The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The design of multi-sampling period delay stabilizing controllers is considered for nonlinear sampled-data systems. The Euler model of nonlinear sampled-data systems is used to estimate the current state from multi-sampling period delay state and the desired controllers are constructed by combining the estimated state and the stabilizing controllers without delay. A numerical example is also given...
Fast and stable processing optimized for given simulation problem is essential for any modern simulator. It is characteristic for electronic circuit analysis that complexity of simulation is given by circuit size and used device models. Implementation of electronic device models in program SPICE uses traditional functional paradigm allowing fast computation but further modification of model can be...
A new toolbox for the simulation of acoustic wave fields is described. The toolbox, USim, is designed to make an acoustic modeling of ultrasound propagation in tissues reliable and fast. The forward simulations of the wave field are based on the Born-Neumann single scattering approximation of the solution of Sturm-Liouville equation. The toolbox allows simulating the ultrasound wave propagation in...
This paper presents a metamodel based on the sparse polynomial chaos approach, well adapted to high-dimensional uncertainty quantification problems, applied for the analysis of crosstalk in printed circuit board microstrip traces. It enables to estimate, with a low computational cost compared to Monte Carlo (MC) simulation, statistical quantities and provides a sensitivity analysis of the crosstalk...
The paper presents the possibilities, advantages and author's experience in application of electromagnetic field modeling in the teaching process in the study of electrical engineering specialties. The aim is to demonstrate how on the basis of computer simulations, the students can examine the field distribution for different geometry and operating conditions of given device. In addition, students...
In this work, an artificial intelligent approach to predicting crude oil price is presented. Decision Trees (DT) are utilized in the modeling and prediction of crude oil from a dataset covering 24 years. The input attributes to the decision tree are key economic indicators that are believed to affect crude oil price and the system has as it's output the numerical value of the predicted crude oil price...
Many applications of the Preisach model need a lot of repeated calculations. Therefore, the algorithm speed is an important program parameter. Two ways of calculation acceleration are considered: improvement of the algorithm and reduction of the Preisach matrix using its specific feature. In the first case, which is universal, the calculation time can decrease about 500 times. In the second case the...
Electrochemotherapy (ECT) is a local therapy used in clinical practice. This therapy improves the drug uptake of tumor tissue since it permeabilizes cell membranes by means of an electric field. Nevertheless, the tumor tissue could be characterized by inhomogeneity areas and needle electrodes could be implanted in tissue with different values of conductivity. The authors investigate by means of numerical...
The multi-agent monitoring (surveillance) problem over graphs is to find trajectories of multiple agents that travel each node as evenly as possible. This problem has several applications such as city safety management and disaster rescue. in our previously proposed method, the finite-time optimal surveillance problem was formulated, and was reduced to a mixed integer linear programming (MILP) problem...
This paper discusses numerical experiments by the fast computation method of hydraulic robot dynamics. This paper shows a new proposed model with a special nondmensional representation which is based on the proposed model. The four methods are compared with each other with respect to computation time.
This paper studies a statistical dataset describing submissions to the municipalities in Czech Republic. The dataset contains five submission-specific subgroups as interdependent time series. The research purpose is to build a suitable model for description of the process. In this work, the autoregressive and vector autoregressive models are used for fitting the data. The obtained results proved to...
The paper considers the constructing issue of ontology for the GMDH-based inductive modeling domain. It examines the main components of the GMDH algorithms in terms of their synthesis for designing the domain ontology. Such ontology significantly expands opportunities for construction of inductive modeling tools for model building and forecast of complex processes of different nature.
Numerical modeling of harmonic acoustic field produced by a common commercial loudspeaker is carried out The goal is to obtain the directional characteristic of the device. The continuous mathematical model is derived from the physical laws and is considered for the ideal ñuids with properties of a perfect continuum. The model of the loudspeaker in the axial symmetry (2D) is described by the Helmholtz...
The normal way to simulate SAW resonators is to use a phenomenological model like coupling of modes or P matrix. Numerical methods can also be used but are very costly in computing resources. Models based on combination of finite elements and boundary elements models are a possible approach but are mostly limited two dimensional models. Also, they are less versatile than models using only finite elements...
Computer simulation of temperature field control system of induction heating object, for example for prediction purposes, encounter difficulties associated with the system nonlinearity on the one hand and time of calculation on the other hand, when numerical analysis of magneto-thermal field, especially 3D, is used. The paper presents the methodology of fast simulation the temperature field of complex...
Renewable source of energy has lots of relevance today. Solar energy is available in abundance and it is preferable because it is pollution free and there is no cost attached to it. However solar energy is not reliable in nature because its production depends upon weather condition, time of the day and other local parameters. If a consumer have accurate prediction of solar power, the trade-off with...
Delphi-like Boundary Condition Independent (BCI) Compact Thermal Models (CTMs) are the standard for modelling single die packages. However their extraction, particularly in the transient case, will be time consuming due to complex numerical simulations for a large number of external conditions. Lately, new approaches to extract a BCI Dynamical CTM (DCTM), based on Model Order Reduction (MOR) have...
The goal of this paper is to measure the parallel performances using OpenMP for surface gravity waves simulation. Here, the non-hydrostatic model is used to describe the fluid flows. The discretization of pressure, horizontal and vertical velocity are given in staggered grids by Arakawa grids. The numerical simulation of gravity waves with wavelength 100 meters is elaborated. The results are shown...
This paper provides a detailed description of developing a power hardware-in-loop (P-HIL) testbed for the simulation and testing of grid-connected battery systems. The test allows not only analyzing the impact of operating grid-tied batteries on the power grid, but also analyzing less addressed battery operational issues, such as temperature, balance, age, and premature capacity loss, as well as the...
This paper proposes a new algorithm for image inpainting algorithm based on the matrix rank minimization with nonlinear mapping function. Assuming that each intensity value of a nonlinear mapped image can be modeled by the autoregressive (AR) model, the image inpainting problem is formulated as a kind of the matrix rank minimization problem, and this paper modifies the iterative partial matrix shrinkage...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.