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Record W6888896138 · doi:10.23817/2020.budstatpow

Budowa statków powietrznychi system żeglugi powietrznej

2022· book· pl· W6888896138 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Institutional Repository of the National Aviation University of Ukraine (National Aviation University, Ukraine) · 2022
Typebook
Languagepl
FieldEngineering
TopicAerospace Engineering and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAirworthinessCollisionAviationAircraft maintenanceTerrainAviation safetyInertial navigation systemAir navigationAir traffic control

Abstract

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Logistics and Transport– Wroclaw: International School of Logistics and Transport in Wroclaw. – 2018. – Nr 2 (38). – s. 23–32. [ 21 ] Doc, ICAO (2008). 9613: Performance-based navigation (PBN) manual. Montréal: International Civil Aviation Organisation, 304. [ 22 ] Doc, ICAO (2012). 9849: Global Navigation Satellite System (GN SS) Manual, s. 68. [ 23 ] Encyclopedia of aviation safety. Kulik N.S. 2008. s. 999. (w jęz. ukraińskim). [ 24 ] Eurocontrol, (2008) GUID -114, Guidelines for PRNA V Infrastructure Assessment, Edition 1.2, 35. [ 25 ] European RPAS Steering Group. (2013). Roadmap for the integration of civil Remotely-Piloted Aircraft Systems into the European Aviation System. Raport końcowy. [ 26 ] FAA (1982) AC 00-31A, U.S. National aviation standard for very high frequency omnidirectional radio range (VOR ) / distance measuring equipment (DME ) / tactical air navigation (TACAN ) systems, 67. [ 27 ] FAA (2007) AC 90-100A, U.S. Terminal and En Route Area Navigation (RNA V) Operations, 273. [ 28 ] Federal Aviation Administration. Aircraft Certification Service. Washington, D.C. TSO-C151c. 2012. [ 29 ] Finne K.N.: Igor Sikorsky, The Russian Years, Smithsonian Institution Press, 1987, s. 223. [ 30 ] Galati G., Leonardi M., Magarò P., Paciucci V.: Wide area surveillance using SSR mode S multilateration: advantages and limitations. InEuropean Radar Conference, 2005. EURAD 2005. 2005 Oct 3 (pp. 225–229). IEEE . [ 31 ] Gillispie, Charles Coulston: The Montgolfier Brothers and the Invention of Aviation 1783-1784: Princeton University Press, 2014 – s. 232. [ 32 ] Global market forecast 2019–2038. Cities, airports & aircraft. AIR BUS S.A.S. 31707 Blagnac Cedex, France – s. 86. [ 33 ] Global Positioning system: Theory and applications. Tom 1. Red. W. Bradford, James Parkinson, Jr. Spilker. Washington: American institute of aeronautics and astronautics inc., 1996. s. 794. [ 34 ] Gongora M.: ICAO NAM /CAR /SAM ATS Data Link Implementation Workshop.St. Maarten, 18–21 kwietnia 2016, s. 44. https://www.icao.int/NACC /Documents/ Meetings/2016/ATS/DA TALINK P15.pdf. [ 35 ] Grewal M.S., Andrews A.P., Bartone C.G.: Global navigation satellite systems, inertial navigation, and integration. John Wiley & Sons; 11.02.2020. [ 36 ] Gustafsson F., Gunnarsson F.: Positioning using time-difference of arrival measurements. Podczas IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICA SSP’03). 6.04.2003 (tom 6, s. VI–553). IEEE . [ 37 ] https://en.wikipedia.org/wiki/Airbus_A320_family. [ 38 ] https://en.wikipedia.org/wiki/Mil_Mi-8#/media/File:Mil_Mi-8_HI P. [ 39 ] https://en.wikipedia.org/wiki/Wing_configuration. [ 40 ] https://rg.ru/2016/07/11/rodina-mogayskij.html. [ 41 ] https://ukrcopter.com/en/page-aeromedical-evacuation. [ 42 ] https://ukrcopter.com/en/page-cargo. [ 43 ] https://ukrcopter.com/en/page-passenger. [ 44 ] https://ukrcopter.com/en/page-search-and-rescue. [ 45 ] https://www.aerospace-technology.com/projects/antonov/. [ 46 ] https://www.aiaa.org/about/History-and-Heritage/History-Timeline. [ 47 ] https://www.airbus.com/aircraft/passenger-aircraft/cabin-comfort.html. [ 48 ] https://www.airbus.com/innovation/future-technology/electric-flight.html. [ 49 ] https://www.antonov-airlines.com/wp-content/uploads/2019/03/AA -Brochure- 2019-I-NE T.pdf. [ 50 ] https://www.britannica.com/technology/helicopter. [ 51 ] https://www.flightglobal.com/m-as-in-mach-seven-supersonic-business-jet-dreams/ 116792.article. [ 52 ] https://www.skybrary.aero/index.php/A320. [ 53 ] https://www.skybrary.aero/index.php/Approach_Speed_Categorisation. [ 54 ] https://www.skybrary.aero/index.php/ICAO _Aerodrome_Reference_Code. [ 55 ] https://www.skybrary.aero/index.php/ICAO _Wake_Turbulence_Category. [ 56 ] IA TA’s annual Standard Schedules Information Manual (SSIM ). Załącznik A (IA TA, wydanie aktualne). [ 57 ] ICAO Doc 8168 PAN S-OPS tom 1. [ 58 ] ICAO Document 8643 Aircraft Type Designators. [ 59 ] ICAO : Telekomunikacja lotnicza. Tom II . Procedury komunikacyjne wraz z tymi o statusie PAN S. Załącznik 10 do Konwencji o międzynarodowym lotnictwie cywilnym (2001) . [ 60 ] ICAO : Telekomunikacja lotnicza. Tom IV. Systemy dozorowania i unikania kolizji. Załącznik 10 do Konwencji o międzynarodowym lotnictwie cywilnym (2018) . [ 61 ] Międzynarodowe normy i zalecane metody postępowania. Telekomunikacja lotnicza. Systemy dozorowania i unikania kolizji. Załącznik 10 do Konwencji o międzynarodowym lotnictwie cywilnym, tom 4, ICAO , 2007, s. 288. [ 62 ] Jeannin J., Ghorbal K., Kouskoulas Y., Gardner R., Schmidt A., Zawadzki E., Platzer A.: Formal verification of ACAS X, an industrial airborne collision avoidance system.Artykuł prezentowany podczas Proceedings of the International Conference on Embedded Software 2015, EM SOF T 2015, 127–136. https://doi.org/10.1109/ EM SOF T.2015.7318268. [ 63 ] Kastelein M., De Haag M.U.: Preliminary analysis of ADS-B performance for use in ACAS systems. Artykuł prezentowany podczas AIAA /IEEE Digital Avionics Systems Conference – Proceedings, 7D31-7D310, 2014. https://doi.org/10.1109/ DA SC.2014.6979522. [ 64 ] Kaune R., Steffes C., Rau S., Konle W., Pagel J.: Wide area multilateration using ADS-B transponder signals. 15th International Conference on Information Fusion 2012, 9.07.2012 (s. 727–734). IEEE . [ 65 ] Kharchenko V.P., Ostroumov I.V.: Avionics. Kijów, 2013. s. 281. ISBN: 978-966- 598-573-0 (w jęz. ukraińskim). [ 66 ] Kutsenko O., Ilnytska S., & Konin V.: Investigation of the residual tropospheric error influence on the coordinate determination accuracy in a satellite landing system. Aviation, 22(4), 2018, s. 156–165. https://doi.org/10.3846/aviation.2018.7082. [ 67 ] Kuzmenko N.S., Ostroumov I.V.: Performance Analysis of Positioning System by Navigational Aids in Three Dimensional Space. System Analysis & Intelligent Computing: SAIC 2018 1st International Conference of IEEE . 2018. s. 101–104. DOI : 10.1109/SAIC .2018.8516790. [ 68 ] Kuzmenko N.S., Ostroumov I.V., Kharchenko V.P.: Improving the Accuracy of Aircraft Positioning by Navigational Aids Using Kalman Filter. Signal Processing Symposium: SPSympo-2019, International Conference of IEEE . 2019. s. 109-114. DOI : 10.1109/SPS.2019.8882072. [ 69 ] Kuzmenko N.S., Ostroumov I.V., Marais K.: An Accuracy and Availability Estimation of Aircraft Positioning by Navigational Aids. Methods and Systems of Navigation and Motion Control: MSNMC 2018 5th International Conference of IEEE . 2018. s. 36–40. DOI : 10.1109/MSNMC .2018.8576276. [ 70 ] Liggins M.E., Hall D.L., Llinas J.: Handbook of multisensor data fusion: theory and practice. CRC press, 2017. s. 872. ISBN 978-1-4200-5308-1. [ 71 ] Lilienthal Otto: Birdflight As the Basis of Aviation: A Contribution Towards a System of Aviation: 8. Markowski International Publishers; red. Markowski wydanie (2018) – s. 176. [ 72 ] Lo S., Enge P., Niles F., Loh R., Eldredge L., Narins M.: Preliminary assessment of alternative navigation means for civil aviation. Artykuł prezentowany podczas Institute of Navigation – International Technical Meeting 2010, ITM 2010, 1, 484–492. [ 73 ] Mantilla-Gaviria I.A., Leonardi M., Galati G., Balbastre-Tejedor J.V.:

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.227
Threshold uncertainty score0.758

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2270.147

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.173
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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