• Title/Summary/Keyword: Drone Industry

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Development of online drone control management information platform (온라인 드론방제 관리 정보 플랫폼 개발)

  • Lim, Jin-Taek;Lee, Sang-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.4
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    • pp.193-198
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    • 2021
  • Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

Utilization of Subway Stations for Drone Logistics Delivery in the Post-Pandemic Era (포스트 팬데믹 시대 드론 물류배송을 위한 지하철 역사의 활용방안)

  • Moon, Sang-Won;Lee, Han-Byeol;Kang, Hoon
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.375-383
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    • 2021
  • Due to COVID-19, people are building new lifestyles such as online shopping, online travel, and video conferencing by limiting going out and gatherings. Such rapid social change is causing new problems and deepening existing problems at the same time. In particular, as online consumption increases significantly, traffic congestion, air pollution, and the heavy workload of delivery drivers are deepening in the daily logistics industry, and face-to-face delivery is emerging as a new problem. With the advent of the 4th industrial revolution, unmanned delivery using drones, artificial intelligence, and autonomous driving is emerging as an alternative to the existing logistics industry. However, space for logistics facilities and securing additional logistics sites due to drone flight are emerging as new problems to be solved. Therefore, it is intended to link additional services such as logistics movement, storage, and delivery by utilizing the existing transportation business, the subway, as a space for a logistics facility for drones that can solve existing problems and new problems.

A Study on the Response Plan through the Analysis of North Korea's Drones Terrorism at Critical National Facilities - Focusing on Improvement of Laws and Systems - (국가중요시설에 대한 북한의 드론테러 위협 분석을 통한 대응방안 연구 - 법적·제도적 개선을 중심으로 -)

  • Choong soo Ha
    • Journal of the Society of Disaster Information
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    • v.19 no.2
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    • pp.395-410
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    • 2023
  • Purpose: The purpose of this study was to analyze the current state of drone terrorism response at such critical national facilities and derive improvements, especially to identify problems in laws and systems to effectively utilize the anti-drone system and present directions for improvement. Method: A qualitative research method was used for this study by analyzing a variety of issues not discussed in existing research papers and policy documents through in-depth interviews with subject matter experts. In-depth interviews were conducted based on 12 semi-structured interviews by selecting 16 experts in the field of anti-drone and terrorism in Korea. The interview contents were recorded with the prior consent of the study participants, transcribed back to the Korean file, and problems and improvement measures were derived through coding. For this, the threats and types were analyzed based on the cases of drone terrorism occurring abroad and measures to establish anti-drone system were researched from the perspective of laws and systems by evaluating the possibility of drone terrorism in the Republic of Korea. Result: As a result of the study, improvements to some of the problems that need to be preceded in order to effectively respond to drone terrorism at critical national facilities in the Republic of Korea, have been identified. First, terminologies related to critical national facilities and drone terrorism should be clearly defined and reflected in the Integrated Defense Act and the Terrorism Prevention Act. Second, the current concept of protection of critical national facilities should evolve from the current ground-oriented protection to a three-dimensional protection concept that considers air threats and the Integrated Defense Act should reflect a plan to effectively install the anti-drone system that can materialize the concept. Third, a special law against flying over critical national facilities should be enacted. To this end, legislation should be enacted to expand designated facilities subject to flight restrictions while minimizing the range of no fly zone, but the law should be revised so that the two wings of "drone industry development" and "protection of critical national facilities" can develop in a balanced manner. Fourth, illegal flight response system and related systems should be improved and reestablished. For example, it is necessary to prepare a unified manual for general matters, but thorough preparation should be made by customizing it according to the characteristics of each facility, expanding professional manpower, and enhancing response training. Conclusion: The focus of this study is to present directions for policy and technology development to establish an anti-drone system that can effectively respond to drone terrorism and illegal drones at critical national facilities going forward.

Development of a Motor Speed Controller of Drones Considering Voltage Drop of Battery (배터리 전압 강하를 고려한 드론 모터 속도 제어기 개발)

  • Lee, Sunghee;Yun, Bo Ram;Kim, Deok Yeop;Kim, Hwangsoo;Lee, Woo Jin
    • Journal of KIISE
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    • v.44 no.6
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    • pp.601-606
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    • 2017
  • Recently, we have frequently encountered flying drones with the growth of drone industry. However, it is difficult for a driver to stabilize the motor speed of drones, since the voltage of a Lithium polymer battery used in drones may suddenly drop or rise when its power is exhausted. The instability of the motor speed precludes the drone from maintaining a flight altitude, so that the fuselage of a drone performs ascending and descending repeatedly. For solving this problem, existing techniques either add a compensator considering voltage drop of battery or change the control model. Since these techniques use hardware-implemented modules or depend on motor type and experimental results, there is a problem that new suitable modules should be implemented in accordance with the used motor of the fuselage. For solving this problem, in this paper, we implement a motor speed controller in the firmware of drones by considering voltage drop of battery to enhance drone flight stability.

Design of Deep Learning-Based Automatic Drone Landing Technique Using Google Maps API (구글 맵 API를 이용한 딥러닝 기반의 드론 자동 착륙 기법 설계)

  • Lee, Ji-Eun;Mun, Hyung-Jin
    • Journal of Industrial Convergence
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    • v.18 no.1
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    • pp.79-85
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    • 2020
  • Recently, the RPAS(Remote Piloted Aircraft System), by remote control and autonomous navigation, has been increasing in interest and utilization in various industries and public organizations along with delivery drones, fire drones, ambulances, agricultural drones, and others. The problems of the stability of unmanned drones, which can be self-controlled, are also the biggest challenge to be solved along the development of the drone industry. drones should be able to fly in the specified path the autonomous flight control system sets, and perform automatically an accurate landing at the destination. This study proposes a technique to check arrival by landing point images and control landing at the correct point, compensating for errors in location data of the drone sensors and GPS. Receiving from the Google Map API and learning from the destination video, taking images of the landing point with a drone equipped with a NAVIO2 and Raspberry Pi, camera, sending them to the server, adjusting the location of the drone in line with threshold, Drones can automatically land at the landing point.

Research on how IoT can be taken into account when start encouraging Startups for the elderiy (고령층 일자리연계를 위한 드론테크산업 교육에 관한 연구)

  • Kim, Ki-hyuk;Ahn, Gwi-Im;Lim, Hwan-Seob;Jung, Deok-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.430-432
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    • 2016
  • It seems that the hottest UAV drone market shows a similar move to that of smartphone. Depart from a communication medium, smartphone incorporates the role of cameras and game players. Likewise, drone will be versatile in the future. For example, drone was developed as war weapons but now it is getting close to our real life as toy or tool for aerial photography. In this paper, we studied how to bring the aging population to drone industry. Previously, controlling skills and taking aerial photography seemed to have nothing to do with citizen seniors. However, we try to show any positive relationship between those, thus creating more job opportunities in this paper.

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A Low-Cost Approach for Path Programming of Terrestrial Drones on a Construction Site

  • Kim, Jeffrey;Craig, James
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.319-327
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    • 2022
  • Robots for construction sites, although not deeply widespread, are finding applications in the duties of project monitoring, material movement, documentation, security, and simple repetitive construction-related tasks. A significant shortcoming in the use of robots is the complexity involved in programming and re-programming an automation routine. Robotic programming is not an expected skill set of the traditional construction industry professional. Therefore, this research seeks to deliver a low-cost approach toward re-programming that does not involve a programmer's skill set. The researchers in this study examined an approach toward programming a terrestrial-based drone so that it follows a taped path. By doing so, if an alternative path is required, programmers would not be needed to re-program any part of the automated routine. Changing the path of the drone simply requires removing the tape and placing a different path - ideally simplifying the process and quickly allowing practitioners to implement a new automated routine. Python programming scripts were used with a DJI Robomaster EP Core drone, and a terrain navigation assessment was conducted. The study examined the pass/fail rates for a series of trial run over different terrains. The analysis of this data along with video recording for each trial run allowed the researchers to conclude that the accuracy of the tape follow technique was predictable on each of the terrain surfaces. The accuracy and predictability inform a non-coding construction practitioner of the optimal placement of the taped path. This paper further presents limitations and suggestions for some possible extended research options for this study.

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A Study on the Application and Analysis of FPV Drones Using Virtual Reality (가상현실을 활용한 FPV드론에 대한 분석 및 활용분야에 대한 연구)

  • Kang, Sung-Jun;Song, Eun-jee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.312-314
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    • 2021
  • The government sees drones as a key future growth engine, prepares plans to foster the nation-led drone industry, conducts pilot projects in various fields, such as transporting goods, forest protection, monitoring, facility safety diagnosis, and is actively in the use of drones. In particular, the police are attempting to use drones to search for missing people. However, existing drones have a short operating time due to the limitation of battery time. The effectiveness of the existing drones is insufficient because it has no choice but to search by aerial photography on the mountain tops in hillside or dense forest. In this study, we propose an FPV drone that utilizes virtual reality as a drone that can overcome the limitations of searching for missing people.

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Technology Acceptance of Industry 4.0 Applying UTAUT2: Focusing on AR and Drone Services (UTAUT2를 응용한 4차 산업 기술수용에 관한 연구: 증강현실(AR)과 드론 서비스를 중심으로)

  • Kim, Ki-Bong;Chung, Byoung-Gyu
    • Journal of Information Technology Applications and Management
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    • v.26 no.6
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    • pp.29-46
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    • 2019
  • This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

Analysis of the Status of Basic Industries in Military Drone (군사 드론의 기초산업 현황 분석)

  • Han, Hoon
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.493-498
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    • 2020
  • The fourth industrial revolution is the first topic thrown by Klaus Schwab at the Davos World Economic Forum in January 2016, meaning the next industrial revolution led by the Internet of Things (IOT), artificial intelligence (AI), robot technology and life sciences. In addition, in our lives, humans, computers and machines are connected organically, and organic relationships are evolving and developing at a furious rate in all areas of life. Since the 1953 armistice agreement, South Korea has remained in a state of confrontation with North Korea, and there have been continued fighting by the North, including naval skirmishes in the West Sea, artillery attacks on Yeonpyeong Island, the sinking of the Cheonan warship, and unmanned aerial vehicles and ankle mines. To prepare for such a local initiative, our military is constantly preparing and will have to strengthen its combat capabilities by developing and introducing advanced military equipment. After all, the military drone industry linked to the Fourth Industrial Revolution following the development of new war should continue its research on military drones in line with accurate diagnosis and the rapid development of future science and technology and IT technologies.