Software Tool for Determining of the Keystroke Dynamics Parameters of Personal Computer User

2019 ◽  
Author(s):  
Andrey A. Vyazigin ◽  
Nadezhda Y. Tupikina ◽  
Eugene V. Sypin
Keyword(s):  
Personal Computer ◽  
Software Tool ◽  
Computer User ◽  
Keystroke Dynamics ◽  
Personal Computer User

From Programming to Products: Softalk Magazine and the Rise of the Personal Computer User

2020 ◽  
Vol 55 (2) ◽  
pp. 105-129
Author(s):  
Laine Nooney ◽  
Kevin Driscoll ◽  
Kera Allen
Keyword(s):  
Personal Computer ◽  
Computer User ◽  
Personal Computer User

scholarly journals Teachers’ health-corrective activity management in connection with students’ educational work with computers

2017 ◽  
Vol 6 (2) ◽  
pp. 273-278
Author(s):  
Natalia Borisovna Shcherbakova
Keyword(s):  
Personal Computer ◽  
Computer Use ◽  
Mental Stress ◽  
Physical Stress ◽  
Computer User ◽  
Educational Work ◽  
Activity Management ◽  
Personal Computer User ◽  
Management Functions ◽  
Negative Factors

The author of the paper pays attention to the problem of safe computer use by students. Schoolchildrens work with computers has such negative factors as: eye strain, mental stress, physical stress associated with prolonged static muscles tension of a personal computer user. That is why it is so important to train teachers for health-corrective activities with students who work with a computer. In this paper the author proposes to consider the algorithm of teachers health-corrective activity management in connection with students educational work with computers. The author notes the following components of teachers health-corrective activity: subject, object, means, process, result, environment, conditions. The author defines management of teachers health-corrective activity. The paper contains an algorithm of teachers health-supporting activity management; the stages of this activity are defined in accordance with the management functions: designing, organization, regulation, control and accounting.

Computer user verification using login string keystroke dynamics

1998 ◽  
Vol 28 (2) ◽  
pp. 236-241 ◽  
Author(s):  
J.A. Robinson ◽  
V.W. Liang ◽  
J.A.M. Chambers ◽  
C.L. MacKenzie
Keyword(s):  
Computer User ◽  
Keystroke Dynamics

Curb Cuts and Computers: Advocating for Design Equality in the 1980s

Design Issues ◽  
2019 ◽  
Vol 35 (4) ◽  
pp. 23-32
Author(s):  
Elizabeth Petrick
Keyword(s):  
Personal Computer ◽  
Computer Technology ◽  
Personal Computers ◽  
Computer User ◽  
History Of

This article concerns the history of the curb cut metaphor as applied to personal computer technology in the 1980s. Disability advocates used the metaphor to argue the necessity for accessibility features on computers to enable greater access. To accomplish this goal, these advocates utilized a complex comparison between personal computers and sidewalk ramps to combat assumptions about who the intended computer user was and to argue for how people with different abilities could operate the same technology.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

The quantitative comparison of experimental and simulated diffraction contrast images

1995 ◽  
Vol 53 ◽  
pp. 102-103
Author(s):  
Stuart McKernan
Keyword(s):  
Image Processing ◽  
Personal Computer ◽  
Close Agreement ◽  
Quantitative Comparison ◽  
Image Simulation ◽  
Computing Power ◽  
Diffraction Contrast ◽  
Simulated Images ◽  
Made In

For many years the concept of quantitative diffraction contrast experiments might have consisted of the determination of dislocation Burgers vectors using a g.b = 0 criterion from several different 2-beam images. Since the advent of the personal computer revolution, the available computing power for performing image-processing and image-simulation calculations is enormous and ubiquitous. Several programs now exist to perform simulations of diffraction contrast images using various approximations. The most common approximations are the use of only 2-beams or a single systematic row to calculate the image contrast, or calculating the image using a column approximation. The increasing amount of literature showing comparisons of experimental and simulated images shows that it is possible to obtain very close agreement between the two images; although the choice of parameters used, and the assumptions made, in performing the calculation must be properly dealt with. The simulation of the images of defects in materials has, in many cases, therefore become a tractable problem.

On-line alignment and astigmatism correction using a TV and personal computer

1993 ◽  
Vol 51 ◽  
pp. 202-203
Author(s):  
F. Hosokawa ◽  
Y. Kondo ◽  
T. Honda ◽  
Y. Ishida ◽  
M. Kersker
Keyword(s):  
High Resolution ◽  
Personal Computer ◽  
Block Diagram ◽  
Incident Beam ◽  
Ccd Camera ◽  
Alignment Procedure ◽  
Astigmatism Correction ◽  
Transmission Electron ◽  
Alignment System ◽  
On Line

High-resolution transmission electron microscopy must attain utmost accuracy in the alignment of incident beam direction and in astigmatism correction, and that, in the shortest possible time. As a method to eliminate this troublesome work, an automatic alignment system using the Slow-Scan CCD camera has been introduced recently. In this method, diffractograms of amorphous images are calculated and analyzed to detect misalignment and astigmatism automatically. In the present study, we also examined diffractogram analysis using a personal computer and digitized TV images, and found that TV images provided enough quality for the on-line alignment procedure of high-resolution work in TEM. Fig. 1 shows a block diagram of our system. The averaged image is digitized by a TV board and is transported to a computer memory, then a diffractogram is calculated using an FFT board, and the feedback parameters which are determined by diffractogram analysis are sent to the microscope(JEM- 2010) through the RS232C interface. The on-line correction system has the following three modes.

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