• 방사성폐기물학회지
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• 제12권4호
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• pp.345-361
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• 2014

처분시설의 개발과정에서 안전성평가 문서관리는 체계적인 품질활동이 수반되어야 하며, 본 논문에서는 중 저준위 방사성폐기물 처분시설의 건설단계에 보완된 부지특성, 지하수특성, 최종설계내용 및 모니터링 입력데이터를 포함하여 Safety Case를 위한 안전성평가 입력데이터 품질보증체계를 설명하였다. 현장/실험결과데이터, 실제 설계데이터 및 적치계획, 콘크리트 물성데이터, 지하수, 기상, 지진에 대한 현장 모니터링데이터, 생태계데이터 및 핵종재고량데이터를 입력데이터 결정원칙에 따라 선별하고 안전성평가에 적용할 수 있는 데이터 관리체계를 확보하였다. 이는 향후 처분시설 안전성평가의 데이터 불확실성 저감 및 안전성 증진에 기여할 것으로 판단된다.

• 제어로봇시스템학회논문지
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• 제8권7호
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• pp.556-562
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• 2002

This paper studies the identification of a combustion model, which is used to design a linear controller of a steam generation quantity and harmful exhaust gases of a Refuse Incineration Plant(RIP). Even though the RIP has strong nonlinearities and complexities, it is identified as a MIMO parametric ARX model from experimental input-output data sets. Unknown model parameters are decided from experimental input-output data sets, using system identification algorithm based on Instrumental Variables(IV) method. It is shown that the identified model well approximates the input-output combustion characteristics.

• Journal of Mechanical Science and Technology
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• 제18권7호
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• pp.1107-1120
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• 2004

This study proposes a new scheme for the sampled-data representation of nonlinear systems with time-delayed multi-input. The proposed scheme is based on the Taylor-series expansion and zero-order hold assumption. The mathematical structure of a new discretization scheme is explored. On the basis of this structure, the sampled-data representation of nonlinear systems including time-delay is derived. The new scheme is applied to nonlinear systems with two inputs and then the delayed multi-input general equation is derived. The resulting time-discretization provides a finite-dimensional representation of nonlinear control systems with time-delay enabling existing controller design techniques to be applied to them. In order to evaluate the tracking performance of the proposed scheme, an algorithm is tested for some of the examples including maneuvering of an automobile and a 2-DOF mechanical system.

• 융합정보논문지
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• 제9권1호
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• pp.136-141
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• 2019

본 논문은 Cortex-M4 기반 소형 데이터수집, 융합 및 고속 전송시스템 대해서 기술하였다. 본 논문에서 설계한 데이터 수집 및 전송 시스템은 산업현장에서 발생되는 각종 데이터를 실시간 수집하여 서버 컴퓨터로 직접 자료를 전송할 수 있으며 간단한 필드-프레임을 개발해서 데이터 전송 속도를 향상 시켰다. 또한 각종 센서에서 수집된 여러종류의 데이터를 데이터 수집장치로 쉽게 전달할 수 있도록 디지털 신호 입력부와 아나로그 신호 입력부, 디지털 신호 출력부와 아나로그 신호 출력부가 별도로 구성되도록 설계하였다. 이러한 소형 데이터수집 시스템은 실시간으로 각종 데이터의 수집 및 고속 데이터 전송이 실시되어 산업현장에서 정밀한 제품들의 품질향상에 크게 기여하리라 판단된다.

• International Journal of Control, Automation, and Systems
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• 제6권4호
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• pp.506-514
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• 2008

This paper presents an intelligent model; named as free model, approach for a closed-loop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for such dynamic system, which is complex, difficult to know, or unknown, with input and output data only, and it does not require the detail knowledge of mathematical model for the system. In the free model, the data used has incremental forms using backward difference operators. The parameters of the free model can be obtained by simultaneous perturbation stochastic approximation (SPSA) method. A linear transformation is introduced to convert the free model into a linear model so that a conventional linear controller design method can be applied. In this paper, the feasibility of the proposed method is demonstrated in a one-machine infinite bus power system. The linear quadratic regulator (LQR) method is applied to the free model to design a PSS for the system, and compared with the conventional PSS. The proposed SPSA-based LQR controller is robust in different loading conditions and system failures such as the outage of a major transmission line or a three phase to ground fault which causes the change of the system structure.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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• pp.575-578
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• 2008

현재 대부분의 자동차 부품 제조업체에서는 자동차 부품개발 및 구매, 생산 관리 등에 어려움을 격고 있으며, 자동차 부품의 신규 개발 및 설계 변경 시 신규 등록 및 이력 관리에 어려움이 있다. 이에 따라 여러 가지 부품에 대한 자동화된 이력관리와 부품의 데이터베이스 구축에 대한 필요성을 절실히 느끼고 있는 상항이다. 이에 본 논문은 자동차 제조 부품관련 데이터 검색과 실시간 생산통합관리 시스템 개발을 위한 설계를 목적으로 한다. 설계 데이터 변경에 대한 자재변경과정을 입력함으로써 자동적으로 데이터 갱신이 이루어질 수 있도록 하였고, 부품에 대한 품명, 품번을 입력하면 관련 부품 이력정보의 통합관리가 가능하도록 하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.824-826
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• 1999

In this paper, we design an Fuzzy-Neural Networks(FNN) by means of divisions of fuzzy input space with multi-input variables. Fuzzy input space of Yamakawa's FNN is divided by each separated input variable, but that of the proposed FNN is divided by mutually combined input variables. The membership functions of the proposed FNN use both triangular and gaussian membership types. The parameters such as apexes of membership functions, learning rates, momentum coefficients, weighting value, and slope are adjusted using genetic algorithms. Also, an aggregate objective function(performance index) with weighting value is utilized to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model, we use the data of sewage treatment process.

• ETRI Journal
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• 제7권3호
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• pp.3-11
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• 1985

CAD tools that has the common data base system are important to design for the VLSI. Each CAD tools are used to design for the VLSI, and to reduce the complexity, man-error, design-time for the IC design. CIF, a layout description language, was proved to be effective in this point. In this article, the program which translates pattern generation data for the mask tooling into CIF data was described. This program has its character in the unification of physical design data base for a design automated CAD system. The output format of CIF data is fitting to the input of the kgraph that is graphic layout editor, and the name of each layer and the output file is extended as a user's option.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.724-730
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• 1993

Most of clustering methods usually employ the center of a cluster to assign the input data into a cluster. When the shape of a cluster could not be easily represented by the center of cluster, however, it is difficult to assign input data into a proper cluster using previous methods. In this paper, to overcome such a difficulty, a cluster is to be represented as a collection of several subclusters. And membership functions are used to represent how much input data belong to subclusters. Then the position of each subcluster is adoptively corrected by use of a competitive learning neural network. To show the validity of the proposed method, a numerical example is illustrated, where FMMC(Fuzzy Min-Max Clustering) algorithm is compared with the proposed method.

• Steel and Composite Structures
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• 제29권1호
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• pp.67-75
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• 2018

High performance concrete (HPC) depends on various parameters such as the type of cement, aggregate and water reducer amount. Generally, the ready concrete company in various regions according to the requirements and costs, mix design of concrete as well as type of cement, aggregates, and, amount of other components will vary as a result of moment decisions or dynamic optimization, though the ideal conditions will be more applicable for the design of mix proportion of concrete. This study aimed to apply dynamic optimization for mix design of HPC; consequently, the objective function, decision variables, input and output variables and constraints are defined and also the proposed dynamic optimization model is validated by experimental results. Results indicate that dynamic optimization objective function can be defined in such a way that the compressive strength or performance of all constraints is simultaneously examined, so changing any of the variables at each step of the process input and output data changes the dynamic of the process which makes concrete mix design formidable.