• Journal of Advanced Navigation Technology
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• v.28 no.3
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• pp.375-378
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• 2024

The instrument landing system (ILS) is an international standard established by the International civil aviation organization (ICAO) as one of the landing support facilities for aircraft. This system consists of a localizer (LOC) that provides orientation information about the runway to indicate the approach direction, a glide path (GP) that indicates the appropriate approach glide slope, and three of marker beacons (MB) that indicates the distance to the runway landing edge. In this study, we predicted the received signal strength by altitude and distance for LOC signals transmitted from the ground and analyzed the difference with the signal strength measured in the actual environment. Our objective is to develop signal strength prediction technology and apply it to the real environment.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.1-8
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• 2024

As the Internet of Things (IoT) has gained significant prominence in our daily lives, most IoT devices rely on over-the-air technology to automatically update firmware or software remotely via the network connection to relieve the burden of manual updates by users. And preserving security for OTA interface is one of the main requirements to defend against potential threats. This paper presents a simulation of an attack scenario on the commoditized System-on-a-chip, ESP32 chip, utilized for drones during their OTA update process. We demonstrate three types of attacks, WiFi cracking, ARP spoofing, and TCP SYN flooding techniques and postpone the OTA update procedure on an ESP32 Drone. As in this scenario, unpatched IoT devices can be vulnerable to a variety of potential threats. Additionally, we review the chip to obtain traces of attacks from a forensics perspective and acquire memory forensic artifacts to indicate the SYN flooding attack.

• Korean Journal of Artificial Intelligence
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• v.12 no.3
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• pp.17-24
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• 2024

This study aims to derive a technology development roadmap in related fields by utilizing patent documents of financial technology. To this end, patent documents are extracted by dragging technical keywords from prior research and related reports on financial technology. By applying the TF-IDF (Term Frequency-Inverse Document Frequency) technique in the extracted patent document, which is a text mining technique, to the extracted patent documents, the Latent Dirichlet Allocation (LDA) algorithm was applied to identify the keywords and identify the topics of the core technologies of financial technology. Based on the proportion of topics by year, which is the result of LDA, promising technology fields and convergence fields were identified through trend analysis and similarity analysis between topics. A first-stage technology development roadmap for technology field development and a second-stage technology development roadmap for convergence were derived through network analysis about the technology data-based integrated management system of the high-dimensional payment system using RF and intelligent cards, as well as the security processing methodology for data information and network payment, which are identified financial technology fields. The proposed method can serve as a sufficient reason basis for developing financial technology R&D strategies and technology roadmaps.

• The Korean Journal of Air & Space Law and Policy
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• v.30 no.2
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• pp.373-401
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• 2015

The UAV(Unmanned Aerial Vehicle, Drone) technology has been undergoing rapid progress, accompanied with a growth in the market. However, domestic industry standards and technology lag behind such progress happening on the international scene, and in particular in developed countries. Related regulations are also deemed lacking to address the issues that arise with such developments. Meanwhile, as the rise of UAV technology is a fairly recent phenomenon, the gap between Korea and developed countries is not too big. As this technology has high relevance to information and communication technologies, it also offers ample leeway for Korea to catch up in the field of UAV. As such, this paper seeks to provide a survey of the overall technology, market and regulations concerning UAV to identify possible measures on how to address any issues that may arise through proper policies. Due to the progress made in the field of UAV technology and increased penetration rate, striking a right balance between putting in place a proper regulatory system and establishing policies that foster growth in the field has risen as a very important issue. While the importance of establishing a legal system that helps prevent possible risks is indeed important, it must also be acknowledged that excessive regulation can also hinder technological progress. This, in turn would stagnate the market and dampen the entrepreneurial spirit in the society. In the case of new, practical technologies such as UAV, a prompt establishment of regulatory systems and policy measures in terms of policies is a requisite. In brief, in order to promote progress in the UAV industry and at the same time, for public safety and the protection of privacy, there should be an appropriate level on the easing and tightening of the regulation.

• Journal of Institute of Convergence Technology
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• v.5 no.2
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• pp.13-19
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• 2015

Recently, quadcopters have been popular as aerial drones. The structure of quadcopters is simpler than traditional helicopters and they are easy to construct and maneuver. Various hardware platforms for quadcopters have been developed. However, the controller design is not easy due to the requirement of 6-DOF flights using 4 rotors(control inputs)(under-actuated systems). In order to overcome the underactuation problem, various control methods - PID, LQR, $H_{\infty}$, SMC, backstepping control, and etc. - have been suggested for the control of quadcopters. In this paper, dynamic features and control methods of quadcopters are reviewed and evaluated. Future works are proposed for designing the advanced controllers of quadcopters.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.219-222
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• 2017

드론 기술이 발전하면서 물품 배달에 드론이 이용되는 등 드론은 우리 생활 전반에 자리 잡으려 하고 있다. 하지만 대부분의 드론이 기본적인 사용자 인증 과정도 없이 보안에 매우 취약한 상태이다. 본 논문에서는 드론의 취약점을 증명하기 위해 Parrot사의 AR. Drone을 대상으로 Wi-Fi 연결을 통한 인증해제, telnet을 통한 명령 수행, ftp 서버를 통한 파일 변조 공격을 적용해 보고, 이러한 취약점에 대해 무선 AP의 비밀번호를 복잡하게 설정하는 방법, 무선 침입 방지 시스템을 사용하는 방법, NAP 또는 NAC 솔루션을 구축하는 방법과 같은 적절한 대응 방안을 논의한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.600-601
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• 2018

미세먼지가 심각한 요즘 폐질환 환자 수가 점점 늘어나고 있다. 현재 미세먼지 농도를 줄일 수 있는 근본적인 방안은 없으며, 폐질환 환자는 외출 시 마스크를 착용하거나 자제하는 방법뿐이다. 외출을 하기 전에는 한국환경공단에서 제공해주는 미세먼지 농도의 정보를 가지고 마스크 착용 유무를 판단해야만 한다. 하지만, 제공받은 미세먼지 데이터의 범위가 넓기 때문에 가까운 곳으로 잠깐 외출하는 경우 먼지 농도의 정확한 정보를 제공받기가 어렵다. 10m 정도 앞의 거리의 미세먼지 농도를 알 수 있다면 외출 시 도움이 될 것이라 생각하였다. 따라서 드론을 이용하여 미세먼지 농도를 측정하여서 내가 가고자 하는 가까운 장소의 미세먼지를 측정하는 연구를 하고자 한다. 이를 통해 내가 원하는 가까운 곳의 미세먼지 농도를 자유롭게 알고자 한다.

• Journal of Positioning, Navigation, and Timing
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• v.11 no.2
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• pp.109-117
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• 2022

This paper proposes a method for detecting flight anomalies of drones through the difference between the command of flight controller (FC) and the navigation solution. If the drones make a flight normally, control errors generated by the difference between the desired control command of FC and the navigation solution should converge to zero. However, there is a risk of sudden change or divergence of control errors when the FC control feedback loop preset for the normal flight encounters interferences such as strong winds or navigation sensor abnormalities. In this paper, we propose the method with a deep neural network model that predicts the control error in the normal flight so that the abnormal flight state can be detected. The performance of proposed method was evaluated using the real-world flight data. The results showed that the method effectively detects anomalies in various situation.

• Electronics and Telecommunications Trends
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• v.36 no.2
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• pp.12-21
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• 2021

Intelligent radar sensors are applied in many industries, such as the automobile, aerospace, and defense industries (for security and surveillance), and for traffic monitoring and management as well as environmental and weather monitoring. Furthermore, they are used in smart cities, homes, and buildings, wherein intelligent motion sensing is required in daily life. It is mentioned that it is being used. In addition, ETRI introduces a phased array-based intelligent radar for drone detection and a human name detection radar technology based on which humans can be detected in case of a disaster.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.153-155
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• 2022

Recently, we are using robots and drones to collect images. However, as the robot or drone is shaken by external influences, pre-processing technology to register images is required. Therefore, in this paper, we use autonomous robots, drones dataset and improve the quality of shaken image data through the Deblur deep learning model. We confirmed through the experimental results that the shaken images were registered and evaluated the model.