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Yutaka Shinoda
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1-
Published: 2025
Released on J-STAGE: October 01, 2025
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Tamiko Ohshima
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2-
Published: 2025
Released on J-STAGE: October 01, 2025
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Runa Izumiya, Akihiro Enta, Jiale Xu, Michiaki Shishido
Pages
3-4
Published: 2025
Released on J-STAGE: October 01, 2025
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Genji Hotta, Yoshiomi Munesawa, Sou Kiriyama, Youhei Ishikawa, Tkayuki ...
Pages
5-6
Published: 2025
Released on J-STAGE: October 01, 2025
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Shota Nakamura, Atsuki Nishihara, Ryo Hiroshige, Mikio Ouchi, Tanjina ...
Pages
7-8
Published: 2025
Released on J-STAGE: October 01, 2025
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Tatsuya Shirai, Sota Mori, Ryunosuke Suzuki
Pages
9-10
Published: 2025
Released on J-STAGE: October 01, 2025
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Towa Takei, Shinoda Yutaka, Nobuharu Kajiyama
Pages
11-12
Published: 2025
Released on J-STAGE: October 01, 2025
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Mullite (Al₄+2xSi₂-2xO₁₀-x) is a ceramic material with excellent heat resistance and mechanical properties, but its performance can be further enhanced by controlling its crystal orientation. In this study, we focus on the electric field during spark plasma sintering (SPS). Mullite powder (Al₂O₃:SiO₂ = 2:1) was sintered under two conditions: 1400°C (vacuum, 50 MPa) and 1850°C (N₂, 1 MPa, held for 5 min.) X-ray diffraction (XRD) results show that the (001) peak intensity is significantly increased for samples exposed to electric fields, suggesting that dipole The dipole interaction and the local electric field promoted the crystal orientation. These results emphasize the possibility of electric field-assisted orientation of mullite, and future research will focus on optimizing sintering conditions that promote orientation and suppress secondary phases.
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Hikaru Shirai, Yusaku Sawaki, Yoichi Kageyama
Pages
13-14
Published: 2025
Released on J-STAGE: October 01, 2025
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Ryota Kikuchi, Hikaru Shirai, Chikako Ishizawa, Kenji Suehiro, Nobuaki ...
Pages
15-16
Published: 2025
Released on J-STAGE: October 01, 2025
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Akane Yamashita, Yoichi Kageyama, Hiroshi Yokoyama
Pages
17-18
Published: 2025
Released on J-STAGE: October 01, 2025
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Kenta Suzuki, Yudai Ito, Shinichi Ito, Ken Watanabe, Yoichi Kageyama
Pages
19-20
Published: 2025
Released on J-STAGE: October 01, 2025
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Koya Watanabe, Chikako Ishizawa, Yudai Ito, Yoichi Kageyama
Pages
21-22
Published: 2025
Released on J-STAGE: October 01, 2025
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Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa
Pages
23-24
Published: 2025
Released on J-STAGE: October 01, 2025
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Momoko Kato, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa
Pages
25-26
Published: 2025
Released on J-STAGE: October 01, 2025
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Takumi Tojo, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikaw ...
Pages
27-28
Published: 2025
Released on J-STAGE: October 01, 2025
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Kazuma Okita, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa
Pages
29-30
Published: 2025
Released on J-STAGE: October 01, 2025
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Naoto Katakai, Takumi Tojo, Shu Takemoto, Yusuke Nozaki, Masaya Yoshik ...
Pages
31-32
Published: 2025
Released on J-STAGE: October 01, 2025
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Rinsho Matoba, Masaki Fujikawa
Pages
33-34
Published: 2025
Released on J-STAGE: October 01, 2025
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The authors have proposed a child monitoring system capable of estimating four risk conditions during a child’s outing—lingering in dangerous locations, deviating from designated school zones, abduction by vehicle, and immobility in arbitrary places—and notifying the guardian’s device of such conditions. The novelty of the proposed system lies in its foundation on the Crime Opportunity Theory and its ability to quantify the degree of danger at any given location. This enables more flexible condition assessment compared to conventional system. In an experiment conducted using a prototype within an actual school district, the simulated child device successfully inferred all four risk conditions and transmitted the corresponding notifications to the simulated guardian device.
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Rintarou Moriyama, Seiichi Serikawa, Yusuke Nakashima, Saburo Tokita, ...
Pages
35-36
Published: 2025
Released on J-STAGE: October 01, 2025
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Yusuke Nakashima, Seiichi Serikawa, Rintaro Moriyama, Saburo Tokita, A ...
Pages
37-38
Published: 2025
Released on J-STAGE: October 01, 2025
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Airi Taniguchi, Serikawa Seichi, Yuhki Kitazono, Momoka Shiraishi, Sab ...
Pages
39-40
Published: 2025
Released on J-STAGE: October 01, 2025
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Guang Sheng Shao, Fusaomi Nagata, Keigo Watanabe, Maki K. Habib
Pages
41-42
Published: 2025
Released on J-STAGE: October 01, 2025
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Kazuhiro Koshi, Keisuke Nakamura
Pages
43-44
Published: 2025
Released on J-STAGE: October 01, 2025
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Kiyoteru Hayama, Hiroki Irie, Yoshiaki Okazaki, Akinori Ozaki
Pages
45-46
Published: 2025
Released on J-STAGE: October 01, 2025
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We developed and prototyped an autonomous underwater vehicle (AUV) designed to stir and aerate residual matter on the seafloor in benthic aquaculture operations. A receiver was mounted on a surface float, enabling remote control via an R/C system. Field tests confirmed that the float successfully tracked the AUV’s movements, allowing stable and flexible navigation at a constant depth.
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Akinori Ozaki, Hiroki Irie, Kiyoteru Hayama, Yoshiaki Okazaki, Takashi ...
Pages
47-48
Published: 2025
Released on J-STAGE: October 01, 2025
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This study presents a practical approach for monitoring pond bottom conditions in kuruma shrimp (Marsupenaeus japonicus) aquaculture by combining an autonomous boat, an underwater camera, and deep learning-based image classification. Underwater videos were collected during autonomous navigation in a shrimp pond located in Amakusa, Japan. From the videos, 128×128 pixel image patches were manually extracted and labeled into four categories based on visual features: (1) gravel, (2) residual feed pellets, (3) white fungal-like matter, and (4) sludge-like sediment. A convolutional neural network (CNN) was developed and trained using these labeled patches. The trained model was then applied to classify pond bottom conditions by segmenting video frames into non-overlapping 128×128 patches and assigning class labels to each. The resulting spatial distribution maps revealed that residual feed tended to accumulate in low-flow regions, while sludge-like sediment was often found behind aerators. These spatial patterns indicated localized organic matter accumulation and environmental degradation, providing useful information for pond management. The proposed approach offers a low-cost and efficient tool for visualizing bottom conditions and supporting decision-making in aquaculture operations.
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Hirohisa Kato, Fusaomi Nagata
Pages
49-50
Published: 2025
Released on J-STAGE: October 01, 2025
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Nana Miyako, Chikako Ishizawa, Yoichi Kageyama
Pages
51-52
Published: 2025
Released on J-STAGE: October 01, 2025
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Ryo Oishi, Hikaru Shirai, Yoichi Kageyama, Shigeru Kawamura, Kazune Sa ...
Pages
53-54
Published: 2025
Released on J-STAGE: October 01, 2025
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Yudai Ito, Chikako Ishizawa, Yoichi Kageyama
Pages
55-56
Published: 2025
Released on J-STAGE: October 01, 2025
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Shoya Konno, Yoichi Kageyama, Yuji Ueda, Tsuyoshi Sugawara, Hideyo Osa ...
Pages
57-58
Published: 2025
Released on J-STAGE: October 01, 2025
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Hechen Yun, Sho Suzuki, Yoichi Kageyama, Chikako Ishizawa, Nobuhiko Ka ...
Pages
59-60
Published: 2025
Released on J-STAGE: October 01, 2025
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Kouei Ajito, Satoshi Takahashi
Pages
61-62
Published: 2025
Released on J-STAGE: October 01, 2025
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Koki Hayashi, Keisuke Ichida
Pages
63-64
Published: 2025
Released on J-STAGE: October 01, 2025
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Underactuated manipulators are defined by having some passive joints. Usually, general manipulators have more than an actuator in joint. Therefore, underactuated manipulators need to use more complex control than general manipulators. However, reducing the number of actuators brings some advantages such as light weighting, energy saving and cost reduction. For these reasons, underactuated manipulators are expected to be active in the space field where there is no influence of gravity. In this paper, we try to perform verification of partial stabilizing controllers for planar two-DOF underactuated manipulators. Here, we design this real-time control system with sBOXⅡ using MATLAB/Simulink. The effectiveness of this proposal method is illustrated with some experiments. In future work, we consider a switching system using partial stabilizing controllers.
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Keigo Nishida, Keisuke Ichida
Pages
65-66
Published: 2025
Released on J-STAGE: October 01, 2025
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Underactuated manipulators consist of some passive joints which equipped with nor actuators or holding brakes. Because the number of actuators is less than the number of degrees of freedom, they are expected to reduce the weight, compactness, energy consumption, and cost of the controlled object. However, they require the control of many generalized coordinates with limited inputs. Therefore, this system has complex structural properties. In this paper, we implement a fuzzy inference system in MATLAB/Simulink and simulate of a planar three-link underactuated manipulator using the fuzzy energy region switching method. Also, we aim to optimize the gain parameters of the partial stabilization controller and the design parameters related to the energy region. The effectiveness of this method is demonstrated with some simulations.
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Taito Tanaka
Pages
67-68
Published: 2025
Released on J-STAGE: October 01, 2025
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Damping materials are essential for achieving precise and stable motion in high-speed robotics. In this study, a magnesium-based composite reinforced with 10 vol% of silicone powder (KMP-602) was developed to improve viscoelastic damping performance. The loss tangent (tanδ), an index representing the ratio of loss stiffness to storage stiffness, was measured using the nanoDMA function of a nanoindenter.
The results revealed that tanδ exhibited frequency-dependent behavior. In particular, tanδ showed relatively higher values in the 60–80 Hz range, indicating enhanced energy dissipation within this frequency band. However, the measurements also showed notable variation at the same frequency, with differences reaching up to three to four times across different test points.
Several factors likely contributed to this variability. These include incomplete mirror polishing of the sintered specimen surfaces, non-uniform dispersion of KMP-602 particles, and a mismatch between the nanoindenter’s shallow indentation depth (~1 μm) and the relatively large powder sizes used (180 μm for Mg, 30 μm for KMP-602). As a result, the local microstructure had a significant effect on the measurements.
Future work will focus on either employing evaluation methods better suited for heterogeneous microstructures or developing composite materials with finer, more uniform structures. These improvements are expected to reduce data variation and lead to a more accurate understanding of the composite’s damping properties.
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Satoshi Takahashi, Ajito Kouei
Pages
69-70
Published: 2025
Released on J-STAGE: October 01, 2025
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Sabrou Tokita, Yusuke Nakashima, Rintaro Moriyama, Airi Taniguchi, Sei ...
Pages
71-72
Published: 2025
Released on J-STAGE: October 01, 2025
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Rintarou Moriyama, Seiichi Serikawa, Yusuke Nakashima
Pages
73-74
Published: 2025
Released on J-STAGE: October 01, 2025
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Yusuke Nakashima, Rintaro Moriyama, Saburo Tokita, Airi Taniguchi, Sei ...
Pages
75-76
Published: 2025
Released on J-STAGE: October 01, 2025
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Yuya Ishida, Mayuko Yamada, Atsushi Nozaka, Norikazu Sakuma, Akiyoshi ...
Pages
77-78
Published: 2025
Released on J-STAGE: October 01, 2025
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Tadashi Okabe
Pages
79-80
Published: 2025
Released on J-STAGE: October 01, 2025
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Yuka Miura, Shoichi Nakanishi, Hiroshi Nakamura, Mikio Kajiki
Pages
81-82
Published: 2025
Released on J-STAGE: October 01, 2025
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Atsushi Fukuda, Masakazu Morimoto
Pages
83-84
Published: 2025
Released on J-STAGE: October 01, 2025
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Akito Takahashi, Xu Zhao, Mikio Muraoka
Pages
85-86
Published: 2025
Released on J-STAGE: October 01, 2025
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Mizuki Koyama, Makoto Yamamoto, Yuji Nakabayashi, Satoru Yamada
Pages
87-88
Published: 2025
Released on J-STAGE: October 01, 2025
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Mao Yamaguchi, Masaaki Okamoto, Yuji Nakabayashi
Pages
89-90
Published: 2025
Released on J-STAGE: October 01, 2025
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Zhelin Zheng, Fusaomi Nagata, Keigo Watanabe
Pages
91-92
Published: 2025
Released on J-STAGE: October 01, 2025
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Yuji Peng, Zhelin Zheng, Fusaomi Nagata, Keigo Watanabe
Pages
93-94
Published: 2025
Released on J-STAGE: October 01, 2025
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Shingo Sakata, Hayato Shimogama, Fusaomi Nagata, Kiyoshi Fujisawa, Kei ...
Pages
95-96
Published: 2025
Released on J-STAGE: October 01, 2025
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Naoto Nishida, Yohta Imamura, Fusaomi Nagata, Keigo Watanabe
Pages
97-98
Published: 2025
Released on J-STAGE: October 01, 2025
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