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30th Annual Conference of the IEEE Photonics Society, IPC 2017

作者： Nguyen, Hoang ParvezArnob, Masud Shih, Wei-Chuan Program of Materials Science and Engineering University of Houston TX77204 United States Department of Electrical and Computer Engineering University of Houston TX77204 United States Department of Biomedical Engineering University of Houston TX77204 United States Department of Chemistry University of Houston TX77204 United States

ISBN: (纸本)9781509065783

A compact light delivery device capable of delivering light to multiple desired locations is essential for many biomedical applications. Here, we demonstrate the use of laser micro-ablation to create controllable conicalshaped cavities on optical fiber to enable a multi-point side-firing configuration using a single fiber. © 2017 IEEE.

关键词： Tissue

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Correction to: Channel-mediated astrocytic glutamate modulates hippocampal synaptic plasticity by activating postsynaptic NMDA receptors

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Molecular brain 2021年第1期14卷 103页

作者： Hyungju Park Kyung-Seok Han Jinsoo Seo Jaekwang Lee Shashank M Dravid Junsung Woo Heejung Chun Sukhee Cho Jin Young Bae Heeyoung An Woohyun Koh Bo-Eun Yoon Rolando Berlinguer-Palmini Guido Mannaioni Stephen F Traynelis Yong Chul Bae Se-Young Choi C Justin Lee Center for Neural Science Korea Institute of Science and Technology (KIST) Seoul Korea. Neuroscience Program University of Science and Technology (UST) Daejeon Korea. Department of Physiology and Dental Research Institute Seoul National University School of Dentistry Seoul Korea. Department of Pharmacology Creighton University Omaha NE USA. Department of Oral Anatomy and Neurobiology School of Dentistry Kyungpook National University Daegu Korea. KU-KIST Graduate School of Converging Science and Technology Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Korea. Department of Nanobiomedical Science Dankook University Cheonan Korea. School of Electrical and Electronic Engineering Institute of Neuroscience Newcastle University Newcastle upon Tyne UK. Department of Pharmacology University of Florence Florence Italy. Department of Pharmacology Emory University Atlanta GA USA. Department of Physiology and Dental Research Institute Seoul National University School of Dentistry Seoul Korea. sychoi@snu.ac.kr. Center for Neural Science Korea Institute of Science and Technology (KIST) Seoul Korea. cjl@kist.re.kr. Neuroscience Program University of Science and Technology (UST) Daejeon Korea. cjl@kist.re.kr. KU-KIST Graduate School of Converging Science and Technology Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Korea. cjl@kist.re.kr.

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A comparative study of Droop Compensation Functions for State-of-Charge based adaptive droop control for Distributed Energy Storage Systems 8

A comparative study of Droop Compensation Functions for Stat...

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8th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2017

作者： Marcelino, Frederico L.F. Sathler, Hans H. Silva, Waner W.A.G. De Oliveira, Thiago R. Donoso-Garcia, Pedro F. Graduate Program in Electrical Engineering Federal University of Minas Gerais Av. Antonio Carlos 6627 Belo Horizonte MG31270-901 Brazil Department of Electronic Engineering Federal University of Minas Gerais-UFMG Belo Horizonte Brazil

ISBN: (纸本)9781509053384

DC microgrid applications normally use Distributed Energy Storage Systems (DESS) to smooth out energy balance due to the non-dispatchable characteristics of renewable resources. Since the State of Charge (SoC) of each energy storage unit (ESU) can differ significantly SoC based adaptive droop control methods for SoC equalization has been proposed in literature. A droop compensation function is used to vary the DESS converter droop resistance according to each storage unit SoC, which promotes gradual SoC equalization and power sharing. In previous works power and exponential functions have been used to implement the droop compensation, however, no information can be found regarding the performance of other mathematical functions on DESS SoC balancing. This paper investigates the employment of a set of basic mathematical functions in SoC based adaptive droop control and discusses the influence of tuning parameters on equalization speed and voltage deviation. © 2017 IEEE.

关键词： Exponential functions

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Semi-supervised deep metrics for image registration

arXiv

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arXiv 2018年

作者： Sedghi, Alireza Luo, Jie Mehrtash, Alireza Pieper, Steve Tempany, Clare M. Kapur, Tina Mousavi, Parvin Wells, William M. Medical Informatics Laboratory Queens University KingstonON Canada Radiology Department Brigham and Womens Hospital Harvard Medical School BostonMA United States Graduate School of Frontier Sciences University of Tokyo Japan Department of Electrical and Computer Engineering University of British Columbia VancouverBC Canada

Deep metrics have been shown effective as similarity measures in multi-modal image registration;however, the metrics are currently constructed from aligned image pairs in the training data. In this paper, we propose a strategy for learning such metrics from roughly aligned training data. Symmetrizing the data corrects bias in the metric that results from misalignment in the data (at the expense of increased variance), while random perturbations to the data, i.e. dithering, ensures that the metric has a single mode, and is amenable to registration by optimization. Evaluation is performed on the task of registration on separate unseen test image pairs. The results demonstrate the feasibility of learning a useful deep metric from substantially misaligned training data, in some cases the results are significantly better than from Mutual Information. Data augmentation via dithering is, therefore, an effective strategy for discharging the need for well-aligned training data;this brings deep metric registration from the realm of supervised to semi-supervised machine learning. Copyright © 2018, The Authors. All rights reserved.

关键词： Image registration

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VLA Legacy Survey of Molecular Gas in Massive Star-forming Galaxies at High Redshift

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Astrophysical Journal 2023年第2期945卷 128-128页

作者： Castillo, Marta Frias Hodge, Jacqueline Rybak, Matus van der Werf, Paul Smail, Ian Birkin, Jack E. Chen, Chian-Chou Chapman, Scott C. Hill, Ryley del P.Lagos, Claudia Liao, Cheng-Lin da Cunha, Elisabete Rivera, Gabriela Calistro Chen, Jianhang Jiménez-Andrade, E.F. Murphy, Eric J. Scott, Douglas Swinbank, A.M. Walter, Fabian Ivison, R.J. Dannerbauer, Helmut Leiden Observatory Leiden University P.O. Box 9513 Leiden 2300 RA Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft 2628 CD Netherlands Centre for Extragalactic Astronomy Department of Physics Durham University South Road Durham DH1 3LE United Kingdom Academia Sinica Institute of Astronomy and Astrophysics (ASIAA) No.1 Section 4 Roosevelt Road Taipei 10617 Taiwan Department of Physics and Atmospheric Science Dalhousie University Halifax Halifax B3H 3J5 NS Canada Department of Physics and Astronomy University of British Columbia 6225 Agricultural Road Vancouver V6T 1Z1 Canada International Centre for Radio Astronomy Research (ICRAR) M468 University of Western Australia 35 Stirling Hwy Crawley 6009 WA Australia ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D) Australia Cosmic Dawn Center (DAWN) Rådmandsgade 62 København DK-2200 Denmark Graduate Institute of Astrophysics National Taiwan University Taipei 10617 Taiwan International Centre for Radio Astronomy Research University of Western Australia 35 Stirling Hwy Crawley 6009 WA Australia European Southern Observatory (ESO) Karl-Schwarzschild-Straße 2 Garching bei München D-85748 Germany Instituto de Radioastronomía y Astrofísica Universidad Nacional Autónoma de México Antigua Carretera a Pátzcuaro # 8701 Ex-Hda. San José de la Huerta Morelia Michoacán C.P. 58089 Mexico National Radio Astronomy Observatory 520 Edgemont Road Charlottesville 22903 VA United States Max Planck Institute for Astronomy Königstuhl 17 Heidelberg D-69117 Germany National Radio Astronomy Observatory Pete V. Domenici Array Science Center P.O. Box O Socorro 87801 NM United States Institute for Astronomy University of Edinburgh Royal Observatory Edinburgh EH9 3HJ United Kingdom Instituto Astrofísica de Canarias (IAC) Tenerife La Laguna E-38205 Spain Dpto. Astrofísica Universidad de la Laguna Tenerife La

We present the initial results of an ongoing survey with the Karl G. Jansky Very Large Array targeting the CO(J = 1-0) transition in a sample of 30 submillimeter-selected, dusty star-forming galaxies (SFGs) at z = 2-5 with existing mid-J CO detections from the Atacama Large Millimeter/submillimeter Array and NOrthern Extended Millimeter Array, of which 17 have been fully observed. We detect CO(1-0) emission in 11 targets, along with three tentative (∼1.5σ-2σ) detections;three galaxies are undetected. Our results yield total molecular gas masses of 6-23 × 10¹⁰ (α _CO/1) M _⊙, with gas mass fractions, f _gas = M _mol/(M _*+M _mol), of 0.1-0.8 and a median depletion time of (140 ± 70) Myr. We find median CO excitation ratios of r ₃₁ = 0.75 ± 0.39 and r ₄₁ = 0.63 ± 0.44, with significant scatter. We find no significant correlation between the excitation ratio and a number of key parameters such as redshift, CO(1-0) line width, or Σ_SFR. We only find a tentative positive correlation between r ₄₁ and the star-forming efficiency, but we are limited by our small sample size. Finally, we compare our results to predictions from the SHARK semi-analytical model, finding a good agreement between the molecular gas masses, depletion times, and gas fractions of our sources and their SHARK counterparts. Our results highlight the heterogeneous nature of the most massive SFGs at high redshift, and the importance of CO(1-0) observations to robustly constrain their total molecular gas content and interstellar medium properties. © 2023. The Author(s). Published by the American Astronomical Society.

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A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing

A blind deconvolution approach to discontinuity location and...

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European Signal Processing Conference (EUSIPCO)

作者： Giovanni A. Guarneri Daniel R. Pipa Flávio Neves Lúcia V. R. de Arruda Graduate Program in Electrical Engineering (PPGEE) Federal University of Technology - Paraná (UTFPR) Pato Branco Paraná Brazil Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba Paraná Brazil

This paper presents a new algorithm for discontinuity location and characterization using A-scan signals from an ultrasonic inspection system. The algorithm is based on solving an inverse problem in which the observation model is different from that traditionally used. In this model, the input vector represents the location of the geometrical center of the discontinuity and the scattering amplitude of the discontinuity is embedded in the impulse response of the ultrasonic inspection system. First, we jointly estimate the locations and the scattering amplitudes of the discontinuities from the acquired signals. Then, the geometrical parameters of the discontinuities are calculated from the estimated scattering amplitude. The method is tested to characterize side-drilled holes using both synthetic and real data. The results demonstrates the effectiveness of the algorithm.

关键词： Signal processing algorithms Synchronous digital hierarchy Scattering Transducers Acoustics Approximation algorithms Europe

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Manifold learning for organizing unstructured sets of process observations

arXiv

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arXiv 2018年

作者： Dietrich, Felix Kooshkbaghi, Mahdi Bollt, Erik M. Kevrekidis, Ioannis G. Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University BaltimoreMD21218 United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Mathematics Department of Electrical and Computer Engineering Clarkson Center for Complex Systems Science Clarkson University PotsdamNY13699-5815 United States

Data mining is routinely used to organize ensembles of short temporal observations so as to reconstruct useful, low-dimensional realizations of an underlying dynamical system. In this paper, we use manifold learning to organize unstructured ensembles of observations ("trials") of a system's response surface. We have no control over where every trial starts;and during each trial operating conditions are varied by turning "agnostic" knobs, which change system parameters in a systematic but unknown way. As one (or more) knobs "turn" we record (possibly partial) observations of the system response. We demonstrate how such partial and disorganized observation ensembles can be integrated into coherent response surfaces whose dimension and parametrization can be systematically recovered in a data-driven fashion. The approach can be justified through the Whitney and Takens embedding theorems, allowing reconstruction of manifolds/attractors through different types of observations. We demonstrate our approach by organizing unstructured observations of response surfaces, including the reconstruction of a cusp bifurcation surface for Hydrogen combustion in a Continuous Stirred Tank Reactor. Finally, we demonstrate how this observation-based reconstruction naturally leads to informative transport maps between input parameter space and output/state variable *** codes 37M20 Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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Learning from learning machines: A new generation of AI technology to meet the needs of science

arXiv

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arXiv 2021年

作者： Pion-Tonachini, Luca Bouchard, Kristofer Martin, Hector Garcia Peisert, Sean Holtz, W. Bradley Aswani, Anil Dwivedi, Dipankar Wainwright, Haruko Pilania, Ghanshyam Nachman, Benjamin Marrone, Babetta L. Falco, Nicola Prabhat Arnold, Daniel Wolf-Yadlin, Alejandro Powers, Sarah Climer, Sharlee Jackson, Quinn Carlson, Ty Sohn, Michael Zwart, Petrus Kumar, Neeraj Justice, Amy Tomlin, Claire Jacobson, Daniel Micklem, Gos Gkoutos, Georgios V. Bickel, Peter J. Cazier, Jean-Baptiste Müller, Juliane Webb-Robertson, Bobbie-Jo Stevens, Rick Anderson, Mark Kreutz-Delgado, Ken Mahoney, Michael W. Brown, James B. Pattern Computer Inc. Friday HarborWA98250 United States Biosciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computational Research Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Helen Wils Neuroscience Institute Redwood Center for Theoretical Neuroscience Uc Berkeley BerkeleyCA94720 United States Doe Agile BioFoundry Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Joint BioEnergy Institute Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Bcam Basque Center for Applied Mathematics Bilbao48009 Spain Computer Science University of California Davis DavisCA95616 United States Cenic La MiradaCA90638 United States Health Informatics University of California Davis School of Medicine SacramentoCA95817 United States Berkeley Institute for Data Science University of California Berkeley BerkeleyCA94720 United States Industrial Engineering and Operations Research University of California Berkeley BerkeleyCA94720 United States Environmental & Earth Sciences Area Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Nuclear Engineering University of California Berkeley BerkeleyCA94720 United States Materials Science and Technology Division Los Alamos National Laboratory Los AlamosNM87545 United States Physics Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Bioscience Division Los Alamos National Laboratory Los AlamosNM87545 United States Earth and Environmental Sciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Energy Technologies Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computing and Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Industrial & Systems Engineering The University of Tennessee KnoxvilleTN37996 United States Department of Computer Science University of Missouri-Saint Louis St. LouisMO63121 United

We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patterns in data versus discovering patterns in the world from data. If we address the fundamental challenges associated with "bridging the gap" between domain-driven scientific models and data-driven AI learning machines, then we expect that these AI models can transform hypothesis generation, scientific discovery, and the scientific process itself. © 2021, CC BY.

关键词： Learning systems

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Web based testing application security system using semantic comparison method 2

Web based testing application security system using semantic...

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2nd Nommensen International Conference on Technology and engineering, NICTE 2018

作者： Iskandar, Akbar Fahlepi Tuasamu, Muhammad Resa Syamsu, Suryadi Mansyur, M. Listyorini, Tri Sallu, Sulfikar Supriyono, S. Saddhono, Kundharu Napitupulu, Darmawan Rahim, Robbi Informatics Engineering STMIK AKBA Makassar Indonesia Graduate Program Universitas Negeri Makassar Makassar Indonesia Informatics Engineering Universitas Maria Kudus Central Java Indonesia Computer Information Systems Universitas Sembilan Belas November Kolaka Indonesia Department of Geography Education Universitas Prof Dr Hazairin SH Bengkulu Indonesia Indonesian Language Education Departement Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta Indonesia Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Indonesia Sekolah Tinggi Ilmu Manajemen Sukma Medan Indonesia

computer and web security system is an attempt to avoid attacks from crackers because a form and method of crime on internet network can not be predicted. Therefore, we just keep trying to use various methods in securing the system that is running. It is the same in web testing that can be accessed online by people who are not responsible from along distance to change and remove the test results or even damage the web testing system. So, the purpose of this paper is to design and implement web security testing system by using semantic comparison method to avoid structured query language injection (SQLI) attack and to do security on web testing application using Message Digest 5 encryption (MD5). Research data were obtained by using direct observation and documentation and literature review. After the design and application of the system, it can be obtained that by using semantic comparison method in web testing can prevent the occurrence of SQL injection attacks and can secure account from web testing users by using MD5. © Published under licence by IOP Publishing Ltd.

关键词： Semantics

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Spiniform phase-encoded metagratings entangling arbitrary rational-order orbital angular momentum

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Light(Science & Applications) 2017年第1期6卷 129-135页

作者： Kun Huang Hong Liu Sara Restuccia Muhammad Q Mehmood Sheng-Tao Mei Daniel Giovannini AaronDanner Miles J Padgett Jing-Hua Teng Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Institute of Materials Research and Engineering Agency for ScienceTechnology and ResearchSingapore 138634Singapore Department of Optics and Optical Engineering University of Science and Technology of ChinaHefei 230026China SUPA School of Physics and AstronomyUniversity of GlasgowGlasgow G128QQUK Information Technology University of the Punjab Lahore 54000Pakistan NUS Graduate School for Integrative Science and Engineering National University of SingaporeSingapore 117456Singapore The Edward S Rogers Department of Electrical and Computer Engineering University of TorontoToronto M5S 3G4Canada SZU-NUS Collaborative Innovation Center for Optoelectronic Science and Technology Shenzhen UniversityShenzhen 518060China NUS Suzhou Research Institute(NUSRI) Suzhou 215123China

Quantum entanglements between integer-order and fractional-order orbital angular momentums(OAMs)have been previously ***,the entangled nature of arbitrary rational-order OAM has long been considered a myth due to the absence of an effective strategy for generating arbitrary rational-order OAM ***,we report a single metadevice comprising a bilaterally symmetric grating with an aperture,creating optical beams with dynamically controllable OAM values that are continuously varying over a rational *** to its encoded spiniform phase,this novel metagrating enables the production of an average OAM that can be increased without a theoretical limit by embracing distributed singularities,which differs significantly from the classic method of stacking phase singularities using fork *** new method makes it possible to probe the unexplored niche of quantum entanglement between arbitrarily defined OAMs in light,which could lead to the complex manipulation of microparticles,high-dimensional quantum entanglement and optical *** show that quantum coincidence based on rational-order OAM-superposition states could give rise to low cross-talks between two different states that have no significant overlap in their spiral ***,future applications in quantum communication and optical micromanipulation may be found.

关键词： metasurface nanophotonics orbital angular momentum superposition state

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