Papers - KUDO, Hiroaki
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Neural Network to Determine Appropriate Thermocouple Positions in Crystal Growth Furnace Reviewed
Abderahmane Boucetta, Kentaro Kutsukake, Hiroaki Kudo, Tetsuya Matsumoto, Takuto Kojima, Noritaka Usami
2019 MRS Fall Meeting & Exhibit 2019.12
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Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network Reviewed
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
ICONIP 2019 Proceedings (Australian Journal of Intelligent Information Processing Systems) Vol. 15 ( 2 ) page： 68 - 74 2019.12
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Generation and propagation of dislocation clusters originated from multicrystallization by Σ3n rotation and in quasi-monocrystalline silicon Reviewed International coauthorship
T. Kojima, K. Tajima, T. Matsumoto, H. Kudo, N. Usami, P. Krenckel, and S. Riepe
36th EU PVSEC page： 2CV.2.15 2019.9
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On the Progress in Data Science Approaches for High-Quality Multicrystalline Silicon Ingot for Solar Cells Reviewed
N. Usami, K. Tajima, S. Kamibeppu, A.E. Boucetta, K. Kutsukake, T. Kojima, T. Matsumoto, H. Kudo, Y. Noda, T. Yokoi, Y. Shimizu, Y. Ohno
36th EU PVSEC page： 2AO.5.5 2019.9
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Establishment of Quantitative Evaluation Method of Electrical Characteristics of Defects in Silicon Crystals for Solar Cells by Photoluminescence Imaging Method using Finite Element Method Reviewed
K. Mitamura, K. Kutsukake, H. Kudo, T. Matsumoto, and N. Usami
Japan-Korea PV Joint Student Seminar 2019.2
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High spatial resolution of multicrystalline imaging by subpixel shift Reviewed
K. Takeuchi, K. Kutsukake, H. Kudo, T. Matsumoto, N. Usami
Japan-Korea PV Joint Student Seminar 2019.2
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Multicrystalline Informatics for Silicon Ingot with Ideal Microstructures Invited
Noritaka Usami, Kazuya Tajima, Soichiro Kamibeppu, Yusuke Hayama, Kentaro Kutsukake, Tetsuya Matsumoto, Hiroaki Kudo
2018 Materials Research Society Fall Meeting & Exhibit page： ET02.06.01 2018.11
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3D visualization and numerical information extraction of crystal defects in multicrystalline silicon ingot by processing PL images Reviewed
Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usa
The Forum on the Science and Technology of Silicon Materials 2018 page： PB03 2018.11
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Development of detection method of dislocation clusters from photoluminescence images by data science approach
Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami
The 7th Korea-Japan Joint Seminar on PV page： P16 2018.11
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Estimation of dislocation regions in photoluminescence image using weighted multi wafers of multicrystalline silicon by non-negative matrix factorization Reviewed
Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
Proceeding of the Ninth International Workshop on Image Media Quality and its Applications page： 57-61 2018.9
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Detection of incongruity between binocular retinal images for yellow-blue equiluminance random dots when viewing the rim of a column Reviewed
Shinya Mochiduki, Ayaka Nunomura, Hiroaki Kudo, and Mitsuho Yamada
Proceeding of the Ninth International Workshop on Image Media Quality and its Applications page： 92-100 2018.9
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Multicrystalline Informatics to Realize Ideal Crystalline Silicon for Solar Cells Reviewed
N. Usami, Y. Hayama, T. Muramatsu, K. Tajima, S. Kamibeppu, K. Kutsukake, T. Matsumoto, H. Kudo
35th EU PVSEC page： 2BO.1.4 2018.9
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Communication Support System of Smart Glasses for the Hearing Impaired Reviewed
Daiki Watanabe, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi
Computers Helping People with Special Needs. ICCHP 2018. Lecture Notes in Computer Science Vol. 10896 page： 225-232 2018.6
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Estimation of dislocation regions in photoluminescence image using wafers of multicrystalline silicon by non-negative matrix factorization Reviewed
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book) page： 43 2018.4
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Application of weighted Voronoi diagrams to analysis on nucleation sites of multicrystalline silicon ingots Reviewed
T. Muramatsu, S. Kamibeppu, K. Tajima, Y. Hayama, K. Kutsukake, K. Maeda, T. Matsumoto, H. Kudo, K. Fujiwara, N. Usami
The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book) page： 26 2018.4
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Evaluation on detection of dislocation clusters in the photoluminescence image by approach of data science Invited Reviewed
K. Tajima, Y. Hayama, T. Muramatsu, K. Kutsukake, T. Matsumoto, H. Kudo , N. Usami
The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book) page： 41 2018.4
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Grain classification of crystal orientation Reviewed
S. Kamibeppu, T. Muramatsu, Y. Hayama, T. Matsumoto, K. Kutsukake, H. Kudo, N. Usami
The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book) page： 42 2018.4
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3D visualization and analysis of defects distribution in multicrystalline silicon ingot Reviewed
Y. Hayama, K. Tajima, S. Kamibeppu, T. Matsuomoto, T. Muramatsu, K. Kutsukake, H. Kudo, N. Usami
The 10th International workshop on Crystalline Silicon for Solar Cells (CSSC-10)(Abstract Book) page： 14 2018.4
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3D Visualization and Analysis of Dislocation Clusters in Multicrystalline Si Ingot by Approach of Data Science Reviewed
Y. Hayama,T. Matsumoto, T. Muramatsu, K. Kutsukake, H. Kudo, N. Usami
SiliconPV 2018 2018.3
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Tracking and visualization of dislocation generation in multicrystalline silicon by photoluminescence image processing Reviewed
Y. Hayama, T. Matsumoto, K. Kutsukake, I. Takahashi, H. Kudo, and N. Usami
PVSEC-27 page： 1TuO1.4 2017.11