• Title/Summary/Keyword: 근사 기법

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A study on the actual precision shooting training based on virtual reality (가상현실 기반 실전적 정밀사격훈련 구현 연구)

  • Lee, Byounghwak;Kim, Jonghwan;Shin, Kyuyoung;Kim, Dongwook;Lee, Wonwoo;Kim, Namhyuk
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.62-71
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    • 2018
  • The rapid growth of virtual reality technology in the era of the 4th Industrial Revolution has accelerated scientification of combat training systems in addition to ICT(information and communications technology) in military field. Recently, research and development of simulators based on virtual reality have been actively conducted in order to solve sensitive issues such as increase of civil complaints due to the noise of a shooting range, prevention of shooting accident, and reduction of training cost. In this paper, we propose two key solutions: spatial synchronization method and modified point mass trajectory model with small angle approximation to overcome technical limitations of a current training simulator. A trainee who wears a haptic vest in a mixed reality environment built in MARS(medium-range assault rifle shooting simulator) is able to conduct not only precision shooting but also two-way engagement with virtual opponents. It is possible for trainee to receive more reliable evaluations in the MARS than an existing rifle simulator based on laser.

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2D Numerical Simulations for Shallow-water Flows in the Channel with a Side Weir (측면 위어가 있는 수로의 천수 흐름에 대한 2차원 수치모의)

  • Hwang, Seung-Yong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.337-337
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    • 2015
  • 홍수 저감, 생태계 복원, 위락 등 다양한 목적의 충족을 위해 강변에 저류지, 즉 다목적 유수지(detention basin)를 조성하는 사례가 나타나고 있다. 하천에서 홍수의 발생으로 수위가 어떤 기준보다 높아지면, 흐름의 일부를 돌려 저류지로 보냄으로써 본류의 부담을 덜 수 있다. 이때, 흐름의 분기를 위해 설치되는 하천구조물 중 하나가 측면 위어(side weir) 또는 횡월류 위어(side discharge/overflow weir)이다. 하천의 계획과 설계에서 위어가 적용될 때, 위어에 대한 수위-유량 관계, 즉 그 형식과 제원에 적합한 유량계수(discharge coefficient)의 결정이 관건이 된다. 일반적인 위어와 달리 흐름 양상이 복잡한 측면 위어의 경우, 이론과 실제의 괴리가 아직까지 해소되지 않아 실물 또는 3차원 수치 모형을 이용한 시험으로 수위-유량 관계를 수립할 필요가 있다. 이렇게 결정된 수위-유량 관계는 1차원 또는 수심적분 2차원 모형의 내부 또는 외부 경계로 사용되며, 본류의 수위 증감에 따른 측면 위어의 횡월류량을 통해 저류지의 홍수 조절 능력을 평가할 수 있다. 이 연구에서는, 측면 위어의 수위-유량 관계가 알려지지 않더라도, 저류지에 의한 홍수 조절 효과를 평가할 수 있는 2차원 수치모의에 대해 검토하였다. 수치해법으로서 2차원 천수방정식에 대해 유한체적법을 적용하고, 흐름률(flux)의 정확한 계산을 위해 근사 Riemann 해법을 도입하였다. 먼저, 측면 위어가 없는 실험 조건에 대해 수로 내 한 측선에서 측정된 수위와 유량을 모의 결과와 비교하여 모형을 검증하였다. 이때, 경계조건으로 상류 끝에 측정 유량을, 하류 끝에 측정 수위를 부여하였으며, Manning의 조도계수를 0.014로 설정하였다. 또한, 측면 위어가 설치된 수로에 대해 계산 영역을 340개의 삼각형 격자로 분할하고 측면 위어가 없는 경우와 동일한 조건을 두어 모의하였다. 측면 위어의 하류에 위치한 측선에서 측정치에 대한 평균 제곱근(root mean square) 오차가 수위에 대해 1.9 mm, 유량에 대해 $2.2{\ell}/s$로서 그림과 같이 모의 결과는 실험의 그것과 잘 일치하였다. 이로써, 측면 위어에 대한 수위-유량 관계의 수립을 위한 실물 모형 시험 없이 수심적분 2차원 수치모의를 통해 저류지의 홍수 조절 효과를 평가할 수 있음이 확인되었다.

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Determination of coagulant input rate in water purification plant using K-means algorithm and GBR algorithm (K-means 알고리즘과 GBR 알고리즘을 이용한 정수장 응집제 투입률 결정 기법)

  • Kim, Jinyoung;Kang, Bokseon;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.6
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    • pp.792-798
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    • 2021
  • In this paper, an algorithm for determining the coagulant input rate in the drug-injection tank during the process of the water purification plant was derived through big data analysis and prediction based on artificial intelligence. In addition, analysis of big data technology and AI algorithm application methods and existing academic and technical data were reviewed to analyze and review application cases in similar fields. Through this, the goal was to develop an algorithm for determining the coagulant input rate and to present the optimal input rate through autonomous driving simulator and pilot operation of the coagulant input process. Through this study, the coagulant injection rate, which is an output variable, is determined based on various input variables, and it is developed to simulate the relationship pattern between the input variable and the output variable and apply the learned pattern to the decision-making pattern of water plant operating workers.

Incomplete data handling technique using decision trees (결정트리를 이용하는 불완전한 데이터 처리기법)

  • Lee, Jong Chan
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.39-45
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    • 2021
  • This paper discusses how to handle incomplete data including missing values. Optimally processing the missing value means obtaining an estimate that is the closest to the original value from the information contained in the training data, and replacing the missing value with this value. The way to achieve this is to use a decision tree that is completed in the process of classifying information by the classifier. In other words, this decision tree is obtained in the process of learning by inputting only complete information that does not include loss values among all training data into the C4.5 classifier. The nodes of this decision tree have classification variable information, and the higher node closer to the root contains more information, and the leaf node forms a classification region through a path from the root. In addition, the average of classified data events is recorded in each region. Events including the missing value are input to this decision tree, and the region closest to the event is searched through a traversal process according to the information of each node. The average value recorded in this area is regarded as an estimate of the missing value, and the compensation process is completed.

Evaluation of Uncertainty Importance Measure for Monotonic Function (단조함수에 대한 불확실성 중요도 측도의 평가)

  • Cho, Jae-Gyeun
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.5
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    • pp.179-185
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    • 2010
  • In a sensitivity analysis, an uncertainty importance measure is often used to assess how much uncertainty of an output is attributable to the uncertainty of an input, and thus, to identify those inputs whose uncertainties need to be reduced to effectively reduce the uncertainty of output. A function is called monotonic if the output is either increasing or decreasing with respect to any of the inputs. In this paper, for a monotonic function, we propose a method for evaluating the measure which assesses the expected percentage reduction in the variance of output due to ascertaining the value of input. The proposed method can be applied to the case that the output is expressed as linear and nonlinear monotonic functions of inputs, and that the input follows symmetric and asymmetric distributions. In addition, the proposed method provides a stable uncertainty importance of each input by discretizing the distribution of input to the discrete distribution. However, the proposed method is computationally demanding since it is based on Monte Carlo simulation.

Estimation of Rivers Discharge by Probabilistic Velocity Function Considering Hydraulic Characteristics (하천 수리특성을 고려한 확률론적 유속공식에 의한 하천유량 산정)

  • Choo, Tai Ho;Lee, Sang Jin;Park, Sang Woo;Oh, Ryun Su
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6B
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    • pp.537-542
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    • 2009
  • To improve stage-discharge curve equation considering water level's function, this study suggested the method that can efficiently compute rivers discharge based on hydraulic characteristics such as river width, area, channel bed slope and entropy concept adopting probabilistic approach. This scheme is proposed to estimate discharge from the velocity formulation based on the entropy function in the equilibrium state derived from the relation between mean and maximum flow velocity. It has been tested using field and laboratory hydraulic data collected from the Alberta university in Canada. As a result it was found that the method proposed in this study was more efficient and accurate comparing with the traditional stage-discharge curve equation.

Applying the ANFIS to the Analysis of Rain and Dark Effects on the Saturation Headways at Signalized Intersections (강우 및 밝기에 따른 신호교차로 포화차두시간 분석에의 적응 뉴로-퍼지 적용)

  • Kim, Kyung Whan;Chung, Jae Whan;Kim, Daehyon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4D
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    • pp.573-580
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    • 2006
  • The Saturation headway is a major parameter in estimating the intersection capacity and setting the signal timing. But Existing algorithms are still far from being robust in dealing with factors related to the variation of saturation headways at signalized intersections. So this study apply the fuzzy inference system using ANFIS. The ANFIS provides a method for the fuzzy modeling procedure to learn information about a data set, in order to compute the membership function parameters that best allow the associated fuzzy inference system to track the given input/output data. The climate conditions and the degree of brightness were chosen as the input variables when the rate of heavy vehicles is 10-25 %. These factors have the uncertain nature in quantification, which is the reason why these are chosen as the fuzzy variables. A neuro-fuzzy inference model to estimate saturation headways at signalized intersections was constructed in this study. Evaluating the model using the statistics of $R^2$, MAE and MSE, it was shown that the explainability of the model was very high, the values of the statistics being 0.993, 0.0289, 0.0173 respectively.

Photorealistic Building Modelling and Visualization in 3D GIS (3차원 GIS의 현실감 부여 빌딩 모델링 및 시각화에 관한 연구)

  • Song, Yong Hak;Sohn, Hong Gyoo;Yun, Kong Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2D
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    • pp.311-316
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    • 2006
  • Despite geospatial information systems are widely used in many different fields as a powerful tool for spatial analysis and decision-making, their capabilities to handle realistic 3-D urban environment are very limited. The objective of this work is to integrate the recent developments in 3-D modeling and visualization into GIS to enhance its 3-D capabilities. To achieve a photorealistic view, building models are collected from a pair of aerial stereo images. Roof and wall textures are respectively obtained from ortho-rectified aerial image and ground photography. This study is implemented by using ArcGIS as the work platform and ArcObjects and Visual Basic as development tools. Presented in this paper are 3-D geometric modeling and its data structure, texture creation and its association with the geometric model. As the results, photorealistic views of Purdue University campus are created and rendered with ArcScene.

Uncertainty of the operational models in the Nakdong River mouth (낙동강 하구 환경변화 예측모형의 불확실성)

  • Cho, Hong Yeon;Lee, Gi Seop
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.4-4
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    • 2022
  • 낙동강 하구 환경/생태 복원을 위하여 "해수유입"으로 하구환경을 조성하는 사업이 추진되고 있으며, 해수 유입 규모와 빈도에 따른 생태환경변화를 예측하는 연구수요가 증가하고 있는 상황이다. 보다 구체적으로는 단기간의 해수유입에 의한 흐름 및 염분 확산범위 예측과 더불어 보다 장기간의 지형변화, 수질환경 변화, 생태환경 변화 등에 대한 예측이 필요한 상황이다. 그리고 그 예측의 대부분을 수치모델에 크게 의존하고 있는 상황이다. 그러나, 수치모형을 이용한 단기 예측은 가까운 미래에 대한 입력조건을 사용하여야 하기 때문에 입력조건에 대한 불확실성이 포함되고, 환경생태모형의 불확실성에 따른 예측 한계 등으로 인하여 오차가 누적되기 때문에 직접적인 활용에 크게 제한이 따를 수 있다. 또한 운영과정에서 어떤 분산, 편향 오차 등이 지속적으로 발생하는 경우, 모델 예측 결과에 대한 신뢰수준이 크게 감소하기 때문에 모델의 적절한 운영기법이 요구된다. 모델은 관심을 가지는 자연현상에 대한 근사(approximation)이고, 예상하지 못한 오차가 발생할 수 있기 때문에 관측 자료를 이용한 자료동화(data assimilation) 과정이 운영모델에서는 필수적인 부분이다. 이론적인 기반이 탄탄한 유체역학 기반 기상예측의 경우에도, 가용한 모든 지점의 관측 자료를 이용한 자료 동화과정을 통하여 모델 예측 결과를 개선하여 나가는 과정을 포함하여 운영하고 있다. 이 과정이 포함하는 중요한 개념은 수치모델이 가지고 있는 (예측 수준의) 한계를 인정하고, 수치모델에 전적으로 의존하는 것이 아니라 관측 자료를 이용하여 그 한계를 저감하여 나가는 과정이다. 모니터링은 모델의 한계를 알려주는 지표이다. 모델링과 모니터링의 불가피한 상호의존 관계를 의미하는 이 개념은 단기간의 흐름, 염분 확산 예측으로 한정되지 않고, 장기적인 변화가 예상되는 생태환경변화 모델에도 적용이 된다. 즉각적인 변화보다는 장기적인 관점에서 파악하여야 하는 생태학적인 변화는 보다 다양한 인자가 관여하기 때문에 어떤 측면에서는 모델보다는 적절한 빈도와 항목에 대한 관측계획 수립(monitoring design)이 더 중요하다고 할 수 있다. 이론적인 질량보존(mass conservation) 방정식을 기반으로 하는 모델은 다양한 현실적인 인자의 영향을 받기 때문에 모델의 한계를 인정하고, 모니터링 자료를 적극적으로 활용하여 불확실성을 저감하는 접근방식이 요구된다.

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Optimization of the Truss Structures Using Member Stress Approximate method (응력근사해법(應力近似解法)을 이용한 평면(平面)트러스구조물(構造物)의 형상최적화(形狀最適化)에 관한 연구(研究))

  • Lee, Gyu Won;You, Hee Jung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.13 no.2
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    • pp.73-84
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    • 1993
  • In this research, configuration design optimization of plane truss structure has been tested by using decomposition technique. In the first level, the problem of transferring the nonlinear programming problem to linear programming problem has been effectively solved and the number of the structural analysis necessary for doing the sensitivity analysis can be decreased by developing stress constraint into member stress approximation according to the design space approach which has been proved to be efficient to the sensitivity analysis. And the weight function has been adopted as cost function in order to minimize structures. For the design constraint, allowable stress, buckling stress, displacement constraint under multi-condition and upper and lower constraints of the design variable are considered. In the second level, the nodal point coordinates of the truss structure are used as coordinating variable and the objective function has been taken as the weight function. By treating the nodal point coordinates as design variable, unconstrained optimal design problems are easy to solve. The decomposition method which optimize the section areas in the first level and optimize configuration variables in the second level was applied to the plane truss structures. The numerical comparisons with results which are obtained from numerical test for several truss structures with various shapes and any design criteria show that convergence rate is very fast regardless of constraint types and configuration of truss structures. And the optimal configuration of the truss structures obtained in this study is almost the identical one from other results. The total weight couldbe decreased by 5.4% - 15.4% when optimal configuration was accomplished, though there is some difference.

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