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IAF Astrodynamics Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021

作者： Ozaki, Naoya Yamamoto, Takayuki Pushparaj, Nishanth Gonzalez-Franquesa, Ferran Gutierrez-Ramon, Roger Chikazawa, Takuya Yanagida, Kanta Padilha, Dan Tos, Diogene Alessandro Dei Elik, Onur C. Marmo, Nicola Kawakatsu, Yasuhiro Nishiyama, Kazutaka Takashimai, Takeshi ADepartment of Spacecraft Engineering Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Kanagawa Sagamihara252-5210 Japan Research and Development Japan Aerospace Exploration Agency Kanagawa Sagamihara252-5210 Japan Department of Space and Astronautical Science Graduate University for Advanced Studies Sokendai Kanagawa Sagamihara252-5210 Japan University of Tokyo Bunkyo-ku Tokyo113-8656 Japan Deimos Space ESA/ESOC Darmstadt64293 Germany University of Glasgow GlasgowG12 8QQ United Kingdom Sapienza University of Rome Via Eudossiana 18 Rome00184 Italy Department of Space Flight Systems Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Kanagawa Sagamihara252-5210 Japan Department of Spacecraft Engineering Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Kanagawa Sagamihara252-5210 Japan

ISBN: (纸本)9781713843078

DESTINY+ is an upcoming JAXA Epsilon medium-class mission to be launched in 2024. The spacecraft will demonstrate advanced technologies, including highly efficient solar electric propulsion to enable deep space missions with lower costs and higher frequency. As the nominal science mission, the spacecraft will perform a high-speed flyby observation of (3200) Phaethon. Visits to several other asteroids are part of the extended mission. This paper presents the mission design and flight operation overview of the DESTINY+ mission. Epsilon S launch vehicle has the capability to insert the spacecraft into a near geostationary transfer orbit. The spacecraft will raise its orbit by solar electric propulsion in a spiral-shaped trajectory that will take it to the vicinity of the Moon. A number of lunar gravity assists will allow the spacecraft to fly to an interplanetary orbit that will take it to multiple asteroid flybys. In addition to the mission analysis, this paper includes an operational feasibility study, as it is highly coupled with system constraints. Copyrightc 2021 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Asteroids

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Effect of output coupling ratio on performance of Q-switched fiber laser based on MgQ2 organic saturable absorber

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Optical Fiber Technology 2025年 93卷

作者： Najm, Mustafa Mohammed Najm, Sarah Mohammed Hmood, Jassim K. Yit, Jing Ee Al-Azzawi, Alabbas A. Abdullah, Mohammed Najm Harun, S.W. Photonics Engineering Laboratory Department of Electrical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur50603 Malaysia Technical Instructors Training Institute Middle Technical University Baghdad10074 Iraq Department of Computer Engineering University of Technology Baghdad10066 Iraq Optoelectronics Engineering Department College of Laser and Optoelectronics Engineering University of Technology Baghdad10066 Iraq Department of Mechanical Engineering Faculty of Engineering Universiti Teknologi Petronas 32610 Seri Iskandar Perak Malaysia Research and Development Directorate Ministry of Higher Education and Scientific Research Baghdad10065 Iraq Department of Medical Instrumentation Technical College of Medical Technical Al-Farahidi University Baghdad Iraq

This study experimentally investigates an organic 8-Hydroxyquinoline magnesium (MgQ2) thin-film saturable absorber (SA). The MgQ2-SA is prepared using the drop-casting method to create a solid polymer film. The results show that the optical properties of the MgQ2-SA film include a non-saturable absorption of 30 %, a saturable absorption of 22.5 %, and a saturable intensity of 11.4 MW/cm2. The Q-switched operation using MgQ2-SA film produces pulse widths ranging from 7.45 µs to 1.4 µs, with pulse repetition rates reported from 32 to 135 kHz, particularly in the coupling ratio range of 50 % to 10 %. Q-switched spectral operations were observed at wavelengths of 1530 nm for 10:90 output coupler (OC). Besides, for 50:50 OC, dual-wavelength spectrum is recorded with peaks at 1557 nm, and 1559 nm wavelengths. The proposed system architecture shows the capability to generate unique pulse characteristics across various wavelengths and different coupling ratios. © 2025

关键词： Nonlinear optics

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Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks

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Physical Review Applied 2022年第6期17卷 064025-064025页

作者： Henri Tertilt Jesse Bakker Marlon Becker Bram de Wilde Indrek Klanberg Bernard J. Geurts Wilfred G. van der Wiel Andreas Heuer Peter A. Bobbert Institut für physikalische Chemie Westfälische Wilhelms-Universität Münster Münster Germany NanoElectronics Group University of Twente Enschede Netherlands Multiscale Modeling and Simulation Group Faculty of Electrical Engineering Mathematics and Computer Science MESA+ Institute for Nanotechnology and Center for Brain-Inspired Nano Systems (BRAINS) University of Twente Enschede Netherlands Center for Computational Energy Research (CCER) Eindhoven University of Technology Netherlands Fachbereich Physik Westfälische Wilhelms-Universität Münster Münster Germany Department of Applied Physics Eindhoven University of Technology Netherlands

We present an atomic-scale mechanism based on variable-range hopping of interacting charges enabling reconfigurable logic in dopant network processing units. Kinetic Monte Carlo simulations of the hopping process show temperature-dependent current-voltage characteristics and artificially evolved basic Boolean logic gates in very good agreement with experiment. The simulations provide unique insights into the local electrostatic potential and current flow in the dopant network, showing subtle changes induced by control voltages that set the conditions for the logic operation. These insights will be crucial in the systematic further development of this burgeoning technology for unconventional computing. The establishment of the principles underlying the logic functionality of these devices encourages the exploration and utilization of the same principles in other materials and device geometries.

关键词： Doping effects Hopping transport Neuromorphic computing Devices for digital logic, storage & processing Disordered systems Doped semiconductors Genetic algorithm Monte Carlo methods

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AI recognition of patient race in medical imaging: a modelling study

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The Lancet Digital Health 2022年第6期4卷 e406-e414页

作者： Gichoya, Judy Wawira Banerjee, Imon Bhimireddy, Ananth Reddy Burns, John L Celi, Leo Anthony Chen, Li-Ching Correa, Ramon Dullerud, Natalie Ghassemi, Marzyeh Huang, Shih-Cheng Kuo, Po-Chih Lungren, Matthew P Palmer, Lyle J Price, Brandon J Purkayastha, Saptarshi Pyrros, Ayis T Oakden-Rayner, Lauren Okechukwu, Chima Seyyed-Kalantari, Laleh Trivedi, Hari Wang, Ryan Zaiman, Zachary Zhang, Haoran Department of Radiology Emory University Atlanta GA United States Department of Computer Science Emory University Atlanta GA United States School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ United States School of Informatics and Computing Indiana University–Purdue University Indianapolis IN United States Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Department of Medicine Beth Israel Deaconess Medical Center Boston MA United States Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer Science University of Toronto Toronto ON Canada Stanford University School of Medicine Palo Alto CA United States Australian Institute for Machine Learning University of Adelaide Adelaide SA Australia School of Public Health University of Adelaide Adelaide SA Australia Florida State University College of Medicine Tallahassee FL United States Dupage Medical Group Hinsdale IL United States Department of Computer Science Georgia Institute of Technology Atlanta GA United States Lunenfeld-Tanenbaum Research Institute Sinai Health Toronto ON Canada Vector Institute for Artificial Intelligence Toronto ON Canada

Background: Previous studies in medical imaging have shown disparate abilities of artificial intelligence (AI) to detect a person's race, yet there is no known correlation for race on medical imaging that would be obvious to human experts when interpreting the images. We aimed to conduct a comprehensive evaluation of the ability of AI to recognise a patient's racial identity from medical images. Methods: Using private (Emory CXR, Emory Chest CT, Emory Cervical Spine, and Emory Mammogram) and public (MIMIC-CXR, CheXpert, National Lung Cancer Screening Trial, RSNA Pulmonary Embolism CT, and Digital Hand Atlas) datasets, we evaluated, first, performance quantification of deep learning models in detecting race from medical images, including the ability of these models to generalise to external environments and across multiple imaging modalities. Second, we assessed possible confounding of anatomic and phenotypic population features by assessing the ability of these hypothesised confounders to detect race in isolation using regression models, and by re-evaluating the deep learning models by testing them on datasets stratified by these hypothesised confounding variables. Last, by exploring the effect of image corruptions on model performance, we investigated the underlying mechanism by which AI models can recognise race. Findings: In our study, we show that standard AI deep learning models can be trained to predict race from medical images with high performance across multiple imaging modalities, which was sustained under external validation conditions (x-ray imaging [area under the receiver operating characteristics curve (AUC) range 0·91–0·99], CT chest imaging [0·87–0·96], and mammography [0·81]). We also showed that this detection is not due to proxies or imaging-related surrogate covariates for race (eg, performance of possible confounders: body-mass index [AUC 0·55], disease distribution [0·61], and breast density [0·61]). Finally, we provide evidence to show that t

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The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and development of Immunofluoresence Imaging Methods

arXiv

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arXiv 2024年

作者： Yaniv, Ziv Anidi, Ifeanyichukwu U. Arakkal, Leanne Arroyo-Mejías, Armando J. Beuschel, Rebecca T. Börner, Katy Chu, Colin J. Clark, Beatrice Clatworthy, Menna R. Colautti, Jake Coscia, Fabian Croteau, Joshua Denha, Saven Dever, Rose Dutra, Walderez O. Fritzsche, Sonja Fullam, Spencer Gerner, Michael Y. Gola, Anita Gollob, Kenneth J. Hernandez, Jonathan M. Hor, Jyh Liang Ichise, Hiroshi Jing, Zhixin Jonigk, Danny Kandov, Evelyn Kastenmüller, Wolfgang Koenig, Joshua F.E. Kothurkar, Aanandita Kortekaas, Rosa K. Kreins, Alexandra Y. Lamborn, Ian T. Lin, Yuri Morais, Katia Luciano Pereira Lunich, Aleksandra Luz, Jean C.S. MacDonald, Ryan B. Makranz, Chen Maltez, Vivien I. McDonough, John E. Moriarty, Ryan V. Ocampo-Godinez, Juan M. Olyntho, Vitoria M. Oxenius, Annette Padhan, Kartika Remmert, Kirsten Richoz, Nathan Schrom, Edward C. Shang, Wanjing Shi, Lihong Shih, Rochelle M. Speranza, Emily Stierli, Salome Teichmann, Sarah A. Veres, Tibor Z. Vierhout, Megan Wachter, Brianna T. Williams, Margaret Zangger, Nathan Germain, Ronald N. Radtke, Andrea J. Bioinformatics and Computational Bioscience Branch National Institute of Allergy and Infectious Diseases National Institutes of Health BethesdaMD United States Critical Care Medicine and Pulmonary Branch National Heart Lung and Blood Institute National Institutes of Health BethesdaMD United States Lymphocyte Biology Section Laboratory of Immune System Biology NIAID NIH BethesdaMD United States Department of Intelligent Systems Engineering Indiana University BloomingtonIN United States UCL Institute of Ophthalmology NIHR Moorfields Biomedical Research Centre London United Kingdom Cambridge Institute for Therapeutic Immunology and Infectious Diseases University of Cambridge Department of Medicine Molecular Immunity Unit Laboratory of Molecular Biology Cambridge United Kingdom McMaster Immunology Research Centre Schroeder Allergy and Immunology Research Institute Department of Medicine Faculty of Health Sciences McMaster University HamiltonON Canada Spatial Proteomics Group Berlin Germany Department of Business Development BioLegend Inc. San DiegoCA United States Functional Immunogenomics Unit National Institute of Arthritis and Musculoskeletal and Skin Diseases National Institutes of Health BethesdaMD United States Laboratory of Cell-Cell Interactions Department of Morphology Institute of Biological Sciences Universidade Federal de Minas Gerais MG Belo Horizonte Brazil Division of Rheumatology Rush University Medical Center ChicagoIL United States Department of Immunology University of Washington School of Medicine SeattleWA United States Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development The Rockefeller University New YorkNY United States Hospital Israelita Albert Einstein SP Sao Paulo Brazil Surgical Oncology Program National Cancer Institute National Institutes of Health BethesdaMD United States Institute of Pathology Aachen Medical University RWTH Aachen Aachen Germany Hannover Germany Würzburg Institute

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge-Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non-recommended reagents, e.g., primary and secondary antibodies. In addition to reporting negative data, the Knowledge-Base empowers method adoption and evolution by providing a venue for sharing protocols, videos, datasets, software, and publications. A dedicated discussion forum fosters a sense of community among researchers while addressing questions not covered in published manuscripts. Together, scientists from around the world are advancing scientific discovery at a faster pace, reducing wasted time and effort, and instilling greater confidence in the resulting data. © 2024, CC BY.

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Crowdsourcing Urban Narratives for a Post-Pandemic World

Crowdsourcing Urban Narratives for a Post-Pandemic World

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International Conference on computer Supported Cooperative Work in Design

作者： Ramon Chaves Daniel Schneider Claudia Motta António Correia Hugo Paredes Bárbara Caetano Jano Moreira de Souza Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro UTAD Vila Real Portugal Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil

ISBN: (纸本)9781728165974;9781728165981

Over the past decades, the use of digital technologies to support participatory urban planning and design has been repeatedly described as a crucial instrument and critical building block for tackling historical problems of participation in such processes. Social media, e-participation platforms, and crowdsourcing applications are examples of technologies that can involve citizens in decision-making processes and thus leverage the benefits of collective intelligence. However, despite the extensive use of social media platforms, old problems related to engagement and participation still occur in digital initiatives. Successful collaboration examples between citizens, policymakers, and strategic stakeholders are still scarce based on online social practices. This study aims to introduce a collective intelligence model, which combines crowdsourcing and social storytelling to support participatory urban planning and design from a bottom-up perspective. The paper concludes by discussing a scenario where citizens can engage in mapping, taking photos, sending ideas, or even creating collective stories about their university issues in a post-pandemic future.

关键词： Crowdsourcing Social networking (online) Smart cities Instruments Urban planning Collective intelligence Tools

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On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds

arXiv

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arXiv 2023年

作者： Wang, Cheng-Xiang You, Xiaohu Gao, Xiqi Zhu, Xiuming Li, Zixin Zhang, Chuan Wang, Haiming Huang, Yongming Chen, Yunfei Haas, Harald Thompson, John S. Larsson, Erik G. Di Renzo, Marco Tong, Wen Zhu, Peiying Shen, Xuemin Poor, H. Vincent Hanzo, Lajos The National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing210096 China The Purple Mountain Laboratories Nanjing211111 China The School of Information Science and Engineering The State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China The Pervasive Communication Research Center Purple Mountain Laboratories Nanjing211111 China The School of Engineering The University of Warwick CoventryCV4 7AL United Kingdom The LiFi Research and Development Center Department of Electronic and Electrical Engineering University of Strathclyde GlasgowG1 1XQ United Kingdom The Institute for Digital Communications School of Engineering University of Edinburgh EdinburghEH9 3JL United Kingdom Linköping University Linköping581 83 Sweden Université Paris-Saclay CNRS CentraleSupélec Laboratoire des Signaux et Systèmes 3 Rue Joliot-Curie Gif-sur-Yvette91192 France The Wireless Advanced System and Competency Centre HUAWEI Technologies Co. Ltd. OttawaONK2K 3J1 Canada HUAWEI Technologies Canada Co. Ltd. OttawaONK2K 3J1 Canada The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offering a host of novel opportunities to various industries. However, 5G still faces many challenges. To address these challenges, international industrial, academic, and standards organizations have commenced research on sixth generation (6G) wireless communication systems. A series of white papers and survey papers have been published, which aim to define 6G in terms of requirements, application scenarios, key technologies, etc. Although ITU-R has been working on the 6G vision and it is expected to reach a consensus on what 6G will be by mid-2023, the related global discussions are still wide open and the existing literature has identified numerous open issues. This paper first provides a comprehensive portrayal of the 6G vision, technical requirements, and application scenarios, covering the current common understanding of 6G. Then, a critical appraisal of the 6G network architecture and key technologies is presented. Furthermore, existing testbeds and advanced 6G verification platforms are detailed for the first time. In addition, future research directions and open challenges are identified for stimulating the on-going global debate. Finally, lessons learned to date concerning 6G networks are discussed. © 2023, CC BY.

关键词： Network architecture

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Demonstration of an on-chip TE-pass polarizer using a silicon hybrid plasmonic grating

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Photonics research 2019年第3期7卷 289-293页

作者： BOWEN BAI FENGHE YANG ZHIPING ZHOU State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Peking University Shenzhen Research Institute

An on-chip, high extinction ratio transverse electric(TE)-pass polarizer using a silicon hybrid plasmonic grating is proposed and experimentally demonstrated. Utilizing plasmonics to manipulate the effective index and mode distribution, the transverse magnetic mode is reflected and absorbed, while the TE mode passes through with relatively low propagation loss. For a 6-μm-long device, the measurement result shows that the extinction ratio in the wavelength range of 1.52 to 1.58 μm varies from 24 to 33.7 dB and the insertion loss is 2.8–4.9 dB. Moreover,the structure exhibits large alignment tolerance and is compatible with silicon-on-insulator fabrication technology.

关键词： TE-pass polarizer using silicon hybrid plasmonic grating transverse magnetic mode

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42-1: Perceptual Judgments of Simulated Low Temperatures in LCD based Vehicle Displays

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SID Symposium Digest of Technical Papers 2023年第1期54卷

作者： Hande D. Göreke Anders Djupsjöbacka Bo N. Schenkman Börje Andrén David S. Hermann Kjell Brunnström Industrial Systems RISE Research Institutes of Sweden AB Stockholm Sweden Informatics and Media Uppsala University Uppsala Sweden Speech Music and Hearing KTH Royal Institute of Technology Stockholm Sweden Display Systems Volvo Car Corporation Göteborg Sweden Computer and Electrical Engineering Mid Sweden University Sundsvall Sweden

A well-known drawback with LCD-displays in cold is a slow pixel response leading to poor picture quality. Low temperatures can constitute a hazard in viewing important displays in cars. Perceptual experiments with 20 test-persons were conducted to find clear and acceptable ranges on screens simulating distortions in low temperatures. The results showed perception over clear and acceptable image quality was impaired beyond -20°C for the LCD-screen in the experiments.

关键词： Perception Cold Screens LCD Video Quality Distortions CMS Psychophysics

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Probabilistic Neural Network - parameters adjustment in classification task

Probabilistic Neural Network - parameters adjustment in clas...

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International Joint Conference on Neural Networks (IJCNN)

作者： Piotr A. Kowalski Maciej Kusy Szymon Kubasiak Szymon Łukasik Faculty of Physics and Applied Computer Science AGH University of Science and Technology Cracow Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Faculty of Electrical and Computer Engineering Rzeszow University of Technology Rzeszow Poland

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

This work presents a comparative analysis of probabilistic neural network training methods applied to achieve best performance in various classification tasks. Two result from classical mathematical methods based on the theory of kernel density estimators: the plug-in method and cross-validation procedure. The other two methods are more advanced: a metaheuristic algorithm of particle swarm optimization, and a procedure based on reinforcement learning. Ten data sets, regarded in eleven classification problems, taken from the UCI repository are used for the numerical analysis. A comparative analysis of probabilistic neural network learning methods leads to interesting conclusions. Although it does not allow for unambiguous selection of the best learning method, it provides a possibility of choosing a method that is adequate for the given conditions. The description of this is included in the work.

关键词： Kernel Biological neural networks Smoothing methods Task analysis Probabilistic logic Training Neurons

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