March 2020 arXiv papers — page 75
Showing 7,401–7,500 of 14,175 papers
Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright
We address the problem of policy evaluation in discounted Markov decision processes, and provide instance-dependent guarantees on the $\ell_\infty$-error under a generative model. We establish both asymptotic and non-asymptotic versions of local minimax lower bounds for policy evaluation, thereby providing an instance-dependent baseline by which to compare a
Exponential convergence of recursive least squares with forgetting factor for multiple-output systems
math.OCSven Brüggemann, Robert R. Bitmead
We extend results of the recursive-least-squares-with-forgetting-factor identifier for single-input-single-output systems to the multiple-output case by, under the assumption of persistence of excitation, deriving the corresponding minimized objective function and by showing exponential convergence of the estimation error.
Paul Biran, Octav Cornea
The purpose of this paper is to describe a dictionary geometry <--> algebra in Lagrangian topology. As a by-product we obtain a tautological (in a sense explained in the body of the paper) proof of a folklore conjecture (sometimes attributed to Kontsevich) claiming that the objects and structure of the derived Fukaya category can be represented through immer
Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs
cs.SIXavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet
Co-occurence networks can be adequately modeled by hyper-bag-graphs (hb-graphs for short). A hb-graph is a family of multisets having same universe, called the vertex set. An efficient exchange-based diffusion scheme has been previously proposed that allows the ranking of both vertices and hb-edges. In this article, we extend this scheme to allow biases of d
Vicente Muñoz
We develop the Gompf fiber connected sum operation for symplectic orbifolds. We use it to construct a symplectic 4-orbifold with $b_1=0$ and containing symplectic surfaces of genus 1 and 2 that are disjoint and span the rational homology. This is used in turn to construct a K-contact Smale-Barden manifold with specified 2-homology that satisfies the known to
Solving A Class of Nonsmooth Resource Allocation Problems with Directed Graphs though Distributed Smooth Multi-Proximal Algorithms
math.OCYue Wei, Chengsi Shang, Hao Fang, Xianlin Zeng
In this paper, two distributed multi-proximal primal-dual algorithms are proposed to deal with a class of distributed nonsmooth resource allocation problems. In these problems, the global cost function is the summation of local convex and nonsmooth cost functions, each of which consists of one twice differentiable function and multiple nonsmooth functions. C
Pengcheng Xia, Bowen Zhang, Ru Ji, Bingyu Gao
As the indispensable trading platforms of the ecosystem, hundreds of cryptocurrency exchanges are emerging to facilitate the trading of digital assets. While, it also attracts the attentions of attackers. A number of scam attacks were reported targeting cryptocurrency exchanges, leading to a huge mount of financial loss. However, no previous work in our rese
Jim Chacko, Sudipto Muhuri, Goutam Tripathy
We study a two-species bidirectional exclusion process, and a single species variant, which is motivated by the motion of organelles and vesicles along microtubules. Specifically, we are interested in the clustering of the particles and appearance of a single large cluster as the ratio $Q$ of the translation to switching rates is varied. We find that, althou
Anton Kullberg, Isaac Skog, Gustaf Hendeby
An inference method for Gaussian process augmented state-space models are presented. This class of grey-box models enables domain knowledge to be incorporated in the inference process to guarantee a minimum of performance, still they are flexible enough to permit learning of partially unknown model dynamics and inputs. To facilitate online (recursive) infere
A Novel Jamming Attacks Detection Approach Based on Machine Learning for Wireless Communication
cs.ITYouness Arjoune, Fatima Salahdine, Md. Shoriful Islam, Elias Ghribi
Jamming attacks target a wireless network creating an unwanted denial of service. 5G is vulnerable to these attacks despite its resilience prompted by the use of millimeter wave bands. Over the last decade, several types of jamming detection techniques have been proposed, including fuzzy logic, game theory, channel surfing, and time series. Most of these tec
Fatima Salahdine, Elias Ghribi, Naima Kaabouch
Compressive sensing has been receiving a great deal of interest from researchers in many areas because of its ability in speeding up data acquisition. This framework allows fast signal acquisition and compression when signals are sparse in some domains. It extracts the main information from high dimensional sparse signals using only a few samples, then the s
Aviral Kumar, Abhishek Gupta, Sergey Levine
Deep reinforcement learning can learn effective policies for a wide range of tasks, but is notoriously difficult to use due to instability and sensitivity to hyperparameters. The reasons for this remain unclear. When using standard supervised methods (e.g., for bandits), on-policy data collection provides "hard negatives" that correct the model in pr
Börge Göbel, Collins Ashu Akosa, Gen Tatara, Ingrid Mertig
Magnetic hopfions are topologically protected three-dimensional solitons that are constituted by a tube which exhibits a topologically nontrivial spin texture in the cross-section profile and is closed to a torus. Here we show that the hopfion's locally uncompensated emergent field leads to a topological Hall signature, although the topological Hall effe
On the Performance of Cooperative NOMA Using MRC at Road Intersections in the Presence of Interference
cs.ITBaha Eddine Youcef Belmekki, Abdelkrim Hamza, Benoît Escrig
As the traffic safety has become of utmost importance, much attention is given to intelligent transportation systems (ITSs), and more particularly to vehicular communications (VCs). Moreover, 50 % of all crashes happen at road intersections, which makes theme a critical areas. In this paper, we investigate the improvement when implementing maximum ratio comb
Faraday effect and fragmentation of ferromagnetic layers in multilayer Co/Cu(111) nanofilms
cond-mat.mes-hallIrene N. Lukienko, Mykola F. Kharchenko, Alexey V. Fedorchenko, Ivan A. Kharlan
With purpose to investigate influence of magnetically non-active metal layers on the Faraday effect in multilayer Ferromagnetic/Normal metal films, dependences of the Faraday rotation angles of the light polarization plane on magnetic field have been studied in multilayer [Co/Cu] nanofilms. It was revealed that the Faraday rotation varies with thickness of t
Soft proton scattering at grazing incidence from X-ray mirrors: analysis of experimental data in the framework of the non-elastic approximation
astro-ph.IMR. Amato, T. Mineo, A. D'Aì, S. Diebold
Astronomical X-ray observatories with grazing incidence optics face the problem of pseudo-focusing of low energy protons from the mirrors towards the focal plane. Those protons constitute a variable, unpredictable component of the non X-ray background that strongly affects astronomical observations and a correct estimation of their flux at the focal plane is
Ion acceleration in non-relativistic quasi-parallel shocks using fully kinetic simulations
astro-ph.HECedric Schreiner, Patrick Kilian, Felix Spanier, Patricio A. Muñoz
The formation of collisionless shock fronts is an ubiquitous phenomenon in space plasma environments. In the solar wind shocks might accompany coronal mass ejections, while even more violent events, such as supernovae, produce shock fronts traveling at relativistic speeds. While the basic concepts of shock formation and particle acceleration in their vicinit
Khalil Mecheraoui, Julio C. Carrasquel, Irina A. Lomazova
This paper presents a compositional conformance checking approach between nested Petri nets and event logs of multi-agent systems. By projecting an event log onto model components, one can perform conformance checking between each projected log and the corresponding component. We formally demonstrate the validity of our approach proving that, to check fitnes
The White Dwarf Binary Pathways Survey III: contamination from hierarchical triples containing a white dwarf
astro-ph.SRF. Lagos, M. R. Schreiber, S. G. Parsons, A. Zurlo
The White Dwarf Binary Pathways Survey aims at increasing the number of known detached A, F, G and K main sequence stars in close orbits with white dwarf companions (WD+AFGK binaries) to refine our understanding about compact binary evolution and the nature of Supernova Ia progenitors. These close WD+AFGK binary stars are expected to form through common enve
M. A. Prakapenia, G. V. Vereshchagin
We investigate the effects of Pauli blocking on thermalization process of relativistic plasma by solving relativistic Uehling-Uhlenbeck equations with QED collision integral for all binary and triple processes. With this purpose we consider nonequilibrium initial state of plasma to be strongly degenerate. We found that when electron-positron annihilation is
Tim Hoffmann, Shimpei Kobayashi, Zi Ye
The contribution of this paper is twofold. First, we generalize the definition of discrete isothermic surfaces. Compared with the previous ones, it covers more discrete surfaces, e.g., the associated families of discrete isothermic minimal and non-zero constant mean curvature (CMC in short) surfaces, whose counterpart in smooth case are isothermic surfaces.
MohammadTaghi Hajiaghayi, Masoud Seddighin, Saeed Seddighin, Xiaorui Sun
Longest common subsequence (LCS) is one of the most fundamental problems in combinatorial optimization. Apart from theoretical importance, LCS has enormous applications in bioinformatics, revision control systems, and data comparison programs. Although a simple dynamic program computes LCS in quadratic time, it has been recently proven that the problem admit
On the Quantization of Burgers Vector and Gravitational Energy in the Space-Time of a Conical Defect
gr-qcF. L. Carneiro, S. C. Ulhoa, J. F. da Rocha-Neto, J. W. Maluf
A conical topological defect is the result of translational and/or rotational deformations of spacetime, in particular the Burgers vector describes the translational deformation. Such a configuration represents a discontinuity, that cannot be removed by coordinate transformations, and is related to the spacetime torsion. Using the Teleparallel Equivalent of
David Pastor-Escuredo, Enrique Frias-Martinez
Mobile phone data has enabled the timely and fine-grained study human mobility. Call Detail Records, generated at call events, allow building descriptions of mobility at different resolutions and with different spatial, temporal and social granularity. Individual trajectories are the basis for long-term observation of mobility patterns and identify factors o
Jiachen Ye, Qitong Hu, Peng Ji, Marc Barthelemy
Understanding how interurban movements can modify the spatial distribution of the population is important for transport planning but is also a fundamental ingredient for epidemic modeling. We focus here on vacation trips (for all transportation modes) during the Chinese Lunar New Year and compare the results for 2019 with the ones for 2020 where travel bans
David F. Chernoff, Shing Yan Li, S. -H. Henry Tye
We propose that the periodic fast radio bursts of FRB 180916.J0158+65 are sourced by axion emission (mass $m_{a} \sim 10^{-14}$ eV) from cosmic superstrings. Some of the emitted axions are converted to photons by magnetic fields as they travel along the line of sight to Earth. An impulsive burst of axion emission generates a photon signal typically lasting f
Tobias Breiten, Karl Kunisch
Nonlinear observers based on the well-known concept of minimum energy estimation are discussed. The approach relies on an output injection operator determined by a Hamilton-Jacobi-Bellman equation and is subsequently approximated by a neural network. A suitable optimization problem allowing to learn the network parameters is proposed and numerically investig
Laurent Moonens, Emmanuel Russ
In the following paper, one studies, given a bounded, connected open set $Ω$ $\subseteq$ R n , $κ$ > 0, a positive Radon measure $μ$ 0 in $Ω$ and a (signed) Radon measure $μ$ on $Ω$ satisfying $μ$($Ω$) = 0 and |$μ$| $κ$$μ$ 0 , the possibility of solving the equation div u = $μ$ by a vector field u satisfying |u| $κ$w on $Ω$ (where w is an integrable weight o
Penalization for a PDE with a Nonlinear Neumann boundary condition and measurable coefficients *
math.PRKhaled Bahlali, Brahim Boufoussi, Soufiane Mouchtabih
We consider a system of semi-linear partial differential equations with measurable coefficients and a nonlinear Neumann boundary condition. We then construct a sequence of penalized partial differential equations which converges to a solution of our initial problem. The solution we construct is in the L p --viscosity sense, since the coefficients can be not
Shane Carlson, Florian N. Brünig, Philip Loche, Douwe Jan Bonthuis
Absorption spectra of liquid water at 300 K are calculated from both classical and density functional theory molecular dynamics simulation data, which together span from 1 MHz to hundreds of THz, agreeing well with experimental data qualitativley and quantitavely over the entire range, including the IR modes, the microwave peak, and the intermediate THz band
S. N. Gninenko, N. V. Krasnikov, V. A. Matveev
The NA64 experiment consists of two detectors which are planned to be located at the electron (NA64e) and muon (NA64$μ$) beams of the CERN SPS and start operation after the LHC long-stop 2 in 2021. Its main goals include searches for dark sector physics - particularly light dark matter (LDM), visible and invisible decays of dark photons ($A'$), and new l
Behavior of principal curvatures of frontals near non-front singular points and their application
math.DGKentaro Saji, Keisuke Teramoto
We investigate behavior of principal curvatures and principal vectors near a non-degenerate singular point of the first kind of frontals. As an application, we extend the notion of Ribaucour transformations to frontals with singular points.
Pablo Lessa, Lucas Oliveira
We study a family of mappings from the powers of the unit tangent sphere at a point to a complete Riemannian manifold with non-positive sectional curvature, whose behavior is related to the spherical mean operator and the geodesic random walks on the manifold. We show that for odd powers of the unit tangent sphere the mappings are fold maps. Some consequence
J. Rodríguez, E. A. Sánchez-Pérez
Let $X$, $Y$ and $Z$ be Banach spaces and let $U$ be a subspace of $\mathcal{L}(X^*,Y)$, the Banach space of all operators from $X^*$ to $Y$. An operator $S: U \to Z$ is said to be $(\ell^s_p,\ell_p)$-summing (where $1\leq p <\infty$) if there is a constant $K\geq 0$ such that $$ \Big( \sum_{i=1}^n \|S(T_i)\|_Z^p \Big)^{1/p} \le K \sup_{x^* \in B_{X^*}} \Big
Co-Prime Sensing with Multiple Periods and Difference Set Analysis in the Presence of Sampling Jitter
eess.SPUsham V. Dias
Co-prime arrays and samplers with multiple periods is a framework in which the co-prime structure is repeated multiple times. In this paper, the effects of perturbations in sampling locations on the difference set of the prototype co-prime structure with multiple periods is analysed. Based on this analysis, a method to estimate the autocorrelation that maxim
Manufacture and Characterization of Graphene Membranes with Suspended Silicon Proof Masses for MEMS and NEMS Applications
physics.app-phXuge Fan, Anderson D. Smith, Fredrik Forsberg, Stefan Wagner
Unparalleled strength, chemical stability, ultimate surface-to-volume ratio and excellent electronic properties of graphene make it an ideal candidate as a material for membranes in micro- and nanoelectromechanical systems (MEMS and NEMS). However, the integration of graphene into MEMS or NEMS devices and suspended structures such as proof masses on graphene
Hannah Conroy Broderick, Michele Righi, Michel Destrade, Ray W. Ogden
We examine the stability of a soft dielectric plate deformed by the coupled effects of a mechanical pre-stress applied on its lateral faces and an electric field applied through its thickness under charge control. The electric field is created by spraying charges on the major faces of the plate: although in practice this mode of actuation is harder to achiev
Friedrich Schöller
The construction of a theory of quantum gravity is an outstanding problem that can benefit from better understanding the laws of nature that are expected to hold in regimes currently inaccessible to experiment. Such fundamental laws can be found by considering the classical counterparts of a quantum theory. For example, conservation laws in a quantum theory
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control
eess.SYMartina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene
In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic disturbance with unbounded support, and requiring no restrictive assumption on either independence nor Gaussianity. We revisit the rather classical approach based on penalty functions, with the aim of designing a control scheme that meets some
Shengkai Zhang, Wei Wang, Tao Jiang
This paper presents an indoor pose estimation system for micro aerial vehicles (MAVs) with a single WiFi access point. Conventional approaches based on computer vision are limited by illumination conditions and environmental texture. Our system is free of visual limitations and instantly deployable, working upon existing WiFi infrastructure without any deplo
Graeme Baker, Mykhaylo Shkolnikov
We study the solutions of the one-phase supercooled Stefan problem with kinetic undercooling, which describes the freezing of a supercooled liquid, in one spatial dimension. Assuming that the initial temperature lies between the equilibrium freezing point and the characteristic invariant temperature throughout the liquid our main theorem shows that, as the k
An XMM-Newton X-ray View of Supernova Remnant W49B: Revisiting its Recombining Plasmas and Progenitor Type
astro-ph.HELei Sun, Yang Chen
We present a comprehensive X-ray spectroscopy and imaging study of supernova remnant W49B using archival XMM-Newton observations. The overionization state of the shocked ejecta in W49B is clearly indicated by the radiative recombination continua of Si XIV, S XV, and Fe XXV, combined with the Ly$α$ lines of Ca and Fe. The line flux images of W49B indicate hig
D. I. Karasev, S. Yu. Sazonov, A. Yu. Tkachenko, G. A. Khorunzhev
We continue the study begun in Karasev et al. (2018) and present the results of our optical identifications of four hard X-ray sources from the INTEGRAL sky surveys. Having first improved the positions of these objects in the sky with the X-ray telescope (XRT) of the Swift observatory, we have identified their counterparts using optical and infrared sky surv
Jonas Bamse Andersen, Jørgen Bang-Jensen, Anders Yeo
We give an FPT algorithm for deciding whether the vertex set a digraph $D$ can be partitioned into two disjoint sets $V_1,V_2$ such that the digraph $D[V_1]$ induced by $V_1$ has a vertex that can reach all other vertices by directed paths, the digraph $D[V_2]$ has no vertex of in-degree zero and $|V_i|\geq k_i$, where $k_1,k_2$ are part of the input. This s
Chen Ling, Ruiqi Wang, Guangmo Tong
As a means of modern communication tools, online discussion forums have become an increasingly popular platform that allows asynchronous online interactions. People share thoughts and opinions through posting threads and replies, which form a unique communication structure between main threads and associated replies. It is significant to understand the infor
Signature of band inversion in the perovskite thin-film alloys BaSn$_{1-x}$Pb$_x$O$_3$
cond-mat.mtrl-sciJunichi Shiogai, Takumaru Chida, Kenichiro Hashimoto, Kohei Fujiwara
Perovskite oxides ABO$_3$ containing heavy B-site elements are a class of candidate materials to host topological metals with a large spin-orbit interaction. In contrast to the band insulator BaSnO$_3$, the semimetal BaPbO$_3$ is proposed to be a typical example with an inverted band structure, the conduction band of which is composed of mainly the O-2p orbi
Width dependent auto-oscillating properties of constriction based spin Hall nano-oscillators
cond-mat.mes-hallAhmad A. Awad, Afshin Houshang, Mohammad Zahedinejad, Roman Khymyn
We study the current tunable microwave signal properties of nano-constriction based spin Hall nano-oscillators (SHNOs) in oblique magnetic fields as a function of the nano-constriction width, $w=$~50--140 nm. The threshold current is found to scale linearly with $w$, defining a constant threshold current density of $J_{th}=$ 1.7 $\times$ 10$^{8}$ A/cm$^2$. W
Paul F. X. Müller, Katharina Riegler
In this paper we present the necessary modifications of the proof by Mozolyako and Havin in to work for Lipschitz domains instead of $\mathcal{C}^2$ domains.
Daniel Bissinger
Let $r \in \mathbb N$, $Γ_r$ be the generalized Kronecker quiver with $r$ arrows $γ_1,\ldots,γ_r \colon 1 \to 2$ and $δ\in Δ_+(Γ_r)$ be a positive root of $Γ_r$. We say that $δ$ has the equal kernels property if for all $α\in k^r \setminus \{0\}$ and every indecomposable representation $M$ with dimension vector $\underline{dim} M = δ$ the $k$-linear map $M^α
Xuan Mao, Guo-qing Qin, Hao Zhang, Hong Yang
As an important device for detecting rotation, high sensitivity gyroscope is required for practical applications. In recent years, exceptional point (EP) shows its potential in enhancing the sensitivity of sensing in optical cavity. Here we propose an EP enhanced optical gyroscope based on mechanical PT-symmetric system in microcavity. By pumping the two opt
Jakub Nadolny, Maritza A. Lara-López, Miguel Cerviño, Ángel Bongiovanni
A sample of low-mass H$α$ emission line sources (ELS) at $z\,\sim\,0.4$ was studied in the context of the mass-metallicty relation (MZR) and its possible evolution. We drew our sample from the OSIRIS Tunable Emission Line Object (OTELO) survey, which exploits the red tunable filter of OSIRIS at the Gran Telescopio Canarias to perform a blind narrow-band spec
Sadhana Singh, R. K. Singh, Sanjay Kumar
Polymers in shear flow are ubiquitous and we study their motion in a viscoelastic fluid under shear. Employing dumbbells as representative, we find that the center of mass motion follows: $\langle x^2_c(t) \rangle \sim \dotγ^2 t^{α+2}, ~0< α<1$, generalizing the earlier result: $\langle x^2_c(t) \rangle \sim \dotγ^2t^3 ~(α= 1)$. Motion of the relative coordi
Giuseppe Favacchio, Graham Keiper, Adam Van Tuyl
For all integers $4 \leq r \leq d$, we show that there exists a finite simple graph $G= G_{r,d}$ with toric ideal $I_G \subset R$ such that $R/I_G$ has (Castelnuovo-Mumford) regularity $r$ and $h$-polynomial of degree $d$. To achieve this goal, we identify a family of graphs such that the graded Betti numbers of the associated toric ideal agree with its init
J. Blümlein, A. Maier, P. Marquard, G. Schäfer
We calculate the motion of binary mass systems in gravity up to the sixth post--Newtonian order to the $G_N^3$ terms ab initio using momentum expansions within an effective field theory approach based on Feynman amplitudes in harmonic coordinates. For these contributions we construct a canonical transformation to isotropic and to EOB coordinates at 5PN and a
Parthajit Bhowal, Rajat Kanti Nath
In this paper we compute spectrum, Laplacian spectrum, signless Laplacian spectrum and their corresponding energies of commuting conjugacy class graph of the group $G(p, m, n) = \langle x, y : x^{p^m} = y^{p^n} = [x, y]^p = 1, [x, [x, y]] = [y, [x, y]] = 1\rangle$, where $p$ is any prime, $m \geq 1$ and $n \geq 1$. We derive some consequences along with the
Alan D. Rendall, Pia Brechmann
The Selkov oscillator, a simple description of glycolysis, is a system of two ordinary differential equations with mass action kinetics. In previous work the authors established several properties of the solutions of this system. In the present paper we extend this to prove that this system has solutions which diverge to infinity in an oscillatory manner at
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification
cs.CVHuibing Wang, Jinjia Peng, Guangqi Jiang, Fengqiang Xu
With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehicle in large datasets from non-overlapping cameras should be highlighted, which has grown into a hot topic in promoting intelligent transportation systems. However, vehicle re-iden
Masoud S. M. Mollaei, Anna Hurshkainen, Sergei Kurdjumov, Constantin Simovski
In this paper an approach for broadening of operational band in a dense array of dipole antennas by implementing passive split-loop resonators (SLRs) as decouplers is presented. Compared to the previous method, where three closely located active dipoles were decoupled by two passive dipole, the operational band is significantly improved from $0.5 \%$ to $1.6
Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar
Recovering the 3D structure of the surrounding environment is an essential task in any vision-controlled Structure-from-Motion (SfM) scheme. This paper focuses on the theoretical properties of the SfM, known as the incremental active depth estimation. The term incremental stands for estimating the 3D structure of the scene over a chronological sequence of im
In Search for Infall Motion in molecular clumps II: HCO+ (1-0) and HCN (1-0) Observations toward a Sub-sample of Infall Candidates
astro-ph.GAYang Yang, Zhibo Jiang, Zhiwei Chen, Shaobo Zhang
Gravitational accretion accumulates the original mass, and this process is crucial for us to understand the initial phases of star formation. Using the specific infall profiles in optically thick and thin lines, we searched the clumps with infall motion from the Milky Way Imaging Scroll Painting (MWISP) CO data in previous work. In this study, we selected 13
Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois
The consumer Internet of Things (IoT) space has experienced a significant rise in popularity in the recent years. From smart speakers, to baby monitors, and smart kettles and TVs, these devices are increasingly found in households around the world while users may be unaware of the risks associated with owning these devices. Previous work showed that these de
Gyrokinetic understanding of the edge pedestal transport driven by resonant magnetic perturbations in a realistic divertor geometry
physics.plasm-phRobert Hager, C. S. Chang, N. M. Ferraro, R. Nazikian
Self-consistent simulations of neoclassical and electrostatic turbulent transport in a DIII-D H-mode edge plasma under resonant magnetic perturbations (RMPs) have been performed using the global total-f gyrokinetic particle-in-cell code XGC, in order to study density-pump out and electron heat confinement. The RMP field is imported from the extended magneto-
Fatih Semiz, Faruk Polat
In real life, providing security for a set of large areas by covering the area with Unmanned Aerial Vehicles (UAVs) is a difficult problem that consist of multiple objectives. These difficulties are even greater if the area coverage must continue throughout a specific time window. We address this by considering a Vehicle Routing Problem with Time Windows (VR
Critically Evaluated Energy Levels, Wavelengths, Transition Probabilities, and Intensities of Six-Times Ionized Cesium: Cs VII
physics.atom-phAbid Husain, K. Haris, S. Jabeen, A. Tauheed
Previously reported works on the spectrum of Cs VII are critically studied using supplementary spectrograms recorded on a 3 m normal incidence vacuum spectrograph in the wavelength region 300-1240 A at the Antigonish laboratory (Canada). We confirmed the results of the earlier work of Gayasov and Joshi on this spectrum. Our analysis is supported by extended
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
cs.SISiyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu
User identity linkage across social networks is an essential problem for cross-network data mining. Since network structure, profile and content information describe different aspects of users, it is critical to learn effective user representations that integrate heterogeneous information. This paper proposes a novel framework with INformation FUsion and Nei
Matteo Viale
The paper is the second of two and shows that (assuming large cardinals) set theory is a tractable (and we dare to say tame) first order theory when formalized in a first order signature with natural predicate symbols for the basic definable concepts of second and third order arithmetic, and appealing to the model-theoretic notions of model completeness and
Antoine Baudiquez, Éric Lantz, Enrico Rubiola, François Vernotte
The cross-spectrum method consists in measuring a signal $c(t)$ simultaneously with two independent instruments. Each of these instruments contributes to the global noise by its intrinsec (white) noise, whereas the signal $c(t)$ that we want to characterize could be a (red) noise. We first define the real part of the cross-spectrum as a relevant estimator. T
Kohei Nagai, Kento Uchida, Naotaka Yoshikawa, Takahiko Endo
The Floquet state, which is a periodically and intensely light driven quantum state in solids, has been attracting attention as a novel state that is coherently controllable on an ultrafast time scale. An important issue has been to demonstrate experimentally novel electronic properties in the Floquet state. One technique to demonstrate them is the light sca
Graphene ribbons with suspended masses as transducers in ultra-small nanoelectromechanical accelerometers
physics.app-phXuge Fan, Fredrik Forsberg, Anderson D. Smith, Stephan Schröder
Nanoelectromechanical system (NEMS) sensors and actuators could be of use in the development of next generation mobile, wearable, and implantable devices. However, these NEMS devices require transducers that are ultra-small, sensitive and can be fabricated at low cost. Here, we show that suspended double-layer graphene ribbons with attached silicon proof mas
The delta invariant of curves on rational surfaces II: Poincaré series and topological aspects
math.GTJosé Ignacio Cogolludo-Agustín, Tamás László, Jorge Martín-Morales, András Némethi
In this article we study abstract and embedded invariants of reduced curve germs via topological techniques. One of the most important numerical analytic invariants of an abstract curve is its delta invariant. Our primary goal is to develop delta invariant formulae for curves embedded in rational singularities in terms of embedded data. The topological machi
Maximilian Düll, Nils L. Fischer, Bjoern Malte Schaefer, Frederic P. Schuller
We show how to exploit symmetry assumptions to determine the dynamical equations for the particular geometry that underpins given matter field equations. The procedure builds on the gravitational closure equations for matter models without any a priori assumption of symmetry. It suffices to illustrate the symmetrization procedure for a Klein-Gordon field equ
Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT
cs.NIGuofa Cai, Yi Fang, Pingping Chen, Guojun Han
Code index modulated multi-carrier M-ary differential chaos shift keying (CIM-MC-M-DCSK) system not only inherits low-power and low-complexity advantages of the conventional DCSK system, but also significantly increases the transmission rate. This feature is of particular importance to Internet of Things (IoT) with trillions of low-cost devices. In particula
Michael Drmota, Marc Noy, Guan-Ru Yu
Catalytic equations appear in several combinatorial applications, most notably in the numeration of lattice path and in the enumeration of planar maps. The main purpose of this paper is to show that the asymptotic estimate for the coefficients of the solutions of (so-called) positive catalytic equations has a universal asymptotic behavior. In particular, thi
Oleksandr Chepizhko, Thomas Franosch
Microswimmers are exposed in nature to crowded environments and their transport properties depend in a subtle way on the interaction with obstacles. Here, we investigate a model for a single ideal circle swimmer exploring a two-dimensional disordered array of impenetrable obstacles. The microswimmer moves on circular orbits in the freely accessible space and
Moritz Kampelmühler, Axel Pinz
Humans are able to precisely communicate diverse concepts by employing sketches, a highly reduced and abstract shape based representation of visual content. We propose, for the first time, a fully convolutional end-to-end architecture that is able to synthesize human-like sketches of objects in natural images with potentially cluttered background. To enable
Jean Barbet-Berthet
We expand our previously founded basic theory of equiresidual algebraic geometry over an arbitrary commutative field, to a well-behaved theory of (equiresidual) algebraic varieties over a commutative field, thanks to the generalisation of affine algebraic geometry by the use of canonical localisations and $*$-algebras. We work here in an equivalent and more
Sylvain Crovisier, Adriana da Luz, Dawei Yang, Jinhua Zhang
The properties of uniform hyperbolicity and dominated splitting have been introduced to study the stability of the dynamics of diffeomorphisms. One meets difficulties when one tries to extend these definitions to vector fields and Shantao Liao has shown that it is more relevant to consider the linear Poincaré flow rather than the tangent flow in order to stu
Hina Shakir, Haroon Rasheed, Tariq Mairaj Rasool Khan
Machine learning methods with quantitative imaging features integration have recently gained a lot of attention for lung nodule classification. However, there is a dearth of studies in the literature on effective features ranking methods for classification purpose. Moreover, optimal number of features required for the classification task also needs to be eva
Bahram Kalhor, Alireza Nikravanshalmani
The purpose of this study is to analyse the correlation between content and traffic of 21,485 academic websites (universities and research institutes). The achieved result is used as an indicator which shows the performance of the websites for attracting more visitors. This inspires a best practice for developing new websites or promoting the traffic of the
Towards a Collaborative Approach to Decision Making Based on Ontology and Multi-Agent System Application to crisis management
cs.CYAhmed Maalel, Henda Ben Ghézala
The coordination and cooperation of all the stakeholders involved is a decisive point for the control and the resolution of problems. In the insecurity events, the resolution should refer to a plan that defines a general framework of the procedures to be undertaken and the instructions to be complied with; also, a more precise process must be defined by the
Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley
In recent years, the success of the Koopman operator in dynamical systems analysis has also fueled the development of Koopman operator-based control frameworks. In order to preserve the relatively low data requirements for an approximation via Dynamic Mode Decomposition, a quantization approach was recently proposed in [Peitz \& Klus, Automatica 106, 2019].
Jikun Chen, Haifan Li, Jiaou Wang, Xinyou Ke
Whilst electron correlations were previously recognized to trigger beyond conventional direct current (DC) electronic transportations (e.g. metal-to-insulator transitions, bad metal, thermistors), their respective influences to the alternation current (AC) transport are largely overlooked. Herein, we demonstrate active regulations in the electronic functiona
Marshall H. Cohen, Tuomas Savolainen
Rotations of the electric vector position angle (EVPA) in blazars are often close to an integral multiple of 180$^\circ$. There are multiple examples of this in the literature, and our analysis here, of the optical polarization data from the RoboPol monitoring program, strengthens the evidence by showing that $nπ$ rotations occur more frequently than expecte
Tanvi Verma, Pradeep Varakantham
For effective matching of resources (e.g., taxis, food, bikes, shopping items) to customer demand, aggregation systems have been extremely successful. In aggregation systems, a central entity (e.g., Uber, Food Panda, Ofo) aggregates supply (e.g., drivers, delivery personnel) and matches demand to supply on a continuous basis (sequential decisions). Due to th
Pei Yuan, Guojing Tian, Xiaoming Sun
In this paper, we generalize the concept of strong quantum nonlocality from two aspects. Firstly in $\mathbb{C}^d\otimes\mathbb{C}^d\otimes\mathbb{C}^d$ quantum system, we present a construction of strongly nonlocal quantum states containing $6(d-1)^2$ orthogonal product states, which is one order of magnitude less than the number of basis states $d^3$. Seco
Zheng Ge, Zequn Jie, Xin Huang, Rong Xu
Detecting human bodies in highly crowded scenes is a challenging problem. Two main reasons result in such a problem: 1). weak visual cues of heavily occluded instances can hardly provide sufficient information for accurate detection; 2). heavily occluded instances are easier to be suppressed by Non-Maximum-Suppression (NMS). To address these two issues, we i
V. A. Ivanov, A. A. Hurshkainen, G. A. Solomakha, M. A. Zubkov
Here we propose double-coil setup to allow high signal-to-noise ratio broad-range heteronuclear magnetic resonance imaging experiments: two independent coils, one of them tuned to $^{1}$H frequency to perform anatomical $^{1}$H imaging, and another one, metamaterial-inspired coil, tuned to the X-nucleus frequency. In this work our goal was to design a broad-
Ya-Lin Zhang, Longfei Li
Multi-task learning (MTL) aims at improving the generalization performance of several related tasks by leveraging useful information contained in them. However, in industrial scenarios, interpretability is always demanded, and the data of different tasks may be in heterogeneous domains, making the existing methods unsuitable or unsatisfactory. In this paper,
Lower bounds for conditional gradient type methods for minimizing smooth strongly convex functions
math.OCArtem Agafonov
In this paper, we consider conditional gradient methods. These are methods that use a linear minimization oracle, which, for a given vector $p \in \mathbb{R}^n$, computes the solution of the subproblem $$\arg \min_{x\in X}{\langle p,x \rangle}.$$ There are a variety of conditional gradient methods that have a linear convergence rate in a strongly convex case
Disk structure around the Class I protostar L1489 IRS revealed by ALMA: a warped disk system
astro-ph.SRJinshi Sai, Nagayoshi Ohashi, Kazuya Saigo, Tomoaki Matsumoto
We have observed the Class I protostar L1489 IRS with the Atacama Millimeter/submillimeter Array (ALMA) in Band 6. The C$^{18}$O $J=$2-1 line emission shows flattened and non-axisymmetric structures in the same direction as its velocity gradient due to rotation. We discovered that the C$^{18}$O emission shows dips at a radius of ~200-300 au while the 1.3 mm
Fast implementation of synchrosqueezing transform based on downsampling for large-scale vibration signal analysis
eess.SPDong He, Hongrui Cao
Synchrosqueezing transform (SST) is a useful tool for vibration signal analysis due to its high time-frequency (TF) concentration and reconstruction properties. However, existing SST requires much processing time for large-scale data. In this paper, some fast implementation methods of SST based on downsampled short-time Fourier transform (STFT) are proposed.
Covid-19 spread: Reproduction of data and prediction using a SIR model on Euclidean network
physics.soc-phKathakali Biswas, Abdul Khaleque, Parongama Sen
We study the datafor the cumulative as well as daily number of cases in the Covid-19 outbreak in China. The cumulative data can be fit to an empirical form obtained from a Susceptible-Infected-Removed (SIR) model studied on an Euclidean network previously. Plotting the number of cases against the distance from the epicenter for both China and Italy, we find
Miroslav Dimitrov, Tsonka Baitcheva, Nikolay Nikolov
Simple and efficient algorithm based on heuristic search by shotgun hill climbing to construct binary sequences with small peak sidelobe levels (PSL) is suggested. The algorithm is applied for generation of binary sequences of lengths between 106 and 300. Improvements are obtained in almost half of the considered lengths while for the rest of the lengths, bi
Probing the singlet-triplet splitting in double quantum dots: Implications of the ac field amplitude
cond-mat.mes-hallG. Giavaras, Yasuhiro Tokura
We consider a double quantum dot whose energy detuning is controlled by an ac electric field. We demonstrate an energy configuration for which the ac-induced current flowing through the double dot directly probes the spin-orbit anticrossing point for small ac field amplitudes. On the contrary, as the ac amplitude increases a current antiresonance is formed,
Exponential mixing for the fractional Magneto-Hydrodynamic equations with degenerate stochastic forcing
math.PRXuhui Peng, Jianhua Huang, Yan Zheng
We establish the existence, uniqueness and exponential attraction properties of an invariant measure for the MHD equations with degenerate stochastic forcing acting only in the magnetic equation. The central challenge is to establish time asymptotic smoothing properties of the associated Markovian semigroup corresponding to this system. Towards this aim we t
Generation of highly-polarized high-energy brilliant $γ$-rays via laser-plasma interaction
physics.plasm-phKun Xue, Zhen-Ke Dou, Feng Wan, Tong-Pu Yu
Generation of highly-polarized high-energy brilliant $γ$-rays via laser-plasma interaction has been investigated in the quantum radiation-reaction regime. We employ a quantum-electrodynamics particle-in-cell code to describe spin-resolved electron dynamics semiclassically and photon emission and polarization quantum mechanically in the local constant field a
Parisa Abolfath Beygi Dezfouli, Saeedeh Momtazi, Mehdi Dehghan
Users' reviews contain valuable information which are not taken into account in most recommender systems. According to the latest studies in this field, using review texts could not only improve the performance of recommendation, but it can also alleviate the impact of data sparsity and help to tackle the cold start problem. In this paper, we present a n
Determination of Photonuclear Reaction Cross-Sections on stable p-shell Nuclei by Using Deep Neural Networks
nucl-thSerkan Akkoyun, Hüseyin Kaya, Abdulkadir Şeker, Saliha Yeşilyurt
The photonuclear reactions which is induced by high-energetic photon are one of the important type of reactions in the nuclear structure studies. In this reaction, a target material is bombarded by photons with the energies in the range of gamma-ray energy scale and the photons can statistically be absorbed by a nucleus in the target material. In order to ge
Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos
cs.CVYijun Song, Jingwen Wang, Lin Ma, Zhou Yu
The task of temporally grounding textual queries in videos is to localize one video segment that semantically corresponds to the given query. Most of the existing approaches rely on segment-sentence pairs (temporal annotations) for training, which are usually unavailable in real-world scenarios. In this work we present an effective weakly-supervised model, n
Kinetics of actin networks formation measured by time resolved particle-tracking microrheology
cond-mat.softMaayan Levin, Raya Sorkin, David Pine, Rony Granek
Actin is one of the most studied cytoskeleton proteins showing a very rich span of structures. It can self-assemble actively into dynamical structures that govern the mechanical properties of the cell, its motility and its division. However, only very few studies characterize the kinetics of the active actin self-assembly process beyond the formation of an e