检索结果-内蒙古大学图书馆

Curved foldings with common creases and crease patterns

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Honda, Atsufumi Naokawa, Kosuke Saji, Kentaro Umehara, Masaaki Yamada, Kotaro Department of Applied Mathematics Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya Yokohama240-8501 Japan Department of Computer Science Faculty of Applied Information Science Hiroshima Institute of Technology 2-1-1 Miyake Saeki Hiroshima731-5193 Japan Department of Mathematics Faculty of Science Kobe University Rokko Kobe657-8501 Department of Mathematical and Computing Sciences Tokyo Institute of Technology Tokyo152-8552 Japan Department of Mathematics Tokyo Institute of Technology Tokyo152-8551 Japan

Consider a curve Γ in a domain D in the plane R2. Thinking of D as a piece of paper, one can make a curved folding P in the Euclidean space R3. The singular set C of P as a space curve is called the crease of P and the initially given plane curve Γ is called the crease pattern of P. In this paper, we show that in general there are four distinct non-congruent curved foldings with a given pair consisting of a crease and crease pattern. Two of these possibilities were already known, but it seems that the other two possibilities (i.e. four possibilities in total) are presented here for the first time (figure presented).MSC Codes 53A05, 51M15 Copyright © 2019, The Authors. All rights reserved.

关键词：

Duality on generalized cuspidal edges preserving singular set images and first fundamental forms

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Honda, Atsufumi Naokawa, Kosuke Saji, Kentaro Umehara, Masaaki Yamada, Kotaro Department of Applied Mathematics Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya Yokohama240-8501 Japan Department of Computer Science Faculty of Applied Information Science Hiroshima Institute of Technology 2-1-1 Miyake Saeki Hiroshima731-5193 Japan Department of Mathematics Faculty of Science Kobe University Rokko Kobe657-8501 Japan Department of Mathematical and Computing Sciences Tokyo Institute of Technology Tokyo152-8552 Japan Department of Mathematics Tokyo Institute of Technology Tokyo152-8551 Japan

In the second, fourth and fifth authors' previous work, a duality on generic real analytic cuspidal edges in the Euclidean 3-space R3 preserving their singular set images and first fundamental forms, was given. In this paper, we show that this duality extends to generalized cuspidal edges in R3, including cuspidal cross caps, and 5/2-cuspidal edges. When the singular set image has no symmetries and does not lie in a plane, the dual generalized cuspidal edge is not congruent to the original one. We construct concrete examples of these duals. Moreover, we give several new geometric insights on this duality. Copyright © 2019, The Authors. All rights reserved.

关键词： Wavefronts

Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Di, Boya Zhang, Hongliang Song, Lingyang Li, Yonghui Han, Zhu Vincent Poor, H. Department of Electronics Engineering Peking University Beijing China Department of Computing Imperial College London London United Kingdom Department of Electronical and Computer Engineering University of Houston HoustonTX United States School of Electrical and Information Engineering University of Sydney Australia School of Engineering and Applied Science Princeton University NY United States

Reconfigurable intelligent surface (RIS) has drawn considerable attention from the research society recently, which creates favorable propagation conditions by controlling the phase shifts of the reflected waves at the surface, thereby enhancing wireless transmissions. In this paper, we study a downlink multi-user system where the transmission from a multi-antenna base station (BS) to various users is achieved by the RIS reflecting the incident signals of the BS towards the users. Unlike most existing works, we consider the practical case where only a limited number of discrete phase shifts can be realized by the finite-sized RIS. Based on the reflection-dominated one-hop propagation model between the BS and users via the RIS, a hybrid beamforming scheme is proposed and the sum-rate maximization problem is formulated. Specifically, the continuous digital beamforming and discrete RIS-based analog beamforming are performed at the BS and the RIS, respectively, and an iterative algorithm is designed to solve this problem. Both theoretical analysis and numerical validations show that the RIS-based system can achieve a good sum-rate performance by setting a reasonable size of RIS and a small number of discrete phase shifts. Copyright © 2019, The Authors. All rights reserved.

关键词： Iterative methods

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Baheti, Bhakti Chakrabarty, Satrajit Akbari, Hamed Bilello, Michel Wiestler, Benedikt Schwarting, Julian Calabrese, Evan Rudie, Jeffrey Abidi, Syed Mousa, Mina Villanueva-Meyer, Javier Fields, Brandon K.K. Kofler, Florian Shinohara, Russell Takeshi Iglesias, Juan Eugenio Mok, Tony C.W. Chung, Albert C.S. Wodzinski, Marek Jurgas, Artur Marini, Niccolò Atzori, Manfredo Müller, Henning Grosbröhmer, Christoph Siebert, Hanna Hansen, Lasse Heinrich, Mattias P. Canalini, Luca Klein, Jan Gerken, Annika Heldmann, Stefan Hering, Alessa Hahn, Horst K. Meng, Mingyuan Bi, Lei Feng, Dagan Kim, Jinman Zeineldinal, Ramy A. Karar, Mohamed E. Mathis-Ullrich, Franziska Burgert, Oliver Abderezaei, Javid Pionteck, Aymeric Chopra, Agamdeep Kurt, Mehmet Yan, Kewei Yan, Yonghong Tang, Zhe Ma, Jianqiang Nasser, Sahar Almahfouz Kurian, Nikhil Cherian Meena, Mohit Shamsi, Saqib Sethi, Amit Tustison, Nicholas J. Avants, Brian B. Cook, Philip Gee, James C. Tian, Lin Greer, Hastings Niethammer, Marc Hoopesar, Andrew Hoffmannas, Malte Dalcaar, Adrian V. Christodoulidis, Stergios Estiene, Théo Vakalopoulou, Maria Paragios, Nikos Marcus, Daniel S. Davatzikos, Christos Sotiras, Aristeidis Menze, Bjoern Bakas, Spyridon Waldmannstetter, Diana Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO United States GE HealthCare San RamonCA United States University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Mallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMO United States Institute for Informatics Data Science & Biostatistics Washington University School of Medicine St. LouisMO United States Department of Bioengineering Santa Clara University Santa ClaraCA United States Department of Quantitative Biomedicine University of Zurich Zurich Switzerland Department of Computer Science TUM School of Computation Information and Technology Technical University of Munich Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Munich Germany Department of Nuclear Medicine University Hospital Regensburg Regensburg Germany University Hospital Regensburg Regensburg Germany Department of Radiology & Biomedical Imaging University of California San FranciscoCA United States Department of Radiology Duke University Medical Center DurhamNC United States Department of Radiology University of California San DiegoCA United States Helmholtz AI Helmholtz Munich Neuherberg Germany Penn Statistics in Imaging and Visualization Center Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Philadelphia United States Massachusetts General Hospital Harvard Medical School United States Centre for Medical Imaging Computing University College London United Kingdom The Hong Kong University of Science and Technology Hong Kong University of Applied Sciences West

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been considerable progress in developing general-purpose medical image registration techniques, they have not yet attained the requisite precision and reliability for this task, highlighting its inherent complexity. Here we describe the Brain Tumor Sequence Registration (BraTS-Reg) challenge, as the first public benchmark environment for deformable registration algorithms focusing on estimating correspondences between pre-operative and follow-up scans of the same patient diagnosed with a diffuse brain glioma. The challenge was conducted in conjunction with both the IEEE International Symposium on Biomedical Imaging (ISBI) 2022 and the International Conference on Medical Image computing and computer-Assisted Intervention (MICCAI) 2022. The BraTS-Reg data comprise de-identified multi-institutional multi-parametric MRI (mpMRI) scans, curated for size and resolution according to a canonical anatomical template, and divided into training, validation, and testing sets. Clinical experts annotated ground truth (GT) landmark points of anatomical locations distinct across the temporal domain. The training data with their GT annotations, were publicly released to enable the development of registration algorithms. The validation data, without their GT annotations, were also released to allow for algorithmic evaluation prior to the testing phase, which only allowed submission of containerized algorithms for evaluation on hidden hold-out testing data. Quantitative evaluation and ranking was based on the Median Euclidean Error (MEE), Robustness, and the determinant of the Jacobian of the displacement field. The top-ranked methodologies yielded similar performance across all evaluation metrics and shared several methodological commonalities, including pre-alignment, deep neural networks, inverse consistency

关键词： Magnetic resonance imaging

Unboxing quantum black box models: Learning non-markovian dynamics

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Krastanov, Stefan Head-Marsden, Kade Zhou, Sisi Flammia, Steven T. Jiang, Liang Narang, Prineha John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Yale Quantum Institute Yale University New HavenCT06520 United States Department of Physics Yale University New HavenCT06511 United States Pritzker School of Molecular Engineering University of Chicago ChicagoIL60637 United States AWS Center for Quantum Computing PasadenaCA91125 United States

Characterizing the memory properties of the environment has become critical for the high-fidelity control of qubits and other advanced quantum systems. However, current non-Markovian tomography techniques are either limited to discrete superoperators, or they employ machine learning methods, neither of which provide physical insight into the dynamics of the quantum system. To circumvent this limitation, we design learning architectures that explicitly encode physical constraints like the properties of completely-positive trace-preserving maps in a differential form. This method preserves the versatility of the machine learning approach without sacrificing the efficiency and fidelity of traditional parameter estimation methods. Our approach provides the physical interpretability that machine learning and opaque superoperators lack. Moreover, it is aware of the underlying continuous dynamics typically disregarded by superoperator-based tomography. This paradigm paves the way to noise-aware optimal quantum control and opens a path to exploiting the bath as a control and error mitigation resource. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum optics

Core imaging library - Part I: A versatile python framework for tomographic imaging

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Jørgensen, Jakob Sauer Ametova, Evelina Burca, Genoveva Fardell, Gemma Papoutsellis, Evangelos Pasca, Edoardo Thielemans, Kris Turner, Martin Warr, Ryan Lionheart, William Withers, Philip J. Department of Applied Mathematics and Computer Science Technical University of Denmark Richard Petersens Plads Building 324 Kgs. Lyngby2800 Denmark Laboratory for Applications of Synchrotron Radiation Karlsruhe Institute of Technology Kaiserstr. 12 Karlsruhe76131 Germany ISIS Neutron and Muon Source STFC UKRI Rutherford Appleton Laboratory Harwell Campus DidcotOX11 0QX United Kingdom Scientific Computing Department STFC UKRI Rutherford Appleton Laboratory Harwell Campus DidcotOX11 0QX United Kingdom Henry Royce Institute Department of Materials University of Manchester Oxford Road ManchesterM13 9PL United Kingdom Institute of Nuclear Medicine University College London London United Kingdom Research IT Services The University of Manchester Oxford Road ManchesterM13 9PL United Kingdom Department of Mathematics The University of Manchester Oxford Road ManchesterM13 9PL United Kingdom

MSC Codes 65K10, 65R32, 65F10We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional filtered back-projection reconstruction tends to be insufficient for highly noisy, incomplete, non-standard or multi-channel data arising for example in dynamic, spectral and in situ tomography. CIL provides an extensive modular optimisation framework for prototyping reconstruction methods including sparsity and total variation regularisation, as well as tools for loading, preprocessing and visualising tomographic data. The capabilities of CIL are demonstrated on a synchrotron example dataset and three challenging cases spanning golden-ratio neutron tomography, cone-beam X-ray laminography and positron emission tomography. © 2021, CC BY.

关键词： High level languages

Noise subtraction from KAGRA O3GK data using Independent Component Analysis

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Abe, H. Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Bae, S. Bae, Y. Bajpai, R. Cannon, K. Cao, Z. Capocasa, E. Chan, M. Chen, C. Chen, D. Chen, K. Chen, Y. Chiang, C.-Y. Chu, Y.-K. Eguchi, S. Eisenmann, M. Enomoto, Y. Flaminio, R. Fong, H.K. Fujii, Y. Fujikawa, Y. Fujimoto, Y. Fukunaga, I. Gao, D. Ge, G.-G. Ha, S. Hadiputrawan, I.P.W. Haino, S. Han, W.-B. Hasegawa, K. Hattori, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hirata, N. Hirose, C. Ho, T.-C. Hsieh, B.-H. Hsieh, H.-F. Hsiung, C. Huang, H.-Y. Huang, P. Huang, Y.-C. Huang, Y.-J. Hui, D.C.Y. Ide, S. Inayoshi, K. Inoue, Y. Ito, K. Itoh, Y. Jeon, C. Jin, H.-B. Jung, K. Jung, P. Kaihotsu, K. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanda, N. Kato, T. Kawaguchi, K. Kim, C. Kim, J. Kim, J.C. Kim, Y.-M. Kimura, N. Kiyota, T. Kobayashi, Y. Kohri, K. Kokeyama, K. Kong, A.K.H. Koyama, N. Kozakai, C. Kume, J. Kuromiya, Y. Kuroyanagi, S. Kwak, K. Lee, E. Lee, H.W. Lee, R. Leonardi, M. Li, K.L. Li, P. Lin, L.C.-C. Lin, C.-Y. Lin, E.T. Lin, F.-K. Lin, F.-L. Lin, H.L. Liu, G.C. Luo, L.-W. Ma'arif, M. Majorana, E. Michimura, Y. Mio, N. Miyakawa, O. Miyo, K. Miyoki, S. Mori, Y. Morisaki, S. Morisue, N. Moriwaki, Y. Nagano, K. Nakamura, K. Nakano, H. Nakano, M. Nakayama, Y. Narikawa, T. Naticchioni, L. Nguyen Quynh, L. Ni, W.-T. Nishimoto, T. Nishizawa, A. Nozaki, S. Obayashi, Y. Ogaki, W. Oh, J.J. Oh, K. Ohashi, M. Ohashi, T. Ohkawa, M. Ohta, H. Okutani, Y. Oohara, K. Oshino, S. Otabe, S. Pan, K.-C. Parisi, A. Park, J. Peña Arellano, F.E. Saha, S. Saito, Y. Sakai, K. Sawada, T. Sekiguchi, Y. Shao, L. Shikano, Y. Shimizu, H. Shimode, K. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Song, I. Sugimoto, R. Suresh, J. Suzuki, T. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takano, S. Takeda, H. Takeda, M. Tanaka, K. Tanaka, T. Tanaka, T. Tanioka, S. Taruya, A. Graduate School of Science Tokyo Institute of Technology Meguro-ku Tokyo152-8551 Japan Mitaka City Tokyo181-8588 Japan Mitaka City Tokyo181-8588 Japan Department of Physics The University of Tokyo Bunkyo-ku Tokyo113-0033 Japan The University of Tokyo Bunkyo-ku Tokyo113-0033 Japan Earthquake Research Institute The University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Gravitational Wave Science Project Hirosaki University Aomori Hirosaki City036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences Yuseong-gu Daejeon34047 Korea Republic of Ibaraki Tsukuba City305-0801 Japan Department of Astronomy Beijing Normal University Beijing100875 China Department of Applied Physics Fukuoka University Jonan Fukuoka Fukuoka City814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City25137 Taiwan Department of Physics Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City32001 Taiwan Department of Physics National Tsing Hua University Hsinchu30013 Taiwan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Université Savoie Mont Blanc CNRS IN2P3 AnnecyF-74941 France Department of Astronomy The University of Tokyo Mitaka City Tokyo181-8588 Japan Faculty of Engineering Niigata University Nishi-ku Niigata Niigata City950-2181 Japan Department of Physics Graduate School of Science Osaka City University Sumiyoshi-ku Osaka City Osaka558-8585 Japan Chinese Academy of Sciences Xiao Hong Shan Wuhan430071 China Ulju-gun Ulsan44919 Korea Republic of Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China KAGRA Observatory The University of Tok

In April 2020, KAGRA conducted its first science observation in combination with the GEO 600 detector (O3GK) for two weeks. According to the noise budget estimation, suspension control noise in the low frequency band and acoustic noise in the middle frequency band are identified as the dominant contribution. In this study, we show that such noise can be reduced in offline data analysis by utilizing a method called Independent Component Analysis (ICA). Here the ICA model is extended from the one studied in iKAGRA data analysis by incorporating frequency dependence while linearity and stationarity of the couplings are still assumed. By using optimal witness sensors, those two dominant contributions are mitigated in the real observational data. We also analyze the stability of the transfer functions for whole two weeks data in order to investigate how the current subtraction method can be practically used in gravitational wave search. Copyright © 2022, The Authors. All rights reserved.

关键词： Data handling

Modelling and Simulation of Lily flowers using PDE Surfaces

学校读者我要写书评

暂无评论

Modelling and Simulation of Lily flowers using PDE Surfaces

International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

作者： Ehtzaz Chaudhry Jian Chang Hassan Ugail Alexander Malyshev Alfonso Carriazo Andres Iglesias Zulfiqar Habib Allah Bux Sargano Habibollah Haron Algirdas Noreika Lihua You Jian Jun Zhang NCCA Bournemouth University Poole UK Center for Visual Computing University of Bradford Bradford UK Department of Mathematics University of Bergen Bergen Norway Faculty of Mathematics University of Seville Sevilla Spain Department of Applied Mathematics and Computational Sciences University of Cantabria Spain Department of Computer Science COMSATS University Islamabad Lahore Pakistan Faculty of Computing Universiti Teknologi Malaysia Johor Bahru Malaysia Indeform Ltd Kaunas Lithuania

This paper presents a partial differential equation (PDE)-based surface modelling and simulation framework for lily flowers. We use a PDE-based surface modelling technique to represent shape of a lily flower and PDE-based dynamic simulation to animate blossom and decay processes of lily flowers. To this aim, we first automatically construct the geometry of lily flowers from photos to obtain feature curves. Second, we apply a PDE-based surface modelling technique to generate sweeping surfaces to obtain geometric models of the flowers. Then, we use a physics-driven and data-based method and introduce the flower shapes at the initial and final positions into our proposed dynamic deformation model to generate a realistic deformation of flower blossom and decay. The results demonstrate that our proposed technique can create realistic flower models and their movements and shape changes against time efficiently with a small data size.

关键词：

Khuri-Treiman analysis of J/ψ→π+π−π0

学校读者我要写书评

暂无评论

Physical Review D 2023年第1期108卷 014035-014035页

作者： M. Albaladejo S. Gonzàlez-Solís Ł. Bibrzycki C. Fernández-Ramírez N. Hammoud V. Mathieu M. Mikhasenko G. Montaña R. J. Perry A. Pilloni A. Rodas W. A. Smith A. Szczepaniak D. Winney Instituto de Física Corpuscular (IFIC) Centro Mixto CSIC-Universidad de Valencia E-46071 Valencia Spain Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA AGH University of Krakow Faculty of Physics and Applied Computer Science al. Adama Mickiewicza 30 30-059 Kraków Departamento de Física Interdisciplinar Universidad Nacional de Educación a Distancia (UNED) Madrid E-28040 Spain Instituto de Ciencias Nucleares Universidad Nacional Autónoma de México Ciudad de México 04510 Mexico Institute of Nuclear Physics Polish Academy of Sciences 31-342 Kraków Poland Departament de Física Quàntica i Astrofísica and Institut de Ciències del Cosmos Universitat de Barcelona E08028 Barcelona Spain Departamento de Física Teórica Universidad Complutense de Madrid and IPARCOS 28040 Madrid Spain ORIGINS Excellence Cluster 85748 Garching Germany Ludwig-Maximilians-Universität 80539 Munich Germany Theory Center Thomas Jefferson National Accelerator Facility Newport News Virginia 23606 USA Dipartimento di Scienze Matematiche e Informatiche Scienze Fisiche e Scienze della Terra Università degli Studi di Messina I-98122 Messina Italy INFN Sezione di Catania I-95123 Catania Italy Department of Physics Indiana University Bloomington Indiana 47405 USA Center for Exploration of Energy and Matter Indiana University Bloomington Indiana 47403 USA Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China

We study the decay J/ψ→π+π−π0 within the framework of the Khuri-Treiman equations. We find that the BESIII experimental dipion mass distribution in the ρ(770)-region is well reproduced with a once-subtracted P-wave amplitude. Furthermore, we show that F-wave contributions to the amplitude improve the description of the data in the ππ mass region around 1.5 GeV. We also present predictions for the J/ψ→π0γ* transition form factor.

关键词： Form factors Particle interactions Strong interaction Mesons