• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.2
• /
• pp.13-18
• /
• 2018

Drones are controlled by the remote pilot from the ground stations using the radio control or autonomously following the pre-programmed flight plans. In this paper, we develop a method and an optimal path search system for providing 3D augmented reality flight (ARF) images for safe and efficient flight control of drones. The developed system consisted of the drone, the ground station and user terminals, and the optimal path search server. We use the Dijkstra algorithm to find the optimal path considering the drone information, flight information, environmental information, and flight mission. We generate a 3D augmented reality flight (ARF) image overlaid with the path information as well as the drone information and the flight information on the flight image received from the drone. The ARF image for adjusting the drone is generated by overlaying route information, drone information, flight information, and the like on the image captured by the drone.

• The Journal of Information Systems
• /
• v.31 no.3
• /
• pp.177-195
• /
• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.3
• /
• pp.115-121
• /
• 2011

The flight information visualization of the aircraft is the system which is widely used to the threat against low altitude tasks and terrain altitude. But, it is difficult to implement the system because of restrictions that GPS data and huge geographic information should be stored. In this paper, it proposes economic DMM (Digital Moving Map) system for flight information visualization from open-source-base. First, the flight information is transferred from X-Plane through UDP and then demonstrated on the DMM system. In the proposed DMM system, flight information is visualized on the map information downloaded from an ArcGIS Map server using the mapping data between the present altitude of the aircraft and the terrain altitude. The result of this paper could be used an economic tool in the field of flight information visualization and the game algorithm research.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.4
• /
• pp.221-230
• /
• 2008

We Studied current Flight Information System everyone employing, and this paper designed a next generation Ubiquitous Flight Information System. Studied a Ubiquitous Flight Information System regarding AVOD, game TV, cellular phone, cabin Internet use for a customer, and airline and control of Air Traffic Service, Air Traffic Control, in seat reservation, transportation, ticketing and luggage back-tracking and airplanes in earthly service. We Designed for a Next Generation Ubiquitous Flight Information System and for necessary for network security, system security of information security system, and derived from comparative analysis of improvement point and difference to existing Ubiquitous Flight Information System and Next Generation Ubiquitous Flight Information as was based on result of research. Present vision to aerial the result of research world of this paper related industry, and ensure safety and communication efficiency and a customer and flight satisfaction, efficiency, and will reclaim the new horizon to the Flight Information Industry.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.8
• /
• pp.29-35
• /
• 2019

This paper proposes a UAV equipped with an automatic control system for educational purposes such as navigation flight or autonomous flight. The proposed UAV is capable of automatic navigation flight and it is possible to control more precisely and delicately than existing UAV which is directly controlled. And it has the advantage that it is possible to fly in a place out of sight. In addition, the user may arbitrarily change the route or route information to use it as an educational purpose for achieving the special purpose. It also allows you to check flight status by shooting a video during flight. For this purpose, it is designed to check the image in real time using 5.8GHz video transmitter and receiver. The flight information is recorded separately and used as data to judge the normal flight after the flight. The result of the paper can be flighted along the coordinates specified using GPS information. Since it can receive real-time video, it is expected to be used for various education purposes such as reconnaissance of polluted area, achievement of special purpose, and so on.

• Aerospace Engineering and Technology
• /
• v.12 no.1
• /
• pp.182-188
• /
• 2013

This paper described flight safety center, flight safety information system(FSIS) and flight safety officer's mission and training in sequence and presented analysis's results and data processed in real-time during KSLV-I 3rd flight test. During flight safety center's operation for the 3rd flight test, monitoring of KSLV-I flight status was normally performed and the algorithms for flight safety calculations including the one for instantaneous impact point computations are also executed normally.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.10
• /
• pp.79-86
• /
• 2010

This paper presents implementation of a system for effective visualizing flight information of aircraft using Google Earth. This system in order to use a detailed satellite image which provide from Google Earth used COM API. This system appeared the various flight information of the aircraft in the instrument panel using OpenGL and the aircraft flight condition is visible in the Google Earth Map. This research result used to flight evaluation and improvement. In future will be able to apply to flight software development.

• Journal of Institute of Control, Robotics and Systems
• /
• v.22 no.9
• /
• pp.759-765
• /
• 2016

This paper presents the principle, dynamics modeling and control, hardware implementation, and flight test result of a hybrid-type unmanned aerial vehicle (UAV). The proposed UAV was designed to provide both hovering and fixed-wing type aerodynamic flight modes. The UAV's flight mode transition was achieved through the attitude transformation in pitch axis, which avoids a complex rotor tilt mechanism from a structural and control viewpoint. To achieve this, a different navigation coordinate was introduced that avoids the gimbal lock in pitch singularity point. Attitude and guidance control algorithms were developed for the flight control system. For flight test purposes, a quadrotor attached with a tailless fixed-wing structure was manufactured. An onboard flight control computer was designed to realize the navigation and control algorithms and the UAV's performance was verified through the outdoor flight tests.

• Journal of Korea Multimedia Society
• /
• v.24 no.11
• /
• pp.1538-1551
• /
• 2021

The current drone flight plan creation creates a flight path point of two-dimensional coordinates on the map and sets an arbitrary altitude value considering the altitude of the terrain and the possible flight altitude. If the created flight path is a simple terrain such as a mountain or field, or if the user is familiar with the terrain, setting the flight altitude will not be difficult. However, for drone flight in a city where buildings are dense, a safer and more precise flight path generation method is needed. In this study, using high-precision spatial information, we construct a drone safety flight map with a 3D grid map structure and propose a flight path search algorithm based on it. The safety of the flight path is checked through the virtual drone flight simulation extracted by searching for the flight path based on the 3D grid map created by setting weights on the properties of obstacles and terrain such as buildings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.785-788
• /
• 2009

The flight data processing system is the system which processes and manages all flight related data for the aircraft control and performs the trajectory modeling. It takes charge of the role of performing the core function of the integrated information processing system for the flight control. For the safe aircraft's flight, the information transfer and exchange among air traffic control units are the essential element through the flight data processing. Therefore, for the development of the flight data processing system we are going to analyze its function and look into the necessary consideration in a design in this paper.