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Publication search results
found 66 matches
- 2023
- Satoshi Abe, Seiichi Uemoto, Masanori Morimoto:
Advantages of Injection Mold with Hybrid Process of Metal Powder Bed Fusion and Subtractive Process. Int. J. Autom. Technol. 17(4): 388-397 (2023) - Saki Amaki, Yohei Kato, Tomomi Sudo, Takahiro Kono, Arata Kaneko:
Fabrication of Nano- and Micro-Structured PPy Electrode and its Application to Electroporation to Cell. Int. J. Autom. Technol. 17(6): 603-609 (2023) - Tomoko Aoki, Erika Yamamoto, Hiroshi Masuda:
Detection of Multiscale Deterioration from Point-Clouds of Furnace Walls. Int. J. Autom. Technol. 17(6): 610-618 (2023) - Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota:
Multi-Scale Batch-Learning Growing Neural Gas Efficiently for Dynamic Data Distributions. Int. J. Autom. Technol. 17(3): 206-216 (2023) - Yui Endo, Tsubasa Maruyama, Mitsunori Tada:
DhaibaWorks: A Software Platform for Human-Centered Cyber-Physical Systems. Int. J. Autom. Technol. 17(3): 292-304 (2023) - Toshiyuki Enomoto, Tatsuya Sugihara:
Editorial: Recent Progress in Precision Engineering. Int. J. Autom. Technol. 17(6): 551 (2023) - Atsushi Ezura, Satoshi Abe, Tatsuaki Furumoto, Toshihiko Sasaki, Jiro Sakamoto:
Study on Laser Scan Strategy for Correcting Anisotropic Residual Stress Distribution and Reducing Warpage in Structures Fabricated by PBF-LB/M. Int. J. Autom. Technol. 17(4): 369-377 (2023) - Hideyuki Fujii, Yukio Takahashi, Jiei Hodohara, Norikazu Suzuki, Yuki Yamada, Yasuhiro Imabeppu, Naruhiro Irino:
Estimation of Hardness and Residual Stress on End-Milled Surfaces Using Linear Regression Model. Int. J. Autom. Technol. 17(6): 564-574 (2023) - Masakazu Fujimoto, Masashi Fujita:
Three-Dimensional Evaluation of Microscopic Wheel Surface Topography in Creep Feed Grinding Using Ceramics Grinding Wheel. Int. J. Autom. Technol. 17(1): 14-20 (2023) - Tatsuaki Furumoto, Hiroyuki Sasahara:
Editorial: Recent Trends in Additive Manufacturing. Int. J. Autom. Technol. 17(4): 325 (2023) - Luis Garcia, Uwe Bielke, Cornelius Neumann, Rainer Börret:
Machine Learning Based Position Prediction of a Target Tracked by Multi-Aperture Positioning System. Int. J. Autom. Technol. 17(3): 305-313 (2023) - Afif Hamzens, Kento Kitamura, Shota Mochizuki, Leapheng Uon, Hiromasa Ohmi, Hiroaki Kakiuchi:
Organosilicon-Based Thin Film Formation in Very High-Frequency Plasma Under Atmospheric Pressure. Int. J. Autom. Technol. 17(6): 575-582 (2023) - Ryo Hanashima, Takumi Tokuda, Masaaki Mochimaru, Junji Ohyama:
Effect of Perspective and Visuo-Tactile Feedback in Virtual Reality-Based Posture Learning. Int. J. Autom. Technol. 17(3): 248-261 (2023) - Kaito Hara, Satoki Tsuichihara, Yasutake Takahashi:
Motion Analysis of the Torso and the Elbow During Picking and Placing Heavy Object on Shelf. Int. J. Autom. Technol. 17(3): 226-236 (2023) - Yohei Hashimoto, Yugo Nakayama, Tatsuaki Furumoto, Akihito Sekiya, Tetsuya Yamada, Tatsuki Kawahara, Akira Hosokawa:
Finishing Speed Improvement Using Side Cover Plates in Gyro Finishing. Int. J. Autom. Technol. 17(1): 47-54 (2023) - Akio Hayashi, Yoshitaka Morimoto:
Study on Process Design Based on Language Analysis and Image Discrimination Using CNN Deep Learning. Int. J. Autom. Technol. 17(2): 112-119 (2023) - Soichi Ibaraki, Kandai Kawano:
On Thermal Positioning Error of a Planar Robot Arm over Entire Workspace. Int. J. Autom. Technol. 17(5): 504-511 (2023) - Yukitoshi Ihara, Souma Kajino, Yuto Inoue:
Feasibility of 8-Shaped Motion Test for Five-Axis Machining Center. Int. J. Autom. Technol. 17(5): 477-485 (2023) - Tetsunari Inamura:
Digital Twin of Experience for Human-Robot Collaboration Through Virtual Reality. Int. J. Autom. Technol. 17(3): 284-291 (2023) - Fengmin Ji, Kentaro Imai, Weimin Lin:
A Study of Depth of Cut and Wear in Precision Grinding of CVD-SiC. Int. J. Autom. Technol. 17(5): 529-535 (2023) - Tappei Kawasato, Hinata Takamaru, Kazuhisa Hamazono, Masahiko Fukuta, Katsutoshi Tanaka, Yusuke Chiba, Mikinori Nagano, Hidebumi Kato, Yasuhiro Kakinuma:
Slurry Conditions for Reaction-Induced Slurry-Assisted Grinding of Optical Glass Lens. Int. J. Autom. Technol. 17(1): 40-46 (2023) - Hiroyuki Kodama, Shota Matsuno, Naoyuki Shibata, Kazuhito Ohashi:
Effect of Vibration Behavior in Low-Frequency Vibration Cutting on Surface Properties of Workpiece. Int. J. Autom. Technol. 17(5): 434-448 (2023) - Naofumi Komura, Kazuma Matsumoto, Shinji Igari, Takashi Ogawa, Sho Fujita, Keiichi Nakamoto:
Computer Aided Process Planning for Rough Machining Based on Machine Learning with Certainty Evaluation of Inferred Results. Int. J. Autom. Technol. 17(2): 120-127 (2023) - Tomohiro Koyano, Taisei Hokin, Tatsuaki Furumoto:
Effect of Pulse Conditions on Machining Characteristics in Bipolar-Pulse Electrochemical Machining of Cemented Carbide. Int. J. Autom. Technol. 17(6): 583-593 (2023) - Chieko Kuji, Kuniyuki Izumita, Keita Shimada, Masayoshi Mizutani, Keiichi Sasaki, Tsunemoto Kuriyagawa:
Influence of the Impact Angle on Machining in Powder Jet Processing. Int. J. Autom. Technol. 17(1): 5-13 (2023) - Yuji Kumano, Suguru Kanoga, Masataka Yamamoto, Hiroshi Takemura, Mitsunori Tada:
Estimating Whole-Body Walking Motion from Inertial Measurement Units at Wrist and Heels Using Deep Learning. Int. J. Autom. Technol. 17(3): 217-225 (2023) - Shino Matsuura, Kazuhiko Hirata, Hiroaki Kimura, Yoshitaka Iwamoto, Makoto Takahashi, Yui Endo, Mitsunori Tada, Tsubasa Maruyama, Yuichi Kurita:
Motion Measurement and Analysis for Functional Independence Measure. Int. J. Autom. Technol. 17(3): 237-247 (2023) - Kenta Mizuhara, Daisuke Nakamichi, Wataru Yanagihara, Yasuhiro Kakinuma:
Machine Learning-Based Shape Error Estimation Using the Servomotor Current Generated During Micro-Milling of a Micro-Lens Mold. Int. J. Autom. Technol. 17(2): 92-102 (2023) - Kazuyuki Morishita, Taichi Yamaguchi, Kentaro Wada, Junichiro Yamabe:
Technique for Introducing Internal Defects with Arbitrary Sizes and Locations in Metals via Additive Manufacturing and Evaluation of Fatigue Properties. Int. J. Autom. Technol. 17(4): 378-387 (2023) - Keiichi Nakamoto, Keigo Takasugi:
Editorial: Application of Artificial Intelligence Techniques in Production Engineering. Int. J. Autom. Technol. 17(2): 91 (2023)
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