• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.211-219
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• 2020

One of the major advancements of the Fourth Industrial Revolution is the use of Internet of Drones (IoD), which combines the Internet of Things (IoT) and drone technology. IoD technology is especially important for efficiently and economically operating C4ISR operations in actual battlefields supporting various combat situations. The purpose of this study is to solve the problems of limited battery capacity of drones and lack of budgeting criteria for military drone transcription, introduction, and operation. If the mission area is defined and corresponding multi-drone hovering check points and mission completion time limits are set, then an energy and time co-optimized scheduling and operation control scheme is needed. Because such a scheme does not exist, in this paper, a Drone Force Deployment Optimization (DFDO) scheme is proposed to help schedule multi-drone operation scheduling and networked based remote multi-drone control.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.58-59
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• 2016

최근에 재난현장에는 사물인터넷기반의 다양한 장비나 장치들이 많이 활용되고 있으며, 이중에서도 드론이 심심찮게 활용이 되고 있다. 우리나라의 경우도 산림보호활동이나 화재가 발생하는 지역에 드론을 활용하여 재난대응을 하고 있다. 특히나 작년 네팔에서 지진으로 많은 인명과 재산 손실을 보았는데 이때 지난지역을 수색하는 등, 드론의 역할이 상당히 컸던 것으로 회자되고 있다. 본 논문은 최근에 산악구조 활동으로 생존자의 탐색을 위한 드론의 도입을 준비하며 모니터링 하였던 내용을 정리하고자 한다. 드론에 대한 국내의 현황을 먼저 알아보고, 실제적으로 몇 가지 필요한 요소를 나열한다. 산악구조활동에서 드론에 대한 제약인 최소 3km 이상의 원거리 탐색과 최소 30분 이상의 비행, 영상의 선명도, 열화상 등 재난구조에 필수적인 요소이다. 결과적으로 현재의 재난구조용 드론은 국내의 기술 기반이 취약하여 비행위주이고, 응용분야에 대한 깊이 있는 기술이전이 함께 이루어져야 만 드론에 대한 재난구조의 역할이 아닌가 판단한다.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.79-88
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• 2021

As drone industry increase with the advent of the 4th industrial revolution, yet ensured the safety of a drone crashing and incurring accidents which may result in significant damage to human life and assets. Thus, the authentication of drone safety is very urgent. For this reason, many countries are in need of institutional improvement in the aspect of authentication/legal systems by considering the importance of safety for drone. In this study, the regulations, research, and standards concerning drone safety are compared and analyzed. The analysis results can be used for improving the regulations of drone safety and standardization. The study can be contributed to invigorate drone industry by ensuring drone safety.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.31-36
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• 2020

The remarkable change in the automobile industry, which is a traditional industrial field, is now evolving into a form of moving toward autonomous functions rather than humans due to various convenience functions and automatic driving or autonomous driving technologies if the person was central when driving the car. This situation is expanding to various industries such as the aviation industry and the drone market, as well as the robot market. The drone market in the aviation industry is being used in various fields due to the unmanned nature of drone operation. Among them, military drones are secret and due to the specificity of technology, details are not disclosed, but as a collection of advanced technologies, they have played a key role in drone development. In this study, the current status of China and the European Union, including the United States, which are major competitors in the drone field, was investigated, and the technologies of major countries were compared and analyzed through the characteristics and operational specifications of the drones currently in operation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.163-169
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• 2024

Anti-drone (anti-drone) is at the center of the debate over the failure to shoot down a North Korean drone that invaded the metropolitan area at the end of 2022. Anti-drone is a means of detecting and restraining drone flights in unauthorized airspace. Anti-drone technology is a key defense system for drone technology that is essential in the current illegal situation of various drones. We must be alert in the war in Ukraine, where the role of drones has increased. Drone attacks, which are not easy to defend, may determine the victory or defeat of the war. Competition for anti-drone technology development in countries around the world will rise. When new anti-drone technology emerges, drones that go beyond it will be developed. This study presented the current status of anti-drone by analyzing the defense system of domestic drones.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.93-99
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• 2020

It seems to be increased rapidly that practical uses of intelligent Dron for public mission performance such as surveillance, prevention of disaster accident, relief etc with Dron technology development. Dron is needed for major technology realization of detection and trace technology of target, flight control and obstacle avoidance during flighting, detection and control of landing point functions to use smart safety-city platform construction. This dron system cause a great ripple effect technically and promote industrialization in the field of new technology. In this paper, an effective analysis and design method of dron system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Journal of Internet of Things and Convergence
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• v.2 no.4
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• pp.9-14
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• 2016

The range of use of drones is gradually expanding from military to commercial applications. In the field of agriculture, there have been many studies to utilize drones, but there have been relatively few efforts to utilize drones in the marine and fisheries sectors. In this paper, we propose drones and system requirements for marine and fisheries applications. Marine and fisheries monitoring using drones is expected to be more effective and cost effective than existing methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.31-36
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• 2022

Recently, drones are being used in various fields, and drone technology is also developing. The risks of drones are increasing, then technology to detect drones is important. However, it is extremely difficult to detect and recognize drones due to the low level radar cross section of the commercial drones. In this paper, a signal processor structure that was mounted the miniaturized and light-weighted was designed. in order to process large amounts of data in real time, parallel processing was performed for each channel and an algorithm was applied to shorten the operation time in each step. As a test of verifing the detection performance through test, it was confirmed that the structure design works in real time.

• The Optical Journal
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• s.158
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• pp.58-60
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• 2015

드론이 인기다. 드론이 뜨고 있다. 드론은 왜 인기인가? 왜 드론이 인기인지를 인식해보아야 한다. 결론부터 이야기하면 드론이 인기인 이유는 드론이 MMM이기 때문이다. MMM은 필자가 2년 전 쯤에 만든 신조어로 Multipurpose Mobile Machine의 약자다. 다목적 이동 기계라는 말이다. 우리말로 줄이면 다이기(多移機)쯤 된다. 드론은 다목적 이동 기계, 즉 다이기이다. 인터넷이 군용으로 사용되다가 민간이 사용하게 된 것처럼 드론 역시 정찰, 감시, 폭격 등의 군사용으로 출발했지만, 민간이 사용하는 드론의 용도는 무척 다양하다. 사진 촬영, 영화 제작, 드라마 촬영, 음식 배달, 씨앗의 파종과 농약의 살포, 현장 탐사, 경계 근무 등 정말 다용도에 사용되고 있다. 중요한 것은 드론 각각이 다목적으로 사용될 수 있다는 것이다. 이는 드론이 단지 물리적 기계인 것이 아니라 스마트 기계로, 스마트폰과 같은 SW중심 기기와 드론에 내장된 OS와 SW에 의한 제어를 통해 비로소 실현된다. 즉, 드론은 MMM이기도 하지만, 정확히 SMM(Smart Mobile Machine)이기 때문에 그 잠재성이 인정받고 있는 것이다. 지금까지 스마트 폰, 스마트 워치, 스마트 TV 등은 모두 스마트 기기이기는 하지만 스마트 이동 기기는 아니다. 한편, 로봇 청소기 등 기존의 가정용 로봇이나 산업용 로봇은 대부분 단일목적 이동기기이거나 다목적 고정 기계이므로, 로봇이라 부르기가 민망한 기계들이었다. 필자는 드론이 이렇듯 새로운 스마트 기기 산업과 기존의 로봇 산업이 갈 길 또는 가고 있는 길을 보여주고 있다는 점에서 관심을 갖는다. 스마트 기기 산업의 관점에서는 이제 비로소 고정형(스마트TV), 부착형(스마트 워치), 휴대형(스마트 폰) 스마트 기기 산업에서 다목적 스마트 이동 기계라는 새로운 블루 오션 창출 산업이기에 의미가 있다.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.27-37
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• 2020

Recently, big data is rapidly emerging as a core technology in the 4th industrial revolution. Further, the utilization and the demand of drones are continuously increasing with the development of the 4th industrial revolution. However, as the drones usage increases, the risk of drones falling increases. Drones always have a risk of being able to fall easily even with small problems due to its simple structure. In this paper, in order to predict the risk of drone fall and to prevent the fall, ESC (Electronic Speed Control) is attached integrally with the drone's driving motor and the acceleration sensor is stored to collect the vibration data in real time. By processing and monitoring the data in real time and analyzing the data through big data obtained in such a situation using a Fast Fourier Transform (FFT) algorithm, we proposed a prediction system that minimizes the risk of drone fall by analyzing big data collected from drones.