Analysis of technological trends and technological portfolio of unmanned aerial vehicle

Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing grow...
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Autor*in:	Battsengel, Ganchimeg [verfasserIn] Geetha, Selvaraj [verfasserIn] Jeon, Jeonghwan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Übergeordnetes Werk:	Enthalten in: Journal of open innovation - Basel : MDPI, 2015, 6(2020), 3/48 vom: Sept., Seite 1-14
Übergeordnetes Werk:	volume:6 ; year:2020 ; number:3/48 ; month:09 ; pages:1-14

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.3390/joitmc6030048

Katalog-ID:	172805396X

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520			\|a Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs.
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allfields	10.3390/joitmc6030048 doi 10419/241434 hdl (DE-627)172805396X (DE-599)KXP172805396X DE-627 ger DE-627 rda eng Battsengel, Ganchimeg verfasserin aut Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Geetha, Selvaraj verfasserin aut Jeon, Jeonghwan verfasserin (DE-588)1015597076 (DE-627)669034991 (DE-576)350850658 aut Enthalten in Journal of open innovation Basel : MDPI, 2015 6(2020), 3/48 vom: Sept., Seite 1-14 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:6 year:2020 number:3/48 month:09 pages:1-14 https://www.mdpi.com/2199-8531/6/3/48/pdf Verlag kostenfrei https://doi.org/10.3390/joitmc6030048 Resolving-System kostenfrei http://hdl.handle.net/10419/241434 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 6 2020 3/48 9 1-14 26 01 0206 3744592782 x1z 31-08-20 2403 01 DE-LFER 3758494478 00 --%%-- --%%-- n --%%-- l01 18-09-20 2403 01 DE-LFER https://doi.org/10.3390/joitmc6030048 2403 01 DE-LFER https://www.mdpi.com/2199-8531/6/3/48/pdf 26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV)
spelling	10.3390/joitmc6030048 doi 10419/241434 hdl (DE-627)172805396X (DE-599)KXP172805396X DE-627 ger DE-627 rda eng Battsengel, Ganchimeg verfasserin aut Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Geetha, Selvaraj verfasserin aut Jeon, Jeonghwan verfasserin (DE-588)1015597076 (DE-627)669034991 (DE-576)350850658 aut Enthalten in Journal of open innovation Basel : MDPI, 2015 6(2020), 3/48 vom: Sept., Seite 1-14 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:6 year:2020 number:3/48 month:09 pages:1-14 https://www.mdpi.com/2199-8531/6/3/48/pdf Verlag kostenfrei https://doi.org/10.3390/joitmc6030048 Resolving-System kostenfrei http://hdl.handle.net/10419/241434 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 6 2020 3/48 9 1-14 26 01 0206 3744592782 x1z 31-08-20 2403 01 DE-LFER 3758494478 00 --%%-- --%%-- n --%%-- l01 18-09-20 2403 01 DE-LFER https://doi.org/10.3390/joitmc6030048 2403 01 DE-LFER https://www.mdpi.com/2199-8531/6/3/48/pdf 26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV)
allfields_unstemmed	10.3390/joitmc6030048 doi 10419/241434 hdl (DE-627)172805396X (DE-599)KXP172805396X DE-627 ger DE-627 rda eng Battsengel, Ganchimeg verfasserin aut Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Geetha, Selvaraj verfasserin aut Jeon, Jeonghwan verfasserin (DE-588)1015597076 (DE-627)669034991 (DE-576)350850658 aut Enthalten in Journal of open innovation Basel : MDPI, 2015 6(2020), 3/48 vom: Sept., Seite 1-14 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:6 year:2020 number:3/48 month:09 pages:1-14 https://www.mdpi.com/2199-8531/6/3/48/pdf Verlag kostenfrei https://doi.org/10.3390/joitmc6030048 Resolving-System kostenfrei http://hdl.handle.net/10419/241434 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 6 2020 3/48 9 1-14 26 01 0206 3744592782 x1z 31-08-20 2403 01 DE-LFER 3758494478 00 --%%-- --%%-- n --%%-- l01 18-09-20 2403 01 DE-LFER https://doi.org/10.3390/joitmc6030048 2403 01 DE-LFER https://www.mdpi.com/2199-8531/6/3/48/pdf 26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV)
allfieldsGer	10.3390/joitmc6030048 doi 10419/241434 hdl (DE-627)172805396X (DE-599)KXP172805396X DE-627 ger DE-627 rda eng Battsengel, Ganchimeg verfasserin aut Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Geetha, Selvaraj verfasserin aut Jeon, Jeonghwan verfasserin (DE-588)1015597076 (DE-627)669034991 (DE-576)350850658 aut Enthalten in Journal of open innovation Basel : MDPI, 2015 6(2020), 3/48 vom: Sept., Seite 1-14 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:6 year:2020 number:3/48 month:09 pages:1-14 https://www.mdpi.com/2199-8531/6/3/48/pdf Verlag kostenfrei https://doi.org/10.3390/joitmc6030048 Resolving-System kostenfrei http://hdl.handle.net/10419/241434 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 6 2020 3/48 9 1-14 26 01 0206 3744592782 x1z 31-08-20 2403 01 DE-LFER 3758494478 00 --%%-- --%%-- n --%%-- l01 18-09-20 2403 01 DE-LFER https://doi.org/10.3390/joitmc6030048 2403 01 DE-LFER https://www.mdpi.com/2199-8531/6/3/48/pdf 26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV)
allfieldsSound	10.3390/joitmc6030048 doi 10419/241434 hdl (DE-627)172805396X (DE-599)KXP172805396X DE-627 ger DE-627 rda eng Battsengel, Ganchimeg verfasserin aut Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Geetha, Selvaraj verfasserin aut Jeon, Jeonghwan verfasserin (DE-588)1015597076 (DE-627)669034991 (DE-576)350850658 aut Enthalten in Journal of open innovation Basel : MDPI, 2015 6(2020), 3/48 vom: Sept., Seite 1-14 Online-Ressource (DE-627)833526413 (DE-600)2832108-X (DE-576)444393463 2199-8531 nnns volume:6 year:2020 number:3/48 month:09 pages:1-14 https://www.mdpi.com/2199-8531/6/3/48/pdf Verlag kostenfrei https://doi.org/10.3390/joitmc6030048 Resolving-System kostenfrei http://hdl.handle.net/10419/241434 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 6 2020 3/48 9 1-14 26 01 0206 3744592782 x1z 31-08-20 2403 01 DE-LFER 3758494478 00 --%%-- --%%-- n --%%-- l01 18-09-20 2403 01 DE-LFER https://doi.org/10.3390/joitmc6030048 2403 01 DE-LFER https://www.mdpi.com/2199-8531/6/3/48/pdf 26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV)
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topic_title	26 00 DE-206 56 network analysis 26 00 DE-206 56 technological portfolio 26 00 DE-206 56 technological trend 26 00 DE-206 56 topic modeling 26 00 DE-206 56 unmanned aerial vehicle (UAV) Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon
topic	26 network analysis 26 technological portfolio 26 technological trend 26 topic modeling 26 unmanned aerial vehicle (UAV)
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title	Analysis of technological trends and technological portfolio of unmanned aerial vehicle
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title_full	Analysis of technological trends and technological portfolio of unmanned aerial vehicle Ganchimeg Battsengel, Selvaraj Geetha and Jeonghwan Jeon
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title_sort	analysis of technological trends and technological portfolio of unmanned aerial vehicle
title_auth	Analysis of technological trends and technological portfolio of unmanned aerial vehicle
abstract	Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs.
abstractGer	Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs.
abstract_unstemmed	Unmanned aerial vehicles (UAVs) are predicted to be the most dynamic growth sector of the world aerospace market this decade. This technology is swiftly strengthening its presence in multiple fields of human life. In the global aerospace industry, UAVs have become an essential means of securing growth and competitiveness. The investment in UAVs is estimated at billions of dollars in developed countries. However, despite the rapid growth of UAVs, few studies have classified UAV technologies into detailed technologies, or analyzed the technology development trends of UAVs. We used the latent Dirichlet allocation (LDA) method of topic modeling and network analysis to analyze the technological trends and technological portfolio of UAVs. The UAV patents were collected from the Korea Intellectual Property Rights Information Service. Analyzing the results shows that the most popular topics are communication technology (34.1%), power supply (19.5%) and navigation system (17.6%). The technological portfolio of a UAV is constituted of three groups: control system, operation system and device. This study is expected to be guidelines for developers and policy-makers on UAVs.
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title_short	Analysis of technological trends and technological portfolio of unmanned aerial vehicle
url	https://www.mdpi.com/2199-8531/6/3/48/pdf https://doi.org/10.3390/joitmc6030048 http://hdl.handle.net/10419/241434
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doi_str	10.3390/joitmc6030048
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up_date	2024-07-05T01:55:49.963Z
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