• 제목/요약/키워드: maturity model

검색결과 517건 처리시간 0.029초

서체의 보급 과정과 디자인 상품으로서의 수명 주기에 관한 연구 - 굴림체의 역사와 현황을 중심으로 - (A Study on a Propagation and Lifecycle of Typefaces as a Design Product - Focused on History and Status of Gulim-Chae -)

  • 한석환;김보연
    • 커뮤니케이션디자인학연구
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    • 제62권
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    • pp.302-311
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    • 2018
  • 서체는 폰트라는 파일로 디지털화 되고, 2005년 디자인보호법 개정으로 지적 재산으로 인정받으면서 사람들에게 디자인 상품으로 인정받고 있다. 서체는 사용자들에게 전달되면서 디자인상품으로 발전과정을 거치게 된다. 본 연구는 지적재산으로 인정받은 서체가 디자인상품으로서 가치가 있다고 판단하여 안세윤의 브랜드가치체계 모델을 바탕으로 디자인 상품으로서의 서체 사용체계에 대한 모델을 만들었다. 서체의 사용체계 모델을 바탕으로 서체의 디자인 상품으로서의 수명주기를 도입기, 성장기, 성숙기, 쇠퇴기로 정의하고 분석하였다. 본 연구의 연구 대상으로 국내에서 디지털 폰트 파일로 가장 널리 사용되고 지금은 쇠퇴기를 맞이하고 있는 굴림체를 선정하여 서체의 수명 주기를 알아보고 굴림체에 대한 사용자 (디자이너, 디자이너가 아닌 사용지)의 인식에 대해서 알아보았다. 본 연구를 통해 향후 서체 개발, 라이센스 시스템 구축, 서체 브랜드 전략 수립에 있어 도움이 될 것으로 기대한다.

공공시설물관리 역량 진단 모델 개발 (Development of A Model for Diagnosing Management Capabilities of Public Facility)

  • 성유경;유위성
    • 한국건축시공학회지
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    • 제20권6호
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    • pp.555-566
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    • 2020
  • 최근 국내 공공시설물의 노후화가 가속화되며 기존의 사후 유지관리 방식은 총체적이고 선제적인 시설자산관리의 개념으로 변화하고 있다. 이에 향후 공공시설물관리는 안전성 제고와 유지관리뿐만 아니라, 시설에 대한 가치 평가, 생애주기 관리 계획, 재원 마련 등의 확장된 역량 확보가 강조되고 있다. 본 연구는 국제 기준을 기반으로 공공시설물관리를 위한 역량 진단 모델을 개발하고, 관리 주체별 환경을 고려해 대응할 수 있도록 역량의 성숙도 개선 자료를 제공한다. 개발된 역량 진단 모델은 공공시설물의 10개 관리 역량, 113개의 역량 진단 요인, 관리 역량의 계량화 지수, 관리 활동을 정의하는 성숙도 수준으로 제시되었다. 향후 10년간 지속적으로 공공시설물관리의 중요성이 부각되는 상황에서 본 고에서 제시한 시설자산관리지수는 공공시설물을 운영하는 관리기관들의 강점과 약점을 파악하고 역량 향상을 위한 방향을 수립하는데 유용하게 활용될 것으로 기대된다.

Graded approach to determine the frequency and difficulty of safety culture attributes: The F-D matrix

  • Ahn, Jeeyea;Min, Byung Joo;Lee, Seung Jun
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.2067-2076
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    • 2022
  • The importance of safety culture has been emphasized to achieve a high level of safety. In this light, a systematic method to more properly deal with safety culture is necessary. Here, a decision-making tool that can apply a graded approach to the analysis of safety culture is proposed, called the F-D matrix, which determines the frequency and the difficulty of safety culture attributes recently defined by the IAEA. A hierarchical model of difficulty contributors was developed as a scoring standard, and its elements were weighted via expert evaluation using the analytic hierarchy process. The frequency of the attributes was derived by analyzing reported events from nuclear power plants in the Republic of Korea. Period-by-period comparisons with the F-D matrix can show trends in the change of the maturity level of an organization's safety culture and help to evaluate the effectiveness of previously implemented measures. In the evaluating the difficulty of the attributes in the recently developed harmonized safety culture model, the difficulties of Trending, Benchmarking, Resilience, and Documentation and Procedures were found to be relatively high, while the difficulties of Conflicts are Resolved, Ownership, Collaboration, and Respect is Evident were found to be relatively low. A case study was conducted with an analysis period of 10 years to attempt to reflect the many changes in safety culture that have been made following the Fukushima accident in March 2011. As a result of comparing two periods following the Fukushima accident, the overall frequency decreased by about 40%, providing evidence for the effects of the various improvements and measures taken following the increased emphasis on safety culture. The proposed F-D matrix provides a new analytical perspective and enables an in-depth analysis of safety culture.

Evaluation of interest rate-linked DLSs

  • Kim, Manduk;Song, Seongjoo
    • Communications for Statistical Applications and Methods
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    • 제29권1호
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    • pp.85-101
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    • 2022
  • Derivative-linked securities (DLS) is a type of derivatives that offer an agreed return when the underlying asset price moves within a specified range by the maturity date. The underlying assets of DLS are diverse such as interest rates, exchange rates, crude oil, or gold. A German 10-year bond rate-linked DLS and a USD-GBP CMS rate-linked DLS have recently become a social issue in Korea due to a huge loss to investors. In this regard, this paper accounts for the payoff structure of these products and evaluates their prices and fair coupon rates as well as risk measures such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR). We would like to examine how risky these products were and whether or not their coupon rates were appropriate. We use Hull-White Model as the stochastic model for the underlying assets and Monte Carlo (MC) methods to obtain numerical results. The no-arbitrage prices of the German 10-year bond rate-linked DLS and the USD-GBP CMS rate-linked DLS at the center of the social issue turned out to be 0.9662% and 0.9355% of the original investment, respectively. Considering that Korea government bond rate for 2018 is about 2%, these values are quite low. The fair coupon rates that make the prices of DLS equal to the original investment are computed as 4.76% for the German 10-year bond rate-linked DLS and 7% for the USD-GBP CMS rate-linked DLS. Their actual coupon rates were 1.4% and 3.5%. The 95% VaR and TVaR of the loss for German 10-year bond rate-linked DLS are 37.30% and 64.45%, and those of the loss for USD-GBP CMS rate-linked DLS are 73.98% and 87.43% of the initial investment. Summing up the numerical results obtained, we could see that the DLS products of our interest were indeed quite unfavorable to individual investors.

The Prediction Ability of Genomic Selection in the Wheat Core Collection

  • Yuna Kang;Changsoo Kim
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.235-235
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    • 2022
  • Genome selection is a promising tool for plant and animal breeding, which uses genome-wide molecular marker data to capture large and small effect quantitative trait loci and predict the genetic value of selection candidates. Genomic selection has been shown previously to have higher prediction accuracies than conventional marker-assisted selection (MAS) for quantitative traits. In this study, the prediction accuracy of 10 agricultural traits in the wheat core group with 567 points was compared. We used a cross-validation approach to train and validate prediction accuracy to evaluate the effects of training population size and training model.As for the prediction accuracy according to the model, the prediction accuracy of 0.4 or more was evaluated except for the SVN model among the 6 models (GBLUP, LASSO, BayseA, RKHS, SVN, RF) used in most all traits. For traits such as days to heading and days to maturity, the prediction accuracy was very high, over 0.8. As for the prediction accuracy according to the training group, the prediction accuracy increased as the number of training groups increased in all traits. It was confirmed that the prediction accuracy was different in the training population according to the genetic composition regardless of the number. All training models were verified through 5-fold cross-validation. To verify the prediction ability of the training population of the wheat core collection, we compared the actual phenotype and genomic estimated breeding value using 35 breeding population. In fact, out of 10 individuals with the fastest days to heading, 5 individuals were selected through genomic selection, and 6 individuals were selected through genomic selection out of the 10 individuals with the slowest days to heading. Therefore, we confirmed the possibility of selecting individuals according to traits with only the genotype for a shorter period of time through genomic selection.

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$^{14}CO_2$가스에 단기간 노출된 벼의 $^{14}C$ 오염 예측 (Predicting of the $^{14}C$ Activity in Rice Plants Exposed to $^{14}CO_2$ Gas for a Short Period of Time)

  • 전인;임광묵;금동권;최용호;한문희
    • Journal of Radiation Protection and Research
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    • 제33권4호
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    • pp.135-141
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    • 2008
  • 본 논문은 벼에 $^{14}CO_2$ 가스를 단기간 동안 직접 노출시켜 시간대 별 $^{14}C$의 전이 현상에 대한 동적 예측 모델과 동 모델의 타당성을 조사하기 위해 수행된 벼의 $^{14}CO_2$ 피폭 실험에 대해 기술하였다. 본 모델에서 작물은 몸체와 이삭(쌀알)의 두 격실로 구분되었고, 식물의 광합성과 연관된 매개변수의 함수로 표현되는 5개의 격실 간 탄소이동을 고려하였다. 모델예측을 통해 작물의 $^{14}C$ 방사능 오염에 대한 $^{14}CO_2$, 누출 시기 및 지속시간, 매개변수의 영향을 분석하였다. $^{14}CO_2$ 누출 지속시간이 길어지면 본 모델은 비 방사능 모델 적용 영역으로 수렴되었다. 작물의 $^{14}C$ 오염은 광합성이 가장 왕성한 개화기부터 수확기 사이에 작물이 $^{14}CO_2$에 노출되었을 때 가장 큰 것으로 예측되었다. $^{14}CO_2$에 대한 벼 노출 실험결과와 모델예측결과의 비교로부터 본 모델은 벼의 $^{14}C$ 흡수 예측 모델로 충분히 활용할 수 있음을 확인하였다.

지하 수위가 다른 조건에서 콩의 초장과 경태 모델링 (Modeling Growth of Canopy Heights and Stem Diameters in Soybeans at Different Groundwater Level)

  • 최진영;김동현;권순홍;최원식;김종순
    • 한국산업융합학회 논문집
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    • 제20권5호
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    • pp.395-404
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    • 2017
  • Cultivating soybeans in rice paddy field reduces labor costs and increases the yield. Soybeans, however, are highly susceptible to excessive soil water in paddy field. Controlled drainage system can adjust groundwater level (GWL) and control soil moisture content, resulting in improvement soil environments for optimum crop growth. The objective of this study was to fit the soybean growth data (canopy height and stem diameter) using Gompertz model and Logistic model at different GWL and validate those models. The soybean, Daewon cultivar, was grown on the lysimeters controlled GWL (20cm and 40cm). The soil textures were silt loam and sandy loam. The canopy height and stem diameter were measured from the 20th days after seeding until harvest. The Gompertz and Logistic models were fitted with the growth data and each growth rate and maximum growth value was estimated. At the canopy height, the $R_2$ and RMSE were 0.99 and 1.58 in Gompertz model and 0.99 and 1.33 in Logistic model, respectively. The large discrepancy was shown in full maturity stage (R8), where plants have shed substantial amount of leaves. Regardless of soil texture, the maximum growth values at 40cm GWL were greater than the value at 20cm GWL. The growth rates were larger at silt loam. At the stem diameter, the $R_2$ and RMSE were 0.96 and 0.27 in Gompertz model and 0.96 and 0.26 in Logistic model, respectively. Unlike the canopy height, the stem diameter in R8 stage didn't decrease significantly. At both GWLs, the maximum growth values and the growth rates at silt loam were all larger than the values at sandy loam. In conclusion, Gompertz model and Logistic model both well fit the canopy heights and stem diameters of soybeans. These growth models can provide invaluable information for the development of precision water management system.

엔터프라이즈 아키텍처 지향 모델 개발: 연계와 통합 관점에서 본 엔터프라이즈 현재와 미래 아키텍처 사상 (Toward Developing An Enterprise Architecture Orientation Model: Mapping the Present and Future Enterprise Architecture from the Alignment and Integration Perspective)

  • 손정순;전성현
    • 경영정보학연구
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    • 제12권2호
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    • pp.1-23
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    • 2010
  • 엔터프라이즈 정보화를 추진하는데 있어서 가장 심각한 문제 중 하나는 서로 연계 통합되지 않은 사일로(Silo) 시스템 문제이다. 정보전략계획(Information Strategy Planning)은 비즈니스에 필요한 개별시스템 기능성 도출에 국한되어 오히려 이러한 사일로 문제를 가중시키고 있다. 본 연구는 엔터프라이즈 사일로 문제가 엔터프라이즈 제반 요소들이 가지는 관계에 대한 총체적 시각, 곧 '아키텍처적 시각'이 부재하기 때문이라고 보고, 이러한 엔터프라이즈 요소간 관계를 정의하고 체계화할 수 있는 '엔터프라이즈 아키텍처 지향 모델'을 제안한다. 이를 위해 본 연구는 엔터프라이즈 제반 구성요소들 상호간에 수직적, 수평적 관계성을 부여하고 엔터프라이즈가 이들 관계에 있어서 거치는 진화의 단계를 설정한다. 엔터프라이즈 아키텍처 지향 모델에서 수직적 관계는 Kaplan과 Norton의 연구로부터 도출된 성과, 역량, 전략이라는 세 요소가 조직 상하간에 전략적 관리적 측면에서 '연계(Alignment)'되어야 함을 의미한다. 수평적 관계는 Ross 등이 통합 대상으로 다룬 정보기술, 데이터/프로세스, 비즈니스 컴포넌트 요소들이 수평 조직간에 기능적 실행적 측면에서 '통합(Integration)'되어야 함을 강조한다. 본 모델은 엔터프라이즈의 현재와 미래 아키텍처를 사상하는 개념공간으로서 엔터프라이즈의 현재 모습을 파악하고 엔터프라이즈가 지향하는 미래 모습을 도출하며 현재에서 미래로의 이행을 인도하는 개념적 틀로서 작용하게 된다. 끝으로 본 모델의 적용 사례를 들고 모델의 적용이 각 엔터프라이즈가 지향하는 엔터프라이즈 모습에 따라 어떻게 달라질 수 있는지를 논의한다.

Nonlinear mixed models for characterization of growth trajectory of New Zealand rabbits raised in tropical climate

  • de Sousa, Vanusa Castro;Biagiotti, Daniel;Sarmento, Jose Lindenberg Rocha;Sena, Luciano Silva;Barroso, Priscila Alves;Barjud, Sued Felipe Lacerda;de Sousa Almeida, Marisa Karen;da Silva Santos, Natanael Pereira
    • Animal Bioscience
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    • 제35권5호
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    • pp.648-658
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    • 2022
  • Objective: The identification of nonlinear mixed models that describe the growth trajectory of New Zealand rabbits was performed based on weight records and carcass measures obtained using ultrasonography. Methods: Phenotypic records of body weight (BW) and loin eye area (LEA) were collected from 66 animals raised in a didactic-productive module of cuniculture located in the southern Piaui state, Brazil. The following nonlinear models were tested considering fixed parameters: Brody, Gompertz, Logistic, Richards, Meloun 1, modified Michaelis-Menten, Santana, and von Bertalanffy. The coefficient of determination (R2), mean squared error, percentage of convergence of each model (%C), mean absolute deviation of residuals, Akaike information criterion (AIC), and Bayesian information criterion (BIC) were used to determine the best model. The model that best described the growth trajectory for each trait was also used under the context of mixed models, considering two parameters that admit biological interpretation (A and k) with random effects. Results: The von Bertalanffy model was the best fitting model for BW according to the highest value of R2 (0.98) and lowest values of AIC (6,675.30) and BIC (6,691.90). For LEA, the Logistic model was the most appropriate due to the results of R2 (0.52), AIC (783.90), and BIC (798.40) obtained using this model. The absolute growth rates estimated using the von Bertalanffy and Logistic models for BW and LEA were 21.51g/d and 3.16 cm2, respectively. The relative growth rates at the inflection point were 0.028 for BW (von Bertalanffy) and 0.014 for LEA (Logistic). Conclusion: The von Bertalanffy and Logistic models with random effect at the asymptotic weight are recommended for analysis of ponderal and carcass growth trajectories in New Zealand rabbits. The inclusion of random effects in the asymptotic weight and maturity rate improves the quality of fit in comparison to fixed models.

간호학생이 지각한 간호사 이미지가 전문직 사회화에 미치는 영향 (The Effects of Image of Nurses on Professional Socialization Among Nursing Students)

  • 오덕자;최철자;권보은;박연환
    • 한국간호교육학회지
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    • 제11권1호
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    • pp.64-72
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    • 2005
  • Purpose: To exam image of nurses and factors on professional socialization of nursing students. Method: A descriptive study was performed and data was analysed with SPSS-PC Win(version 11.0). Image of nurses was measured by traditional-personal image and professional-social image(20 items, 5-Likert). Professional socialization was measured by revised Professional Socialization Scale(52 items, 5-Likert). A total of 135 students were participated. Result: Professional-social image showed stronger effect rather than traditional-personal image on Professional socialization. Commitment and Decision making were potent factors on traditional-personal image, and Commitment, Maturity, Independence and Decision making were statistically significant to explain professional-social image. Factors influenced positively professional socialization were job satisfaction and professional-social image. Conclusion: The results of this study suggest that focus of nursing education have to shift in values and personality traits to professional-oriented value system. Results indicate the importance of encouraging professional socialization and cultivation of positive, personal self-esteem for nursing students through establishing nursing identity. Also, clinical role model was trained effectively.

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