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The effective thermal conductivity of a screen-printed thermoelectric film of Bi 2 Te 3 and CsSnI 3

International Journal of Heat and Mass Transfer 2025年 250卷

作者： Koji Miyazaki Anjum Mustafa Ajay Kumar Baranwal Shrikant Saini Kosuke Watanabe Asuka Miura Tomohide Yabuki Manabu Ishimaru Shoya Kawano Qing Wang Satoshi Iikubo Qing Shen Shuzi Hayase Department of Mechanical Engineering Kyushu University 744 Motooka Nishi-ku Fukuoka Fukuoka 819-0395 Japan Department of Mechanical and Control Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Electronics & Communication Engineering Madan Mohan Malaviya University of Technology Gorakhpur Uttar Pradesh 273010 India Department of Creative Engineering National Institute of Technology Kitakyushu College 5-20-1 Shii Kokuraminami-ku Kitakyushu Fukuoka 802-0985 Japan Department of Materials Science and Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Electronic Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Advanced Materials Science and Engineering Kyushu University 6-1 Kasuga-koen Kasuga Fukuoka 816-8580 Japan i-Powered Energy System Research Center (i-PERC) The University of Electro-Communications

In recent years, printed thermoelectric thin films have attracted attention due to their advantages in enabling large-area and flexible designs. We developed printable thermoelectric composites of bismuth telluride and halide perovskite, which were expected to exhibit superior thermoelectric properties compared to other printable materials, such as conductive organic materials. The measured dimensionless figure of merit was about 0.1 at room temperature due to its low thermal conductivity. We assessed the interfacial thermal resistance between bismuth telluride and halide perovskite using multilayered films to understand the measured low thermal conductivity. The calculated thermal conductivity using the measured interfacial thermal resistance was fairly consistent with the effective thermal conductivity observed. We also discussed the interfacial thermal resistance using a phonon transport model based on ab-initio calculations to confirm the validity of our measurements. Additionally, we found that the high interfacial thermal resistance was achieved due to the low group velocities of both materials in the composites. This mechanism can be applied not only to improve thermoelectric materials but also to address thermal issues in composites.

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Determination of weak squeezed vacuum state through photon statistics measurement

arXiv

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arXiv 2021年

作者： Zuo, Guanhua Zhang, Yuchi Li, Jing Zhu, Shiyao Guo, Yanqiang Zhang, Tiancai State Key Laboratory of Quantum Qptics and Quantum Optics Devices Collaborative Innovation Center of Extreme Optics Institute of Opto-Electronics Shanxi University Taiyuan030006 China College of Physics and Electronic Engineering Shanxi University Taiyuan030006 China Department of Physics Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030600 China

Weak squeezed vacuum light, especially resonant to the atomic transition, plays an important role in quantum storage and generation of various quantum sources. However, the general homodyne detection (HD) cannot determine weak squeezing due to the low signal to noise ratio and the limited resolution of the HD system. Here we provide an alternative method based on photon statistics measurement to determine the weak squeezing of the squeezed vacuum light generated from an optical parametric oscillator working far below the threshold. The approach is established the relationship between the squeezing parameter and the second-order degree of coherence. The theoretical analysis agrees well with the experiment results. The advantage of this method is that it provides a feasible and reliable experimental measure to determine the weak squeezing with high precision and the measurement is independent on the detection efficiency. This method can be used to measure other quantum features for various quantum states with extremely weak non-classicality. Copyright © 2021, The Authors. All rights reserved.

关键词： Optical parametric oscillators

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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Fabry-perot lasers as enablers for parallel reservoir computing

arXiv

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arXiv 2020年

作者： Bogris, Adonis Mesaritakis, Charis Deligiannidis, Stavros Li, Pu Department of Informatics and Computer Engineering University of West Attica Aghiou Spiridonos Egaleo Athens12243 Greece Department of Information & Communication Systems Engineering University of the Aegean 2 Palama & Gorgyras St. Karlovassi Samos83200 Greece Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China

We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a master FP laser and a slave FP laser under feedback we demonstrate the potential for scaling up the processing power at longitudinal mode granularity and perform real-time processing for signal equalization in 25 Gbaud intensity modulation direct detection optical communication systems. We demonstrate the improvement of classification performance as the number of nodes increases and the capability of simultaneous processing of arbitrary data streams. Extensive numerical simulations show that up to 8 longitudinal modes in typical Fabry-Perot lasers can be leveraged so as to enhance classification performance. Copyright © 2020, The Authors. All rights reserved.

关键词： Recurrent neural networks

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Research on Stress-Relaxation Property of Different Layers ment under Compression 16

Research on Stress-Relaxation Property of Different Layers m...

引用

16th IEEE International Conference on Mechatronics and Automation, ICMA 2019

作者： Zhou, Jinlai Song, Yang Shi, Xue Xu, Chenguang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China Periodontitis Department Tianjin Stomatological Hospital Tianjin300041 China

ISBN: (纸本)9781728116983

As a connective tissue connecting teeth and alveolar bone, periodontal ligament (PDL) has the mechanical properties of nonlinearity, viscoelasticity, anisotropy. In this paper, the pig mandibular central incisors were taken as subjects, a loading machine(CARE-MI00) was used to perform compression tests and the PDL stress-relaxation characteristics under different strain conditions were obtained. The stress-time curves and the relaxation modulus curves were obtained. The three-parameters Zener model and five-parameter generalized Maxwell model proposed by the author were used to fit the data. The experimental results show that the elastic modulus of PDL decreases gradually in the apex(ranges from 2.64 to 3.06 MPa), cervical margin(ranges from 1.44 to 1.76 MPa) and midroot (ranges from 1.03 to 1. 06MPa). Zener model has a relatively high fitting degree, and the squared correction coefficient is about 0.98, however, the adjusted R square of the five-parameter model was above 0.99. Compared with the Zener model, the five-parameter model can better reflect the sudden drop of relaxation modulus at the initial stage, which is more suitable for describing stress-relaxation in viscoelastic behavior of PDL. The advantage of this paper is to compare the descriptive ability of three-parameter and five-parameter generalized Maxwell equation to the mechanical properties of PDL and to provide an effective procedure for the preparation of PDL specimens. © 2019 IEEE.

关键词： Elastic moduli

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A registration-aided domain adaptation network for 3D Point cloud based place recognition

arXiv

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arXiv 2020年

作者： Qiao, Zhijian Hu, Hanjiang Shi, Weiang Chen, Siyuan Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Mechanical Engineering Carnegie Mellon University United States Department of Computer Science and Technology University of Cambridge United Kingdom

In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness to changing environments with drastic daytime and weather variance. However, it is time-consuming and effort-costly to obtain high-quality point cloud data for place recognition model training and ground truth for registration in the real world. To this end, a novel registration-aided 3D domain adaptation network for point cloud based place recognition is proposed. A structure-aware registration network is introduced to help to learn features with geometric information and a 6-DoFs pose between two point clouds with partial overlap can be estimated. The model is trained through a synthetic virtual LiDAR dataset through GTA-V with diverse weather and daytime conditions and domain adaptation is implemented to the real-world domain by aligning the global features. Our results outperform state-of-the-art 3D place recognition baselines or achieve comparable on the real-world Oxford RobotCar dataset with the visualization of registration on the virtual dataset. Copyright © 2020, The Authors. All rights reserved.

关键词： Three dimensional computer graphics

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Anchor-based spatio-temporal attention 3D convolutional networks for dynamic 3D point cloud sequences

arXiv

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arXiv 2020年

作者： Wang, Guangming Chen, Muyao Liu, Hanwen Yang, Yehui Liu, Zhe Wang, Hesheng The Department of Automation Institute of Medical Robotics Key Laboratory of System Control and Information Processing Ministry of Education Key Laboratory of Marine Intelligent Equipment System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China The Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China The Department of Computer Science and Technology University of Cambridge

With the rapid development of measurwement technology, LiDAR and depth cameras are widely used in the perception of the 3D environment. Recent learning based methods for robot perception most focus on the image or video, but deep learning methods for dynamic 3D point cloud sequences are underexplored. Therefore, developing efficient and accurate perception method compatible with these advanced instruments is pivotal to autonomous driving and service robots. An Anchor-based Spatio-Temporal Attention 3D Convolution operation (ASTA3DConv) is proposed in this paper to process dynamic 3D point cloud sequences. The proposed convolution operation builds a regular receptive field around each point by setting several virtual anchors around each point. The features of neighborhood points are firstly aggregated to each anchor based on the spatio-temporal attention mechanism. Then, anchor-based 3D convolution is adopted to aggregate these anchors' features to the core points. The proposed method makes better use of the structured information within the local region and learns spatio-temporal embedding features from dynamic 3D point cloud sequences. Anchor-based Spatio-Temporal Attention 3D Convolutional Neural Networks (ASTA3DCNNs) are built for classification and segmentation tasks based on the proposed ASTA3DConv and evaluated on action recognition and semantic segmentation tasks. The experiments and ablation studies on MSRAction3D and Synthia datasets demonstrate the superior performance and effectiveness of our method for dynamic 3D point cloud sequences. Our method achieves the state-of-the-art performance among the methods with dynamic 3D point cloud sequences as input on MSRAction3D and Synthia datasets. Copyright © 2020, The Authors. All rights reserved.

关键词： Embeddings

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Back Cover, Volume 42, Number 1, January 2025

引用

Journal of Field Robotics 2024年第1期42卷 ii-ii页

作者： Qi Shao Qixing Xia Zhonghan Lin Xuguang Dong Xin An Haoqi Zhao Zhangyi Li Xin-Jun Liu Wenqiang Dong Huichan Zhao Department of Mechanical Engineering Tsinghua University Beijing China State Key Laboratory of Tribology in Advanced Equipment Beijing China Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control Beijing China NPU Institute of Culture and Heritage (NICH) Northwestern Polytechnical University Xi'an Shaanxi China Key Laboratory of Archeological Exploration and Cultural Heritage Conservation Technology (Northwestern Polytechnical University) Ministry of Education Shaanxi China Xi'an Yuanzhi System Technology Co. Ltd. Shaanxi China

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Zinc Oxide Quantum Dots as Photoanode for Dye-Sensitized Solar Cell

Zinc Oxide Quantum Dots as Photoanode for Dye-Sensitized Sol...

引用

IEEE International Conference on Semiconductor Electronics (ICSE)

作者： M. I. Idris Yasmin Zainol Abidin Huda Abdullah S. Shafie Siti Amaniah Mohd Chachuli M. Rashid K. J. Xian Micro and Nano Electronic (MiNE) Faculty of Electronic and Computer Engineering Melaka Malaysia Faculty of Electronic and Electronic Engineering (UTeM) Melaka Malaysia Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia (UKM) Selangor Malaysia Department of Electrical and Electronic Engineering Universiti Putra Malaysia (UPM) Selangor Malaysia Advanced Sensors and Embedded Control System (ASECs) Faculty of Electronic and Computer Engineering Melaka Malaysia School of Physics Universiti Sains Malaysia (USM) Penang Malaysia Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia (UKM) Selangor Malaysia

ISBN: (数字)9781728159683

ISBN: (纸本)9781728159690

Quantum dots dye-sensitized solar cells (QDSSC) has emerged as a highly promising photovoltaic technology for next-generation solar cells due to the distinct optoelectronics features of quantum dots (QDs) light-harvesting materials such as high absorption coefficient, multiple exciton generation possibility and easily tunable absorption range that can deliver both low production costs. TiO 2 is currently the conventional electron transport material (ETM) used in dye sensitized solar cell (DSSC) but incur high cost and high-temperature processing. Zinc oxide (ZnO) is identified as a low-cost material with higher electron mobility than TiO2 for efficient electron extraction. Furthermore, solution-process able ZnO quantum dots (QDs) allow manipulation of quantum confinement, light scattering and energy band alignment to improve charge extraction. ZnO QDs were synthesised using a self-assembly method of zinc acetate dihydrate solution with potassium hydroxide (KOH) solution and deposited on the Indium Tin Oxide (ITO) glass substrate by using spin coater (200-1500 rpm) for 20 seconds. Afterward, annealed for 5 hours in the furnace at temperatures of 450 ° C. In the characterization the solar cell used X-Ray Diffraction (XRD), UV-Visible spectroscopy, and Scanning Electron Microscope (SEM).

关键词： Zinc oxide II-VI semiconductor materials Photovoltaic cells Indium tin oxide Quantum dots Glass Absorption

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Virtual synchronous generator model control of PV for improving transient stability and damping in a large-scale power system

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IEEJ Transactions on Power and Energy 2018年第8期138卷 716-723页

作者： Nogami, Shun Yokoyama, Akihiko Daibu, Takashi Hono, Yuuki Department of Advanced Energy University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Power System Engineering and Operation Department Power System Control Group Kansai Electric Power Co. Inc. 3-6-16 Nakanoshima Kita-ku Osaka530-8270 Japan

Because of the significant changes in environmental policies and electric power deregulation in the last decade, a lot of photovoltaic generations (PV) have been and will be installed into the power system in Japan and the ratio of PVs to other synchronous generators will be increased. As a countermeasure against the decrease in the rotational inertia in the whole power system, a virtual synchronous generator (VSG) model control of the PV has so far been proposed. However, the system stabilization effect of the VSG in large-scale power systems has been unclear. In this paper, a virtual step-out blocking method of VSG for improving the transient stability is proposed. In addition, the necessity of governor control of VSG in a large-scale power system is discussed. Finally, the rated kw and kwh capacities of the battery required for realizing the VSG-model control are evaluated. © 2018 The Institute of Electrical Engineers of Japan.

关键词： Synchronous generators

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