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International Conference on Unmanned Aircraft systems (ICUAS)

作者： Yoko Watanabe Augustin Manecy Alexandre Amiez Shin Aoki Sho Nagai Research engineers at Department of Information Processing and Systems ONERA - The French Aerospace Laboratory Toulouse France Research engineers at Applied Optics System Research Center / R&D Division RICOH Company Ltd. Ebina Japan

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

This paper presents an onboard vision/GNSS-integrated fault tolerant navigation system for aircraft final approach. The world-first long-range stereo camera system which captures an object and measures its distance up to 1 km has been developed, and implemented for runway feature detection. The navigation filter is designed based on time-delayed Error State Kalman filter for tightly coupling GNSS pseudo-range measurements with the stereo camera outputs. Then it is augmented with an integrity monitoring function for fault detection and protection level calculation. The whole navigation system has been evaluated on real sensor data sets, acquired on the ONErA experimental UAV, with GNSS fault emulation. The results show an improvement both in fault detectability and in navigation performance thanks to adding the stereo camera to the conventional GNSS navigation setup.

关键词： Cameras Aircraft navigation Aircraft Global navigation satellite system Feature extraction Estimation Image edge detection

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Engine-Map-Based Predictive Fuel-Efficient Control Strategies for a Group of Connected vehicles

引用

automotive Innovation 2018年第4期1卷 311-319页

作者： Lihong Qiu Lijun Qian Zoleikha Abdollahi Zhouwei Kong Pierluigi Pisu Changan Intelligent Vehicle R&D Institute Chongqing 401120China Department of Vehicle Engineering Hefei University of TechnologyHefei 230009China International Center for Automotive Research Clemson UniversityGreenville 29607USA

An engine-map-based predictive fuel-efficient control strategy for a group of connected vehicles is presented. A decentralizedmodel predictive control framework is formulated to predict the optimal velocity profile that compromises fuel economy andmobility while guaranteeing the safety of each vehicle. In the model predictive control framework, an engine-map-based fuelconsumption model is established by implementing a backward conventional vehicle model in the cost function. Moreover,the cost function is normalized by dividing each term by its reference value. An extra cost is added to the safety term when thedistance between adjacent vehicles drops to a critical value to guarantee vehicle safety, while another extra cost is consideredfor the velocity tracking term to prevent the violation of traffic rules. The results of simulation show the effectiveness of theproposed control method.

关键词： Model predictive control Connected vehicles Fuel-efficient control Engine map Intelligent transportation system

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Comparison between the Theoretical, Experimental and Numerical Thermal Conductivity of Composite Thermal Interface Materials using Copper Metal Foam

Comparison between the Theoretical, Experimental and Numeric...

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Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic systems (ITHErM)

作者： Shinya KAWAKITA Minami TErANISHI Yuki ISHIZAKA Kazuyoshi FUSHINOBU ECU Design Dept. Hitachi Automotive Systems Ltd. Hitachinaka Ibaraki Japan Center for Tech. Innovation -Production Engineering R&D Group Hitachi Ltd. Yokohama Kanagawa Japan Department of Mechanical Engineering Tokyo Institute of Technology Tokyo Japan

ISBN: (数字)9781728197647

ISBN: (纸本)9781728197654

In recent years, the heat generation value inside ECU has been increasing. So, thermal management is important to maintain the normal ECU operation. One of the means to improve the heat dissipation of ECU is to increase the thermal conductivity of TIM, which is mounted between the heat-generating component and the ECU housing. Generally, TIM used in ECU is composed of silicone resin and ceramic filler. That is, the metal fillers are not commonly used because there is a possibility of short circuit failure when scattered inside ECU. Now, we focused on open-cell copper metal foam, which has higher thermal conductivity than that of ceramics filler and doesn't scatter due to its networked structure. Furthermore, since the copper metal foam has low elasticity, it is expected that solder ball joint reliability will not be reduced even if it is mounted between the BGA component and the housing. In this paper, the thermal conductivity difference among the experimental, theoretical and numerical value was within ± 1.1 W/(m·K). From these results, it was inferred that the thermal conductivity of copper metal foam used in the modified theoretical model is due to the metal foam structure used in this study.

关键词： Thermal conductivity Conductivity Metal foam Copper Thermal resistance Heating systems Numerical models

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A Simple Mathematical Model for Establishing Isothermal Transformation Kinetics from Continuous Cooling data

SSRN

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SSrN 2020年

作者： Kim, Jeong Min Kang, Minwoo Goo, Nam Hoon Hong, Seung-Hyun Shim, Jae-Hyeok Lee, Young-Kook Lee, Kyung Jong Division of Materials Science and Engineering Hanyang University Seoul04763 Korea Republic of Center for Energy Materials Research Korea Institute of Science and Technology Seoul02792 Korea Republic of Metallic Materials Research Lab. Automotive Research and Development Division Hyundai Motor Group Gyeonggi18280 Korea Republic of R&D Center Hyundai Steel Company Chungnam31719 Korea Republic of Department of Materials Science and Engineering Yonsei University Seoul03722 Korea Republic of

A simple mathematical model for establishing isothermal transformation kinetics from continuous cooling transformation data is presented. A new regression function of k, which is a reaction parameter of the Johnson-Mehl-Avrami equation is proposed. The isothermal transformation kinetics of austenite-pearlite transformation in a eutectoid steel is converted from continuous cooling transformation data using the regression function in combination with the inverse additivity rule. The converted isothermal transformation kinetics excellently agrees with experimental results irrespective of temperature, showing a big improvement compared with a previous model. © 2020, The Authors. All rights reserved.

关键词： Kinetics

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data-driven Key Performance Indicators and datasets for Building Energy Flexibility: A review and Perspectives

arXiv

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arXiv 2022年

作者： Li, Han Johra, Hicham de Andrade Pereira, Flavia Hong, Tianzhen Le dréau, Jérôme Maturo, Anthony Wei, Mingjun Liu, Yapan Saberi-derakhtenjani, Ali Nagy, Zoltan Marszal-Pomianowska, Anna Finn, donal Miyata, Shohei Kaspar, Kathryn Nweye, Kingsley O’Neill, Zheng Pallonetto, Fabiano dong, Bing Lawrence Berkeley National Laboratory Building Technology and Urban Systems Division BerkeleyCA United States Aalborg University Department of the Built Environment Thomas Manns Vej 23 Aalborg ØDK-9220 Denmark University College Dublin Energy Institute School of Mechanical & Materials Engineering Dublin Ireland CARTIF Technology Center Energy Division Valladolid Spain La Rochelle University LaSIE UMR CNRS 7356 La Rochelle France Concordia University Centre for Zero Energy Building Studies Montreal Canada Texas A&M University J. Mike Walker’66 Department of Mechanical Engineering College StationTX United States Syracuse University Department of Mechanical and Aerospace Engineering 223 Link Hall SyracuseNY13244 United States Dubai Electricity and Water Authority DEWA R&D Centre Dubai United Arab Emirates Department of Civil Architectural and Environmental Engineering University of Texas AustinTX United States The University of Tokyo Department of Architecture Tokyo Japan Concordia University Department of Building Civil and Environmental Engineering MontrealQC Canada Maynooth University Hamilton Institute Maynooth Ireland

Energy flexibility, through short-term demand-side management (dSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different energy grids with the energy demand of buildings. This is especially important when considering the intermittent nature of ever-growing renewable energy production, as well as the increasing dynamics of electricity demand in buildings. This paper provides a holistic review of (1) data-driven energy flexibility key performance indicators (KPIs) for buildings in the operational phase and (2) open datasets that can be used for testing energy flexibility KPIs. The review identifies a total of 48 data-driven energy flexibility KPIs from 87 recent and relevant publications. These KPIs were categorized and analyzed according to their type, complexity, scope, key stakeholders, data requirement, baseline requirement, resolution, and popularity. Moreover, 330 building datasets were collected and evaluated. Of those, 16 were deemed adequate to feature building performing demand response or building-to-grid (B2G) services. The dSM strategy, building scope, grid type, control strategy, needed data features, and usability of these selected 16 datasets were analyzed. This review reveals future opportunities to address limitations in the existing literature: (1) developing new data-driven methodologies to specifically evaluate different energy flexibility strategies and B2G services of existing buildings;(2) developing baseline-free KPIs that could be calculated from easily accessible building sensors and meter data;(3) devoting non-engineering efforts to promote building energy flexibility, standardizing data-driven energy flexibility quantification and verification processes;and (4) curating and analyzing datasets with proper description for energy flexibility assessments. © 2022, CC BY.

关键词： demand side management

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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXr-LT challenge

arXiv

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arXiv 2023年

作者： Holste, Gregory Zhou, Yiliang Wang, Song Jaiswal, Ajay Lin, Mingquan Zhuge, Sherry Yang, Yuzhe Kim, dongkyun Nguyen-Mau, Trong-Hieu Tran, Minh-Triet Jeong, Jaehyup Park, Wongi ryu, Jongbin Hong, Feng Verma, Arsh Yamagishi, Yosuke Kim, Changhyun Seo, Hyeryeong Kang, Myungjoo Celi, Leo Anthony Lu, Zhiyong Summers, ronald M. Shih, George Wang, Zhangyang Peng, Yifan Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Department of Population Health Sciences Weill Cornell Medicine New YorkNY10065 United States School of Information Systems Carnegie Mellon University PittsburghPA15213 United States Department of Electrical Engineering and Computer Science Massachussetts Institute of Technology CambridgeMA02139 United States School of Computer Science Carnegie Mellon University PittsburghPA15213 United States University of Science VNU-HCM Ho Chi Minh City70000 Viet Nam KT Research & Development Center KT Corporation Seoul06763 Korea Republic of Department of Software and Computer Engineering Ajou University Suwon16499 Korea Republic of Cooperative Medianet Innovation Center Shanghai Jiao Tong University Shanghai200240 China Wadhwani Institute for Artificial Intelligence Mumbai400079 India Division of Radiology and Biomedical Engineering Graduate School of Medicine The University of Tokyo Tokyo113-0033 Japan BioMedical AI Team AIX Future R&D Center SK Telecom Seoul04539 Korea Republic of Seoul National University Seoul02504 Korea Republic of Department of Mathematical Sciences Seoul National University Seoul02504 Korea Republic of Laboratory for Computational Physiology Massachusetts Institute of Technology CambridgeMA02139 United States Division of Pulmonary Critical Care and Sleep Medicine Beth Israel Deaconess Medical Center BostonMA02215 United States Department of Biostatistics Harvard T.H. Chan School of Public Health BostonMA02115 United States National Center for Biotechnology Information National Library of Medicine BethesdaMD20894 United States Clinical Center National Institutes of Health BethesdaMD20892 United States Department of Radiology Weill Cornell Medicine New YorkNY10065 United States

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" – there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a long-tailed and multi-label problem, as patients often present with multiple findings simultaneously. While researchers have begun to study the problem of long-tailed learning in medical image recognition, few have studied the interaction of label imbalance and label co-occurrence posed by long-tailed, multi-label disease classification. To engage with the research community on this emerging topic, we conducted an open challenge, CXr-LT, on long-tailed, multi-label thorax disease classification from chest X-rays (CXrs). We publicly release a large-scale benchmark dataset of over 350,000 CXrs, each labeled with at least one of 26 clinical findings following a long-tailed distribution. We synthesize common themes of top-performing solutions, providing practical recommendations for long-tailed, multi-label medical image classification. Finally, we use these insights to propose a path forward involving vision-language foundation models for few- and zero-shot disease classification. © 2023, CC BY-NC-SA.

关键词： Computer aided diagnosis

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Biomarkers of aging

引用

Science China(Life Sciences) 2023年第5期66卷 893-1066页

作者： Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing dingfeng Li Jiaming Li Jingyi Li Qinhao Liang rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen ding Qiurong ding Feng Gao Jing-dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie ren ruibao ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie daichao Xu Jing Ye rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu Aging Biomarker Consortium(ABC) Beijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China Department of Dermatology Xiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Aging Biology Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China Clinic Center of Human Gene Research Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Clinical Research Center of Metabolic and Cardiovascular Disease Huazhong University of Science and TechnologyWuhan 430022China Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging Huazhong University of Science and TechnologyWuhan 430022China Stem Cell Translational Research Center Tongji HospitalTongji University School of MedicineShanghai 200065China Department of Nuclear Medicine Daping HospitalThird Military Medical UniversityChongqing 400042China CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China The Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Key Laboratory of Regenerative Medicine of Ministry of Education Institute of Ageing and Regenerative MedicineJ

Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological *** a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly *** immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this ***,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory *** fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.

关键词： aging senescence biomarker clock

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Flexural impact propeties and fracture behaviors of continuous and discontinuous random reinforced thermoplastic CFrP 22

Flexural impact propeties and fracture behaviors of continuo...

引用

22nd International Conference on Composite Materials, ICCM 2019

作者： Yano, Fumiaki Kamei, Yuki Ishikawa, Takeshi Matsuo, Tsuyoshi Global Application Development Center Analytical and Measuring Instruments Division Shimadzu Corporation 1 Nishinokyo Kuwabara-cho Nakagyo-ku Kyoto604-8511 Japan Global Application Development Center Analytical and Measuring Instruments Division Shimadzu Corporation 1 Nishinokyo Kuwabara-cho Nakagyo-ku Kyoto604-8511 Japan Advanced Moldings and Composites Laboratory Aichi R&D Center Mitsubishi Chemical Corporation 1-2 Ushikawadori 4-chome Toyohashi-shi Aichi440-8601 Japan Department of Systems Innovation School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8654 Japan

Carbon fiber reinforced thermoplastic composites (CFrTP), which combine high performance and high productivity, are expected to be applied to transport vehicles, and it becomes more and more important to understand impact characteristics and temperature characteristics to guarantee their performance. In this study, 3-point bending impact test was performed at various strain-rate and temperature conditions in order to evaluate strain-rate and temperature dependence of three kinds of CFrTP made from the same matrix resin and the same carbon fiber but different type of reinforcement configuration. In addition, fracture observation by using a high speed video camera and fractography were also conducted. As a result of 3-point bending impact test, it was confirmed that the flexural strength and flexural modulus in every CFrTP tend to show lower values at lower strain-rate and higher temperature and higher values at higher strain-rate and lower temperature. It was also confirmed that the starting point of fracture or the state of fracture surface changed depending on test condition. However, the tendencies of flexural properties as functions of strain-rate and temperature were different for each material, and the effect of the reinforcement configuration on strain-rate and temperature dependence was clarified. © 2019 International Committee on Composite Materials. All rights reserved.

关键词： Fracture

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Publisher Correction to:Highly Elastic,Bioresorbable Polymeric Materials for Stretchable,Transient Electronic systems

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Nano-Micro Letters 2024年第8期16卷 417-417页

作者： Jeong‑Woong Shin dong‑Je Kim Tae‑Min Jang Won Bae Han Joong Hoon Lee Gwan‑Jin Ko Seung Min Yang Kaveti rajaram Sungkeun Han Heeseok Kang Jun Hyeon Lim Chan‑Hwi Eom Amay JBandodkar Hanul Min Suk‑Won Hwang KU‑KIST Graduate School of Converging Science and Technology Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea SK Hynix 2091Gyeongchung‑daeroBubal‑eupIcheon‑siGyeonggi‑do 17336Republic of Korea Hanwha Systems Co. Ltd.188Pangyoyeok‑roBundang‑guSeongnam‑siGyeonggi‑do 13524Republic of Korea Department of Electrical and Computer Engineering North Carolina State UniversityRaleighNC 27606USA Center for Advanced Self‑Powered Systems of Integrated Sensors and Technologies(ASSIST) North Carolina State UniversityRaleighNC 27606USA Department of Integrative Energy Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea Biomaterials Research Center Korea Institute of Science and Technology(KIST)5 Hwarang‑ro 14‑gilSeongbuk‑guSeoul 02792Republic of Korea Semiconductor R&D Center Samsung Electronics Co.Ltd.Hwaseong‑siGyeonggi‑do 18448Republic of Korea Center for Advanced Biomolecular Recognition Biomedical Research DivisionKorea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea

due to typesetting mistake,Hanul Min was missed to be denoted as a corresponding author in the *** type-setter apologizes for *** original article has been *** Access This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons licence,and indicate if changes were *** images or other third party material in this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the *** material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use,you will need to obtain permission directly from the copyright holder.

关键词： Creative Elastic Highly

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Corrigendum: "Analysis of hot carrier instability in a floating body cell" [Jpn. J. Appl. Phys. 63, 094002 (2024)]

引用

Japanese Journal of Applied Physics 2024年第11期63卷 119301-119301页

作者： Hiroomi Nakajima Tomoaki Shino Hironobu Furuhashi Jun Nishimura Tomoki Higashi Katsuyuki Fujita Kosuke Hatsuda ryo Fukuda Takeshi Kajiyama Memory Development Strategy Group2 Memory Development Strategy Division KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan File Memory Device Peripheral Element Development Group File Memory Device Engineering Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Advanced Memory Development Center KIOXIA Corporation 800 Yamanoissiki-Cho Yokkaichi Mie-Pref. 510-0906 Japan Memory Device Engineering Department KIOXIA Systems Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan Circuit Technology Research Department AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Memory Design Group 4 Memory Design Department 2 Memory Design Managing Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan

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