simulated object
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2021 ◽  
Author(s):  
Ramaz Shamugia

This article is dedicated to the development of a software model with a Graphical User Interface (GUI) to simulate the process of ensuring information and cyber security of information systems (IS) of Critical Infrastructure objects (CI) based on the analytical model developed by the author of this article. The specified software model with a GUI makes it possible, using the controls located on the main panel, to set the input parameters of the simulated object and observe its output characteristics using appropriate visualization elements such as special windows for displaying calculated numerical values of the main characteristics of the systems under study.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Heiko Hecht ◽  
Esther Brendel ◽  
Marlene Wessels ◽  
Christoph Bernhard

AbstractOften, we have to rely on limited information when judging time-to-contact (TTC), as for example, when driving in foul weather, or in situations where we would need reading glasses but do not have them handy. However, most existing studies on the ability to judge TTC have worked with optimal visual stimuli. In a prediction motion task, we explored to what extent TTC estimation is affected by visual stimulus degradation. A simple computer-simulated object approached the observer at constant speed either with clear or impaired vision. It was occluded after 1 or 1.5 s. The observers extrapolated the object’s motion and pressed a button when they thought the object would have collided with them. We found that dioptric blur and simulated snowfall shortened TTC-estimates. Contrast reduction produced by a virtual semi-transparent mask lengthened TTC estimates, which could be the result of distance overestimation or speed underestimation induced by the lower contrast or the increased luminance of the mask. We additionally explored the potential influence of arousal and valence, although they played a minor role for basic TTC estimation. Our findings suggest that vision impairments have adverse effects on TTC estimation, depending on the specific type of degradation and the changes of the visual environmental cues which they cause.


2021 ◽  
Author(s):  
Yu Wai Chau

In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.


2021 ◽  
Author(s):  
Yu Wai Chau

In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.


2021 ◽  
pp. 49-53
Author(s):  
IGOR NIKOLAEVICH VERGUN ◽  
◽  
SERGEI SERGEEVICH SPICIN ◽  

The article provides historical information about the simulated object and considers the creation of a computer model of the Shadrinsky Cathedral in free computer graphics software with a demonstration of intermediate stages.


2020 ◽  
Vol 72 (4) ◽  
pp. 180-187
Author(s):  
D.N. Issabayeva ◽  
◽  
G.A. Abdulkarimova ◽  

The article describes an approach to computer modeling of a neural network. To simulate a neural network, it is necessary to collect a large amount of data about the simulated object, identify its features, create an algorithm that is a set of operations performed on a computer. The function of neural networks is based on classification (sorting), prediction and recognition of objects or events. Modeling neural networks can be carried out by collecting data about an object, highlighting its distinctive features and creating an algorithm using the example of Iris-Fisher flowers. The article also includes a description of the execution of a neural network design task and the use of machine learning algorithms for data mining in an MS Excel spreadsheet processor for teaching lessons.


Author(s):  
Sergei Kultyshev ◽  
◽  
Liudmila Kultysheva ◽  

A theorem and an algorithm for approximate identification of parameters and immeasurable external influences for mathematical models of real objects are obtained. This identification problem is one of key importance for design the mathematical models in real mathematics applications.


Author(s):  
Aleksey Shkolin

This work is devoted to a method for numerically determining the frequency characteristics when modeling nonlinear dynamic objects, in particular during behavioral modeling of pulse converter circuits. The analysis of existing methods for modeling the frequency characteristics of pulse converters is carried out. A technique is given for reducing the amount of calculations when calculating the frequency characteristics of models of nonlinear dynamic pulse systems in the field of their stability based on a calculation in the time domain. This allows one to take into account the essential features of the studied nonlinear objects, in contrast to the linearized models applicable only to the small signal mode. The method is based on the use of correlation analysis when finding the steady-state stationary motion of the simulated object in the time domain while varying the frequency of the harmonic input signal. The results of modeling using the proposed approach are presented.


2019 ◽  
Vol 487 (4) ◽  
pp. 5692-5710 ◽  
Author(s):  
G Iorio ◽  
C Nipoti ◽  
G Battaglia ◽  
A Sollima

AbstractDwarf spheroidal galaxies (dSphs) appear to be some of the most dark matter (DM)-dominated objects in the Universe. Their dynamical masses are commonly derived using the kinematics of stars under the assumption of equilibrium. However, these objects are satellites of massive galaxies (e.g. the Milky Way) and thus can be influenced by their tidal fields. We investigate the implication of the assumption of equilibrium focusing on the Sculptor dSph by means of ad hoc N-body simulations tuned to reproduce the observed properties of Sculptor following the evolution along some observationally motivated orbits in the Milky Way gravitational field. For this purpose, we used state-of-the-art spectroscopic and photometric samples of Sculptor’s stars. We found that the stellar component of the simulated object is not directly influenced by the tidal field, while ${\approx } 30\!-\!60{{\ \rm per\ cent}}$ of the mass of the more diffuse DM halo is stripped. We conclude that, considering the most recent estimate of the Sculptor proper motion, the system is not affected by the tides and the stellar kinematics represents a robust tracer of the internal dynamics. In the simulations that match the observed properties of Sculptor, the present-day dark-to-luminous mass ratio is ≈6 within the stellar half-light radius (≈0.3 kpc) and >50 within the maximum radius of the analysed data set (≈1.5○, ≈2 kpc).


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