• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.147-155
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• 2024

Currently, the 4th Industrial Revolution, like other revolutions, is bringing great change and new life to humanity, and in particular, the demand for and use of drones, which can be applied by combining various technologies such as big data, artificial intelligence, and information and communications technology, is increasing. Recently, it has been widely used to carry out dangerous military operations and missions, such as the Russia-Ukraine war and North Korea's reconnaissance against South Korea, and as the demand for and use of drones increases, concerns about the safety and security of drones are growing. Currently, a variety of research is being conducted, such as detection of wireless communication abnormalities and sensor data abnormalities related to drones, but research on real-time detection of threats using radio frequency characteristic data is insufficient. Therefore, in this paper, we conduct a study to determine whether the characteristic data is normal or abnormal signal data by collecting radio frequency signal characteristic data generated while the drone communicates with the ground control system while performing a mission in a HITL(Hardware In The Loop) simulation environment similar to the real environment. proceeded. In addition, we propose an unsupervised learning-based threat detection system and optimal threshold that can detect threat signals in real time while a drone is performing a mission.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.355-356
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• 2018

본 연구에서는 드론 기술을 응용한 부력조형물의 수평 및 수직 자세제어에 관한 연구를 수행 하였다. 기존의 공중부양 조형물은 헬륨 Gas를 이용한 애드벌룬이 대표적으로 로프를 이용한 단순한 공중부양 조형물이었다. 본 연구에서는 이러한 공중부양 조형물에 로프를 없애고 드론 기술을 응용한 프로펠러로 공중부양 조형물의 자세를 제어하는 방법을 연구하였다. 시스템 구성은 단일 제어기로서의 역할보다 시스템 구성요소로서의 역할이 매우 중요해지므로 조형물의 제어시스템, 다양한 센서등의 연동되어지는 전체의 제어기로 확장시켜 사용되는 퓨전 시스템의 방향으로 구성하였다. 부력조형물의 수평 및 수직제어를 위하여 사용된 센서는 2축의 자이로센서와 3축의 가속도센서를 사용하였다. 프로펠러와 연결된 BLDC모터를 효율적으로 제어하기 위한 알고리즘으로 PI 알고리즘을 이용하였다. 시스템의 성능 향상을 위한 효율적인 동적 작업부하 균등화와 시스템 자원인 CPU와 메모리를 효율적으로 사용하여 고성능 컴퓨팅 시스템의 처리량을 최소화하고, 센싱 및 제어의 수행시간을 최소화하였다. 본 연구에서는 PI 알고리즘을 시스템에 적용하여 응답특성 실험을 행한 결과 시뮬레이션에 의한 응답 결과와 잘 일치하였으며 그 유용성이 검증하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.1118-1121
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• 2020

전체 해양 사고 원인 중 선박 운항 부주의가 34%로 사고 발생 원인 중 대다수를 차지한다. 해당 문제를 해결하기 위해서는 선박 운항자를 대상으로 효과적인 운항 교육 및 실시간 관제 시스템을 제공해 사고를 방지하는 것이 중요하다. 따라서 울산항만을 현실적으로 반영한 가상현실 시물레이션 및 5g 수상드론을 이용한 운항 교육 시스템과 모든 선박들이 사용가능한 실시간 관제 시스템을 연구하고 이를 울산 항만에 제공한다.

• Journal of IKEEE
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• v.23 no.4
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• pp.1116-1121
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• 2019

Networking services based on the flying drones may cause many handover events because the coverage radius is narrower than that of the existing infrastructure, such as cellular networks. Therefore, it copes with frequent handover by pre-caching data to target network provider before handover using a content store. As a result of the simulation, it can be confirmed that the delay is lowered. This is because the data that was requested before the handover is delivered to the target drones, and the car that has completed the handover receives the data through the target drones. On the other hand, if the proposed method is not used, it can be confirmed that the delay is increased. This is because it can not cope with the path change due to the handover and re-sends the packet requesting the data.

• Journal of Aerospace System Engineering
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• v.17 no.5
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• pp.63-75
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• 2023

The antenna radiation pattern was simulated by arranging the mounted antennae of the transport drone in 5 locations where radio interference was expected to be low, and they could be mounted. Depending on the mounting location, the probability that the link margin was less than 0 dB was (5.41 - 26.92) %. When two antennae were mounted and one was selected, the probability was (0.11 - 3.3) %. Among the arrangements, placing one antenna in the upper part of the front and one in the lower part of the rear showed the lowest link fail probability. In this case, it was analyzed that if the attitude roll and pitch of the aircraft were limited, link fail would not occur at an operating distance of 12 km or less. An antenna selection formula for this case was derived, and a method of reducing frequent alternation of antennae was applied to maintain a stable link.

• Journal of Aerospace System Engineering
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• v.15 no.5
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• pp.72-80
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• 2021

Albatross uses dynamic soaring technique to obtain energy from horizontal winds and fly long distances without flapping. These dynamic soaring technique can be applied to manned/unmanned aircraft to reduce the components required for the aircraft and achieve light weight and small volume to effectively perform a given task. In this paper, to simulate the dynamic soaring technique of Albatross, we defined the optimization problem and set each boundary condition to derive the optimal flight trajectory and carry out simulations to follow it. In particular, to model dynamic soaring simulations more closely with reality, we proposed a horizontal wind model that changes every moment. This identifies and analyzes the effect of the time-variable horizontal wind model on the dynamic soaring mission of unmanned aircraft.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.12-19
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• 2020

The clustered heterogeneous wireless sensor network is comprised of sensor nodes and cluster heads, which are hierarchically organized for different objectives. In the network, we should especially take care of managing node resources to enhance network performance based on memory and battery capacity constraints. For instances, if some interesting events occur frequently in the vicinity of particular sensor nodes, those nodes might receive massive amounts of data. Data congestion can happen due to a memory bottleneck or link disconnection at cluster heads because the remaining memory space is filled with those data. In this paper, we utilize drones as mobile sinks to resolve data congestion and model the network, sensor nodes, and cluster heads. We also design a cost function and a congestion indicator to calculate the degree of congestion. Then we propose a data congestion map index and a data congestion mapping scheme to deploy drones at optimal points. Using control variable, we explore the relationship between the degree of congestion and the number of drones to be deployed, as well as the number of drones that must be below a certain degree of congestion and within communication range. Furthermore, we show that our algorithm outperforms previous work by a minimum of 20% in terms of memory overflow.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.827-835
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• 2023

Drone light detection and ranging (LiDAR) is a state-of-the-art surveying technology that enables close investigation of the top of the mountain slope or the inaccessible slope, and is being used for field surveys in mountainous terrain. To build topographic information using Drone LiDAR, a preprocessing process is required to effectively separate ground and non-ground points from the acquired point cloud. Therefore, in this study, the point group data of the mountain topography was acquired using an aerial LiDAR mounted on a commercial drone, and the application and accuracy of the cloth simulation filtering algorithm, one of the ground separation techniques, was verified. As a result of applying the algorithm, the separation accuracy of the ground and the non-ground was 84.3%, and the kappa coefficient was 0.71, and drone LiDAR data could be effectively used for landslide field surveys in mountainous terrain.

• Journal of Aerospace System Engineering
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• v.16 no.1
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• pp.49-55
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• 2022

The role of drones has been expanded to various fields such as agriculture, construction, and logistics. In particular, agriculture drones are emerging as an effective alternative to solve the problem of labor shortage and reduce the input cost. In this study therefore, we proposed the fruit recognition algorithm and harvesting mechanism for fruit harvesting drone system that can safely harvest fruits at high positions. In the fruit recognition algorithm, we employ "You-Only-Look-Once" which is a deep learning-based object detection algorithm and verify its feasibility by establishing a virtual simulation environment. In addition, we propose the fruit harvesting mechanism which can be operated by a single driving motor. The rotational motion of the motor is converted into a linear motion by the scotch yoke, and the opened gripper moves forward, grips a fruit and rotates it for harvesting. The feasibility of the proposed mechanism is verified by performing Multi-body dynamics analysis.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.129-130
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• 2023

This study proposes rainwater infiltration retention blocks as a solution to the flooding problems caused by recent climate change and developed a flood prediction simulation program to select the optimal site for installing rainwater infiltration retention blocks that can minimize damage from floods. By applying the existing 2D flood analysis model G2D and adding a reservoir function, the volume of water before and after installation can be determined through simulation results.