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2016 Future Technologies Conference, FTC 2016

作者： Hernandez-Sanchez, E. Martinez-Perez, M. Elena Gastelum-Strozzi, A. Engineering Graduate Program Universidad Nacional Autónoma de México Ciudad de México Mexico Computer Science Department IIMAS Universidad Nacional Autónoma de México Apartado Postal 20-126 Ciudad de MéxicoC.P. 01000 Mexico CCADET-HGM Universidad Nacional Autónoma de México Ciudad de México Mexico

ISBN: (纸本)9781509041718

This paper deals with the estimation of intrinsic and extrinsic parameters in a fundus camera system. These parameters are fundamental to retrieve three-dimensional reconstruction of eye's structure, in our case, retinal blood vessels. In this paper we used the Zhang's algorithm to estimate the intrinsic parameters of the optical system. Besides, an alternative method to estimate the extrinsic parameters is proposed based on the kinect one sensor. These modifications provide an easy way to characterise the whole fundus camera system. Experimental validation was carried out to verify the accuracy of the proposed method. A cylindrical known object was reconstructed having and average error of 3.96%. A real eye's structure was also reconstructed from a fundus image pair. © 2016 IEEE.

关键词： Optical systems

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Proposal of Algorithm for Designating the Person in Charge of Page Turn of PEANUTS Considering the Concert program

Proposal of Algorithm for Designating the Person in Charge o...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Yasue Iijima Shigeru Fujita Susumu Konno Graduate School of Doctorial Program in Engineering Chiba Institute of Technology Narashino Chiba Japan Department of Computer Science Chiba Institute of Technology Narashino Chiba Japan Department of Advanced Media Chiba Institute of Technology Narashino Chiba Japan

ISBN: (纸本)9781509009886

In recent years, with the spread of applications such as electronic musical scores has been developed. However, existing electronic musical score applications were developed considering individual use (principally by pianists), and when using electronic musical score systems for a wind orchestra, for example, the load placed on the musical performers are effectively the same as when using paper scores. Therefore, in this study we were taking advantage of the characteristics of the tablet terminal, was carried out a proposal and trial production of the electronic musical score system PEANUTS for wind orchestra. Music of the data to be used in the PEANUTS is presupposed to reuse the score of paper that is currently being used. In PEANUTS, was focused on page turn as a load applied to the performer when playing musical piece in wind orchestra, we have proposed system of designating the person in charge of page turn to reduce the load based on algorithm of designating the person in charge of page turn for single music. However, the concert of wind orchestra usually play multiple music. In this paper, we were carried out the evaluation experiment considering the concert program. We were consider to resolve bias of the load value on the part of the performers by considering the concert program.

关键词： Turning Music Load modeling Standards Proposals Bars Algorithm design and analysis

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Correction to: Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

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Genome biology 2019年第1期20卷 72页

作者： Alexa B R McIntyre Rachid Ounit Ebrahim Afshinnekoo Robert J Prill Elizabeth Hénaff Noah Alexander Samuel S Minot David Danko Jonathan Foox Sofia Ahsanuddin Scott Tighe Nur A Hasan Poorani Subramanian Kelly Moffat Shawn Levy Stefano Lonardi Nick Greenfield Rita R Colwell Gail L Rosen Christopher E Mason Tri-Institutional Program in Computational Biology and Medicine New York NY USA. Department of Physiology and Biophysics Weill Cornell Medicine New York NY 10021 USA. The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York NY 10021 USA. Department of Computer Science and Engineering University of California Riverside CA 92521 USA. School of Medicine New York Medical College Valhalla NY 10595 USA. Accelerated Discovery Lab IBM Almaden Research Center San Jose CA 95120 USA. One Codex Reference Genomics San Francisco CA 94103 USA. University of Vermont Burlington VT 05405 USA. CosmosID Inc Rockville MD 20850 USA. Center for Bioinformatics and Computational Biology University of Maryland Institute for Advanced Computer Studies (UMIACS) College Park MD 20742 USA. HudsonAlpha Institute for Biotechnology Huntsville AL 35806 USA. Johns Hopkins University Bloomberg School of Public Health Baltimore MD USA. Department of Electrical and Computer Engineering Drexel University Philadelphia PA 19104 USA. gail.l.rosen@***. Department of Physiology and Biophysics Weill Cornell Medicine New York NY 10021 USA. chm2042@med.cornell.edu. The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York NY 10021 USA. chm2042@med.cornell.edu. The Feil Family Brain and Mind Research Institute New York NY 10065 USA. chm2042@med.cornell.edu.

Following publication of the original article [1], the authors would like to highlight the following two corrections.

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Deep neural networks for cochannel speaker identification 40

Deep neural networks for cochannel speaker identification

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Zhao, Xiaojia Wang, Yuxuan Wang, Deliang Department of Computer Science and Engineering Ohio State University ColumbusOH United States Center for Cognitive and Brain Sciences Ohio State University ColumbusOH United States

ISBN: (纸本)9781467369978

Speaker identification (SID) in cochannel speech, where two speakers are talking simultaneously over a single recording channel, is a challenging problem. Previous studies address this problem in the anechoic environment under the Gaussian mixture model (GMM) framework. On the other hand, cochannel SID in reverberant conditions has not been addressed. This paper studies cochannel SID in both anechoic and reverberant conditions. We explore deep neural networks (DNNs) for cochannel SID and propose a DNN-based recognition system. Evaluation results demonstrate the proposed DNN-based system outperforms the two state-of-the-art cochannel SID systems in both anechoic and reverberant conditions and various target-to-interferer ratios. © 2015 IEEE.

关键词： Cochannel speaker identification deep neural network Gaussian mixture model reverberation target-to-interferer ratio

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Edge pinning and transformation of defect lines induced by faceted colloidal rings in nematic liquid crystals

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Physical Review E 2016年第6期93卷 062704-062704页

作者： Bohdan Senyuk Qingkun Liu Ye Yuan Ivan I. Smalyukh Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering University of Colorado Boulder Colorado 80309 USA Soft Materials Research Center and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA

Nematic colloids exhibit a large diversity of topological defects and structures induced by colloidal particles in the orientationally ordered liquid crystal host fluids. These defects and field configurations define elastic interactions and medium-mediated self-assembly, as well as serve as model systems in exploiting the richness of interactions between topologies and geometries of colloidal surfaces, nematic fields, and topological singularities induced by particles in the nematic bulk and at nematic-colloidal interfaces. Here we demonstrate formation of quarter-strength surface-pinned disclinations, as well as a large variety of director field configurations with splitting and reconnections of singular defect lines, prompted by colloidal particles with sharp edges and size large enough to define strong boundary conditions. Using examples of faceted ring-shaped particles of genus g=1, we explore transformation of defect lines as they migrate between locations in the bulk of the nematic host to edge-pinned locations at the surfaces of particles and vice versa, showing that this behavior is compliant with topological constraints defined by mathematical theorems. We discuss how transformation of bulk and surface defect lines induced by faceted colloids can enrich the diversity of elasticity-mediated colloidal interactions and how these findings may impinge on prospects of their controlled reconfigurable self-assembly in nematic hosts.

关键词： Defects Nematic order Nematic liquid crystals

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Recurrent polynomial Network for dialogue state tracking with mismatched semantic parsers 16

Recurrent polynomial Network for dialogue state tracking wit...

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16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2015

作者： Xie, Qizhe Sun, Kai Zhu, Su Chen, Lu Yu, Kai Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Eng. SpeechLab Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781941643754

Recently, constrained Markov Bayesian polynomial (CMBP) has been proposed as a data-driven rule-based model for dialog state tracking (DST). CMBP is an approach to bridge rule-based models and statistical models. Recurrent Polynomial Network (RPN) is a recent statistical framework taking advantages of rulebased models and can achieve state-ofthe-art performance on the data corpora of DSTC-3, outperforming all submitted trackers in DSTC-3 including RNN. It is widely acknowledged that SLU's reliability influences tracker's performance greatly, especially in cases where the training SLU is poorly matched to the testing SLU. In this paper, this effect is analyzed in detail for RPN. Experiments show that RPN's tracking result is consistently the best compared to rule-based and statistical models investigated on different SLUs including mismatched ones and demonstrate RPN's is very robust to mismatched semantic parsers. © 2015 Association for Computational Linguistics.

关键词： Polynomials

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Consumption intent analysis in Chinese microblog

Consumption intent analysis in Chinese microblog

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2014 International Conference on Information Technology and Application, ITA2014

作者： Mao, Junkang Yao, Tianfang Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781138026773

With the development of Chinese microblog and E-commerce, the messages with opinions and intents expressed by users would have a significant impact on many domains. In this paper, we study on how to identify the consumption intent in Chinese microblog. We use text classification based on NB, SVM and EM-based transfer learning algorithm to identify consumption intent. And we compare NB, SVM and EM algorithm methods. Due to the freedom and irregular of the microblog posts, we consider more about preprocessing microblog raw data, which bring new challenges to the traditional text classification methods. © 2015 Taylor & Francis Group, London.

关键词： Classification (of information)

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Fast quantum algorithm for solving multivariate quadratic equations

arXiv

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arXiv 2017年

作者： Faugère, Jean-Charles Horan, Kelsey Kahrobaei, Delaram Kaplan, Marc Kashefi, Elham Perret, Ludovic UPMC Univ Paris 06 UMR 7606 LIP6 ParisF-75005 France CNRS UMR 7606 LIP6 ParisF-75005 France INRIA Paris Center France Program in Computer Science Graduate Center City University of New York 365 5th Ave New YorkNY10016 United States New York University Tandon School of Engineering BrooklynNY11201 United States School of Informatics University of Edinburgh 10 Crichton Street EdinburghEH8 9AB United Kingdom

In August 2015 the cryptographic world was shaken by a sudden and surprising announcement by the US National Security Agency (NSA) concerning plans to transition to post-quantum algorithms. Since this announcement post-quantum cryptography has become a topic of primary interest for several standardization bodies. The transition from the currently deployed public-key algorithms to post-quantum algorithms has been found to be challenging in many aspects. In particular the problem of evaluating the quantum-bit security of such post-quantum cryptosystems remains vastly open. Of course this question is of primarily concern in the process of standardizing the post-quantum cryptosystems. In this paper we consider the quantum security of the problem of solving a system of m Boolean multivariate quadratic equations in n variables (MQ2);a central problem in postquantum cryptography. When n = m, under a natural algebraic assumption, we present a Las-Vegas quantum algorithm solving MQ2that requires the evaluation of, on average, O(20.462n) quantum gates. To our knowledge this is the fastest algorithm for solving MQ2. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum cryptography

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Reversal of helicoidal twist handedness near point defects of confined chiral liquid crystals

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Physical Review E 2016年第5期93卷 052702-052702页

作者： Paul J. Ackerman Ivan I. Smalyukh Department of Physics University of Colorado Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering University of Colorado Boulder Colorado 80309 USA Soft Materials Research Center and Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA

Handedness of the director twist in cholesteric liquid crystals is commonly assumed to be the same throughout the medium, determined solely by the chirality of constituent molecules or chiral additives, albeit distortions of the ground-state helicoidal configuration often arise due to the effects of confinement and external fields. We directly probe the twist directionality of liquid crystal director structures through experimental three-dimensional imaging and numerical minimization of the elastic free energy and show that spatially localized regions of handedness opposite to that of the chiral liquid crystal ground state can arise in the proximity of twisted-soliton-bound topological point defects. In chiral nematic liquid crystal confined to a film that has a thickness less than the cholesteric pitch and perpendicular surface boundary conditions, twisted solitonic structures embedded in a uniform unwound far-field background with chirality-matched handedness locally relieve confinement-imposed frustration and tend to be accompanied by point defects and smaller geometry-required, energetically costly regions of opposite twist handedness. We also describe a spatially localized structure, dubbed a “twistion,” in which a twisted solitonic three-dimensional director configuration is accompanied by four point defects. We discuss how our findings may impinge on the stability of localized particlelike director field configurations in chiral and nonchiral liquid crystals.

关键词： Chirality Defects Liquid crystals

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