• 제목/요약/키워드: gradient systems

검색결과 836건 처리시간 0.03초

고차표면 경사자계코일을 이용한 새로운 공간 선택 방법 (A New Spatial Localization Technique Using High-Order Surface Gradient Coils (SGC))

  • 이종권;양윤정;정성택;이윤;조장희;오창현
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 추계학술대회
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    • pp.43-46
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    • 1994
  • A new spatial localization technique using high-order surface gradient coil (SGC) is proposed. Although the Spatial Selection with High-Order gradient (SHOT) can provide a 2-D selection with only one selective RF pulse, the high-order gradient produced by cylindrical-shape coils has not been clinically useful for clinical systems due to the large minimum selection size caused by the limited radial gradient intensity. However, by using the proposed high-order SGCs located near the imaging region, the size of volume selection can be reduced to a clinically useful 1-4 cm in diameter by applying stronger radial gradient with much less gradient driving power. A 40 cm-by-40 cm $r^{2}$ SGC has been designed and constructed, and phantom and volunteer studies have been performed. Experimental results using spatially localized MRI show good agreement to the theoretically predicted behavior.

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Research on the application of Machine Learning to threat assessment of combat systems

  • Seung-Joon Lee
    • 한국컴퓨터정보학회논문지
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    • 제28권7호
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    • pp.47-55
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    • 2023
  • 본 논문에서는 전투체계 위협지수를 머신러닝 모델 중 Gradient Boosting Regreesor, Suppor Vector Regressor를 통해 예측하는 방법을 제시한다. 현재 전투체계는 안전성과 신뢰성이 중시되는 소프트웨어이므로 신뢰성이 보장되지 않은 AI 기술의 적용을 정책상 제한하고 있으며, 이로 인하여 전력화된 국내 전투체계는 AI 기술을 탑재하고 있지 않다. 하지만 AI의 전력화를 목표로 하는 국방부의 정책 방향에 대응하기 위하여, 전투체계의 머신러닝 적용에 필요한 기반 기술을 확보하기 위한 연구를 실시하였다. 이 연구는 위협지수 평가에 필요한 데이터를 수집한 뒤 데이터 가공 및 정제, 머신러닝 모델 선정 및 최적의 하이퍼 파리미터를 선정하여 학습된 모델의 예측 정확도를 판단하였다. 그 결과 테스트 데이터에 대한 모델 점수가 99점 이상으로 도출되었으며 전투체계에 머신러닝 모델의 적용 가능성을 확인하였다.

선형 파라미터화된 시스템에 대한 적분형 적응보상기 (An Integration Type Adaptive Compensator for a Class of Linearly Parameterized Systems)

  • 유병국;양근호
    • 융합신호처리학회논문지
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    • 제6권2호
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    • pp.82-88
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    • 2005
  • 본 논문은 선형적으로 파라미터화된 시스템에 대한 보상방식을 제안한다. 이 보상기는 전형적인 선형 제어기와 적분형의 적응법칙을 갖는 적응 관측기로 구성되며 이 때 적응법칙은 SG 알고리즘에 근거하여 설계된다. 제안된 보상전략에서는 다른 여러 연구에서 제안된 중간함수 대신에 growth조건, convex조건, attainability조건, 그리고 pseudo gradient 조건을 만족하는 함수들로 적응법칙이 설계된다. 제안된 방식은 추적오차에 대한 점근적 안정도 및 파라미터에 대한 추정오차의 bounded stability를 만족한다. 예제를 통하여 제안된 보상방식의 타당성을 보인다. 그리고 기존의 방식인 Huang의 방법과의 비교를 통해 제안된 방식이 정상상태에서의 파라미터 오차가 더 작아짐을 보인다.

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Gradual modification of Nanoimprint Patterns by Oxygen Plasma Treatment

  • Kim, Soohyun;Kim, Da Sol;Park, Dae Keun;Yun, Kum-Hee;Jeong, Mira;Lee, Jae Jong;Yun, Wan Soo
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2015년도 제49회 하계 정기학술대회 초록집
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    • pp.233-233
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    • 2015
  • We report on a simple method for inducing physical and chemical property-gradient on nanoimprinted patterns by intensity-regulated plasma treatment under caved sample stage. As for the size gradient, a line pattern having a linewidth of 294.9 nm was etched to have gradually varying width from 277.4 nm to 147.9 nm. Modified pattern was proven to be adaptable to replica stamp for reversal patterning. To investigate the wettability gradient, imprinted nanopatterns were coated with fluoroalkylsilane to increase the hydrophobicity, and the surface was modified to have gradually varying wettability from hydrophobic to hydrophilic (contact angle was ${\sim}160^{\circ}$ to ${\sim}5^{\circ}$ on a single chip). This method is expected to be applicable to the selective adsorption of biological entities and hydrodynamic manipulation of liquid droplets for the pumpless microfluidics.

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색상 및 기울기 정보를 이용한 인간 실루엣 추출 (Hybrid Silhouette Extraction Using Color and Gradient Informations)

  • 주영훈;소제윤
    • 한국지능시스템학회논문지
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    • 제17권7호
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    • pp.913-918
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    • 2007
  • 본 논문에서는 인간과 로봇의 인터액션을 위해 연속된 이미지 정보로부터 얻을 수 있는 색상(color)과 기울기(gradient) 정보를 이용하여 인간 몸의 실루엣 추출 기법을 제안한다. 연속된 이미지 정보로부터 얻어진 RGB 영상 정보에서 색상 배경 제거 기법은 각각의 신체 비율 정보로부터 추출된 모션 영역 정보에서 색상 공판별 평균 이미지 정보를 얻고 옷 색상 정보를 볼록 합하여 계산된다. 기울기 배경 제거 기법은 공간상 정보와 시간상 정보의 볼록 합으로 계산된다. 최종적으로 색상 정보와 기울기 정보의 볼록 합을 하여 인간 몸의 실루엣을 추출한다. 마지막으로, 실험을 통하여 제안된 기법의 성능을 확인하였다.

상태변수 구속조건을 갖는 자장시스템의 형상최적화 (Shape Optimization of Magnetic Systems with state variable Constraints)

  • 김창욱;최명준;이세희;박일한
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 A
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    • pp.143-145
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    • 1998
  • This paper presents the shape optimization algorithm of magnetic systems with, state variable constraints using the Finite Element Method. In the design' of electromagnetic systems, sometimes we have to consider the state variables when they seriously affect the performance of electromagnetic systems. So we should define that some design problems have the constraints of the state variables. We use the gradient of constraints and sensitivity analysis in order to consider the state variable constraints and obtain an optimal shape. The optimal shape must be satisfied constraints, so we take the gradient projection method as a kind of optimization methods. In this paper a numerical example with state variable constraints uses the superconducting electromagnet that has another constraint which the volume of the superconductor should be constant.

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A Study on the Edge Enhancement of X-ray Images Generated by a Gas Electron Multiplier Chamber

  • Moon, B.S.;Coster, Dan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권2호
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    • pp.155-160
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    • 2004
  • In this paper, we describe the results of a study on the edge enhancement of X-ray images by using their fuzzy system representation. A set of gray scale X-ray images was generated using the EGS4 computer code. An aluminum plate or a lead plate with three parallel strips taken out has been used as the object with the thickness and the width of the plate, and the gap between the two strips varied. We started with a comparative study on a set of the fuzzy sets for their applicability as the input fuzzy sets for the fuzzy system representation of the gray scale images. Then we describe how the fuzzy system is used to sharpen the edges. Our algorithm is based on adding the magnitude of the gradient not to the pixel value of concern but rather to the nearest neighboring pixel in the direction of the gradient. We show that this algorithm is better in maintaining the spatial resolution of the original image after the edge enhancement.

Optimal Design of Laminate Composites with Gradient Structure for Weight Reduction

  • Back, Sung-Ki;Kang, Tae-Jin;Lee, Kyung-Woo
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 1999년도 추계학술발표대회 논문집
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    • pp.68-72
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    • 1999
  • In an effort to construct a structure under the design principle of minimal use of materials for maximum performances, a discrete gradient structure has been introduced in laminate composite systems. Using a sequential linear programming method, the gradient structure of composites to maximize the buckling load was optimized in terms of fiber volume fraction and thickness of each layer. Theoretical optimization results were then verified with experimental ones. The buckling load of laminate composite showed maximum value with the outmost [$0^{\circ}$] layer concentrated by almost all the fibers when the ratio of length to width(aspect ratio) was less than 1.0. But when the aspect ratio was 2.0, the optimum was determined in a structure where the thickness and fiber volume fraction were well balanced in each layer. From the optimization of gradient structure, the optimal fiber volume fraction and thickness of each layer were proposed. Experimental results agreed well with the theoretical ones. Gradient structures have also shown an advantage in the weight reduction of composites compared with the conventional homogeneous structures.

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