Visual space-time complexity analysis of big signal data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F24%3A63587279" target="_blank" >RIV/70883521:28140/24:63587279 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10705512" target="_blank" >https://ieeexplore.ieee.org/document/10705512</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EMCSIPI49824.2024.10705512" target="_blank" >10.1109/EMCSIPI49824.2024.10705512</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Visual space-time complexity analysis of big signal data

Popis výsledku v původním jazyce

This paper will focus on introducing visual analysis for big signal data suitable for preliminary conclusions and information presented to others. The analysis is to determine uniqueness, focusing on spatial-temporal complexity by the nature of the test data. Alongside introducing the analysis and optimization for programming purposes, the real data will be presented and used to display possible usage of this analysis and to determine the uniqueness of electromagnetic background for the possible use in true random number generators. The data consists of measurements in frequency band increments in many locations using widely available consumer-grade equipment. Visual analyses are especially valuable in situations like search for entropy sources because there is no immediate need for a concrete number or boolean statement of the uniqueness; moreover, presenting work is the daily job of a researcher, and the ability to visualize findings in a simple figure is easier to digest by the wider population.

Název v anglickém jazyce

Visual space-time complexity analysis of big signal data

Popis výsledku anglicky

This paper will focus on introducing visual analysis for big signal data suitable for preliminary conclusions and information presented to others. The analysis is to determine uniqueness, focusing on spatial-temporal complexity by the nature of the test data. Alongside introducing the analysis and optimization for programming purposes, the real data will be presented and used to display possible usage of this analysis and to determine the uniqueness of electromagnetic background for the possible use in true random number generators. The data consists of measurements in frequency band increments in many locations using widely available consumer-grade equipment. Visual analyses are especially valuable in situations like search for entropy sources because there is no immediate need for a concrete number or boolean statement of the uniqueness; moreover, presenting work is the daily job of a researcher, and the ability to visualize findings in a simple figure is easier to digest by the wider population.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE International Symposium on Electromagnetic Compatibility

ISBN

979-8-3503-6040-0

ISSN

2158-110X

e-ISSN

2158-1118

Počet stran výsledku

6

Strana od-do

585-590

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, New Jersey

Místo konání akce

Phoenix

Datum konání akce

5. 8. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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