• 제목/요약/키워드: Array optimization

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2D Sparse Array Transducer Optimization for 3D Ultrasound Imaging

  • Choi, Jae Hoon;Park, Kwan Kyu
    • 비파괴검사학회지
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    • 제34권6호
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    • pp.441-446
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    • 2014
  • A 3D ultrasound image is desired in many medical examinations. However, the implementation of a 2D array, which is needed for a 3D image, is challenging with respect to fabrication, interconnection and cabling. A 2D sparse array, which needs fewer elements than a dense array, is a realistic way to achieve 3D images. Because the number of ways the elements can be placed in an array is extremely large, a method for optimizing the array configuration is needed. Previous research placed the target point far from the transducer array, making it impossible to optimize the array in the operating range. In our study, we focused on optimizing a 2D sparse array transducer for 3D imaging by using a simulated annealing method. We compared the far-field optimization method with the near-field optimization method by analyzing a point-spread function (PSF). The resolution of the optimized sparse array is comparable to that of the dense array.

다특성 동시최적화를 위한 통합배열과 교차배열 접근의 비교연구 (Combined and Product Array Approaches in Simultaneous Optimization of Multiple Responses)

  • 이재훈;박성현
    • 품질경영학회지
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    • 제34권4호
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    • pp.93-101
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    • 2006
  • Robust parameter design is an off-line production technique for reducing variation and improving the quality of products and processes by using product arrays. However, the use of the product arrays usually requires a large number of runs. To overcome the drawback of the product array, the combined array can be used. Also optimizing multiple responses is increasingly important in industry. Using simultaneous optimization measures, we can deal with the multiple response case. In this paper we compare the simultaneous optimization using the Taguchi's product array with using the combined array. And models possible to set on combined arrays are also investigated and compared with the cases of product arrays.

캐비테이션 터널 시험용 청음기배열 최적 설계기법 (A Study on Hydrophone Array Design Optimization for Cavitation Tunnel Noise Measurements)

  • 박철수;설한신;김건도;박영하
    • 한국음향학회지
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    • 제32권3호
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    • pp.237-246
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    • 2013
  • 본 논문에서는 캐비테이션 터널에서의 소음계측용 청음기 배열 설계를 위한 최적화 기법을 제안하였다. 제안된 최적설계 기법은 배열 설계인자 및 목적함수 정의 그리고 최적화 알고리즘 적용 등의 내용으로 구성되어 있다. 설계인자 정의는 원형배열, 나선배열, 다중나선배열을 대상으로 하였다. 목적함수는 주엽의 빔폭과 최대 부엽 크기를 동시에 고려할 수 있도록 정의하였다. 최적화 알고리즘으로는 광역 최적화 기법의 일종인 VFSR 기법을 적용하였다. 최적 설계기법을 각 배열에 적용 후 도출된 최적 배열을 대상으로 최대 부엽크기 및 주엽의 빔폭을 분석하였다. 끝으로 캐비테이션 터널 내부의 다중반사를 고려한 빔형성 결과 평가를 통해 본 기법의 유용성을 확인하였다.

삼각 격자구조를 갖는 평면배열 안테나의 부엽 레벨 감소를 위한 최적 평면배열 형상에 관한 연구 (STUDY ON THE OPTIMAL PLANAR ARRAY STRUCTURE WITH TRIANGULAR LATTICE FOR SIDE-LOBE REDUCTION)

  • 배지훈;성낙선;이태윤;김종면;표철식
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2002년도 종합학술발표회 논문집 Vol.12 No.1
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    • pp.250-254
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    • 2002
  • In this paper, we design an optimized planar array structure with triangular lattice for side-lobe reduction using a genetic algorithm. A constraint optimization is implemented by optimally removing some outer array elements far from the array center. It is shown that only the proper array shape without optimizing the magnitudes and phases of each array antenna can give low side-lobe level with a slight main beam broadening.

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Efficient Global Optimization of Periodic Plasmonic Nanoslit Array Based on Quality Factor Analysis

  • Jaehoon Jung
    • Current Optics and Photonics
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    • 제7권3호
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    • pp.248-253
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    • 2023
  • An efficient global optimization approach for a periodic plasmonic nanoslit array based on extraordinary optical transmission within an acceptable time range is proposed using 𝚀 factor analysis method. The particle swarm optimization is employed as a global optimization tool. The figure of merit is defined as a product of transmission peak value and 𝚀 factor. The design variables are the slit width, height, and period of the slit array, respectively. The optical properties such as transmission spectrum and bandwidth are calculated rigorously using the finite element method.

Hexagon 타일 부배열 안테나 시스템 구조 최적화에 관한 연구 (A Study on Optimization of Structure for Hexagon Tile Sub-array Antenna System)

  • 정진우;표성민
    • 전기전자학회논문지
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    • 제26권1호
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    • pp.129-132
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    • 2022
  • 본 논문에서는 위상배열안테나의 부엽레벨을 최소화할 수 있는 부배열 시스템 구조의 최적화에 관한 기술을 제안하였다. 제안된 배열안테나 구조의 최적화는 6개의 육각배열을 한 개의 부배열과 육각 부배열의 육각형 배열 구조를 이용하여, 부배열의 배열간격과 부배열 사이의 배열 간격을 조절하여, 전체 위상배열안테나 시스템의 방사패턴을 최적화하였다. 제안된 기술은 2차원 평명배열안테나 시스템에 비하여, 24.3 dBi의 이득과 8.46도의 반치각은 변화없이 유지하며, 오직 x축과 y축 방향으로 각각 -3.4 dB와 -6.5 dB를 감소시켰다.

TOPSIS와 전산직교배열을 적용한 자동차 로워암의 다수준 형상최적설계 (Multi-level Shape Optimization of Lower Arm by using TOPSIS and Computational Orthogonal Array)

  • 이광기;한승호
    • 한국정밀공학회지
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    • 제28권4호
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    • pp.482-489
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    • 2011
  • In practical design process, designer needs to find an optimal solution by using full factorial discrete combination, rather than by using optimization algorithm considering continuous design variables. So, ANOVA(Analysis of Variance) based on an orthogonal array, i.e. Taguchi method, has been widely used in most parts of industry area. However, the Taguchi method is limited for the shape optimization by using CAE, because the multi-level and multi-objective optimization can't be carried out simultaneously. In this study, a combined method was proposed taking into account of multi-level computational orthogonal array and TOPSIS(Technique for Order preference by Similarity to Ideal Solution), which is known as a classical method of multiple attribute decision making and enables to solve various decision making or selection problems in an aspect of multi-objective optimization. The proposed method was applied to a case study of the multi-level shape optimization of lower arm used to automobile parts, and the design space was explored via an efficient application of the related CAE tools. The multi-level shape optimization was performed sequentially by applying both of the neural network model generated from seven-level four-factor computational orthogonal array and the TOPSIS. The weight and maximum stress of the lower arm, as the objective functions for the multi-level shape optimization, showed an improvement of 0.07% and 17.89%, respectively. In addition, the number of CAE carried out for the shape optimization was only 55 times in comparison to full factorial method necessary to 2,401 times.

Wilks Lamda 방법을 이용한 화학센서 어레이 최적화 (Chemical Sensors Array Optimization Based on Wilks Lamda Technique)

  • 전진영;유준부;신정숙;변형기
    • 센서학회지
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    • 제23권5호
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    • pp.299-304
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    • 2014
  • Optimizing the performance of a composite sensor array is necessary when the number of sensors to choose from is large. In this paper, we present a chemical sensors array optimization method using Wilks Lamda algorithm applicable a device to detect low concentration of alcohol from driver's exhale breath for interlocking engine ignition preventing drink-driving. More than 20 chemical sensors fabricated different synthetic stuffs and heater temperatures by collaborators were nominated, 5 sensors were selected for optimal sensors array using the method, and alcohol samples were well discriminated from the interference gases inside the vehicle. It has been confirmed by Principal Component Analysis (PCA).

유한 요소기법에 의한 육각형 배열 변환기의 지향성 최적화 (Beam Pattern Optimization of Hexagonal Array Transducer Using Finite Element Method)

  • 장순석;이제형;안흥구
    • 소음진동
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    • 제10권1호
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    • pp.123-128
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    • 2000
  • This paper describes the optimization of the hexagonal array transducer using finite element method. The transducer consists of the disc type sensors. Three dimensional beam patterns of each element and the array transducer are analysed using the finite element code ATILA. Beam patterns were analyzed for the disc type transducer. To optimize beam patterns of the array transducer, Chebyshev polynomial weight is applied to each element. In case of applying optimized weight, a 30 degree width beam pattern is presented at 10kHz. This paper also includes the effect of rubber filling material instead of using the water inside the transducer array.

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직교배열과 분산분석법을 이용한 사출금형 냉각시스템 파라미터의 시뮬레이션 최적설계 (A Simulation-based Optimization of Design Parameters for Cooling System of Injection Mold by using ANOVA with Orthogonal Array)

  • 박종천;신승민
    • 한국기계가공학회지
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    • 제11권5호
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    • pp.121-128
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    • 2012
  • The optimization of cooling system parameters for designing injection mold is very important to acquire the highest part quality. In this paper, the integration of computer simulations of injection molding and Analysis of Variance(ANOVA) with orthogonal array was used as a design tool to optimize the cooling system parameters aimed at minimizing the part warpage. The design optimizer was applied to find the optimum levels of cooling system parameters for a dustpan. This optimization resulted in more uniform temperature distribution over the part and significant reduction of a part warpage, showing the capability of present method as an effective design tool. The whole optimization process was performed systematically in a proper number of cooling simulations. The design optimizer can be utilized effectively in the industry practice for designing mold cooling system with less cost and time.