• Title/Summary/Keyword: model performance criteria

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Modeling of sediment and nutrients loadings from the Soyang Dam upstream watershed with SWAT (SWAT 모형을 이용한 소양강댐 유역의 비점오염 모델링)

  • Kim, Chul-Gyum;Kim, Nam-Won;Lee, Jeong-Eun
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2005.10a
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    • pp.288-293
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    • 2005
  • In this study, SWAT model was applied to the Soyang Dam upstream watershed in order to evaluate the model applicability for estimating runoff, sediment, and nutrients loadings from the watershed. By trial and error method, the model parameters related with runoff, sediment, nitrogen and phosphorus were calibrated step by step. Then the simulated runoff, sediment, and nutrients loadings by the model were compared with the observed data measured at the Soyang Dam, the outlet of the watershed. And several statistical criteria were calculated to evaluate the model performance. From the comparison and statistical criteria, good agreement between simulated and observed stream flows was found. For sediment and nutrients, it was not reliable to quantitatively model the observed values, but the model could simulate the trend with reasonable accuracy. Hence, it was concluded that the model can be applied for the long-term non-point modeling in a large watershed.

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Applicability study on urban flooding risk criteria estimation algorithm using cross-validation and SVM (교차검증과 SVM을 이용한 도시침수 위험기준 추정 알고리즘 적용성 검토)

  • Lee, Hanseung;Cho, Jaewoong;Kang, Hoseon;Hwang, Jeonggeun
    • Journal of Korea Water Resources Association
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    • v.52 no.12
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    • pp.963-973
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    • 2019
  • This study reviews a urban flooding risk criteria estimation model to predict risk criteria in areas where flood risk criteria are not precalculated by using watershed characteristic data and limit rainfall based on damage history. The risk criteria estimation model was designed using Support Vector Machine, one of the machine learning algorithms. The learning data consisted of regional limit rainfall and watershed characteristic. The learning data were applied to the SVM algorithm after normalization. We calculated the mean absolute error and standard deviation using Leave-One-Out and K-fold cross-validation algorithms and evaluated the performance of the model. In Leave-One-Out, models with small standard deviation were selected as the optimal model, and models with less folds were selected in the K-fold. The average accuracy of the selected models by rainfall duration is over 80%, suggesting that SVM can be used to estimate flooding risk criteria.

A Study on the Previous Evaluation Model for Safety Performance of Construction Companies (건설회사의 사전 안전성 평가모델에 관한 연구)

  • 손창백;홍성호
    • Journal of the Korean Society of Safety
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    • v.18 no.2
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    • pp.73-78
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    • 2003
  • In order to improve the safety performance oi construction projects, effective and corporative safety management program between head office and job site must be implemented. And its performance must be measured and analyzed for the identification of the problems in the safety management area. This study proposes a previous evaluation model of safety performance for the large construction firm in order to enhance their safety level. The fundamental data for proposed model is based on the past research(Son 2002), which is structured of evaluation criteria. weighted factor. statistical evaluation formula. The model would help the firm management in identifying the weak areas of safety performance in terms of the degree performing certain safety tasks. It is expected that the model could contribute to achieving the "zero accident" level.ot; level.

Study on the Evaluation of Skill Level for Aircraft Body Assembly Workers (항공기 기체 조립 작업자 숙련도 평가 연구)

  • Hyoung Geun Kwon;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.535-546
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    • 2024
  • This research aims to develop a model to objectively and quantitatively measure the skill level of aircraft body assembly workers. Because aircraft body assembly is predominantly a manual process, skills management is a key factor of manufacturing competitiveness. Currently, skills management relies on the subjective judgment of supervisors, which lacks objectivity and reliability. As a remedy, this study proposed a systematic skill management model based on objective and quantitative evaluation criteria. By considering prior research, we developed an evaluation model that takes into account both expertise and versatility of a worker. The model selected five major tasks required for aircraft body assembly and established evaluation criteria considering the difficulty and maturity of each task. We then conducted a pilot evaluation with over 200 workers in four SMEs to validate the practicality and effectiveness of the model. Consequently, we identified and addressed the limitations of the existing evaluation method, subdivided the skill levels based on the performance capabilities of each task, and proposed a career growth path. The developed evaluation model offers critical data for executives and managers to determine work assignments, education, training, performance incentives, and wages. It is expected to enhance the attraction of new talent and systematize skills management in aviation manufacturing in the future.

A Study on Establishing Finance Performance Evaluation Model in Each Clinical Department - Factors Influencing Operating Profit of Hospitals - (진료과별 재무성과 측정모형 구축 연구 -병원의 의료이익에 영향을 미치는 요소를 중심으로 -)

  • Lee, Youn-Tae;Ryu, Kie-Hyun
    • Korea Journal of Hospital Management
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    • v.4 no.2
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    • pp.162-191
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    • 1999
  • This study was conducted to establish finance performance evaluation model for physicians in each clinical department, by using factors which determines financial outcome(performance) in each clinical department The ultimate aim of study is to develop effective performance-based pay system for physicians. The system, by motivating physicians, should increase their productivity. To do so, it is critical to establish finance performance evaluation model to achieve final goal of this study. 232 private hospitals were chosen from 693 hospitals which were subject to hospital survey by the Korea Institute of Health Services Management and their revenue and expense-related data during 1997 were collected. By adopting multiple regression method, the study shows that the evaluation model for each clinical department was statistically significant. The study suggest the effective performance-based pay system based on financial performance of each clinical department. The pay system includes the level of compensation, the way of how to allocate profits to each department, and criteria whether the compensation should provide or not. In conclusion, the study has following implications. First, the study suggest finance performance evaluation model for each clinical department Second, the study suggest guidelines and plans to establish qualitative measure of financial performance in each clinical department. Third, the study suggest that adopting performance-based pay for physicians could be impetus to achieve organizational goal by motivating them with fair compensation.

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

  • Seo, Sang-Beom;Park, Myung-Sub
    • Korean Management Science Review
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    • v.23 no.2
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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.

An Extended Model Evaluation Method under Uncertainty in Hydrologic Modeling

  • Lee, Giha;Youn, Sangkuk;Kim, Yeonsu
    • Journal of the Korean GEO-environmental Society
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    • v.16 no.5
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    • pp.13-25
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    • 2015
  • This paper proposes an extended model evaluation method that considers not only the model performance but also the model structure and parameter uncertainties in hydrologic modeling. A simple reservoir model (SFM) and distributed kinematic wave models (KWMSS1 and KWMSS2 using topography from 250-m, 500-m, and 1-km digital elevation models) were developed and assessed by three evaluative criteria for model performance, model structural stability, and parameter identifiability. All the models provided acceptable performance in terms of a global response, but the simpler SFM and KWMSS1 could not accurately represent the local behaviors of hydrographs. Moreover, SFM and KWMSS1 were structurally unstable; their performance was sensitive to the applied objective functions. On the other hand, the most sophisticated model, KWMSS2, performed well, satisfying both global and local behaviors. KMSS2 also showed good structural stability, reproducing hydrographs regardless of the applied objective functions; however, superior parameter identifiability was not guaranteed. A number of parameter sets could result in indistinguishable hydrographs. This result indicates that while making hydrologic models complex increases its performance accuracy and reduces its structural uncertainty, the model is likely to suffer from parameter uncertainty.

Multivariate Gamma-Poisson Model and Parameter Estimation for Polytomous Data : Application to Defective Pixels of LCD (다가자료에 적합한 다변수 감마-포아송 모델과 파라미터 추정방법 : LCD 화소불량 응용)

  • Ha, Jung-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.34 no.1
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    • pp.42-51
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    • 2011
  • Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying manufactured products due to flexibility of marketing. In this paper, I introduce two multivariate Gamma-Poisson(MGP) models and estimation methods of the parameters in the models, which are able to handle polytomous data. The models and estimators are verified on defective pixels of LCD manufacturing. Experimental results show that both the independent MGP model and the multinomial MGP model have excellent performance in terms of mean absolute deviation and the choice of method depends on the purpose of use.

Development of Concrete Material Model for Nonlinear Analysis of Nuclear Containment Building (원전 격납건물 비선형 해석을 위할 콘크리트 재료모델 개발)

  • 이홍표;전영선;서정문;신재철
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.312-319
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    • 2004
  • This paper is mai y focused to develop new concrete material model such as ultimate failure surface in compression-compression region, hardening rule and cracking criteria which are basically used in the nonlinear finite element analysis of nuclear prestressed concrete containment building. From the Kepri's experimental results, failure surface of the concrete based on the elasto-plastic material model is modified and new cracking criteria is proposed. Nonlinear FE analysis program using a new material model is implemented to analysis plane concrete. Finally, numerical simulation to compare the performance of the new material model with experimental results is employed. The numerical results by the proposed model in this study agree very well with the experimental data.

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Review of Calculational Model for the Performance of CANDU-Type Nuclear Development and Parametric Study on the Fuel Performance (CANDU형 핵연료거동에 관한 계산모형의 검토 및 거동특성에 관한 변수적 연구)

  • Man Sung Yim;Un Chul Lee;Ho Chun Suk
    • Nuclear Engineering and Technology
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    • v.15 no.1
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    • pp.57-69
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    • 1983
  • The LWR fuel performance analysis computer code, FRAPCON-1, are evaluated to investigate the performance of CANDU fuel elements loaded in Wolsung-1 reactor. The FRAPCON-1 models of neutron flux depression in fuel and of fuel-to-cladding heat transfer are modified, and the validity of fission gas release model for CANDU fuel is evaluated. And the heavy water properties are provided in calculating the heat transfer coefficient between cladding and coolant. By using the modified code, FRAPCON-1-CSK, the sensitivity studies are carried out for Wolsung-1 fuel element design parameters. The performance analysis is also performed for Wolsung-l fuel elements. The calculated results are discussed in terms of. LWR fuel design criteria because of unavailability of CANDU fuel design criteria.

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