• Title/Summary/Keyword: 최적선정

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Development of Climate Data Management System Based on Satellite Imagery for Asia-Pacific Regions (아시아-태평양 지역 대상 위성영상 기반 기후 자료 관리 시스템 개발)

  • Park, Jihoon;Park, Kyungwon;Jung, Imgook;Cho, Wonil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.23-23
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    • 2019
  • 본 연구의 목적은 아시아-태평양 지역을 대상으로 위성영상 기반 고해상도의 신뢰성이 있고 쉽게 접근할 수 있는 강수 자료를 제공하는 데 있다. 본 연구에서 개발한 기후 관리 시스템은 총 3가지의 위성자료(원시위성자료, 편의보정한 위성자료, 공간상세화한 위성자료)를 제공한다. 위성자료의 공간해상도는 $0.1^{\circ}$, $0.05^{\circ}$이며, 시간해상도는 1 day이다. 비교적 신뢰성이 높은 기후 자료가 구축된 한반도를 대상으로 위성영상 편의보정, 공간상세화 기법을 검증하고, 개발한 기법을 아시아-태평양에 위치한 바누아투에 적용하여 기후 자료를 생산하였다. 원시위성자료는 TRMM (Tropical Rainfall Measurement Mission) 위성과 GPM (Global Precipitation Mission) 위성을 사용하여 구축하였다. 편의보정은 GRA-IDW (Geographical Ratio Analysis-Inverse Distance Weighted), GRA-Kriging, QM (Quantile Mapping) 기법을 검토하여 본 연구에 적합한 알고리즘을 개발하고 이 중 최적의 결과를 보여주는 GRA-IDW 기법을 최종적으로 선정하였다. 공간상세화는 PRISM (Parameter-elevation Regressions on Independent Slopes Model)을 선정하여 수행하였다. 원시위성자료를 검증한 결과를 살펴보면 상관계수는 1998년부터 2017년까지 0.775로 비교적 정확도가 높게 나왔다. bias 값은 원시위성자료 값이 지상관측자료보다 과대추정하는 것으로 나타났다. 최종적인 편의보정 기법으로 GRA-IDW 기법을 선정하여 편의보정한 위성자료를 생산하였다. 공간상세화한 위성자료를 검증한 결과를 앞서 분석한 원시위성자료, 편의보정한 위성자료와 비교하면, 공간상세화를 수행하기 전보다 상관계수는 다소 작아지고, RMSE는 커지는 것으로 나타나나 그 차이가 크지 않아 공간상세화한 위성자료를 응용분야에 직접 사용할 수 있을 것으로 분석된다. 본 연구를 통해 개발된 기법을 활용하면 아시아-태평양에 신뢰성 있는 기후 관측 자료를 제공할 수 있다. 향후 본 연구에서 선정한 대상지역 이외에 기상관측소의 수가 희박하고 불균등하게 분포하고 있는 아시아-태평양 지역에 본 과업에서 개발한 시스템을 적용하여 신뢰성 있는 기후 자료를 제공할 수 있을 것으로 사료된다.

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Automatic Generation of Aimpoints Using 3D Target Shapes and CEP (3차원 모델 형상과 원형공산오차를 고려한 목표점 자동 생성 기법)

  • Kang, Yuna
    • Journal of the Korea Society for Simulation
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    • v.28 no.2
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    • pp.71-79
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    • 2019
  • This research proposes an automatic generation system of aimpoints with considering 3D target shapes and CEP(circular error probability) values after determining a target and an azimuth value. In the past, users decided aimpoints manually based on experience or just chose a middle point of the 3D model. Futhermore, it was not possible to select a proper position with consideration of azimuth because users should decide aimpoints before the azimuth value was determined. To solve this problem, this research provides a automatic system to compute proper aimpoints with 3D target shapes, azimuth values and CEP. This article contains the explanation of 3 steps for generating aimpoints automatically: first, generating a reference plane and candidate entry points, then computing scores of each entry points and finally determining an aimpoint from the entry point with the highest score. Users can easily determine a final aimpoint with high probability of success using this system.

A Study of the Optimal Displacement Analysis Algorithm for Retaining Wall Displacement Measurement System Based on 2D LiDAR Sensor (2D LiDAR 센서 기반 흙막이 벽체 변위 계측 시스템의 최적 변위 분석 알고리즘 연구)

  • Kim, Jun-Sang;Lee, Gil-yong;Yoou, Geon hee;Kim, Young Suk
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.2
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    • pp.70-78
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    • 2023
  • Inclinometer has several problems of 1)difficulty installing inclinometer casing, 2) measuring 2D local lateral displacement of retaining wall, 3) measurement by manpower. To solve such problems, a 2D LiDAR sensor-based retaining wall displacement measurement system was developed in previous studies. The purpose of this study is to select a displacement analysis algorithm to be applied in the retaining wall displacement measurement system. As a result of the displacement analysis algorithm selection, the M3C2 (Multiple Model to Model Cloud Comparison) algorithm with a displacement estimation error of 2mm was selected as the displacement analysis algorithm. If the M3C2 algorithm is applied in the system and the reliability of the displacement analysis result is secured through several field experiments. Convenient management of the displacement for the retaining wall is possible in comparison with the current measurement management.

A Case Study on AHP Technique Application for the Reinforcing Method Selection on a Cut-Slope (절토사면 보강기법 선정에 있어서 AHP기법 적용에 관한 사례연구)

  • Han, Jung-Geun;Lee, Jong-Young
    • Journal of the Korean Geotechnical Society
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    • v.24 no.8
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    • pp.81-88
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    • 2008
  • In this study, to determine the priority of the effect factors and the preferences of commonly used reinforcing methods for the cut-slope, the reasonable analysis using AHP technique was performed. Analytic Hierarchy Process (AHP) technique is the most widely used method out of all existing decision making methods. On choosing the methods, the most important factor is analyzed to be the stability and durability. Stability, durability and environmental compatibility took up over 50% of the total contributing factors. Cut-slope reinforced method preference with increasing stability method confirmed that concrete retaining wall, reinforced-soil wall and cutting method showed the highest preference rate. Also, in practical field conditions, the cutting method out of four methods was chosen to be the most effective method. This reflected that the methods that are equally superior in all aspects of evaluation factors are more important than the methods with superiority in highly prioritized evaluation factors.

Integrated Optimal Design of Hybrid Structural Control System using Multi-Stage Goal Programming Technique (다단계 목표계획법을 이용한 복합구조제어시스템의 통합최적설계)

  • 박관순;고현무;옥승용
    • Journal of the Earthquake Engineering Society of Korea
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    • v.7 no.5
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    • pp.93-102
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    • 2003
  • An optimal design method for hybrid structural control system of building structures subject to earthquake excitation is presented in this paper. Designing a hybrid structural control system may be defined as a process that optimizes the capacities and configuration of passive and active control systems as well as structural members. The optimal design proceeds by formulating the optimization problem via a multi-stage goal programming technique and, then, by finding reasonable solution to the optimization problem by means of a goal-updating genetic algorithm. In the multi-stage goal programming, design targets(or goals) are at first selected too correspond too several stages and the objective function is th n defined as the sum of the normalized distances between these design goals and each of the physical values, that is, the inter-story drifts and the capacities of the control system. Finally, the goal-updating genetic algorithm searches for optimal solutions satisfying each stage of design goals and, if a solution exists, the levels of design goals are consecutively updated to approach the global optimal solution closest too the higher level of desired goals. The process of the integrated optimization design is illustrated by a numerical simulation of a nine-story building structure subject to earthquake excitation. The effectiveness of the proposed method is demonstrated by comparing the optimally designed results with those of a hybrid structural control system where structural members, passive and active control systems are uniformly distributed.

A Study on the Optimal Probability Distribution for the Time Interval Between Ships on the Traffic Route of the Busan North Port (부산 북항 통항 선박간의 시간간격 최적 확률분포에 관한 연구)

  • Kim, Jong-Kwan
    • Journal of Navigation and Port Research
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    • v.43 no.6
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    • pp.413-419
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    • 2019
  • Traffic routes typically have heavy traffic. Especially, the entrance of the route has a high risk of accidents occurring because of ships entering and exiting the port. However, almost of studies have focused on the distribution of traffic on the route. Thus, studies on the distribution between ships for passing through the route are insufficient. The purpose of this study was to analysis the traffic in the Busan north port No.1 route for one week. Based on present traffic conditions, one gate line was settled on the route with an analysis of traffic conditions. Based on the analysis data, each optimal time probability distribution between ships was divided into inbound/outbound and traffic volume. An analysis of the optimal probability distribution, was applied to 31 probability distributions divided into bounded, unbounded, non-negative, and advanced probability distribution. The KS test was applied for identifying three major optimal time probability distributions. According to the KS test results, the Wakeby distribution is the best optimal time probability distribution on the designated route. Although the optimal time probability distribution for other transportation studies such as on vehicles on highways is a non-negative probability distribution, this distribution is an advanced probability distribution. Thus, the application of major probability distribution for using other transportation studies is not applicable to this study Additionally, the distance between ships in actual traffic surveys and the distance estimated by the optimal probability distribution were compared. As a result of the comparison, those distances were fairly similar. However, this study was conducted in only one major port. Thus, it is necessary to investigate the time between ships and calculate a traffic volume on varying routes in future studies.

TOPSIS-Based Multi-Objective Shape Optimization for a CRT Funnel (TOPSIS 를 적용한 CRT 후면유리의 다중목적 형상최적설계)

  • Lee, Kwang-Ki;Han, Jeong-Woo;Han, Seung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.7
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    • pp.729-736
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    • 2011
  • The technique for order preference by similarity to ideal solution (TOPSIS) is regarded as a classical method of multiple attribute decision making (MADM), often used to solve various decision-making or selection problems. It is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The TOPSIS can be applied to a design process for carrying out multi-objective shape optimization wherein the best and worst alternatives are to be decided. In this paper, multi-objective shape optimization using the TOPSIS and Rational Bezier curve was applied to the funnel of a cathode-ray tube (CRT). In order to minimize the weight and first principal stress, a new multi-objective shape optimization methodology is proposed, wherein the relative-closeness coefficients of the TOPSIS are defined as the performance indices of a multi-objective function and evaluated by response surface models. This methodology enables the designer to decide on the best solution from a number of design specification groups by examining the various conflicts between the weight and the first principal stress.

A Study on the Optimized Design of O-rings for LPG Filling Unit (LPG 충전노즐에 장착된 O-링의 최적설계에 관한 연구)

  • Kim Chung-Kyun;Kim Do-Hyun
    • Journal of the Korean Institute of Gas
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    • v.10 no.3 s.32
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    • pp.34-40
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    • 2006
  • This paper presents the optimized design of O-rings with a rectangular groove and dovetails, which are strongly related on the sealing performance of LPG filling unit. The computed results on the optimal design are analyzed by non-linear MARC finite element program with Taguchi method. O-rings with 4 different groove models are analyzed for 3 different elastomeric materials. The design parameters are given to polymer materials, groove depth, groove width, and diameter of O-rings. The FEM computed results showed that the affection ratios of O-ring diameter and material property are the most influential parameter among the groove width, groove depth, and compression ratio. Thus, this paper recommends model III for a rectangular groove and model IV for a dovetail groove with a given gas supply pressure of 1.764 MPa.

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Chine Shape Optimization for Directional Stability at High Angle of Attack (고 받음각에서의 방향 안정성 향상을 위한 Chine 형상 최적설계)

  • Park, Hyeong-Uk;Park, Mee-Young;Lee, Jae-Woo;Byun, Yung-Hwan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.9
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    • pp.825-834
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    • 2008
  • Nose chine shape optimization study has been performed to maximize the directional stability at high angle of attack supersonic flow. Various chine shapes are generated using super ellipse equation. By numerically investigating the directional stability characteristics of those shapes, the baseline configuration for the shape optimization has been selected using the three-dimensional Navier-Stokes equations. The configuration is represented by the NURBS curves which can adjust the surface geometry by the control points. The response surfaces are constructed to obtain optimum shape which has high directional stability characteristics and lift-to-drag ratio. From this study, an efficient configuration design and optimization process which utilizes the parameter-based configuration generation techniques and approximation method has been established, then 29% improvement of the directional stability by strong vortexes from chine nose is accomplished.

Robust Design Optimization of a Fighter Wing Using an Uncertainty Model Constructed by Neural Network (신경망으로 구축된 불확실성 모델을 이용한 전투기 날개의 강건 최적 설계)

  • Kim, Ju-Hyun;Kim, Byung-Kon;Jun, Sang-Ook;Jeon, Yong-Hee;Lee, Dong-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.2
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    • pp.99-104
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    • 2008
  • This study performed robust design optimization of fighter wing planform, considering uncertainty based on neural network model. To construct uncertainty model, aerodynamic performance and their sensitivity were evaluated by 3-dimensional Euler equations and adjoint variable method at experimental points selected from central composite design. In addition, because a neural network model has the advantage of capturing non-linear characteristic, it was possible to predict sensitivity of the aerodynamic performance efficiently and accurately . From the results of robust design optimization, it could be confirmed that the robustness of the objective function and constraints were improved if the variation of uncertainty and sigma level were increased.