• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1992년도 수공학연구발표회논문집
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• pp.411-418
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• 1992

The purpose of this study is to develop dynamic-stochastic models that can forecast the inflow into reservoir during low/drought periods and flood periods. For the formulation of the models, the discrete transfer function is utilized to construct the deterministic characteristics, and the ARIMA model is utilized to construct the stochastic characteristics of residuals. The stochastic variations and structures of time series on hydrological data are examined by employing the auto/cross covariance function and auto/cross correlation function. Also, general modeling processes and forecasting method are used the model building methods of Box and Jenkins. For the verifications and applications of the developed models, the Chungju multi-purpose reservoir which is located in the South Han river systems is selected. Input data required are the current and past reservoir inflow and Yungchun water levels. In order to transform the water level at Yungchon into streamflows, the water level-streamflows rating curves at low/drought periods and flood periods are estimated. The models are calibrated with the flood periods of 1988 and 1989 and hourly data for 1990 flood are analyzed. Also, for the low/drought periods, daily data of 1988 and 1989 are calibrated, and daily data for 1989 are analyzed.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.157-169
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• 2022

Job love is an emerging phenomenon, which is the utmost approach to fulfilling employees' and organizations' mutual interests, especially performance. The current study aims to define and extend the existing proposed construct of "loving one's job" as job love. It provides a novel theoretical multi-level framework of job love, contextual factors, and performance principled on the attraction-selection-attrition framework and social exchange theory through an integrated approach. This study collected cross-sectional data through a questionnaire from 332 nurses across eight tertiary hospitals in Khyber Pakhtunkhwa, Pakistan. The findings are based on the structural equation modeling technique (SEM) at multi-levels. The results show significant relationships between job love, contextual factors, and performance at the individual and organization levels. There are some insignificant relationships between the variables at the cross-level. Job love plays a key role for both employees and organizations. It facilitates the individuals in the recruitment process to select the job they love, be a good fit, and stay committed to that particular job and organization. This phenomenon allows people to pursue their common interests. Job love assists firms in developing human resource capacity utilization plans that satisfy the needed requirements.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권8호
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• pp.697-707
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• 2007

임베디드 소프트웨어는 탑재될 하드웨어 아키텍처에 매우 의존적이기 때문에 플랫폼 특성을 고려한 소프트웨어 설계가 이루어져야 한다. 본 연구에서는 MPSoC(Multi Processor System On Chip)용 플랫폼에 탑재될 임베디드 소프트웨어의 PIM(Platform Independent Model)을 PSM(Platform Specific Model)에 매핑하기 위한 기법을 제안하고, 매핑 결과에 대한 시뮬레이션을 통해 매핑 기법의 유효성을 검사하였다. 제안하는 방법은 UML(Unified Modeling Language) 기반의 객체지향 모델로부터 태스크를 도출하여 이 기종의 하드웨어 컴포넌트로 구성된 MPSoC 플랫폼에 할당하기 위한 것으로써, 할당의 정확성 및 신속성과 소프트웨어 병렬성을 극대화 할 수 있는 장점을 제공한다.

• 대한간호학회지
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• 제45권6호
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• pp.857-867
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• 2015

Purpose: The purpose of this study was to investigate individual and organizational level of cardiovascular disease (CVD) risk factors associated with CVD risk in Korean blue-collar workers working in small sized companies. Methods: Self-report questionnaires and blood sampling for lipid and glucose were collected from 492 workers in 31 small sized companies in Korea. Multilevel modeling was conducted to estimate effects of related factors at the individual and organizational level. Results: Multilevel regression analysis showed that workers in the workplace having a cafeteria had 1.81 times higher CVD risk after adjusting for factors at the individual level (p =.022). The explanatory power of variables related to organizational level variances in CVD risk was 17.1%. Conclusion: The results of this study indicate that differences in the CVD risk were related to organizational factors. It is necessary to consider not only individual factors but also organizational factors when planning a CVD risk reduction program. The factors caused by having cafeteria in the workplace can be reduced by improvement in the CVD-related risk environment, therefore an organizational-level intervention approach should be available to reduce CVD risk of workers in small sized companies in Korea.

• Fibers and Polymers
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• 제4권2호
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• pp.77-83
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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 com-posites, 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 com-posite, 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 for two volume fractions.

• 한국전자통신학회논문지
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• 제10권8호
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• pp.935-944
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• 2015

본 논문에서는 가변속 풍력발전시스템의 동적 모델링과 운전제어 시뮬레이션을 수행하였다. 풍속모델, 풍력터빈과 PMSG 모델, MPPT 및 피치 운전제어 모델 등을 구현하였다. 그리고 상용화된 5MW급 풍력터빈 데이터들을 참고하여 실제적인 시스템과 유사한 출력계수 및 가상 운전 조건으로 시뮬레이션 하였다. 시뮬레이션 결과 정격속도 12[m/s]까지 최대출력계수를 유지하면서 최대전력추종을 확인하였다. 또한 12[m/s]이상의 고속 풍속에서는 동적으로 피치 각도를 제어하면서, 정격상태의 안정적인 출력을 유지하였다.

• Smart Structures and Systems
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• 제16권1호
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• pp.1-26
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• 2015

Minimizing construction cost and reducing seismic damage are two conflicting objectives in the design of any new structure. In the present work, we try to develop a framework in order to solve the optimum performance-based design problem considering the construction cost and the seismic damage of steel moment-frame structures. The Park-Ang damage index is selected as the seismic damage measure because it is one of the most realistic measures of structural damage. The non-dominated sorting genetic algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. To improve the time efficiency of the proposed framework, three simplifying strategies are adopted: first, simplified nonlinear modeling investigating minimum level of structural modeling sophistication; second, fitness approximation decreasing the number of fitness function evaluations; third, wavelet decomposition of earthquake record decreasing the number of acceleration points involved in time-history loading. The constraints of the optimization problem are considered in accordance with Federal Emergency Management Agency's (FEMA) recommended seismic design specifications. The results from numerical application of the proposed framework demonstrate the efficiency of the framework in solving the present multi-objective optimization problem.

• Ocean Systems Engineering
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• 제14권1호
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• pp.17-52
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• 2024

In this paper, the authors explore the modeling and control of a point absorber wave energy converter, which is connected to the electric grid via a power converter that is based on a linear permanent magnet synchronous generator (LPMSG). The device utilizes a buoyant mechanism to convert the energy of ocean waves into electrical power, and the LPMSG-based power converter is utilized to change the variable frequency and voltage output from the wave energy converter to a fixed frequency and voltage suitable for the electric grid. The article concentrates on the creation of a predictive control system that regulates the speed, voltage, and current of the LPMSG, and the modeling of the system to simulate its behavior and optimize its design. The predictive model control is created to guarantee maximum energy output and stable grid connection, using Matlab Simulink to validate the proposed strategy, including control side generator and predictive current grid-side converter loops.

• 한국콘텐츠학회논문지
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• 제17권12호
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• pp.600-616
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• 2017

본 연구는 대학생 393명을 대상으로 강점인식이 진로결정수준에 영향을 미치는 과정에서 강점활용의 매개효과를 구조방정식모형을 사용하여 검증하였다. 다음으로는 검증된 매개모형이 Dykman의 목표지향성 유형(인정추구지향성, 성장추구지향성)에 따라 유의한 차이가 존재하는지 확인하기 위해 다집단 분석을 실시하였다. 본 연구의 결과는 다음과 같다. 우선 구조방정식 모형을 이용하여 매개효과를 확인한 결과, 강점 인식이 진로결정수준에 영향을 미치는 과정에서 강점활용의 부분 매개효과가 검증되었다. 다음으로 최종모형에서 목표지향성 유형에 따른 차이가 존재하는지 확인한 결과, 최종모형의 경로 중 강점인식이 강점활용에 미치는 경로에서 목표지향성 유형에 따른 유의한 차이가 나타났다. 즉, 강점인식이 강점활용에 미치는 영향이 인정추구집단 보다 성장추구집단에서 통계적으로 더 유의하고 강하게 정적 영향을 미치는 것으로 나타났다. 이와 같은 결과를 바탕으로 본 연구의 의의, 진로상담에서의 시사점, 연구의 제한점 및 후속 연구에 대하여 논의하였다.

• 한국항공우주학회지
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• 제42권2호
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• pp.108-118
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• 2014

근사모델을 이용한 최적설계 문제에서는 설계변수의 수가 증가함에 따라 근사모델의 정확도를 확보하기 위한 계산 횟수가 급격히 증가한다. 이를 해결하기 위해 저정확도 모델을 바탕으로 고정확도 모델로 보정하는 Variable-Fidelity Modeling을 이용하였다. 본 논문에서 Variable-Fidelity Model로는 계층적 크리깅 모델을 이용하였으며, 다목적 유전자 알고리즘과 결합하여 최적화 프레임워크를 제안하였다. 이 방법의 유용성을 검증하기 위하여 천음속 영역에 대한 익형 최적 설계를 하였다. 설계변수로는 PARSEC의 파라메터를 이용하였으며, 서로 다른 격자수를 가지는 경우 그리고 서로 다른 정확도를 가지는 해석자를 이용한 경우에 관하여 해석을 수행하였다. 검증을 위해 단일 정확도 모델에 대한 최적화 결과와 비교하였다. 모든 경우에 관하여 파레토 라인이 유사하게 나오는 것을 확인 할 수 있었으며, 계산시간은 계층적 크리깅 모델을 이용한 Variable-Fidelity Model이 단일 정확도 모델에 비하여 훨씬 줄어들었다. 이를 바탕으로 본 논문의 방법이 단일 정확도를 가지는 모델에 대한 최적화 방법과 유사한 정확도를 가지며 더욱 효율적임을 확인 할 수 있다.