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KNOWLEDGE MANAGEMENT AS AN ASSISTANT IN DATA PROCESSING AND DATABASE FOR PSYCHOPHYSIOLOGICAL TESTS

Authors: Jelena Turlisova; Anita Jansone;

KNOWLEDGE MANAGEMENT AS AN ASSISTANT IN DATA PROCESSING AND DATABASE FOR PSYCHOPHYSIOLOGICAL TESTS

Abstract

In nowadays modern society is a knowledge society and we are living in the information communication technologies century, so smart use of different computing tools, instruments and techniques are more and more used and applied for the problems of getting relevant information from the ever-increasing data flow and surrounding information problems resolving. Evaluation of children visual perception is not an exemption. In previous articles, authors described how mechanical skills of children's visual perception can be thoroughly evaluated by computerized system assistance that rates mechanical skills of perception or the computer screening. This computerized approach is a unique and promising opportunity, even a new method, of children's development level of visual perception evaluation at a very early age. In addition – with such evaluation by the computerized system there is not only possible to exclude the risk of the human factor (subjective assess or overlook), but the possibility to get extreme time-saving and extra accuracy of computer-aided tests. Extra fast test results proceeding is the main advantage of the computerized psychophysiological tests, especially when computing of tests means technical resolution and value-added outcome of tests results. The main purpose of this study is to consider how the KM system can be used as an assistant in data processing and creation/storage of databases for psychophysiological tests, especially for DTVP tests in the ImageJ computer program.

Related Organizations
Keywords

database, data mining, data processing, ImageJ knowledge management, Psychophysiological tests

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze