Ergül, Özgür

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Name Variants
Ergul,O.
Ozgur, Ergul
Ergül, Özgür
Özgür, Ergül
Ergul, Ozgur
O.,Ergul
Ö.,Ergül
E.,Özgür
E.,Ozgur
O., Ergul
Ergül,Ö.
E., Ozgur
Job Title
Doktor Öğretim Üyesi
Email Address
ozgur.ergul@atilim.edu.tr
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

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Scholarly Output

1

Articles

1

Views / Downloads

1/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

7

Scopus Citation Count

7

Patents

0

Projects

0

WoS Citations per Publication

7.00

Scopus Citations per Publication

7.00

Open Access Source

1

Supervised Theses

0

JournalCount
Physical Communication1
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Scholarly Output Search Results

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  • Article
    Citation - WoS: 7
    Citation - Scopus: 7
    Rescue: Wireless Power-Enabled Communication Architecture for Earthquake Rescue Operations
    (Elsevier, 2020) Badirkhanli, Orkhan; Akan, Ozgur B.; Ergul, Ozgur
    In a natural disaster such as an earthquake, it is vital to know the number of people trapped under the ruins. To address this problem, we propose RESCUE - wiREless backScattering CommUnication based disastEr recovery system. RESCUE is composed of special Radio-frequency identification (RFID) readers and sensors that are used to determine the total number of people under the ruins. Passive wireless sensor nodes are placed inside the building during construction and are equipped with a camera that is activated during an earthquake. After the earthquake, communication to the passive tags of sensors is achieved by wireless power transfer from a reader located outside the ruins. Tags harvest this energy and send the image data stored by the camera. We also design an antenna structure to maximize simultaneous wireless information and power transfer (SWIPT) for devices under ruins. We analyze the communication channel between reader and sensors and derive a channel model over ruins. Furthermore, we obtain the results of experimental study where we validate the derived channel model. Results show that RESCUE can collect the desired data in a relatively short time, and hence, is a promising disaster recovery system architecture. (C) 2019 Elsevier B.V. All rights reserved.