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2024 IEEE Conference on Antenna Measurements and Applications, CAMA 2024

作者： Ogaki, Arata Nagasawa, Kota Sugiyama, Masataka Jitsuno, Kunihisa Hisatake, Shintaro Kawanishi, Tetsuya Graduate School of Fundamental Science and Engineering Waseda Univeristy Tokyo Japan Graduate School of Fundamental Science and Engineering Waseda Univeristy Department of Electronic and Physical Systems Tokyo Japan Ltd. SED Kanagawa Japan Gifu University Faculty of Engineering Gifu Japan

ISBN: (纸本)9798350386929

This paper describes 300GHz TDD (Time division duplex) radio units based on IEEE.802.15.3d. The radio units offer two 2.16-GHz channels whose frequencies are 286.2 GHz and 288.36 GHz. Outdoor propagation measurement is performed on a rooftop of a building in Waseda University campus. Weather and temperature sensors are installed for long-term measurement. © 2024 IEEE.

关键词： TDD THz transmission measurement wireless

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AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical Exercise

AI-based Models to Predict the Heart Rate Using PPG and Acce...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Ribeiro, Lucas Oliveira, Helder P. Hu, Xiao Pereira, Tania University of Porto Inesc Tec Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Feup - Faculty of Engineering Porto Portugal University of Porto Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Fcup - Faculty of Science Porto Portugal Emory University Nell Hodgson Woodruff School of Nursing Department of Biomedical Informatics School of Medicine Department of Computer Science College of Arts and Sciences Atlanta United States Technology and Science Inesc Tec - Institute for Systems and Computer Engineering Porto Portugal

ISBN: (纸本)9798350337488

PPG signal is a valuable resource for continuous heart rate monitoring;however, this signal suffers from artifact movements, which is particularly relevant during physical exercise and makes this biomedical signal difficult to use for heart rate detection during those activities. The purpose of this study was to develop learning models to determine heart rate using data from wearables (PPG and acceleration signals) and dealing with noise during physical exercise. Learning models based on CNNs and LSTMs were developed to predict the heart rate. The PPG signal was combined with data from accelerometers trying to overcome the noise movement on the PPG signal. Two datasets were used on this work: the 2015 IEEE Signal Processing Cup (SPC) dataset was used for training and testing, and another dataset was used for validation of the learning model (PPG-DaLiA dataset). The predictions obtained by the learning model represented a mean average error of 7.033±5.376 bpm for the SCP dataset, while a mean average error of 9.520±8.443 bpm for the validation set. The use of acceleration data increases the performance of the learning models on the prediction of the heart rate, showing the benefits of using this source of data to overcome the noise movement problem on the PPG signal. The combination of PPG signal with acceleration data could allow the learning models to use more information regarding the motion artifacts that affect the PPG and improve performance on the physiological event detections, which will largely spread the use of wearables on the healthcare applications for continuous monitor the physiological state allowing early and accurate detection of pathological events. © 2023 IEEE.

关键词： Convolutional Neural Network Heart Rate Estimation Long Short Term Memory Motion Artifacts Photoplethysmography

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In-situ Observation of Fatigue Crack Propagation in Soda-Lime Glass with Vickers Indentation-Induced Initial Crack under Bending

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Zairyo/Journal of the Society of Materials science, Japan 2023年第12期72卷 866-872页

作者： Komine, Hibiki Fujita, Keisuke Niwa, Akifumi Kobayashi, Yusuke Sato, Yosuke Kuroda, Ryunosuke Kikuchi, Shoichi Department of Engineering Graduate School of Integrated Science and Technology Shizuoka University Johoku Naka-ku Hamamatsu432-8561 Japan JSPS Research Educational Division Graduate School of Science and Technology Shizuoka University Johoku Naka-ku Hamamatsu432-8561 Japan Evaluation Science Team Common Base Technology Division Innovative Technology Laboratories AGC Inc. Suehiro-cho Tsurumi-ku Yokohama230-0045 Japan Department of Mechanical Engineering Faculty of Engineering Shizuoka University Johoku Naka-ku Hamamatsu432-8561 Japan

Small cracks propagate at the glass surface due to the combined effects of water vapor and applied load. This phenomenon is known as glass fatigue. In this study, four-point bending fatigue tests under static and cyclic loading conditions were conducted for the soda-lime glass plate specimens with the initial crack and indentation pit induced by Vickers diamond indentation. Fatigue cracks were observed by the in-situ crack observation system using optical microscopy in order to obtain the relationship between crack growth rate, da/dt, and maximum stress intensity factor, Kmax, during fatigue tests. The da/dt decreased and then increased with the Kmax value. In addition, photoelasticity was applied to measure the residual stress distribution generated on the surface of the glass. The results showed that the da/dt at the early stage varied with indentation load due to the residual stress, whereas the effect of the indentation load on the da/dt was not observed in the region without residual stress. © 2023 The Society of Materials science, Japan.

关键词： Fatigue crack propagation

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CRISP - DM Process in Smart Building Management 11

CRISP - DM Process in Smart Building Management

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11th International Conference on Electrical and Electronics engineering, ICEEE 2024

作者： Dursun, Mahir Sabyrzhan, Moldir Gazi University Faculty of Technology Dept. of Electrical and Electronics Engineering Ankara Turkey Graduate School of Informatics Gazi University Department of Computer Science Ankara Turkey

ISBN: (纸本)9798350362541

Smart Buildings are buildings that integrate and combine intelligence, management, control, materials, and construction as a single system to meet all the needs of the building, such as comfort, energy efficiency, and durability. In universities, laboratories are used less frequently than other facilities and classrooms. Courses and students may change in the same classroom, and the period of use of such classrooms is much more extended than in laboratories. However, classrooms may only be used for classes during long breaks or for short periods of non-use between exams. In addition, there is no provision for when the heating system will start to heat up before classes or when it will be turned off after classes. By planning heating and lightning, energy and costs will be saved. This paper presents data acquisition methods for preparing a dataset to create a machine learning (ML) model to save energy loss in university laboratories. The developed model will predict energy consumption in classrooms and laboratories based on weather conditions. The study is being conducted in two stages. The first stage describes how to collect data using electronic devices such as Internet of Things (IoT) controllers of Smart Building Management systems. The second stage gave possibilities for data analysis and preparation using the phases of the Cross-Industry Standard Process for Data Mining (CRISP-DM). © 2024 IEEE.

关键词： Information management

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Amorphous-to-crystalline transition-induced two-step thin film growth of quasi-one-dimensional penta-telluride ZrTe5

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材料科学技术（英文版） 2025年第7期210卷 246-253页

作者： Yi Shuang Yuta Saito Shogo Hatayama Paul Fons Ando Daisuke Yuji Sutou WPI Advanced Institute for Materials Research Tohoku University2-1-1 KatahiraAoba-kuSendai 980-8577Japan Research Center for Green X-Tech Tohoku University6-6-11 Aoba-yamaAoba-kuSendai 980-8579Japan Department of Materials Science Graduate School of EngineeringTohoku University6-6-11 Aoba-yamaSendai 980-8579Japan Device Technology Research Institute National Institute of Advanced Industrial Science and Technology(AIST)Tsukuba Central 2Umezono 1-1-1Tsukuba 305-8568Japan Device Technology Research Institute National Institute of Advanced Industrial Science and Technology(AIST)Tsukuba Central 2Umezono 1-1-1Tsukuba 305-8568Japan Department of Electronics and Electrical Engineering Faculty of Science and TechnologyKeio University3-14-1 HiyoshiKohoku-kuYokohamaKanagawa 223-8522Japan Department of Materials Science Graduate School of EngineeringTohoku University6-6-11 Aoba-yamaSendai 980-8579Japan WPI Advanced Institute for Materials Research Tohoku University2-1-1 KatahiraAoba-kuSendai 980-8577Japan Department of Materials Science Graduate School of EngineeringTohoku University6-6-11 Aoba-yamaSendai 980-8579Japan

Quasi-one-dimensional(quasi-1D)van der Waals(vdWs)materials,such as ZrTe5,exhibit unique elec-trical properties and quantum phenomena,making them attractive for advanced electronic ***,large-scale growth of ZrTe5 thin films presents *** address this by employing sput-tering,a common semiconductor industry *** as-deposited ZrTe5 film is amorphous,and post-annealing induces a crystallization process akin to transition-metal *** study in-vestigates the electrical and optical properties during this amorphous-to-crystalline transition,reveal-ing insights into the underlying *** work contributes to the fundamental understanding of quasi-1D materials and introduces a scalable fabrication method for ZrTe5 which offers the possibility of fabricating unique future electronic and optical devices.

关键词： Quasi-one-dimensional ZrTe5 Large-scale Thin film Phase-change

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Polydopamine-coated metal-organic framework-based composite phase change materials for photothermal conversion and storage

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Chinese Chemical Letters 2023年第8期34卷 343-347页

作者： Ang Li Mengke Huang Die Hu Zhaodi Tang Jianhang Xu Yang Li Xiaowei Zhang Xiao Chen Ge Wang School of Materials Science and Engineering Suzhou University of Science and TechnologySuzhou 215009China Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory of Function Materials for Molecule&Structure ConstructionSchool of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China Institute of Advanced Materials Beijing Normal UniversityBeijing 100875China Key Laboratory of Low-grade Energy Utilization Technologies and Systems(Chongqing University) Ministry of Education of ChinaChongqing UniversityChongqing 400044China Shunde Graduate School University of Science and Technology BeijingShunde 528399China

The liquid leakage and weak solar absorption capacity of organic phase change materials(PCMs)seriously hinder the efficient utilization of solar energy and thermal energy *** address these issues,we prepared nanoporous metal organic framework(Ni-MOF)for the vacuum infiltration of paraffin wax(PW),followed by the coating of solar-absorbing functional polydopamine(PDA)on the surface of PW@MOF for photothermal conversion and *** an efficient photon harvester,PDA coating endows PW@MOF/PDA composite PCMs with excellent photothermal conversion and storage properties due to the robust broadband solar absorption capability in the UV–vis ***,our prepared PW@MOF/PDA composite PCMs exhibit a high photothermal conversion and storage efficiency of 91.2%,while that of PW@MOF composite PCMs is only *** addition,PW@MOF/PDA composite PCMs also exhibit excellent thermal stability,shape stability,energy storage stability,and photothermal conversion *** importantly,this coating strategy is universal by integrating different MOFs and solar absorbers,showing the potential to accelerate the major breakthroughs of high-efficiency MOF-based photothermal composite PCMs in solar energy utilization.

关键词： Phase change materials Metal organic frameworks Photothermal conversion Thermal energy storage Photon harvester

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Construction of a Probabilistic Model Describing Deterioration of Pumping Wells and Its Verification Using Actual Data

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Zairyo/Journal of the Society of Materials science, Japan 2023年第3期72卷 168-173页

作者： Kawahara, Koki Nakano, Kosuke Kanekiyo, Hiroaki Kitaoka, Takafumi Kusumi, Harushige Graduate School of Science and Engineering Kansai University Yamate-cho Suita564-8680 Japan Central Japan Railway Company Meieki Nakamura-ku Nagoya450-6101 Japan Department of Civil Environment and Applied Systems Engineering Faculty of Environmental and Urban Engineering Kansai University Yamate-cho Suita564-8680 Japan

A probabilistic model is newly proposed for describing random deterioration of pumping wells, in consideration of application to efficient management of pumping wells using a concept of asset management procedure. First, introducing a health index for quantifying specific capacity, we formulate a differential equation describing mean deterioration of the helth index. Next, it is extended to a random differential equation, in which a Gaussian white noise is introduced for representing intensive fluctuation around the mean deterioration behavior, so that intensively random variation of the health index can be well reproduced. A probability distribution of the health index is then derived in an analytical form. Finally, the obtained probability distribution is compared with actual data of the health index for active eight pumping wells in Joyo area, Kyoto prefecture, Japan. It is clarified that the scatter of health index of actual pumping wells is quite well reproduced by the theoretically derived probability distribution from the newly proposed probabilistic model. © 2023 Society of Materials science Japan. All rights reserved.

关键词： Deterioration

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Estimating Person Location in Bathroom with Spatial Ultrasound and Variational autoencoder

Estimating Person Location in Bathroom with Spatial Ultrasou...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Sato, Shun Yasuda, Yuto Ohara, Ryotaro Hamabe, Riku Genda, Takayuki Imanaka, Shoya Izumi, Shintaro Kawaguchi, Hiroshi Kobe University Graduate School of System Informatics Kobe Japan Kobe University Department of Computer Science and Systems Engineering Kobe Japan Kobe University Graduate School of Science Technology and Innovation Kobe Japan

ISBN: (纸本)9798350346459

In bathrooms, a fall can lead to severe injuries or even drowning. While taking preventive measures against such accidents is crucial, it's equally important to swiftly detect and request rescue when they occur. In such scenarios, knowing the exact location of the person in the bathroom becomes critical. However, concerns related to privacy and costs make the use of cameras and lidar impractical. To address these issues, we propose a method for estimating the 3D location of a person within the bathroom using ultrasound correlation values as input for a deep neural network. To validate our approach, we conduct experiments using two sensors in this study. The results are promising, as we achieved a mean square error of just 10.48 cm. © 2023 IEEE.

关键词： Location

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Adaptive FRIT-Based Recursive Robust Controller Design Using Forgetting Factors 32

Adaptive FRIT-Based Recursive Robust Controller Design Using...

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32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Tsuruhara, Satoshi Ito, Kazuhisa Graduate School of Engineering and Science Functional Control Systems Shibaura Institute of Technology Minuma Saitama3378570 Japan Japan Society for the Promotion of Science Tokyo1020083 Japan Shibaura Institute of Technology Department of Machinery and Control Systems Minuma Saitama3378570 Japan

ISBN: (纸本)9798350395440

Adaptive FRIT (A-FRIT) with exponential for-getting (EF) has been proposed for time-varying systems to improve the data dependence of FRIT, which is a direct data-driven tuning method. However, the EF -based method is not a reliable controller because it can cause significant degradation of the control performance and instability unless the persistent excitation (PE) condition is satisfied. To solve this problem, we propose a new A-FRIT method based on directional forgetting (DF) and exponential resetting that can forget old data without instability regardless of the PE condition. To confirm the effectiveness of the proposed method, we applied it to artificial muscle control with strong asymmetric hysteresis characteristics and evaluated its robust performance against load changes during the experiment. The experimental results show that the proposed method based on DF achieves high control performance and is robust against changes in the characteristics and/or target trajectory. The proposed method is also practical because it does not require system identification, model structure, or prior experimentation. © 2024 IEEE.

关键词： Time varying systems

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Front-light Structure for a Lensless Fluorescence Imaging Device with a Hybrid Emission Filter

Front-light Structure for a Lensless Fluorescence Imaging De...

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2023 IEEE Biomedical Circuits and systems Conference, BioCAS 2023

作者： Sasagawa, Kiyotaka Ito, Yuki Schaeffer, Daniel Sunaga, Yoshinori Takehara, Hironari Haruta, Makito Tashiro, Hiroyuki Ohta, Jun Deggendorf Institute of Technology Deggendorf Germany Nara Institute of Science and Technology Graduate School of Science and Technology Department of Materials Science Nara Japan Chitose Institute of Science and Technology Faculty of Science and Engineering Department of Opto-Electronic System Engineering Japan Kyushu University Faculty of Medical Sciences Department of Health Science Japan

ISBN: (纸本)9798350300260

Lensless optical imaging is extensively used for deep brain imaging. In this study, we propose and demonstrate a front-light structure to improve the fluorescence observation performance of a lensless fluorescence imaging device. A thin front-light structure is inserted between the object to be observed and the emission filter. This enables the irradiation of excitation light from the same side as the lensless imaging device. We fabricated a front-light structure by patterning diffraction gratings on a thin glass and combined it with a high-performance emission filter to obtain a fluorescence imaging device, which facilitates fluorescence observation as well. © 2023 IEEE.

关键词： fluorescence imaging front-light hybrid emission filter lensless imaging

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