Opportunities and challenges of global flight data acquisition /​ (Record no. 5324)

MARC details
000 -LEADER
fixed length control field 02040naa a22003138i 4500
001 - CONTROL NUMBER
control field 00005324
003 - CONTROL NUMBER IDENTIFIER
control field FR-PaOEC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006062617.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field a o d i
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr || |||m|n||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190601s2018 ||| o i|0| 0 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number (FR-PaOEC)
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaOEC
Transcribing agency ES-MaONT
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Martín, Juan Pablo
9 (RLIN) 3357
245 10 - TITLE STATEMENT
Title Opportunities and challenges of global flight data acquisition /​
Statement of responsibility, etc. Juan Pablo Martín and Martín Gabriel Riolfo
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Geneva :
Name of publisher, distributor, etc. International Telecommunication Union,
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent 7 p.
336 ## - CONTENT TYPE
Content type term texto (visual)
Source isbdcontent
337 ## - MEDIA TYPE
Media type term electrónico
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Source rdacarrier
520 3# - SUMMARY, ETC.
Summary, etc. Receptors on-board satellites are being implemented to track civil aircrafts all around the world. This new scenario requires novel methods to process the signals in order to efficiently retrieve more updated and reliable position and status data of every aircraft. To reach the required performance, it is indeed needed to engage carefully chosen algorithms of data analysis and processing. Machine learning algorithms, in particular k-nearest neighbors and support vector machines, are employed to estimate the potential success in decodifying ADS-B messages in highly congested areas, and simulations are performed to obtain the training and testing signals. First, the ADS-B communication system is described; second, multivariate analysis and machine learning algorithms are studied. Finally, the results obtained from machine learning methods are compared and future studies are proposed.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tecnologías habilitadoras digitales
9 (RLIN) 18
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Science and Technology
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Riolfo, Martín Gabriel
9 (RLIN) 3358
773 0# - HOST ITEM ENTRY
Host Biblionumber 4843
Title ITU Journal: ICT Discoveries
Related parts Vol. 2018, no. 2, p. 103-109
Enumeration and first page 2018:2<103
International Standard Serial Number 2616-8375
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name itu-ilibrary.org
Uniform Resource Identifier https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I2-2018-13-PDF-E.pdf
Link text Acceso al documento
Nonpublic note Abierto
Electronic format type pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Artículos
Source of classification or shelving scheme Universal Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Koha itemnumber Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Non-public note Koha item type Public note
      Acceso libre online Colección digital 6274 CDO CDO   12/09/2019   1000020175573 12/09/2019 12/09/2019 2019-09-12 Artículos pdf
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