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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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Realizing Global Citizen Solutions for Sustainable Development Goals: A Collaborative engineering Course Between Thai and Japanese Students 23

Realizing Global Citizen Solutions for Sustainable Developme...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Sae-Jia, Thanachot Leelawat, Natt Tang, Jing Murakami, Rie Taoka, Yuki Ota, Eri Punyabukkana, Proadpran Chulalonkorn University Faculty of Engineering Department of Environmental Engineering Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan International School of Engineering Chulakongkorn University Faculty of Engineering Bangkok Thailand Global Education Section Center for Entrepreneurship Education Tokyo Institute of Technology Tokyo Japan School of Environment and Society Tokyo Institute of Technology Tokyo Japan Chulalongkorn University Faculty of Engineering Department of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798350353952

One of the problems faced by engineering and science students is focusing solely on technical knowledge while needing more cultural context. In today's interconnected world, addressing global challenges necessitates collaborative efforts from individuals across nations. Accordingly, a joint course between Chulalongkorn University in Thailand and the Tokyo Institute of technology in Japan has been established. The recent theme of the course, 'Gamification towards Sustainable Development Goals (SDGs),' aimed to foster global citizenship and address SDGs through multicultural collaboration. This study examines the similarities and differences in problem identification between Thai and Japanese student groups participating in the course. Data was collected from discussions, presentations, and group assignments throughout the course. The findings indicate that while both groups share common concerns, such as waste management, language barriers, and transportation issues, their perspectives and proposed solutions are influenced by cultural characteristics. Thai students emphasized infrastructural inadequacies and local traditions, whereas Japanese students focused on efficiency and the impacts of tourism. The study highlights the importance of understanding cultural nuances in collaborative international projects to achieve effective and innovative solutions to global challenges. © 2024 IEEE.

关键词： Sustainable development goals

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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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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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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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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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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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Study of heat treatment effect on magnetic properties of MnFeGe using 57Fe Mössbauer spectroscopy

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Interactions 2024年第1期245卷 1-11页

作者： Koyama, Keiichi Mitsui, Yoshifuru Imatsuji, Saki Onaka, Akari Kobayashi, Ryota Onoue, Masahira Onodera, Reisho Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan Center for Advanced Science Research and Promotion Kagoshima University Kagoshima890-0065 Japan Faculty of Science Kagoshima University Kagoshima890-0065 Japan Department of Industrial Engineering National Institute of Technology Ibaraki College Ibaraki Hitachinaka312-8508 Japan National Institute of Technology Kurume College Kurume Fukuoka830-8555 Japan

X-ray powder diffraction, magnetization, and 57Fe Mössbauer spectroscopy measurements were performed to investigate the effects of heat treatment on the magnetic properties of MnFeGe with hexagonal Ni2In-type structure. The samples were annealed at 1173 K for 24 h, as a solution treatment (ST), and then aged at 1073 K (AG-1073 K), 973 K (AG-973 K) and 773 K (AG-773 K). Curie temperature was the highest at AG-1073 K (201 K), and the lowest at AG-773 K (169 K). In ST and AG-1073 K, Mössbauer spectrum was represented by three subspectra. In AG-1073 K, 19% of the Fe atoms occupied 2a-site and 71% of the Fe atoms occupied 2d-site. The hyperfine fields of 2a- and 2d-sites at 15 K were 20.3 T and 9.99 T, respectively. Approximately 10% of the iron atoms contributed to the subspectrum of nonmagnetic phase. On the other hand, to represent the spectra obtained at 15 K for samples annealed at lower temperatures (AG-973 K and AG-773 K), an additional subspectrum with the hyperfine field of 21.6–22.0 T was required, which was due to the ferromagnetic impurity phase. The obtained results showed that as the aging temperature decreased, Fe occupying the 2a-site with a large hyperfine field decreased, resulting in a decrease in the macroscopic magnetic properties of MnFeGe. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Annealing

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An Explicit Construction of a Coded Caching Scheme with Heterogeneous Cache Sizes 18

An Explicit Construction of a Coded Caching Scheme with Hete...

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18th International Symposium on Information Theory and Its Applications, ISITA 2024

作者： Nagaya, Akihito Koga, Hiroki Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki305-8573 Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki305-8573 Japan

ISBN: (纸本)9784885523519

In the coded caching scheme proposed by Maddah-Ali and Niesen, we usually consider the setup where K users have respective cache memories of equal size and request arbitrary one of N files to a server. The server broadcasts a signal to the K users so that each user can reproduce the requested file from the transmitted signal together with the contents in their cache memory. Finding the memory-rate tradeoff is one of the fundamental problems in the coded caching problem. In this paper, we extend the coded caching problem to the case where K users have cache memories of unequal sizes. We succeed in giving a new upper bound of the memory-rate tradeoff under a certain assumption. We establish the upper bound by developing a new scheme in which N files are divided into sub files of unequal sizes according to the sizes of cache memories. The validity of this scheme is established by using combinatoric arguments. We also show that adding new users with no cache memory to the K users can reduce the rate of the transmitted signal. © 2024 The Institute of Electronics, Information and Communication Engineers.

关键词： Cache memory

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