• Title/Summary/Keyword: Drone safety

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A Study on the Development of the Active Radar Reflector with Enhanced Function (개선된 기능을 갖는 능동 레이더 반사기 개발에 관한 연구)

  • 정종혁;강상욱;조영창;최병진;윤정오;오주환
    • Journal of Korea Society of Industrial Information Systems
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    • v.5 no.3
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    • pp.38-43
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    • 2000
  • Active radar reflector may be less familiar, since their uses have been limited to military applications, especially the enhancement of the effective radar cross-sections of missile test range in the drone aircraft and missiles. Perhaps the most widely-Down applications of radar transponders are Identification Friend or Foe(IFF) and its civilian counterpart secondary surveilliance radar for Air Traffic Control(ATC), and most recently, as Search And Rescue Transponder(SART) in the Global Maritime Distress and Safety System(GMDSS). Since it happens frequently accidents on the sea, the problems of the contamination more seriously considered. The conventional navigation buoy and utilities are not sufficient to maintain the safety of the sea and thus new structured concept must be considered. Therefore, this paper propose and implement the active radar reflector with a enhanced function. The results are shown that the performance of the system is significantly improved comparing with the conventional utilities.

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A Study on the Safety Monitoring of Bridge Facilities based on Smart Sensors (스마트 센서 기반의 교량 시설물 안전 모니터링 기법 연구)

  • YEON, Sang-Ho;KIM, Joon-Soo;YEON, Chun-Hum
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.2
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    • pp.97-106
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    • 2019
  • Today, many smart sensor's measurement instruments are used to check the safety situation of various medium and large bridge structures that should be maintained in the construction facilities, but most of them use the method of measuring and confirming the displacement behavior of the bridge at regular intervals. In order to continuously check the safety situation, various measuring instruments are used, but most of them are not able to measure and measure the displacement and behavior of main construction structures at regular intervals. In this study, GNSS and environment smart sensors and drone's image data are transmitted to wireless network so that risk of many bridge's structures can be detected beforehand. As a result, by diagnosing the fine displacement of the bridge in real time and its condition, reinforcement, repair and disaster prevention measures for the structural parts of the bridges, which are expected to be dangerous, and various disasters and accidents can be prevented, and disaster can be prevented could suggest a new alternative.

A Study on the Effectiveness of the 4th Industrial Technology Application for School Building Construction Work (학교건물 시공을 위한 4차 산업기술 적용의 효과성에 대한 연구)

  • Min, Kyung-Suk
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.19 no.4
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    • pp.78-87
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    • 2020
  • This study proposed the basic data that contributes to inducing an effective construction plan through the application of the 4th industrial technology to construct a school building that can guarantee the five goals of construction management: cost, process, quality, safety, and environmental management. To this end, 3D printing, drones, robot automation, and augmented reality technologies that are highly usable in construction sites were identified for construction workers. As part of this, related literature and research data were investigated. The selected 4th industrial technology was investigated and analyzed on how it was used for cost, process, quality, safety, and environmental management in a detailed school construction process. As a result of the analysis, significant results were found for the application plan of the 4th industrial technology in school construction for cost, process, quality, safety, and environmental management.

Research Trend Analysis of Risk Cost Model for UAM Flight Path Planning (UAM 비행 경로 계획을 위한 위험 비용 모델 연구 동향 분석)

  • Jae-Hyeon Kim;Dong-Min Lee;Myeong-Jin Lee;Yeong-Hoon Choi;Ji-Hun Kwon;Jong-Whoa Na
    • Journal of Advanced Navigation Technology
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    • v.28 no.1
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    • pp.68-76
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    • 2024
  • With the recent rapid growth of the domestic and international unmanned aerial vehicle (UAV) market and the increasing importance of UAV operations in urban centers, such as UAMs, the safety management and regulatory framework for human life and property damage caused by UAV failures has been emphasized. In this study, we conducted a comparative analysis of risk-cost models that evaluate the risk of an operating area for safe UAM flight path planning, and identified the main limitations of each model to derive considerations for future model development. By providing a basic model for improving the safety of UAM operations, this study is expected to make an important contribution to technical improvements and policy decisions in the field of UAM flight path planning.

Smart Integrated Monitoring System for Ensuring Indenpendent Network in Disaster Site (재난현장의 독립적 통신망 확보를 위한 스마트 통합 관제시스템)

  • Lee, Yang Sun
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.905-910
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    • 2017
  • In this paper, we were proposed an on-site smart integrated monitoring system for securing an independent network infrastructure (wireless communication, image transmission and site situation detection) in disaster area. The proposed system was designed not only for the entire structure of the disaster safety communication network but also for the effective exchange of information between the field crew team and the field command and control center at the disaster site. Also, the proposed Smart Integrated Monitoring System supports wireless communication between field crews at the disaster site and supports communication with the drone to collect disaster scene video information. Therefore, the on-site smart integrated monitoring system enables to obtain the complete image of the surrounding area in case of a disaster and to efficiently command the field crew.

A Study on the Radar Data Analysis of VFR Aircraft at an Airport (특정 공항에서의 VFR 항공기 레이다 항적자료 분석 연구)

  • Lee, KyungHan;Kim, DoHyun;Shin, DaiWon
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.27 no.4
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    • pp.37-43
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    • 2019
  • Obstacle limitation surfaces are imaginary space surfaces that must be clear of obstacles for the aircraft to safely take off and land on the aerodrome. These surfaces are closely related to the safety of the VFR aircraft, which require a pilot to be able to see outside the cockpit, to control the aircraft's altitude, navigate, and avoid obstacles and other aircraft. The Republic of Korea, which has a lot of restrictions on the use of airspace, cannot provide a rich operating environment for VFR aircraft. Under these circumstances, safer operation will not be guaranteed if additional factors that directly or indirectly affect existing VFR routes, such as drone delivery services. This study analyzes and models the track distribution of each VFR section based on radar track data around a specific airport. Through this study, we estimate the three-dimensional space for VFR aircraft and provide the data for future research such as airspace analysis of VFR corridors and correlation with obstacle limitation surfaces.

The Development Progress of Korean Aviation Industry and its Investment Strategy Based on the Evidence and the 4th Industrial Revolution

  • Kim, Jongbum
    • International Journal of Aerospace System Engineering
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    • v.5 no.2
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    • pp.1-7
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    • 2018
  • This study examines the history of Korean aviation industry and presents the investment strategy based on the evidence and the 4th industrial revolution. Looking at the evolution of the Korean aviation industry and its technological development will be a great help to support industrial and technological innovation in the future. The modern aviation industry is divided into stages of development, focusing on maintenance of equipment introduced in advanced countries, localization through license assembly, production of products based on technology, and international joint development. The development of aeronautics technology has been progressing towards a general improvement of economic efficiency, aircraft safety efficiency through environmental-friendliness, unmanned operation, and downsizing. The Korea Aerospace Research Institute has secured key technologies through development of several aircrafts such as Experimental Aircraft Kachi, EXPO Unmanned Airship, Twin-engine Composite Aircraft, Canard Aircraft, Multi-Purpose Stratosphere unmanned-airship, Medium Aerostats, Smart UAV, Surion, EAV-2H, KC-100, and OPV. The development strategy is discussed at the level of the evidence-based investment strategy that is currently being discussed, and so the investment priorities in aircraft is high. Current drone usage and development direction are not only producing parts using 3D printer, but also autonomous flight, communication (IoT, 5G), information processing (big data, machine learning). Therefore, the aviation industry is expected to lead the fourth industrial revolution.

Design of Smart Farm with Automatic Transportation Function

  • Hur, Hwa-ra;Park, Seok-Gyu;Park, Myeong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.8
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    • pp.37-43
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    • 2019
  • The existing smart farm technology has been systematized for the mass production rather than the consumer. There are many problems such as economical aspect to apply to actual rural environment due to aging. The purpose of this study is to apply smart farm technology based on the applicability of population aged in rural areas. Due to the heat wave, the crops in general greenhouse cultivation facilities suffered from damage such as sunlight damage. To minimize such damage, adjust the temperature and humidity environment or install a light-shielding film. However, the workers in the rural areas are aging and the elderly who are farming alone have a lot of difficulties in doing so. In the case of people with weak physical strength, there is a danger that they may lead to safety accidents when carrying heavy loads. In this paper, we propose 'Smart Palm capable of automatic transportation function', applying small smart vehicles that follow workers to existing smart farms to improve and prevent these problems. It is a smart farm that performs the control functions of the existing smart greenhouse environment, installs the rail for each trough, and has a vehicle that follows the worker. The smart app can directly control the greenhouse and the vehicle remotely manually.

The system for UAV to approach to a ship and to monitor via AIS information (AIS 정보를 활용한 UAV의 효율적인 선박 접근 및 모니터링을 위한 시스템)

  • Kim, Byoung-kug;Hong, Sung-hwa
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.502-504
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    • 2021
  • The application area based on UAV(Unmanned Aerial Vehicle) is continuously increasing as time passing by. In particular the UAVs which consist of more than four horizontal propellers and the functionality of VTOL (Vertical Take-Off and Landing) are utilized in diverse platforms and application products due to their safety and aerodynamically simpler design and architectures. Most UAV missions are controlled by GCSs(Ground Control System). The GCSs are generally connected to the internet and get electrical map and environmental information such as temperature, humidity, wind direction and so on. In this paper, we design a system that UAV has capability of approaching to a certain ship and monitoring her efficiently by using AIS(Auto Identification System) information.

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Deep learning approach to generate 3D civil infrastructure models using drone images

  • Kwon, Ji-Hye;Khudoyarov, Shekhroz;Kim, Namgyu;Heo, Jun-Haeng
    • Smart Structures and Systems
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    • v.30 no.5
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    • pp.501-511
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    • 2022
  • Three-dimensional (3D) models have become crucial for improving civil infrastructure analysis, and they can be used for various purposes such as damage detection, risk estimation, resolving potential safety issues, alarm detection, and structural health monitoring. 3D point cloud data is used not only to make visual models but also to analyze the states of structures and to monitor them using semantic data. This study proposes automating the generation of high-quality 3D point cloud data and removing noise using deep learning algorithms. In this study, large-format aerial images of civilian infrastructure, such as cut slopes and dams, which were captured by drones, were used to develop a workflow for automatically generating a 3D point cloud model. Through image cropping, downscaling/upscaling, semantic segmentation, generation of segmentation masks, and implementation of region extraction algorithms, the generation of the point cloud was automated. Compared with the method wherein the point cloud model is generated from raw images, our method could effectively improve the quality of the model, remove noise, and reduce the processing time. The results showed that the size of the 3D point cloud model created using the proposed method was significantly reduced; the number of points was reduced by 20-50%, and distant points were recognized as noise. This method can be applied to the automatic generation of high-quality 3D point cloud models of civil infrastructures using aerial imagery.