• 한국시뮬레이션학회논문지
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• 제23권4호
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• pp.75-83
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• 2014

함정 전투체계는 각종 센서 및 무장을 포함한 플랫폼들을 효율적으로 통제하기 위해서 운용자의 개입을 필요로 한다. 이러한 문제점을 극복하기 위해서 다중 에이전트 기반의 M&S(Modeling and Simulation) 기술이 도입되어 다양한 연구가 이루어져 왔다. 하지만 다중 플랫폼간의 높은 임무 복잡도를 필요로 하는 대 잠수함 전투에 있어서는 M&S 시스템을 통한 전술에 관한 연구가 거의 진행되지 않은 실정이다. 본 연구에서는 다중 에이전트 기반의 M&S 기술을 대 잠수함 전투에 적용하였다. 이를 위해 함정, 잠수함, 헬기 등 다수의 플랫폼을 에이전트 기반으로 모델링함으로써 HVU(High Value Unit) 호위 임무를 위한 모델 구조를 제시하였다. 이를 통해 다양한 전장상황에 대한 다양한 전술 효과도를 분석할 수 있었다. 그 결과 조건별 최적의 전술적 효과를 확인할 수 있었다. 국방 관계자들이 본 연구에서 제안한 방법론을 도입하여 상세한 모델 변수값들을 대입한다면 보다 실질적인 대 잠수함 전술 효과도를 분석해 낼 수 있을 것으로 기대된다.

• Earthquakes and Structures
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• 제7권3호
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• pp.271-294
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• 2014

In recent years, along with the advances made in performance-based design optimization, the need for fast calculation of response parameters in dynamic analysis procedures has become an important issue. The main problem in this field is the extremely high computational demand of time-history analyses which may convert the solution algorithm to illogical ones. Two simplifying strategies have shown to be very effective in tackling this problem; first, simplified nonlinear modeling investigating minimum level of structural modeling sophistication, second, wavelet analysis of earthquake records decreasing the number of acceleration points involved in time-history loading. In this paper, we try to develop an efficient framework, using both strategies, to solve the performance-based multi-objective optimal design problem considering the initial cost and the seismic damage cost of steel moment-frame structures. The non-dominated sorting genetic algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. The constraints of the optimization problem are considered in accordance with Federal Emergency Management Agency (FEMA) recommended design specifications. The results from numerical application of the proposed framework demonstrate the capabilities of the framework in solving the present multi-objective optimization problem.

• Smart Structures and Systems
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• 제15권1호
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• pp.99-117
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• 2015

The Stonecutters Bridge (SCB) in Hong Kong is the third-longest cable-stayed bridge in the world with a main span stretching 1,018 m between two 298 m high single-leg tapering composite towers. A Wind and Structural Health Monitoring System (WASHMS) is being implemented on SCB by the Highways Department of The Hong Kong SAR Government, and the SCB-WASHMS is composed of more than 1,300 sensors in 15 types. In order to establish a linkage between structural health monitoring and maintenance management, a Structural Health Rating System (SHRS) with relevant rating tools and indices is devised. On the basis of a 3D space frame finite element model (FEM) of SCB and model updating, this paper presents the development of an SHR-oriented 3D multi-scale FEM for the purpose of load-resistance analysis and damage evaluation in structural element level, including modeling, refinement and validation of the multi-scale FEM. The refined 3D structural segments at deck and towers are established in critical segment positions corresponding to maximum cable forces. The components in the critical segment region are modeled as a full 3D FEM and fitted into the 3D space frame FEM. The boundary conditions between beam and shell elements are performed conforming to equivalent stiffness, effective mass and compatibility of deformation. The 3D multi-scale FEM is verified by the in-situ measured dynamic characteristics and static response. A good agreement between the FEM and measurement results indicates that the 3D multi-scale FEM is precise and efficient for WASHMS and SHRS of SCB. In addition, stress distribution and concentration of the critical segments in the 3D multi-scale FEM under temperature loads, static wind loads and equivalent seismic loads are investigated. Stress concentration elements under equivalent seismic loads exist in the anchor zone in steel/concrete beam and the anchor plate edge in steel anchor box of the towers.

• 한국음향학회지
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• 제25권7호
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• pp.319-324
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• 2006

본 논문에서는 화자독립 가변어휘 핵심어 검출기의 성능을 개선하기 위하여 두 가지의 새로운 비핵심어 모델링 방법을 제안한다. 첫째는 K-means 알고리즘 기반 monophone 군집화 방법을 개선하기 위해 monophone을 state단위로 결정트리를 기반으로 군집화하여 비핵심어를 모델링하는 방법이다. 둘째는 single state multiple mixture 방법을 개선하기 위해 음절단위 multi-state multiple mixture 방법으로 모델링하는 방법이다. 실험에서 ETRI 표준 한국어 공통음성 단어 DB를 이용하여 트라이폰 모델을 훈련하였고, 훈련에 사용하지 않은 음성데이터를 이용하여 핵심어 검출closed 테스트를 수행하였다. 그리고 사무실 환경에서 4명의 화자가 각각 100문장씩 발성한 400문장의 음성데이터를 이용하여 100단어 핵심어 검출 open 테스트를 수행하였다. 실험 결과 결정트리기반 상태 군집화 방법이 기존의 K-means 알고리듬 기반 monophone clustering 방법보다 핵심어 검출 성능이 28%/29%(closed/open test) 향상되었다 그리고 음절단위 multi-state multiple mixture 방법이 비핵심어 전체를 single state 모델로 구성하는 방법보다 핵심어 검출 성능이 22%/2%(closed/open test) 향상됨으로써 본 논문에서 제안한 두 가지 알고리듬이 우수한 결과를 나타내었다

• International Journal of Contents
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• 제13권4호
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• pp.23-28
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• 2017

Of the total economic loss caused by disasters, 40% are due to floods and floods have a severe impact on human health and life. So, it is important to monitor the water level of a river and to issue a flood warning during unfavorable circumstances. In this paper, we propose a modified error function to improve a hydrological modeling using a multi-layer perceptron (MLP) neural network. When MLP's are trained to minimize the conventional mean-squared error function, the prediction performance is poor because MLP's are highly tunned to training data. Our goal is achieved by preventing overspecialization to training data, which is the main reason for performance degradation for rare or test data. Based on the modified error function, an MLP is trained to predict the water level with rainfall data at upper reaches. Through simulations to predict the water level of Nakdong River near a UNESCO World Heritage Site "Hahoe Village," we verified that the prediction performance of MLP with the modified error function is superior to that with the conventional mean-squared error function, especially maximum error of 40.85cm vs. 55.51cm.

• 한국도로학회논문집
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• 제19권5호
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• pp.1-11
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• 2017

PURPOSES : This study is aimed at development of a stochastic pavement deterioration forecasting model using National Highway Pavement Condition Index (NHPCI) to support infrastructure asset management. Using this model, the deterioration process regarding life expectancy, deterioration speed change, and reliability were estimated. METHODS : Eight years of Long-Term Pavement Performance (LTPP) data fused with traffic loads (Equivalent Single Axle Loads; ESAL) and structural capacity (Structural Number of Pavement; SNP) were used for the deterioration modeling. As an ideal stochastic model for asset management, Bayesian Markov multi-state exponential hazard model was introduced. RESULTS:The interval of NHPCI was empirically distributed from 8 to 2, and the estimation functions of individual condition indices (crack, rutting, and IRI) in conjunction with the NHPCI index were suggested. The derived deterioration curve shows that life expectancies for the preventive maintenance level was 8.34 years. The general life expectancy was 12.77 years and located in the statistical interval of 11.10-15.58 years at a 95.5% reliability level. CONCLUSIONS : This study originates and contributes to suggesting a simple way to develop a pavement deterioration model using the total condition index that considers road user satisfaction. A definition for level of service system and the corresponding life expectancies are useful for building long-term maintenance plan, especially in Life Cycle Cost Analysis (LCCA) work.

• 한국실천공학교육학회논문지
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• 제4권2호
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• pp.129-135
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• 2012

전기자동차들을 수학적으로 모델링하고 시뮬레이션 하는 많은 방법들이 있다. 전기 자동차의 각 요소들은 다른 물리적인 배경과 모델들을 갖고 있으나, 하나의 수학적 모델로 구성하기란 어려우므로 다양한 물리적 모델이 요구된다. 시뮬레이션이 목적에 따라 수행할 시뮬레이션에 관한 디양한 레벨들이 있다. 즉, 개념 체계 레벨, 회로 레벨, 더 상세한 요소레벨로 구성된다. 본 연구에서는 전기 자동차에서 여러 가지 요소들에 대한 다양한 물리적 모델들과, 다중레벨 시뮬레이션에 관하여 연구하고자 한다. 또한, 본 시뮬레이션 방법은 공학교육에 학습효과를 향상 시킬 수 있다.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2003년도 추계학술발표대회 논문집
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• pp.71-74
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• 2003

The cell modeling homogenization method to derive the constitutive equation considering the microstructures of the fiber reinforced composites has been previously developed for composites with simple microstructures such as 2D plane composites and 3D rectangular shaped composites. Here, the method has been further extended for 3D circular braided composites, utilizing B-spline curves to properly describe the more complex geometry of 3D braided composites. For verification purposes, the method has been applied for orthotropic elastic properties of the 3D circular braided glass fiber reinforced composite, in particular for the tensile property. Prepregs of the specimen have been fabricated using the 3D braiding machine through RTM (resin transfer molding) with epoxy as a matrix. Experimentally measured uniaxial tensile properties agreed well with predicted values obtained fer two volume fractions.

• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.369-382
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• 2014

This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of end-product, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the re-implementation of the model for future development and case studies.

• Journal of the Korean Data and Information Science Society
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• 제26권1호
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• pp.123-139
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• 2015

이 연구의 목적은 통계청에서 실시한 2011년도 사교육비 조사의 자료를 이용하여 학생의 학업성취도, 가정의 사회경제적 지위, 보완 사교육비, 일반 사교육비 사이의 효과를 구조방정식 모형을 이용하여 분석하고, 이러한 구조적 효과가 성, 지역, 학교급 집단 별로 유의한 차이가 있는지 다중집단 구조방정식을 활용하여 확인하는 것이다. 연구 모형의 분석 결과를 바탕으로, 사회경제적 지위가 높을수록 사교육에 대한 지출이 커지는 경향이 있지만 학업성취도에는 영향을 미치지 않는다는 결론을 얻을 수 있다. 또한 성, 지역, 학교 집단 모두 학생의 학업성취도, 부모의 사회경제적 지위, 사교육비의 집단 간 구조적 효과의 차이가 있다는 결론을 얻을 수 있다. 이 연구를 통해 우리나라 교육 현상 중에서 학업에 대한 열의가 사교육으로 많이 집중되어 나타나는 사교육 문제에 있어 학생의 학업성취도, 부모의 사회경제적 지위와 사교육비가 연관되어 있을 것이라는 사회적 통념을 2011년 사교육비 조사자료를 이용하여 판단할 수 있을 것이라고 기대한다.