• 제목/요약/키워드: moment-based operators

검색결과 8건 처리시간 0.028초

Comparison of Edge Localization Performance of Moment-Based Operators Using Target Image Data

  • Seo, Suyoung
    • 대한원격탐사학회지
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    • 제32권1호
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    • pp.13-24
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    • 2016
  • This paper presents a method to evaluate the performance of subpixel localization operators using target image data. Subpixel localization of edges is important to extract the precise shape of objects from images. In this study, each target image was designed to provide reference lines and edges to which the localization operators can be applied. We selected two types of moment-based operators: Gray-level Moment (GM) operator and Spatial Moment (SM) operator for comparison. The original edge localization operators with kernel size 5 are tested and their extended versions with kernel size 7 are also tested. Target images were collected with varying Camera-to-Object Distance (COD). From the target images, reference lines are estimated and edge profiles along the estimated reference lines are accumulated. Then, evaluation of the performance of edge localization operators was performed by comparing the locations calculated by each operator and by superimposing them on edge profiles. Also, enhancement of edge localization by increasing the kernel size was also quantified. The experimental result shows that the SM operator whose kernel size is 7 provides higher accuracy than other operators implemented in this study.

평균변화율 및 유일성을 통한 진화 프로그래밍에서 레비 돌연변이 연산 분석 (Analysis of the Levy Mutation Operations in the Evolutionary prograamming using Mean Square Displacement and distinctness)

  • 이창용
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제28권11호
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    • pp.833-841
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    • 2001
  • 본 논문에서는 진화프로그래밍에서 레비 확률분포(Levy probability distribution)를 사용한 돌연변이 연산의 유용성을 레비 돌연변이 연산 후의 변수의 평균변화율(mean square displacement) 및 유일성(distinctness) 등을 통하여 분석하였다. 레비 확률분포는 무한의 분산(infinite second moment을 가지는 확률분포로 쪽거리(fractal)와 연계되어 최근 연구가 활발히 진행되고 있는 확률분포이다. 레비 확률분포를 사용한 레비 돌연변이 연산은 변화가 작은 자손(offspring)뿐만 아니라 기존의 정규분포를 사용한 돌연변이 연산에 비하여 상대적으로 변화가 큰 자손을 생성할 수 있다. 이러한 사실에 기초하여 레비 돌연변이 연산은 보다 넓은 탐색 공간을 효율적으로 조사할 수 있음을 평균변화율 및 유일성 등의 조사를 통하여 수학적으로 증명하였다. 이를 통하여 진화 프로그래밍에서 레비 확률분포에 기초한 돌연변이 연산이 정규분포를 사용한 돌연변이 연산보다 다변량 함수의 최적화의 경우 일반적으로 효율적인 연산임을 알 수 있었다.

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고속프레스의 다이나믹 시스템 및 방진시스템 설계에 관한 연구 (A Study on the Design of Dynamic System and Vibration Isolation System in a High-speed Press)

  • 서진성;정철재;현기용;류민
    • 한국소음진동공학회논문집
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    • 제25권12호
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    • pp.856-865
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    • 2015
  • In a high-speed press, numerous moving links are interconnected and each link executes a constrained motion at high speed. As a consequence, high-level dynamic unbalance force and unbalance moment are transmitted to the main frame of the press, which results in unwanted vibration and significantly degrades manufacturing accuracy. Dynamic unbalance force and unbalance moment inevitably transmits high-level vibrational force to the foundation on which the press is installed. Minimizing the vibrational force transmitted to the foundation is critical for the protection of both the operators and the surrounding structures. The whole task should be carried out in two steps. The first step is to reduce dynamic unbalance based upon kinematic and dynamic analyses. The second step is to design and build an optimal vibration isolation system minimizing the vibrational force transmitted to the foundation. Firstly, the dynamic design method is presented to reduce dynamic unbalance force and moment. For this a 3D CAD software was utilized and a computer program was written to compute dynamic unbalance force and moment. Secondly, the design method for vibration isolation system is presented. The method for designing coil springs and viscous dampers are explained in detail.

Optimal design using genetic algorithm with nonlinear elastic analysis

  • Kim, Seung-Eock;Song, Weon-Keun;Ma, Sang-Soo
    • Structural Engineering and Mechanics
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    • 제17권5호
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    • pp.707-725
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    • 2004
  • An optimal design method with nonlinear elastic analysis is presented. The proposed nonlinear elastic method overcomes the drawback of the conventional LRFD method that accounts for nonlinear effect by using the moment amplification factors of $B_1$ and $B_2$. The genetic algorithm used is a procedure based on Darwinian notions of survival of the fittest, where selection, crossover, and mutation operators are employed to look for high performance ones among sections in the database. They are satisfied with the constraint functions and give the lightest weight to the structure. The objective function taken is the total weight of the steel structure and the constraint functions are strength, serviceability, and ductility requirement. Case studies of a planar portal frame, a space two-story frame, and a three-dimensional steel arch bridge are presented.

유전자 알고리즘을 이용한 이족보행 로봇의 계단 보행 (Trajectory Optimization for Biped Robots Walking Up-and-Down Stairs based on Genetic Algorithms)

  • 전권수;권오흥;박종현
    • 한국정밀공학회지
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    • 제23권4호
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    • pp.75-82
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    • 2006
  • In this paper, we propose an optimal trajectory for biped robots to move up-and-down stairs using a genetic algorithm and a computed-torque control for biped robots to be dynamically stable. First, a Real-Coded Genetic Algorithm (RCGA) which of operators are composed of reproduction, crossover and mutation is used to minimize the total energy. Constraints are divided into equalities and inequalities: Equality constraints consist of a position condition at the start and end of a step period and repeatability conditions related to each joint angle and angular velocity. Inequality constraints include collision avoidance conditions of a swing leg at the face and edge of a stair, knee joint conditions with respect to the avoidance of the kinematic singularity, and the zero moment point condition with respect to the stability into the going direction. In order to approximate a gait, each joint angle trajectory is defined as a 4-th order polynomial of which coefficients are chromosomes. The effectiveness of the proposed optimal trajectory is shown in computer simulations with a 6-dof biped robot that consists of seven links in the sagittal plane. The trajectory is more efficient than that generated by the modified GCIPM. And various trajectories generated by the proposed GA method are analyzed in a viewpoint of the consumption energy: walking on even ground, ascending stairs, and descending stairs.

대청댐 유입량 예측을 위한 Adaptive Moments와 Improved Harmony Search의 결합을 이용한 다층퍼셉트론 성능향상 (Improvement of multi layer perceptron performance using combination of adaptive moments and improved harmony search for prediction of Daecheong Dam inflow)

  • 이원진;이의훈
    • 한국수자원학회논문집
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    • 제56권1호
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    • pp.63-74
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    • 2023
  • 높은 신뢰도의 댐 유입량 예측은 효율적인 댐 운영을 위해 필요하다. 최근 다층퍼셉트론(Multi Layer Perceptron, MLP)을 활용하여 댐의 유입량을 예측하는 연구들이 진행되었다. 기존 연구들은 MLP의 연산자 중 자료 간의 최적 상관관계를 찾는 optimizer로 경사하강법(Gradient Descent, GD) 기반의 optimizer를 사용하였다. 하지만, GD 기반의 optimizer들은 지역 최적값으로의 수렴 가능성과 저장공간 부재로 인해 예측성능이 저하된다는 단점이 있다. 본 연구는 GD 기반 optimizer 중 Adaptive moments와 Improved Harmony Search (IHS)를 결합한 Adaptive moments combined with Improved Harmony Search (AdamIHS)를 개발하여 GD 기반 optimizer의 단점을 개선하였다. AdamIHS를 사용한 MLP의 학습 및 예측성능을 평가하기 위해 대청댐 유입량을 학습 및 예측하였으며, GD 기반 optimizer를 사용한 MLP의 학습 및 예측성능과 비교하였다. 학습결과를 비교하면, AdamIHS를 사용한 은닉층 5개인 MLP의 Mean Squared Error (MSE) 평균값이 11,577로 가장 낮았다. 예측결과를 비교하면, AdamIHS를 사용한 은닉층 1개인 MLP의 MSE 평균값이 413,262로 가장 낮았다. 본 연구에서 개발된 AdamIHS를 활용하면 다양한 분야에서 향상된 예측성능을 보여줄 수 있을 것이다.

유전자 알고리즘을 이용한 비선형 탄성 최적설계 (Nonlinear Elastic Optimal Design Using Genetic Algorithm)

  • 김승억;마상수
    • 한국강구조학회 논문집
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    • 제15권2호
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    • pp.197-206
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    • 2003
  • 본 논문에서는 유전자 알고리즘을 이용한 비선형 탄성 최적설계 방법을 제시하였다. 제안한 비선형 탄성해석은 종래 설계의 단점 즉 탄성해석 후 비선형 효과를 고려하기 위하여 $B_1$, $B_2$ 계수를 사용하는 불합리성을 극복하였다. 유전자 알고리즘은 다윈(Darwin)의 적자생존의 개념을 기본으로 선택, 교배 및 돌연변이라는 세 가지 연산을 수행함으로써 최적설계에 필요한 설계변수 즉 부재 단면을 형성하여, 제약조건을 모두 만족하는 최소 구조물 중량을 제공하는 설계변수를 선택하면서 최적설계를 수행하였다. 목적함수로는 구조물의 총중량을 사용하였으며, 제약조건식으로는 하중저항능력, 사용성 및 연성도를 사용도를 사용하여 최적설계를 수행하였다. 2차원 강뼈대 구조물, 3차원 강뼈대 구조물, 그리고 3차원 강아치교의 설계예제를 수행하였다.

Reinforced concrete structures with damped seismic buckling-restrained bracing optimization using multi-objective evolutionary niching ChOA

  • Shouhua Liu;Jianfeng Li;Hamidreza Aghajanirefah;Mohammad Khishe;Abbas Khishe;Arsalan Mahmoodzadeh;Banar Fareed Ibrahim
    • Steel and Composite Structures
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    • 제47권2호
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    • pp.147-165
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    • 2023
  • The paper contrasts conventional seismic design with a design that incorporates buckling-restrained bracing in three-dimensional reinforced concrete buildings (BRBs). The suboptimal structures may be found using the multi-objective chimp optimization algorithm (MEN-ChOA). Given the constraints and dimensions, ChOA suffers from a slow convergence rate and tends to become stuck in local minima. Therefore, the ChOA is improved by niching and evolutionary operators to overcome the aforementioned problems. In addition, a new technique is presented to compute seismic and dead loads that include all of a structure's parts in an algorithm for three-dimensional frame design rather than only using structural elements. The performance of the constructed multi-objective model is evaluated using 12 standard multi-objective benchmarks proposed in IEEE congress on evolutionary computation. Second, MEN-ChOA is employed in constructing several reinforced concrete structures by the Mexico City building code. The variety of Pareto optimum fronts of these criteria enables a thorough performance examination of the MEN-ChOA. The results also reveal that BRB frames with comparable structural performance to conventional moment-resistant reinforced concrete framed buildings are more cost-effective when reinforced concrete building height rises. Structural performance and building cost may improve by using a nature-inspired strategy based on MEN-ChOA in structural design work.