• 제목/요약/키워드: Position Prediction

검색결과 530건 처리시간 0.027초

전장분석을 위한 이동 객체의 위치 예측 시스템 (A Location Prediction System for Moving Objects in Battlefield Analysis)

  • 안윤애;류근호;조동래
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제8권6호
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    • pp.765-777
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    • 2002
  • 전장분석을 위해서는 대상이 되는 적 부대에 대한 식별 및 이동 상황에 관한 정확한 정보가 요구된다. 그러나 통신 기술, 전파 방해, 전술 등의 이유로 모든 정보를 완벽하게 수집하는 것은 어렵다. 따라서 이미 수집된 이동 정보 및 도메인 지식을 이용한 미래 이동 상황의 예측 및 분석이 필요하다. 특히, 이동하는 부대들은 시간에 따라 위치 및 모양이 변하는 이동 객체의 특성을 가지므로, 전장분석을 위해서는 이동 객체를 관리하고 위치를 예측하는 기능이 필수적이다. 따라서 이 논문에서는 전장분석을 위한 이동 부대들의 위치를 예측하는 시스템을 제안한다. 이 시스템은 전장분석 응용 도메인에 적합한 미상의 부대 추론, 미확인 부대 추론, 주타격 방향을 예측하며, 데이타베이스에 저장되지 않은 이동 객체의 과거 및 미래의 위치를 추정한다.

큐잉 데이터 기반 하층방어 요격체계의 초고속 표적 탐지 방향 지정을 위한 정밀 궤적예측 기법 (A Precise Trajectory Prediction Method for Target Designation Based on Cueing Data in Lower Tier Missile Defense Systems)

  • 이동관;조길석;신진화;김지은;권재우
    • 한국군사과학기술학회지
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    • 제16권4호
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    • pp.523-536
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    • 2013
  • A recent air defense missile system is required to have a capability to intercept short-range super-high speed targets such as tactical ballistic missile(TBMs) by performing engagement control efficiently. Since flight time and distance of TBM are very short, the missile defense system should be ready to engage a TBM as soon as it takes an indication of the TBM launch. As a result, it has to predict TBM trajectory accurately with cueing information received from an early warning system, and designate search direction and volume for own radar to detect/track TBM as fast as it can, and also generate necessary engagement information. In addition, it is needed to engage TBM accurately via transmitting tracked TBM position and velocity data to the corresponding intercept missiles. In this paper, we proposed a method to estimate TBM trajectory based on the Kepler's law for the missile system to detect and track TBM using the cueing information received before the TBM arrives the apogee of the ballistic trajectory, and analyzed the bias of prediction error in terms of the transmission period of cueing data between the missile system and the early warning system.

MR Tanker 실선 및 모형선 프로펠러 캐비테이션 및 변동압력 수치해석 연구 (Numerical Study on Propeller Cavitation and Pressure Fluctuation of Model and Full Scale ship for a MR Tanker)

  • 박일룡;김기섭;김제인;설한신;박영하;안종우
    • 대한조선학회논문집
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    • 제57권1호
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    • pp.35-44
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    • 2020
  • Propeller cavitation extent, pressure fluctuation induced by cavitation, pressure distribution on propeller blade, total velocity distribution and nominal wake distribution for a MR Taker were computed in both conditions of model test and sea trial using a code STAR-CCM+. Then some of the results were compared with model test data at LCT and full-scale measurement (Ahn et al (2014); Kim et al (2014)] in order to confirm the availability of a numerical prediction method and to get the physical insight of local flow around a ship and propeller. The nominal wake distributions computed and measured by LDV velocimeter on the variation of on-coming velocity show the wake contraction characteristics proposed by Hoekstra (1974). The numerical prediction of propeller cavitation extent on a blade angular position and pressure fluctuation level on each location of pressure sensors are very similar with the experimental results.

압저항 방식의 μN급 MEMS 추력 측정 시스템 설계 및 성능 예측 (Design and Performance Prediction of μN Level MEMS Thrust Measurement System of Piezoresistance Method)

  • 류영석;이종광
    • 한국추진공학회지
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    • 제22권6호
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    • pp.111-117
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    • 2018
  • 마이크로 추력기의 성능평가를 위해 MEMS 추력 측정 시스템을 설계하였으며, 시스템의 성능 예측에 관한 연구를 수행하였다. 추력 측정 시스템은 빔, 박막, 압저항 센서로 구성된다. 시스템의 안정성 검증과 빔의 응력 변화를 확인하고 압저항 센서의 크기 및 위치 선정을 위해 FEM 해석을 수행하였다. 재료의 허용응력과 최대응력을 비교하여 설계한 시스템들의 안정성을 검증할 수 있었다. 압저항 센서는 높은 게이지 계수를 확보하기 위해 빔의 길이의 20%로 설계 하였으며, 기준형상의 박막과 빔의 크기는 각각 $15mm{\times}15mm$, $500{\mu}m{\times}500{\mu}m$로 설계하였다.

Application of Statistical and Machine Learning Techniques for Habitat Potential Mapping of Siberian Roe Deer in South Korea

  • Lee, Saro;Rezaie, Fatemeh
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제2권1호
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    • pp.1-14
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    • 2021
  • The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

Accuracy Assessment of Precipitation Products from GPM IMERG and CAPPI Ground Radar over South Korea

  • Imgook Jung;Sungwon Choi;Daeseong Jung;Jongho Woo;Suyoung Sim;Kyung-Soo Han
    • 대한원격탐사학회지
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    • 제40권3호
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    • pp.269-274
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    • 2024
  • High-quality precipitation data are crucial for various industries, including disaster prevention. In South Korea, long-term high-quality data are collected through numerous ground observation stations. However, data between these stations are reprocessed into a grid format using interpolation methods, which may not perfectly match actual precipitation. A prime example of real-time observational grid data globally is the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (GPM IMERG) from National Aeronautics and Space Administration (NASA), while in South Korea, ground radar data are more commonly used. GPM and ground radar data exhibit distinct differences due to their respective processing methods. This study aims to analyze the characteristics of GPM and Constant Altitude Plan Position Indicator(CAPPI),representative real-time grid data, by comparing them with ground-observed precipitation data. The study period spans from 2021 to 2022, focusing on hourly data from Automated Synoptic Observing System (ASOS) sites in South Korea. The GPM data tend to underestimate precipitation compared to ASOS data, while CAPPI shows errors in estimating low precipitation amounts. Through this comparative analysis, the study anticipates identifying key considerations for utilizing these data in various applied fields, such as recalculating design rainfall, thereby aiding researchers in improving prediction accuracy by using appropriate data.

반도체 센서의 확장칼만필터를 이용한 자세추정 (Extended Kalman Filtering for I.M.U. using MEMs Sensors)

  • 전용호
    • 한국전자통신학회논문지
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    • 제10권4호
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    • pp.469-475
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    • 2015
  • 본 논문은 반도체 센서를 이용하여 공간상 시스템의 자세를 정확히 측정할 수 있도록 확장 칼만 필터를 설계하는 방법에 관한 연구이다. 공간상 자세는 관성좌표계(고정 좌표계)로부터 몸체에 부착된 회전좌표계의 상호 관계로 표현한다. 자세를 표현하는데 있어서 간결한 방법인 쿼터니언을 상태변수로 이용하며, 속도 센서로부터 계측된 값을 입력으로 가정하고, 상태 변화를 추정하였다. 그리고 가속도 센서로부터 획득된 값을 관측 데이터로 하여 추정한 값과의 정합과정을 통해 최적의 추정치를 얻어낸다. 이때 추정의 정밀도를 높이기 위해 추정 주기를 센서특성에 맞춰 조절하도록 확장 칼만 필터를 설계하였다. 그 결과, 3축 속도 센서와 3축 가속도 센서를 이용하여 설계된 추정기의 RMS(: Root Mean Square) 추정오차가 시뮬레이션에서 약 1.7 [$^{\circ}$] 이하로 유지되었고, 실험에서 100 [ms] 의 주기로 상태추정을 함으로 추정기가 유용함을 입증하였다.

Segmental Analysis Trial of Volumetric Modulated Arc Therapy for Quality Assurance of Linear Accelerator

  • Rahman, Mohammad Mahfujur;Kim, Chan Hyeong;Huh, Hyun Do;Kim, Seonghoon
    • 한국의학물리학회지:의학물리
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    • 제30권4호
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    • pp.128-138
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    • 2019
  • Purpose: Segmental analysis of volumetric modulated arc therapy (VMAT) is not clinically used for compositional error source evaluation. Instead, dose verification is routinely used for plan-specific quality assurance (QA). While this approach identifies the resultant error, it does not specify which machine parameter was responsible for the error. In this research study, we adopted an approach for the segmental analysis of VMAT as a part of machine QA of linear accelerator (LINAC). Methods: Two portal dose QA plans were generated for VMAT QA: a) for full arc and b) for the arc, which was segmented in 12 subsegments. We investigated the multileaf collimator (MLC) position and dosimetric accuracy in the full and segmented arc delivery schemes. A MATLAB program was used to calculate the MLC position error from the data in the dynalog file. The Gamma passing rate (GPR) and the measured to planned dose difference (DD) in each pixel of the electronic portal imaging device was the measurement for dosimetric accuracy. The eclipse treatment planning system and a MATLAB program were used to calculate the dosimetric accuracy. Results: The maximum root-mean-square error of the MLC positions were <1 mm. The GPR was within the range of 98%-99.7% and was similar in both types of VMAT delivery. In general, the DD was <5 calibration units in both full arcs. A similar DD distribution was found for continuous arc and segmented arcs sums. Exceedingly high DD were not observed in any of the arc segment delivery schemes. The LINAC performance was acceptable regarding the execution of the VMAT QA plan. Conclusions: The segmental analysis proposed in this study is expected to be useful for the prediction of the delivery of the VMAT in relation to the gantry angle. We thus recommend the use of segmental analysis of VMAT as part of the regular QA.

상대항법 성능 분석 플랫폼 개발 및 이를 이용한 성능 개선 (Implementation of a Performance Evaluation Platform for Relative Navigation and Its Application to Performance Improvements)

  • 최헌호;심우성;조성룡;한영훈;박찬식;이상정
    • 제어로봇시스템학회논문지
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    • 제18권5호
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    • pp.426-432
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    • 2012
  • The positions of vessels in JTIDS where each vessel broadcasts its position, can be found using the relative navigation method. Besides positioning, the relative navigation could be adopted for identification friend or foe, tracking targets, monitoring battle field and etc. In this paper, we have explained the fundamental operation and technical structure for the relative navigation and implemented the simulation platform to evaluate the basic function and performance of the system in arbitrary environment. Using platform, the availability of relative navigation within the group network and the characteristic of the algorithm for position prediction was verified. Based on the simulation result, it was verified that EKF based navigation algorithm could produce great initial error and need quite convergence time. To improve the performance, we proposed a new navigation algorithm which uses the minimum norm estimation algorithm until the EKF converges. The simulation results reveal the relative navigation can be effectively used in the formation flight and collision avoidance system.

RFID 센서를 이용한 실내 기호공간에서의 위치추적 (Location Tracking in Indoor Symbolic Space with RFID Sensors)

  • 강혜영;황정래;이기준
    • Spatial Information Research
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    • 제19권3호
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    • pp.53-62
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    • 2011
  • 최근 실내 공간 내에서의 위치 정보를 이용한 공간정보 서비스가 실외공간에서 제공되는 서 비스만큼 공간정보시스템의 중요한 응용분야로 자리 잡고 있다. 실외 공간과 달리, 실내 공간의 위치 정보는 좌표기반이 아닌, 방 번호와 같은 기호를 기반으로 표현된다. 따라서 실내공간에서 이동객체의 위치를 추적하기 위해서는 이동객체의 현재 위치를 이용하여 좌표정보를 예측하는 것이 아니라, 기호적 추론이 필요하다. 이에 본 논문에서는 RFID센서를 이용하여 이동객체의 위치를 항상 명시적으로 결정할 수 있는 추적가능 실내 기호공간을 위한 프레임웍을 제안한다. 우선, 실내기호공간과 실내기호공간에서의 위치추적에 대한 개념을 소개하고, 추적 가능한 실내 기호공간을 위한 접근성 그래프를 정의한다. 둘째로, RFID 리더기의 배치방법, 추적 가능한 실내기호공간을 위한 접근성 그래프 생성방법과 이를 이용한 위치 추적방법을 제시한다. 마지막으로, 제시한 방법의 유효성을 보이기 위하여 실험결과를 보인다.