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eTransportation 2025年 25卷

作者： Sina Navidi Kristupas Bajarunas Manuel Arias Chao Chao Hu School of Mechanical Aerospace and Manufacturing Engineering University of Connecticut Storrs 06269 CT USA Faculty of Aerospace Engineering Delft University of Technology Delft HS 2926 Netherlands Institute of Data Analysis and Process Design Zurich University of Applied Science Winterthur 8401 Switzerland

Accurately forecasting lithium-ion battery capacity degradation is crucial for optimizing the second-life utilization of these batteries, enabling reliable operation, reduced maintenance costs, and extended life cycle performance. However, achieving consistent forecasting accuracy across cells and over time remains challenging due to significant cell-to-cell variability and substantial changes in real-world usage conditions during the transition from first to second life. In this study, we propose a new physics-informed machine learning method that integrates an aging-aware electrochemical model with a recurrent neural network, creating a physics-informed recurrent neural network (PI-RNN). This hybrid model leverages both physics-based insights and data-driven learning to predict capacity fade under diverse usage conditions, including transitions from first- to second-life applications. We evaluate PI-RNN using two datasets: an open-source NASA dataset comprising 28 lithium cobalt oxide/graphite cells, and a newly collected dataset of 39 commercial lithium iron phosphate/graphite cells, where cells were initially cycled to 80% capacity in their first life before undergoing milder cycling in their second life. While PI-RNN performs comparably to data-driven models in the first-life phase, it demonstrates a clear advantage in second-life forecasting, reducing root mean squared error by approximately 40%–70% compared to baseline models when forecasting periods span the transition from first to second life, even when trained on as few as two cells. Parametric studies highlight the advantages of incorporating physics-based modeling, and uncertainty quantification ensures the reliability of long-term capacity forecasting. In addition, we conducted benchmarking studies to systematically assess the advantages and limitations of the proposed model, thus identifying the scenarios where this approach excels.

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An Efficient Digital Twin Based on Machine Learning Svd Autoencoder and Generalised Latent Assimilation for Nuclear Reactor Physics

SSRN

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SSRN 2022年

作者： Gong, Helin Cheng, Sibo Chen, Zhang Li, Qing Quilodrán-Casas, César Xiao, Dunhui Arcucci, Rossella SJTU-ParisTech Elite Institute of Technology Shanghai 200240 China Data Science Institute Imperial College London LondonSW7 2AZ United Kingdom Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China Faculty of Sciences and Engineering Swansea University SwanseaSA1 8EN United Kingdom Department of Earth Science & Engineering Imperial College London LondonSW7 2AZ United Kingdom

This paper proposes an approach that combines reduced-order models with machine learning in order to create an digital twin to predict the power distribution over the core during the operation stage. The operational digital twin is designed to solve forward problems given input operation parameters, as well as to solve inverse problems given some observations of the power field. The forward model is realised using SVD autoencoder reduced order model and machine learning methods. The inverse model is based on a generalised latent assimilation method. The effectiveness in the sense of accuracy and real-time solver of the digital twin is illustrated through a real engineering problem in nuclear reactor physics - reactor core simulation in the life cycle of HPR1000 affected by control rod inserting step, burnup, power level and inlet temperature of the coolant, which shows potential applications for on-line monitoring purpose. © 2022, The Authors. All rights reserved.

关键词： Inverse problems

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Erratum: Interrupted mosaic speech revisited: Gain and loss in intelligibility by stretching [J. Acoust. Soc. Am. 155(3), 1767-1779 (2024)]

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The Journal of the Acoustical Society of America 2024年第5期155卷 3014页

作者： Kazuo Ueda Masashi Hashimoto Hiroshige Takeichi Kohei Wakamiya Department of Acoustic Design Faculty of Design/Research Center for Applied Perceptual Science/Research and Development Center for Five-Sense Devices Kyushu University 4-9-1 Shiobaru Minami-ku Fukuoka 815-8540 Japan. Department of Acoustic Design Faculty of Design Kyushu University 4-9-1 Shiobaru Minami-ku Fukuoka 815-8540 Japan. Open Systems Information Science Team Advanced Data Science Project (ADSP) RIKEN Information R&D and Strategy Headquarters (R-IH) RIKEN 1-7-22 Suehiro-cho Tsurumi-ku Yokohama Kanagawa 230-0045 Japan.

In the second line of the abstract on page 1767 of the original paper (Ueda , 2024), read “Udea” as “Ueda.”

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On the unification of rational terms

Computer Software

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Computer Software 2018年第4期35卷 151-163页

作者： Iwami, Munehiro Dept. of Information Systems Design and Data Science Interdisciplinary Faculty of Science and Engineering Shimane University Japan

First-order unification algorithms on finite terms are formalized by inference rules, and their termination, soundness and completeness have been presented in many papers. Unification algorithms on rational terms have also been presented in several papers. However, it has not been shown that the solution of the set obtained by inference rules from a given set of equations coincides with the rational substitution which is the most general unifier of the original set. Furthermore, the precise proofs of termination, soundness and completeness are not clear in many cases. In this paper, we revisit the foundations of unification algorithm on rational terms within the framework of term rewriting systems. First, we show that the solution of a regular system is the most general unifier of the set of equations corresponding to the regular system. Next, we reformulate the unification algorithm on rational terms by inference rules, and then give the proofs of its termination, soundness and completeness, respectively. Finally, we show that a unifiable set of equations has a most general unifier as a rational substitution. © 2018 IEEE Computer Society. All Rights Reserved.

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Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal

arXiv

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arXiv 2020年

作者： García-Cuesta, Esteban Data Science Laboratory Faculty of Architecture Engineering and Design Universidad Europea de Madrid C/Tajo S/N Villaviciosa de Odón28670 Spain

Nowadays technology is being adopted on every aspect of our lives and it is one of most important transformation driver in industry. Moreover, many of the systems and digital services that we use daily rely on artificial intelligent technology capable of modeling social or individual behaviors that in turns also modify personal decisions and actions. In this paper, we briefly discuss, from a technological perspective, a number of critical issues including the purpose of promoting trust and ensure social benefit by the proper use of Artificial Intelligent Systems. To achieve this goal we propose a generic ethical technological framework as a first attempt to define a common context towards developing real engineering ethical by design. We hope that this initial proposal to be useful for early adopters and especially for standardization teams. Copyright © 2020, The Authors. All rights reserved.

关键词： Ethical technology

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Experimental Study on the Zebra Crossing Behavior of Mixed Bicycles and Pedestrians

SSRN

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SSRN 2022年

作者： Ma, Jian Wang, Qiao Chen, Juan Jiang, Rui Song, Weiguo Li, Ruoyu Lian, Liping School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu610031 China Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Chengdu610031 China Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Ministry of Transport Beijing Jiaotong University Beijing100044 China State Key Laboratory of Fire Science University of Science and Technology of China Hefei230027 China School of Urban Planning and Design Peking University Shenzhen Graduate School School of Architectural Engineering Shenzhen Polytechnic Shenzhen518055 China

Slow transportation mode, consisting of walking and cycling, plays an important role in urban traffic system. Based on the fact that bicycles and pedestrians often share the common road facility, we conducted bicycle-pedestrian mixed flow experiments to investigate the interaction effect among individuals in a 10 m-long, 3 m-wide passageway, mimicking the zebra crossing area. The goal is to explore the influence of bicycles proportion ( p ) on traffic efficiency and investigate the spatial distribution of agents in the mixed flow. Our analyses showed that the increase of bicycle proportion results in longer passing time and less travel time because of large personal space requirements of cyclists. When the bicycle proportion is small or large, the majority pedestrians (bicycles) were divided into several parts by minor bicycles (pedestrians) along the motion direction. We also recorded the following- and lateral- distance between two nearest individuals to calculate the theoretical formula of the passing time for unidirectional bicycle-pedestrian mixed flow based on the existing formula. Comparing the passing time between numerical calculation and experimental data, the effect coefficients for bicycle and pedestrian were obtained. Focusing on the overtaking bicycles, the through gap, lateral and headway distance that decide the overtaking behavior were analyzed. These findings are the first step toward the development of bicycle-pedestrian mixed flow on zebra crossing, which is contribute to provide practical implications for the planning and design of bicycle and pedestrian shared infrastructures. © 2022, The Authors. All rights reserved.

关键词： Travel time

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Experimental Study on the Zebra Crossing Behavior of Mixed Bicycles and Pedestrians

SSRN

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SSRN 2022年

关键词： Travel time

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Impact of Cation Vacancies on Leakage Current on TiN/ZrO2/TiN Capacitors Studied by Positron Annihilation

Impact of Cation Vacancies on Leakage Current on TiN/ZrO2/Ti...

引用

Joint e-Manufacturing and design Collaboration Symposium (eMDC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Akira Uedono Naomichi Takahashi Ryu Hasunuma Yosuke Harashima Yasuteru Shigeta Zeyuan Ni Hidefumi Matsui Akira Notake Atsushi Kubo Tsuyoshi Moriya Koji Michishio Nagayasu Oshima Shoji Ishibashi Faculty of Pure and Applied Science University of Tsukuba Tsukuba Ibaraki Japan Graduate School of Science and Technology Nara Institute of Science and Technology Ikoma Nara Japan S-Technology Development Center Tokyo Electron Technology Solutions Ltd. Nirasaki Yamanashi Japan SDC AI Development Department Tokyo Electron Ltd. Sapporo Hokkaido Japan Advanced Data Planning Department Tokyo Electron Ltd. Tokyo Japan Research Institute for Measurement and Analytical Instrumentation National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Research Center for Computational Design of Advanced Functional Materials National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan

ISBN: (纸本)9781665471343

TiN/ZrO 2 /TiN capacitors were characterized using XRD, STEM, EDX, and monoenergetic positron beams. For an as-deposited ZrO 2 layer, an interlayer was formed in the layer. After post-deposition annealing at 550°C, the width of the interlayer expanded. The major vacancy-type defects in the ZrO 2 layer were determined to be a Zr-vacancy coupled with oxygen vacancies by the positron annihilation technique. After annealing, the size of these vacancies increased. The presence of the cation vacancies and their complexes in the ZrO 2 layer suggests that not only oxygen vacancies but also such defects play a role in the defect formation of the ZrO 2 layer and affect its electrical properties.

关键词： Annealing X-ray scattering Capacitors Positrons Semiconductor device manufacture Leakage currents

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Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

arXiv

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arXiv 2024年

作者： Jin, Qiangguo Huang, Jiapeng Sun, Changming Cui, Hui Xuan, Ping Su, Ran Wei, Leyi Wu, Yu-Jie Wu, Chia-An Duh, Henry B.L. Lu, Yueh-Hsun School of Software Northwestern Polytechnical University Shaanxi China Yangtze River Delta Research Institute of NPU Suzhou China CSIRO Data61 Sydney Australia Department of Computer Science and Information Technology La Trobe University Melbourne Australia School of Engineering Shantou University Guangdong China College of Intelligence and Computing Tianjin University Tianjin China School of Information Xiamen University Xiamen China AIDD Faculty of Applied Science Macao Polytechnic University China Department of Radiology Shuang-Ho Hospital Taipei Medical University Taipei Taiwan Master of Public Health Program National Yang Ming Chiao Tung University Taipei Taiwan School of Design The Hong Kong Polytechnic University Hong Kong Department of Radiology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan

The precise diagnosis of urinary stones is crucial for devising effective treatment strategies. The diagnostic process, however, is often complicated by the low contrast between stones and surrounding tissues, as well as the variability in stone locations across different patients. To address this issue, we propose a novel location embedding based pairwise distance learning network (LEPD-Net) that leverages low-dose abdominal X-ray imaging combined with location information for the fine-grained diagnosis of urinary stones. LEPD-Net enhances the representation of stone-related features through context-aware region enhancement, incorporates critical location knowledge via stone location embedding, and achieves recognition of fine-grained objects with our innovative fine-grained pairwise distance learning. Additionally, we have established an in-house dataset on urinary tract stones to demonstrate the effectiveness of our proposed approach. Comprehensive experiments conducted on this dataset reveal that our framework significantly surpasses existing state-of-the-art methods. Copyright © 2024, The Authors. All rights reserved.

关键词： Embeddings

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Collaboration between government and research community to respond to covid-19: Israel’s case

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Journal of Open Innovation: Technology, Market, and Complexity 2021年第4期7卷

作者： Peleg, Mor Reichman, Amnon Shachar, Sivan Gadot, Tamir Tsadok, Meytal Avgil Azaria, Maya Dunkelman, Orr Hassid, Shiri Partem, Daniella Shmailov, Maya Yom-Tov, Elad Cohen, Roy Data Science Research Center The University of Haifa Haifa 3498838 Israel Faculty of Law and The Center for Cyber Law & Policy The University of Haifa Haifa 3498838 Israel Timna-Big Data Platform Unit Ministry of Health Jerusalem 9446724 Israel The Center for the 4th Industrial Revolution Israel innovation Authority Jerusalem 9695102 Israel Master in Design Department Shenkar College of Engineering and Design Ramat Gan 5252626 Israel Microsoft Research Herzeliya 4672415 Israel

Triggered by the COVID-19 crisis, Israel’s Ministry of Health (MoH) held a virtual data-thon based on deidentified governmental data. Organized by a multidisciplinary committee, Israel’s research community was invited to offer insights to help solve COVID-19 policy challenges. The datathon was designed to develop operationalizable data-driven models to address COVID-19 health policy challenges. Specific relevant challenges were defined and diverse, reliable, up-to-date, deidentified governmental datasets were extracted and tested. Secure remote-access research envi-ronments were established. Registration was open to all citizens. Around a third of the applicants were accepted, and they were teamed to balance areas of expertise and represent all sectors of the community. Anonymous surveys for participants and mentors were distributed to assess usefulness and points for improvement and retention for future datathons. The datathon included 18 multi-disciplinary teams, mentored by 20 data scientists, 6 epidemiologists, 5 presentation mentors, and 12 judges. The insights developed by the three winning teams are currently considered by the MoH as potential data science methods relevant for national policies. Based on participants’ feedback, the process for future data-driven regulatory responses for health crises was improved. Participants expressed increased trust in the MoH and readiness to work with the government on these or future projects. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

关键词： COVID-19 data datathon Emergency management Evidence-based regulation Hackathon Health policy Innovative regulation, privacy Open innovation Public confidence Public engagement Public-private interface Trust of experts

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