidi. 8(6) pp.536-539 2014. wiley. 共著者:Yukihiro Nomura, Keisuke Nomura, Koyo Kinoshita, Takeshi Kawae, Akiharu Morimot
Retention properties with high-temperature resistance in (Bi,Pr)(Fe,Mn)O3 thin film capacitor
(Bi0.9Pr0.1)(Fe0.97Mn0.03)O3 (BPFM) thin film was deposited on Pt-coated Si(100) substrate by chemical solution deposition. Remnant polarization and coercive field in the BPFM film capacitor were 113 °C/cm2 and 630 kV/cm at the maximum electric field of 1000 kV/cm, respectively. Switching charge measured by a rectangular pulse measurement was 118 °C/cm2. Almost no polarization losses of BPFM film capacitor were observed even after retention time of 104 s at room temperature. Furthermore, the polarization loss at 450 °C was only 3.7% even after 104 s. These results indicate that BPFM film capacitor is suitable for non-volatile memory applications at high temperature. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
マオウ属植物の種苗生産研究
13301甲第4194号博士(創薬科学)金沢大学博士論文本文Full 以下に掲載:薬用植物研究 35(2) pp.10-15 2013. 薬用植物栽培研究会. 共著者:野村 行宏, 佐々木 陽平, 三宅 克典, 御影 雅
マオウ属植物の種苗生産研究
13301甲第4194号博士(創薬科学)金沢大学博士論文要旨Abstract 以下に掲載:薬用植物研究 35(2) pp.10-15 2013. 薬用植物栽培研究会. 共著者:野村 行宏, 佐々木 陽平, 三宅 克典, 御影 雅
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks
The generation of synthetic medical records using generative adversarial
networks (GANs) has become increasingly important for addressing privacy
concerns and promoting data sharing in the medical field. In this paper, we
propose a novel method for generating synthetic hybrid medical records
consisting of chest X-ray images (CXRs) and structured tabular data (including
anthropometric data and laboratory tests) using an auto-encoding GAN
({\alpha}GAN) and a conditional tabular GAN (CTGAN). Our approach involves
training a {\alpha}GAN model on a large public database (pDB) to reduce the
dimensionality of CXRs. We then applied the trained encoder of the GAN model to
the images in original database (oDB) to obtain the latent vectors. These
latent vectors were combined with tabular data in oDB, and these joint data
were used to train the CTGAN model. We successfully generated diverse synthetic
records of hybrid CXR and tabular data, maintaining correspondence between
them. We evaluated this synthetic database (sDB) through visual assessment,
distribution of interrecord distances, and classification tasks. Our evaluation
results showed that the sDB captured the features of the oDB while maintaining
the correspondence between the images and tabular data. Although our approach
relies on the availability of a large-scale pDB containing a substantial number
of images with the same modality and imaging region as those in the oDB, this
method has the potential for the public release of synthetic datasets without
compromising the secondary use of data.Comment: 14 page
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