• 제목/요약/키워드: Pattern Optimization

검색결과 597건 처리시간 0.028초

곡면 배열 소나의 빔 균일화를 위한 빔 패턴 분석 (Beam pattern analysis for beam homogenization of conformal array sonar)

  • 최정웅;홍우영;임준석;이근화
    • 한국음향학회지
    • /
    • 제41권6호
    • /
    • pp.637-646
    • /
    • 2022
  • 임의의 곡면 배열에서 단위 빔 형성에 사용되는 부배열은 조향 방위마다 기하학적 형상이 다르다. 이 때문에 조향 방위 별 부배열의 빔 패턴은 항상 균일하지 않다. 본 논문에서는 볼록 최적화를 이용한 빔 형성 기법을 곡면 배열에 적용하고, 조향 방위별 빔 성능의 균일성이 향상되는 것을 보였다. 시뮬레이션은 절단 구면 형상의 곡면 배열에 대해 수행되었다. 고각 3 dB 빔 폭의 표준 편차가 크게 감소하였으나 반대급부로 지향 지수도 감소하는 것을 관찰했다. 이를 완화시키기 위한 하나의 방법으로 쉐이딩 함수를 이용한 최적화 기법을 제안한다.

유전알고리즘을 이용한 부분방전 패턴인식 최적화 연구 (A Study on the Optimization of PD Pattern Recognition using Genetic Algorithm)

  • 김성일;이상화;구자윤
    • 전기학회논문지
    • /
    • 제58권1호
    • /
    • pp.126-131
    • /
    • 2009
  • This study was carried out for the reliability of PD(Partial Discharge) pattern recognition. For the pattern recognition, the database for PD was established by use of self-designed insulation defects which occur and were mostly critical in GIS(Gas Insulated Switchgear). The acquired database was analyzed to distinguish patterns by means of PRPD(Phase Resolved Partial Discharge) method and stored to the form with to unite the average amplitude of PD pulse and the number of PD pulse as the input data of neural network. In order to prove the performance of genetic algorithm combined with neural network, the neural networks with trial-and-error method and the neural network with genetic algorithm were trained by same training data and compared to the results of their pattern recognition rate. As a result, the recognition success rate of defects was 93.2% and the neural network train process by use of trial-and-error method was very time consuming. The recognition success rate of defects, on the other hand, was 100% by applying the genetic algorithm at neural network and it took a relatively short time to find the best solution of parameters for optimization. Especially, it could be possible that the scrupulous parameters were obtained by genetic algorithm.

Algorithmic GPGPU Memory Optimization

  • Jang, Byunghyun;Choi, Minsu;Kim, Kyung Ki
    • JSTS:Journal of Semiconductor Technology and Science
    • /
    • 제14권4호
    • /
    • pp.391-406
    • /
    • 2014
  • The performance of General-Purpose computation on Graphics Processing Units (GPGPU) is heavily dependent on the memory access behavior. This sensitivity is due to a combination of the underlying Massively Parallel Processing (MPP) execution model present on GPUs and the lack of architectural support to handle irregular memory access patterns. Application performance can be significantly improved by applying memory-access-pattern-aware optimizations that can exploit knowledge of the characteristics of each access pattern. In this paper, we present an algorithmic methodology to semi-automatically find the best mapping of memory accesses present in serial loop nest to underlying data-parallel architectures based on a comprehensive static memory access pattern analysis. To that end we present a simple, yet powerful, mathematical model that captures all memory access pattern information present in serial data-parallel loop nests. We then show how this model is used in practice to select the most appropriate memory space for data and to search for an appropriate thread mapping and work group size from a large design space. To evaluate the effectiveness of our methodology, we report on execution speedup using selected benchmark kernels that cover a wide range of memory access patterns commonly found in GPGPU workloads. Our experimental results are reported using the industry standard heterogeneous programming language, OpenCL, targeting the NVIDIA GT200 architecture.

희소어레이의 최적화를 위한 계수 최소 자승 방법 (A Weighted Least Square Method for Optimization of Thinned Sensor Arrays)

  • 장병건
    • 한국음향학회지
    • /
    • 제18권4호
    • /
    • pp.78-83
    • /
    • 1999
  • 이 논문은 희소어레이의 최적패턴 형성을 위하여 원하는 패턴과 실제 희소어레이의 패턴간의 오차의 자승치를 최소화하는 방법을 제시한다. 센서의 간격이 어레이 중심에 관하여 대칭인 경우와 비대칭인 경우에 대하여 성능을 점검하며, 어레이 공간의 주어진 영역의 오차함수에 성능 향상을 위하여 계수를 적용한다. 주빔 부근의 측면롭의 효과적인 제어를 위하여 지수 함수적인 계수를 제안하였으며 그 결과 측면롭의 수준이 전체적으로 균등하게 분포되는 패턴을 얻을 수 있었다. 이 결과는 입력잡음신호가 어레이 공간상에 균등하게 입사될 때 효과적으로 사용될 수 있다.

  • PDF

A novel method to specify pattern recognition of actuators for stress reduction based on Particle swarm optimization method

  • Fesharaki, Javad Jafari;Golabi, Sa'id
    • Smart Structures and Systems
    • /
    • 제17권5호
    • /
    • pp.725-742
    • /
    • 2016
  • This paper is focused on stiffness ratio effect and a new method to specify the best pattern of piezoelectric patches placement around a hole in a plate under tension to reduce the stress concentration factor. To investigate the stiffness ratio effect, some different values greater and less than unity are considered. Then a python code is developed by using particle swarm optimization algorithm to specify the best locations of piezoelectric actuators around the hole for each stiffness ratio. The results show that, there is a line called "reference line" for each plate with a hole under tension, which can guide the location of actuator patches in plate to have the maximum stress concentration reduction. The reference line also specifies that actuators should be located horizontally or vertically. This reference line is located at an angle of about 65 degrees from the stress line in plate. Finally two experimental tests for two different locations of the patches with various voltages are carried out for validation of the results.

군집 최적화를 이용한 열화 진단 알고리즘 개발 (The Algorithm Development of Aging Diagnosis Using Swarm Optimization)

  • 김기준
    • 한국전기전자재료학회논문지
    • /
    • 제26권2호
    • /
    • pp.151-157
    • /
    • 2013
  • In this paper, properties of pattern using LBG (Linde-Buzo-Gray) Algorithm was explored including the exactness of K-means algorithm and process time of EM (Expectation Maximization) algorithm in order to develop analysis algorithm of partial discharge pattern in a cable using acoustic data analysis system. Partial discharge was measured by generating inner fault due to lamination of XLPE which is used for cable insulation material. Discharge pattern was analysed by changing the number of swarm article to 2, 4, and 6 in order to interpret swarm structure and properties.

패턴 인식에서 특징 선택을 위한 개미 군락 최적화 (Ant Colony Optimization for Feature Selection in Pattern Recognition)

  • 오일석;이진선
    • 한국콘텐츠학회논문지
    • /
    • 제10권5호
    • /
    • pp.1-9
    • /
    • 2010
  • 이 논문은 특징 선택에 사용되는 개미 군락 최적화의 수렴 특성을 개선하기 위해 선택적 평가라는 새로운 기법을 제시한다. 이 방법은 불필요하거나 가능성이 덜한 후보 해를 배제함으로써 계산량을 줄인다. 이 방법은, 그런 해를 찾아내는데 사용할 수 있는 페로몬 정보 때문에 구현이 가능하다. 문제 크기에 따른 알고리즘의 적용가능성을 판단할 목적으로, 특징 선택에 사용되는 세 가지 알고리즘인 탐욕 알고리즘, 유전 알고리즘, 그리고 개미 군락 최적화의 계산 시간을 분석한다. 엄밀한 분석을 위해 원자 연산이라는 개념을 사용한다. 실험 결과는 선택적 평가를 채택한 개미 군락 최적화가 계산 시간과 인식 성능 모두에서 우수함을 보여준다.

Weight optimization of coupling with bolted rim using metaheuristics algorithms

  • Mubina Nancy;S. Elizabeth Amudhini Stephen
    • Coupled systems mechanics
    • /
    • 제13권1호
    • /
    • pp.1-19
    • /
    • 2024
  • The effectiveness of coupling with a bolted rim is assessed in this research using a newly designed optimization algorithm. The current study, which is provided here, evaluates 10 contemporary metaheuristic approaches for enhancing the coupling with bolted rim design problem. The algorithms used are particle swarm optimization (PSO), crow search algorithm (CSA), enhanced honeybee mating optimization (EHBMO), Harmony search algorithm (HSA), Krill heard algorithm (KHA), Pattern search algorithm (PSA), Charged system search algorithm (CSSA), Salp swarm algorithm (SSA), Big bang big crunch optimization (B-BBBCO), Gradient based Algorithm (GBA). The contribution of the paper isto optimize the coupling with bolted rim problem by comparing these 10 algorithms and to find which algorithm gives the best optimized result. These algorithm's performance is evaluated statistically and subjectively.