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IEEE/SICE International Symposium on System Integration

作者： Yuhei Oshikubo Sarthak Pathak Yonghoon Ji Kazunori Umeda Precision Engineering Course Graduate School of Science and Engineering Chuo University Tokyo Japan Department of Precision Mechanics Faculty of Science and Engineering Chuo University Tokyo Japan Graduate School for Advanced Science and Technology Japan Advanced Institute of Science and Technology Nomi-shi Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

In this paper, a novel framework for real-time localization through pre-built map update by 3D LiDAR mounted on a robot is proposed. Autonomous mobile robots usually use high-precision 3D maps (i.e., HD maps) built in advance. However, as time passes, the environmental map changes from the actual environment, adversely affecting autonomous navigation. In addition, it is costly to recreate an HD map every time the environment changes. Therefore, it is necessary to update environmental maps simply and frequently. We propose a method for real-time map updating in the form of point clouds and validate the results of integrating map update with localization.

关键词： Point cloud compression Location awareness Three-dimensional displays Laser radar System integration Real-time systems Reliability Mobile robots Autonomous robots

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Development of BiFeO3-based multiferroic thin films with large saturation magnetization and perpendicular magnetic anisotropy-The effect of the Co substitution against Fe on magnetic properties-

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Journal of the Magnetics Society of Japan 2022年第3期46卷 64-69页

作者： Ozeki, T. Yamamoto, D. Egawa, G. Yoshimura, S. Department of Materials Science Graduate School of Engineering Science Akita University 1-1 TegataGakuen-machi Akita Akita010-8502 Japan Research Center of Advanced Materials for Breakthrough Technology Graduate School of Engineering Science Akita University 1-1 TegataGakuen-machi Akita Akita010-8502 Japan

High saturation magnetization and perpendicular magnetic anisotropy are required for ferromagnetic / ferroelectric thin films to apply magnetic recording such as magnetic writing elements of magnetic wire memory, which is a next-generation device with very high recording density. To realize the magnetic properties, substitution of Co against Fe in (Bi1-xBax)FeO3 and (Bi1-xLax)FeO3 thin films were investigated. In the (Bi,Ba)(Fe,Co)O3 thin films, both Ba and Co substitution up to several tens at% had contribution to increase the saturation magnetization. The high saturation magnetization was obtained in (Bi,Ba)(Fe,Co)O3 thin films with the total composition of Ba and Co of around 60 at%. Further increment of Ba and Co substitution decreased the saturation magnetization because the formation of the BiFeO3 phase is hindered by an excess amount of Ba and Co with larger ion radius than Bi and Fe. Co substitution up to 20 at% had contribution to increase the perpendicular magnetic anisotropy. In the (Bi,La)(Fe,Co)O3 thin films, the effect of La substitution was not large to increase the saturation magnetization and perpendicular magnetic anisotropy, however the effect of Co substitution up to 30 at% was large to increase the saturation magnetization and perpendicular magnetic anisotropy. © 2022, Magnetics Society of Japan. All rights reserved.

关键词： Thin films

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Breaking the symmetry of colloidal 2D nanoplatelets:Twist induced quantum coupling

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Nano Research 2023年第7期16卷 10522-10529页

作者： Zahid Nazir Yingzhuo Lun Jialu Li Gaoling Yang Mingrui Liu Shuqi Li Gang Tang Guofeng Zhang Jiawang Hong Liantuan Xiao Haizheng Zhong MIIT Key Laboratory for Low-dimensional Quantum Structure and Devices School of Materials Science&EngineeringBeijing Institute of TechnologyBeijing 100081China MIIT Key Laboratory for Low-dimensional Quantum Structure and Devices School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyCollaborative Innovation Center of Extreme OpticsShanxi UniversityTaiyuan 030006China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China

Twist provides a new degree of freedom for nanomaterial modifications,which can provide novel physical ***,colloidal two-dimensional(2D)twisted CdSe nanoplatelets(NPLs)are successfully fabricated and their morphology can change from totally flat to edge-twisted,and then to middle-twisted with prolonged reaction *** combining experiments and corresponding theoretical analyses,we have established the length-dependent relationships between the surface energy and twist,with a critical lateral dimension of 30 *** found that the defects formed during the synthesis process play a vital role in generating intense stress that develops a strong torsion tensor around the edges,resulting in edge-twisted and final middletwisted ***,due to the geometric asymmetry of twisted NPLs,the dissymmetry factor of single particle NPLs can reach up to ***,quantum coupling occurs in middle-twisted NPLs by twisting one parent NPL into two daughter NPLs,which are structurally and electronically *** work not only further deepens our understanding of the twist mechanism of 2D NPLs during colloidal synthesis,but also opens a pathway for applications using twistronics and quantum technology.

关键词： nanoplatelets CdSe twist circular dichroism quantum coupling

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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke:development and validation of a hybrid machine learning model

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Stroke & Vascular Neurology 2024年第6期9卷 631-639页

作者： Ximing Nie Jinxu Yang Xinxin Li Tianming Zhan Dongdong Liu Hongyi Yan Yufei Wei Xiran Liu Jiaping Chen Guoyang Gong Zhenzhou Wu Zhonghua Yang Miao Wen Weibin Gu Yuesong Pan Yong Jiang Xia Meng Tao Liu Jian Cheng Zixiao Li Zhongrong Miao Liping Liu Department of Neurology Capital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases Beijing Tiantan HospitalBeijingChina School of Computer and Communication Engineering University of Science and TechnologyBeijingChina Department of Radiology Beijing Tiantan HospitalBeijingChina Key Laboratory of Biomechanics and Mechanobiology Ministry of EducationSchool of Biological Science and Medical Engineering International Research Institute for Multidisciplinary ScienceBeihang UniversityBeijingChina Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Computer Science and EngineeringBeihang UniversityBeijingChina Department of Interventional Neuroradiology Beijing Tiantan HospitalCapital Medical UniversityBeijingChina

Background Identification of futile recanalisation following endovascular therapy(EVT)in patients with acute ischaemic stroke is both crucial and ***,we present a novel risk stratification system based on hybrid machine learning method for predicting futile *** Hybrid machine learning models were developed to address six clinical scenarios within the EVT and perioperative management *** models were trained on a prospective database using hybrid feature selection technique to predict futile recanalisation following *** optimal model was validated and compared with existing models and scoring systems in a multicentre prospective cohort to develop a hybrid machine learning-based risk stratification system for futile recanalisation *** Using a hybrid feature selection approach,we trained and tested multiple classifiers on two independent patient cohorts(n=1122)to develop a hybrid machine learning-based prediction *** model demonstrated superior discriminative ability compared with other models and scoring systems(area under the curve=0.80,95%CI 0.73 to 0.87)and was transformed into a web application(RESCUE-FR Index)that provides a risk stratification system for individual prediction(accessible online atfr-index.biomind.cn/RESCUE-FR/).Conclusions The proposed hybrid machine learning approach could be used as an individualised risk prediction model to facilitate adherence to clinical practice guidelines and shared decision-making for optimal candidate selection and prognosis assessment in patients undergoing EVT.

关键词： database prediction optimal

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The chemical origin of temperature-dependent lithium-ion concerted diffusion in sulfide solid electrolyte Li_(10)GeP_(2)S_(12)

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Journal of Energy Chemistry 2022年第7期31卷 59-66,I0003页

作者： Zhong-Heng Fu Xiang Chen Nan Yao Xin Shen Xia-Xia Ma Shuai Feng Shuhao Wang Rui Zhang Linfeng Zhang Qiang Zhang Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China College of Chemistry and Chemical Engineering Taishan UniversityTaian 271021ShandongChina School of Chemistry The University of New South WalesSydneyNSW 2052Australia School of Materials Science and Engineering&Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing Institute of TechnologyBeijing 100081China DP Technology Beijing 100080China AI for Science Institute Beijing 100080Chin

Solid-state batteries have received increasing attention in scientific and industrial communities,which benefits from the intrinsically safe solid electrolytes(SEs).Although much effort has been devoted to designing SEs with high ionic conductivities,it is extremely difficult to fully understand the ionic diffusion mechanisms in SEs through conventional experimental and theoretical ***,the temperature-dependent concerted diffusion mechanism of ions in SEs is explored through machinelearning molecular dynamics,taking Li_(10)GeP_(2)S_(12) as a *** diffusion anisotropy,more disordered Li distributions,and shorter residence time are observed at a higher ***-type temperature dependence is maintained within a wide temperature range,which is attributed to the linear temperature dependence of jump frequencies of various concerted diffusion *** results provide a theoretical framework to understand the ionic diffusion mechanisms in SEs and deepen the understanding of the chemical origin of temperature-dependent concerted diffusions in SEs.

关键词： Solid-state batteries Solid electrolytes Concerted diffusion Machine-learning molecular dynamics

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Visual SLAM-based Vehicle Control for Autonomous Valet Parking

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IEIE Transactions on Smart Processing and Computing 2022年第2期11卷 119-125页

作者： Jo, Younggon Hong, Seokhyeon Ha, Jeongmok Hwang, Sungsoo Algorithm Team VADAS Co. Ltd. Pohang Korea Republic of Graduate School of Culture Technology Korea Advanced Institute of Science and Technology Daejeon Korea Republic of School of Computer Science and Electrical Engineering Handong University Pohang Korea Republic of

This research proposes an efficient vehicle control method using visual SLAM (Simultaneous Localization And Mapping) for AVP (Autonomous Valet Parking). SLAM technology generates a map of the surrounding environment and localizes the vehicle within the map. It is used to identify the layout of the parking lot and track the vehicle by using camera sensors only. In the proposed system, an autonomous driving vehicle is controlled using the coordinates of the keyframe on the visual SLAM map. The vehicle is driven by determining the keyframe in the movable position during the autonomous driving process. This driving procedure is possible because the coordinates of the vehicle and the keyframe can be estimated through the SLAM map. However, the SLAM map, generated using features of the surrounding environment, is likely to change scale while driving due to feature matching errors. Therefore, the system proposes to update the initial scale using the time the vehicle has moved and the changes in vehicle coordinates on the SLAM map. The tracking success rate of autonomous driving and the success rate of autonomous parking were measured to evaluate the performance of the proposed system. The experimental results indicate that autonomous valet parking can be achieved using visual SLAM. © 2022 The Institute of Electronics and Information Engineers.

关键词： Motion planning

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Deep learning-based virtual staining,segmentation,and classification in label-free photoacoustic histology of human specimens

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Light(science & Applications) 2024年第10期13卷 2353-2366页

作者： Chiho Yoon Eunwoo Park Sampa Misra Jin Young Kim Jin Woo Baik Kwang Gi Kim Chan Kwon Jung Chulhong Kim Departments of Electrical Engineering Convergence IT EngineeringMechanical EngineeringMedical Science and EngineeringGraduate School of Artificial Intelligenceand Medical Device Innovation CenterPohang University of Science and Technology(POSTECH)PohangRepublic of Korea Opticho Inc. PohangRepublic of Korea Department of Health Sciences and Technology Gachon Advanced Institute for Health Sciences and Technology(GAIHST)Gachon UniversityIncheonRepublic of Korea Cancer Research Institute College of MedicineThe Catholic University of KoreaSeoulRepublic of Korea Department of Hospital Pathology Seoul St.Mary’s HospitalCollege of MedicineThe Catholic University of KoreaSeoulRepublic of Korea

In pathological diagnostics,histological images highlight the oncological features of excised specimens,but they require laborious and costly staining *** recent innovations in label-free microscopy that simplify complex staining procedures,technical limitations and inadequate histological visualization are still problems in clinical ***,we demonstrate an interconnected deep learning(DL)-based framework for performing automated virtual staining,segmentation,and classification in label-free photoacoustic histology(PAH)of human *** framework comprises three components:(1)an explainable contrastive unpaired translation(E-CUT)method for virtual H&E(VHE)staining,(2)an U-net architecture for feature segmentation,and(3)a DL-based stepwise feature fusion method(StepFF)for *** framework demonstrates promising performance at each step of its application to human liver *** virtual staining,the E-CUT preserves the morphological aspects of the cell nucleus and cytoplasm,making VHE images highly similar to real H&E *** segmentation,various features(e.g.,the cell area,number of cells,and the distance between cell nuclei)have been successfully segmented in VHE ***,by using deep feature vectors from PAH,VHE,and segmented images,StepFF has achieved a 98.00%classification accuracy,compared to the 94.80%accuracy of conventional PAH *** particular,StepFF’s classification reached a sensitivity of 100%based on the evaluation of three pathologists,demonstrating its applicability in real clinical *** series of DL methods for label-free PAH has great potential as a practical clinical strategy for digital pathology.

关键词： stepwise Deep spite

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Reducing NOx Emissions and Optimizing Fuel Economy by Controlling Torque and Catalyst warm-up in mild HEVs 13

Reducing NOx Emissions and Optimizing Fuel Economy by Contro...

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13th Asian Control Conference, ASCC 2022

作者： Umezawa, Yuka Seto, Hiroki Imamura, Toshiro Namerikawa, Toru Keio University Graduate School of Science and Technology Yokohama Japan Isuzu Advanced Engineering Center Ltd Fujisawa Japan

ISBN: (纸本)9788993215236

In this paper, hierarchical model predictive control is applied to mild HEVs in order to improve fuel economy and reduce NOx emissions. There is a difference in the timescale between the temperature control (high-level) and the torque control (low-level), which are connected problems via the battery. In high-level of the hierarchical control, the optimal amount of heating from the battery to the catalyst in the exhaust gas after-treatment system is determined. The amount of heating must be determined in such a way that the catalyst can optimally purify NOx emitted from the engine. At the low-level of the hierarchical control, the optimal torque distribution for the engine and motor is determined. The controller at both levels then applies model predictive control to account for the future behavior of the HEV's components. Fuel consumption, battery SoC and NOx emissions from the engine are taken into account. Finally, the effectiveness of our proposed method is demonstrated by simulations. © 2022 ACA.

关键词： Heating systems Torque Catalysts Heat engines Torque control Fuel economy Control systems

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Recycling of ironmaking and steelmaking slags in Japan and China

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International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 739-749页

作者： Hiroyuki Matsuura Xiao Yang Guangqiang Li Zhangfu Yuan Fumitaka Tsukihashi Graduate School of Engineering The University of TokyoTokyo 113-8656Japan Key Laboratory of Coastal Environment and Resources of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China Institute of Advanced Technology Westlake Institute for Advanced StudyHangzhou 310024China Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081China Collaborative Innovation Center of Steel Technology University of Science and Technology BeijingBeijing 100083China The University of Tokyo Tokyo 113-8656Japan

The mass production of steel is inevitably accompanied by large quantities of *** treatment of ironmaking and steelmaking slags is a great challenge in the sustainable development of the steel *** and China are two major steel producing countries that have placed a large emphasis on developing new technologies to decrease slag emission or promote slag *** are almost completely reused or recycled in ***,due to stagnant infrastructural investments,future applications of slags in conventional sectors are expected to be *** new functions or applications of slags has become a research priority in *** example,the utilization of steelmaking slags in offshore seabeds to create marine forests is under *** is the top steel producer in the *** utilization ratios of ironmaking and steelmaking slags have risen steadily in recent years,driven largely by technological *** example,hot stage processing of slags for materials as well as heat recovery techniques has been widely applied in steel plants with good ***,increasing the utilization ratio of basic oxygen furnace slags remains a major *** innovations in slag recycling are crucial for the steel industries in Japan and ***,the current status and developing trends of utilization technologies of slags in both countries are reviewed.

关键词： ironmaking steelmaking slag recycling seawater stabilization

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Driving Characteristics of Conductive Stainless-steel Fibers

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IEEJ Transactions on Sensors and Micromachines 2023年第2期143卷 21-25页

作者： Komatsu, Tomohiro Shimizu, Akari Nishikawa, Yukino Shima, Shota Amaya, Satoshi Takamura, Eiichiro Sakamoto, Hiroaki Department of Advanced Interdisciplinary Science and Technology Graduate School of Engineering University of Fukui 3-9-1 Bunkyo Fukui910-8507 Japan Department of Materials Science and Biotechnology School of Engineering University of Fukui 3-9-1 Bunkyo Fukui910-8507 Japan Department of Mechanical Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Frontier Fiber Technology and Science Graduate School of Engineering University of Fukui 3-9-1 Bunkyo Fukui910-8507 Japan

An actuator is a device that converts chemical into kinetic energy. It has been used in industry, medicine, and various other fields. In this study, we focused on the use of conductive fibers as actuator elements. By using fiber-shaped materials as actuators, we can expect three-dimensional driving compared with conventional two-dimensional fiber materials and suggest the novel utilization of conductive fibers. Therefore, we evaluated the driving behavior by applying electric potential using various conductive fibers. The conductive fibers which used in this study have already been commercialized and used in various fields. We evaluated the driving behavior when an electric potential was applied to the conductive fibers with different electric resistivity. The driving behavior of a floating fiber with a length of 1 mm was evaluated when alternating current was applied at both fiber ends. As a result, it was confirmed that the fibers with high conductivities were driven. In particular, stainless-steel fibers exhibited the best driving behavior. In addition, the characteristics of driving behavior improvement was correlated with frequency up to 5 Hz. Even after 24 h of continuous operation, 60% of the driving behavior stability was maintained. These driving patterns are considered to be based on the thermal expansion and contraction based on the Joule heating generated by the applied electric potential. © 2023 The Institute of Electrical Engineers of Japan.

关键词： Kinetics

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