• 디지털산업정보학회논문지
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• 제7권4호
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• pp.169-181
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• 2011

The cooperation between universities and IT industry in producing IT manpower of quality is urgently called for to create the effective labor pool of supply and finally balance its supply and demand. Korean Government launched a program where industrial demand-driven curriculums are developed and applied to universities. This paper proposes a design technique of meta-modeling demand-driven curriculums and courses, based on the 3D software space and the software development process. This technique is proven to result in extensibility, flexibility and quality improvement in software design. Therefore, we expect that the proposed technique makes curriculums and courses possible to be continuously improved in many aspects.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집C
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• pp.339-344
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• 2001

In recent engineering, the designer has become more and more dependent on the computer simulations such as FEM (Finite Element Method) and BEM (Boundary Element Method). In order to optimize such implicit models more efficiently and reliably, the meta-modeling technique has been developed for solving such a complex problems combined with the DACE (Design and Analysis of Computer Experiments). It is widely used for exploring the engineer's design space and for building meta-models in order to facilitate an effective solution of multi-objective and multi-disciplinary optimization problems. Optimization of a train suspension is performed according to the minimization of forty-six responses that represent ten ride comforts, twelve derailment quotients, twelve unloading ratios, and twelve stabilities by using the Kriging meta-model of a train suspension. After each Kriging meta-model is constructed, multi-objective optimal solutions are achieved by using a nonlinear programming method called SQP (Sequential Quadratic Programming).

• 한국기계가공학회지
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• 제20권5호
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• pp.85-95
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• 2021

Structure design sensitivity was evaluated using the orthogonal array experimental method for passive-type deck support frame (DSF) developed for float-over installation of the offshore plant. Moreover, approximation characteristics were also reviewed based on various meta-models. The minimum weight design of the DSF is significantly important for securing both maneuvering performance and buoyancy of a ship equipped with the DSF and guaranteeing structural design safety. The performance strength of the passive type DSF was evaluated through structure analysis based on the finite element method. The thickness of main structure members was applied to design factors, and output responses were considered structure weight and strength performances. Quantitative effects on the output responses for each design factor were evaluated using the orthogonal array experimental method and analysis of variance. The optimum design case was also identified from the orthogonal array experiment results. Various meta-models, such as Chebyshev orthogonal polynomial, Kriging, response surface method, and radial basis function-based neural network, were generated from the orthogonal array experiment results. The results of the orthogonal array experiment were validated using the meta-modeling results. It was found that the radial basis function-based neural network among the meta-models could approximate the design space of the passive type DSF with the highest accuracy.

• 한국항공우주학회지
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• 제33권4호
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• pp.7-16
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• 2005

항공 설계분야에 있어서 최적설계는 방법론적인 요소와 방법론을 수행하는 소프트웨어인 설계프레임워크가 연구되어 왔다. 이러한 설계프레임워크는 효율적인 시스템으로 인식되어 많은 산업체 문제를 해결하여 왔지만 실제 산업체문제의 복잡성은 단일 최적화수준에서 다분야에 걸친 복잡한 비정형화된 최적설계 문제의 해결을 요구하고 있으므로 한계성을 지니고 있다. 따라서 본 연구에서는 복잡한 설계문제인 다분야통합최적설계문제를 위해서 유연성이 높은 새로운 설계문제 모델링 기반의 설계 프레임워크를 제안 하였다. 본 연구에서 제안하는 설계문제 모델링 방법은 기존의 설계프레임워크들이 절차적으로 생성하는 스크립트 기반의 모델링 기법이 아닌 설계문제 도메인의 형태에 맞추어 최적화문제를 정의하는 시스템이다. 또한 시스템의 구조는 클라이언트 서버 구조가 아닌 P2P 구조의 시스템으로 개발되었으며 헬기 설계문제와 인공심장 문제를 적용하여 개발된 시스템의 유연성과 효율성을 보였다.

• 한국IT서비스학회지
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• 제13권1호
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• pp.71-86
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• 2014

This study investigated knowledge browsing behavior as the factor affecting the increase of knowledge sharing intention. To conduct this study in the specific context of knowledge seeking and sharing behavior of virtual community members, literature on knowledge seeking behavior, meta-knowledge, and knowledge sharing intention was reviewed. Structural Equation Modeling was conducted to analyze survey data to test the research model of this study. The result showed that knowledge browsing have positive effects on creating of virtual community members' subject knowledge and meta-knowledge, which, in turn, affected positively their knowledge sharing intention. One of the main contributions of this study is that knowledge seeking behavior influence one's knowledge sharing intention in a virtual community. Organization managers should consider knowledge seeking behavior as not only a self-interested, consuming activity, but also a productive one through its function of constructing subject knowledge and meta-knowledge.

• 대한음성학회지:말소리
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• 제55권
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• pp.77-91
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• 2005

In this paper, we propose an XML based meta-data specification for industrial speech databases. Building speech databases is very time-consuming and expensive. Recently, by the government supports, huge amount of speech corpus has been collected as speech databases. However, the formats and meta-data for speech databases are different depending on the constructing institutions. In order to advance the reusability and portability of speech databases, a standard representation scheme should be adopted by all speech database construction institutions. ETRI proposed a XML based annotation scheme [51 for speech databases, but the scheme has too simple and flat modeling structure, and may cause duplicated information. In order to overcome such disadvantages in this previous scheme, we first define the speech database more formally and then identify object appearing in speech databases. We then design the data model for speech databases in an object-oriented way. Based on the designed data model, we develop the meta-data specification for industrial speech databases.

• 한국게임학회 논문지
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• 제20권4호
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• pp.47-56
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• 2020

본 연구는 프라스카가 제시한 파이디아와 루두스의 개념을 통해 오픈 월드의 중첩적 플레이 구성 형식을 고찰한다. 구조화된 시뮬레이션적 체계로 구성된 오픈 월드는, 비선형적 이벤트와 선형적 퀘스트를 통해 광활한 지리적 공간을 중첩적으로 구성한다. 이때 파이디아적 상호작용 과정을 통해 공간을 탐험하며 고유의 시퀀스를 축적한 플레이어는, 완결적 스크립트를 기반하는 루두스적 퀘스트의 결과와 충돌한다. 대안으로 제시된 메타시뮬레이션은 메타 모델의 편집 및 생성 도구로 운용되며, 대안적이고 확장된 의미의 게임 플레이 활용을 제시한다.

• 한국군사과학기술학회지
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• 제7권2호
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• pp.65-73
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• 2004

In general, weapon system design/configuration data consist of system structure information which is linked to Part information, documents and drawings. For configuration management, version and revision control are necessary and access control of users to information should be managed for information security. Configuration data of weapon systems have various kinds of different meta data which are contained in the structure as well as attributes of parts and documents information. If neutral types of meta data models be used for building configuration management system, they can be applied to many different kinds of weapon systems with a little customization. In this paper, five meta data models are supposed and implementation results of them by using CBD(component based design) methodology are presented.

• 한국국방경영분석학회지
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• 제33권1호
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• pp.59-74
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• 2007

컴퓨터 시뮬레이션 모델은 일반적으로 복잡할 뿐더러 운용 시 많은 시간이 소요된다. 따라서 분석의 편의를 위해 좀 더 간단한 메타모델을 수립할 필요가 있다. 본 논문에서는 워게임 모델 JANUS를 사용하여 전차 전투 상황을 묘사하고 이에 대한 메타모델을 수립하였다. 메타모델을 수립하기 위해, 데이터 수집방법으로는 8가지의 실험계획법을, 모델링 방법으로는 2차 반응표면분석과 인공신경망을 고려하였다. 수립된 메타모델의 상대적 성능은 예측치의 평균제곱오차를 기준으로 비교하였다. 본 논문에서 고려한 전투상황에 대해서는 대체적으로 2차 반응표면 모형이 인공신경망 모형보다 더 높은 정확도를 보였으며, 실험계획법으로는 직교배열이나 최대최소거리 기준을 적용한 라틴 하이퍼큐브 계획법이 우수한 성능을 보였다.

• 한국기계가공학회지
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• 제18권3호
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• pp.74-81
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• 2019

Herein, we performed a comparative study on approximate multi-objective design optimization, to realize a structural design to improve the weight and vibration performances of the knuckle - a car suspension component - considering various load conditions and vibration characteristics. In the approximate multi-objective optimization process, a regression meta-model was generated using the response surfaces method (RSM), while Kriging and back-propagation neural network (BPN) methods were applied for interpolation meta-modeling. The Pareto solutions, multi-objective optimal solutions, were derived using the non-dominated sorting genetic algorithm (NSGA-II). In terms of the knuckle design considered in this study, the characteristics and influence of the meta-model on multi-objective optimization were reviewed through a comparison of the approximate optimization results with the meta-models and the actual optimization.