cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A preconditioning technique for all-at-once system from the nonlinear tempered fractional diffusion equation
Creators: name: Zhao, Yong-Liang
name: Zhu, Pei-Yong
name: Gu, Xian-Ming
name: Zhao, Xi-Le
name: Jian, Huan-Yan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65L05, 65N22, 65F10

description: An all-at-once linear system arising from the nonlinear tempered fractional diffusion equation with variable coefficients is studied. Firstly, the nonlinear and linearized implicit schemes are proposed to approximate such the nonlinear equation with continuous/discontinuous coefficients. The stabilities and convergences of the two schemes are proved under several suitable assumptions, and numerical examples show that the convergence orders of these two schemes are $1$ in both time and space. Secondly, a nonlinear all-at-once system is derived based on the nonlinear implicit scheme, which may suitable for parallel computations. Newton's method, whose initial value is obtained by interpolating the solution of the linearized implicit scheme on the coarse space, is chosen to solve such the nonlinear all-at-once system. To accelerate the speed of solving the Jacobian equations appeared in Newton's method, a robust preconditioner is developed and analyzed. Numerical examples are reported to demonstrate the effectiveness of our proposed preconditioner. Meanwhile, they also imply that such the initial guess for Newton's method is more suitable.
description: 10 tables, 2 figures
A Multigrid Preconditioner for Tensor Product Spline Smoothing
Creators: name: Siebenborn, Martin
name: Wagner, Julian
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Uni- and bivariate data smoothing with spline functions is a well established method in nonparametric regression analysis. The extension to multivariate data is straightforward, but suffers from exponentially increasing memory and computational complexity. Therefore, we consider a matrix-free implementation of a geometric multigrid preconditioned conjugate gradient method for the regularized least squares problem resulting from tensor product B-spline smoothing with multivariate and scattered data. The algorithm requires a moderate amount of memory and is therefore applicable also for high-dimensional data. Moreover, for arbitrary but fixed dimension, we achieve grid independent convergence which is fundamental to achieve algorithmic scalability.
Modeling, Analysis, and Mitigation of Dynamic Botnet Formation in Wireless IoT Networks
Creators: name: Farooq, Muhammad Junaid
name: Zhu, Quanyan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The Internet of Things (IoT) relies heavily on wireless communication devices that are able to discover and interact with other wireless devices in their vicinity. The communication flexibility coupled with software vulnerabilities in devices, due to low cost and short time-to-market, exposes them to a high risk of malware infiltration. Malware may infect a large number of network devices using device-to-device (D2D) communication resulting in the formation of a botnet, i.e., a network of infected devices controlled by a common malware. A botmaster may exploit it to launch a network-wide attack sabotaging infrastructure and facilities, or for malicious purposes such as collecting ransom. In this paper, we propose an analytical model to study the D2D propagation of malware in wireless IoT networks. Leveraging tools from dynamic population processes and point process theory, we capture malware infiltration and coordination process over a network topology. The analysis of mean-field equilibrium in the population is used to construct and solve an optimization problem for the network defender to prevent botnet formation by patching devices while causing minimum overhead to network operation. The developed analytical model serves as a basis for assisting the planning, design, and defense of such networks from a defender's standpoint.
Antillicharis nocturus Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Antillicharis
Antillicharis nocturus

description: Antillicharis nocturus Otte and Perez-Gelabert, 2009
Otte and Perez-Gelabert 2009: 251, fig. 293.
Holotype male, from Casa de Bernardo, Palma Mocha, Sierra Maestra, Santiago de Cuba province, Cuba. [ANSP-3086].
Distribution. Cuba
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation
Creators: name: Muresan, Matthew
name: Fu, Liping
name: Pan, Guangyuan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents the results of a new deep learning model for traffic signal control. In this model, a novel state space approach is proposed to capture the main attributes of the control environment and the underlying temporal traffic movement patterns, including time of day, day of the week, signal status, and queue lengths. The performance of the model was examined over nine weeks of simulated data on a single intersection and compared to a semi-actuated and fixed time traffic controller. The simulation analysis shows an average delay reductions of 32% when compared to actuated control and 37% when compared to fixed time control. The results highlight the potential for deep reinforcement learning as a signal control optimization method.
Multichannel reconstruction from nonuniform samples with application to image recovery
Creators: name: Cheng, Dong
name: Kou, Kit Ian
Publisher: name: arXiv
Year: 2019
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Numerical Analysis (math.NA)
subject: Image and Video Processing (eess.IV)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 42A15, 94A12, 65T50, 94A08

description: The multichannel trigonometric reconstruction from uniform samples was proposed recently. It not only makes use of multichannel information about the signal but is also capable to generate various kinds of interpolation formulas according to the types and amounts of the collected samples. The paper presents the theory of multichannel interpolation from nonuniform samples. Two distinct models of nonuniform sampling patterns are considered, namely recurrent and generic nonuniform sampling. Each model involves two types of samples: nonuniform samples of the observed signal and its derivatives. Numerical examples and quantitative error analysis are provided to demonstrate the effectiveness of the proposed algorithms. Additionally, the proposed algorithm for recovering highly corrupted images is also investigated. In comparison with the median filter and correction operation treatment, our approach produces superior results with lower errors.
description: 27 pages, 9 figures
A convergence analysis of Generalized Multiscale Finite Element Methods
Creators: name: Abreu, Eduardo
name: Diaz, Ciro
name: Galvis, Juan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper, we consider an approximation method, and a novel general analysis, for second-order elliptic differential equations with heterogeneous multiscale coefficients. We obtain convergence of the Generalized Multi-scale Finite Element Method (GMsFEM) method that uses local eigenvectors in its construction. The analysis presented here can be extended, without great difficulty, to more sophisticated GMsFEMs. For concreteness, the obtained error estimates generalize and simplify the convergence analysis of [J. Comput. Phys. 230 (2011), 937-955]. The GMsFEM method construct basis functions that are obtained by multiplication of (approximation of) local eigenvectors by partition of unity functions. Only important eigenvectors are used in the construction. The error estimates are general and are written in terms of the eigenvalues of the eigenvectors not used in the construction. The error analysis involve local and global norms that measure the decay of the expansion of the solution in terms of local eigenvectors. Numerical experiments are carried out to verify the feasibility of the approach with respect to the convergence and stability properties of the analysis in view of the good scientific computing practice.
Antillicharis polypsophos Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Antillicharis
Antillicharis polypsophos

description: Antillicharis polypsophos Otte and Perez-Gelabert, 2009
Otte and Perez-Gelabert, 2009: 246, fig. 261.
Holotype male No. 3091, from Pico Turquino (1800 m), Santiago de Cuba province, Cuba. [ANSP-3091].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
A Divergence-Conforming Hybridized Discontinuous Galerkin Method for the Incompressible Reynolds Averaged Navier-Stokes Equations
Creators: name: Peters, Eric L.
name: Evans, John A.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We introduce a hybridized discontinuous Galerkin method for the incompressible Reynolds Averaged Navier-Stokes equations coupled with the Spalart-Allmaras one equation turbulence model. With a special choice of velocity and pressure spaces for both element and trace degrees of freedom, we arrive at a method which returns point-wise divergence-free mean velocity fields and properly balances momentum and energy. We further examine the use of different polynomial degrees and meshes to see how the order of the scalar eddy viscosity affects the convergence of the mean velocity and pressure fields, specifically for the method of manufactured solutions. As is standard with hybridized discontinuous Galerkin methods, static condensation can be employed to remove the element degrees of freedom and thus dramatically reduce the global number of degrees of freedom. Numerical results illustrate the effectiveness of the proposed methodology.
On the controllability of the Navier-Stokes equation in a rectangle, with a little help of a distributed phantom force
Creators: name: Coron, Jean-Michel
name: Marbach, Frédéric
name: Sueur, Franck
name: Zhang, Ping
Publisher: name: arXiv
Year: 2019
Subjects: subject: Analysis of PDEs (math.AP)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 35Q30, 93B05, 93C20

description: This note echoes the talk given by the second author during the Journées EDP 2018 in Obernai. Its aim is to provide an overview and a sketch of proof of the result obtained by the authors, concerning the controllability of the Navier-Stokes equation. We refer the interested readers to the original paper for the full technical details of the proof, which will be omitted here, to focus on the main underlying ideas.
description: Notes on arxiv:1801.01860
Causality and Bayesian network PDEs for multiscale representations of porous media
Creators: name: Um, Kimoon
name: Hall, Eric Joseph
name: Katsoulakis, Markos A.
name: Tartakovsky, Daniel M.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Microscopic (pore-scale) properties of porous media affect and often determine their macroscopic (continuum- or Darcy-scale) counterparts. Understanding the relationship between processes on these two scales is essential to both the derivation of macroscopic models of, e.g., transport phenomena in natural porous media, and the design of novel materials, e.g., for energy storage. Most microscopic properties exhibit complex statistical correlations and geometric constraints, which presents challenges for the estimation of macroscopic quantities of interest (QoIs), e.g., in the context of global sensitivity analysis (GSA) of macroscopic QoIs with respect to microscopic material properties. We present a systematic way of building correlations into stochastic multiscale models through Bayesian networks. This allows us to construct the joint probability density function (PDF) of model parameters through causal relationships that emulate engineering processes, e.g., the design of hierarchical nanoporous materials. Such PDFs also serve as input for the forward propagation of parametric uncertainty; our findings indicate that the inclusion of causal relationships impacts predictions of macroscopic QoIs. To assess the impact of correlations and causal relationships between microscopic parameters on macroscopic material properties, we use a moment-independent GSA based on the differential mutual information. Our GSA accounts for the correlated inputs and complex non-Gaussian QoIs. The global sensitivity indices are used to rank the effect of uncertainty in microscopic parameters on macroscopic QoIs, to quantify the impact of causality on the multiscale model's predictions, and to provide physical interpretations of these results for hierarchical nanoporous materials.
description: 23 pages, 11 figures and 5 tables
Carylla Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Carylla

description: Genus Carylla Otte and Perez-Gelabert, 2009
Carylla Otte and Perez-Gelabert, 2009: 264.
Type species: Orocharis vaginalis Saussure, 1878.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
Creators: name: Yuan, Longhao
name: Li, Chao
name: Cao, Jianting
name: Zhao, Qibin
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Dimensionality reduction is an essential technique for multi-way large-scale data, i.e., tensor. Tensor ring (TR) decomposition has become popular due to its high representation ability and flexibility. However, the traditional TR decomposition algorithms suffer from high computational cost when facing large-scale data. In this paper, taking advantages of the recently proposed tensor random projection method, we propose two TR decomposition algorithms. By employing random projection on every mode of the large-scale tensor, the TR decomposition can be processed at a much smaller scale. The simulation experiment shows that the proposed algorithms are $4-25$ times faster than traditional algorithms without loss of accuracy, and our algorithms show superior performance in deep learning dataset compression and hyperspectral image reconstruction experiments compared to other randomized algorithms.
description: ICASSP submission
Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems
Creators: name: Chen, Jiayin
name: Nurdin, Hendra I.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, we develop a theory of learning nonlinear input-output maps with fading memory by dissipative quantum systems, as a quantum counterpart of the theory of approximating such maps using classical dynamical systems. The theory identifies the properties required for a class of dissipative quantum systems to be {\em universal}, in that any input-output map with fading memory can be approximated arbitrarily closely by an element of this class. We then introduce an example class of dissipative quantum systems that is provably universal. Numerical experiments illustrate that with a small number of qubits, this class can achieve comparable performance to classical learning schemes with a large number of tunable parameters. Further numerical analysis suggests that the exponentially increasing Hilbert space presents a potential resource for dissipative quantum systems to surpass classical learning schemes for input-output maps.
description: 33 pages, 12 figures, 2 tables. Close to published version in Quantum Information Processing (https://rdcu.be/bCBUf)
A least-squares implicit RBF-FD closest point method and applications to PDEs on moving surfaces
Creators: name: Petras, A.
name: Ling, L.
name: Piret, C.
name: Ruuth, S. J.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: The closest point method (Ruuth and Merriman, J. Comput. Phys. 227(3):1943-1961, [2008]) is an embedding method developed to solve a variety of partial differential equations (PDEs) on smooth surfaces, using a closest point representation of the surface and standard Cartesian grid methods in the embedding space. Recently, a closest point method with explicit time-stepping was proposed that uses finite differences derived from radial basis functions (RBF-FD). Here, we propose a least-squares implicit formulation of the closest point method to impose the constant-along-normal extension of the solution on the surface into the embedding space. Our proposed method is particularly flexible with respect to the choice of the computational grid in the embedding space. In particular, we may compute over a computational tube that contains problematic nodes. This fact enables us to combine the proposed method with the grid based particle method (Leung and Zhao, J. Comput. Phys. 228(8):2993-3024, [2009]) to obtain a numerical method for approximating PDEs on moving surfaces. We present a number of examples to illustrate the numerical convergence properties of our proposed method. Experiments for advection-diffusion equations and Cahn-Hilliard equations that are strongly coupled to the velocity of the surface are also presented.
Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
Creators: name: Kochdumper, Niklas
name: Althoff, Matthias
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We introduce sparse polynomial zonotopes, a new set representation for formal verification of hybrid systems. Sparse polynomial zonotopes can represent non-convex sets and are generalizations of zonotopes, polytopes, and Taylor models. Operations like Minkowski sum, quadratic mapping, and reduction of the representation size can be computed with polynomial complexity w.r.t. the dimension of the system. In particular, for reachability analysis of nonlinear systems, the wrapping effect is substantially reduced using sparse polynomial zonotopes, as demonstrated by numerical examples. In addition, we can significantly reduce the computation time compared to zonotopes when dealing with nonlinear dynamics.
Carylla indomitos Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Carylla
Carylla indomitos

description: Carylla indomitos Otte and Perez-Gelabert, 2009
Otte and Perez-Gelabert, 2009: 264, fig. 364.
Holotype male, from Cuba. [ANSP-2978].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Carylla vaginalis Saussure 1878
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Carylla
Carylla vaginalis

description: Carylla vaginalis (Saussure 1878)
Orocharis vaginalis Saussure, 1878: 615; Gundlach, 1891: 382; Rehn, 1909: 225; Chopard, 1968: 390; Zayas, 1976: 76. Carylla vaginalis: Otte and Perez-Gelabert, 2009: 264, figs. 349, 350.
Syntypes male and female, from Cuba. [MHNG].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Hapithus Uhler 1864
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Hapithus

description: Genus Hapithus Uhler, 1864
Hapithus Uhler, 1864: 546.
Type species: Hapithus agitator Uhler, 1864.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Hapithus aphaeretos Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Hapithus
Hapithus aphaeretos

description: Hapithus aphaeretos Otte and Perez-Gelabert, 2009
Otte and Perez-Gelabert, 2009: 230, fig. 207.
Holotype male, from Havana province, Cuba. [ANSP-2948].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
A dual mode adaptive basal-bolus advisor based on reinforcement learning
Creators: name: Sun, Qingnan
name: Jankovic, Marko V.
name: Budzinski, João
name: Moore, Brett
name: Diem, Peter
name: Stettler, Christoph
name: Mougiakakou, Stavroula G.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG or CGM devices to provide personalised suggestions for the daily basal rate and prandial insulin doses on the basis of the patients' glucose level on the previous day. The ABBA is based on reinforcement learning (RL), a type of artificial intelligence, and was validated in silico with an FDA-accepted population of 100 adults under different realistic scenarios lasting three simulated months. The scenarios involve three main meals and one bedtime snack per day, along with different variabilities and uncertainties for insulin sensitivity, mealtime, carbohydrate amount, and glucose measurement time. The results indicate that the proposed approach achieves comparable performance with CGM or SMBG as input signals, without influencing the total daily insulin dose. The results are a promising indication that AI algorithmic approaches can provide personalised adaptive insulin optimisation and achieve glucose control - independently of the type of glucose monitoring technology.
description: 9 pages, 8 figures, accepted by Journal of Biomedical and Health Informatics in December 2018
Hapithus emeljanovi Gorochov 1993
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Hapithus
Hapithus emeljanovi

description: Hapithus emeljanovi Gorochov, 1993
Gorochov 1993: 18, figs. 2, 4, 9–11; Otte and Perez-Gelabert, 2009: 230, fig. 209.
Holotype male, from Varadero, Matanzas province, Cuba. [ZIRAS].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 418, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Hapithus irroratus
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Hapithus
Hapithus irroratus

description: Hapithus irroratus (Bolívar, 1888)
Apithes irroratus Bolívar, 1888: 161. Hapithus irroratus: Chopard, 1968: 387; Zayas, 1976: 73, figs. 66A and B; Otte and Perez-Gelabert, 2009: 230, fig. 208.
Syntype from Cuba. [MNCN].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 419, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Comparison of Phytochemicals and Antioxidant Capacitiesof Ethanol Extracts from Different Parts ofElsholtzia beddomei C.B.Clarke ex Hook. f.
Creators: name: Pattawat Seekhaw
Publisher: name: Research Division
Year: 2024
Subjects: Phytochemicals
Antioxidant activity
Elsholtzia beddomei C. B. Clarke ex Hook. f.

description: Thai Science and Technology Journal, 32, 2, 1-12
MPEC 2024-L61 : 2024 LD1
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 LD1

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Incentive Compatibility in Stochastic Dynamic Systems
Creators: name: Ma, Ke
name: Kumar, P. R.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: While the classic Vickrey-Clarke-Groves mechanism ensures incentive compatibility for a static one-shot game, it does not appear to be feasible to construct a dominant truth-telling mechanism for agents that are stochastic dynamic systems. The contribution of this paper is to show that for a set of LQG agents a mechanism consisting of a sequence of layered payments over time decouples the intertemporal effect of current bids on future payoffs and ensures truth-telling of dynamic states by their agents, if system parameters are known and agents are rational. Additionally, it is shown that there is a "Scaled" VCG mechanism that simultaneously satisfies incentive compatibility, social efficiency, budget balance as well as individual rationality under a certain "market power balance" condition where no agent is too negligible or too dominant. A further desirable property is that the SVCG payments converge to the Lagrange payments, the payments corresponding to the true price in the absence of strategic considerations, as the number of agents in the market increases. For LQ but non-Gaussian agents the optimal social welfare over the class of linear control laws is achieved.
description: arXiv admin note: text overlap with arXiv:1803.06734
On adaptive BDDC for the flow in heterogeneous porous media
Creators: name: Sousedík, Bedřich
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: G.1.3
subject: 65F08, 65F10, 65M55, 65N55

description: We study a method based on Balancing Domain Decomposition by Constraints (BDDC) for a numerical solution of a single-phase flow in heterogenous porous media. The method solves for both flux and pressure variables. The fluxes are resolved in three steps: the coarse solve is followed by subdomain solves and last we look for a divergence-free flux correction and pressures using conjugate gradients with the BDDC preconditioner. Our main contribution is an application of the adaptive algorithm for selection of flux constraints. Performance of the method is illustrated on the benchmark problem from the 10th SPE Comparative Solution Project (SPE 10). Numerical experiments in both 2D and 3D demonstrate that the first two steps of the method exhibit some numerical upscaling properties, and the adaptive preconditioner in the last step allows a significant decrease in number of iterations of conjugate gradients at a small additional cost.
description: 21 pages, 7 figures
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency
Creators: name: Mukherjee, Sayak
name: Chakrabortty, Aranya
name: Babaei, Saman
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents a mathematical analysis of how wind generation impacts the coherency property of power systems. Coherency arises from time-scale separation in the dynamics of synchronous generators, where generator states inside a coherent area synchronize over a fast time-scale due to stronger coupling, while the areas themselves synchronize over a slower time-scale due to weaker coupling. This time-scale separation is reflected in the form of a spectral separation in the weighted Laplacian matrix describing the swing dynamics of the generators. However, when wind farms with doubly-fed induction generators (DFIG) are integrated in the system then this Laplacian matrix changes based on both the level of wind penetration and the location of the wind farms. The modified Laplacian changes the effective slow eigenspace of the generators. Depending on penetration level, this change may result in changing the identities of the coherent areas. We develop a theoretical framework to quantify this modification, and validate our results with numerical simulations of the IEEE 68-bus system with one and multiple wind farms. We compare our model based results on clustering with results using measurement-based principal component analysis to substantiate our derivations.
description: 8 pages, 11 figures
Using a Mixture of Corn Gluten Meal and Meat and BoneMeal to Replace Dietary Fishmeal and a Mixture of CornGluten Meal and DDGS to Replace Soybean Meal forJuvenile White Shrimp
Creators: name: Pichet Plaipetch
Publisher: name: Research Division
Year: 2024
Subjects: Corn gluten meal
Meat and bone meal
Fishmeal
DDGS
Soybean meal

description: Thai Science and Technology Journal, 32, 2, 27-41
Solar-Sail Deep Space Trajectory Optimization Using Successive Convex Programming
Creators: name: Song, Yu
name: Gong, Shengping
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents a novel methodology for solving the time-optimal trajectory optimization problem for interplanetary solar-sail missions using successive convex programming. Based on the non-convex problem, different convexification technologies, such as change of variables, successive linearization, trust regions and virtual control, are discussed to convert the original problem into the formulation of successive convex programming. Because of the free final-time, successive linearization is performed iteratively for the nonconvex terminal state constraints. After the convexification process, each of problems becomes a convex problem, which can be solved effectively. An augmented objective function is introduced to ensure the convergence performance and effectiveness of our algorithm. After that, algorithms are designed to solve the discrete sub-problems in a successive solution procedure. Finally, numerical results demonstrate the effectiveness and accuracy of our algorithms.
description: 25 pages, 10 figures (This is a pre-print of an article accepted in Astrophysics and Space Science. The final authenticated version will be available online at: https://doi.org/10.1007/s10509-019-3597-x)
Growth and Flesh Quality of Cobia Fed with IncreasedLipid and Reduced Protein Diet and IncreasedCarbohydrate and Reduced Lipid Diet
Creators: name: Pichet Plaipetch
Publisher: name: Research Division
Year: 2024
Subjects: Cobia
Artificial feed
Protein
Lipid
Carbohydrate

description: Thai Science and Technology Journal, 32, 2, 55-66
title: Enantioselective Alkene Hydroalkylation Overcoming Heteroatom Constraints via Cobalt Catalysis
title: The upload files are the computational output files of frequency and single point calculations
titleType: Subtitle
Creators: name: Liu, Deguang
Publisher: name: Zenodo
Year: 2024
Subjects: DFT

description: The upload files are the computational output files of frequency and single point calculations for 
PMU-based Distributed Non-iterative Algorithm for Real-time Voltage Stability Monitoring
Creators: name: Guddanti, Kishan Prudhvi
name: Matavalam, Amarsagar Reddy Ramapuram
name: Weng, Yang
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The Phasor measurement unit (PMU) measurements are mandatory to monitor the power system's voltage stability margin in an online manner. Monitoring is key to the secure operation of the grid. Traditionally, online monitoring of voltage stability using synchrophasors required a centralized communication architecture, which leads to high investment cost and cyber-security concerns. The increasing importance of cyber-security and low investment cost have recently led to the development of distributed algorithms for online monitoring of the grid that are inherently less prone to malicious attacks. In this work, a novel distributed non-iterative voltage stability index (VSI) is proposed by recasting the power flow equations as circles. The online computations of VSI are simultaneously performed by the processors embedded at each bus in the smart grid with the help of PMUs and communication of voltage phasors between neighboring buses. The distributed nature of the index enables the real-time identification of the critical bus of the system with minimal communication infrastructure. The effectiveness of the proposed distributed index is demonstrated on IEEE test systems and contrasted with existing methods to show the benefits of the proposed method in speed, interpretability, identification of outage location, and low sensitivity to noisy measurements.
Hapithus kerzhneri Gorochov 1993
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Hapithus
Hapithus kerzhneri

description: Hapithus kerzhneri Gorochov, 1993
Gorochov 1993: 18, figs. 3, 5, 12–14; Otte and Perez-Gelabert, 2009: 230, fig. 210.
Holotype male, from Varadero, Matanzas province, Cuba. [ZIRAS].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 419, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Laurepa F. Walker 1869
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Laurepa

description: Genus Laurepa F. Walker, 1869
Laurepa F. Walker, 1869: 96.
Type species: Laurepa valida F. Walker, 1869.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 419, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Computation of High-Order Electromagnetic Field Derivatives with FDTD and the Complex-Step Derivative Approximation
Creators: name: Liu, Kae-An
name: Lang, Hans-Dieter
name: Sarris, Costas D.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: This paper introduces a new approach for the computation of electromagnetic field derivatives, up to any order, with respect to the material and geometric parameters of a given geometry, in a single Finite-Difference Time-Domain (FDTD) simulation. The proposed method is based on embedding the complex-step derivative (CSD) approximation into the standard FDTD update equations. Being finite-difference free, CSD provides accurate derivative approximations even for very small perturbations of the design parameters, unlike finite-difference approximations that are prone to subtractive cancellation errors. The availability of accurate approximations of field derivatives with respect to design parameters enables studies such as sensitivity analysis of multiple objective functions (as derivatives of those can be derived from field derivatives via the chain rule), uncertainty quantification, as well as multi-parametric modeling and optimization of electromagnetic structures. The theory, FDTD implementation and applications of this technique are presented.
description: Submitted to IEEE Transactions on Antennas and Propagation (Aug-31-2018)
Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids
Creators: name: Wang, Shen
name: Taha, Ahmad F.
name: Wang, Jianhui
name: Kvaternik, Karla
name: Hahn, Adam
Publisher: name: arXiv
Year: 2019
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The power grid is rapidly transforming, and while recent grid innovations increased the utilization of advanced control methods, the next-generation grid demands technologies that enable the integration of distributed energy resources (DERs)---and consumers that both seamlessly buy and sell electricity. This paper develops an optimization model and blockchain-based architecture to manage the operation of crowdsourced energy systems (CES), with peer-to-peer (P2P) energy trading transactions. An operational model of CESs in distribution networks is presented considering various types of energy trading transactions and crowdsourcees. Then, a two-phase operation algorithm is presented: Phase I focuses on the day-ahead scheduling of generation and controllable DERs, whereas Phase II is developed for hour-ahead or real-time operation of distribution networks. The developed approach supports seamless P2P energy trading between individual prosumers and/or the utility. The presented operational model can also be used to operate islanded microgrids. The CES framework and the operation algorithm are then prototyped through an efficient blockchain implementation, namely the IBM Hyperledger Fabric. This implementation allows the system operator to manage the network users to seamlessly trade energy. Case studies and prototype illustration are provided.
description: 12 pages, In Press
METABOLIZMNING UMUMIY TAHLILI
Creators: name: Saburova, Yakutjan
Publisher: name: Zenodo
Year: 2024

description: Bugungi kunda tibbiyotning kundan-kunga rivojlanishi natijasida inson organizmida yuz beradigan har bir jarayon izchil o‘rganilmoqda desak mubolag‘a bo‘lmaydi. Quyidagi maqolada ham shunday jarayonlardan biri hisoblangan metabolizm haqida so‘z yuritiladi. Muallif metabolizmning yuzaga kelishi, uni tezlashtirishning yo‘llari, metabolizm bog‘liq bo‘lgan jarayonlar haqida ma’lumotlar berib o‘tgan.
title: The relationship between an independent audit and financial reporting quality
Creators: name: Chan, David Y.
Publisher: name: No Publisher Supplied
Year: 2012

description: The study starts by examining whether the decision to have an independent audit is systematic and endogenous.  Private commercial banks with under $500 million in total assets are regulatory exempt from an independent audit requirement.  However, approximately 56% of these small private commercial banks voluntarily decided to have an independent audit.  Utilizing a set of machine learning algorithms, I find that the decision to have an independent audit is systematically determinable and is endogenously determined given a set of bank characteristics.  I also find that bank size, profitability, growth, complexity of operations, and type of ownership may influence the decision to have an independent audit at small private commercial banks.      In the main part of the study, I analyze whether an independent audit improves financial reporting quality.  Financial reporting quality is quantitatively measured by material accuracy, conservative recognition of probable losses, and the magnitude of discretionary accruals.  Based on these quantitative measures, I find that having an independent audit does not improve financial reporting quality.   More specifically, the results in this study indicate that independently audited small private commercial banks had a higher likelihood of having a restatement, were less conservative in recognizing probable loan losses, and had higher magnitudes of discretionary accruals.  Collectively, the results in this study provide rigorous and substantial evidence that the quality of financial reporting may not increase by having an independent audit and may not support the benefits of procuring an independent audit absent regulatory requirements.  Moreover, the study implicates the quality of audits being performed at small private commercial banks and perhaps suggests that the audit methodology used by external auditors has to be reconsidered.
Laurepa anoptos Otte and Perez-Gelabert 2009
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Gryllidae
Laurepa
Laurepa anoptos

description: Laurepa anoptos Otte and Perez-Gelabert, 2009
Otte and Perez-Gelabert, 2009: 276, fig. 389.
Holotype male, from Ciudamar, Santiago de Cuba province, Cuba. [ANSP-3097].
Distribution. Cuba.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 419, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
A Numerical Approach for Solving of Fractional Emden-Fowler Type Equations
Creators: name: Rebenda, Josef
name: Šmarda, Zdeněk
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 34A08 34A25 34A45

description: In the paper, we utilize the fractional differential transformation (FDT) to solving singular initial value problem of fractional Emden-Fowler type differential equations. The solutions of our model equations are calculated in the form of convergent series with fast computable components. The numerical results show that the approach is correct, accurate and easy to implement when applied to fractional differential equations.
description: Proceedings of International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2017)
Network Intrusion Using Heap Sort On Weak Interactions of System Partitioning with Binary LP
Creators: name: Isiaka, Fatima
name: Audu Salihu, Abdullahi
name: Umar Ahmed, Mustafa
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 460201
subject: Artificial life and complex adaptive systems
classificationCode: 461103
subject: Deep learning
classificationCode: 461105
subject: Reinforcement learning
classificationCode: 461199
subject: Machine learning not elsewhere classified

description: The development and design of a reliable network and its services depend on the understanding of the characteristics of the traffic on its network. Different models have been developed from the network traffic throughout history. These are used for evaluating the existing and main proposed networks and the services that come with them. The demands on network traffic on computer networks are not predictable because performance modelling is needed for deciding the quality of the services at all levels. The performance models require accurate traffic on the network and a lot of traffic models have been designed based on the kind of traffic on the network. With little effect. This paper proposed a weak interaction based on system partition with the binary linear problem (LP) on Heap sort. The heap sort algorithm was used to filter the data packets for a normalized sequence of the data packets to easily identify anomalous effects during the process search. The invariant state-space process on LP is used to detect and predict anomalous activities from the large packets of network traffic collected. The result shows that the state space model in the form of n4sid is very effective in predicting anomalous effects more easily than physical phenomenal systems and can serve as a future perspective for a control dynamic for network traffic prediction that could be useful in deep learning for additional plugins to artificial intelligence (AI) algorithms.