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Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

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arXiv 2019年

作者： Shenkman, Yigal Qutteineh, Bilal Joskowicz, Leo Szeskin, Adi Azraq, Yusef Mayer, Arnaldo Eshed, Iris Dept. of Orthopaedic Surgery Hadassah Hebrew University Medical Center Jerusalem Israel Department of Radiology Hadassah Hebrew University Medical Center Jerusalem Israel Computational Imaging Laboratory Sheba Medical Center Tel Hashomer Israel Department of Radiology Sheba Medical Center Tel Hashomer Israel Sackler School of Medicine Tel Aviv University Tel Aviv Israel Rachel and Selim Benin School of Computer Science and Engineering Hebrew University of Jerusalem Edmond J. Safra Campus Givat RamJerusalem9190401 Israel

StaNdaRT: A repository of standardised test models and outputs for supernova radiative transfer

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arXiv 2022年

作者： Blondin, Stéphane Blinnikov, Sergei Callan, Fionntan P. Collins, Christine E. Dessart, Luc Even, Wesley Flörs, Andreas Fullard, Andrew G. Hillier, D. John Jerkstrand, Anders Kasen, Daniel Katz, Boaz Kerzendorf, Wolfgang Kozyreva, Alexandra O’Brien, Jack Pássaro, Ezequiel A. Roth, Nathaniel Shen, Ken J. Shingles, Luke Sim, Stuart A. Singhal, Jaladh Smith, Isaac G. Sorokina, Elena Utrobin, Victor P. Vogl, Christian Williamson, Marc Wollaeger, Ryan Woosley, Stan E. Wygoda, Nahliel Aix Marseille Univ CNRS CNES LAM Marseille France Unidad Mixta Internacional Franco-Chilena de Astronomía CNRS INSU UMI 3386 Instituto de Astrofísica Pontificia Universidad Católica de Chile Santiago Chile Moscow117218 Russia Sternberg Astronomical Institute Moscow State University Moscow119234 Russia The University of Tokyo Institutes for Advanced Study The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8583 Japan Astrophysics Research Centre School of Mathematics and Physics Queen’s University Belfast Northern Ireland BelfastBT7 1NN United Kingdom GSI Helmholtzzentrum für Schwerionenforschung Planckstraße 1 Darmstadt64291 Germany Institut d’Astrophysique de Paris CNRS Sorbonne Université 98 bis boulevard Arago Paris75014 France Center for Theoretical Astrophysics Los Alamos National Laboratory Los AlamosNM87545 United States Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States Department of Physics and Astronomy Michigan State University East LansingMI48823 United States University of Pittsburgh 3941 O’Hara Street PittsburghPA15260 United States The Oskar Klein Centre Department of Astronomy Stockholm University AlbaNova StockholmSE-10691 Sweden Departments of Physics and Astronomy University of California Berkeley Lawrence Berkeley National Laboratory United States Dept. of Particle Phys. & Astrophys. Weizmann Institute of Science Rehovot76100 Israel Department of Computational Mathematics Science and Engineering Michigan State University East LansingMI48824 United States Max-Planck-Institut für Astrophysik Karl-Schwarzschild-Straße 1 Garching bei München85748 Germany Facultad de Ciencias Astronómicas y Geofísicas Universidad Nacional de La Plata La PlataB1900 Argentina Department of Astronomy Theoretical Astrophysics Center University of California BerkeleyCA94720 United States Institute of Astronomy Russian Academy of Sciences Pyatnitskaya St. 48 Moscow119017 Russia D

We present the first results of a comprehensive supernova (SN) radiative-transfer (RT) code-comparison initiative (StaNdaRT), where the emission from the same set of standardised test models is simulated by currently used RT codes. We ran a total of ten codes on a set of four benchmark ejecta models of Type Ia SNe. We consider two sub-Chandrasekhar-mass (Mtot = 1.0 Mo) toy models with analytic density and composition profiles and two Chandrasekhar-mass delayed-detonation models that are outcomes of hydrodynamical simulations. We adopt spherical symmetry for all four models. The results of the different codes, including the light curves, spectra, and the evolution of several physical properties as a function of radius and time are provided in electronic form in a standard format via a public repository. We also include the detailed test model profiles and several Python scripts for accessing and presenting the input and output files. We also provide the code used to generate the toy models studied here. In this paper, we describe the test models, radiative-transfer codes, and output formats in detail, and provide access to the repository. We present example results of several key diagnostic features. © 2022, CC BY.

关键词： Radiative transfer

Forecasting Smart Grid Load on the Wire

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Forecasting Smart Grid Load on the Wire

New York Scientific data Summit (NYSDS)

作者： Jin Xu Shilpi Bhattacharyya Dimitrios Katramatos Shinjae Yoo Meng Yue Electrical Engineering Stony Brook University Stony Brook NY USA Computer Science Dept. Stony Brook University Stony Brook NY USA Brookhaven National Lab. Computational Science Init. Upton NY USA Energy Science and Tech. Brookhaven National Lab. Upton NY USA

Here we present a use case of analysis on the wire framework applied to smart grid load forecasting application. In our preliminary study, we were able to demonstrate electrical load forecasting on each household leve... 详细信息

关键词： Load forecasting Smart grids Wires Handheld computers Scientific computing Forecasting Electrical engineering

Creating bus timetables with maximal synchronization by a new algorithm based on the PSO 17

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Creating bus timetables with maximal synchronization by a ne...

17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Tian, Daxin Liu, Wenhao Guo, Peng Rong, Hui Wang, Wenyang Gong, Jinfeng Wang, Yunpeng Liu, He Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang Univ. Beijing100191 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang Univ. Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing210096 China Quartermaster Equipment Institute of the General Logistics Dept. of CPLA Beijing100010 China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

This paper addresses the problem of receiving a timetable for a settled network with maximal synchronization. In this paper, a model has been developed to solve the problem which attaches importance to creating a timetable for maximizing their synchronization and enables the transfer of passengers from one route to another with least waiting times at transfer nodes. Next, this problem is formulated as a mixed integer linear programming problem, and a new algorithm based on the traditional particle swarm optimization (PSO) has been developed to solve the problem in a short time. Finally, the relationship of iterative time and the complexity of the given network is qualitatively established. © ASCE.

关键词： Synchronization

Poster abstract: An open smart city IoT test bed: Street light poles as smart city spines 2

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Poster abstract: An open smart city IoT test bed: Street lig...

2nd IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2017

作者： Amrutur, Bharadwaj Rajaraman, Vasanth Acharya, Srikrishna Ramesh, Rakshit Joglekar, Ashish Sharma, Abhay Simmhan, Yogesh Lele, Abhijit Mahesh, Ashwin Sankaran, Sathya RBCCPS IISc Bangalore India Dept. of Computation and Data Science IISc Bangalore India Robert Bosch Engineering and Business Solutions Bangalore India Mapunity Inc. Bangalore India

ISBN: (纸本)9781450349666

Street light poles will be a key enabler for a smart city's hardware infrastructure, thanks to their ubiquity throughout the city as well as access to power. We propose an IoT test bed around light poles for the city, with a modular hardware and *** architecture to enable experimentation with various technologies. © 2017 ACM.

关键词： Poles

2022 Roadmap on Neuromorphic Computing and engineering

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arXiv 2021年

作者： Christensen, Dennis Valbjørn Dittmann, Regina Linares-Barranco, Bernabé Sebastian, Abu Le Gallo, Manuel Redaelli, Andrea Slesazeck, Stefan Mikolajick, Thomas Spiga, Sabina Menzel, Stephan Valov, Ilia Milano, Gianluca Ricciardi, Carlo Liang, Shi-Jun Miao, Feng Lanza, Mario Quill, Tyler J. Keene, Scott T. Salleo, Alberto Grollier, Julie Marković, Danijela Mizrahi, Alice Yao, Peng Yang, J. Joshua Indiveri, Giacomo Strachan, John Paul Datta, Suman Vianello, Elisa Valentian, Alexandre Feldmann, Johannes Li, Xuan Pernice, Wolfram H.P. Bhaskaran, Harish Furber, Steve Neftci, Emre Scherr, Franz Maass, Wolfgang Ramaswamy, Srikanth Tapson, Jonathan Panda, Priyadarshini Kim, Youngeun Tanaka, Gouhei Thorpe, Simon Bartolozzi, Chiara Cleland, Thomas A. Posch, Christoph Liu, Shih-Chii Panuccio, Gabriella Mahmud, Mufti Mazumder, Arnab Neelim Hosseini, Morteza Mohsenin, Tinoosh Donati, Elisa Tolu, Silvia Galeazzi, Roberto Christensen, Martin Ejsing Holm, Sune Ielmini, Daniele Pryds, N. Department of Energy Conversion and Storage Technical University of Denmark Kgs. LyngbyDK-2800 Denmark Peter Gruenberg Institute 7 Forschungszentrum Juelich GmbH Juelich52425 Germany JARA-FIT RWTH Aachen University Aachen52056 Germany CSIC Universidad de Sevilla Seville41092 Spain IBM Research Zurich Switzerland STMicroelectronics Agrate Italy Dresden01187 Germany Institute of Semiconductors and Microsystems TU Dresden Dresden Germany CNR-IMM Unit of Agrate Brianza via C. Olivetti 2 MB Agrate Brianza Italy Juelich Germany Torino Italy Department of Applied Science and Technology Politecnico di Torino Torino Italy National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing China Thuwal23955-6900 Saudi Arabia Department of Materials Science and Engineering Stanford University StanfordCA94305 United States Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Unité Mixte de Physique CNRS Thales Université Paris-Saclay Palaiseau91767 France Electrical and Computer Engineering Department University of Southern California Los AngelesCA United States Institute of Neuroinformatics University of Zurich ETH Zurich Switzerland Hewlett Packard Laboratories Hewlett Packard Enterprise San JoseCA United States Department of Electrical Engineering University of Notre Dame Notre DameIN United States CEA LETI Université Grenoble Alpes Grenoble France CEA LIST Université Grenoble Alpes Grenoble France Department of Materials University of Oxford Parks Road OxfordOX1 3PH United Kingdom Institute of Physics University of Münster Heisenbergstr. 11 Heisenbergstr Münster48149 Germany Center for Soft Nanoscience University of Münster Münster48149 Germany The University of Manchester United Kingdom Department of Cognitive Sciences University of California Irvine IrvineCA United States Institute of Theoretica

Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our brain does. These needs can be addressed by neuromorphic computing systems which are inspired by the biological concepts of the human brain. This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors. Among their potential future applications, an important niche is moving the control from data centers to edge devices. The aim of this Roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic technology, namely materials, devices, neuromorphic circuits, neuromorphic algorithms, applications, and ethics. The Roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. We hope that this Roadmap will be a useful resource by providing a concise yet comprehensive introduction to readers outside this field, for those who are just entering the field, as well as providing future perspectives for those who are well established in the neuromorphic computing community. © 2021,

关键词： data transfer

The Extreme Stellar-Signals Project III. Combining Solar data from HARPS, HARPS-N, EXPRES, and NEID

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arXiv 2023年

作者： Zhao, Lily L. Dumusque, Xavier Ford, Eric B. Llama, Joe Mortier, Annelies Bedell, Megan Moulla, Khaled A.L. Bender, Chad F. Blake, Cullen H. Brewer, John M. Cameron, Andrew Collier Cosentino, Rosario Figueira, Pedro Fischer, Debra A. Ghedina, Adriano Gonzalez, Manuel Halverson, Samuel Kanodia, Shubham Latham, David W. Lin, Andrea S.J. Curto, Gaspare L.O. Lodi, Marcello Logsdon, Sarah E. Lovis, Christophe Mahadevan, Suvrath Monson, Andrew Ninan, Joe P. Pepe, Francesco Roettenbacher, Rachael M. Roy, Arpita Santos, Nuno C. Schwab, Christian Stefánsson, Guðmundur Szymkowiak, Andrew E. Terrien, Ryan C. Udry, Stephane Weiss, Sam A. Wildi, François Wildi, Thibault Wright, Jason T. Flatiron Institute Simons Foundation 162 Fifth Avenue New YorkNY10010 United States Astronomy Department of the University of Geneva 51 ch. des Maillettes Versoix1290 Switzerland Department of Astronomy & Astrophysics The Pennsylvania State University 525 Davey Laboratory University ParkPA16802 United States Center for Exoplanets and Habitable Worlds The Pennsylvania State University 525 Davey Laboratory University ParkPA16802 United States Institute for Computational & Data Sciences The Pennsylvania State University University ParkPA16802 United States Lowell Observatory 1400 W. Mars Hill Rd. FlagstaffAZ86001 United States School of Physics & Astronomy University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom Center for Computational Astrophysics Flatiron Institute Simons Foundation 162 Fifth Avenue New YorkNY10010 United States Steward Observatory University of Arizona 933 N. Cherry Ave TucsonAZ85721 United States Department of Physics and Astronomy University of Pennsylvania 209 S 33rd St PhiladelphiaPA19104 United States Dept. of Physics & Astronomy San Francisco State University 1600 Holloway Ave. San FranciscoCA94132 United States SUPA School of Physics & Astronomy University of St Andrews North Haugh St AndrewsKY169SS United Kingdom Centre for Exoplanet Science University of St Andrews North Haugh St AndrewsKY169SS United Kingdom Fundación Galileo Galilei-INAF Rambla José Ana Fernandez Pérez 7 Tenerife Breña Baja38712 Spain Instituto de Astrofísica e Ciências do Espaço Universidade do Porto CAUP Rua das Estrelas Porto4150-762 Portugal Department of Astronomy Yale University 52 Hillhouse Ave. New HavenCT06511 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States Earth and Planets Laboratory Carnegie Institution for Science 5241 Broad Branch Road NW WashingtonDC20015 United States Center for Astrophysics | Harvard & Smithsonia

We present an analysis of Sun-as-a-star observations from four different high-resolution, stabilized spectrographs-HARPS, HARPS-N, EXPRES, and NEID. With simultaneous observations of the Sun from four different instruments, we are able to gain insight into the radial velocity precision and accuracy delivered by each of these instruments and isolate instrumental systematics that differ from true astrophysical signals. With solar observations, we can completely characterize the expected Doppler shift contributed by orbiting Solar System bodies and remove them. This results in a data set with measured velocity variations that purely trace flows on the solar surface. Direct comparisons of the radial velocities measured by each instrument show remarkable agreement with residual intra-day scatter of only 15-30 cm s-1. This shows that current ultra-stabilized instruments have broken through to a new level of measurement precision that reveals stellar variability with high fidelity and detail. We end by discussing how radial velocities from different instruments can be combined to provide powerful leverage for testing techniques to mitigate stellar signals. Copyright © 2023, The Authors. All rights reserved.

关键词： Spectrometers

Multimodal content analysis for effective advertisements on YouTube

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arXiv 2017年

作者： Vedula, Nikhita Sun, Wei Lee, Hyunhwan Gupta, Harsh Ogihara, Mitsunori Johnson, Joseph Ren, Gang Parthasarathy, Srinivasan Dept. of Computer Science and Engineering Ohio State University Dept. of Marketing University of Miami Dept. of Computer Science University of Miami Center for Computational Science University of Miami

The rapid advances in e-commerce and Web 2.0 technologies have greatly increased the impact of commercial advertisements on the general public. As a key enabling technology, a multitude of recommender systems exists which analyzes user features and browsing patterns to recommend appealing advertisements to users. In this work, we seek to study the characteristics or attributes that characterize an effective advertisement and recommend a useful set of features to aid the designing and production processes of commercial advertisements. We analyze the temporal patterns from multimedia content of advertisement videos including auditory, visual and textual components, and study their individual roles and synergies in the success of an advertisement. The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users. Our proposed framework employs the signal processing technique of cross modality feature learning where data streams from different components are employed to train separate neural network models and are then fused together to learn a shared representation. Subsequently, a neural network model trained on this joint feature embedding representation is utilized as a classifier to predict advertisement effectiveness. We validate our approach using subjective ratings from a dedicated user study, the sentiment strength of online viewer comments, and a viewer opinion metric of the ratio of the Likes and Views received by each advertisement from an online platform. Copyright © 2017, The Authors. All rights reserved.

关键词： Signal processing

Inland port location planning based on user equilibrium 17

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Inland port location planning based on user equilibrium

17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Wei, Jingyi Tian, Daxin Rong, Hui Guo, Peng Wang, Wenyang Gong, Jinfeng Wang, Yunpeng Liu, He Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang Univ. Beijing100191 China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang Univ. Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing210096 China Automotive Engineering Research Institute China Automotive Technology and Research Center Tianjin300300 China Quartermaster Equipment Institute of the General Logistics Dept. Of CPLA Beijing100010 China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

With stable development of container transportation in shipping industry, the transit shipment from road to railway of inland ports plays a significant role in multimodal transport. This paper presents the method of inland port location planning based on user equilibrium. In the study, the virtual connection simulating the process of transfer in inland ports is conducted to measure the fitness of inland port location through the cargo volume on virtual connection. At last, the methodology was applied into practical experiment with the results showing that the method can locate the suit inland port location. © ASCE.

关键词： Location