• Title/Summary/Keyword: 표적 지정

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Random Forest Method and Simulation-based Effect Analysis for Real-time Target Re-designation in Missile Flight (유도탄의 실시간 표적 재지정을 위한 랜덤 포레스트 기법과 시뮬레이션 기반 효과 분석)

  • Lee, Han-Kang;Jang, Jae-Yeon;Ahn, Jae-Min;Kim, Chang-Ouk
    • Journal of the Korea Society for Simulation
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    • v.27 no.2
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    • pp.35-48
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    • 2018
  • The study of air defense against North Korean tactical ballistic missiles (TBM) should consider the rapidly changing battlefield environment. The study for target re-designation for intercept missiles enables effective operation of friendly defensive assets as well as responses to dynamic battlefield. The researches that have been conducted so far do not represent real-time dynamic battlefield situation because the hit probability for the TBM, which plays an important role in the decision making process, is fixed. Therefore, this study proposes a target re-designation algorithm that makes decision based on hit probability which considers real-time field environment. The proposed method contains a trajectory prediction model that predicts the expected trajectory of the TBM from the current position and velocity information by using random forest and moving window. The predicted hit probability can be calculated through the trajectory prediction model and the simulator of the intercept missile, and the calculated hit probability becomes the decision criterion of the target re-designation algorithm for the missile. In the experiment, the validity of the methodology used in the TBM trajectory prediction model was verified and the superiority of using the hit probability through the proposed model in the target re-designation decision making process was validated.

Smart Target Detection System Using Artificial Intelligence (인공지능을 이용한 스마트 표적탐지 시스템)

  • Lee, Sung-nam
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.538-540
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    • 2021
  • In this paper, we proposed a smart target detection system that detects and recognizes a designated target to provide relative motion information when performing a target detection mission of a drone. The proposed system focused on developing an algorithm that can secure adequate accuracy (i.e. mAP, IoU) and high real-time at the same time. The proposed system showed an accuracy of close to 1.0 after 100k learning of the Google Inception V2 deep learning model, and the inference speed was about 60-80[Hz] when using a high-performance laptop based on the real-time performance Nvidia GTX 2070 Max-Q. The proposed smart target detection system will be operated like a drone and will be helpful in successfully performing surveillance and reconnaissance missions by automatically recognizing the target using computer image processing and following the target.

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Verification of Airborne Radar's Search Pattern Stabilization Capability Using SIL Environment (시스템 통합 시험 환경을 이용한 항공기 탑재 레이다의 탐색 패턴 안정화 기능 검증)

  • Ji-Eun Roh;Yong-Kil Kwak;Jin-Ju Won;Won-Jin Lee
    • Journal of Advanced Navigation Technology
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    • v.28 no.2
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    • pp.178-184
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    • 2024
  • The radar installed on an aircraft has various operating modes depending on tactical purposes, allowing for the configuration of search areas according to each mode's operational objectives. active electronically scanned array (AESA) radar emits search beams sequentially according to a predefined search beam grid within the designated search area specified by the pilot to detect targets within it. It is crucial that the radar can stably search the area designated by the pilot for target detection, even as the aircraft's attitude changes. This paper focuses on stabilizing the search pattern in the air-to-air operational mode of aircraft-mounted radar to ensure stable target detection during roll and pitch maneuvers of the aircraft. The paper demonstrates its performance by simulating aircraft maneuvers and targets in a system integration laboratory (SIL) test environment.

Maximum Launch Range and F-pole Evaluation For Semi-Active Radar Missile (반능동 레이더 미사일에 대한 최대 사거리 및 F-pole 평가)

  • Kwon, Ky-Beom
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.4
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    • pp.92-98
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    • 2002
  • In this study, maximum launch range and F-pole are evaluated and analyzed for the semi-active radar missile concerning various launch condition, performance limitation and target maneuvers. Furthermore, general evasion maneuvers are considered when shooter approaches to target with head-on conditions. A point-mass target, shooter and missile model is used including aircraft and missile dynamics. More realistic missile motion simulation is conducted using aerodynamic performance data, geometry, performance limitation, radar seeker performance and so on. Maximum launch range, which is the distance for intercept satisfying target and missile motion and performance, is evaluated using root finding method. F-pole, which is the distance between target and shooter when intercept is completed, is evaluated assuming that shooter maneuvers through pursuit guidance to target.

Resolving Occlusion Technique of Virtual Target on Real Image using DEM (DEM을 이용한 실영상기반 가상표적의 폐색처리기법)

  • Cha, Jeong-Hee;Jang, Hyo-Jong;Kim, Gye-Young
    • The KIPS Transactions:PartB
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    • v.13B no.7 s.110
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    • pp.663-670
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    • 2006
  • For virtual target to be displaying on real image realistically, it is essential to determine the location of the virtual object together with producing the occlusions area after registering two world. In this paper, we propose the new method to solve occlusions which happens during virtual target moves according to the simulated route on real image. For this purpose, we first construct three dimensional virtual world by DEM of experimental area and register CCD camera image on it by visual clues. Next, we also propose a method to solve the occlusion using snake and picking algorithm which can extract the three dimensional information of the position happening occlusion in the image and can use it when target moves that area. In the experiment, we proved the effectiveness of the proposed method in the environment which a partial occlusions happens.

A Study on Performance Improvement for Acquiring Time of Ship Target through Defining and Analysing the Main Affecting Factors of Tracking Radar (추적레이더의 주요영향인자 정의 및 분석을 통한 대함표적획득시간 성능향상에 관한 연구)

  • Kim, Seung-Woo;Cho, Heung-Gi
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.3
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    • pp.22-28
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    • 2007
  • The STIR(Signal Tracking & Illumination Radar) in KDX(Korean Destroyer Experimental) combat system acquires target from designating 3-D target information of surveillance radar (MW-08), and The performance of radar is decided by target acquisition time and accuracy of tracking loop because the STIR tracks automatically in accordance with tracking algorithm. In the view of ship, elements related with target acquisition time of the STIR can be various. In this paper the target acquisition time of the STIR is reduced by identifying the elements and suggesting the performance improvement method. The way of performance improvement is suggested through analysing main affecting factors. First, tracking algorism is required for analysis. Second, fitness of parameters that control elements related with acquisition distance is analyzed. And the third, accuracy of ship based sensors is analyzed. In conclusion, acquisition time against ship target can be advanced to 3 seconds from 10 seconds.

Performance Improvement of Maneuvering Target Tracking with Radar Measurement Noise Estimation (레이더 측정 잡음 추정을 통한 기동 표적 추적 성능 향상)

  • Jeon, Dae-Keun;Eun, Yeon-Ju;Ko, Hyun;Yeom, Chan-Hong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.1
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    • pp.25-32
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    • 2011
  • Measurement noise variance of the radar is one of the main inputs of a state estimator of surveillance data processing system for air traffic control and has influences on the accuracy performance of maneuvering target tracking. A method is presented of estimating measurement noise variances every frame of target tracking using likelihood functions of multiple IMM filter. The results by running of Monte Carlo simulation show that variances are estimated within 5% of errors compared with true values and the tracking accuracy performance is improved.

The Influence of Stimulus Contrast and Color on Target Detection under Multiple Rapid Serial Visual Presentation (다중신속순차제시아래 자극의 명암대비 및 색상이 표적 탐지에 미치는 영향)

  • Park, Jong-Min;Kim, Giyeon;Hyun, Joo-Seok
    • Science of Emotion and Sensibility
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    • v.20 no.2
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    • pp.137-148
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    • 2017
  • The present study examined the effect of stimulus contrast and color on detection of a target embedded in streams of letters. In Experiment 1, each trial displayed four rapid serial visual presentation (RSVP) streams of letters (i.e., multi-RSVP), and each stream occupied one of four different locations. Each frame in the RSVP stream had four white distractors at the locations except one frame where a dim grey target was displayed at a location with three white distractors at the remaining locations. In the low-visibility target condition, the target's grey color was slightly darker than the background grey whereas much dimmer in the high-visibility condition. Participants were asked to report presence of a predesignated target as quickly and accurately as possible upon its detection in each trial, and their target detection turned out more accurate and quicker in the high-visibility than the low-visibility condition. In Experiment 2, the same RSVP displays and task as Experiment were used, but the grey target letters in the high-visibility condition were replaced with those of distinct chromatic colors. Participants detected target presence more accurately in the high-visibility condition, but the reaction time did not differ between the visibility conditions. The results indicate that higher stimulus contrast as well as distinct color can improve perception of a target stimulus displayed among visually-demanding background, but also suggest that stimulus contrast may play a more substantial role for such perceptual improvement.

Proteomics의 최근 연구 기술동향

  • Yang, Hye-Jeong;Gwon, Dae-Yeong
    • Bulletin of Food Technology
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    • v.18 no.1
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    • pp.3-15
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    • 2005
  • 최근 들어 게놈기능연구는 주요국가의 새로운 국가적 연구표적으로 지정되면서 유전자기반 생물산업의 핵심으로 부각되고 있다. 이러한 발전은인간(2001년 2월 인간 게놈의 초안 발표)을 비롯한 생물체의 게놈구조가 규명되어 이 유전자구조정보를 web상에서 쉽게 알아낼 수 있는데서 비롯된다. 포스트게놈시대의 게놈기능연구를 총괄적으로 '기능유전체학 (Functional Genomics)'이라고하며 여기에는 핵산(DNA나 RNA)을 표적으로 게놈기능을 연구하는 genomics(유전체학, RNA발현을 대상으로 하는 transcriptomics(전사체학) 포함), 총체적인 단백체를 대상으로 유전자기능을 연구하는 proteomics(단백질체학) 및 대사물질을 대상으로 하는 metabolomics(대사체학), 이들 분야를 공통적으로 지원하는 bioinformatics(생물정보학)로 구분된다. 본 고에서는 프로테오믹스 분야를 중심으로 소개하고자 한다.

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155밀리 항력감소 이중목적 고폭탄 개발 의의 및 성과

  • Jo, Dong-Seong
    • Defense and Technology
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    • no.6 s.268
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    • pp.60-65
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    • 2001
  • 21세기 첨단과학기술의 발전과 불특정 위협 그리고 세계적 무기체계 발전추세를 감안한 화포의 사거리 증가는 한계에 도달하고 화력운용개념 또한 정밀타격을 요구하고 있는 상황하에서, K9 신형 155밀리 자주포를 통하여 종심지역의 적 전차 및 인원표적을 공격하는 능력을 갖추며, 지능형 탄약을 개발할 수 있는 기반을 조성하고, 국내 독자적인 장거리 탄약개발기술을 확보했다는 측면에서 개발의의 및 성과가 매우 크다 하겠다. 따라서 한국의 지정학적인 전략적 요충지로서 항상 주변 강대국 위협에 대비하는 전투력을 구비하도록 방위산업체 주도의 무기개발이 일반화되어야 할 것이다.

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