• Title/Summary/Keyword: reconnaissance

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Development of Autonomous Reconnaissance Flight Simulation for Unmanned Aircraft to Derive Flight Operating Condition (자율정찰비행 무인항공기의 비행운영조건 고찰을 위한 비행시뮬레이션 개발)

  • Seok, Min Joon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.4
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    • pp.266-273
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    • 2019
  • The efficiency and effectiveness of mission performance can be greatly changed according to the operating conditions such as the number of manned aircraft, flight altitude, and so on, in performing search and reconnaissance missions using a large number of small reconnaissance unmanned aerial vehicles. However, it is not easy to determine which operating conditions are most reasonable. Therefore, in this study, we developed an unmanned airplane flight simulation that can detect and identify the target while avoiding collision according to autonomous flight, suggesting a way to derive operating conditions when operating a large number of unmanned aerial vehicles.

Target Localization Method using the Detection Signal Strength of Seismic Sensors for Surveillance Reconnaissance Sensor Network (감시정찰 센서 네트워크에서의 지진동센서 탐지 신호 세기를 이용한 표적 측위 방법)

  • Hyeon-Soo Im;In-Yong Hwang;Hyung-Seok Kim;Sang-Heon Shin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1291-1298
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    • 2023
  • Surveillance reconnaissance sensor network is used for surveillance in wartime and area of operation. In this paper, we propose a target localization method using the detection signal strength of seismic sensors. Relay equipment calculates the target location using coordinate information and detection signal strength of the seismic sensors. Target localization error deviation due to environmental factors was minimized by subtracting the dynamic offset when calculating the target location. Field test shows improvement of target localization through reduction of errors. The average error was decreased to 3.62m. Up to 62% improved result was obtained compared to weighted centroid localization method.

A Study on Sensor Collection Planning based on Target Scheduling and Deviation Correction for Strategic UAV Surveillance and Reconnaissance (전략급 무인기의 감시정찰을 위한 표적 스케줄링 및 편차 보정 기반 촬영계획 자동화 기술 연구)

  • Junghee Cho;Yunjeong Choi;Hayrim Lee;Soyoung Jeong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.177-188
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    • 2024
  • The strategic UAV for theater level ISR(Intelligence, Surveillance and Reconnaissance) mission typically has numerous ground targets over area of responsibility(AOR) or area of operation(AO). It is necessary to automatically incorporate these multitude of ground targets into mission planning process in order to collect ISR images before actual flight mission. In addition, weather information such as wind direction and/or velocity may have significant impacts on the qualities of collected sensor images, especially in SAR(Synthetic Aperture Radar) images. Thus weather factors in the operation altitude should also be considered in the mission planning stage. In this study, we propose a novel mission planning scheme based on target scheduling and deviation correction method incorporating weather factors.

Random Waypoint Mobility Model for UAV Group Reconnaissance based on Regional Arrival Count (영역별 탐색수를 고려한 그룹 무인기 정찰용 Random Waypoint 이동성 모델)

  • Jo, Yong-Il;Jung, Yong-Min;Ha, Ok-Kyoon;Kim, Kyong Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.7-8
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    • 2016
  • Ad-hoc 네트워크 기술이 발달함에 따라 FANET(Flying Ad-Hoc Notworks)을 이용한 그룹 무인기 정찰이 요구되고 있다. 본 논문에서는 자율비행을 위한 효율적인 그룹 무인기 정찰을 위하여 새로운 이동성 모델을 제안한다. 제안하는 모델은 Random Waypoint에 기반 하는 모델로써 정찰되지 않은 구역의 선택 확률을 높여 균형적 탐색을 유도한다. 시뮬레이션을 이용하여 제안하는 모델이 기존의 Random Waypoint 에 비해 80% 정찰비율 시간 향상 면에서 우수함을 보인다.

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Analyses of Characteristics and Causes of Landslides due to Locally Concentrated Heavy Rainfall in Inje Area (국지성 집중호우로 인한 인제군 산사태 발생 특성 및 원인 분석)

  • Lee, Dong-Won;Byun, In-Ho;Yoo, Nam-Jae
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09b
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    • pp.161-170
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    • 2010
  • This paper is results of analyzing causes of damage and rainfall characteristics to investigate characteristics of landslide occurrence and its causes at Inje area in Gangwondo around July in 2006 through collection of related data, literature review and field reconnaissance. From results of analyzing the geometrical characteristics of landslide slope, the slope width of showing the most probable frequency were in the range of 10~50m and the most frequent slope angle was in the range of $30{\sim}40^{\circ}$. The most probable elevation of slope was 200~300m. For the slope direction of landslides, the most frequent directions were NW and SE.

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Design of the Locomotive Mechanism by Analysis on Behavior of Pill Bugs for a Small Robot (공벌레의 보행패턴 분석을 통한 소형로봇의 주행 메커니즘 설계)

  • Park, Jong-Won;Kim, Hong-Jin;Kim, Young-Kook;Kim, Soo-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.2
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    • pp.81-86
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    • 2012
  • Reconnaissance robots can reduce the danger of hazardous places by providing information before human personnel take action. For the usage, robot platform should be small and light. However, this fact leads to a scaling issue with terrain that landscape poses a huge obstacle for the vehicle. The problem can be solved by the inspiration of nature. This paper presents design of the locomotive mechanism inspired by Pill bugs. The mechanism was designed by the principles of a pill bug's locomotion and experiments were conducted to validate the mechanism.

Design Strategy of Low-Power Node by Analyzing the Hardware Modules in Surveillance and Reconnaissance Sensor Networks (감시정찰 센서네트워크에서 하드웨어 모듈의 소모전력 분석을 통한 저전력 노드 설계 전략)

  • Kim, Yong-Hyun;Yeo, Myung-Ho;Chung, Kwangsue
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.6
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    • pp.761-769
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    • 2012
  • In this paper, we propose a low-power design strategy to minimize energy-consumption for surveillance and reconnaissance sensor networks. The sensor network consists of many different nodes with various operations such as target detection, packet relay, video monitoring, changing protocols, and etc. Each sensor node consists of sensing, computing, communication, and power components. These components are integrated on a single or multiple boards. Therefore, the power consumption of each component can be different on various operation types. First, we identified the list of components and measured power consumption for them from the first prototype nodes. Next, we focus on which components are the main sources of energy consumption. We propose many energy-efficient approaches to reduce energy consumption for each operation type.

Location-Routing Problem for Reconnaissance Surveillance Missions of the Maritime Manned-Unmanned Surface Vehicles (해양 유·무인 수상함정의 감시정찰 임무를 위한 위치-경로 문제)

  • Jinho Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.238-245
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    • 2023
  • As technologies have been more quickly developed in this 4th Industry Revolution era, their application to defense industry has been also growing. With these much advanced technologies, we attempt to use Manned-Unmanned Teaming systems in various military operations. In this study, we consider the Location-Routing Problem for reconnaissance surveillance missions of the maritime manned-unmanned surface vehicles. As a solution technique, the two-phase method is presented. In the first location phase, the p-median problem is solved to determine which nodes are used as the seeds for the manned vehicles using Lagrangian relaxation with the subgradient method. In the second routing phase, using the results obtained from the location phase, the Vehicle Routing Problems are solved to determine the search routes of the unmanned vehicles by applying the Location Based Heuristic. For three network data sets, computational experiments are conducted to show the performance of the proposed two-phase method.

Seismic damage vulnerability of empirical composite material structure of adobe and timber

  • Si-Qi Li
    • Earthquakes and Structures
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    • v.25 no.6
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    • pp.429-442
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    • 2023
  • To study the seismic vulnerability of the composite material structure of adobe and timber, we collected and statistically analysed empirical observation samples of 542,214,937 m2 and 467,177 buildings that were significantly impacted during the 179 earthquakes that occurred in mainland China from 1976 to 2010. In multi-intensity regions, combined with numerical analysis and a probability model, a non-linear continuous regression model of the vulnerability, considering the empirical seismic damage area (number of buildings) and the ratio of seismic damage, was established. Moreover, a probability matrix model of the empirical seismic damage mean value was provided. Considering the coupling effect of the annual and seismic fortification factors, an empirical seismic vulnerability curve model was constructed in the multiple-intensity regions. A probability matrix model of the mean vulnerability index (MVI) was proposed, and was validated through the above-mentioned reconnaissance sample data. A matrix model of the MVI of the regions (19 provinces in mainland China) based on the parameter (MVI) was established.