April 2019 arXiv papers — page 75
Showing 7,401–7,500 of 12,989 papers
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
cs.LGJingcai Guo, Song Guo
Zero-shot learning (ZSL) aims at recognizing unseen classes with knowledge transferred from seen classes. This is typically achieved by exploiting a semantic feature space (FS) shared by both seen and unseen classes, i.e., attributes or word vectors, as the bridge. However, due to the mutually disjoint of training (seen) and testing (unseen) data, existing Z
Nicolas Couellan
We investigate robustness of deep feed-forward neural networks when input data are subject to random uncertainties. More specifically, we consider regularization of the network by its Lipschitz constant and emphasize its role. We highlight the fact that this regularization is not only a way to control the magnitude of the weights but has also a coupling effe
Jingcai Guo, Shiheng Ma, Song Guo
In most recent years, deep convolutional neural networks (DCNNs) based image super-resolution (SR) has gained increasing attention in multimedia and computer vision communities, focusing on restoring the high-resolution (HR) image from a low-resolution (LR) image. However, one nonnegligible flaw of DCNNs based methods is that most of them are not able to res
Measurements of strain and bandgap of coherently epitaxially grown wurtzite InAsP-InP core-shell nanowires
cond-mat.mes-hallD. J. O. Göransson, M. T. Borgström, Y. Q. Huang, M. E. Messing
We report on experimental determination of the strain and bandgap of InAsP in epitaxially grown InAsP-InP core-shell nanowires. The core-shell nanowires are grown via metal-organic vapor phase epitaxy. The as-grown nanowires are characterized by transmission electron microscopy, X-ray diffraction, micro-photoluminescence ($μ$PL) spectroscopy and micro-Raman
V. Vilasini, Nuriya Nurgalieva, Lidia del Rio
Which theories lead to a contradiction between simple reasoning principles and modelling observers' memories as physical systems? Frauchiger and Renner have shown that this is the case for quantum theory, with a thought experiment that leads to a multi-agent paradox. Here we generalize the conditions of the Frauchiger-Renner result so that they can be ap
Attila Joó
F. Escalante and T. Gallai studied in the seventies the structure of different kind of separations and cuts between a vertex pair in a (possibly infinite) graph. One of their results is that if there is a finite separation, then the optimal (i.e. minimal sized) separations form a finite distributive lattice with respect to a natural partial order. Furthermor
Anand Sahasranaman, Henrik Jeldtoft Jensen
Given the importance of urban sustainability and resilience to the future of our planet, there is a need to better understand the interconnectedness between the social, economic, environmental, and governance outcomes that underline these frameworks. Here, we propose a synthesis of the independent scientific frameworks of economic complexity and urban scalin
Unconventional full-gap superconductivity in Kondo lattice with semi-metallic conduction bands
cond-mat.supr-conShoma Iimura, Motoaki Hirayama, Shintaro Hoshino
A mechanism of superconductivity is proposed for the Kondo lattice which has semi-metallic conduction bands with electron and hole Fermi surfaces. At high temperatures, the $f$ electron's localized spins/pseudospins are fluctuating between electron and hole Fermi surfaces to seek for a partner to couple with. This system tries to resolve this frustration
James Butterworth, Rahul Savani, Karl Tuyls
Simultaneous Localisation and Mapping (SLAM) algorithms are expensive to run on smaller robotic platforms such as Micro-Aerial Vehicles. Bug algorithms are an alternative that use relatively little processing power, and avoid high memory consumption by not building an explicit map of the environment. Bug Algorithms achieve relatively good performance in simu
Comparing particle-particle and particle-hole channels of random-phase approximation
cond-mat.mtrl-sciMuhammad N. Tahir, Xinguo Ren
We present a comparative study of particle-hole and particle-particle channels of random-phase approximation (RPA) for molecular dissociations of different bonding types. We introduced a \textit{direct} particle-particle RPA scheme, in analogy to the \textit{direct} particle-hole RPA formalism, whereby the exchange-type contributions are excluded. This allow
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
cs.CLShreyansh Singh, Avi Chawla, Ayush Sharma, Anil Kumar Singh
This paper describes our submission system for the Shallow Track of Surface Realization Shared Task 2018 (SRST'18). The task was to convert genuine UD structures, from which word order information had been removed and the tokens had been lemmatized, into their correct sentential form. We divide the problem statement into two parts, word reinflection and
A. S. Umar, C. Simenel, K. Godbey
We discuss equilibration times and isospin effect for various quantities in low-energy heavy-ion reactions. These include equilibration of mass, isospin, and total kinetic energy (TKE) in quasifission and deep-inelastic reactions. The calculations are performed using the time-dependent Hartree-Fock theory. The influence of shell effects on the equilibration
Mario Huicochea
In this paper it is proven that for any $f\in\mathbb{R}(x_1,x_2)$ and $A_1,A_2$ nonempty finite subsets of $\mathbb{R}$ such that $|A_1|=|A_2|$ and $f$ is defined in $A_1\times A_2$, we have that \begin{equation*} |f(A_1,A_2)|=Ω\left(|A_1|^{\frac{4}{3}}\right) \end{equation*} unless there are $g,l_1,l_2\in\mathbb{R}(x)$ such that $f(x_1,x_2)=g(l_1(x_1)+l_2(x
Order boundedness of weighted composition operators on weighted Dirichlet spaces and derivative Hardy spaces
math.FAQingze Lin, Junming Liu, Yutian Wu
In this paper, we completely characterize the order boundedness of weighted composition operators between different weighted Dirichlet spaces and different derivative Hardy spaces.
A Neural Network Prediction Based Adaptive Mode Selection Scheme in Full-Duplex Cognitive Networks
eess.SPYirun Zhang, Qirui Wu, Jiancao Hou, Vahid Towhidlou
We propose a neural network (NN) predictor and an adaptive mode selection scheme for the purpose of both improving secondary user's (SU's) throughput and reducing collision probability to the primary user (PU) in full-duplex (FD) cognitive networks. SUs can adaptively switch between FD transmission-and-reception (TR) and transmission-and-sensing (TS)
Resonantly hybridised excitons in moiré superlattices in van der Waals heterostructures
cond-mat.mes-hallEvgeny M. Alexeev, David A. Ruiz-Tijerina, Mark Danovich, Matthew J. Hamer
Atomically-thin layers of two-dimensional materials can be assembled in vertical stacks held together by relatively weak van der Waals forces, allowing for coupling between monolayer crystals with incommensurate lattices and arbitrary mutual rotation. A profound consequence of using these degrees of freedom is the emergence of an overarching periodicity in t
Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez, Jose L. Alba-Castro
Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems. Although much effort has been devoted to anti-spoofing research, generalization in real scenarios remains a challenge. In this paper we present a new open-source evaluation framework to study the generalization capacity of face PAD method
Diffuser Research and Development for Optical Calibration Systems in Hyper-Kamiokande
physics.ins-detS. Valder
Proposed as part of the next generation of water Cherenkov detectors, Hyper-Kamiokande will have a vastly improved potential in determining leptonic CP violation in neutrino oscillations. Well understood optical diffusers are needed as part of an integrated light injection system for calibration of ultrasenstive photo-detectors. Research and development into
G. H. Aguilar, M. A. de Souza, R. M. Gomes, J. Thompson
The development of new techniques to improve measurements is crucial for all sciences. By employing quantum systems as sensors to probe some physical property of interest allows the application of quantum resources, such as coherent superpositions and quantum correlations, to increase measurement precision. Here we experimentally investigate a scheme for qua
Disentangling time-focusing from beam divergence: a novel approach for high-flux thermal neutron spectroscopy at continuous and long-pulse sources
physics.ins-detM. Zanatta, K. H. Andersen, P. P. Deen, A. Orecchini
We present the concept of a novel time-focusing technique for neutron spectrometers, which allows to disentangle time-focusing from beam divergence. The core of this approach is a double rotating-crystal monochromator that can be used to extract a larger wavelength band from a white beam, thus providing a higher flux at the sample compared to standard time-o
Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo
Forecasting the future traffic flow distribution in an area is an important issue for traffic management in an intelligent transportation system. The key challenge of traffic prediction is to capture spatial and temporal relations between future traffic flows and historical traffic due to highly dynamical patterns of human activities. Most existing methods e
Marthe Bonamy, Nicolas Bousquet, Marc Heinrich, Takehiro Ito
We study the perfect matching reconfiguration problem: Given two perfect matchings of a graph, is there a sequence of flip operations that transforms one into the other? Here, a flip operation exchanges the edges in an alternating cycle of length four. We are interested in the complexity of this decision problem from the viewpoint of graph classes. We first
Robert Vertesi
Heavy quarks (charm and beauty) are produced early in the nucleus-nucleus collisions, and heavy flavor survives throughout the later stages. Measurements of heavy-flavor quarks thus provide us with means to understand the properties of the Quark-Gluon Plasma, a hot and dense state of matter created in heavy-ion collisions. Production of heavy-flavor in small
Xianglong Duan
In this paper, we present sharp decay estimates for small data solutions of the following two systems: the Vlasov-Poisson (V-P) system in dimension 3 or higher and the Vlasov-Yukawa (V-Y) system in dimension 2 or higher. We rely on a modification of the vector field method for transport equation as developed by Smulevici in 2016 for the Vlasov-Poisson system
Michael Cuntz, Paul Mücksch
We introduce the class of MAT-free hyperplane arrangements which is based on the Multiple Addition Theorem by Abe, Barakat, Cuntz, Hoge, and Terao. We also investigate the closely related class of MAT2-free arrangements based on a recent generalization of the Multiple Addition Theorem by Abe and Terao. We give classifications of the irreducible complex refle
Robert Alicki
Macroscopic fields like electromagnetic, MHD, acoustic or gravitational waves are usually described by classical wave equations with possible additional damping terms and coherent sources. The aim of this paper is to develop a complete macroscopic formalism including random/thermal sources, dissipation and random scattering of waves by environment. The propo
Sabine Jansen, Wolfgang König, Bernd Schmidt, Florian Theil
We analyze the surface energy and boundary layers for a chain of atoms at low temperature for an interaction potential of Lennard-Jones type. The pressure (stress) is assumed small but positive and bounded away from zero, while the temperature $β^{-1}$ goes to zero. Our main results are: (1) As $β\to \infty$ at fixed positive pressure $p>0$, the Gibbs measur
Hui Zhao, Jiayi Zhang, Liang Yang, Gaofeng Pan
In this letter, the secrecy performance in cognitive radio networks (CRNs) over fluctuating two-ray (FTR) channels, which is used to model the millimetre wave channel, is investigated in terms of the secrecy outage probability (SOP). Specifically, we consider the case where a source (S) transmits confidential messages to a destination (D), and an eavesdroppe
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Training a deep neural network is a non-trivial task. Not only the tuning of hyperparameters, but also the gathering and selection of training data, the design of the loss function, and the construction of training schedules is important to get the most out of a model. In this study, we perform a set of experiments all related to these issues. The model for
F. Martínez-García, D. Vodola, M. Müller
Realisation of experiments even on small and medium-scale quantum computers requires an optimisation of several parameters to achieve high-fidelity operations. As the size of the quantum register increases, the characterisation of quantum states becomes more difficult since the number of parameters to be measured grows as well and finding efficient observabl
R. O. Brown, M. J. Coe, W. C. G. Ho, A. T. Okazaki
SXP 5.05 is a Be/X-ray binary with a neutron star companion located in the Small Magellanic Cloud. It was first detected in 2013, and later that year, SXP 5.05 underwent a massive optical and X-ray outburst. This outburst dwarfs any other optical event that has been observed for this system during the last 5 years. The large increase in optical brightness of
Opportunities in Time-Domain Extragalactic Astrophysics with the NASA Near-Earth Object Camera (NEOCam)
astro-ph.GANicholas P. Ross, Roberto J. Assef, Matthew J. Graham, J. Davy Kirkpatrick
This White Pape motivates the time domain extragalactic science case for the NASA Near-Earth Object Camera (NEOCam). NEOCam is a NASA Planetary mission whose goal is to discover and characterize asteroids and comets, to assess the hazard to Earth from near-Earth objects, and to study the origin, evolution, and fate of asteroids and comets. NEOCam will, howev
Proceedings Joint International Workshop on Linearity & Trends in Linear Logic and Applications
cs.LOThomas Ehrhard, Maribel Fernández, Valeria de Paiva, Lorenzo Tortora de Falco
This volume contains a selection of papers presented at Linearity/TLLA 2018: Joint Linearity and TLLA workshops (part of FLOC 2018) held on July 7-8, 2018 in Oxford. Linearity has been a key feature in several lines of research in both theoretical and practical approaches to computer science. On the theoretical side there is much work stemming from linear lo
Fredrik Bagge Carlson
We present and analyze methods for the kinematic and kinetostatic calibration of, typically, wrist mounted force/torque sensors in robotics. The algorithms are based on matrix factorization and require no special equipment. The only requirement is the ability to reorient the sensor and to measure its orientation in a fixed coordinate system, such as through
Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study
q-bio.TOPeizhen Xie, Ke Zuo, Yu Zhang, Fangfang Li
For diagnosing melanoma, hematoxylin and eosin (H&E) stained tissue slides remains the gold standard. These images contain quantitative information in different magnifications. In the present study, we investigated whether deep convolutional neural networks can extract structural features of complex tissues directly from these massive size images in a patche
C. Garcia-Recio, L. L. Salcedo
Using the method of covariant symbols we compute the divergent part of the effective action of the Proca field with non-minimal mass term. Specifically a quantum Abelian vector field with a non-derivative coupling to an external tensor field in curved spacetime in four dimensions is considered. Relatively explicit expressions are obtained which are manifestl
Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich
The existing approaches to intrinsic dimension estimation usually are not reliable when the data are nonlinearly embedded in the high dimensional space. In this work, we show that the explicit accounting to geometric properties of unknown support leads to the polynomial correction to the standard maximum likelihood estimate of intrinsic dimension for flat ma
Chris Schwiegelshohn, Uwe Schwiegelshohn
We investigate online scheduling with commitment for parallel identical machines. Our objective is to maximize the total processing time of accepted jobs. As soon as a job has been submitted, the commitment constraint forces us to decide immediately whether we accept or reject the job. Upon acceptance of a job, we must complete it before its deadline $d$ tha
Generalized Artin pattern of heterogeneous multiplets of dihedral fields and proof of Scholz's conjecture
math.NTDaniel C. Mayer
The concept of Artin transfer pattern $((\ker(T_{K,N_i}))_i,(\mathrm{Cl}_p(N_i))_i)$ for homogeneous multiplets $(N_1,\ldots,N_m)$ of unramified cyclic prime degree p extensions $N_i/K$ of a base field K with p-class transfer homomorphisms$T_{K,N_i}:\,\mathrm{Cl}_p(K)\to\mathrm{Cl}_p(N_i)$ is generalized for heterogeneous multiplets of ramified extensions. B
Subir Mukhopadhyay, Nishal Rai
We study fermions in a domain wall backgrounds in five dimensional supergravity, which is similar to zero temperature limit of holographic superconductor. We find the fermionic operators for small charges in the dual four dimensional theory have gapped spectrum.
Ying-Ke Huang, Chen Hu, Yu-Lin Zhao, Zhi-Xiang Zhang
We report results of the first reverberation mapping campaign of I Zwicky 1 during $2014$-$2016$, which showed unambiguous reverberations of the broad H$β$ line emission to the varying optical continuum. From analysis using several methods, we obtain a reverberation lag of $τ_{\rm Hβ}=37.2^{+4.5}_{-4.9}\,$ days. Taking a virial factor of $f_{_{\rm BLR}}=1$,
Antar Bandyopadhyay, Svante Janson, Debleena Thacker
We consider the generalization of the Pólya urn scheme with possibly infinite many colors as introduced in \cite{Th-Thesis, BaTH2014, BaTh2016, BaTh2017}. For countable many colors, we prove almost sure convergence of the urn configuration under \emph{uniform ergodicity} assumption on the associated Markov chain. The proof uses a stochastic coupling of the s
R. Farinelli, M. Alexeev, A. Amoroso, S. Bagnasco
Triple-GEM detectors are a well known technology in high energy physics. In order to have a complete understanding of their behavior, in parallel with on beam testing, a Monte Carlo code has to be developed to simulate their response to the passage of particles. The software must take into account all the physical processes involved from the primary ionizati
Fedor V. Fomin, Petr A. Golovach, Fahad Panolan, Kirill Simonov
We consider $\ell_1$-Rank-$r$ Approximation over GF(2), where for a binary $m\times n$ matrix ${\bf A}$ and a positive integer $r$, one seeks a binary matrix ${\bf B}$ of rank at most $r$, minimizing the column-sum norm $||{\bf A} -{\bf B}||_1$. We show that for every $\varepsilon\in (0, 1)$, there is a randomized $(1+\varepsilon)$-approximation algorithm fo
P. Wójcik, M. P. Nowak, M. Zegrodnik
We consider a free-standing metallic nanofilm with a predominant intersubband paring which emerges as a result of the confinement in the growth direction. We show that the Fermi wave vector mismatch between the subbands, detrimental to the intersubband pairing, can be compensated by the non-zero center of mass momentum of the Cooper pairs. This leads to the
Reinhard F. Werner, Terry Farrelly
We explore the different meanings of "quantum uncertainty" contained in Heisenberg's seminal paper from 1927, and also some of the precise definitions that were explored later. We recount the controversy about "Anschaulichkeit", visualizability of the theory, which Heisenberg claims to resolve. Moreover, we consider Heisenberg's progr
The development and evaluation of the SmartAbility Android Application to detect users' abilities
cs.HCPaul Whittington, Huseyin Dogan, Nan Jiang, Keith Phalp
The SmartAbility Android Application recommends Assistive Technology (AT) for people with reduced physical ability, by focusing on the actions (abilities) that can be performed independently. The Application utilises built-in sensor technologies in Android devices to detect user abilities, including head and limb movements, speech and blowing. The Applicatio
Jeff J. Andrews, Andreas Zezas
The formation and evolution of double neutron stars (DNS) have traditionally been studied using binary population synthesis. In this work, we take an alternative approach by focusing only on the second supernova (SN) forming the DNS and the subsequent orbital decay and merger due to gravitational wave radiation. Using analytic and numerical methods, we explo
Aaron Steinfeld, John Zimmerman, Anthony Tomasic
There is great promise in creating effective technology experiences during situationally-induced impairments and disabilities through the combination of universal design and adaptive interfaces. We believe this combination is a powerful approach for meeting the UX needs of people with disabilities, including those which are temporary in nature. Research in e
High-efficiency terahertz spin-decoupled meta-coupler for spoof surface plasmon excitation and beam steering
physics.opticsLi-Zheng Yin, Tie-Jun Huang, Feng-Yuan Han, Jiang-Yu Liu
Spoof surface plasmon (SSP) meta-couplers that efficiently integrate other diversified functionalities into a single ultrathin device are highly desirable in the modern microwave and terahertz fields. However, the diversified functionalities, to the best of our knowledge, have not been applied to circular polarization meta-couplers because of the spin coupli
Looking At Situationally-Induced Impairments And Disabilities (SIIDs) With People With Cognitive Brain Injury
cs.HCOsian Smith, Stephen Lindsay
In this document, we discuss our work into a speaker recognition to support people with prosopagnosia and the limitations of alerting the user of whom they are in discussion with. We will discuss how current research into Situationally Induced Impairments Disabilities (SIIDs) can assist people with disabilities and vice versa and how our work can support peo
Shreepriya Shreepriya, Danilo Gallo, Sruthi Viswanathan, Jutta Willamowski
Mobile devices are ubiquitous and support us in a myriad of situations. In this paper, we study the support that mobile devices provide for navigation. It presents our findings on the Situational Induced Impairments and Disabilities (SIID) during running. We define the context of runners and the factors affecting the use of mobile devices for navigation duri
Stephen Lars Olsen
I review the experimental evidence for the $X(3915)$, the candidate nonstandard meson associated with $ωJψ$ resonance-like peaks in $B\rightarrow KωJψ$ and $γγ\rightarrowωJψ$ near $M(ωJψ)=3920$~MeV, and address the conjecture that it can be identified as the $χ_{c2}^\prime$, the radial excitation of the $χ_{c2}$ charmonium state. Since the partial decay widt
Designing Mobile Interaction Guidelines to Account for Situationally Induced Impairments and Disabilities (SIID) and Severely Constraining Situational Impairments (SCSI)
cs.HCSidas Saulynas, Ravi Kuber
This research investigates the variety and complexity of situational impairment events (SIE) that are being experienced by users of smartphone technology of all abilities. The authors have created a classification system to help describe the different types of SIE as well as differentiate a certain subgroup of events that were identified as severely constrai
Alastair Gregory, Din-Houn Lau, Alex Tessier, Pan Zhang
An increasing amount of civil engineering applications are utilising data acquired from infrastructure instrumented with sensing devices. This data has an important role in monitoring the response of these structures to excitation, and evaluating structural health. In this paper we seek to monitor pedestrian-events (such as a person walking) on a footbridge
Martijn N. de Vries, Michael W. Wise, Paul E. J. Nulsen, Aneta Siemiginowska
In 2015, a radio transient named Cygnus A-2 was discovered in Cygnus A with the Very Large Array. Because of its radio brightness ($νF_ν \approx 6 \times 10^{39}$ erg s$^{-1}$), this transient likely represents a secondary black hole in orbit around the AGN. Using {\it Chandra} ACIS observations from 2015 to 2017, we have looked for an X-ray counterpart to C
Gisela Reyes-Cruz, Joel Fischer, Stuart Reeves
Design for Voice User Interfaces (VUIs) has become more relevant in recent years due to the enormous advances of speech technologies and their growing presence in our everyday lives. Although modern VUIs still present interaction issues, reports indicate they are being adopted by people with different disabilities and having a positive impact. For the first
AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices
cs.HCVarun Jain, Ramya Hebbalaguppe
Hand gestures are an intuitive, socially acceptable, and a non-intrusive interaction modality in Mixed Reality (MR) and smartphone based applications. Unlike speech interfaces, they tend to perform well even in shared and public spaces. Hand gestures can also be used to interact with smartphones in situations where the user's ability to physically touch
Nayeri Jacobo
Despite significant research that was influenced by Situationally-Induced Impairments and Disabilities (SIIDs) to improve the accessibility of mobile technology, there is still lack of awareness on how to design for SIIDs. Designing for situational impairments does not only affect usability for people who have temporary or long-term disabilities, but also fo
Tigmanshu Bhatnagar, Youngjun Cho, Nicolai Marquardt, Catherine Holloway
Designing for situational awareness could lead to better solutions for disabled people, likewise, exploring the needs of disabled people could lead to innovations that can address situational impairments. This in turn can create non-stigmatising assistive technology for disabled people from which eventually everyone could benefit. In this paper, we investiga
Elgin Akpınar, Yeliz Yeşilada, Selim Temizer
When we interact with small screen devices, sometimes we make errors, due to our abilities/disabilities, contextual factors that distract our attention or problems related to the interface. Recovering from these errors may be time consuming or cause frustration. Predicting and learning these errors based on the previous user interaction and contextual factor
Tousif Ahmed, Rakibul Hasan, Kay Connelly, David Crandall
Knowing who is in one's vicinity is key to managing privacy in everyday environments, but is challenging for people with visual impairments. Wearable cameras and other sensors may be able to detect such information, but how should this complex visually-derived information be conveyed in a way that is discreet, intuitive, and unobtrusive? Motivated by pre
Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
In the last few years, convolutional neural networks (CNNs) have demonstrated increasing success at learning many computer vision tasks including dense estimation problems such as optical flow and stereo matching. However, the joint prediction of these tasks, called scene flow, has traditionally been tackled using slow classical methods based on primitive as
Error analysis of fully discrete mixed finite element data assimilation schemes for the Navier-Stokes equations
math.NABosco García-Archilla, Julia Novo
In this paper we consider fully discrete approximations with inf-sup stable mixed finite element methods in space to approximate the Navier-Stokes equations. A continuous downscaling data assimilation algorithm is analyzed in which measurements on a coarse scale are given represented by different types of interpolation operators. For the time discretization
Thanja Lamberts, Max N. Markmeyer, Florian J. Kolb, Johannes Kästner
The radicals HCO and CH$_3$ on carbon monoxide ice surfaces were simulated using density functional theory. Their binding energy on amorphous CO ice shows broad distributions, with approximative average values of 500 K for HCO and 200 K for CH$_3$. If they are located on the surface close to each other (3 to 4 Å), molecular dynamics calculations based on den
Multifunctional Metamirrors Involving Simultaneous Linear-polarization Conversion and Focusing
physics.opticsFei Ding, Yiting Chen, Yuanqing Yang, Sergey I. Bozhevolnyi
Reducing a set of diverse bulk-optic-based optical components to a single ultrathin and compact element that enables the same complex functionality has become an emerging research area, propelling further integration and miniaturization in photonics. In this work, we establish a versatile metasurface platform based on gap-surface plasmon meta-atoms enabling
Max Leppmeier
The regular dodecahedron has a 2% smaller volume than the rhombic dodecahedron which is the Voronoi cell of a fcc packing. From this point of view it seems possible that the dodecahedral aspect which is the core of the so-called dodecahedral conjecture, will play a major part for an elementary proof of the Kepler conjecture. In this paper we will show that t
Laur Peedu, Vilmos Kocsis, Dávid Szaller, Johan Viirok
Spin excitations of magnetoelectric LiNiPO$_4$ are studied by infrared absorption spectroscopy in the THz spectral range as a function of magnetic field through various commensurate and incommensurate magnetically ordered phases up to 33\,T. Six spin resonances and a strong two-magnon continuum are observed in zero magnetic field. Our systematic polarization
Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites
physics.comp-phQingyuan Rong, Han Wei, Hua Bao
Effective thermal conductivity is an important property of composites for different thermal management applications. Although physics-based methods, such as effective medium theory and solving partial differential equation, dominate the relevant research, there is significant interest to establish the structure-property linkage through the machine learning m
Synthesis of anti-perovskite-type carbides and nitrides from metal oxides and melamine
cond-mat.mtrl-sciDaigorou Hirai, Hidetake Tanaka, Daisuke Nishio-Hamane, Zenji Hiroi
Four anti-perovskite-type compounds, ZnNNi3, ZnCNi3, SnNCo3, and SnCCo3, are synthesised through reactions between ingredient metal oxides and organic compound melamine (C3H6N6). ZnNNi3 and ZnCNi3 are selectively synthesised by choosing different reaction temperatures and nominal oxide-to-melamine ratios. SnNCo3 is synthesised for the first time by this mela
Semi-conformal structure on certain vertex superalgebras associated to vertex superalgebroids
math.RAMing Li
In this paper, we first give the definiton of a vertex superalgebroid. Then we construct a family of vertex superalgebras associated to vertex superalgebroids. As a main result, we find a sufficient and necessary condition that this vertex superalgebras are semi-conformal. In addition, we give an concrete example of this vertex superalgebras and apply our re
Anca Dumitrache, Lora Aroyo, Chris Welty
We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to capture inter-annotator disagreement. In contrast to the typical approach of attributing the best single frame to ea
Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Social media offer an abundant source of valuable raw data, however informal writing can quickly become a bottleneck for many natural language processing (NLP) tasks. Off-the-shelf tools are usually trained on formal text and cannot explicitly handle noise found in short online posts. Moreover, the variety of frequently occurring linguistic variations presen
Spin-dependent transport in van der Waals magnetic tunnel junctions with Fe3GeTe2 electrodes
cond-mat.mtrl-sciXinlu Li, Evgeny Y. Tsymbal, Jing-Tao Lü, Jia Zhang
Van der Waals (vdW) heterostructures, stacking different two-dimensional materials, have opened up unprecedented opportunities to explore new physics and device concepts. Especially interesting are recently discovered two-dimensional magnetic vdW materials, providing new paradigms for spintronic applications. Here, using density functional theory (DFT) calcu
Daigorou Hirai, Takeshi Yajima, Daisuke Nishio-Hamane, Changsu Kim
Transition metal compounds sometimes exhibit beautiful colors. We report here on a new oxychloride Ca3ReO5Cl2 which shows unusually distinct pleochroism; that is, the material exhibits different colors depending on viewing directions. This ple-ochroism is a consequence of the fact that a complex crystal field splitting of the 5d orbitals of the Re6+ ion in a
One-dimensionalization by Geometrical Frustration in the Anisotropic Triangular Lattice of the 5d Quantum Antiferromagnet Ca3ReO5Cl2
cond-mat.str-elDaigorou Hirai, Kazuhiro Nawa, Mitsuaki Kawamura, Takahiro Misawa
We report on the emergence of antiferromagnetic spin chains from two-dimensionally aligned spins on the anisotropic triangular lattice (ATL) in the insulating calcium rhenium oxychloride Ca3ReO5Cl2. The compound contains Re6+ ions each with one unpaired electron in the dxy orbital, which are arranged to form a spin-1/2 ATL with J'/J ~ 0.32 and J = 41 K,
Mark Kambites
We study the free objects in the variety of semigroups and variety of monoids generated by the monoid of all $n \times n$ upper triangular matrices over a commutative semiring. We obtain explicit representations of these, as multiplicative subsemigroups of quiver algebras over polynomial semirings. In the $2 \times 2$ case this also yields a representation a
Sergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky
This paper presents the Speech Technology Center (STC) speaker recognition (SR) systems submitted to the VOiCES From a Distance challenge 2019. The challenge's SR task is focused on the problem of speaker recognition in single channel distant/far-field audio under noisy conditions. In this work we investigate different deep neural networks architectures
S. J. v. Gool, G. Metcalfe, C. Tsinakis
Uniform interpolation properties are defined for equational consequence in a variety of algebras and related to properties of compact congruences on first the free and then the finitely presented algebras of the variety. It is also shown, following related results of Ghilardi and Zawadowski, that a combination of these properties provides a sufficient condit
Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
This paper digs deeper into factors that influence egocentric gaze. Instead of training deep models for this purpose in a blind manner, we propose to inspect factors that contribute to gaze guidance during daily tasks. Bottom-up saliency and optical flow are assessed versus strong spatial prior baselines. Task-specific cues such as vanishing point, manipulat
Jonas Isensee, George Datseris, Ulrich Parlitz
We present a method for both cross estimation and iterated time series prediction of spatio temporal dynamics based on reconstructed local states, PCA dimension reduction, and local modelling using nearest neighbour methods. The effectiveness of this approach is shown for (noisy) data from a (cubic) Barkley model, the Bueno-Orovio-Cherry-Fenton model, and th
Takashi Ohe
This paper is concerned with a reconstruction method for multiple moving point/dipole wave sources. We assume that the number, locations, and magnitudes/moments of wave sources are unknown, and consider the problem to reconstruct these parameters from the measurement of the wave field on the boundary. For this problem, we derive algebraic relations between t
Heat-induced soliton self-frequency redshift in the ultrafast nonlinear dynamics of active plasmonic waveguides
physics.opticsAmbaresh Sahoo, Andrea Marini, Samudra Roy
We investigate the ultrafast nonlinear dynamics of light emitted in an active plasmonic waveguide composed of a thin film of gold sandwiched by two silicon layers immersed in externally pumped Al$_2$O$_3$:Er$^{3+}$. We model optical propagation in such a dissipative system through a generalized cubic Ginzburg-Landau equation accounting for the amplification
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
eess.ASJong-Hyeon Park, Myungwoo Oh, Hyung-Min Park
In general, the performance of automatic speech recognition (ASR) systems is significantly degraded due to the mismatch between training and test environments. Recently, a deep-learning-based image-to-image translation technique to translate an image from a source domain to a desired domain was presented, and cycle-consistent adversarial network (CycleGAN) w
Ning Guo, Rui Jiang, SC Wong, Qing-Yi Hao
Cycling is a green transportation mode, and is promoted by many governments to mitigate traffic congestion. However, studies concerning the traffic dynamics of bicycle flow are very limited. This study experimentally investigated bicycle flow dynamics on a wide road, modeled using a 3-m-wide track. The results showed that the bicycle flow rate remained nearl
Dagoberto Porras, Alexander Sepúlveda-Sepúlveda, Tamás Gábor Csapó
Speech sounds are produced as the coordinated movement of the speaking organs. There are several available methods to model the relation of articulatory movements and the resulting speech signal. The reverse problem is often called as acoustic-to-articulatory inversion (AAI). In this paper we have implemented several different Deep Neural Networks (DNNs) to
Adrien Dubouloz, Charlie Petitjean
We give an algebro-geometric classification of smooth real affine algebraic surfaces endowed with an effective action of the real algebraic circle group $\mathbb{S}^1$ up to equivariant isomorphisms. As an application, we show that every compact differentiable surface endowed with an action of the circle $S^1$ admits a unique smooth rational real quasi-proje
Victor Manero, Antonio Otal, Raquel Villacampa
We consider the Laplacian coflow of a $\mathrm{G}_2$-structure on warped products of the form $M^7= M^6 \times_f S^1$ with $M^6$ a compact 6-manifold endowed with an $\mathrm{SU}(3)$-structure. We give an explicit reinterpretation of this flow as a set of evolution equations of the differential forms defining the $\mathrm{SU}(3)$-structure on $M^6$ and the w
Camille Coti, David Monniaux, Hang Yu
Parametric linear programming is central in polyhedral computations and in certain control applications.We propose a task-based scheme for parallelizing it, with quasi-linear speedup over large problems.
Koki Higuchi, Masahiro N. Machida, Hajime Susa
The evolution of collapsing clouds embedded in different star-forming environments is investigated using three-dimensional non-ideal magnetohydrodynamics simulations considering different cloud metallicities ($Z/\thinspace Z_\odot$ = 0, 10$^{-5}$, 10$^{-4}$, 10$^{-3}$, 10$^{-2}$, 10$^{-1}$ and 1) and ionisation strengths ($C_ζ$=0, 0.01, 1 and 10, where $C_ζ$
Kuldeep Singh, Indranil Chattopadhyay
In this paper, we study magnetized winds described by variable adiabatic index equation of state in Paczyński \& Wiita pseudo-Newtonian potential. We identify the flow solutions with the parameter space of the flow. We also confirm that the physical wind solution is the one which passes through the slow, Alfvén and fast critical points. We study the dependen
Quantum confinement in an asymmetric double-well potential through energy analysis and information entropic measure
quant-phNeetik Mukherjee, Amlan K. Roy
Localization of a particle in the wells of an asymmetric double-well (DW) potential is investigated here. Information entropy-based uncertainty measures, such as Shannon entropy, Fisher information, Onicescu energy, etc., and phasespace area, are utilized to explain the contrasting effect of localization-delocalization and role of asymmetric term in such two
Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
Recently in statistical parametric speech synthesis, we proposed a continuous sinusoidal model (CSM) using continuous F0 (contF0) in combination with Maximum Voiced Frequency (MVF), which was successfully giving state-of-the-art vocoders performance (e.g. similar to STRAIGHT) in synthesized speech. In this paper, we address the use of sequence-to-sequence mo
Mahmoud Al-Faris, John P. Chiverton, Yanyan Yang, David L. Ndzi
Human action recognition remains an important yet challenging task. This work proposes a novel action recognition system. It uses a novel Multiple View Region Adaptive Multi-resolution in time Depth Motion Map (MV-RAMDMM) formulation combined with appearance information. Multiple stream 3D Convolutional Neural Networks (CNNs) are trained on the different vie
Viola Rieger, Alexander Zeh
We propose two parity-based concurrent error detection schemes for the Quarterround of the ChaCha stream cipher to protect from transient and permanent faults. They offer a trade-off between implementation overhead and error coverage. The second approach can detect any odd-weight error on the in-/output and intermediate signals of a Quarterround, while the f
Siddhartha Borkotoky, Christian Bettstetter, Udo Schilcher, Christian Raffelsberger
We consider a multipoint-to-point network in which sensors periodically send measurements to a gateway. The system uses Long Range (LoRa) communications in a frequency band with duty-cycle limits. Our aim is to enhance the reliability of the measurement transmissions. In this setting, retransmission protocols do not scale well with the number of sensors as t
Information entropic measures of a quantum harmonic oscillator in symmetric and asymmetric confinement within an impenetrable box
quant-phAbhisek Ghosal, Neetik Mukherjee, Amlan K. Roy
Information-based uncertainty measures like Shannon entropy, Onicescu energy and Fisher information (in position and momentum space) are employed to understand the effect of \emph{symmetric and asymmetric} confinement in a quantum harmonic oscillator. Also, the transformation of Hamiltonian into a dimensionless form gives an idea of the composite effect of f
Nils Nemitz, Asbjørn Arvad Jørgensen, Ryotatsu Yanagimoto, Filippo Bregolin
We present an extended model for the lattice-induced light shifts of the clock frequency in optical lattice clocks, applicable to a wide range of operating conditions. The model extensions cover radial motional states with sufficient energies to invalidate the harmonic approximation of the confining potential. We reevaluate lattice-induced light shifts in ou
Constructive a priori error estimates for a full discrete approximation of periodic solutions for the heat equation
math.NATakuma Kimura, Teruya Minamoto, Mitsuhiro T. Nakao
We consider the constructive a priori error estimates for a full discrete numerical solution of the heat equation with time-periodic condition.
Sangita Majumdar, Neetik Mukherjee, Amlan K. Roy
Shannon entropy ($S$), Fisher information ($I$) and a measure equivalent to Fisher-Shannon complexity $(C_{IS})$ of a ro-vibrational state of diatomic molecules (O$_2$, O$_2^+$, NO, NO$^+$) with generalized Kratzer potential is analyzed. \emph{Exact} analytical expression of $I_{\rvec}$ is derived for the arbitrary state, whereas the same could be done for $