• 대한산업공학회지
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• 제36권3호
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• pp.164-175
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• 2010

In this study, we developed a genetic algorithm to find a near optimal solution of concurrent spare parts selection for the operational time period with limited information of weapon systems purchased from overseas. Through the analysis of time profiles related with system operations, we first define the optimization goal which maintains the expected system operating rate under the budget restrictions, and the number of failures and the lead time for each spare part are used to calculate the estimated total down time of the system. The genetic algorithm for CSP selection shows that the objective function minimizes the estimated total down time of systems with satisfying the restrictions. The method provided by this study can be applied to the generalized model of CSP selection for the systems purchased from overseas without provision of their full structure and adequate information.

• 가족자원경영과 정책
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• 제9권2호
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• pp.1-21
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• 2005

The purpose of this study was to analyze the effect of the influencing factors on the economic and educational supports selection of small self-employed business. A sample of 321 was selected from self-employed workers living in Daegu. For data analysis, logistic regression was used. The major findings were as follows: 1 The determinants of the economic supports selection in self-employed business were father's working experiences in self-employed business, taking employees or not in business, having housing ownership or not, and as well as the amount of starting capital. 2. The determinants of the educational supports selection in self-employed business were self-employer's working experience as self-employed before or not, and empowerment with self-employed work.

• 전자공학회논문지
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• 제52권7호
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• pp.165-168
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• 2015

본 논문에서는 파일럿 심볼을 이용한 안테나 선택방법을 적용한 SFBC-OFDM(Space Frequency Block Code-Orthogonal Frequency Division Multiplexing) 시스템에 대한 성능을 분석한다. 안테나 선택은 파일럿 심볼로부터 산출된 채널 계수에 기반하여 결정된다. 각 주파수에서, 산출된 채널 계수들을 정렬하고 그 중 가장 양호한 채널이 선택된 후 가장 좋은 계수를 가지는 안테나로 데이터가 전달된다. 또한 이 방법에 대해서 부호 이득과 다이버시티 이득도 분석된다.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.57-65
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• 2018

Artificial neural network is inspired by the biological neural network. For simplicity, in computer science, it is represented as a set of layers. Many research has been made in evaluating the number of neurons in the hidden layer but still, none was accurate. Several methods are used until now which do not provide the exact formula for calculating the number of thehidden layer as well as the number of neurons in each hidden layer. In this paper model selection approach was presented. Proposed model is based on geographical analysis of decision boundary. Proposed model selection method is useful when we know the distribution of the training data set. To evaluate the performance of the proposed method we compare it to the traditional architecture on IRIS classification problem. According to the experimental result on Iris data proposed method is turned out to be a powerful one.

• 한국항해항만학회지
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• 제46권2호
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• pp.121-133
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• 2022

The purpose of this study was to analyze decision-making regarding ship finance term selection from the behavioral finance perspective and to confirm if the causes and backgrounds of decision-making related to the term selection of ship finance are explicitly explained by behavioral finance theories. Additionally, through a case study, this study infers if decisions are irrational. Narrative and questionnaire responses on the selection of the ship finance period were obtained and analyzed from the behavioral finance perspective. Some shipping companies incur additional losses by choosing inappropriate ship-financing terms. This study applied behavioral finance theories, such as the certainty effect, availability heuristic, and loss aversion, to clearly explain the causes and background of such decision-making. Based on the results, it was found that behavioral finance theories impact ship financing decisions and errors related to behavioral finance can result in irrational decisions. Ship finance managers must be vigilant in preventing behavioral finance errors that can affect the decision-making term of ship finance.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.38-43
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• 2022

In this study, there are many difficulties in defining and judging creative people because there is no systematic analysis method using accurate standards or numerical values. Analyze and judge whether In the previous study, A study on the application of rule success cases through machine learning algorithm extraction, a case study was conducted to help verify or confirm the psychological personality test and aptitude test. We proposed a solution to a research problem in psychology using machine learning algorithms, Data Mining's Cross Industry Standard Process for Data Mining, and CRISP-DM, which were used in previous studies. After that, this study proposes a solution that helps to judge creative people by applying the feature selection algorithm. In this study, the accuracy was found by using seven feature selection algorithms, and by selecting the feature group classified by the feature selection algorithms, and the result of deriving the classification result with the highest feature obtained through the support vector machine algorithm was obtained.

• 천문학회보
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• 제46권1호
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• pp.48.2-48.2
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• 2021

We have developed a frequentist approach for model selection which determines consistency of a cosmological model and the data using the distribution of likelihoods from the iterative smoothing method. Using this approach, we have shown how confidently we can distinguish different models without comparison with one another. In this current work, we compare our approach with conventional Bayesian approach based on estimation of Bayesian evidence using nested sampling for the purpose of model selection. We use simulated future Roman (formerly WFIRST)-like type Ia supernovae data in our analysis. We discuss limits of the Bayesian approach for model selection and display how our proposed frequentist approach, if implemented appropriately, can perform better in falsification of individual models.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.407-416
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• 2023

In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote the development of the logistics industry, the selection of appropriate port logistics location is the basis of giving full play to the port logistics function. In order to better realize the selection of port logistics, this paper adopts the entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation model of port logistics location. Then through the actual case, from the environmental dimension and economic competition dimension to make choices and analysis. The results show that port d has the largest logistics competitiveness and the highest relative proximity among the three indicators of hinterland city economic activity, hinterland economic structure, and port operation capacity of different port logistics locations, which has absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensional selection of port logistics site selections.

• 한국조리학회지
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• 제17권4호
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• pp.59-73
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• 2011

본 연구에서는 최근 6개월 이내 막걸려 구매 및 음용 경험이 있는 소비자를 대상으로 음용 및 구매 동기에 따라 소비자의 유형을 세분화하고 유형별로 막걸리 선택속성 중요도차이와 고객만족과의 관계를 규명하여 막걸려 제조 기업의 마케팅 전략 수립에 도움을 주고자 하였다. 자료의 처리는 SPSS 15.0 통계패키지를 사용하여 빈도분석, 신뢰도 분석, 요인분석, 군집분석, 일원배치분산분석, 다중회귀분석을 실시하였다. 그 결과 구매 및 음용 통기는 마케팅, 건강상 효능, 자기 욕구, 외부환경 등 4개 요인으로 분류되었고 소비자는 의존형, 애호형, 무관심형 등 3가지 유형으로 세분화되었다. 그리고 막걸리 선택속성은 건강 특성, 시각적 요소1 브랜드 특성, 음용 특성, 구매 특성 등 4개 요인으로 분류되었다. 막걸리 애호형 소비자군은 모든 막걸리 선택속성에 대해서 가장 중요하게 인식하는 것으로 나타났고, 의존형 소비자군은 애호형 소비자군보다 건강 특성과 시각적 요소에 대한 중요도를 약하게 인식하는 것으로 나타났다. 무관심형 소비자군은 모든 막걸리 선택속성에 대한 중요도를 다른 유형보다 상대적으로 가장 약하게 인식하고 있는 것으로 나타났다. 막걸리 선택속성 중에서 고객만족에 영향을 미치는 요인은 응용 특성과 구매 특성으로 나타났다.

• 한국학교수학회논문집
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• 제18권4호
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• pp.431-448
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• 2015

초등교사 임용후보자 선정 경쟁시험은 초등교사의 수학을 가르치기 위한 지식(MKT)을 의미 있게 측정하고, 나아가 MKT를 신장시킬 수 있는 방향으로 시행되어야 한다. 이를 위해서는 먼저 현재까지 임용시험에서 출제된 문항들에 대한 분석이 면밀한 이루어져야 할 것이다. 이에 본 연구에서는 2000년 이후 출제된 초등교사 임용시험에서 수학 교과 문항 84개의 출제 동향을 문항 유형, 대상 학년, 내용 영역, 주제별로 기준을 설정하여 임용시험의 전체적인 경향을 구체적으로 분석하고, 초등 교사의 MKT와 관련하여 분석의 결과를 도출하였다. 분석 결과, 임용시험은 문항 유형에서 서답형(71.4%)이 주로 출제되었고, 대상 학년에서는 통합 학년(41.7%)의 문제 출제 비중이 높은 것으로 나타났다. 또한, 내용 영역의 측면에서는 수와 연산(31.0%), 측정(23.8%), 도형(15.5%) 영역의 순으로 출제 비중이 높았다. 주제별 동향에서는 교과서/지도서(34.5%), 문제해결(26.2%), 학습심리(13.1%)의 순으로 비중이 높았지만, 평가와 관련된 문항은 없는 것으로 나타났다. 본 연구는 임용시험의 초등수학 출제 문항으로 2000년 이후의 모든 문항을 선행 연구의 기준을 구체화하여 분석하였으며, 초등교사의 MKT와 관련하여 분석의 결과를 도출하였다는 점에서 의미를 갖는다.