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This thesis deals with the potential application of neural network technology to aviation fuel consumption estimation. This is achieved by developing neural networks representative jet aircraft. Fuel consumption information obtained directly from the pilot's flight manual was trained by the neural network. The trained network was able to accurately and efficiently estimate fuel consumption of an aircraft for a given mission. Statistical analysis was conducted to test the reliability of this model for all segments of flight. Since the neural network model does not require any wind tunnel testing nor extensive aircraft analysis, compared to existing models used in aviation simulation programs, this model shows good potential. The design of the model is described in depth, and the MATLAB source code are included in appendices. / Master of Science

This research involves the development of an aircraft fuel consumption model to simplify Bela Collins of the MITRE Corporation aircraft fuelburn model in terms of level of computation and level of capability. MATLAB and its accompanying Neural Network Toolbox, has been applied to data from the base model to predict fuel consumption. The approach to the base model and neural network is detailed in this paper. It derives from the basic concepts of energy balance. Multivariate curve fitting techniques used in conjunction with aircraft performance data derive the aircraft specific constants. Aircraft performance limits are represented by empirical relationships that also utilize aircraft specific constants. It is based on generally known assumptions and approximations for commercial jet operations. It will simulate fuel consumption by adaptation of a specific aircraft using constants that represent the relationship of lift-to-drag and thrust-to-fuel flow. The neural network model invokes the output from MITRE1s algorithm and provides: (1) a comparison to the polynomial fuelburn function in the fuelburn post- processor of the FAA Airport and Airspace Simulation Model (SIMMOD), (2) an established sensitivity of system performance for a range of variables that effect fuel consumption, (3) a comparison of post fuel burn (fuel consumption algorithms) techniques to new techniques, and (4) the development of a trained demo neural network. With the powerful features of optimization, graphics, and hierarchical modeling, the MATLAB toolboxes proved to be effective in this modeling process. / Master of Science

The volume of cargo and passenger traffic of airlines is increasing in Kaohsiung International Airport in the recent years. Due to the rise of environmental consciousness, the aviation noise pollution will lead to public disputes. The transportation bureaus have granted subsidies and compensation on noise prevention in areas around the airport, the subjects are aviation noise prevention zones announced by local governments. Therefore, the classification of aviation noise prevention zone determines the receipt of subsidies and compensation, thus, is concerned by the residents lived in the airport neighboring areas. This study focused on Kaohsiung International Airport, and used the aviation movement data of 2005 as the standard for noise integration model simulation, to understand the variation of the aviation noise in day time and night time under different synarios , as well as the effects on the scope of noise prevention zones. Take Project 1 ( annulling curfew) as an example, the INM simulation of day time and night time aviation noise under various synarios showed that the aviation noise prevention zone of the first scale expanded 10.18 km² as compared to the year of 2005, 4.57 km² for the second scale,and 1.99 km² for the third scale. The estimated Ldn in the target year of 2121 were as follows: the noise volume for susceptible objects of east 27 runway increased 4.7¡ã5.3dB(A), objects near the west side 09 runway increased 3.1dB(A), and objects near the south and north sides increased 3.3~4.8dB(A). In general, the affected area of Project 1 (annulling curfew) ranks the largest, Project 2 (maintaining curfew) the second, and Project 3 (not lengthening the runway) the smallest. As for the affected scale of the aviation noise, KueLing Elementary School and KaoFung Junior College ranked the highest, ZhongZho Elementary School the second, diesel station the lowest. Yet, the actual aviation noise should refer to the results of the noise monitoring station.

This study deals with the international civil aviation safety purely in the sense of,,security" which means protection against acts of unlawful interference against civil aviation. The thesis is composed of ten chapters. Chapter two is introductory and defines basic notions as aircraft piracy or aviation terrorism. Chapter three characterises main forms of acts of unlawful interference against civil aviation as they were regarded in the past as well as in nowadays. Chapter four is concerned with legal sources of the International Aviation Law. Chapter five describes origins of the international repressive system and provides interpretation of the most important international antiterrorism conventions. Chapter six focuses on the exercise of juridiction and extradition under the Tokyo Convention from 1963, the Hague Convention from 1970 and the Montreal Convention from 1971. The classification of unlawful acts against the civil aviation based on the responsibility for such acts is the object of the chapter seven.Chapter eight is the overview of safety standards and recommendations which have been made by international organizations. Chapter nine is talking about the preventive system of the aviation and contains two parts. First part speaks about its general principles and second part is dealing with the...

Modern information systems require a flexible, scalable, and upgradeable infrastructure that allows communication and collaboration between heterogeneous information processing and computing environments. Aviation systems from different organizations often use differing representations and distribution policies for the same data and messages, limiting interoperability and collaboration. Although this problem is conceptually straightforward, information exchange is error prone, often dramatically underestimated, and unexpectedly complex. In the air traffic domain, complexity is often the result of the many different uncoordinated information processing environments that are used. The complexity and variation in information processing environments results in a barrier between domain practitioners and the engineers that build the information systems. These divisions have contributed to development challenges on high profile systems such as the FAA's Advanced Automation System and the FBI's Virtual Case File. Operationally, difficulties in sharing information have contributed to significant coordination challenges between organizations. These coordination problems are evident in events such as the response to Hurricane Katrina, the October 2009 Northwest Airlines flight that overflew its scheduled destination by more than 100 miles, and other incidents requiring coordination between multiple organizations. To address interoperability in the aviation domain, a prototype Domain-Specific Language (DSL) for aviation data, an aviation metadata repository, and a data generation capability was designed and implemented. These elements provide the capability to specify and generate data for use in the aviation domain. The DSL was designed to allow the domain practitioner to participate in dynamic information exchange without being burdened by the complexities of information technology and organizational policy. The DSL provides the capability to specify and generate information system usable representations of aviation data. Data is generated according to the representational details stored in the aviation metadata repository. The combination of DSL, aviation metadata repository, and data generation provide the capability for aviation systems to interoperate, enabling collaboration, information sharing, and coordination.

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Naval Aviation has been known for over half a century as being one of the most fascinating professions. Although aircrew may always play a role in the mishap rate, the Navy has shifted its focus to aviation maintenance safety climate as a possible indicator of a future mishap. The School of Aviation Safety developed and implemented a survey, the Maintenance Climate Assessment Survey (MCAS), to assess the safety climate of Naval Aviation squadrons. Researchers have begun reviewing the possible direct relationship between the maintainer, how they view their squadron's climate and aviation mishaps. This thesis examines the construct of squadron maintenance safety climate survey and its relationship to aviation mishaps. The raw data employed includes MCAS responses from 126,058 maintainers between August 2000 and August 2005. This study finds that the MCAS survey construction needs to be revised. The findings are substantial to verify that most questions are formulated to focus on the same factor. Since the survey requires reconstruction, the question of whether it can determine the likelihood of mishaps was never visited. Revising the survey, based on psychometrics, may produce more significant results and gauge maintenance safety climate based on separate and distinct factors.

The diploma thesis deals with the development of an ESP (English for specific purpose) course for aviation English. The theoretical part introduces the methodology for ESP course development, the demands on the teacher and other specifics associated with ESP; the practical part focuses on the contents of the course and its evaluation based on the feedback provided by the teacher and the students. In the conclusion the results of the feedback are discussed and the possible solutions suggested.