• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.143-145
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• 2012

끊이지 않는 원룸 침입 범죄 발생으로 인해 대부분의 원룸 거주자들은 긴장과 불안감을 느끼면서 생활하고 있다. 본 논문에서는 조도센서와 마이크 그리고 카메라 디바이스를 이용한 저전력 침입감지 기능과 침입자 감지시 알람과 자동 녹화 기능, 그리고 자동신고와 주변지인에게 도움요청SMS 전송 기능을 탑재한 스마트폰 기반 저전력 올인원 무인 경비 시스템 을 개발하였다 본 연구에서 개발한 시스템을 대학가 원룸에 실제 설치 후 실험을 통하여 정확성과 실용성, 그리고 에너지효율성을 확인하였다.

• Electronics and Telecommunications Trends
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• v.32 no.1
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• pp.82-92
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• 2017

최근 들어 무인기와 무선통신기술의 비약적인 발전은 무인기들을 국가 공역에 진입시켜 운행할 필요성과 택배, 긴급 통신영역 확장, 재해 감시 및 대처, 위험지역 정찰, 항공촬영과 같은 다양한 분야로의 활용에 대한 요구를 크게 증가시켰다. 다수의 무인기를 안전하게 운행 및 조종하기 위해서는 고신뢰성 및 고보안성을 제공하는 무인기 제어 전용 네트워크가 요구되며, 이러한 네트워크를 무인기 제어용 통합 네트워크라고 한다. 본고는 무인기 제어용 통합 네트워크의 보안 적용 구간을 분류하고, 구간별로 보안 요구사항과 요구사항을 달성할 수 있는 보안기술들을 차례로 제시한다. 또한, 향후에 무인기 제어용 통합 네트워크의 보안성을 강화하기 위해 개선되어야 하는 부분들을 제시한다.

• International Journal of Aeronautical and Space Sciences
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• v.17 no.2
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• pp.204-213
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• 2016

A differential game theory based approach is used to develop an automated maneuver generation algorithm for Within Visual Range (WVR) air-to-air combat of unmanned combat aerial vehicles (UCAVs). The algorithm follows hierarchical decisionmaking structure and performs scoring function matrix calculation based on differential game theory to find the optimal maneuvers against dynamic and challenging combat situation. The score, implying how much air superiority the UCAV has, is computed from the predicted relative geometry, relative distance and velocity of two aircrafts. Security strategy is applied at the decision-making step. Additionally, a barrier function is implemented to keep the airplanes above the altitude lower bound. To shorten the simulation time to make the algorithm more real-time, a moving horizon method is implemented. An F-16 pseudo 6-DOF model is used for realistic simulation. The combat maneuver generation algorithm is verified through three dimensional simulations.

• 한국기계연구소 소보
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• s.19
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• pp.171-180
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• 1989

The automation of textile machinery in the fabric manufacture is strongly demanded in order to improve the industrial structure related to labour-force and cost curtailment, in addition, to keep step with the various and small production system and the consumption tendency requesting a high quality fabrics. In this thesis, the technology applying the computer to an air jet loom and characteristics obtained from it are derived. To efficently apply an automized and unmanned textile machinery, an air jet loom is equipped with the let-off, take-up and weft insertion device attached a central processing unit(CPU) which can automatically operate according to a program. As a result, an air jet loom is available for the factory automation, which has advantages including productivity promotion, high quality security, energy savings, specification & variety, efficient production control, in fabric manufacturing process.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.67 no.1
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• pp.42-46
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• 2018

In this paper, we propose fast object detection method of the cars by applying YOLOv2(You Only Look Once version 2) and UAVs (Unmanned Aerial Vehicles) while on the highway. We operated Darknet, OpenCV, CUDA and Deep Learning Server(SDX-4185) for our simulation environment. YOLOv2 is recently developed fast object detection algorithm that can detect various scale objects as fast speed. YOLOv2 convolution network algorithm allows to calculate probability by one pass evaluation and predicts location of each cars, because object detection process has simple single network. In our result, we could find cars on the highway area as fast speed and we could apply to the real time.

• Journal of Communications and Networks
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• v.6 no.2
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• pp.156-162
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• 2004

In recent years, mobile ad-hoc networks have received a great deal of attention in both academia and industry to provide anytime-anywhere networking services. As wireless networks are rapidly deployed, the security of wireless environment will be mandatory. In this paper, we describe a group key management architecture and key agreement protocols for secure communication in mobile ad-hoc wireless networks (MANETs) overseen by unmanned aerial vehicles (UAVs). We use implicitly certified public keys method, which alleviates the certificate overhead and improves computational efficiency. The architecture uses a two-layered key management approach where the group of nodes is divided into: 1) Cell groups consisting of ground nodes and 2) control groups consisting of cell group managers. The chief benefit of this approach is that the effects of a membership change are restricted to the single cell group.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.67 no.4
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• pp.227-232
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• 2018

In this paper, we propose a faster object detection and tracking method using Deep Learning, UAV(unmanned aerial vehicle), Kalman filter and YOLO(You Only Look Once)v3 algorithms. The performance of the object tracking system is decided by the performance and the accuracy of object detecting and tracking algorithms. So we applied to the YOLOv3 algorithm which is the best detection algorithm now at our proposed detecting system and also used the Kalman Filter algorithm that uses a variable detection area as the tracking system. In the experiment result, we could find the proposed system is an excellent result more than a fixed area detection system.

• The Journal of Korea Robotics Society
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• v.13 no.4
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• pp.220-229
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• 2018

In the midst of disaster, such as an earthquake or a nuclear radiation exposure area, there are huge risks to send human crews. Many robotic researchers have studied to send UGVs in order to replace human crews at dangerous environments. So far, two-dimensional camera information has been widely used for teleoperation of UGVs. Recently, three-dimensional information based teleoperations are attempted to compensate the limitations of camera information based teleoperation. In this paper, the 3D map information of indoor and outdoor environments reconstructed in real-time is utilized in the UGV teleoperation. Further, we apply the LTE communication technology to endure the stability of the teleoperation even under the deteriorate environment. The proposed teleoperation system is performed at explosive disposal missions and their feasibilities could be verified through completion of that missions using the UGV with the Explosive Ordnance Disposal (EOD) team of Busan Port Security Corporation.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.1
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• pp.51-59
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• 2024

Uumanned aerial vehicle(UAV) systems have been used in various fields including industry and military. According to increasing the number of UAVs, the attention on interoperable UAV systems is increasing. In this paper, we propose the practical design of datalink in interoperable UAV systems. For practical design, we firstly review the operational scenarios in the interoperable UAV system. We then propose the system model of the datalink in interoperable UAV system. Consequently, the technical components such as the design of the network, the link management, the support of the multicast transmission, the support for autonomous mission and flight safety, and the datalink security are derived and reviewed for the practical design.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1135-1142
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• 2017

In this paper, we propose IoT based smart CCTV security service to prevent crime in blind spot and prevent unexpected fire or danger. In the proposed method, a RC (Radio Control) car is made using Raspberry pie, and a camera and various modules are installed in an RC car. It was then implemented using Raspbian O / S, Apache Web Server, Shell script, Python, PHP, HTML, CSS, Javascript. The RC car provides a security service that informs the manager of the situation by judging the risk of the scene with modules such as video, voice and temperature. Experimental results show that the transmission time of video and audio information is less than 0.1 second. In addition, real-time status transmission was possible in AVG, emergency, and manual mode. It is expected that the proposed method will be applied to the development of smart city by applying it to unmanned vehicles, drones and the like.