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243rd ECS Meeting

作者： Okuyama, Yuji Harada, Yoshiaki Mikami, Yuichi Yamauchi, Kosuke Kuroha, Tomohiro Shimada, Hiroyuki Yamaguchi, Yuki Mizutani, Yasunobu Research Center for Sustainable Energy & Environmental Engineering Faculty of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Department of Environmental Robotics Mechanical Systems and Informatics Course Graduate School of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Interdisciplinary Graduate School of Agriculture and Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Technology Division Panasonic Holdings Corporation 3-1-1 Yagumo-naka-machi Osaka Moriguchi City570-8501 Japan Innovative Functional Materials Research Institute National Institute of Advanced Industrial Science and Technology 4-205 Sakurazaka Moriyama-ku Aichi Nagoya463-8560 Japan

ISBN: (纸本)9781607685395

To measure the proton current in a PCFC (protonic ceramic fuel cell), the proton current detector was developed using a proton conducting oxide. The amount of proton current that flowed in the PCFC can be measured by an apparatus developed based on the electromotive force of an electrochemical cell using 10 mol% In-doped CaZrO3 (hydrogen sensor) and Y-stabilized zirconia (oxygen sensor). The water vapor pressure on the cathode changed when hydrogen ions pass through the PCFC. The hydrogen ion current can be determined by monitoring the water vapor pressure. The electronic leakage was then estimated from the hydrogen ion current and external current. We measured the current of hydrogen flowing through protonic ceramic fuel cell using ytterbium-doped barium zirconate as the electrolyte. Hydrogen ions and holes were found to leak under the OCV at 700°C. The electronic leakage was found to be suppressed with the increasing electrolyte film thickness. On the other hand, no leakage of hydrogen and holes was observed at 500°C. © The Electrochemical Society.

关键词： Ions

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Evaluation of effect of aneurysm model material on coil contact force and catheter movement

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Journal of Biomechanical Science and engineering 2022年第1期17卷 1-10页

作者： Oishi, Takuya Takashima, Kazuto Yoshinaka, Kiyoshi Yu, Kaihong Ohta, Makoto Mori, Koji Toma, Naoki Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology 2-4 Hibikino Wakamatsu-ku Kitakyushu Fukuoka808-0196 Japan National Institute of Advanced Industrial Science and Technology 1-2-1 Namiki Tsukuba Ibaraki305-8564 Japan Institute of Fluid Science Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University 2-16-1 Tokiwadai Ube Yamaguchi755-8611 Japan Graduate School of Medicine Mie University 2-174 Edobashi Tsu Mie514-8507 Japan

To ensure safe coil embolization for cerebral aneurysms, it is important to investigate the contact force between a coil and an aneurysm wall. Therefore, in our previous study, we developed an experimental system for measuring the contact force between a coil and an aneurysm biomodel. However, because the aneurysm model was made of silicone rubber, its physical properties, such as the friction coefficient, differed from those of aneurysms in vivo. Therefore, in this study, we made an aneurysm model using poly (vinyl alcohol) hydrogel (PVA-H) and evaluated the effect of the model material on the contact force. In addition, we acquired images during the experiment and evaluated the behavior of the coil and catheter and the relationship between the catheter movement and the contact force. A commercially available coil was inserted through a catheter into two types of aneurysm models (silicone rubber and PVA-H), and the effects of the model material and the catheter tip position (near dome, at the center, and near neck) were evaluated. The contact force and the total movement of the catheter tip for the PVA-H model were smaller than those for the silicone rubber model. The contact force (total catheter movement) was greater (smaller) when the catheter tip was inserted deeper into the silicone rubber model. These results suggest that the state of contact between the aneurysm and the coil affects the contact force and the catheter movement and that these two values are related. © 2022 The Japan Society of Mechanical Engineers. All Rights Reserved.

关键词： Phantoms

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Development of Virtual Learning Factory Toolkit for Production engineering Education 13

Development of Virtual Learning Factory Toolkit for Producti...

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13th International DAAAM Baltic Conference and 29th International Baltic Conference, BALTMATTRIB 2021

作者： Mahmood, Kashif Otto, Tauno Kuts, Vladimir Terkaj, Walter Urgo, Marcello Haidegger, Geza Department of Mechanical and Industrial Engineering Tallinn University of Technology Tallinn Estonia STIIMA-CNR Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing National Research Council Milan Italy Manufacturing and Production Systems Division Department of Mechanical Engineering Politecnico di Milano Milan Italy SZTAKI – Institute for Computer Science and Control Budapest Hungary

The advent of industry 4.0 and the continuous digitalization of production ask for the enhancement of human skills and competences in the field of information and communication technology (ICT). Therefore, higher education has to keep pace with the global market needs for the necessary ICT skills and the overall understanding of the complexity of industries in 21st century. This paper focuses on the development and integration of Virtual Learning Factory (VLF) tools that can be used in production management and engineering education. The digital tools integrated in VLF toolkit can help students to exploit enabling technologies like simulation and virtual reality in their manufacturing studies and practical projects with industrial companies. © 2021 DAAAM International. All rights reserved.

关键词： engineering education

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Development of ROV Simulator based on Real Oceanographic Data

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IFAC-PapersOnLine 2023年第2期56卷 11590-11595页

作者： Ryusei KAMEWARI Yusuke FUJISHIMA Kuniaki KAWABATA Kenta SUZUKI Norimitsu SAKAGAMI Fumiaki TAKEMURA Satoru TAKAHASHI Graduate School of Science for Creative Emergence Kagawa University 2217-20 Hayashi-Machi Takamatsu Kagawa 761-0396 Japan Area of Mechanical Systems Engineering Faculty of Engineering and Design Kagawa University Kagawa Japan Sector of Fukushima Research and Development Japan Atomic Energy Agency Fukushima Japan Mechanical Engineering and Robotics Course Faculty of Advanced Science and Technology Ryukoku University Shiga Japan Department of Mechanical Systems Engineering National Institute of Technology Okinawa College Okinawa Japan

In recent years, demand for efficient oceanographic research for the development of marine resources has been increasing on a global scale. In general, research and operation training on underwater robotics in the ocean is very costly, and the climate and conditions of the ocean may make it impossible to conduct experiments. In this paper, we introduce an ocean simulator using real oceanographic data that can avoid these issues. First, we treat Choreonoid which is an integrated software for robots applied by national institute of advanced industrial Science and technology (AIST), as the basis of the simulator software. Furthermore, to demonstrate its feasibility in a more realistic ocean environment, we introduce the seabed data obtained from oceanographic research and a function to reproduce ocean currents on the simulator. In this paper, self-localization experiment is conducted to demonstrate the effectiveness of the simulator for oceanographic research.

关键词： underwater robot oceanographic research Ocean simulator self-localization estimation

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Transfer-Learning-Aided Defect Prediction in Simply Shaped Cfrp Specimens Based on Stress Distribution Obtained from Finite Element Analysis and Infrared Stress Measurement

SSRN

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SSRN 2024年

作者： Kojima, Yuta Hirayama, Kenta Endo, Katsuhiro Harada, Yoshihisa Muramatsu, Mayu Department of Science for Open and Environmental Systems Graduate School of Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama223-8522 Japan National Institute of Advanced Industrial Science and Technology 1-1-1 Umezono Ibaraki Tsukuba305-8568 Japan National Institute of Advanced Industrial Science and Technology 1-2-1 Namiki Ibaraki Tsukuba305-8564 Japan Department of Mechanical Engineering Faculty of Science and Technology Keio University 3-14-1 Hiyoshi Kohoku-ku Kanagawa223-8522 Japan

In this paper, we propose a framework of nondestructive testing for predicting the 3D structure of internal defects in carbon-fiber-reinforced plastic (CFRP) from the distribution of the sum of principal stresses on surfaces (DSPSS) through transfer learning. DSPSS is obtained from both the finite element method and infrared stress measurement results. Infrared stress measurements are based on Kelvin's theory to convert surface temperature changes to DSPSS changes. The machine learning model used in this framework is a 3D convolutional neural network (CNN). The transfer learning method employed in this framework is as follows. First, a 3D CNN that predicts the 3D structure of defects is trained using the DSPSS dataset by the finite element method and the 3D structure of internal defects. DSPSS is used with noise that imitates the noise generated by experimental factors such as temperature fluctuations in infrared stress measurements and differences in physical properties between the polymer resin and the carbon fiber bundle of CFRP. Next, the 3D CNN is trained using the DSPSS dataset obtained by infrared stress measurement and the 3D structure of defects. The accuracy of the trained 3D CNN is evaluated using DSPSS infrared stress measurements. We discuss the factors that enable us to predict the 3D defect data from the two-dimensional DSPSS using a variational autoencoder. The proposed method makes it possible to estimate internal defect information. © 2024, The Authors. All rights reserved.

关键词： Finite element method

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Proposal of a Smart Bicycle Tourism Improving Tourability and Safety for Tourists by Mesh LPWA Communication System 8

Proposal of a Smart Bicycle Tourism Improving Tourability an...

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8th International Symposium on Computing and Networking Workshops, CANDARW 2020

作者： Uchim, Tomonari Chiba, Shinji National Institute of Technology Sendai College Advanced Course of Information and Electronic Systems Sendai Japan National Institute of Technology Sendai College Department of General Engineering Sendai Japan

ISBN: (纸本)9781728199191

In many local regions, the population is decreasing because of outflow of young people to city areas and the declining birth rate and aging population, so a tourism promotion is expected as a method of regional activation. But it is difficult to invite tourists to a minor local region by a common tourism promotion. Further the tourism industry must response to COVID-19 and large-scale natural disasters that have frequently occurred in recent years. In this study, we propose a bicycle tourism system using LPWA communication helping to travel around tourist destinations safely and efficiently. Basics of the bicycle tourism system was developed and investigated the possibility and usefulness. © 2020 IEEE.

关键词： Bicycles

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An avoiding overlap method between acoustic shadow and organ for automated ultrasound diagnosis and treatment 11

An avoiding overlap method between acoustic shadow and organ...

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Matsuyama, Momoko Koizumi, Norihiro Nishiyama, Yu Tsumura, Ryosuke Tsukihara, Hiroyuki Numata, Kazushi The University of Electro-Communications Department of Mechanical and Intelligent Systems Engineering Chofu Japan The University of Electro-Communications Department of Computer and Network Engineering Chofu Japan Health and Medical Research Institute National Institute of Advanced Industrial Science and Technology Line 4 Tsukuba Japan The University of Tokyo Department of Cardiothoracic Surgery Bunnkyo-Ku Japan Yokohama City University Medical Center Gastroenterological Center Yokohama Japan

ISBN: (纸本)9781665492324

Ultrasound diagnosis and treatment have attracted attention because they are noninvasive and allow real-time observation of lesions. However, it is difficult to accurately estimate the location of the treatment area because of information loss due to acoustic shadows caused by the reflection of sound waves from hard tissues such as bone. In this study, we propose a probe manipulation method that uses deep learning to avoid overlap between organs and shadows for automated diagnosis. © 2022 IEEE.

关键词： Ultrasonics

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technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Thermoresponsive mobility of liquid crystals and reactive mesogens during photopolymerization-induced phase separation

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Physical Review E 2022年第4期106卷 044704-044704页

作者： Hiroshi Kakiuchida Akihiko Matsuyama Eiichi Kobayashi Akifumi Ogiwara Innovative Functional Materials Research Institute National Institute of Advanced Industrial Science and Technology Nagoya 463-8560 Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820-8502 Japan Kyushu Synchrotron Light Research Center Tosu 841-0005 Japan Department of Electronic Engineering Kobe City College of Technology Kobe 651-2194 Japan

Molecular interactions between liquid crystals (LCs) and reactive mesogens (RMs) at temperatures across the phase transition regions were comprehensively studied during photopolymerization-induced phase separation (PPIPS) beginning with raw mixtures until the formation of polymer network liquid crystals (PNLCs). Then, the molecules were found to be nonuniformly more and less mobile in response to temperature as PPIPS progressed. Optical birefringence and infrared absorption were carefully measured throughout PPIPS, using 4-cyano-4′-hexylbiphenyl (6CB) and 1,4bis-[4-(3-acryloyloxypropyloxy) benzoyloxy]-2-methylbenzene (RM257) as typical LCs and RMs. Microscopic views of thermoresponsive changes in the molecular orientation order of both LCs and RMs were obtained: LCs and RMs in raw mixtures interacted with one another but uniformly transformed their molecular orientation. Such interactions continuously change to become nonuniform with progress in PPIPS. At the incipient stages of PPIPS, RMs, which are polymerized but not completely networked, inhibit LCs from changing their molecular orientation and vice versa. As PPIPS progresses, some LCs become more mobile and some less mobile owing to RM constraints. The domain configuration of the submicrometer phase separation affects the thermoresponsive mobility of LCs and RMs, that is, LCs become more mobile in LC-richer areas. The quantitative knowledge here provides comprehensive insight that LCs and RMs are mutually constrained and that such interactive behavior varies nonuniformly as PPIPS progresses.

关键词： Birefringence Liquid crystal phase transitions Nematic phase transition Order parameters Phase separation Polymerization Stimuli-responsive materials Liquid crystalline polymers Liquid crystals Nematic liquid crystals Thermotropic liquid crystals Fourier transform infrared spectroscopy Optical spectroscopy Polarized optical microscopy Scanning electron microscopy

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Analog Hardware Neural Networks using Logarithmic Four-Quadrant Multiple Circuits

Analog Hardware Neural Networks using Logarithmic Four-Quadr...

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IIAI International Conference on advanced Applied Informatics (IIAIAAI)

作者： Masashi Kawaguchi Naohiro Ishii Masayoshi Umeno National Institute of Technology Suzuka College Suzuka Japan Information Systems Architecture Course Advanced Institute of Industrial Technology Tokyo Japan Chubu University Kasugai Japan

ISBN: (纸本)9781665424219

In the artificial intelligence, machine learning and neural network fields, many practical use models have been proposed. However, these models are based on a digital Von Neumann model's computer. There are a minority of studies in the field of analog learning neural networks. In our previous study, we used multiple circuits as connecting weights. Multiple circuits calculate the product of the two input values, input signals and connecting weights. However, the working range is very small because of the semiconductor characteristics. When constructing a network, one of the disadvantages is that the input and output range is limited. Furthermore, the circuit operation becomes unstable because of the characteristics of the multiple circuit. In this study, we proposed logarithmic four-quadrant multiple circuits as a connecting weight. From the experimental result, it is shown that this circuit operates stably over a wide range. The model works using pure analog electronic circuits. The learning time is quite short compare to a digital process computer. We improved the number of units and network layers. Moreover, we suggest the possibility of the realization of the hardware implementation of the deep learning model.

关键词： Deep learning Image recognition Biological system modeling Computational modeling Hardware Sensors Biosensors

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