Computer-aided processing of the oculomotor signal

Specific features of oculomotor signal and availability of high-end measurement equipment, as well as using modern IT techniques and tools creates the possibility of automatic processing of this type of data and extensive use of developed algorithms. Analysis of such data is a tedious and complex process so computer processing of the oculomotor signal makes the process less time-consuming, more precise and effective. The article discusses data filtering and removing noise, detection of saccades and fixations and determination of characteristic oculomotor parameters and then analysis using neural networks (unidirectional, two-layer neural network with backpropagation learning method and Kohonen’s self-organising network) and application supporting the analysis process. The proposed test method allows registration of a view path followed by its automatic analysis to obtain objective parameters characterising the movement of the eyeball. The motor apparatus of the eyeball, due to its high sensitivity to changes in the body, can serve as a measure of general health.

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Gender determination of caucasoid hair using image analysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100146928 ◽

1993 ◽

Vol 51 ◽

pp. 216-217

Author(s):

T.B. Ball ◽

W.M. Hess

Keyword(s):

Image Analysis ◽

Cross Sections ◽

Scalp Hair ◽

The Body ◽

Equivalent Diameter ◽

Cross Sectional ◽

Hair Samples ◽

Length Width ◽

Morphological Differences

It has been demonstrated that cross sections of bundles of hair can be effectively studied using image analysis. These studies can help to elucidate morphological differences of hair from one region of the body to another. The purpose of the present investigation was to use image analysis to determine whether morphological differences could be demonstrated between male and female human Caucasian terminal scalp hair.Hair samples were taken from the back of the head from 18 caucasoid males and 13 caucasoid females (Figs. 1-2). Bundles of 50 hairs were processed for cross-sectional examination and then analyzed using Prism Image Analysis software on a Macintosh llci computer. Twenty morphological parameters of size and shape were evaluated for each hair cross-section. The size parameters evaluated were area, convex area, perimeter, convex perimeter, length, breadth, fiber length, width, equivalent diameter, and inscribed radius. The shape parameters considered were formfactor, roundness, convexity, solidity, compactness, aspect ratio, elongation, curl, and fractal dimension.

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Tire Treadwear — A Comprehensive Evaluation of the Factors: Generic Type, Aspect Ratio, Tread Pattern, and Tread Composition Part I: Introduction and Details on the Organization of the Program

Tire Science and Technology ◽

10.2346/1.2148774 ◽

1986 ◽

Vol 14 (4) ◽

pp. 201-218 ◽

Cited By ~ 3

Author(s):

A. G. Veith

Keyword(s):

Aspect Ratio ◽

Comprehensive Evaluation ◽

Test Method ◽

Interactive Effects ◽

Data Analyses ◽

Main Effect ◽

Systematic Determination ◽

Relationship Of ◽

The Relationship

Abstract This four-part series of papers addresses the problem of systematic determination of the influence of several tire factors on tire treadwear. Both the main effect of each factor and some of their interactive effects are included. The program was also structured to evaluate the influence of some external-to-tire conditions on the relationship of tire factors to treadwear. Part I describes the experimental design used to evaluate the effects on treadwear of generic tire type, aspect ratio, tread pattern (groove or void level), type of pattern (straight rib or block), and tread compound. Construction procedures and precautions used to obtain a valid and functional test method are included. Two guiding principles to be used in the data analyses of Parts II and III are discussed. These are the fractional groove and void concept, to characterize tread pattern geometry, and a demonstration of the equivalence of wear rate for identical compounds on whole tread or multi-section tread tires.

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Atomic absorption determination of Hg (II), Cd (II), and As (III) in natural and waste water after preliminary group preconcentration

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2019-85-2-12-16 ◽

2019 ◽

Vol 85 (2) ◽

pp. 12-16

Author(s):

I. V. Saunina ◽

E. N. Gribanov ◽

E. R. Oskotskaya

Keyword(s):

Waste Water ◽

Atomic Absorption ◽

High Sensitivity ◽

Distribution Coefficients ◽

Neutral Medium ◽

Atomic Absorption Determination ◽

Absorption Determination ◽

Relative Standard ◽

Preliminary Group

The sorption of Hg (II), Cd (II), and As (III) by natural aluminosilicate is studied. It is shown that the mineral absorbs those toxicants in a rather wide pH range, quantitative extraction of analytes being achieved in a neutral or close to neutral medium (pH values range within 7.0 - 8.0; 6.3 - 7.5; 7.4 - 8.5 for Hg (II), As (III), and Cd (II), respectively). The effect of the time of phase contact on the degree of extraction of elements is shown. The sorption capacity of the mineral in optimal conditions of the medium acidity (0.06 mmol/g for mercury, 0.31 mmol/g for cadmium, and 0.52 mmol/g for arsenic) is determined. The distribution coefficients attain values of aboutnX 103-nX 104. A new combined method for determination of Hg (II), Cd (II), and As (III) in natural and waste water is developed and tested. The method consists in a preliminary group sorption concentration of the analytes by aluminosilicate, desorption of the analytes from the surface of the mineral and their subsequent atomic absorption determination. The correctness of the method is verified in analysis of spiked samples. The method is easy to use and exhibits high sensitivity, reproducibility and accuracy of analyte determination. The relative standard deviation does not exceed 0.13. Economic availability and possibility of using domestic sorption materials are the important advantages of the proposed procedure which can be used in the practice of laboratories monitoring the quality and safety of environmental objects.

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