Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining incomplete data—A rough set approach

Many real-life data sets are incomplete,or in different words,are affected by missing attribute values.Three interpretations of missing attribute values are discussed in the paper:lost values(erased values),attribute-concept values(such a value may be replaced by any value from the attribute domain restricted to the concept),and "do not care" conditions(a missing attribute value may be replaced by any value from the attribute domain). For incomplete data sets three definitions of lower and upper approximations are discussed.Experiments were conducted on six typical data sets with missing attribute values,using three different interpretations of missing attribute values and the same definition of concept lower and upper approximations.The conclusion is that the best approach to missing attribute values is the lost value type.
On‐line parameter estimation for a partially observable system subject to random failure

In this paper, we study the on‐line parameter estimation problem for a partially observable system subject to deterioration and random failure. The state of the system evolves according to a continuous time homogeneous Markov process with a finite state space. The system state is not observable, except for the failure state. The information related to the system state is available at discrete times through inspections. A recursive maximum likelihood (RML) algorithm is proposed for the on‐line parameter estimation of the model. The RML algorithm proposed in the paper is considerably faster and easier to apply than other RML algorithms in the literature, because it does not require projection into the constraint domain and calculation of the gradient on the surface of the constraint manifolds. The algorithm is illustrated by an example using real vibration data. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006
Inflow Boundary Conditions for LES/RANS Simulations with Applications to Shock Wave/ Boundary Layer Interactions

Inflow boundary conditions are developed for hybrid LES/RANS approaches. They are based on an extension of the rescaling-reintroducing method developed for LES to a hybrid scheme. A blending function is used to shift the turbulence closure from a k–ζ model near the wall to a k–∆ subgrid scale model away from the wall. The approach was tested for a flat plate and then applied to the study of a 25 deg compression-expansion ramp for a Mach number of 2.88 and a Reynolds number of 3.24 × 107/m. In general, improvements over the k–ζ model were noted in the recovery region. The significance of this work is that it provides a way for Large-Eddy Simulation methods to address flows at high Reynolds number.
Identifying Soil Parameters by Inverse Analysis of Field Testing

The identification of constitutive parameters by inverse analysis of limited experimental information is investigated. In order to ensure the quality of measurements, all the data come from a thick wall cylinder test performed on a saturated sand sample. A numerical FEM-simulation considering a linear elastic perfectly plastic model (Mohr-Coulomb) is carried out in order to determine the pressure – cavity deformation relationship. Two kinds of optimization algorithms, a deterministic and a stochastic one, are presented and implemented in the inverse procedure. The performance of theses algorithms taking for identifying three parameters (Young’s Modulus, friction angle and dilatancy angle) is compared. The two kinds of algorithms provide a quite similar response for the mathematical optimum, but some parameters sets did not have an acceptable physical meaning. Contrary to the deterministic algorithm, the genetic method provides an assembly of “satisfactory” individuals. Some of the parameters sets have acceptable physical meaning and the expert has to choose the best one considering his scientific and technical background.
Influence of structural changes in a periodic antidot waveguide on the spin-wave spectra

We demonstrate that the magnonic band structure including the band gap of ferromagnetic antidot waveguide can be significantly tuned by a relatively weak modulation of its structural parameters. We study the magnonic band structure in nanoscale spin wave waveguides with the periodically distributed small antidots along its central line by two independent computational methods, namely the micromagnetic simulation and plane wave method. The calculations were performed with consideration of both the exchange and dipolar interactions. For the exchange dominated regime we discuss, in details, the impact of the changes of the lattice constant, size and shape of the antidots on the spin wave spectra. We have shown that precise choice of these parameters is crucial for achieving desired properties of antidot waveguides, i.e., a large group velocity and filtering properties due to existence of magnonic band gaps. We discuss different mechanisms of magnonic gap opening resulting from Bragg scattering or anti-crossing of modes. We have shown, that the dipolar interactions start to assert their role in the spin wave spectrum when the waveguide is scaled up, but even for a period of few hundreds of nanomaters the magnonic band structure preserve qualitatively the properties found in the exchange dominating regime. The obtained results are important for future development of magnonic crystal based devices.
Isometrically deforming cloth with simultaneous collision handling

We propose an isometrically deforming cloth model for physics-based simulation, which works with a conforming triangle mesh yet doesn’t suffer from locking. This in itself is an important step forward for cloth animation, as many common materials essentially do not stretch, yet the only prior method capable of handling this regime used a non-conforming mesh which considerably complicated collision handling. We further introduce a general integration scheme for constrained dynamics with additional potential energy terms and frictional contact, all fully and implicitly coupled together rather than staggered in time. Shells with stiff bending forces greatly benefit from the simultaneous coupling. Moreover, we show that solving for one time step in this scheme can be transformed to solving a Newton sequence of unconstrained linear least-squares problems, resulting only in sparse, symmetric positive definite matrices which can be handled particularly efficiently.
Prediction and Analysis of β-Turns in Proteins by Support Vector Machine

Tight turn has long been recognized as one of the three important features of proteins after the alpha-helix and beta-sheet. Tight turns play an important role in globular proteins from both the structural and functional points of view. More than 90% tight turns are beta-turns. Analysis and prediction of beta-turns in particular and tight turns in general are very useful for the design of new molecules such as drugs, pesticides, and antigens. In this paper, we introduce a support vector machine (SVM) approach to prediction and analysis of beta-turns. We have investigated two aspects of applying SVM to the prediction and analysis of beta-turns. First, we developed a new SVM method, called BTSVM, which predicts beta-turns of a protein from its sequence. The prediction results on the dataset of 426 non-homologous protein chains by sevenfold cross-validation technique showed that our method is superior to the other previous methods. Second, we analyzed how amino acid positions support (or prevent) the formation of beta-turns based on the "multivariable" classification model of a linear SVM. This model is more general than the other ones of previous statistical methods. Our analysis results are more comprehensive and easier to use than previously published analysis results.
Analysis of the Noise Spectra from Oxidized Superparamagnetic Nanoparticles | NIST

S. I. Woods,1,* Snorri Ingvarsson,2 Shouheng Sun,3 and J. R. Kirtley4 1National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, USA 2Science Institute, University of Iceland, Dunhaga 3, Reykjavik IS-107, Iceland 3Department of Chemistry, Brown University, Providence, Rhode Island 02912, USA 4Center for Probing the Nanoscale, Stanford University, Palo Alto, California 94305-4045, USA (Received 5 June 2014; revised manuscript received 12 June 2014; published 18 August 2014)
Modeling Line Emission from Disk Winds

Murray & Chiang (1997) developed a model wherein broad emission lines come from the optically thick base of a rotating, outwardly accelerating wind at the surface of an accretion disk. Photons preferentially escape radially in such a wind, explaining why broad emission lines are usually single-peaked. Less well understood are the observed shifts of emission-line peaks (from 1000 km s−1 redshifted to 2500 km s−1 blueshifted in C iv, with an average 800 km s−1 blueshift).
The topographic bias in Stokes’ formula vs. the error of analytical continuation by an Earth Gravitational Model - are they the same?

Abstract Geoid determination below the topographic surface in continental areas using analytical continuation of gravity anomaly and/or an external type of solid spherical harmonics determined by an Earth GravitationalModel (EGM) inevitably leads to a topographic bias, as the true disturbing potential at the geoid is not harmonic in contrast to its estimates. We show that this bias differs for the geoid heights represented by Stokes’ formula, an EGMand for the modified Stokes formula. The differences are due to the fact that the EGM suffers from truncation and divergence errors in addition to the topographic bias in Stokes’ original formula.
Dust-ion-acoustic shock waves in a two-electron-temperature dusty plasma

Abstract Properties of dust-ion-acoustic shock waves (DIASWs) in an unmagnetized dusty plasma (containing inertial ions, Maxwellian electrons with two distinctive temperatures and negatively charged immobile dust) are investigated. The hydrodynamic equation for inertial ions has been used to derive the Burgers equation. The effects of two-electron-temperature and ion kinematic viscosity, which are found to significantly modify the basic features of the DIASWs, are discussed.
Binomial and trinomial trees versus Bjerksund and Stensland approximations for american options pricing

Numerical methods like binomial and trinomial trees and finite difference methods can be used to price a wide range of options contracts for which there are no known analytical solutions. American options are the most famous of that kind of options. Besides numerical methods, American options can be valued with the approximation formulas. The authors of the most famous approximation formulas are Bjerksund and Stensland ([3] and [4]). Comparative analysis of numerical methods for American option pricing and Bjerksund and Stensland formulas for approximation values of American options is carried out in this paper. When the value of American option is approximated by Bjerksund-Stensland analytical formulas, the computer time spent to carry out that calculation is very short (it can be considered as instantaneous). The computer time spent using numerical methods can vary from less than one second to several minutes or even hours. It is clear that more often increasing the time of computer calculation greater precision is obtained. However to be able to conduct a comparative analysis of numerical methods (binomial trees, trinomial trees) and Bjerksund and Stensland formulas for approximation values of American options, we will limit computer calculation time of numerical method to less than one second, which nearly corresponds to the calculation time of the Bjerksund and Stensland approximation. Therefore, we ask the question: Which method will be most accurate at nearly the same computer calculation time?
New Sharp Lower Bounds for the First Zagreb Index

The first Zagreb index M1(G) defined as the sum of squares of the degrees of the vertices. In this paper we compare and analyze numerous lower bounds for the first Zagreb index involving the number of vertices, the number of edges and the maximum and minimum vertex degree. In addition, we propose new lower bound and correct the equality case in (E.I. Milovanovic and I. ˇ Z. Milovanovic, Sharp Bounds for the first Zagreb index and first Zagreb coindex, Miskolc Mathematical notes, 16 (2015) 1017-1024).
TWO DIMENSIONAL SUB-DECOMPOSITION METHOD FOR POINT MULTIPLICATION ON ELLIPTIC CURVES

In this paper, we developed a method for accelerating multiplication operation on classes of elliptic curve that are efficiently-computable based on the GLV method of Gallant, Lambert and Vanstone that was initially proposed in the year 2001, which uses a fast endomorphisms ψ with minimal polynomial s rX X + + 2 to compute the multiple kP of a point P of order n lying on an elliptic curve. In the GLV method, the value k is decomposed into the values 1 k and . 2 k Both values are expected to be bounded by . n ± However, when both values, or one of the values is not within the range, then, in the GLV method, one needs to choose a new k and obtain a new generator to generate a new decomposition values that fall within the range. Even so, this new chosen k does not guarantee the decomposition values would fall within the range. Finding k with decomposition values that fall within the range will usually acquires big loops and more computation complexity. In this work, we propose a new method called the integer sub-decomposition (ISD) to complement the GLV method and
Simulation of Breaking Waves in the Surf Zone using a Navier-Stokes Solver

A Navier-Stokes solver with a k — w turbulence model is used for simulating spilling breakers in the surf zone. Two different numerical techniques for describing the free surface are investigated. First, a surface tracking approach is applied, using a height function description of the free surface and a time-depending curvilinear grid being adapted to the free surface at every time step. Secondly, a VOF method is employed where a scalar field is introduced to divide grid cells into fluid and void cells and the grid is fixed in time. The time evolution of the turbulence model quantities being subject to the straining motion of wave orbital motion is analysed, and an unstable parameter region is found. After having removed the instability by an ad-hoc modification of the turbulence model, the VOF-method shows good agreement with measurements with respect to the elevation statistics and flow kinematics, while agreement of the turbulence intensities with measured values is reasonable. The present moving grid approach does not describe correctly the flow kinematics in spilling wave breaking, and consequently this approach fails in predicting wave elevation profiles on-shore of the breaking point.
Theoretical Study on the Z Curves

There is a corresponding relation between a mapping point (D lattice point) in the RT (regular tetrahedron) and a DNA sequence (Zhang, 1991). A set of the D lattice points constructs a lattice (D lattice). The D lattice is proved to be. a face-centered cubic lattice. The space distribution law of D lattice point is revealed. Based on the results the properties of Z curve (a intuitive tool for visualizing and analyzing the DNA sequence proposed by Zhang Zhang) can be obtained naturally. Z curve bundle has symmetry of S4 group. Z curves constrain themselves within the inscribed sphere of the biggest regular tetrahedron etc.
Gain enhancement of a circularly polarized equilateral-triangular microstrip antenna with a slotted ground plane

A novel circular polarization (CP) design of a single-feed equilateral-triangular microstrip antenna with enhanced antenna gain is presented. This CP design is obtained by placing three triangular slots at properly locations below the equilateral-triangular radiating patch in the ground plane. By adjusting one of the triangular slot's side lengths slightly longer than that of the others, two orthogonal near-degenerate resonant modes for CP radiation can be excited. Measured antenna gain in this study can easily be increased by 3.3 dBi (5.1 dBi versus 1.8 dBi), as compared to the same height, substrate material, operating frequency and radiating patch shape of a regular equilateral-triangular microstrip antenna without triangular slots in the ground plane. Prototype antenna is fabricated for experimental evaluation. Simulated and measured results are presented.
Semi-parametric frailty model for clustered interval-censored data

Abstract: The shared frailty model is a popular tool to analyze correlated right-censored time-to-event data. In the shared frailty model, the latent frailty is assumed to be shared by the members of a cluster and is assigned a parametric distribution, typically a gamma distribution due to its conjugacy. In the case of interval-censored time-to-event data, the inclusion of frailties results in complicated intractable likelihoods. Here, we propose a flexible frailty model for analyzing such data by assuming a smooth semi-parametric form for the conditional time-to-event distribution and a parametric or a flexible form for the frailty distribution. The results of a simulation study suggest that the estimation of regression parameters is robust to misspecification of the frailty distribution (even when the frailty distribution is multimodal or skewed). Given sufficiently large sample sizes and number of clusters, the flexible approach produces smooth and accurate posterior estimates for the baseline survival function and for the frailty density, and it can correctly detect and identify unusual frailty density forms. The methodology is illustrated using dental data from the Signal Tandmobiel ® study.
Cluster Head Selection using Vertex Cover Algorithm

— The lifetime of wireless sensor network can be prolonged by the method of Clustering. Clustering is nothing but grouping sensor nodes into many clusters and identifying a coordinator node to regulate the activities of remaining sensor nodes. We call this coordinator node as Cluster heads. There are various techniques for selecting cluster heads based on sensor node attributes. The main responsibility of cluster-head nodes is to receive and aggregate data from the sensor nodes. Due to this, cluster head dissipates more energy when compared to sensor nodes. Moreover, cluster-head nodes consume more energy as they relay data of the sensor nodes that are far away from the base station which in turn decreases network lifetime. In this paper, a different approach has been used to cluster the sensor network. We apply Vertex Cover Algorithm to find the cluster heads. The vertex cover set obtained from Vertex Cover Algorithm are made as cluster heads. A heuristics algorithm was developed to further optimize the cluster heads. Once after we find the cluster heads we apply Prim’s algorithm to find minimum spanning tree. Finally we find a traversal order for these cluster heads for the mobile sink to visit by using Depth First Search algorithm. The simulation results show that the vertex cover algorithm resulted optimum number of cluster heads and analyzed for various parameters like throughput, network lifetime, pdf and residual energy .
Nonsingular fast terminal sliding-mode guidance with intercept angle constraint

A nonsingular, essentially continuous and finite-time convergent intercept angle control guidance law for engaging stationary, constant-speed and maneuvering targets is developed by using advanced terminal sliding-mode control schemes and Lyapunov stability theory. In order to achieve the specified intercept angle in finite-time without singularity, the nonsingular fast terminal slidingmode control algorithm is employed to construct the sliding surface. The fast terminal sliding-mode control technique is employed to establish the reaching law, so the system trajectory converges quickly from any initial state to the switching surface in the entire reaching phase and yields essentially continuous guidance law. Due to its inherent singularity-free attribute, continuity and faster convergence rate, no approximation is necessary in the execution of the proposed guidance law, so higher tracking precision of the desired intercept angle in a shorter time interval with smoother guidance command can be guaranteed compared with conventional terminal sliding-mode guidance law. A large number of numerical simulation examples are implemented to justify the effectiveness of the proposed guidance law.
Approximating natural connectivity of scale-free networks based on largest eigenvalue

It has been recently proposed that natural connectivity can be used to efficiently characterize the robustness of complex networks. The natural connectivity has an intuitive physical meaning and a simple mathematical formulation, which corresponds to an average eigenvalue calculated from the graph spectrum. However, as a network model close to the real-world system that widely exists, the scale-free network is found difficult to obtain its spectrum analytically. In this article, we investigate the approximation of natural connectivity based on the largest eigenvalue in both random and correlated scale-free networks. It is demonstrated that the natural connectivity of scale-free networks can be dominated by the largest eigenvalue, which can be expressed asymptotically and analytically to approximate natural connectivity with small errors. Then we show that the natural connectivity of random scale-free networks increases linearly with the average degree given the scaling exponent and decreases monotonically with the scaling exponent given the average degree. Moreover, it is found that, given the degree distribution, the more assortative a scale-free network is, the more robust it is. Experiments in real networks validate our methods and results.
Robust H-infinity control for uncertain 2-D singular Roesser models

This paper discusses the problem of robust H-infinity control for linear discrete time 2-D singular Roesser models (2-D SRM) with parameter uncertainty. The purpose is the design of state feedback controllers such that the resulting closed-loop system is acceptable, jump modes free, stable and satisfies a specified H-infinity performance level for all admissible uncertainties. An equivalent form of bounded realness of 2-D SRM is established in terms of linear matrix inequalities. Based on this, a sufficient condition for the solvability of the robust H-infinity control problem for linear discrete time uncertain 2-D SRM is then presented, and a desired state feedback controller can also be derived by solving a set of matrix inequalities. Finally, numerical example is provided to demonstrate the applicability of the proposed approach.
Scalar FDTD Analysis of Fresnel Zone-Plate Lenses

We analyze and design Fresnel zone-plate lenses by the scalar finite-difference time-domain (FDTD) method. The optical element could be utilized to replace conventional transform lenses in integrated-optic RF spectrum analyzers to focus an optical beam onto a photodetector array. Our simulation shows that the realistic focal length of the Fresnel lens is shorter than the theoretical value and dependent on the structural parameters.
Multisection optical parametric–Raman hybrid amplifier for terabit+ WDM systems

We demonstrate flat-gain wide bandwidth Raman-Fiber optical parametric hybrid amplifier for wavelength division multiplexed systems (WDM). Raman-parametric amplifiers exploit system non-linearities which are otherwise inevitable in evolving WDM systems. Investigations show that the pumps of parametric amplifier and Raman amplifier can be carefully selected at wavelengths, to give gain over complementary bandwidth regions, resulting in wide bandwidth with low gain ripple. Results show a flat gain of 24.3 dB for 12 × 100 Gbps WDM system with lowest ripple of less than 2.78 dB reported over 220 nm bandwidth for Raman-FOPA hybrid.