SCALING OF SENSATIONS DURING THE PERFORMANCE OF VISUAL TASKS IN RELATION TO HUMAN CENTRIC LIGHTING

2021 ◽  
Author(s):  
Georgy Boos ◽  
Vladimir Budak ◽  
Ekaterina Ilyina ◽  
Tatyana Meshkova
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Angular Distribution ◽  
Physiological Model ◽  
Lighting Design ◽  
New Approach ◽  
Visual Tasks ◽  
Uniform Background ◽  
New Criterion

Currently, programs for lighting calculation based on computer graphics (CG) allows us to move to a fundamentally new approach to a assessing the quality of lighting. A designing based on illuminance can be complement with designing based on synthetic images or on lighting design. Modern CG programs can calculate the spatial-angular distribution of luminance (SADL). However, to make the assessment of the quality of lighting using SADL a new criterion is needed. This paper considers constructing a physiological model of the visual perception scale based on experimental data and on neural network for simple scene as light source viewed on a uniform background with different luminance levels. Scale based on threshold contrasts of luminance for each sensation can be a fundament of new criterion. The article offers the method of construction the map for each sensation using the example of «discomfort» and «unpleasant» maps that can easily applied in programs.

scholarly journals Scaling of Discomfort Sensations in the Conditions of Performing Office Visual Tasks

2021 ◽  
Author(s):  
George Boos ◽  
Vladimir Budak ◽  
Ekaterina Ilyina ◽  
Tatyana Meshkova
Keyword(s):  
Physiological Model ◽  
Lighting Design ◽  
Field Of View ◽  
Distance Threshold ◽  
New Approach ◽  
Visual Tasks ◽  
Uniform Background ◽  
New Criterion ◽  
Work Done

Currently, computer graphics programs (CG) as a tool for designing lighting installations allows us to move to a fundamentally new approach to assessing the quality of lighting: to move away from designing based on illuminance values to designing based on synthetic images or lighting design. Modern CG programs allow us to calculate the spatial-angular distribution of luminance (SADL). Still, some criterion is needed for the assessment, which will allow us to uniquely determine the quality of lighting in terms of luminance distribution. In this paper, we consider constructing a physiological model of the visual sense scale for assessing the quality of lighting according to SADL based on an experiment to assess visual sense from the luminance of a light source in the field of view on a uniform background with different luminance. As a result of the work done, it is proposed to use a scale of sensations in the form of a certain space. The axis of space is the threshold contrast for the resulting sense of discomfort, depending on the observation conditions. All other sensations are separated from the axis at some distance. Threshold contrasts, at which visual sensations arise within the framework of the proposed scale, can be used in the future to assess the storm in the lighting scene using a new criterion and will allow analysing the quality of lighting using CG methods.

scholarly journals Evaluation of the quality of illumination based on the luminance photo and the visualization of the 3D scene

2019 ◽  
Author(s):  
Владимир Будак ◽  
Vladimir Budak ◽  
Виктор Желтов ◽  
Viktor Zheltov ◽  
Виктор Чембаев ◽  
...  
Keyword(s):  
Angular Distribution ◽  
3D Model ◽  
Quality Criterion ◽  
Criterion A ◽  
3D Scene ◽  
New Criterion

The article proposes a new criterion for lighting quality that extends the existing UGR. The proposed criterion is tested in an experiment on real lighting installations - Moscow metro stations. At metro stations, the spatial-angular distribution of luminance is measured using a camera that shoots in RAW format and a luminance meter. A luminance meter is used to normalize the image to absolute luminance values. In the experiment, observers evaluate the quality of station lighting and compare the results with the calculation of a new criterion. A high correlation of the results obtained by observers and calculated using the new quality criterion is shown. For a few stations, a 3D model is built, and the criterion is calculated according to the model. The article concludes that the quality criterion is applicable to the assessment of lighting quality. Moreover, the proposed criterion can be considered an extension of the existing UGR.

scholarly journals The application of the artificial neural network in analysing the spread quality

2018 ◽  
Vol 226 ◽  
pp. 04042
Author(s):  
Marko Petkovic ◽  
Marija Blagojevic ◽  
Vladimir Mladenovic
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Food Processing ◽  
New Approach ◽  
Confectionery Products ◽  
Speed Up ◽  
Artificial Neural

In this paper, we introduce a new approach in food processing using an artificial intelligence. The main focus is simulation of production of spreads and chocolate as representative confectionery products. This approach aids to speed up, model, optimize, and predict the parameters of food processing trying to increase quality of final products. An artificial intelligence is used in field of neural networks and methods of decisions.

scholarly journals Lighting Quality Criteria Based on the Luminance Spatial-Angular Distribution

2021 ◽  
Author(s):  
George Boos ◽  
Vladimir Budak ◽  
Tatyana Meshkova ◽  
Victor Zheltov
Keyword(s):  
Quality Criteria ◽  
Arbitrary Point ◽  
Brightness Distribution ◽  
Lighting Design ◽  
Good Correspondence ◽  
The Monte Carlo Method ◽  
Scale Experiment ◽  
New Criterion ◽  
Mathematical Foundations

The article is devoted to assessing lighting quality based on lighting engineering design's spatial-angular brightness distribution (LSAD). The main problems of modern lighting design related to the modeling of scenes based on the emissivity equation and restrictions on the use, in this regard, as the main criterion for the lighting quality of Unified Glare Rating (UGR), are considered. The mathematical foundations of the use of LSAD in the practice of lighting engineering design are proposed. The integral equation LSAD is obtained, which allows modeling the brightness at an arbitrary point of the scene volume. A method for solving the formulated equation based on double local estimates of the Monte Carlo method is proposed. The formulated algorithm for calculating LSAD is view-independent: LSAD visualizes the lighting scene at all fixed points. Methods for storing the calculated LSAD are proposed. Based on the LSAD, a new criterion for lighting quality is formulated, which was experimentally tested in a full-scale experiment to evaluate the lighting of Moscow Metro stations. In the experiment, the proposed criterion and UGR were compared. One calculated the quality criteria by the station's photos, and their correlation with observers' assessment was found. Computer models of stations were created, in which quality criteria were also calculated from the experiment viewpoints – obtained good correspondence of the calculations with the estimates of observers.

scholarly journals SPATIAL-ANGULAR DISTRIBUTION OF LUMINANCE IN LIGHTING DESIGN OF LIGHTING SCENES

2020 ◽  
Vol 2020 (3) ◽  
pp. 4-11
Author(s):  
Viktor Zheltov
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Continuous Distribution ◽  
Lighting Design ◽  
The Monte Carlo Method ◽  
New Criterion

The article deals with modeling the spatial-angular distribution of luminance (SADL) in lighting scenes based on the solution of the global lighting equation by local estimates of the Monte Carlo method. Based on the SADL, a new criterion for lighting quality is formulated, which, in contrast to the generally accepted UGR to date, does not take into account the point glare sources, but directly the continuous distribution of luminance. The proposed criterion is applied in the analysis of lighting at some stations of the Moscow metro, which shows its correlation with the feelings of real observers.

scholarly journals Evaluation of the properties of anti-corrosion coatings of steel structures

2020 ◽  
pp. 24-29
Author(s):  
V. V. Deryushev ◽  
◽  
M. M. Zaytseva ◽  
E. E. Kosenko ◽  
S. K. Mamberger ◽  
...  
Keyword(s):  
Experimental Data ◽  
Evaluation Criteria ◽  
Steel Structures ◽  
Fuzzy Information ◽  
Problem Statement ◽  
New Approach ◽  
Metal Structures ◽  
Anticorrosive Coatings ◽  
Original Approach

Introduction. The properties of an object with metal structures and the safety of its use depend on the environmental impact. This explains the urgency of the problem of universality of anticorrosive coatings. Problem Statement. The main goal of the study is to find a new approach to choosing the most rational means of protecting metal structures from corrosion based on experimental data. This takes into account the possibility of obtaining fuzzy information on various evaluation criteria. Theoretical Part. The main objectives of the study: the formation and justification of necessity of application of concepts (axioms) of sufficiency; analysis of the quality of anti-corrosion materials; constructing a measure for assessing (analyzing) the quality of facilities; evaluation (analysis) of quality of corrosion resistance in accordance with the concept of sufficiency. Conclusion. The original approach to the problem of choosing the most rational means of protecting metal structures from corrosion is based on experimental data. The considered general methodology can be used for selecting criteria for evaluating the safety of metal structures, since it is based on proven decision-making methods.

Experimental Study of the New Criterion of Lighting Quality Based on Analysis of Luminance Distribution at Moscow Metro Stations

2020 ◽  
pp. 98-105 ◽  
Author(s):  
Vladimir P. Budak ◽  
Viсtor S. Zheltov ◽  
Tatyana V. Meshkova ◽  
Victor D. Chembaev
Keyword(s):  
Experimental Study ◽  
Angular Distribution ◽  
Luminance Distribution ◽  
New Criterion

The article presents the experiment in studying a new criterion of lighting quality based on spatial and angular distribution of luminance proposed by the Lighting Engineering sub-department of NIU MPEI. The experiment studies correlation between expert evaluations of lighting quality at 21 stations of the Moscow Metro with analysis based on the criterion of quality of RAW-format luminance photographs of the stations made by means of a camera and adjusted according to luminance measured by a luminance meter. The obtained photos were processed using the proposed criterion. The article presents design of station models and calculations made by means of DIALux software and the programme developed (as part of the work) on the basis of local evaluations. It is demonstrated that the proposed criterion allows us to take account of extended veiling reflections and may be considered as enhancement of the unified glare rating UGR.

Predicting Single Observer’s Votes from Objective Measures using Neural Networks

2020 ◽  
Vol 2020 (11) ◽  
pp. 130-1-130-8
Author(s):  
Lohic Fotio Tiotsop ◽  
Tomas Mizdos ◽  
Miroslav Uhrina ◽  
Peter Pocta ◽  
Marcus Barkowsky ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Numerical Experiments ◽  
Visual Quality ◽  
Objective Measures ◽  
New Approach ◽  
Opinion Score ◽  
The Mean ◽  
Insight Into

The last decades witnessed an increasing number of works aiming at proposing objective measures for media quality assessment, i.e. determining an estimation of the mean opinion score (MOS) of human observers. In this contribution, we investigate a possibility of modeling and predicting single observer’s opinion scores rather than the MOS. More precisely, we attempt to approximate the choice of one single observer by designing a neural network (NN) that is expected to mimic that observer behavior in terms of visual quality perception. Once such NNs (one for each observer) are trained they can be looked at as “virtual observers” as they take as an input information about a sequence and they output the score that the related observer would have given after watching that sequence. This new approach allows to automatically get different opinions regarding the perceived visual quality of a sequence whose quality is under investigation and thus estimate not only the MOS but also a number of other statistical indexes such as, for instance, the standard deviation of the opinions. Large numerical experiments are performed to provide further insight into a suitability of the approach.

THE QUALITY OF LIGHTING IN THE MODELLING OF LIGHTING INSTALLATIONS IN COMPUTER GRAPHICS PROGRAMS

2020 ◽  
Vol 2020 (4) ◽  
pp. 15-24
Author(s):  
Vladimir Budak ◽  
Tat'yana Meshkova
Keyword(s):  
Angular Distribution ◽  
Computer Graphics ◽  
Quality Criterion ◽  
Visual Task ◽  
New Approach ◽  
Laboratory Conditions

The article formulates and proves a new approach to assessing the quality of lighting based on the luminance spatial-angular distribution (LSAD). Several aspects of assessing the quality of lighting are described and the main one is selected for further research. Visibility is considered as the first step to the formulation of the quality criterion. The validity of the new approach is proved in laboratory conditions on the example of carrying out a standard visual task and in real conditions in the Moscow metro.

A fuzzy neural network approach for modeling the growth kinetics of FeB and Fe2B layers during the boronizing process

2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Fuzzy Neural Network ◽  
Treatment Time ◽  
Calculation Model ◽  
Average Error ◽  
Network Approach ◽  
Neural Network Approach ◽  
Fuzzy Neural ◽  
Kinetics Of

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.

Sign in / Sign up

Export Citation Format

Share Document