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Статті в журналах з теми "Drone aircraft – Afghanistan – Evaluation"
Sibilli, Thierry, Capucine Senne, Hugo Jouan, Askin T. Isikveren, and Sabrina Ayat. "Synergistic hybrid-electric liquid natural gas drone: S.H.I.E.L.D." Aircraft Engineering and Aerospace Technology 92, no. 5 (February 27, 2020): 757–68. http://dx.doi.org/10.1108/aeat-10-2019-0211.
Повний текст джерелаHentschke, Matheus, Edison Pignaton de Freitas, Carlos Hennig, and Igor Girardi da Veiga. "Evaluation of Altitude Sensors for a Crop Spraying Drone." Drones 2, no. 3 (August 1, 2018): 25. http://dx.doi.org/10.3390/drones2030025.
Повний текст джерелаSöpper, Max, Jiannan Zhang, Niclas Bähr, and Florian Holzapfel. "Required Moment Sets: Enhanced Controllability Analysis for Nonlinear Aircraft Models." Applied Sciences 11, no. 8 (April 12, 2021): 3456. http://dx.doi.org/10.3390/app11083456.
Повний текст джерелаMott, John H., Zachary A. Marshall, Mark A. Vandehey, Mike May, and Darcy M. Bullock. "Detection of Conflicts Between ADS-B-Equipped Aircraft and Unmanned Aerial Systems." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 1 (January 2020): 197–204. http://dx.doi.org/10.1177/0361198119900645.
Повний текст джерелаSANCHEZ CARMONA, ALEJANDRO, CARMELO JAVIER VILLANUEVA CAÑIZARES, ALVARO GOMEZ RODRIGUEZ, LUIS GARCIA HERNANDEZ, and CRISTINA CUERNO REJADO. "CLASSIFICATION OF BRAIN SIGNALS FOR RPAS CONTROL IN THE TREATMENT OF ATTENTION DEFICIT HYPERACTIVITY DISORDER." DYNA 96, no. 1 (March 1, 2021): 220–24. http://dx.doi.org/10.6036/9496.
Повний текст джерелаStojcsics, Daniel, Zsolt Domozi, and András Molnár. "Automated evaluation of agricultural damage using UAV survey." Acta Universitatis Sapientiae, Agriculture and Environment 10, no. 1 (December 1, 2018): 20–30. http://dx.doi.org/10.2478/ausae-2018-0002.
Повний текст джерелаBIN MOHD ZAIDI, MUHAMMAD HAFIZ AIZUDDIN, and Khairul Nizam Tahar. "Evaluation On Different UAV’s Georeferencing Points to Generate Accurate Orthophoto and Digital Terrain Model." Built Environment Journal 18, no. 2 (July 27, 2021): 67. http://dx.doi.org/10.24191/bej.v18i2.13876.
Повний текст джерелаHaus, Brian K., David G. Ortiz-Suslow, James D. Doyle, David D. Flagg, Hans C. Graber, Jamie MacMahan, Lian Shen, Qing Wang, Neil J. Willams, and Caglar Yardim. "CLASI: Coordinating Innovative Observations and Modeling to Improve Coastal Environmental Prediction Systems." Bulletin of the American Meteorological Society 103, no. 3 (March 2022): E889—E898. http://dx.doi.org/10.1175/bams-d-20-0304.1.
Повний текст джерелаAl-Rabeei, Samer, Omar Alharasees, and Utku Kale. "Human Factors Analysis and Classification System - AHP Drone Model Assessment." Acta Avionica Journal, December 28, 2022, 41–49. http://dx.doi.org/10.35116/aa.2022.0030.
Повний текст джерелаGal-Or, Benjamin. "Editorial on Future Jet Technologies." International Journal of Turbo & Jet-Engines, January 19, 2014. http://dx.doi.org/10.1515/tjj-2014-1000.
Повний текст джерелаДисертації з теми "Drone aircraft – Afghanistan – Evaluation"
Sanchez, Sebastian Pablo. "Development and evaluation of a fault detection and identification scheme for the WVU YF-22 UAV using the artificial immune system approach." Morgantown, W. Va. : [West Virginia University Libraries], 2009. http://hdl.handle.net/10450/10399.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains xiii, 113 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 105-110).
Rowley, Dale D. "Real-time Evaluation of Vision-based Navigation for Autonomous Landing of a Rotorcraft Unmanned Aerial Vehicle in a Non-cooperative Environment." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd697.pdf.
Повний текст джерелаMammarella, Marco. "Evaluation of machine vision techniques for use within flight control systems." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5970.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains xi, 149 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 140-149).
(9739406), Travis L. Cline. "Mitigating Drone Attacks For Large High-Density Events." Thesis, 2020.
Знайти повний текст джерела(11178285), Jose Capa Salinas. "An Unmanned Aerial Systems Evaluation Chamber for Bridge Inspection." Thesis, 2021.
Знайти повний текст джерелаCivil engineering structures must provide an adequate and safe performance during their time of service, and the owners of these structures must have a reliable inspection strategy to ensure time-dependent damage does not become excessive. Visual inspection is the first step in every structural inspection; however, many elements in the majority of structures are difficult to access and require specialized personal and equipment. In an attempt to reduce the risk of the inspector and the cost of additional equipment, the use of Unmanned Aircraft Systems (UAS) has been increasing in the last years. The absence of standards and regulations regarding the use of UAS in inspection of structures has allowed the market to widely advertise Unmanned Aerial Vehicles (UAV) without protocols or qualifications that prove their effectiveness, leaving the owners of the structures to solely rely on claims of the vendors before deciding which technology suits their particular inspection needs. Focusing primarily on bridge inspection, this research aimed to address the lack of performance-based evaluation and standards for UAS, developing a validation criterion to evaluate a given UAS based on a repeatable test that resembles typical conditions in a structure.
Current applications of UAS in inspection of structures along with its advantages and limitations were studied to determine the current status of UAS technologies. A maximum typical rotor-tip-to-rotor-tip distance of an UAV was determined based on typical UAVs used in bridge inspection, and two main parameters were found to be relevant when flying close to structures: proximity effects in the UAV and availability of visual line of sight. Distances where proximity effects are relevant were determined based on several field inspections and flights close to structures. In addition, the use of supplementary technologies such as Global Positioning System (GPS) and Inertial Measurement Units (IMU) was studied to understand their effect during inspection.
Following the analysis, the author introduces the idea of a series of obstacles and elements inside an enclosed space that resemble components of bridge structures to be inspected using UAVs, allowing repeatability of the test by controlling outside parameters such as lighting condition, wind, precipitation, temperature, and GPS signal. Using distances based on proximity effects, maximum typical rotor-tip-to-rotor-tip distance, and a gallery of bridges and situations when flying close to bridge structures, a final arrangement of elements is presented as the evaluation chamber. Components inside the evaluation chamber include both “real” steel and concrete specimens as well as those intended to simulate various geometric configurations on which other features are mounted. Pictures of damages of steel and concrete elements have been placed in the internal faces of the obstacles that can be assessed either in real-time flight or in post-processing work. A detailed comparison between the objectives of this research project and the results obtained by the evaluation chamber was performed using visual evaluation and resolution charts for the images obtained, the availability of visual line of sight during the test, and the absence of GPS signal.
From the comparison and analysis conducted and based on satisfactory flight results as images obtained during flights, the evaluation chamber is concluded to be a repeatable and reliable tool to apply to any UAS prior to inspect bridges and other structures, and the author recommends to refrain from conducting an inspection if the UAS does not comply with the minimum requirements presented in this research work. Additionally, this research provided a clearer understanding of the general phenomenon presented when UAVs approach structures and attempts to fill the gap of knowledge regarding minimum requirements and criterion for the use of UAS technologies in inspection of structures.
Книги з теми "Drone aircraft – Afghanistan – Evaluation"
Martin, Matt J. Predator: The remote-control air war over Iraq and Afghanistan : a pilot's story. Minneapolis: MBI Pub. Co., 2010.
Знайти повний текст джерелаUnited States. Government Accountability Office. Unmanned aircraft systems: DOD needs to more effectively promote interoperability and improve performance assessments : report to the Subcommittee on Tactical Air and Land Forces, Committee on Armed Services, House of Representatives. Washington, D.C: U.S. Government Accountability Office, 2005.
Знайти повний текст джерелаOffice, General Accounting. Unmanned aerial vehicles: No more Hunter systems should be bought until problems are fixed : report to the Secretary of Defense. Washington, D.C: The Office, 1995.
Знайти повний текст джерелаOffice, General Accounting. Unmanned aerial vehicles: Performance of short-range system still in question : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1993.
Знайти повний текст джерелаOffice, General Accounting. Unmanned aerial vehicles: More testing needed before production of short-range system : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1992.
Знайти повний текст джерелаOffice, General Accounting. Unmanned aerial vehicles: Questionable basis for revisions to Shadow 200 acquisition strategy : report to the Chairman, Subcommittee on Military Research and Development, Committee on Armed Services, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.
Знайти повний текст джерелаOffice, General Accounting. Force structure: Opportunities for the Army to reduce risk in executing the military strategy : report to Congressional Committees. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.
Знайти повний текст джерелаOffice, General Accounting. Force structure: Army's efforts to improve efficiency of institutional forces have produced few results : report to Congressional committees. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1998.
Знайти повний текст джерелаOffice, General Accounting. Force structure: Improved strategic planning can enhance DOD's unmanned aerial vehicles efforts : report to the Chairman, Subcommittee on Tactical Air and Land Forces, Committee on Armed Services, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington 20013): U.S. General Accounting Office, 2004.
Знайти повний текст джерелаOffice, General Accounting. Force structure: Air Force expeditionary concept offers benefits but effects should be assessed : report to congressional committees. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.
Знайти повний текст джерелаТези доповідей конференцій з теми "Drone aircraft – Afghanistan – Evaluation"
Petrides, P., C. Kyrkou, P. Kolios, T. Theocharides, and C. Panayiotou. "Towards a holistic performance evaluation framework for drone-based object detection." In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991444.
Повний текст джерелаLiu, Hu, Hasrizam Che Man Mohd, Bing Feng Ng, and Kin Huat Low. "Airborne Collision Evaluation between Drone and Aircraft Engine: Effects of Position and Posture on Damage of Fan Blades." In AIAA AVIATION 2020 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-3214.
Повний текст джерелаR. Alsanad, Hamid, and Amin Z sadik. "YOLO-V3 Based Real-time Drone Detection Algorithm." In 4th International Conference on Communication Engineering and Computer Science (CIC-COCOS’2022). Cihan University, 2022. http://dx.doi.org/10.24086/cocos2022/paper.502.
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