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Relevant bibliographies by topics / Deployment of aircraft

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Academic literature on the topic 'Deployment of aircraft'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Deployment of aircraft"

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Behere, Ameya, Tejas Puranik, Michelle Kirby, and Dimitri Mavris. "Parametric optimization of aircraft arrival trajectories for aviation noise mitigation using BADA4 performance model." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4641–51. http://dx.doi.org/10.3397/in-2021-2783.

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Successful mitigation of aviation noise is a key enabler for sustainable aviation growth. A key focus of this effort is the noise arising from aircraft arrival operations. Arrival operations are characterized by the use of high-lift devices, deployment of landing gear, and low thrust levels, which results in the airframe being the major component of noise. In order to optimize for arrival noise, management of the flap schedule and gear deployment is crucial. This research aims to create an optimization framework for evaluating various aircraft trajectories in terms of their noise impact. A parametric representation of the aircraft arrival trajectory will be created to allow for the variation of aircraft's flap schedule. The Federal Aviation Administration's Aviation Environmental Design Tool will be used to simulate the aircraft trajectory and performance, and to compute the noise metrics. Specifically, the latest performance model from EUROCONTROL called "Base of Aircraft Data - Family 4" will be used. This performance model contains higher fidelity modeling of aircraft aerodynamics and other characteristics which allows for better parametric variation.

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Sprong, J. P., X. Jiang, and H. Polinder. "Deployment of Prognostics to Optimize Aircraft Maintenance – A Literature Review." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 5, no. 4 (2020): 26–37. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.54.3004.

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Historic records show that the cost of operating and supporting an aircraft may exceed the initial purchase price as much as ten times. Maintenance, repair and overhaul activities rep- resent around 10-15% of an airlines annual operational costs. Therefore, optimization of maintenance operations to minimize cost is extremely important for airlines in order to stay competitive. Prognostics, a process to predict remaining useful life of systems and/ or components suffering from aging or degradation, has been recognized as one of the revolutionary disciplines that can improve efficiency of aircraft operations and optimize aircraft maintenance. This study focuses on literature that has used prognostics to optimize aircraft maintenance and identifies research gaps for further optimization of aircraft maintenance in commercial aviation. In this paper, the origin and development of prognostics is firstly introduced. Thereafter, the state of art of aircraft maintenance is reviewed. Next, the applicability of prognostics to optimize aircraft maintenance is explained, reviewed, and potential challenges and opportunities are explored. Finally, the state-of-the-art of prognostics in aircraft maintenance is dis- cussed and research gaps are identified in perspective of the deployment of prognostics to optimize aircraft maintenance.

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Kustra, Todd W., Subhashini Ganapathy, Amanda C. Muller, and S. Narayanan. "Decision Support System for Logistics Systems Analysis Using Image Theory and Work Domain Analysis." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 2, no. 2 (April 2005): 71–85. http://dx.doi.org/10.1177/154851290500200203.

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In this study, image theory and work domain analysis were used to develop an interactive decision support system for sortie generation tasks in an Air Force aircraft maintenance unit. Aircraft maintenance personnel were charged with creating a short list of aircraft for deployment using either maintenance information alone or maintenance information with the interactive decision support system. Results were compared with a deployment list developed by expert aircraft maintenance superintendents. The deployment lists generated with the interactive decision support system more closely resembled the experts' list and took less time to create than those generated using maintenance information alone. These results show the viability of the methodology outlined in this study for creating decision support systems in complex logistics planning.

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Kudryavtsev, A. V., and S. N. Kulikov. "Spontaneous Deployment of Braking Flaps in Aircraft Landing." Russian Engineering Research 41, no. 6 (June 2021): 504–6. http://dx.doi.org/10.3103/s1068798x21060125.

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Parrish, Douglas K., Cara H. Olsen, and Richard J. Thomas. "Aircraft Carrier Personnel Mishap and Injury Rates during Deployment." Military Medicine 170, no. 5 (May 2005): 387–94. http://dx.doi.org/10.7205/milmed.170.5.387.

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Langford, John S., and Kerry A. Emanuel. "An Unmanned Aircraft for Dropwindsonde Deployment and Hurricane Reconnaissance." Bulletin of the American Meteorological Society 74, no. 3 (March 1993): 367–75. http://dx.doi.org/10.1175/1520-0477(1993)074<0367:auafdd>2.0.co;2.

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Hsu, J. C. "Using system engineering on an aircraft improvement project." Aeronautical Journal 110, no. 1114 (December 2006): 813–20. http://dx.doi.org/10.1017/s0001924000001688.

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A complete system engineering process is applied to a pilot project that will determine the initial deployment of the system engineering process for future projects. It was a challenge to complete the entire systems engineering process to include project team utilisation of system engineering tools in such a short time span. Therefore, systems engineering products had to be useful and productive to the project. The system requirements definition, quality function deployment (QFD) evaluation, trade study, risk identification and risk mitigation processes were completed in a timely manner and assisted in the system eequirements, system design and preliminary design reviews successfully.

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Arum, Steve Chukwuebuka, David Grace, Paul Daniel Mitchell, Muhammad Danial Zakaria, and Nils Morozs. "Energy Management of Solar-Powered Aircraft-Based High Altitude Platform for Wireless Communications." Electronics 9, no. 1 (January 18, 2020): 179. http://dx.doi.org/10.3390/electronics9010179.

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With the increasing interest in wireless communications from solar-powered aircraft-based high altitude platforms (HAPs), it is imperative to assess the feasibility of their deployment in different locations with the constraints on energy consumption and payload weight under consideration. This paper considers the energy management of solar-powered aircraft-based HAPs for wireless communications service provisioning in equatorial regions and regions further up the northern hemisphere. The total solar energy harvested and consumed on the shortest day of the year is analyzed, and it is explained how this determines the feasibility of long endurance, semi-permanent missions. This takes into account the different aircraft-based HAPs and the energy storage systems currently available, and how these can be deployed for wireless communications. We show that the solar-powered HAPs are energy and weight limited, and this depends largely on the platform’s wingspan available for the deployment of solar collectors. Our analysis show that services can be provided for a duration of 15–24 h/day using current platforms, with wingspans ranging between 25–35 m, depending on the configuration and coverage radius. Furthermore, we show that doubling an aircraft’s wingspan can increase its payload capacity by a factor of 6, which in turn enhances its feasibility for wireless communications.

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Fujita, Koji, and Hiroki Nagai. "Robustness analysis on aerial deployment motion of a Mars aircraft using multibody dynamics simulation: effects of wing-unfolding torque and timing." Aeronautical Journal 121, no. 1238 (January 16, 2017): 449–68. http://dx.doi.org/10.1017/aer.2016.123.

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ABSTRACTThis paper investigates the effects of the design variables of an aerial deployment mechanism on the robustness of the aerial deployment through a multibody dynamics simulation. The aircraft is modelled as three joined rigid bodies: a right wing, a left wing and a centre body. A spring-loaded hinge is adopted as an actuator for deployment. The design variables are the hinge torque and the deployment timing. The robustness is evaluated using a sigma level method. The margins for the safe deployment conditions are set for the evaluation functions. The dispersive input variables are the initial drop velocity, the surrounding gust velocity, the initial pitch angle and the initial height. The design point with a deployment torque scale valueFof 0.7 and a right-wing deployment delay timeTSRof 1.0 s can safely deploy in the low-torque deployment condition. This design point is able to accomplish both a safe deployment and a lightweight deployment mechanism.

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Karion, A., C. Sweeney, S. Wolter, T. Newberger, H. Chen, A. Andrews, J. Kofler, D. Neff, and P. Tans. "Long-term greenhouse gas measurements from aircraft." Atmospheric Measurement Techniques Discussions 5, no. 5 (October 2, 2012): 7341–82. http://dx.doi.org/10.5194/amtd-5-7341-2012.

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Abstract. In March 2009 the NOAA/ESRL/GMD Carbon Cycle and Greenhouse Gases Group collaborated with the US Coast Guard (USCG) to establish the Alaska Coast Guard (ACG) sampling site, a unique addition to NOAA's atmospheric monitoring network. This collaboration takes advantage of USCG bi-weekly Arctic Domain Awareness (ADA) flights, conducted with Hercules C-130 aircraft from March to November each year. NOAA has installed window-replacement inlet plates on two USCG C-130 aircraft and deploys a pallet with NOAA instrumentation on each ADA flight. Flights typically last 8 h and cover a very large area, traveling from Kodiak, AK in the south up to Barrow, AK in the north, and making altitude profiles near the coast as well as in the interior. NOAA instrumentation on each flight includes: a flask sampling system, a continuous CO2/CH4/CO/H2O analyzer, a continuous ozone analyzer, and an ambient temperature and humidity sensor. GPS time and location from the aircraft's navigation system are also collected. Air samples collected in flight are analyzed at NOAA/ESRL for the major greenhouse gases and a variety of halocarbons and hydrocarbons that influence climate, stratospheric ozone, and air quality. Instruments on this aircraft are designed and deployed to be able to collect air samples and data autonomously, so that NOAA personnel visit the site only for installation at the beginning of each season. We present an assessment of the cavity ring-down spectroscopy (CRDS) CO2/CH4/CO/H2O analyzer performance operating on an aircraft over a three-year period. We describe the overall system for making accurate greenhouse gas measurements using a CRDS analyzer on an aircraft with minimal operator interaction. Short and long-term stability of the CRDS analyzer over a seven-month deployment period is better than 0.15 ppm, 2 ppb, and 5 ppb for CO2, CH4, CO respectively, considering differences of on-board reference tank measurements from a laboratory calibration performed prior to deployment. This stability is not affected by variation in pressure or temperature during flight. Biases and standard deviations of comparisons with flask samples suggest that atmospheric variability, flask-to-flask variability, and possible flask sampling biases may be driving biases in the comparison between flasks and in-situ CRDS measurements.

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Dissertations / Theses on the topic "Deployment of aircraft"

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Schauppner, Craig T. "Optimal aircraft carrier deployment scheduling." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA308066.

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Puntenney, Michael C. "Optimization models for military aircraft deployment." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27190.

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Amilitary aircraft deployment problem from the United States Transportation Command is modeled as a generalized transportation problem with side constraints and solved using a general purpose linear programming package. The model involves the assignment of military units and material to aircraft and th assignment of aircraft to missions in order to appraise the utility and to determine the assets required for preliminary military operation plans. A transformation of this model which aggregates variables relating to the early or late delivery of requirements is also described. A specialized algorithm which separates an instance of the model into subgroups of independent subproblems is also explored. Lastly, an integer rounding model is described which converts continious solutions to integer in order to facilitate implementation of the former models whith an existing post-solution processor. Excellent quality solutions are provided for problems involving nine routes, 80 movement requirements distributed across two cargo classes involving 200,000 short tons of freight, and 250 aircraft using four different aircraft types for each of 12 time periods. The problem, which has the potential of having over 10,000 variables, is reduced significantly using variable reduction and the aggregation transformation. The reduced problem requires approximately 1,000 variables and 300 constraints and solutions are obtainable in under 14 minutes using the General Algebraic Modeling System on an 80286-based personal computer

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Al, Fazari Hamdan. "Fuzzy quality function deployment for aircraft maintenance organizations." Toulouse, INSA, 2008. http://eprint.insa-toulouse.fr/archive/00000283/.

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In this thesis, Quality Function Deployment for aircraft maintenance organizations is considered. Assessment and evaluation of quality management in aircraft maintenance organizations is the key to ensure safety, reliability, and the assurance of quality. At present, companies around the world have an absolute need for quality management systems in order to help them to develop and manage better their activities. Improving the way in which organizations handle their organizational management plays a major role in raising the standard of the quality of the product or the quality of the service they deliver. The challenge of implementing quality approaches in the management of aircraft maintenance organizations is appealing since it is recognized to save time and money. As a result, the organization can become more efficient, more competitive in its domain and finally more profitable. Quality management is, therefore, an essential function for maintaining and improving the quality of the services and products provided by aircraft maintenance organizations. First necessary background and theoretical knowledge on aircraft maintenance organizations and quality management is presented in detail. This is achieved by performing an analysis of the needs and the means for improving quality in the maintenance activities. The proposed analysis approach is a combination of Quality Function Deployment, and Fuzzy Logic theory. The Quality Function Deployment is used as an analysis tool to translate the customer needs and requirements into service features. The Quality Function Deployment involves the construction of a matrix structure which allows the assessment and ranking of different course of action with respect to quality. Since many opinions from experts are expressed in linguistic terms it appeared that fuzzy logic could improve this analysis process. Then, the final part of the thesis is devoted to the development of a fuzzy quality function deployment. The proposed analysis approach is then illustrated in the case of aircraft maintenance organizations where the objective is to increase fleet availability, maintain aircraft reliability, decrease servicing time, and limit investment costs
Dans cette thèse, le déploiement de la fonction de la qualité pour l'organisation de l'entretien des avions est considérée. L'évaluation de la gestion de la qualité dans les organismes de maintenance des avions est la clé pour garantir la sécurité, la fiabilité et l'assurance de la qualité. De nos jours, les entreprises partout dans le monde ont un besoin absolu de systèmes, gestion de la qualité afin de les aider à développer et à mieux gérer leurs activités. La façon dont les organisations gèrent leurs gestions de l'organisation joue un rôle majeur dans l'amélioration du niveau de la qualité du produit ou la qualité du service qu'elles fournissent. Le défi de la mise en œuvre de la démarche qualité dans la gestion de la maintenance des avions est important car il doit conduire à des économies de temps et d'argent. La gestion de la qualité est, par conséquent, une fonction essentielle pour maintenir et améliorer la qualité des services et produits offerts par les organismes de maintenance des avions. Dans cette thèse les prés requis et connaissances théoriques sur l'organisation de la maintenance et la gestion de la qualité sont présentés en détail. Ceci est réalisé en effectuant une analyse des besoins et des moyens pour améliorer la qualité dans les activités d'entretien. L'approche d'analyse proposée est une combinaison du déploiement de la fonction de la qualité et de la Logique Floue. Le déploiement de la fonction de la qualité est utilisé comme un outil d'analyse pour traduire les besoins des clients et les besoins en qualité des services. Le déploiement de la fonction de la qualité comprend la construction d'une structure matricielle permettant d’évaluer et de comparer les différents plans d’action. Puisque de nombreuses opinions d'experts sont exprimées en termes linguistiques, il semble que la Logique Floue pourrait améliorer ce processus d'analyse. La dernière partie de cette thèse est consacrée à l'élaboration du déploiement de la fonction de la qualité dans le cadre de la Logique Floue. L'approche d'analyse proposée est ensuite illustrée dans le cas de l'organisation de l'entretien d’une flotte d’avions. L'objectif est d'augmenter la disponibilité de la flotte, de maintenir sa fiabilité, de diminuer le temps du service de maintenance, de limiter les coûts d'investissement

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Tan, Rendell Kheng Wah. "Quality functional deployment as a conceptual aircraft design tool." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378471.

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Thesis (M.S. in Aeronautical Engineering) Naval Postgraduate School, March 2000.
Thesis advisor(s): Newberry, Conrad F. "March 2000." Includes bibliographical references (p. 81-83). Also available online.

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Wowczuk, Zenovy S. "Design validation methodology development for an aircraft sensor deployment system." Morgantown, W. Va. : [West Virginia University Libraries], 2008. http://hdl.handle.net/10450/5657.

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Thesis (Ph. D.)--West Virginia University, 2008.
Title from document title page. Document formatted into pages; contains xv, 294 p. : ill. (some col.). Includes abstract. Includes bibliographical references.

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Baker, Alex Clarence. "Job Satisfaction on the U.S.S. John F. Kennedy: The Impact on First Term Sailors' Decisions to Leave the U.S. Navy." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/1036.

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The retention of sailors is paramount to the viability of the United States Navy. While numerous aspects, including pay, benefits, family issues, etc., factor into the decision of each sailor to leave the Navy, job satisfaction is one of the most important. This study examines the extent job satisfaction played in sailors' decisions to leave after their initial enlistment. The Navy's own survey instrument was utilized to gather the data from sailors who were separating from the U.S.S. John F. Kennedy (CV-67) at the end of their first enlistment contract. The survey questions were broken down into three general areas: Job Satisfaction, Pay and Benefits, and Quality of Life, to measure the level of satisfaction within each of these areas. The relationship between gender, martial status and ethnic group were key components in analyzing each of the key areas. The results of these findings are reviewed and discussed.

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Ayik, Mehmet. "Optimal long-term aircraft carrier deployment planning with synchronous depot level maintenance scheduling." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA344513.

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Dolloff, Scott C. "Post deployment software support of the U.S. Army's Special Operations Aircraft : a software acquisition management case study /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA306234.

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Thesis (M.S. in Management) Naval Postgraduate School, December 1995.
Thesis advisor(s): Martin J. McCaffrey, W. Max Woods. "December 1995." Includes bibliographical references. Also available online.

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Christensen, Carsten Douglas. "An Agent-Based Decision Support Framework for sUAS Deployment in Small Infantry Units." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8525.

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Small unmanned aircraft systems (sUAS) will become a disruptive force on the modern battlefield. In recent years, sUAS size and cost have decreased while their capability has increased. They have forced a reconsideration of the air superiority paradigm held since the First World War. Perhaps their most attractive, and worrisome, feature is the huge range of combat roles that they might fulfill. The presence of sUAS on future battlefields is certain, but the role they will play and their impact on those battlefields are not. This work presents a decision support framework for sUAS deployment in small infantry units. The framework is designed to explore and evaluate multiple sUAS-small-unit deployment concepts' impact on small unit effectiveness in a combat scenario of interest. The framework helps decision makers identify high-level sUAS deployment principles for testing and validation in physical experiments before sUAS are implemented on the battlefield. The decision support framework comprises the following: 1) a definition of the sUAS-small-unit deployment concept design space and combat scenario, 2) an agent-based computer model for exploring sUAS deployment concepts, 3) a set of analysis tools for evaluating sUAS deployment impact on combat effectiveness, and 4) suggestions for synthesizing high-level sUAS deployment principles from the analysis. In this work, the decision support framework for sUAS-small-unit deployment is used to explore and evaluate the impact of deploying an infantry platoon with between one and nine unmanned aerial vehicles (UAV) operating in a reconnaissance role while executing one of several sUAS patrol pattern variants. In a scenario in which a defending platoon uses sUAS to intercept and aid in indirect fires targeting against a platoon of attacking infantry, the sUAS were shown to markedly improve the defending platoon's combat effectiveness. The framework is used to synthesize several key principles for sUAS deployment in the scenario. It shows that, when fewer UAVs are deployed, short-range sUAS patrols improve defender combat effectiveness. Conversely, when more UAVs are deployed, long-range sUAS patrols improve the defenders' ability to target attacking units with indirect fires, increasing the firepower concentrated against opponents. The analysis also shows that increasing the number of deployed UAVs improves the likelihood of defending warfighters surviving the engagement and the defenders' ability to detect and engage the attackers with indirect fires. Finally, the framework shows that sUAS can force alterations in attacker behavior, removing them from combat by non-violent, but highly effective, means.

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Hacker, Earl W. "One-year UDP: a cost/benefit analysis of a proposed alternative to the Marine Corps' Unit Deployment Program for fighter aviation." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23337.

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Approved for public release; distribution is unlimited
The author examines the incremental costs and benefits associated with a change from six-month unit deployments to one-year unit deployments. The analysis is based primarily on five fighter squadrons participating in the Marine Corps' Unit Deployment Program and takes in the period July 1976 to October 1988. Regression analysis is used to project transportation cost savings of $4 million in real terms from FY 1989 through FY 1993. With a change to a one-year Unit Deployment Program, fighter squadrons should experience net increases in aircraft readiness, aircrew training readiness, and personnel retention.
http://archive.org/details/oneyearudpcostbe00hack
Lieutenant Colonel, United States Marine Corps

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Books on the topic "Deployment of aircraft"

1

Schauppner, Craig T. Optimal aircraft carrier deployment scheduling. Monterey, Calif: Naval Postgraduate School, 1996.

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Puntenney, Michael C. Optimization models for military aircraft deployment. Monterey, California: Naval Postgraduate School, 1989.

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Austin, Reg. Unmanned aircraft systems: UAVs design, development and deployment. Reston, Va: American Institute of Aeronautics and Astronautics, 2010.

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Austin, Reg. Unmanned aircraft systems: UAVs design, development, and deployment. Reston, Va: American Institue of Aeronautics and Astronautics, 2010.

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Tan, Rendell Kheng Wah. Quality functional deployment as a conceptual aircraft design tool. Monterey, Calif: Naval Postgraduate School, 2000.

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Austin, Reg. Unmanned air vehicles: UAV design, development, and deployment. Chichester, West Sussex, U.K: Wiley, 2010.

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Ayik, Mehmet. Optimal long-term aircraft carrier deployment planning with synchronous depot level maintenance scheduling. Monterey, Calif: Naval Postgraduate School, 1998.

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April-, Chen Zili 1965, Dong Hairui, and Jiang Tao active 2013, eds. Wu ren ji xi tong: She ji kai fa yu ying yong = Unmanned aircraft systems : UAVS design, development and deployment. Beijing: Guo fang gong ye chu ban she, 2013.

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Board, United States National Transportation Safety. Inadvertent in-flight slat deployment: China Eastern Airlines flight 583, McDonnell Douglas MD-11, B-2171, 950 nautical miles south of Shemya, Alaska April 6, 1993. Washington, D.C: The Board, 1994.

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United States. National Transportation Safety Board. Inadvertent in-flight slat deployment: China Eastern Airlines flight 583, McDonnell Douglas MD-11, B-2171, 950 nautical miles south of Shemya, Alaska April 6, 1993. Washington, D.C: The Board, 1994.

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Book chapters on the topic "Deployment of aircraft"

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Wang, Rui, Chengrui Bai, Lei Gao, and Hui Sun. "A 3-D Deployment and Coverage Algorithm for Aircraft Cargo." In Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 1335–43. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_125.

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Harris, Michael J., and Richard E. Christenson. "Experimental Test of Spacecraft Parachute Deployment using Real-Time Hybrid Substructuring." In Sensors and Instrumentation, Aircraft/Aerospace and Energy Harvesting , Volume 8, 67–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74642-5_8.

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"UAV System Deployment." In Unmanned Aircraft Systems, 249–52. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470664797.ch22.

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Ledwidge, Frank. "2. Beginnings." In Aerial Warfare: A Very Short Introduction, 18–29. Oxford University Press, 2020. http://dx.doi.org/10.1093/actrade/9780198804314.003.0002.

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Once powered aircraft had taken to the air in the early 20th century, it did not take long for their potential as a military instrument to be realized. The First World War demonstrated that aeroplanes would indeed be war machines, and very formidable ones. ‘Beginnings: the First World War 1914–1918’ explains that whilst it was never a decisive arm on any WW1 front, all the elements of aircraft’s future deployment were present with the exception of its mobility potential. By the end of the war, the combatant nations had thousands of aircraft in their inventories with their attendant administrative and logistical structures. The world’s first independent air arm, the Royal Air Force, had been formed.

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Udoewa, Victor, Ryan Keedy, Tomoyasu Nonoshita, Tayfun Tezduyar, Keith Stein, and Andrew Johnson. "Aerodynamic simulation of an object separating from an aircraft during initial deployment." In Computational Fluid and Solid Mechanics, 1004–7. Elsevier, 2001. http://dx.doi.org/10.1016/b978-008043944-0/50825-8.

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Mavhunga, Clapperton Chakanetsa. "Bombing Flies." In The Mobile Workshop, 223–46. The MIT Press, 2018. http://dx.doi.org/10.7551/mitpress/9780262535021.003.0012.

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This chapter explores the use of aircraft to spray organochlorine pesticides (OCPs). It begins by tracing the origins of the practice in KwaZulu, South Africa, where ndege were adopted for pesticide spraying because of their ease of use, capacity for large-scale coverage, very few personnel required, and capability to reach mpukane habitats otherwise inaccessible by ground spraying. The second section examines the technical aspects of aerial spraying as an example of the extension of methods designed in the United States for agricultural or military purposes to deal with zvipukanana and with conditions for which they were not originally designed. In the final sections, the deployment and performance of first fixed-wing aircraft and then helicopters are closely examined.

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S. Jigajinni, Vijaylakshmi. "Health Monitoring of an Aircraft Fuel System Using Artificial Intelligence Techniques." In Fuzzy Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99665.

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Aircraft is a non-linear complex system and is need of regular monitoring. Integrated Vehicle Health Management (IVHM) is a process of health management paradigm, which involves system parameter monitoring, assessment of current, future conditions through diagnostic and prognostic approaches by providing required maintenance activities. Deployment of diagnostic, prognostic and health management processes enable to improve the system reliability and reduces the operating cost of the aircraft. Health monitoring and management plays a vibrant role in safe operation and maintenance of aircraft. Soft computing methodologies such as Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to estimate the health status of fuel system by developing model of a typical pump feed, twin-engine, four-tank small aircraft fuel system using Simulink in the laboratory environment. The controller is designed to generate the signals of the fuel tanks based on the fuel requirement of the engine. The ANFIS based management system helps to detect the faults existing in the fuel system and diagnose those faults using the expert’s logical rules. During a fault ailment, the controller’s performance is evaluated. The efficacy of this intelligent controller is verified with the present fuel control system and ANN controller.

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Yixiang Lim, Alessandro Gardi, and Roberto Sabatini. "UAS human factors and human–machine interface design." In Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications, 23–48. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbce120g_ch2.

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"Front Matter." In Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbce120g_fm.

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"Back Matter." In Imaging and Sensing for Unmanned Aircraft Systems: Volume 2: Deployment and Applications. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbce120g_bm.

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Conference papers on the topic "Deployment of aircraft"

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Zamani, Alireza, Fabien Geyer, Alexandros Elefsiniotis, and Anke Schmeink. "Aircraft network deployment optimization with k-survivability." In 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 2017. http://dx.doi.org/10.1109/ants.2017.8384192.

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Nettis, L., F. De Bellis, A. Javed, G. Doulgeris, S. O. T. Ogaji, and P. Pilidis. "Novel Cycles Deployment Study for a Silent Aircraft." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-50949.

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Aircraft noise is nowadays considered a pollutant like exhaust gases. Moreover, future requirements for aircraft certification impose a remarkable reduction in noise emission in the next 20 years. Since current technologies are insufficient to achieve the target, new technologies have to be developed, both for engines and airframes. In this paper, three novel engine cycles have been studied from a preliminary and theoretical point of view, considering noise and fuel consumption reduction as key design drivers. The innovative cycles analysed are: Variable Fan Nozzle Area (VFNA), Constant Volume Combustor (CVC) and Inter Cooled Recuperated (ICR). A parametric analysis has been performed for each one of them in order to select the best cycle; then, the three optimums have been compared. The designed VFNA engine provides the largest reduction in jet noise (64%) in comparison to the baseline, whilst the CVC has the lowest fuel consumption. However, both use two fans per engine, with weight and drag penalties. A further noise reduction is obtained installing the engines upon the wings, and not beneath them as in conventional designs. Obtained results show that noise shielding technique is responsible for a 20 dB decrease in OASPL, leading to a noise level, perceived on the ground, lower than 60 dB. This value implies a full satisfaction of the new environmental laws. Finally, the three propulsion systems have been installed on a medium range, twin engine aircraft and its flight performance has been evaluated. Simulations establish the superiority of the novel cycles against the baseline, in terms of reduced fuel consumption for the given mission.

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Liu, Lantao, and Nathan Michael. "Energy-aware aerial vehicle deployment via bipartite graph matching." In 2014 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2014. http://dx.doi.org/10.1109/icuas.2014.6842255.

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Chevet, Thomas, Cristina Stoica Maniu, Cristina Vlad, and Youmin Zhang. "Voronoi-based UAVs Formation Deployment and Reconfiguration using MPC Techniques." In 2018 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2018. http://dx.doi.org/10.1109/icuas.2018.8453342.

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Vacek, Lukas, Edward Atter, Pedro Rizo, Brian Nam, Ryan Kortvelesy, Delaney Kaufman, Jnaneshwar Das, and Vijay Kumar. "sUAS for deployment and recovery of an environmental sensor probe." In 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991484.

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Carroll, Sabrina, Michail Kalaitzakis, and Nikolaos Vitzilaios. "UAS Sensor Deployment and Retrieval to the Underside of Structures." In 2021 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2021. http://dx.doi.org/10.1109/icuas51884.2021.9476737.

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Ukai, Takaya, Hsun Chao, and Daniel A. DeLaurentis. "An Aircraft Deployment Prediction Model Using Machine Learning Techniques." In 17th AIAA Aviation Technology, Integration, and Operations Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3081.

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Fu, Wei, Xiaodong Gu, and Yuanyuan Wang. "Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4370978.

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Schwochow, J., J. Sinske, and R. Buchbach. "9.5 - Inflight-Measurements of Aircraft Undercarriage Vibration during Deployment." In ettc2018 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2018. http://dx.doi.org/10.5162/ettc2018/9.5.

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Saska, Martin, Jan Chudoba, Libor Precil, Justin Thomas, Giuseppe Loianno, Adam Tresnak, Vojtech Vonasek, and Vijay Kumar. "Autonomous deployment of swarms of micro-aerial vehicles in cooperative surveillance." In 2014 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2014. http://dx.doi.org/10.1109/icuas.2014.6842301.

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Reports on the topic "Deployment of aircraft"

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Oliver, III, and James D. Changing the Peacetime Deployment of Aircraft Carriers. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada265373.

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Atkinson, Scott R. Civilian-Military Differences on Soviet Aircraft Carrier Deployment. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada230644.

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Niiler, Peter, and W. K. Melville. A Compact Meteorlogical Water-following (MET) Drifter for Aircraft Deployment. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada628413.

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Doo, Johnny. Unsettled Issues Concerning the Opportunities and Challenges of eVTOL Applications during a Global Pandemic. SAE International, October 2020. http://dx.doi.org/10.4271/epr2020022.

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Electric vertical takeoff and landing (eVTOL) aircraft technology has developed beyond the traditional aviation industry and now influences the creation of new and novel transportation applications. Some experts even suggest on-demand eVTOL logistics capabilities could be harnessed by crisis response teams to c ombat a future pandemic. The lessons of the COVID-19 crisis highlighted the challenges of managing a global pandemic response due to the difference in regional and local resources, culture, and political systems. Although there may not be a uniform crisis management strategy that the world can agree on, next-generation vertical flight vehicles could be used to distribute limited medical equipment, supplies, and personnel to hot spots faster than conventional aircraft or ground vehicles. However, creating this capability is not easy. This SAE EDGE™ Research Report by Johnny Doo addresses the opportunities and challenges of establishing an eVTOL fleet, including deployment, supporting infrastructure, and fleet management.

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Job, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286703.

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In 2015, the Natural Sounds and Night Skies Division (NSNSD) received a request to collect baseline acoustical data at Mesa Verde National Park (MEVE). Between July and August 2015, as well as February and March 2016, three acoustical monitoring systems were deployed throughout the park, however one site (MEVE002) stopped recording after a couple days during the summer due to wildlife interference. The goal of the study was to establish a baseline soundscape inventory of backcountry and frontcountry sites within the park. This inventory will be used to establish indicators and thresholds of soundscape quality that will support the park and NSNSD in developing a comprehensive approach to protecting the acoustic environment through soundscape management planning. Additionally, results of this study will help the park identify major sources of noise within the park, as well as provide a baseline understanding of the acoustical environment as a whole for use in potential future comparative studies. In this deployment, sound pressure level (SPL) was measured continuously every second by a calibrated sound level meter. Other equipment included an anemometer to collect wind speed and a digital audio recorder collecting continuous recordings to document sound sources. In this document, “sound pressure level” refers to broadband (12.5 Hz–20 kHz), A-weighted, 1-second time averaged sound level (LAeq, 1s), and hereafter referred to as “sound level.” Sound levels are measured on a logarithmic scale relative to the reference sound pressure for atmospheric sources, 20 μPa. The logarithmic scale is a useful way to express the wide range of sound pressures perceived by the human ear. Sound levels are reported in decibels (dB). A-weighting is applied to sound levels in order to account for the response of the human ear (Harris, 1998). To approximate human hearing sensitivity, A-weighting discounts sounds below 1 kHz and above 6 kHz. Trained technicians calculated time audible metrics after monitoring was complete. See Methods section for protocol details, equipment specifications, and metric calculations. Median existing (LA50) and natural ambient (LAnat) metrics are also reported for daytime (7:00–19:00) and nighttime (19:00–7:00). Prominent noise sources at the two backcountry sites (MEVE001 and MEVE002) included vehicles and aircraft, while building and vehicle predominated at the frontcountry site (MEVE003). Table 1 displays time audible values for each of these noise sources during the monitoring period, as well as ambient sound levels. In determining the current conditions of an acoustical environment, it is informative to examine how often sound levels exceed certain values. Table 2 reports the percent of time that measured levels at the three monitoring locations were above four key values.

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