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A hierarchical neuro-evolutionary approach to small quadrotor control /Shepherd, Jack F. January 1900 (has links)
Thesis (M.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 47-49). Also available on the World Wide Web.
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The tactical network operations communication coordinator in mobile UAV networks /Jeoun, Kristina S. January 2004 (has links) (PDF)
Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2004. / Thesis advisor(s): Alex Bordetsky. Includes bibliographical references (p. 51-52). Also available online.
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Special Operations forces and unmanned aerial vehicles sooner or later? /Howard, Stephen P. January 1900 (has links)
Thesis--School of Advanced Airpower Studies, Maxwell Air Force Base, Ala., 1994-95. / Title from title screen (viewed Oct. 28, 2003). "February 1996." Includes bibliographical references.
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Vision based 3D obstacle detectionShah, Syed Irtiza Ali. January 2009 (has links)
Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2010. / Committee Co-Chair: Johnson, Eric; Committee Co-Chair: Lipkin, Harvey; Committee Member: Sadegh, Nader. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Precision air data support for chem/bio attack response /Tan, Kwang Liang. January 2003 (has links) (PDF)
Thesis (M.S. in Aeronautical Engineering)--Naval Postgraduate School, March 2003. / Thesis advisor(s): Richard M. Howard, Vladimir N. Dobrokhodov. Includes bibliographical references (p. 99-100). Also available online.
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Development of a robust helipad detection algorithm.Nsogo, Gabriel Frederic. January 2007 (has links)
M. Tech. Electronic Engineering. / Discusses the main objective of this research to develop a robust image-based algorithm to detect and determine the orientation of small helipad using shape descriptors and associated pre-processing techniques.
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Tranų (apis mellifera l.) skraidymo ritmai / Rythm of drone (apis mellifera l.) flyingKatinienė, Aurelija 16 August 2007 (has links)
2004 ir 2006 m. birželio – rugpjūčio mėn. buvo tiriama medunešių bičių (Apis mellifera L.) tranų skraidymo pradžia, tranų skraidymo dinamika dienos metu ir kokią įtaką jai daro aplinkos temperatūra. Įvertintas išskrendančių ir atskrendančių į tą pačią bičių šeimą tranų skaičius bei tranų skridimas į svetimas bi��ių šeimas. Ištirta 6 stipresnės ir 5 silpnesnės bičių šeimos. Buvo skaičiuojami per 2 min. iš avilio išskridę, po to per 2 min. į avilį atskridę tranai. Kiekvienos bičių šeimos tranai buvo pažymėti skirtinga spalva. Žymėti tranai turėjo savo individualius numerius. Tyrimų rezultatai parodė, tranai pradeda skraidyti 5 parų amžiaus. Tranų skraidymas dieną prasideda nuo 12 val., o baigiasi 18 val. Jų išskridimas iš bičių šeimų pasiekia maksimumą apie 15 val., o sugrįžimas po skraidymo – apie 17 val. Esant daugiau nei 25ºC šilumos tranų skridimas iš šeimų pasiekia maksimumą apie 15 – 16 val., o sugrįžimas į jas – apie 17val. Kiekvienoje bičių šeimoje yra pusiausvyra tarp išskrendančių ir atskrendančių į ją tranų skaičiaus. Po skraidymo sugrįžtantys į bičių šeimą tranai yra dviejų rūšių: pasirenkantys tik savo šeimą ir pasirenkantys ne tik savo, bet ir kitas bičių šeimas (daugiau nei vieną šeimą). / During 2004 and 2006 June – August research was made to ascertain honeybees (Apis mellifera L.) drones starting to fly, their flying dynamic during the day and how it depends on surroundings temperature. Were counted numbers of drones flying in and out the same honeybees colonies and number of drones flying to the other honeybees colonies. For research were taken 6 stronger and 5 weaker honeybees colonies. Were counted number of drones flying out of the hive in 2 minutes period, after - were counted number flying in drones for the same period. Each colony drones were marked in different color and every marked drone had individual number. Researches showed that drones start to fly at the age of 5 days. During the day they begin to fly from 12 p.m. and stop flying at around 6 p.m. Highest number of drones flying out of hive is around 3 p.m., flying in - around 5 p.m. Each honeybees colony keeps balance between flying in and out of hive drones. Here are two kinds of drones, returning back to honeybees colony after flying: the ones, who choose only their own colony, and the others, that choose not only own colony, but others too (more than one colony).
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The UAV and the current and future regulatory construct for integration into the national airspace system /Peterson, Mark Edward. January 2005 (has links)
Unmanned Aerial Vehicles ("UAV") have been a part of aviation from the infancy of manned aviation; yet, have not reached their fullest potential as they are not integrated into the national airspace system ("NAS"). However, we are at the edge of technological breakthroughs to make integration a reality. Nevertheless, the regulatory construct necessary to provide safe integration of UAVs is unfinished. This thesis looks at necessary regulatory changes within the United States to allow for integration of the UAV into the NAS. I will first define the UAV and look at its historical roots. Then, I will review existing regulations and directives of manned flight that would apply to UAVs, as well as various rules specifically for UAVs that now exist. Through this examination, I will review the gaps and offer recommendations to fill regulatory holes in hopes to provide a useful contribution to the eventual integrated flight of UAVs.
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Design and integration of an unmanned aerial vehicle navigation systemDittrich, Joerg S. 05 1900 (has links)
No description available.
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Flow control over a micro unmanned aerial vehicle using synthetic jet actuatorsFung, Pearl Haiyan 05 1900 (has links)
No description available.
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