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JCR Impact Factor: 1.221
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  3/2019 - 10

Integrated Database System with Spatial Information for Disaster Risk Management

OSORIO, E. E. C. See more information about OSORIO, E. E. C. on SCOPUS See more information about OSORIO, E. E. C. on IEEExplore See more information about OSORIO, E. E. C. on Web of Science, HAYAT, B. See more information about  HAYAT, B. on SCOPUS See more information about  HAYAT, B. on SCOPUS See more information about HAYAT, B. on Web of Science, SHAH, B. See more information about  SHAH, B. on SCOPUS See more information about  SHAH, B. on SCOPUS See more information about SHAH, B. on Web of Science, CHOW, F. See more information about  CHOW, F. on SCOPUS See more information about  CHOW, F. on SCOPUS See more information about CHOW, F. on Web of Science, KIM, K.-I. See more information about KIM, K.-I. on SCOPUS See more information about KIM, K.-I. on SCOPUS See more information about KIM, K.-I. on Web of Science
 
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Download PDF pdficon (1,219 KB) | Citation | Downloads: 402 | Views: 1,114

Author keywords
database, geographic information systems, terrain mapping, software, image processing

References keywords
data(10), sensing(7), remote(7), system(6), systems(5), information(5), technology(4), research(4), processing(4), management(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-08-31
Volume 19, Issue 3, Year 2019, On page(s): 83 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.03010
Web of Science Accession Number: 000486574100010
SCOPUS ID: 85072206770

Abstract
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Despite availability of various image sources for specific areas, a new disaster management system is likely to be implemented by using only one of them. Thus, its applicability and extensibility are severely limited. In addition, real-time update for the disaster area is one of the crucial functions for search and rescue activities. To meet the aforementioned requirements, in this paper, we propose a new spatial data infrastructure by defining the methodological scheme for the raster information. The proposed system has four respective layers to reduce the management cost as well as provide a flexible architecture. In each layer, various open source software or standard technologies are employed to perform the given tasks. The experimental results reveal that the proposed scheme accommodates the requirements for disaster risk management and meets the performance requirements in an efficient way.


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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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