• Title/Summary/Keyword: Hybrid target

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Construction of a Knowledge Based Hybrid Simulation Environment

  • Kim, Myoung-Hee
    • Journal of the Korea Society for Simulation
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    • v.1 no.1
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    • pp.25-30
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    • 1992
  • A knowledge based hybrid simulation environment has been established which supports the simulation procedure from the modeling step to the experimentation step by providing various tools, query, and advisory. The knowledge base in the established environment uses the If-Then Rule to transfer the fact input from the user to the act for the execution of the simulation process. Simulation non-experts are the user target and non-specific area is the application target.

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Hybrid Filter Design for a Nonlinear System with Glint Noise (글린트잡음을 갖는 비선형 시스템에 대한 하이브리드 필터 설계)

  • Kwak, Ki-Seok;Yoon, Tae-Sung;Park, Ji-Bae;Shin, Jong-Gun
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.26-29
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    • 2001
  • In a target tracking problem the radar glint noise has non-Gaussian heavy-tailed distribution and will seriously affect the target tracking performance. In most nonlinear situations an Extended Robust Kalman Filter(ERKF) can yield acceptable performance as long as the noises are white Gaussian. However, an Extended Robust $H_{\infty}$ Filter (ERHF) can yield acceptable performance when the noises are Laplacian. In this paper, we use the Interacting Multiple Model(IMM) estimator for the problem of target tracking with glint noise. In the IMM method, two filters(ERKF and ERHF) are used in parallel to estimate the state. Computer simulations of a real target tracking shows that hybrid filter used the IMM algorithm has superior performance than a single type filter.

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Verification of Real-time Hybrid Test System using RC Pier Model (RC교각을 이용한 실시간 하이브리드 실험 시스템의 적용성 연구)

  • Lee, Jinhaeng;Park, Minseok;Chae, Yunbyeong;Kim, Chul-Young
    • Journal of the Earthquake Engineering Society of Korea
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    • v.22 no.4
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    • pp.253-259
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    • 2018
  • Structure behaviors resulting from an earthquake are experimentally simulated mainly through a shaking table test. As for large-scale structures, however, size effects over a miniature may make it difficult to assess actual behaviors properly. To address this problem, research on the hybrid simulation is being conducted actively. This method is to implement numerical analysis on framework members that affect the general behavior of the structure dominantly through an actual scale experiment and on the rest parts by applying the substructuring technique. However, existing studies on hybrid simulation focus mainly on Slow experimental methods, which are disadvantageous in that it is unable to assess behaviors close to the actual level if material properties change depending on the speed or the influence of inertial force is significant. The present study aims to establish a Real-time hybrid simulation system capable of excitation based on the actual time history and to verify its performance and applicability. The hybrid simulation system built up in this study utilizes the ATS Compensator system, CR integrator, etc. in order to make the target displacement the same with the measured displacement on the basis of MATLAB/Simulink. The target structure was a 2-span bridge and an RC pier to support it was produced as an experimental model in order for the shaking table test and Slow and Real-time hybrid simulations. Behaviors that result from the earthquake of El Centro were examined, and the results were analyzed comparatively. In comparison with the results of the shaking table test, the Real-time hybrid simulation produced more similar maximum displacement and vibration behaviors than the Slow hybrid simulation. Hence, it is thought that the Real-time hybrid simulation proposed in this study can be utilized usefully in seismic capacity assessment of structural systems such as RC pier that are highly non-linear and time-dependent.

Scattering Model for Hard Target Embedded inside Forest Using Physics-based Channel Model Based on Fractal Trees (프랙탈 나무 모델을 이용한 숲 속에 숨어 있는 타겟의 산란모델)

  • Koh Il-Suek
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.16 no.2 s.93
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    • pp.174-181
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    • 2005
  • In this paper, a hybrid model is developed, which can estimate scattering properties of a target embedded inside a forest. The model uses a physic-based channel model for a forest to accurately calculate the penetrated field through a forest canopy. The channel model is based on a fractal tree geometry and single scattering theory. To calculate scattering from the target physical optics(PO) is used to compute an induced current on the target surface since the dimension of the target is generally very large and the shape is very complicated. Then using reciprocity theorem, scattering generated by the PO current is calculated without an extra computational complexity.

Practical Method to Extract Azimuth Angle of Target for Air-Borne Antenna Hybrid Mono-Pulse Radar System (항공용 안테나 하이브리드 모노펄스 레이다 시스템의 실용적 표적 방위각 추정 방법)

  • Kim, Jin-Woo;Youn, Jae-Hyuk;Rho, Soo-Hyun;Lee, Jong-Eun;Jeon, Yeong-Beom;Ok, Jae-Woo;You, Eung-Noh;Yoon, Sang-Ho;Shin, Hyun-Ik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.9
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    • pp.735-738
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    • 2018
  • The accuracy of extracting the azimuth angle of a target is significantly affected by the error in the mono-pulse ratio of the air-borne antenna hybrid mono-pulse Radar system. This error is strongly induced by the phase imbalance between the channels of the system. In this paper, a method is proposed for effectively calibrating the phase imbalance caused by physical differences between the RF channels from the antenna to the $180^{\circ}$ hybrid. Through a flight test, it was confirmed that the accuracy of the azimuth angle of the target is improved by using the proposed method.

Speech Recognition in the Noisy Environments using Hybrid Method of Spectral Subtraction and Noise Masking (스펙트럼 차감법과 잡음 마스킹의 hybrid 방식을 이용한 잡음환경에서의 음성인식)

  • 권영욱
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.06e
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    • pp.343-346
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    • 1998
  • 잡음환경에서의 음성인식 성능향상을 위하여 본 논문에서는 스펙트럼 차감법 이후에 남아 있는 잔여 잡음으로 인한 mismatch를 극복하는 수단으로 기존의 스펙트럼 차감법에서의 flooring factor를 사용하는 대신에 target 잡음레벨을 이용하여 잡음 마스킹을 적용하는 스펙트럼 차감법과 잡음 마스킹의 hybrid 방식을 사용한다. 이 방법은 낮은 SNR에서 개선되지 않는 기존의 잡음 마스킹이 가지는 약점을 극복하고 동시에 스펙트럼 차감버에서의 잔여 잡음 문제를 완화시킬 수 있었다. 특히 시간/주파수 영역 smoothing을 적용함으로써 스펙트럼 차감법과 잡음 마스킹의 hybrid 방식의 적용 이후에도 여전히 남아 있는 일부 잡음을 추가적으로 감소시켰으며, 더욱 향상된 인식성능을 얻을 수 있었다.

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Development of Lossless Hybrid-type Magnetic Levitation System (무손실 하이브리드 자기부상 시스템 개발)

  • Kim, Jong-Moon;Kang, Do-Hyun
    • Proceedings of the KIEE Conference
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    • 2005.04a
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    • pp.31-33
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    • 2005
  • In this paper, a design of lossless hybrid-type magnetic levitation system is presented. The lossless hybrid-type system is implemented by a permanent-magnet and electro-magnetic system. The target plant consists of eight hybrid-type magnets and at steady-state, no current is needed to support the load. The design procedure is described and the results of this work are shown.

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Design of Lossless Hybrid type Magnetically-Levitated Vehicle (손실 없는 하이브리드 자기부상열차 설계)

  • Kim, Jong-Moon;Kang, Do-Hyun
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1553-1555
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    • 2005
  • This paper presents a design of lossless hybrid-type magnetically-levitated vehicle. The lossless hybrid-type system is implemented by a permanent magnet and electromagnet. The target plant consists of eight hybrid-type magnets and in the steady-state, no current is needed to support the load. The design procedure is described and the results of this work are shown.

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Target Tracking using Interacting Multilple Model Algorithm (상호작용 다중 모델 알고리듬을 이용한 표적 추적)

  • Ku, Hyun-Cherl;Seo, Jin-Heon
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.943-945
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    • 1996
  • In this paper, we present an algorithm that allows tracking of a target using measurements obtained from a sensor with limited resolution. The Interacting Multiple Model (IMM) algorithm has been shown to be one of the most cost-effective estimation schemes for hybrid systems. The approach consists of IMM algorithm combined with a coupled version of the Joint Probabilistic Data Association Filter for the target that splits into two targets.

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(Theoretical Analysis and Performance Prediction for PSN Filter Tracking) (PSN 픽터의 해석 및 추적성능 예측)

  • Jeong, Yeong-Heon;Kim, Dong-Hyeon;Hong, Sun-Mok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.2
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    • pp.166-175
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    • 2002
  • In this paper. we predict tracking performance of the probabilistic strongest neighbor filter (PSNF). The PSNF is known to be consistent and superior to the probabilistic data association filter (PDAF) in both performance and computation. The PSNF takes into account the probability that the measurement with the strongest intensity in the neighborhood of the predicted target measurement location is not target-originated. The tracking performance of the PSNF is quantified in terms of its estimation error covariance matrix. The estimation error covariance matrix is approximately evaluated by using the hybrid conditional average approach (HYCA). We performed numerical experiments to show the validity of our performance prediction.