Multi-sensor Data Fusion Technique to Detect Radiation Emission in Wireless Sensor Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10236493" target="_blank" >RIV/61989100:27240/17:10236493 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/17:10236493

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-69814-4_13" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-69814-4_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-69814-4_13" target="_blank" >10.1007/978-3-319-69814-4_13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-sensor Data Fusion Technique to Detect Radiation Emission in Wireless Sensor Networks

Popis výsledku v původním jazyce

Detection of objects emitting radiation is a classical problem widely analyzed by many authors worldwide; however, new computerized data analysis wireless sensor network and systems are emerging daily and require application of optimal sensors data fusion methods to increase their effectiveness even further. Conventional monitoring and other radiation emission detection systems lack optimal resources allocation in harsh and huge environments with shielding materials preventing in-time easy event detection. That is why many security issues are partially omitted in our daily lives and even in industry, including international cargo transportation operations, due to the need for a larger amount of high precision sensors to be deployed on larger areas with different technological standards and their high procurement and exploitation costs. Such conventional sensor systems are already used in many areas including detection of dirty bombs in containers (US Homeland Security initiative - Container security initiative (CSI)), but only in certain areas with relatively low efficiency. In this paper, a theoretical mathematical model is presented and discussed to lower the radiation emission detection time using DAI-DAO data fusion technique in crucial security systems. A known problem of dirty bomb detection in a container terminal is presented as an example to demonstrate the problem area and the effectiveness of the proposed solution

Název v anglickém jazyce

Multi-sensor Data Fusion Technique to Detect Radiation Emission in Wireless Sensor Networks

Popis výsledku anglicky

Detection of objects emitting radiation is a classical problem widely analyzed by many authors worldwide; however, new computerized data analysis wireless sensor network and systems are emerging daily and require application of optimal sensors data fusion methods to increase their effectiveness even further. Conventional monitoring and other radiation emission detection systems lack optimal resources allocation in harsh and huge environments with shielding materials preventing in-time easy event detection. That is why many security issues are partially omitted in our daily lives and even in industry, including international cargo transportation operations, due to the need for a larger amount of high precision sensors to be deployed on larger areas with different technological standards and their high procurement and exploitation costs. Such conventional sensor systems are already used in many areas including detection of dirty bombs in containers (US Homeland Security initiative - Container security initiative (CSI)), but only in certain areas with relatively low efficiency. In this paper, a theoretical mathematical model is presented and discussed to lower the radiation emission detection time using DAI-DAO data fusion technique in crucial security systems. A known problem of dirty bomb detection in a container terminal is presented as an example to demonstrate the problem area and the effectiveness of the proposed solution

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Electrical Engineering. Volume 465

ISBN

978-3-319-69813-7

ISSN

1876-1100

e-ISSN

1876-1119

Počet stran výsledku

10

Strana od-do

135-144

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Ho Či Minovo Město

Datum konání akce

7. 12. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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