• Title/Summary/Keyword: 최적 필터

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Reduction of Electron Contamination Using a Filter for 6MV Photon Beam (6MV 광자선에서 전자오염 감소에 관한 연구)

  • Lee, Choul-Soo;Yoo, Myung-Jin;Yum, Ha-Yong
    • Radiation Oncology Journal
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    • v.15 no.2
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    • pp.159-165
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    • 1997
  • Purpose : Secondary electrons generated by interaction between Primary X-rar beam and block tray in megavoltage irradiation, result in excess soft radiation dose to the surface layer To reduce the surface dose from the electron contamination, electron filters were attached under the tray when a customized block was used. Materials and Methods : Cu, Al or Cu/Al combined Plate with different thickness was used as a filter and the surface dose reduction was measured for each case. The measurement to find optimal filter was performed with $10m\times10cm$ field size and 78.5cm source to surface distance. The measurement points are positioned with 2mm intervals from surface to maximum build-up point. To acquire the effect of field size dependence on optimal electron filter, the measurement was performed from $4cm\times4cm\;to\;25cm\times25cm$ field sizes. Results : The surface dose was slowly increased by increasing irradiation field but rapidly increased beyond $15cm\times15cm$ field size. Al plate was found to be inadequate filter because of the failure to have surface dose kept lowering than the dose of deep area. Cu 0.5mm plate and Cu/Al=0.28mm/1.5mm combined plate were found to be optimal filters. By using these 2 filters, the absorbed dose to the surface layer was effectively reduced by $5.5\%,\;11.3\%,\;and\;22.3\%$ for the field size $4cm\times4cm,\;10m\times10cm,\;and\;25cm\times25cm$, respectively. Conclusion : The surface dose attributable to electron contamination had a dependence on field size. The electron contamination was increased when tray was used. Specially the electron contamination in the surface layer was greater when the larger field was used. 0.5mm Cu Plate and Cu/Al=0.28mm/15mm combined plates were selected as optimal electron filters. When the optimal electron filter was attached under the tray, excessive surface dose was decreased effectively The effect of these electron filters was better when a larger field was used.

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KSLV-I FTS 수신기용 Tone Filter 설계

  • Hwang, Soo-Seul;Lim, You-Chol;Lee, Jae-Deuk
    • Aerospace Engineering and Technology
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    • v.3 no.2
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    • pp.104-115
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    • 2004
  • In this study, contains Design and Simulation data for Tone filter applied to the KSLV-1 FTS Receiver. Received Signal contains unwanted Noise and Jitter which should be eliminated by any kind of filters. In the design of KSLV-1 FTS Receiver, two different type of filters are used. One is Low-Pass Filter for rejecting high order harmonics and another is Tone Filter for sorting pure original signal in the mixed demodulate Signals. For the purpose of this development, various kinds of filter are studied and simulated for finding adequate type of filter.

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Development of data assimilation technique using a surrogate model (대체모형을 이용한 자료동화기법 개발)

  • Kim, Jongho;Tran, Vinh Ngoc
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.381-381
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    • 2020
  • 자료동화(Data Assimilation) 기법은 실시간 수문학적 예측에 있어 정확도 향상을 위해 필수적인 과정이다. 가장 대중적으로 사용되는 기법들 중 하나가 모델 상태변수와 매개변수를 동시에 업데이트할 수 있는 이중 앙상블 칼만 필터(Dual Ensemble Kalman Filter)이다. 이 방법은 정확도 개선 및 적용의 용이성 때문에 많은 연구 분야에서 사용되어져 왔지만, 앙상블을 생성하는 과정에서 상당시간이 소요되는 단점이 존재한다. 본 연구에서는 상태변수와 매개변수를 동시에 업데이트 하면서 홍수 예측의 정확성을 보장할 뿐만 아니라, 앙상블 생성에 있어 계산 효율을 크게 향상시킬 수 있는 기법을 제안한다. Polynomial Chaos Expansion(PCE) 기법을 사용하여 앙상블 칼만 필터를 모방(mimic)할 수 있는 새로운 대체필터(Surrogate Filter)를 개발하는 것을 목표로 한다. 구체적으로 대체필터를 구성하기 위한 다양한 필터를 설계하였다. 첫째 시간에 대해서 PCE가 변화하지 않는 '불변 필터'(즉, 전체 예측기간에 대해 하나의 필터를 사용하여 자료동화할 수 있는 대체필터)와, 매 시간마다 PCE가 변화하는 '시변 필터'(즉, 예측하는 매 시간마다 새로운 필터를 생성해야 하는 대체필터)를 설계하여 적용성, 정확성, 예측성 등을 비교하였다. 또한, PCE의 하이퍼 매개변수를 최적화하기 위한 최적의 프레임 워크가 제안되어, 대체필터를 구축하는 데 효율을 높이고 PCE의 과적합(overfitting) 현상을 피할 수 있도록 하였다. 본 연구에서 제안된 기법은 기존 단일 및 이중 앙상블 칼만 필터(EnKF)의 결과와 비교 검증하였으며, 그 결과는 다음과 같다. (1) 대체필터의 대부분은 원래 EnKF와 비슷한 정도의 불확실성을 설명할 수 있음; (2) 모든 대체 필터는 선행시간이 짧은 경우의 예측에 있어 우수한 결과를 제공하며, 시변 필터가 불변 필터보다 더 정확한 예측 결과를 제공함; (3) 대체필터는 원래 앙상블 칼만필터보다 최대 500배 빠른 속도로 성능을 향상시킬 수 있음. 제안된 대체필터는 자료동화를 수행하는 기존필터와 비슷한 정도의 정확성, 매우 향상된 효율성을 보장함을 확인할 수 있었다.

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Extracting Ground Information from Airborne Laser Scanning Data based on Mean Filtering Method (평균필터기반 항공레이저측량 자료의 지면정보 추출기법)

  • Choi, Yun-Woong;Lee, Geun-Sang;Chae, Hyo-Sok;Cho, Gi-Sung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.4
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    • pp.61-70
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    • 2005
  • Airborne laser scanning system needs preprocessing which removes some objects such as buildings from the raw DSM data to construct DEM in building area because the laser pulse can't penetrate into the buildings. This study applied the mean filtering method which has various size filter to the DSM data constructed by airborne laser scanning system and decided the optimal filter size as $39{\times}39$ by analyzing the standard deviation change ratio. Also, this study could get the ${\pm}0.065m$ standard error by comparing the optimal filtering DEM and DSM raw data of airborne laser scanning. Therefore, it could know that the mean filtering method, which is presented in this study, is very effective to extract DEM in the urban area which has a low relief.

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Spectrum Based Detector in Non-white Noise Environment (비백색 잡음 환경에 적합한 스펙트럼 기반 탐지기)

  • Yu, Seog-Kun;Joo, Eon-Kyeong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.10
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    • pp.8-13
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    • 2009
  • The MF(matched filter) is the optimum signal detector that maximizes the output instantaneous signal power to average noise power ratio in white noise environment. But it cannot give the optimum detection performance if the background noise is not white. So, the whitening process preceding the matched filter is needed in the conventional detector which results in a PWMF(pre-whitening matched filter). Its performance is mainly affected by the estimation accuracy of non-white noise model which is used in the whitening procedure. To estimate more accurate model to improve performance, the computational complexity is increased. Therefore, a spectrum based detector which shows better performance than the PWMF under the similar complexity condition or less complexity under the similar performance condition is proposed in this paper. And its performance and complexity are analyzed and compared with the conventional PWMF.

Estimation of Single Vegetation Volume Using 3D Point Cloud-based Alpha Shape and Voxel (3차원 포인트 클라우드 기반 Alpha Shape와 Voxel을 활용한 단일 식생 부피 산정)

  • Jang, Eun-kyung;Ahn, Myeonghui
    • Ecology and Resilient Infrastructure
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    • v.8 no.4
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    • pp.204-211
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    • 2021
  • In this study, information on vegetation was collected using a point cloud through a 3-D Terrestrial Lidar Scanner, and the physical shape was analyzed by reconfiguring the object based on the refined data. Each filtering step of the raw data was optimized, and the reference volume and the estimated results using the Alpha Shape and Voxel techniques were compared. As a result of the analysis, when the volume was calculated by applying the Alpha Shape, it was overestimated than reference volume regardless of data filtering. In addition, the Voxel method to be the most similar to the reference volume after the 8th filtering, and as the filtering proceeded, it was underestimated. Therefore, when re-implementing an object using a point cloud, internal voids due to the complex shape of the target object must be considered, and it is necessary to pay attention to the filtering process for optimal data analyzed in the filtering process.

Fast Motion Estimation Algorithm using Filters of Multiple Thresholds (다중 문턱치 필터를 이용한 고속 움직임 예측 알고리즘)

  • Kim, Jong-Nam
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.4
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    • pp.199-205
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    • 2018
  • So many fast motion estimation algorithms for prediction quality and computational reduction have been published due to tremendous computations of full search algorithm. In the paper, we suggest an algorithm that reduces computation effectively, while keeping prediction quality as almost same as that of the full search. The proposed algorithm based on multiple threshold filter calculates the sum of partial block matching error for each candidate, selects the candidates for the next step, compares the stability of optimal candidates with minimum error, removes impossible candidates, and calculates optimal motion vectors by determining the progress of the next step. By doing that, we can find the minimum error point as soon as possible and obtain the better performance of calculation speed by reducing unnecessary computations. The proposed algorithm can be combined with conventional fast motion estimation algorithms as well as by itself, further reduce computation while keeping the prediction quality as almost same as the algorithms, and prove it in the experimental results.

Optimized LCL filter Design of Utility Interactive Inverter Considering Voltage Quality of Local Load (독립부하의 전압품질을 고려한 계통연계 인버터의 LCL필터 최적설계)

  • Jung, SangHyuk;Kim, Youngwoo;Oh, Hyungmin;Choi, Sewan
    • Proceedings of the KIPE Conference
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    • 2011.07a
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    • pp.196-197
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    • 2011
  • 기존 LCL필터 설계기법은 계통에 주입되는 전류의 고조파 저감만을 고려하였으나, 연료전지 시스템과 같이 독립부하가 존재하는 경우, 독립부하의 전압 품질을 보장할 수 있는 필터설계가 이루어져야 한다. 또한 필터성능은 유지하면서 인덕턴스와 캐패시턴스는 작게 설계하는 것이 중요하다. 본 논문에서 계통전류의 고조파 기준은 만족하면서 독립부하 전압리플, 인덕터 부피, 무효전류량, 시스템 밴드위스를 고려한 LCL필터 설계방법을 제안한다.

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Derivation of Kalman Filter for SAR Image Reconstruction (SAR 영상 재생을 위한 Kalman 필터의 구성법)

  • Do, Jae-Su;Nam, Yoon-Seok;Kang, Bub-Joo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.11a
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    • pp.543-546
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    • 2003
  • Kaiman 필터는 통계적 방법에 근거한 필터이므로, 이것을 구성할 때, 추정대상이나 잡음 등의 통계량을 미리 알고 있을 필요가 있다. 일반적으로 이러한 양을 미리 아는 것은 곤란하므로, 필터를 설계할 때에는, 적당한 통계적 모델을 가정하지 않으면 안된다. 그러나, 실제의 통계량이 이러한 값과 다른 경우, 즉, model mismatch가 발생하면, 최적의 추정이 행하여지지 않고 mismatch가 정도가 큰 경우에는, 올바른 추정이 전혀 행하여지지 않을 가능성이 있다. 본 논문에서는 Kalman 필터에 model mismatch가 발생한 경우의 추정값으로의 영향을 2가지의 방법으로 검토한다.

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An Analysis of Recommendation Rate for Collaborative Filtering Algorithm based-on Demographic Information (인구통계학적 특성에 따른 협동적필터링 알고리즘의 추천 효율 분석)

  • 황성희;김영지;이미희;우용태
    • Proceedings of the Korea Database Society Conference
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    • 2001.06a
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    • pp.362-368
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    • 2001
  • 본 논문에서는 고객의 특성을 고려한 최적의 추천시스템을 개발하기 위하여 기존의 인구통계학적 특성에 따른 협동적필터링 기법의 추천 효율을 비교 분석하였다. 비디오에 대한 사용자 평가 값과 예측 값간의 추천 효율에 대한 비교실험을 통하여 상품에 대한 단순한 선호도만을 고려한 기존의 협동적필터링 방법에 의한 추천시스템의 문제점을 개선하여 추천된 상품이나 콘텐츠에 대한 개인별 추천 효율을 향상시키기 위한 모델을 제시하였다. 본 연구 결과를 이용하여 인터넷 비즈니스 분야에서 활발하게 도입되고 있는 eCRM 시스템에서 가장 중요한 요소인 고객들의 인구통계학적인 다양한 특성을 고려한 협동적필터링 기반의 추천시스템을 개발할 수 있으리라 기대한다.

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