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arXiv 2023年

作者： Zhang, Yucheng Fukuda, Masaki Ishii, Yasunori Ohshima, Kyoko Yamashita, Takayoshi R&D Division Panasonic Automotive Systems Co. Ltd Yokohama City Japan Technology Division Panasonic Holdings Co. Ltd Osaka City Japan Department of Computer Science Chubu University Kasugai City Japan

3d object detection has become indispensable in the field of autonomous driving. To date, gratifying breakthroughs have been recorded in 3d object detection research, attributed to deep learning. However, deep learning algorithms are data-driven and require large amounts of annotated point cloud data for training and evaluation. Unlike 2d image labels, annotating point cloud data is difficult due to the limitations of sparsity, irregularity, and low resolution, which requires more manual work, and the annotation efficiency is much lower than 2d image. Therefore, we propose an annotation algorithm for point cloud data, which is pre-annotation and camera–LidAr late fusion algorithm to easily and accurately annotate. The contributions of this study are as follows. We propose (1) a pre-annotation algorithm that employs 3d object detection and auto fitting for the easy annotation of point clouds, (2) a camera–LidAr late fusion algorithm using 2d and 3d results for easily error checking, which helps annotators easily identify missing objects, and (3) a point cloud annotation evaluation pipeline to evaluate our experiments. The experimental results show that the proposed algorithm improves the annotating speed by 6.5 times and the annotation quality in terms of the 3d Intersection over Union and precision by 8.2 points and 5.6 points, respectively;additionally, the miss rate is reduced by 31.9 points. © 2023, CC BY-NC-SA.

关键词： Object detection

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Application of Various Nitriding Processes to Improve the Electrical resistance of Al-Added 52100 Bearing Steel

SSRN

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SSrN 2023年

作者： Choi, dong-Jun Ko, Yoon Seok Shim, Jae-Hyeok Lee, Young-Su Kang, Minwoo Kim, donghwi Han, Heung Nam Hong, Seung-Hyun Kim, dong-Ik and Technology Seoul02792 Korea Republic of Department of Materials Science and Engineering Research Institute of Advanced Materials Seoul National University Seoul08826 Korea Republic of Materials Research & Engineering Center R&D Division Automotive Hyundai Motor Group Uiwang-si16082 Korea Republic of

Two ASTM A295 52100 bearing steels with different concentrations of Al (0.02 and 1.90 wt %) were nitrided by three processes: pure nitriding (gas), oxynitriding (gas) and salt bath nitriding. To assess their electrical performance, the area-specific resistance (ASr) of the surface was measured by the four-point probe method. The microstructure of the surface layer was investigated by using X-ray diffraction (Xrd), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The results showed that the ASr of the non-nitrided sample was only approximately 0.005 Ω·㎠, but it became larger after all nitriding processes. Among the 0.02 wt% Al-added samples, the greatest ASr was approximately 30 Ω·㎠ for the sample nitrided in a salt bath, which can be ascribed to the large amount of oxides (Fe3O4) in the compound layer that exhibits higher electrical resistivity than other nitrides (Ε-Fe3N and γ′-Fe4N) observed in the pure or oxynitrided samples. Additionally, the addition of Al significantly increased the ASr in the salt bath nitrided sample, which indicated that the Al2O3 formed along the pores in the compound layer played an important role in improving the electrical resistance. © 2023, The Authors. All rights reserved.

关键词： Microstructure

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Correction: A Study on the driving Performance Analysis for Autonomous vehicles Through the real-road Field Operational Test Platform

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International Journal of Precision Engineering and Manufacturing 2024年第6期25卷 1-1页

作者： Lee, dong‑Whan Kim, Tae‑Lim Kwon, Seong‑Jin Vehicle Safety R&D Center Korea Automotive Technology Institute Daegu Republic of Korea Department of Automotive Engineering Yeungnam University Gyeongsan Republic of Korea

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Pyrolysis behaviour and kinetic analysis of waste polylactic acid composite reinforced with reed straw processing residue

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Carbon resources Conversion 2024年第3期7卷 74-83页

作者： Bo Chen Sen Ma Sachin Kumar Zhitong Yao Wanqi Feng Jianbo Zhao Xu Zhang di Cai Hui Cao Ian Watson Systems Power and Energy Research DivisionJames Watts School of EngineeringCollege of Science and EngineeringJames Watt SouthUniversity of GlasgowGlasgow G128QQUnited Kingdom College of Life Science and Technology Beijing University of Chemical TechnologyBeijing 100029PR China College of Energy State Key Laboratory of Physical Chemistry of Solid SurfacesXiamen UniversityXiamen 361102PR China Department of Energy Engineering Centre of Excellence-Green and Efficient Energy Technology(CoE-GEET)Central University of JharkhandRanchi 835205India College of Materials Science and Environmental Engineering Hangzhou Dianzi UniversityHangzhou 310018PR China College of Chemistry and Chemical Engineering Tarim UniversityAlarXinjiang 843300PR China National Energy R&D Center for Biorefinery Beijing University of Chemical TechnologyBeijing 100029PR China

The lignocellulose reinforced composites are commonly used sustainable materials with good mechanical and physical *** to properly dispose and recover the potential value of discarded lignocellulose reinforced composites,the pyrolysis behaviour and kinetics of reed straw processing residual/polylactic acid(rSPr/PLA)composites,a typical 3d printing material,was *** on the TG-FTIr results,the synergistic effects between rSPr and PLA during the pyrolysis process were *** with the FTIr spectra of PLA,the absorption peaks of CO and CO_(2)disappear in the FTIr spectra of rSPr/PLA composite,which indicates rSPr provides additional free radicals for the free radical reaction of PLA,and further promoting the *** apparent activation energy of the rSPr/PLA composite pyrolysis was calculated by two iso-conversional methods including Flynn-Wall-Ozawa(FWO)and Kissinger-Akahira-Sunose(KAS).The average Ea of the rSPr/PLA composite(122.6 kJ mol^(-1)(FWO)and 117.9 kJ mol^(-1)(KAS))was lower than that of solo pyrolysis of rSPr(138.5 kJ mol^(-1)(FWO)and 135.4 kJ mol^(-1)(KAS))and the pure PLA(197.0 kJ mol^(-1)(FWO)and 196.6 kJ mol^(-1)(KAS)).The master plot method results suggested the pyrolysis of rSPr/PLA composite followed the one-dimensional(d1)diffusion *** work provides an environmentally friendly strategy to effective thermo-chemical upgrading of the value of discarded lignocellulose reinforced composite material.

关键词： Biobased composite Pyrolysis conversion Synergy Bio-oil reaction kinetics

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research on HrI Evaluation System and diver Safety Equipment

Research on HRI Evaluation System and Diver Safety Equipment

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OCEANS

作者： Ye Jun Lee Min-Gyu Kim Myung-Jun Shin Tae Sung Park Jinhyung Kim Sunghun Kim Kichoon Lee Jihun Lee Jeongtack Min HRI(Human Robot Interaction) Research Center KIRO(Korea Institute of Robotics and Technology Convergence) Pohang South Korea Department of Rehabilitation Medicine Pusan National University Hospital and Pusan National University School of Medicine Busan South Korea Department of Convergence Medical Institute of Technology Pusan National University Hospital Busan South Korea Technical Research Center RNWare Co. Ltd Daegu South Korea System Development Division Gleam-Systems Daejeon South Korea Modeling and Simulation Division Gleam-Systems Daejeon South Korea Marine Leisure Equipment R&D Center KIRO(Korea Institute of Robotics and Technologh Convergence) Pohang South Korea

ISBN: (数字)9798331540081

ISBN: (纸本)9798331540098

Scuba diving is a common aquatic leisure sport that many individuals enjoy in the sea. With the increasing number of people participating, there is a corresponding rise in related incidents and accidents. Typically, such events are caused by inadequate user proficiency with equipment, sudden onset of physical symptoms, failure to respond to external obstacles, and equipment malfunctions. As interest in scuba diving grows, the development of diver safety equipment that enhances convenience and usability through the interaction between divers and equipment is crucial, not only to assist underwater activities but also to preemptively prevent accidents. This paper explores the analysis of divers' physiological conditions and diver equipment evaluation criteria. Building upon this, it proposes a HrI(Human-robot Interaction) evaluation system to facilitate the research and development of safety equipment for secure scuba diving operations.

关键词： Oceans Human-robot interaction Physiology Safety Personnel Usability robots research and development Accidents Sports

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Thermal resistance prediction model for IC packaging optimization and design cycle reduction

Thermal resistance prediction model for IC packaging optimiz...

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Electronic Components and Technology Conference (ECTC)

作者： Guan-Wei Chen Yan-Cheng Lin Chung-Hsiang Hsu Tang-Yuan Chen Chen-Chao Wang Chin-Pin Hung Hung-Kai Wang Institute of Innovative Semiconductor and Sustainable Manufacturing Nantinal Cheng – Kung University Tainan Taiwan Institute of Manufacturing Inforamtion and Systems Nantinal Cheng – Kung University Tainan Taiwan Department of Manufacturing Inforamtion and Systems Nantinal Cheng – Kung University Tainan Taiwan Group Corporate Research and Development Division Advanced Semiconductor Engineering Inc. Kaohsiung Taiwan Corporate R&D Center Advanced Semiconductor Engineering Inc. Kaohsiung Taiwan Advanced Semiconductor Engineering Inc. Kaohsiung Taiwan Department of Computer Science and Information Engineering Nantinal Cheng - Kung University Tainan Taiwan

ISBN: (数字)9798350375985

ISBN: (纸本)9798350375992

The development of highly reliable packaging products is paramount, as accurately predicting the thermal resistance values (Theta JA, JB, JC) of IC packages is crucial for calculating maximum power dissipation and mitigating self-heating effects. In this paper, we focus on the prediction and analysis of thermal resistance in packaged products. Traditionally, finite element methods (FEM) are used for simulations to predict thermal resistance. However, these simulations often employ idealized assumptions that may not align with real-world conditions. Furthermore, traditional simulation methods require substantial memory space and high-performance hardware, leading to significantly increased computation times as the complexity of the simulation increases, thereby extending the product verification timeline. Machine learning methods can effectively improve operational speed and reduce costs. This research utilizes datasets generated from past FEM simulations, testing various machine learning models, among which the Artificial Neural Network (ANN) models, a deep learning approach, yielded the best results. These models were then primarily employed for predicting the characteristics of packaged components. The findings indicate that the predicted results closely align with the FEM simulation data, with the percentage error in thermal resistance for QFN packages being less than 5%, thereby achieving structural optimization of packaged products and shortening the design cycle. Additionally, a user interface platform was developed to enhance research efficiency significantly. researchers simply need to select the desired packaging technology product and enter the structural parameters to generate predictive results and visual charts, making it accessible even for operators lacking programming skills. Ultimately, the goal is to achieve visual structural optimization and shorten the design cycle for IC packaged products, serving as a basis for future structural studies of prod

关键词： Visualization Thermal resistance Computational modeling Artificial neural networks Predictive models Packaging Electronic packaging thermal management

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Highly Elastic,Bioresorbable Polymeric Materials for Stretchable,Transient Electronic systems

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Nano-Micro Letters 2024年第6期16卷 1-13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 J.Bandodkar 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

Substrates or encapsulants in soft and stretchable formats are key components for transient,bioresorbable electronic systems;however,elastomeric polymers with desired mechanical and biochemical properties are very limited compared to nontransient ***,we introduce a bioresorbable elastomer,poly(glycolide-co-ε-caprolactone)(PGCL),that contains excellent material properties including high elongation-at-break(<1300%),resilience and toughness,and tunable dissolution *** of PGCLs as polymer matrices,in combination with conducing polymers,yields stretchable,conductive composites for degradable interconnects,sensors,and actuators,which can reliably function under external *** of device components with wireless modules demonstrates elastic,transient electronic suture system with on-demand drug delivery for rapid recovery of postsurgical wounds in soft,time-dynamic tissues.

关键词： Biodegradable elastomer Conductive polymer composites Biomedical device Transient electronics

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Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

Early detection and classification of bacterial colonies usi...

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Frontiers in Optics, FiO 2022

作者： Li, Yuzhu Liu, Tairan Koydemir, Hatice Ceylan Wang, Hongda O'riordan, Keelan Bai, Bijie Haga, Yuta Kobashi, Junji Tanaka, Hitoshi Tamaru, Takaya Yamaguchi, Kazunori Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los Angeles90095 United States University of California Los AngelesCA90095 United States Department of Biomedical Engineering Texas A&M University College StationTX77843 United States Center for Remote Health Technologies and Systems Texas A&M University College StationTX77843 United States Department of Physics and Astronomy University of California Los AngelesCA90095 United States System Development Department Research & Development Division Japan Display Inc. Kanagawa243-0432 Japan Device Development Department Research & Development Division Japan Display Inc. Chiba297-8622 Japan R&D Planning Department Research & Development Division Japan Display Inc. Tokyo105-0003 Japan Department of Surgery University of California Los AngelesCA90095 United States

We report a rapid, automated, portable and high-throughput bacterial colony detection and classification system using a thin-film-transistor array and deep learning, achieving >12 hours of time savings compared to ...

ISBN: (纸本)9781557528209

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development of dynamic Wireless Power Transfer System for vehicle Logistics robot

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IEEJ Transactions on Industry Applications 2022年第2期142卷 146-154页

作者： Shimizu, Osamu Hanabusa, Kazuyoshi Arasaki, Kota Gunji, daisuke Sakai, Yuto Ikeda, Hiromori Matsuoka, Fuminori Graduate School of Frontier Science The University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba277-8561 Japan Development Section 1 Energy Units Development Dept. Advanced Products Development Center Technology & Intellectual Property HQ TDK Corporation 2-15-7 Higashi-Ohwada Ichikawa Chiba272-8558 Japan R&D Division System Power Supply Department WPT Development Group TDK-Lambda Corporation 2-15-7 Higashi-Ohwada Ichikawa Chiba272-8558 Japan New Product Development Department Technical Research Office NSK Ltd. 1-5-50 Kugenumashimmei Fujisawa Kanagawa251-8501 Japan BR NEXT GENERATION LOGISTICS DIV. YUTO SAKAI SHINMEI INDUSTRY CO. Ltd. 3-20 Koromogahara Aichi Toyota471-0856 Japan Central Japan Business Dept. TOYOTA T&S CONSTRUCTION CO. LTD. 65 Kamekubi-cho Kamimukaida Aichi Toyota470-0375 Japan Strategy Planning & Administration Dept. Vehicle Logistics Div. TOYOTA MOTOR CORPORATION 1 Motomachi Aichi Toyotashi471-0854 Japan

Laborsaving is a major issue in production. In an automotive production line, a yard that is used as a temporary storage for vehicles before shipping. The vehicle-loading robot that operates autonomously has been proposed to automate the alignment of vehicles in the yard instead of human driving. In this study, the dynamic wireless power transfer system that includes the structure of the roadside for the vehicle-loaded robot is proposed. It is proven that the transmitter coil has enough durability for the load of the robot weight using simulation and actual measurement. It is also shown that the reinforcement bars of the road structure cause considerable eddy current loss even with stainless steel. This is similar to loss by coil resistance. This system achieves a 1.8 kW dynamic wireless power transfer with an automated coil detection system and a frequency control system, under factory conditions. 2022 The Institute of Electrical Engineers of Japan.

关键词： robots

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divergent Levels of Cd112 and INKA1 define a Subset of Human Hematopoietic Stem Cells That resists regenerative Stress to Preserve Stemness

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BLOOd 2020年 136卷 5-5页

作者： Kaufmann, Kerstin B. Zeng, Andy G. X. Coyaud, Etienne Prat, Laura Garcia Papalexi, Efthymia Laurent, Estelle M. N. Chan-Seng-Yue, Michelle Gan, Olga I. Pan, Kristele McLeod, Jessica L. Zandi, Sasan Takayanagi, Shin-Ichiro Satija, rahul raught, Brian Xie, Stephanie Zhi-Juan dick, John E. Princess Margaret Cancer Centre University Health Network (UHN) Toronto Canada Princess Margaret Cancer Centre University Health Network Toronto Canada New York Genome Center New York NY Center for Genomics and Systems Biology New York University New York PanCuRx Translational Research Initiative Ontario Institute for Cancer Research Toronto Canada Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Canada Cell Therapy Project R&D Division Kirin Holdings Company Limited Tokyo Japan

The first insight into the complexity of post-transplant in vivo dynamics of hematopoietic stem cells (HSC) in humans was only recently showcased by examining longitudinal clonal contributions in gene therapy patients. Initial blood reconstitution was achieved by short-term (ST-)HSC, but in the longer-term hematopoiesis originated from long-term (LT-)HSC that only became recruited after a latency phase of 1-2 years (Scala et al 2018). Thus, deciphering the mechanisms governing how LT-HSC might resist transplant mediated activation and/or respond to the varying hematopoietic demands that occur during homeostasis would be an important goal for improving HSC cell therapies. We previously linked INKA1(= C3orf54/FAM212A ) mediated PAK4 inhibition and reduced H4K16 acetylation (H4K16ac) to quiescence in human leukemia stem cells (Kaufmann, Blood 2019). Here, we interrogate the role of this signaling axis in normal human hematopoiesis. Immunostaining revealed distinct subsets defined by the dichotomy of INKA1 and H4K16ac within cord blood ST- and LT-HSC, mechanistically supported by BioId, chromatin fiber analysis and PLA data showing INKA1 interacting with the H4K16 deacetylase, SIrT1. Among quiescent LT-HSC, we found that the INKA1 high fraction (~10 % of LT-HSC) had the lowest CdK6 levels and represented LT-HSC in an alternative state of quiescence. We then used protein interaction (BioId) data to show that a shared interactor of INKA1 and PAK4, Cd112 could be used to sort for the subset of Cd112 low LT-HSC that was in this alternatively quiescent LT-HSC state (H4K16ac low , CdK6 low , CellrOX low ). Compared to primary cells, culture attenuates the strict dichotomy of INKA1 and H4K16ac but only in cells in which colocalization of PAK4 with both occurred, suggesting PAK4 interferes with SIrT1-INKA1 interaction thereby permitting H4K16 acetylation. In vitro time course analysis showed that H4K16ac and PAK4 levels preceded the upregulation of the G 0 -exit marker CdK6 imp

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