• Journal of Information Processing Systems
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• v.16 no.4
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• pp.795-808
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• 2020

Due to the poor evaluation indexes such as detection accuracy and recall rate when Yolov3 network detects aircraft in remote sensing images, in this paper, we propose a remote sensing image aircraft detection method based on machine vision. In order to improve the target detection effect, the Inception module was introduced into the Yolov3 network structure, and then the data set was cluster analyzed using the k-means algorithm. In order to obtain the best aircraft detection model, on the basis of our proposed method, we adjusted the network parameters in the pre-training model and improved the resolution of the input image. Finally, our method adopted multi-scale training model. In this paper, we used remote sensing aircraft dataset of RSOD-Dataset to do experiments, and finally proved that our method improved some evaluation indicators. The experiment of this paper proves that our method also has good detection and recognition ability in other ground objects.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.2
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• pp.101-104
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• 2013

The actual aircraft flight training can be done, but falls pilots primary flight training skills to the many risks and costs are formidable. It also requires considerable skill to follow at a higher risk of flight training is the same. These things through software simulation training can reduce the risk and cost of the expected risk situations such as virtual reality development and has the advantage that you can try. In this paper, the characteristics and actual aircraft flight dynamics of the considered armed ballistics software platform for game development by designing a student wants to become a pilot in the aircraft is to help you understand.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.1021-1023
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• 2013

Currently, aircraft and automobile simulator for training provides a variety of training by making hypothetical situation on a simulator Installed on the ground Currently. And the instructor maximizes the effectiveness of the training by Monitoring training and instructing the required training. When trainees are boarding the aircraft or automobile. The Instructor in the ground is not able to monitoring aircraft, automobile. The assessment of the training is not easy after the end of the training Therefore, it is difficult to provide high quality of education to the students. In this paper, Simulation software is to develop the following. Collecting GPS and real-time information for aircraft, automobile ${\grave{a}}implementing$ 3D simulation. Implementing Current image of the aircraft or automobile in the screen by 3D Real-time monitoring of training situation at the control center utilizing for training saving 3D video files Analysis, evaluation on training After the end of the training.

• International Journal of Aerospace System Engineering
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• v.5 no.1
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• pp.9-18
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• 2018

The longitudinal flight parameters of a light airplane are estimated from flight test data by use of the output error method. The reliability of the flight test measurement is examined in engineering judgment, scatter and Cramer-Rao bound, which turns out to be satisfactory with minor defects. Estimated parameter values are validated by comparing the simulated responses with the ones from actual flight tests. The FTD(Flight Training Device) of a light airplane turns out to satisfy the qualification of FAA Level 5 FTD in longitudinal motion. All the necessary practices for generation of high-fidelity data in longitudinal motion of a light aircraft are successfully performed in this study.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.1
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• pp.66-74
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• 2020

With the development of the aviation industry in Korea, the number of aircrafts has increased every year. About 10 flight departments have been established at domestic universities, and flight training is conducted until the course of commercial pilot certificate. In addition, private aviation institutes using Muan airport as a base have also increased, and the number of training aircrafts in the eastern and western regions of Jeonnam region has increased dramatically. Along with an increase in the number of training aircrafts, aviation accidents have also increased. From April 2018 to September 2019, 11 accidents occurred at Muan airport and Yeosu airport. This study aims to develop a pre-flight safety protocol to promote flight training safety. Three aspects-including technical factors, human factors, and organizational factors-were considered in this study.

• Journal of Korea Society of Industrial Information Systems
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• v.2 no.1
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• pp.73-87
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• 1997

Multilayer neural network using a modified beackpropagation learning algorithm was introduced to achieve automatic identification of different types of aircraft in a variety of 3-D orientations. A 3-D shape of an aircraft can be described by a library of 2-D images corresponding to the projected views of an aircraft. From each 2-D binary aircraft image we extracted 2-D invariant (L, Φ) feature vector to be used for training neural network aircraft classifier. Simulations concerning the neural network classification rate was compared using nearest-neighbor classfier (NNC) which has been widely served as a performance benchmark. And we also introduced reliability measure of the designed neural network classifier.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.141-146
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• 2019

The aircraft noise analysis area in this study is a training airfield where various kinds of aircraft are operated. It is difficult to identify the noise analysis as a real measurement in a training airfield. In order to overcome these practical limitations and to establish appropriate noise countermeasures, a noise map is prepared using the Integrated Noise Model Version 7.0 of the aircraft noise prediction program used by the FAA. The noise of C90GT aircraft was measured while flying the takeoff route, landing route, and long route. We want to identify areas where noise damage is more than 70 WECPNL. No area exceeding the legal standard of 70 WECPNL was found in all routes.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.249-260
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• 2022

Student pilots receiving flight education are inexperienced in piloting and situation judgment skills and are greatly affected by various factors such as psychological, physical, and environmental factors. In particular, one of the most influential factors in the flight education of student pilots is the weather conditions. Unlike large aircraft used in the air transportation business, small aircraft used for flight education have a great impact on education, such as flight restrictions depending on weather conditions, psychological pressure in severe weather, and deterioration of student skills. Therefore, in this study, the meteorological characteristics of meteorological factors that have a great influence on small aircraft were analyzed. As a result of the analysis, an efficient and safe training operation method was suggested to a professional pilot aviation training organization through the adjustment of the training period for the season, the increase in aircraft operation rate, and a safe solo flight plan considering the weather.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.21 no.1
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• pp.74-79
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• 2013

Early remotely-piloted aircraft system (RPAS) development focused on simple reconnaissance to obtain information by visual observation for military demands. Currently, various types of remotely-piloted aircraft (RPA) is being developed worldwide for applications in many different areas. As RPA avionics are combined with CNS/ATM technologies, RPA capabilities will be enhanced and the market is expected to grow rapidly. ICAO has been held the Air Navigation Commission on 14 October 2011 to discuss revising Procedures for air navigation services (PANS) and guidance material related to RPA and their associated systems. It progressed that Annex 2 and 7 will be revised and came into effect from 2012. However most of incorporate revisions are not clear yet. Because the revision articles recommend follow requirements of the state(s). Considering operations of RPA in controlled airspace and between adjacent states, the qualification and training of RPA pilot will be one of the main issues for RPA operation. In this paper, we will take a look at international and domestic trends of regulation framework in ICAO and RPA advanced country in chapter 2.1 and suggest about consideration of remote pilot qualification and training for establishing regulations of remote pilot license.

• Journal of Aerospace System Engineering
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• v.7 no.3
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• pp.45-50
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• 2013

This is a research report about the method of how to maintain qualification of certification flight test crews. KCA(Korea Certification Agency) have completed the KC-100 airplane certification flight tests which is the first time experienced flight tests operation. After the certification flight test, it has been found that annual flying time requirement of 100 hours to the certification flight test pilot is too strict, and other several requirements to maintain the qualification of the certification test crew such as aircraft certification introduction training, initial flight test pilot and flight test engineer certification training, crew resource management training, aviation physiology training, and survival training was difficult to implement in Korean civil aviation environments. In this study, it was suggested that 30 hours of flying time for maintaining certification flight test pilot qualification could be applied to contribute for safe operation of certification flight test and the other training requirements of the certification flight test crew could be fulfilled using self made training courses, existing FAA training courses and Korean Air Force training resources. Therefore, it is recommended that the regulation of maintaining the certification flight test crew qualification should be refined to implement the requirement practically.