Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ryohei Masuda"'
Publikováno v:
Bunseki kagaku. 66:403-411
Publikováno v:
Computers and Electronics in Agriculture. 174:105499
Convolutional neural networks (CNNs) are the current state of the art systems in image semantic segmentation (SS). However, because it requires a large computational cost, it is not suitable for running on embedded devices, such as on rice combine ha
Autor:
Mengfei Wang, Seigo Kinuya, Akira Odani, Ryohei Masuda, Kenji Mishiro, Kazuhiro Shiba, Kazuma Ogawa, Takashi Kozaka
Publikováno v:
Bioorganicmedicinal chemistry. 27(10)
Sigma-1 receptor imaging probes for determining the expression levels are desirable for diagnoses of various diseases and companion diagnoses of therapeutic agents targeting the sigma-1 receptor. In this study, we aimed to develop probes with higher
Publikováno v:
2018 Detroit, Michigan July 29 - August 1, 2018.
Autor:
Kazuma Ogawa, Takashi Kozaka, Yoji Kitamura, Yasushi Kiyono, Yoshiaki Mizuno, Akira Makino, Kazuhiro Shiba, Ryohei Masuda, Akira Odani
Publikováno v:
Nuclear medicine and biology. 61
Introduction Sigma-1 receptor is a target for tumor imaging. In a previous study, we synthesized a vesamicol analog, (+)-2-[4-(4-bromophenyl)piperidino]cyclohexanol [(+)-pBrV], with a high affinity for sigma-1 receptor, and synthesized radiobrominate
Autor:
Syota Harada, Yifan Zhang, Ryo Asada, Ryohei Masuda, Michihisa Iida, Masahiko Suguri, Ryosuke Sasaki
Publikováno v:
2017 Spokane, Washington July 16 - July 19, 2017.
Publikováno v:
Engineering in Agriculture, Environment and Food. 7:115-121
This study proposes a method for detection of uncut crop edges using multiple sensors to provide accurate data for the autonomous guidance systems of head-feeding combine harvesters widely used in the paddy fields of Japan for harvesting rice. The pr
Publikováno v:
Engineering in Agriculture, Environment and Food. 7:109-114
In this study, a combine robot was equipped with an autonomous grain container searching function. In order to realize automated grain unloading, the combine robot has to search and identify the grain storage container in an outdoor environment. A pl
Publikováno v:
Engineering in Agriculture, Environment and Food. 7:97-102
This study proposes a vision-based uncut crop edge detection method to be utilized as a part of an automated guidance system for a head-feeding combine harvester, which is widely used in Japan for the harvesting of rice and wheat. The proposed method
Publikováno v:
Agricultural Information Research. 23:12-20