• Electronics and Telecommunications Trends
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• v.32 no.4
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• pp.78-88
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• 2017

무인기의 기술 발전에 따른 운송, 통신중계, 교통감시, 산불감시 진화, 재해 재난대처 등 무인기의 민간 및 공공 수요가 확대되고 있다. 무인기는 국가 공역으로의 운항이 요구되는데, 국가 공역으로의 안전한 진입을 위해서는 유인항공기 조종사에 의한 시각 감지 및 회피와 동일할 수준의 안전성을 제공하는 탐지 회피 능력과 함께 신뢰성 높은 무인기 제어용 통신링크 확보가 필수적으로 요구되고 있다. 따라서, 본고에서는 국외 기술 개발 및 표준화 동향을 바탕으로 국가 공역에서의 무인기의 안정적 진입을 위해 필요한 무인기 지상 제어용 통신 및 네트워크 기술에 대해 살펴보고자 한다.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1999-2004
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• 2004

Collision avoidance for the aircraft can be stated as a problem of maintaining a safe distance between aircrafts in conflict. Optimal collision avoidance problem seeks to minimize the given cost function while simultaneously satisfying the constraints. The cost function can be a function of time or input. This paper addresses the trajectory time-optimization problem for collision avoidance of the unmanned aerial vehicles. The problem is difficult to handle, because it is a two points boundary value problem with dynamic environment. Some simplifying algorithms are used for application in on-line operation. Although there are more complicated problems, by prediction of conflict time and some assumptions, we changed a dynamic environment problem into a static one.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.148.1-148
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• 2001

The airship is starting to receive new highlights as a stable floating platform. A floating platform can serve as a telecommunication relay station or an environmental outpost. Much of these operations require unmanned autonomous operation on the airship. Due to difficulties in modelling and identifying the airship, controlling the airship is not an easy task. Different from the normal aircraft, the airship is affected by "added mass" and buoyancy. The added mass is the additional mass felt required to move the object in a fluid. As we are searching for a stable floating platform, controlling the airship to keep station is critical. We use a simple airship model with added mass for simulation. Classical controller is used to find acceptable airship performances.

• Electronics and Telecommunications Trends
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• v.32 no.1
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• pp.82-92
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• 2017

최근 들어 무인기와 무선통신기술의 비약적인 발전은 무인기들을 국가 공역에 진입시켜 운행할 필요성과 택배, 긴급 통신영역 확장, 재해 감시 및 대처, 위험지역 정찰, 항공촬영과 같은 다양한 분야로의 활용에 대한 요구를 크게 증가시켰다. 다수의 무인기를 안전하게 운행 및 조종하기 위해서는 고신뢰성 및 고보안성을 제공하는 무인기 제어 전용 네트워크가 요구되며, 이러한 네트워크를 무인기 제어용 통합 네트워크라고 한다. 본고는 무인기 제어용 통합 네트워크의 보안 적용 구간을 분류하고, 구간별로 보안 요구사항과 요구사항을 달성할 수 있는 보안기술들을 차례로 제시한다. 또한, 향후에 무인기 제어용 통합 네트워크의 보안성을 강화하기 위해 개선되어야 하는 부분들을 제시한다.

• Journal of Ecology and Environment
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• v.38 no.1
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• pp.113-118
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• 2015

Conservation drones are remote-controlled devices capable of collecting information from difficult-to-access places while minimizing disturbance. Although drones are increasingly used in many research disciplines, their application to wildlife research remains to be explored in depth. This paper reports on the use of Phantom 2 Vision+ for monitoring areas in two national parks in South Korea. The first research area was conducted in Chiaksan National Park, and the second in Taeanhaean National Park. The aim of this research is to introduce ecologists and researchers alike to conservation drones and to show how these new tools have are fundamentally helping in the development of natural sciences. We also obtained photographs and videos of monitoring areas within our test site.

• Electronics and Telecommunications Trends
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• v.30 no.3
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• pp.74-83
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• 2015

무인기의 기술 발전에 따른 운송, 통신중계, 교통감시, 산불감시 진화, 재해 재난대처 등 무인기의 민간 및 공공 수요 확대로, 무인기는 국가 공역으로의 운항이 요구되고 있으며 국가 공역으로의 안전한 진입을 위해서는 유인항공기 조종사에 의한 시각 감지 및 회피와 동일한 수준의 안전성을 제공하는 탐지회피 능력과 함께 신뢰성 높은 무인기 제어용 통신링크 확보가 필수적으로 요구되고 있다. 따라서, 본고에서는 무인기 제어용 통신링크에서 요구되는 기술적 특징 및 국내외 기술/표준화 동향을 파악하고 고신뢰성 무인기 제어용 통신링크 확보를 위한 기술적 및 표준화 이슈를 살펴보고자 한다.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.327-333
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• 2019

Wind speed data constitute important weather information for aircrafts flying at low altitudes, such as drones. Currently, the accuracy of low altitude wind predictions is much lower than that of high-altitude wind predictions. Deep neural networks are proposed in this study as a method to improve wind speed forecast information. Deep neural networks mimic the learning process of the interactions among neurons in the brain, and it is used in various fields, such as recognition of image, sound, and texts, image and natural language processing, and pattern recognition in time-series. In this study, the deep neural network model is constructed using the wind prediction values generated by the numerical model as an input to improve the wind speed forecasts. Using the ground wind speed forecast data collected at the Boseong Meteorological Observation Tower, wind speed forecast values obtained by the numerical model are compared with those obtained by the model proposed in this study for the verification of the validity and compatibility of the proposed model.

• Journal of Advanced Engineering and Technology
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• v.11 no.4
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• pp.273-277
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• 2018

In the field of forest disaster prevention, drones are expected to save higher human resources than the existing manpower has, and produce high-efficiency results over time. However, operational limitations brought by short flight times have brought the environment of limited use of the various capabilities of the drone, and the existing development systems operating the multi-drone are mainly for performance purpose, so it is a difficult to use for forest disaster prevention. The purpose of this paper is to design the concept based on multi-drone operation procedure through analysis of mission of ground control system for forest disaster prevention.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.733-741
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• 2020

A smart dust monitoring system is useful for obtaining information on rough terrain that is difficult for humans to access. One of ways to deploy sensors to gather information in smart dust environment is to use an aircraft in the Amazon rainforest to scatter an enormous amount of small and cheap sensors (or smart dust devices), or to use an unmanned spacecraft to throw the sensors on the moon's surface. However, scattering an enormous amount of smart dust devices creates the difficulty of managing such devices as they can be scattered into inaccessible areas, and also causes problems such as bottlenecks, device failure, and high/low density of devices. Of the various problems that may occur in the smart dust environment, this paper is focused on solving the bottleneck problem. To address this, we propose and construct a three-layered hierarchical smart dust monitoring system that includes relay dust devices (RDDs). An RDD is a smart dust device with relatively higher computing/communicating power than a normal smart dust device. RDDs play a crucial role in reducing traffic load for the system. To validate the proposed system, we use climate data obtained from authorized portals to compare the system with other systems (i.e., non-hierarchical system and simple hierarchical system). Through this comparison, we determined that the transmission processing time is reduced by 49%-50% compared to other systems, and the maximum number of connectable devices can be increased by 16-32 times without compromising the system's operations.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.5
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• pp.342-349
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• 2013

A damage imposed on an unmanned aerial vehicle changes the flight dynamic characteristics, and makes difficult for a conventional controller based on undamaged dynamics to stabilize the vehicle with damage. This paper presents a neural network based adaptive control method that guarantees stable control performance for an unmanned aerial vehicle even with damage on the main wing. Additionally, Pseudo Control Hedging (PCH) is combined to prevent control performance degradation by actuator characteristics. Asymmetric dynamic equations for an aircraft are chosen to describe motions of a vehicle with damage. Aerodynamic data from wind tunnel test for an undamaged model and a damaged model are used for numerical validation of the proposed control method. The numerical simulation has shown that the proposed control method has robust control performance in the presence of wing damage.