• 물과 미래
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• 제25권1호
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• pp.83-92
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• 1992

다목적 저수지의 운영을 위해서 여러 가지 대안의 운영율로부터 최상의 안을 선택할 때에는 시스템에 주어진 주요 목적에 부가하여 세부적인 평가 기준들도 고려하여야 한다. 특히 평가 단위가 서로 다른 여러개의 평가기준을 고려할 때에는 경험이나 발견법 만으로는 최상의 안을 선택하기가 어렵게 된다. 다기준 의사 분석기법을 이요하면 여러대안들을 각 평가 기준에 다라 체계적으로 비교하여 대안들의 우선 순위를 결정함으로써 최상의 운영율을 선택할 수 있다. 본 연구에서는 다목적 저수지 시스템의 운영율 평가를 위한 평가 기준을 규명하여 제시하였으며, 다기준 의사분석 기법을 이용하여 충주 다목적 저수지 시스템에 대한 4개의 운영율을 9개의 평가 기준에 따라 평가하였다. 적용 결과 대규모 다목적 저수지 시스템의 운여오가 같이 많은 평가기준을 고려하여 여러 가지 대안의 운영율을 평가할 때에는 이러한 기법이 매우 효율적임을 알 수 있다.

• 융합정보논문지
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• 제9권7호
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• pp.33-40
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• 2019

최근 항공 관련 산업이 활성화됨에 따라 복합재 해석 소프트웨어의 범용화가 요구되고 있다. 지금까지는 복합재 해석에 상용 소프트웨어를 주로 사용해 왔으나 고가의 가격과 제한적인 기능으로 인해 사용에 어려움을 겪어왔다. 이런 문제를 해결하기 위해 해석 절차를 모두 온라인화하고 범용화한 면내 및 코너 부외 파손 자동 해석 소프트웨어가 최근에 개발되었다. 그러나 이들은 다중의 파손 기준으로 동시에 해석할 수 없는 단점이 있었다. 본 논문에서는 CUDA 코어를 장착한 GPU에서만 동작하는 병렬 처리 플랫폼을 이용하여 다중의 파손 기준에 대한 해석을 동시에 처리하면서 처리 속도를 획기적으로 향상시키는 방법을 제안한다. 방대한 구조물 데이터에 대해서 해석 처리 속도를 실험하였을 때 만족할 만한 결과를 얻었다.

• International Journal of Costume and Fashion
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• 제12권1호
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• pp.29-48
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• 2012

The purpose of this study was to examine the relationship between consumer spatial behavior and consumer characteristics based on trade area selection criteria 469 female consumers who lived in the two new towns near Seoul, Bundang and Ilsan, participated in the study by completing questionnaires. Data were analyzed by using cluster analysis, ANOVA, Duncan's multiple range test, chi-square analysis, etc. The findings of the empirical research were as follows: 1. Five groups were identified by cluster analysis based on trade area selection criteria of clothing price-oriented group, time convenience-oriented group, shopping convenience-oriented group, variety/entertainment-oriented group, and passive shopping group. 2. Each group differed in spatial behavior such as clothing shopping area, the visiting frequency, and spatial movement type. 3. Each group showed differences in fashion involvement and demographic characteristics(age, marital status, education, occupation and social status).

• 산업공학
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• 제5권2호
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• pp.3-17
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• 1992

In this study, an integrated economic analysis model to analyze the new telecommunication services is developed. This model considers both the technological and managerial aspests altogether with respect to the profit and public benefit criteria. To encounter the various dynamically changing environments and evaluation criteria, multiple criteria decision making (MCDM)techniques are employed. The model consists of three stages; The first stage surveys related formal or informal data, generates analysis alternatives, and performs acceptabillty test in view of marketing. The second stage generates executive alternatives for each acceptable analysis alternative and checks the executionability in view of telecommunication technologies. The third stage performs the final integrated economic analysis including the profitability analysis. This study offers a basis for the future development of decision support system or expert system on the economic analysis of the new telecommunication services.

• 한국지역사회생활과학회지
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• 제25권3호
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• pp.373-382
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• 2014

This study was explored the relationship of fit-related factors and, clothing evaluation criteria to clothing satisfaction. A total of 247 completed responses were obtained from a convenient sample of female students in their twenties. The statistical analysis methods included factor analysis, an ANOVA, and a multiple regression analysis. First, clothing evaluation criteria included practicality, product trait, and symbolism. Second, a comparison of clothing evaluation criteria and clothing satisfaction in groups divided by fit-related factors showed significant differences. In particular, the fat body type group showed higher level of the product trait and the thin body type group showed lower level of clothing satisfaction. The high activity group showed higher levels of clothing evaluation criteria and lower level of clothing satisfaction. Third, body type perception (-) and activity importance (-), fit-related factors, and practicality (+), clothing evaluation criterion had significant effects on clothing satisfaction. Therefore, These results suggest that fashion firms should make efficient use of fit-related factors and clothing evaluation criteria to enhance consumers' clothing satisfaction and to stimulate their purchase intention toward fashion goods.

• 대한방사선기술학회지:방사선기술과학
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• 제46권4호
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• pp.303-313
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• 2023

This study aimed to investigate the relevance of cardiovascular disease risk factors AI and AIP, divided into three groups, among 300 individuals who underwent health checkups at the hospital. Various variables such as Age, Sex, BMI, WC, TC, TG, HDL-C, LDL-C, FBS, HbA1C, SBP, DBP, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were analyzed using statistical methods including frequency analysis, cross-tabulation, one-way ANOVA, Pearson's correlation analysis, and multiple linear regression analysis. The cross-analysis based on cardiovascular disease risk criteria revealed that men and individuals in their 50s had higher cardiovascular disease risk based on AI and AIP. Significant differences were observed in TG, TC, HDL-C, LDL-C, SBP, DBP, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) according to AI criteria. For the AIP criteria, TG, TC, HDL-C, FBS, HbA1C, HR, AI (TC/HDL-C), and AIP (log(TG/HDL-C)) were identified as cardiovascular disease risk factors. FBS and HbA1c showed the highest positive correlation In the correlation analysis, followed by TC and LDL-C. The lowest positive correlation was observed between LDL-C and DBP. In terms of negative correlation, HDL-C and AI had the highest negative correlation, while LDL-C and TG showed the lowest negative correlation. Multiple regression analysis indicated that the AI and AIP risk criteria had explanatory powers of 73.6% and 72.5%, respectively. HDL-C had the greatest negative effect on the AI risk criterion, while TG had the most significant influence on the AIP risk criterion. In conclusion, while other serological variables are important, managing HDL-C and TG levels may help reduce the risk of cardiovascular disease.

• 한국군사과학기술학회지
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• 제12권5호
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• pp.557-562
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• 2009

Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

• 콘크리트학회논문집
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• 제16권3호
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• pp.345-356
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• 2004

다양한 압축 응력 상태에서의 콘크리트의 거동 특성을 나타내기 위한 소성 모델을 개발하였다. 응력 성분은 압축 상태에서 각각의 거동특성을 갖는 세 개의 직교 성분으로 분리하였다. 각 성분의 거동 특성을 독립적으로 나타내기 위하여 각 성분에 대한 독립적인 다중 파괴기.준을 이용하는 소성모델을 적용하였다. 각 파괴면은 실험결과에 근거하여 각 파괴기준에 대한 등가 소성 변형률에 의하여 정의하였다. 또한, 압축손상에 의한 체적팽창을 나타내기 위한 간단한 비상관 소성흐름법칙을 제안하였다. 제안된 모델은 다양한 재료 특성 및 응력 상태를 갖는 기존의 실험 결과들과 비교를 통하여 검증되었다. 이 비교는 기존의 소성모델보다 제안된 모델의 적용성이 우수함을 입증하고 있다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.914-921
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• 2006

To describe the effect of the numerous and various oriented microcracks on the compressive and tensile concrete behaviors, the directional nonlocality is defined. The plasticity model using multiple failure criteria is developed for RC planar members in tension-compression. The crack damages are defined in the pre-determined reference orientations, and then the total crack damage is calculated by integrating multi-oriented crack damages. To describe the effect of directional nonlocality on the anisotropic tensile damage, based on the existing test results, the nonlocal damage factor is defined in each reference orientation. The reduced compressive strength in the cracked concrete is defined by the multi-oriented crack damages defined as excluding the tensile normal plastic strain from the compressive equivalent plastic strain. The proposed model is implemented to finite element analysis, and it is verified by comparisons with various existing panel test results.

• Industrial Engineering and Management Systems
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• 제9권2호
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• pp.88-96
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• 2010

This paper presents a two-phase quantitative framework to aid the decision making process for effective selection of an efficient freight logistics hub from 8 alternatives in Thailand on the North-South economic corridor. Phase 1 employs both multiple regression and Pearson Feature selection to find the important criteria, as defined by logistics hub score, and to reduce number of criteria by eliminating the less important criteria. The result of Pearson Feature selection indicated that only 5 of 15 criteria affected the logistics hub score. Moreover, Genetic Algorithm (GA) was constructed from original 15 criteria data set to find the relationship between logistics criteria and freight logistics hub score. As a result, the statistical tools are provided the same 5 important criteria, affecting logistics hub score from GA, and data mining tool. Phase 2 performs the fuzzy stochastic AHP analysis with the five important criteria. This approach could help to gain insight into how the imprecision in judgment ratios may affect their alternatives toward the best solution and how the best alternative may be identified with certain confidence. The main objective of the paper is to find the best alternative for selecting freight logistics hub under proper criteria. The experimental results show that by using this approach, Chiang Mai province is the best place with the confidence interval 95%.