• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.136-150
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• 2022

In this study, a comparative review was conducted on how to use RGB images to obtain river topographic information, which is one of the most essential data for eco-friendly river management and flood level analysis. In terms of the topographic information of river zone, to obtain the topographic information of flow section is one of the difficult topic, therefore, this study focused on estimating the river topographic information of flow section through RGB images. For this study, the river topography surveying was directly conducted using ADCP and RTK-GPS, and at the same time, and orthomosiac image were created using high-resolution images obtained by drone photography. And then, the existing developed regression equations were applied to the result of channel topography surveying by ADCP and the band values of the RGB images, and the channel bathymetry in the study area was estimated using the regression equation that showed the best predictability. In addition, CCHE2D flow modeling was simulated to perform comparative verification of the topographical informations. The modeling result with the image-based topographical information provided better water depth and current velocity simulation results, when it compared to the directly measured topographical information for which measurement of the sub-section was not performed. It is concluded that river topographic information could be obtained from RGB images, and if additional research was conducted, it could be used as a method of obtaining efficient river topographic information for river management.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.135-142
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• 2020

In the recent farming industry, there is a growing diffusion of drones, which are recognized as a crucial technology of the 4 th industrial revolution to cope with aging. Especially, filming and pest control using drones are representative fields that have different age groups for obtaining a national license of multicopter that is a ultra-light flying device, and can create profits after getting a license. However, pest control technology using drones has different spray effects depending on levels of operational proficiency, since this highly relies on an operator's operating skills. It is anticipated that if this issue is supplemented, the use of drones for pest control in the farming industry will diversify. For analysis of spraying characteristics of agricultural pest control drones, this study aims to formulate effective spraying hours and effective spraying intervals and suggest an algorithm, which facilitates an accurate calculation of pest control area depending on the kinds of pest control drones. This algorithm can be used in the field of pest control by improving scatterling issues caused by drone flight methods of drone pest controllers and building an optimum pest control manual in future.

• Journal of Aerospace System Engineering
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• v.15 no.1
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• pp.102-110
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• 2021

Recently, multi-copters equipped with various collision avoidance sensors have been introduced to improve flight stability. LiDAR is used to recognize a three-dimensional position. Multiple cameras and real-time SLAM technology are also used to calculate the relative position to obstacles. A three-dimensional depth sensor with a small process and camera is also used. In this study, a small collision-avoidance multi-copter system capable of in-door flight was developed as a platform for the development of collision avoidance software technology. The multi-copter system was equipped with LiDAR, 3D depth sensor, and small image processing board. Object recognition and collision avoidance functions based on the YOLO algorithm were verified through flight tests. This paper deals with recent trends in drone collision avoidance technology, system design/manufacturing process, and flight test results.

• Convergence Security Journal
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• v.22 no.4
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• pp.75-84
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• 2022

In the 4th industry, drones are being used while having a close relationship with our lives. The development and use of various drones suggests a new paradigm for the domestic industry in the future, and is expected to become more advanced and scientific. Meanwhile, in the field of defense, efforts are being made in various ways to overcome the social phenomenon of reduced service resources. It is concentrating its efforts on strengthening the national defense power by preparing an exit strategy to supplement the shortage of service resources and to maintain and improve combat power, and by combining various science and technology related to the 4th industry. The military is planning to reinforce its combat power in connection with future industries to effectively respond and perform missions in preparation for the future combat aspects that have been researched and planned, and is planning an unmanned combat system for the science and technology army by investing a separate budget. Therefore, we systematically introduce and utilize drones, which are the core of the unmanned combat system, to create more active combat power and seek countermeasures for the battle vacuum, It is expected to provide a new paradigm for the battlefield when using advanced technology developed in the private sector and grafting it to the military sector.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.129-136
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• 2023

A special offshore bridge with a high pylon has special structural features.Special offshore bridges have inspection blind spots that are difficult to visually inspect. To solve this problem, safety inspection methods using drones are being studied. In this study, image data of the pylon of a special offshore bridge was acquired using a drone. In addition, an artificial intelligence algorithm was developed to detect damage to the pylon surface. The AI algorithm utilized a deep learning network with different structures. The algorithm applied the stacking ensemble learning method to build a model that formed the ensemble and collect the results.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.273-275
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• 2017

드론 기술이 발전하여 다양한 용도로 활용 가능해지면서 사용 범위와 시장을 더욱 넓혀가고 있다. 또한 사물인터넷(IoT) 시대에 포렌식 적용 대상의 범위가 스마트 워치, 스마트 TV 등 우리 생활에 다양하게 자리잡은 임베디드 시스템으로 확대되고 있다. 본 논문에서는 리눅스 포렌식 아티팩트 분석 기법을 이용하여 Busybox를 사용하는 드론에 대해 중요 데이터 증거를 수집하는 방법을 제시한다.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.134-138
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• 2020

Blockchain is an enabling technology for managing data with high trust and transparency among connected computers. Blockchain emerged with the advent of the Bitcoin cryptocurrency, and then, evolved as general-purpose platforms such as Ethereum, EOS, R3 Corda, and IBM Hyperledger Fabric. The application of blockchain covers a broad range of areas such as fintech, decentralized identity, distribution, real estate trading, games, and drone air traffic management. Smart contracts are indispensable for constructing blockchain services. This survey classifies smart contract languages by their features and shows their differences from existing general-purpose programming languages.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.99-100
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• 2017

최근 이슈화되는 드론을 매개로 한 테러를 포함한 범죄 행위에 대한 예방 및 방어 기술이 발달하며 그에 따른 시장도 확대되고 있다. 본 연구는 지금 국내외 사례를 통해 어떠한 위협이 있고 관련 기술은 어떻게 발전하고 있는지 또한 관련 당국과 산업, 학계는 어떻게 준비하고 있는지 점검하고 차후 과제를 도출하는데 목적이 있다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.301-302
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• 2019

드론산업은 항공 SW 통신 센서 소재 등 연관 산업이 융합된 차세대 전략산업이며, 다양한 비즈니스 모델 창출이 가능한 특징이 있다. 특히, 드론 체험관산업은 다양한 수요에 대응한 IT 센서 등 융 복합이 요구되는 융합의 특징을 지닌다. 드론 체험관 구성을 위해서는 드론제어/운영 SW, 배터리, 센서 융합기술이 필요하다. 시장구조분석은 마이클 포터의 5가지 산업구조 분석요소를 사용하여 분석하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1027-1028
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• 2017

드론의 발전 속도는 빠르게 성장하고 있고, 전 세계적으로 방송 촬영, 배송, 구조, 농업분야에서 활용 범위가 확대되고 있다. 본 논문에서의 시스템은 사람이 접근하기 힘든 지역을 간단히 조립하여 수색할 수 있는 스마트 VR 드론을 통해 수색 또는 순찰에 도움이 되고자 한다. 개발된 시스템은 인력과 시간의 제약을 최소화하고, 드론을 통해 촬영한 영상을 사용자에게 가상현실을 이용한 3D영상으로 제공한다.