• 제목/요약/키워드: Typical Model

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우선순위제약 DEA모델을 이용한 서비스조직의 성과평가 (The Performance Evaluation on Service Organization using the Priority-Constrained DEA Model)

  • 서상범;박명섭
    • 경영과학
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    • 제23권2호
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    • pp.93-107
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    • 2006
  • This paper attempts to improve the typical DEA model that is often used as a performance evaluation method for service firms. The after-sales service system in a Korean electronic company is chosen as a sample case. The performance evaluation method currently practiced in the firm was reviewed and some critical issues of the current method were discussed. DEA model would be considered a solution for solving those Issues. However, typical DEA models has various drawbacks in determining the weights over evaluation criteria. Proposed is the priority-constrained DEA model that accommodates the strategic Importance of each evaluation criterion. The results of the proposed model are compared with those of typical DEA models. It is shown that the priority-constrained DEA model is superior to the others in terms of evaluation quality.

Seismic fragility of a typical bridge using extrapolated experimental damage limit states

  • Liu, Yang;Paolacci, Fabrizio;Lu, Da-Gang
    • Earthquakes and Structures
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    • 제13권6호
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    • pp.599-611
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    • 2017
  • This paper improves seismic fragility of a typical steel-concrete composite bridge with the deck-to-pier connection joint configuration at the concrete crossbeam (CCB). Based on the quasi-static test on a typical steel-concrete composite bridge model under the SEQBRI project, the damage states for both of the critical components, the CCB and the pier, are identified. The finite element model is developed, and calibrated using the experimental data to model the damage states of the CCB and the bridge pier as observed from the experiment of the test specimen. Then the component fragility curves for both of the CCB and the pier are derived and combined to develop the system fragility curves of the bridge. The uncertainty associated with the mean system fragility has been discussed and quantified. The study reveals that the CCB is more vulnerable than the pier for certain damage states and the typical steel-concrete composite bridge with CCB exhibits desirable seismic performance.

표준기상데이터 작성을 위한 국내 기후특성을 고려한 일사량 예측 모델 적합성 평가 (Applicability of the Solar Irradiation Model in Preparation of Typical Weather Data Considering Domestic Climate Conditions)

  • 심지수;송두삼
    • 설비공학논문집
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    • 제28권12호
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    • pp.467-476
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    • 2016
  • As the energy saving issues become one of the important global agenda, the building simulation method is generally used to predict the inside energy usage to establish the power-saving strategies. To foretell an accurate energy usage of a building, proper and typical weather data are needed. For this reason, typical weather data are fundamental in building energy simulations and among the meteorological factors, the solar irradiation is the most important element. Therefore, preparing solar irradiation is a basic factor. However, there are few places where the horizontal solar radiation in domestic weather stations can be measured, so the prediction of the solar radiation is needed to arrive at typical weather data. In this paper, four solar radiation prediction models were analyzed in terms of their applicability for domestic weather conditions. A total of 12 regions were analyzed to compare the differences of solar irradiation between measurements and the prediction results. The applicability of the solar irradiation prediction model for a certain region was determined by the comparisons. The results were that the Zhang and Huang model showed the highest accuracy (Rad 0.87~0.80) in most of the analyzed regions. The Kasten model which utilizes a simple regression equation exhibited the second-highest accuracy. The Angstrom-Prescott model is easily used, also by employing a plain regression equation Lastly, the Winslow model which is known for predicting global horizontal solar irradiation at any climate regions uses a daily integration equation and showed a low accuracy regarding the domestic climate conditions in Korea.

멀티스팬 연속공정 시스템의 장력 특성에 관한 실험적 연구

  • 신기현;권순오;천성민
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.917-920
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    • 1995
  • A mathematical model describing the relationship between longitudinal tension and tangential velocity of web/roller in a multi-span web transport system has been developed. An experiment was carried out for typical conditions to validate the mathematical model for tension behavior in a multispan system. A two-span prototype prototype web transport system with winder and unwinder was manufactured for the experiment. By comparing simulation and experimental results, the mathematical model for tension and velocity in a multi-span web transport system is confirmed to be valid for typical conditions. Tension transfer phenomenon was also confirmed though the simulation as well as experimentation.

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Modeling of Typical Microbial Cell Growth in Batch Culture

  • Jianqiang Lin;Lee, Sang-Mok;Lee, Ho-Joon;Koo, Yoon-Mo
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권5호
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    • pp.382-385
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    • 2000
  • A mathematical model was developed, based on the time dependent changes of the specific growth rate, for prediction of the typical microbial cell growth in batch cultures. This model could predict both the lag growth phase and the stationary growth phase of batch cultures, and it was tested with the batch growth of Trichoderma reesei and Lactobacillus delbrueckii.

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국내 주요도시의 표준기상자료를 이용한 시간당 표면온도 산출 및 분석 (Analysis and Calculation of Hourly Surface Temperature Based on Typical Meterorological Data for Major Cities in Korea)

  • 이관호;조현철
    • 한국태양에너지학회 논문집
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    • 제32권3호
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    • pp.123-128
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    • 2012
  • Computer simulation of buildings and solar energy systems is being used increasingly in energy assessments and design. The purpose of our work is to predict the surface temperature on inclined surfaces based on ISO-TRY typical weather data. To reach this goal, three studies were performed. They consisted of quantifying the accuracy of various well-known three models. The first type of models calculated diffuse horizontal irradiations from global ones and the second type models computed global irradiations on inclined planes from diffuse and global components on a horizontal surface. The third type of model calculated long-wave radiation and surface temperature from ISO-TRY typical weather data. The proposed model can provide an alternative to building designers in estimating the surface temperature and solar irradiation on inclined surfaces where only the typical meteorological data are available.

System Identification 기법을 이용한 이송중인 웹의 사행 거동에 대한 모델링 (Modeling of Lateral Dynamics of a Moving Web by Using the System Identification Technique)

  • 권순오;김상훈;신기현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.624-627
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    • 2002
  • Experimental study showed that the existing mathematical model doesn't fully describe the lateral motion of a moving web fur different operating conditions. So, a physically interpretable model of lateral motion of a moving web in a typical web guidance system, operated at Konkuk Univ., was developed using the system identification technique. A well-known Least Square Method based on ARX model was used for the system identification. Lateral displacement of the web was measured at the exit of each span by infrared sensors. The model obtained from identifying a linear time-invariant system for a typical operating condition yields an improved prediction capability of the lateral dynamics of the moving web compared to other mathematical models proposed in literature.

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Multiclass SVM Model with Order Information

  • Ahn, Hyun-Chul;Kim, Kyoung-Jae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권4호
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    • pp.331-334
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    • 2006
  • Original Support Vsctor Machines (SVMs) by Vapnik were used for binary classification problems. Some researchers have tried to extend original SVM to multiclass classification. However, their studies have only focused on classifying samples into nominal categories. This study proposes a novel multiclass SVM model in order to handle ordinal multiple classes. Our suggested model may use less classifiers but predict more accurately because it utilizes additional hidden information, the order of the classes. To validate our model, we apply it to the real-world bond rating case. In this study, we compare the results of the model to those of statistical and typical machine learning techniques, and another multi class SVM algorithm. The result shows that proposed model may improve classification performance in comparison to other typical multiclass classification algorithms.

DEA-AR/AHP 결합모형을 이용한 지방의료원의 효율성 분석 (Analysis of the Efficiency of the Regional Public Hospitals using DEA-AR/AHP Combined Model)

  • 양동현
    • 보건행정학회지
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    • 제20권4호
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    • pp.74-96
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    • 2010
  • The purpose of this empirical study is to evaluate efficiency of the regional public hospitals, using DEA(Data Envelopment Analysis). to do this, we design a DEA-AR/AHP Hybrid model to evaluate efficiency of 34 Regional Public Hospitals. the proposed model is developed by adding Acceptance Region(AR). using analytical hierarchy process(AHP). this model is compared with those of typical DEA models. Financial data used in this study were obtained from Database of the Korea Association Regional Public Hospital and analyzed using DEA model. As a result of analysis, This study found that the DEA-AR/AHP Hybrid model was superior to those typical DEA models in determining the priority among efficient hospitals. the result of this study can provide helpful information to evaluate the efficiency of public hospitals for efficient operational management, to develop more precise measurement for the priority of the efficient hospitals.

NUCLEAR DATA UNCERTAINTY PROPAGATION FOR A TYPICAL PWR FUEL ASSEMBLY WITH BURNUP

  • Rochman, D.;Sciolla, C.M.
    • Nuclear Engineering and Technology
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    • 제46권3호
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    • pp.353-362
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    • 2014
  • The effects of nuclear data uncertainties are studied on a typical PWR fuel assembly model in the framework of the OECD Nuclear Energy Agency UAM (Uncertainty Analysis in Modeling) expert working group. The "Fast Total Monte Carlo" method is applied on a model for the Monte Carlo transport and burnup code SERPENT. Uncertainties on $k_{\infty}$, reaction rates, two-group cross sections, inventory and local pin power density during burnup are obtained, due to transport cross sections for the actinides and fission products, fission yields and thermal scattering data.