• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.175-176
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• 2018

While damage caused by fire increases, awareness of fire is still low. Morever, Small fires often spread into big fires as they fail to keep the golden time due to the delay in initial response. In particular, the initial response is more important in areas where many unauthorized buildings are called " Panjachon " as firefighting facilities are insufficient compared to other residential facilities. Therefore, we will combine BIM technology, drones and IT convergence technologies to develop a firefighting safety information system that can speed up initial response and help combat fires.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.856-857
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• 2023

실종자를 찾는 빈번한 안전재난문자로 인해 피로도가 높아짐에 따라 본 연구에서는 실종자 탐색 문자 발송량을 줄이기 위해 드론과 인공지능을 활용하여 도시에서의 실종자 탐색의 가능성을 제시한다. 실시간으로 얼굴을 인식하여 실종자를 탐색하는 접근 방식을 사용하여 구현해 실종자 탐색이 가능함을 보였고 이를 통해 인구 밀집 지역에서의 실종자 탐색이 효율적일 것으로 기대한다.

• Economic and Environmental Geology
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• v.53 no.6
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• pp.729-742
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• 2020

In this study, we analyze seabottom conditions and characteristics integrated with topographic data, seafloor mosaic, underwater images and orthophoto(drone) of soft-hard bottom area around the Sib-Ri rock in the northern shore of the East Sea(Gyeongpo Beach, Gangneung). We obtained field survey data around the Sib-Ri rock(about 600 m × 600 m). The Sib-Ri rock is formed by two exposed rocks and surrounding reef. The artificial reef zone made by about 200 ~ 300 structures is shown the western area of the Sib-Ri rock. The underwater rock region is extended from the southwestern area of the exposed the Sib-Ri rock with 9 ~ 11 m depth range. The most broad rocky seabottom area is located in the southwestren area of the Sib-Ri rock with 10 ~ 13 m depth range. The study area were classified into 4 types of seabottom environment based on the analysis of bathymetric data, seafloor mosaics, composition of sediments and images(underwater and drone). The underwater rock zones(Type I) are the most distributed area around the Sib-Ri Rock(about 600 m × 600 m). The soft seabottom area made by sediments layer showed 2 types(Type II: gS(gravelly Sand), Type III: S(Sand)) in the areas between underwater rock zones and western part of the Sib-Ri rock(toward Gyeongpo Beach). The artificial reef zone with a lot of structures is located in the western part of the Sib-Ri rock. Marine algae(about 6 species), Phylum porifera(about 2 species), Phylum echinodermata(about 3 species), Phylum mollusca(about 3 species) and Phylum chordata(about 2 species) are dominant faunal group of underwater image analysis area(about 10 m × 10 m) in the northwestern part of the Sib-Ri rock. The habitat of Phylym mollusca(Lottia dorsuosa, Septifer virgatus) and Phylum arthropoda(Pollicipes mitella, Chthamalus challengeri hoek) appears in the intertidal zone of the Sib-Ri rock. And it is possible to estimate the range and distribution of the habitat based on the integrated study of orthphoto(drone) and bathymetry data. The integrated visualization and mapping techniques using seafloor mosaic images, sediments analysis, underwater images, orthophoto(drone) and topographic data can provide and contribute to figure out the seabottom conditions and characteristics in the shore of the East Sea.

• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.653-666
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• 2020

Understanding the vegetation structure is important to manage forest resources for sustainable forest development. With the recent development of technology, it is possible to apply new technologies such as drones and deep learning to forests and use it to estimate the vegetation structure. In this study, the vegetation structure of Gongju, Samchuk, and Seoguipo area was identified by fusion of drone-optical images and LiDAR data using Artificial Neural Networks(ANNs) with the accuracy of 92.62% (Kappa value: 0.59), 91.57% (Kappa value: 0.53), and 86.00% (Kappa value: 0.63), respectively. The vegetation structure analysis technology using deep learning is expected to increase the performance of the model as the amount of information in the optical and LiDAR increases. In the future, if the model is developed with a high-complexity that can reflect various characteristics of vegetation and sufficient sampling, it would be a material that can be used as a reference data to Korea's policies and regulations by constructing a country-level vegetation structure map.

• Explosives and Blasting
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• v.40 no.4
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• pp.15-26
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• 2022

With the recent increase in old and dangerous buildings, the demand for technology in the field of structure demolition is rapidly increasing. In particular, in the case of structures with severe deformation of damage, there is a risk of deterioration in stability and disaster due to changes in the load distribution characteristics in the structure, so rapid structure demolition technology that can be efficiently dismantled in a short period of time is drawing attention. However, structural deformation such as unauthorized extension or illegal remodeling occurs frequently in many old structures, which is not reflected in structural information such as building drawings, and acts as an obstacle in the demolition design process. In this study, as an effective way to overcome the discrepancy between the structural information of old structures and the actual structure, access to actual structures through 3D modeling was considered. 3D point cloud data inside and outside the building were obtained through LiDAR and drone photography for buildings scheduled to be blasting demolition, and precision matching between the two spatial data groups was performed using an open-source based spatial information construction system. The 3D structure model was completed by importing point cloud data matched with 3D modeling software to create structural drawings for each layer and forming each member along the structure slab, pillar, beam, and ceiling boundary. In addition, the modeling technique proposed in this study was verified by comparing it with the actual measurement value for selected structure member.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.299-304
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• 2023

Recently, drones have been used as a major means of attack drones in major wars around the world, and it seems likely that they will evolve into game changers in the future. Recently, drones have been used as a major means of attack drones in major wars around the world, and it seems likely that they will evolve into game changers in the future. In the major wars of the 21century, attack drones are used for precision fire-guided or self-destruct attacks, For the purpose of cognitive warfare, its territory is expanding not only to land and air, but also to sea and water. These attack drones will perform multi-domain operations, and for this purpose, the level of autonomy will be improved and High-Low Mix We will continue to develop by strengthening concept-based scalability. North Korea has also been making considerable efforts to operate attack drones for a long time, and activities such as third-country-level self-explosive drones, artificial intelligence-based clustered self-explosive drones, and self-destructive stealth unmanned semi-submersible are expected. In addition to North Korea's provocations and attacks, it is hoped that there will be a need for active follow-up research on our military's countermeasures and utilization plans.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.27-33
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• 2023

Recently, water shortages have occurred due to climate change, and the need for water management of agricultural water has increased due to the occurrence of algal blooms in reservoirs. Existing algae prevention is operated by putting many people on site and misses the optimal spraying time due to movement through boats. In order to solve this problem, it is necessary to block contamination in advance and move within time to uniformly spray complex microorganisms uniformly. Control drones are used for pesticide spraying and can be applied to algae prevention work by utilizing control drones. In this paper, basic research for the establishment of a marine control system was conducted for application to the reservoir environment, and as one of the results, the characteristics of a drone nozzle, a core technology that can be used for control drones, were calculated. In particular, it was found that the existing agricultural control drones had a disadvantage that the concentration was non-uniform within the suggested spraying interval, and to compensate for this, nozzle positioning and nozzle spraying uniformity were calculated. Based on the experimental results, we develop a core algorithm for establishing an algal bloom monitoring system in the reservoir environment and propose a precision control technology that can be used for marine control work in the future.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.107-112
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• 2023

World is moving towards digitization at a rapid pace, so the enterprises have developed information systems for management of their business. Empowering educational institutes with information systems are become very important and vital. Doing everything manually is very difficult for students, teachers and staff. Information system can enhance their efficiency and save a lot of time; this research proposed system will solve this issue by providing services like class room reservation, e-library facility, online submission etc. in a secured environment. Up till now limited attention has been paid to utilize robots and drones for automation inside educational institutes. Our proposed system incorporates robots and drones to fill this gap in automation being used in institutes. Through this research, the aim is to improve the efficiency of learning and services in educational institutions or universities.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.370-372
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• 2020

가상 현실을 이용한 다양한 응용기술이 등장함에 따라, 그를 이용한 서비스와 상용 애플리케이션이 개발되고 있다. VR, AR 사용자가 증가하고, 주위에서도 쉽게 이러한 기술을 접할 수 있게 되었다. 이에 본 논문은 2D로 표현되는 기존의 지도 사용을 어려워하는 사람들의 문제점을 해결하기 위하여 VA과 AR-based 3D를 통합할 수 있는 지도를 연구하고 'SNUT MAP'을 개발하였다. 'SNUT MAP'을 개발하는 데 Unity 3D와 Dronedeploy, Blender, Vuforia, AR+GPS location, Google maps API를 사용하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.862-863
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• 2023

자율주행 드론을 이용하여 지적 재산 보호 시스템을 구현하는 것을 목표로 한다. 드론이 목표물 주변을 순찰하면서 카메라로 촬영하고, 이미지 처리 기술로 이상 징후를 감지하면 알림을 보내는 시스템이다. 이를 통해, 인력 부족 문제와 같은 보안 위협에 대한 대응력을 높일 수 있으며, 지적 재산의 안전성을 보장할 수 있다.