• 정보처리학회논문지D
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• 제13D권4호
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• pp.603-612
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• 2006

최근 웹 서비스 분야는 SOA(Services-Oriented Architecture)에 대한 관심의 증가와 B2B 시장의 성장으로 인해 차세대 IT 패러다임으로 급부상하고 있다. UDDI(Universal Description, Discovery and Integration)를 통한 서비스 발견은 오직 기능적 측면에만 기반을 두기 때문에, 서비스의 사용 빈도와 상호간의 신뢰성에 미치는 영향은 고려하지 않았다. 즉, 웹 서비스의 비기능적 측면인 품질은 소비자와 제공자 상호간에 성공을 위한 중요한 요인이 될 것이며, 이에 품질을 고려한 웹 서비스 선정 방법이 요구된다. 본 논문에서는 서비스 소비자의 입장에서 소비자가 원하는 최적의 품질을 제공하는 서비스를 찾도록 도와주는 에이전트 기반 품질 브로커 아키텍처와 선정 프로세스를 제안한다. 웹 서비스와 같이 분산되고 이질적인 환경에서 에이전트에 관한 이론들은 널리 받아들여지고 있으므로 제안하는 시스템 아키텍처에 적합하다. 본 논문에서는 웹 서비스 선정에 관한 기존 연구의 문제점을 개선하기 위해 평가과정에서 QoS와 CoS를 고려하였으며, 평가 방법으로 다기준 의사결정 기법들 중에서 웹 서비스 선정에 가장 적합하다고 판단된 PROMETHEE(Preference Ranking Organization MeTHod for Enrichment Evaluations)를 사용하였다. PROMETHEE는 비교 서비스들이 추가되거나 삭제되더라도 이원비교를 다시 수행해야 하는 문제를 극복할 수 있는 장점이 있다. 본 논문에서는 제시한 선정 프로세스를 검증하기 위하여 서비스 조합 시나리오를 갖는 사례 연구를 제시하였다. 사례 연구에서 웹 서비스 선정 프로세스는 소비자 관점의 품질 측정값과 정의된 서비스 레벨을 바탕으로 의사 결정 문제를 기술하였다.

• 농업과학연구
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• 제47권3호
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• pp.667-672
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• 2020

It is well known that intensive selection caused a decline in reproductive performance in dairy cattle. Interestingly, the reproductive performances including fertility and calving interval of Korean native beef cattle have declined in the last 20 years, suggesting that a breeding program focusing on carcass weight and intramuscular fat may affect the reproductive physiology in Korean native beef cattle, too. In this study, we analyzed the calving interval (CI) and selection index (SI) based on genome-wide association studies (GWAS) of Hanwoo cows for seven years (2013 - 2019). Multiparous cows (4.5 ± 0.11) were analyzed, which were bred by artificial insemination (AI). We first examined the distribution of the AIs and calving dates. About 40% of the AIs were carried out in May to June and October to December; subsequently, calving was observed from March to April and August to October, respectively, indicating the cows were seasonally bred. No correlation between CI and SI was found (y = 0.0459x - 17.64; R² = 0.0356), but the ratio of cows with a positive SI was higher in the longer CI group compared to the shorter group, suggesting that the selection for meat quality and quantity may affect the reproductive performances. In addition, the average value of SI was - 3.42 in the CI < 400 while + 5.79 in the CI > 400 although the values were not statistically significant. However, our results suggest that reproductive indices such as fertility and CI should be considered for sustainability in the Hanwoo breeding selection program.

• Journal of Advanced Marine Engineering and Technology
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• 제22권3호
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• pp.381-395
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• 1998

The purpose of this study is to determine the optimal gas turbine system for special purpose ships. First we generate critical evaluation criteria an construct their hierarchical structure. The criteria consist of qualitative ones as well as the economic factor. Then AHP is applied to solve the decision making problem AHP gibes good results different from those only by the economic evaluation methods. And during the analysis, the procedure produces many useful informations to the decision making. The results shows that AHP is an appropriate method for these kinds of problems such as the system selection.

• 한국신뢰성학회지:신뢰성응용연구
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• 제18권2호
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• pp.161-172
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• 2018

Purpose: Test & Evaluation items are main contents which verify performance of the development system and they are deduced going through project management system stages. However, there is no systematic or standardized framework for Test & Evaluation items, so a lot of differences occur between projects and people are questioning whether verification items are selected for the optimization of the development system. In this regard, this research proposes the process of deducing Test & Evaluation items in a systematic way during a development stage by applying QFD (Quality Function Deployment) technique which reflects customers' requirements. Methods: Test & Evaluation items are recognized as customers' requirements, and QFD technique which refines and gathers various requirements of customers effectively during general products' development stage is applied to complete HOQ (House of Quality) Conclusion: There is no specific methodology for Test & Evaluation items, so currently, they are selected by including items which are given by similar projects or higher authorities. However, by utilizing QFD technique, selection of evaluation items which goes through more systematic process is expected to be possible.

• 한국경영과학회지
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• 제39권2호
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• pp.83-95
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• 2014

In this paper, we develop a portfolio selection model that can be used to invest in markets with margin requirements such as the foreign exchange market. An investment algorithm to implement the proposed portfolio selection model based on objective historical data is also presented. We further conduct empirical analysis on the performance of a hypothetical investment in the foreign exchange market, using the proposed portfolio selection model and investment algorithm. Using 7 currency pairs that recorded the highest trading volume in the foreign exchange market during the most recent 10 years, we compare the performance of 1) the Dollar Index, 2) a 1/N Portfolio which equally allocates capital to all N assets considered for investment, and 3) a hypothetical investment portfolio selected and managed according to the portfolio selection model and investment algorithm proposed in this paper. Performance is compared in terms of accumulated returns and Sharpe ratios for the 10-year period from January 2003 to December 2012. The results show that the hypothetical investment portfolio outperforms both benchmarks, with superior performance especially during the period following financial crisis. Overall, this paper suggests that a mathematical approach for selecting and managing an optimal investment portfolio based on objective data can achieve outstanding performance in the foreign exchange market.

• Journal of Animal Science and Technology
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• 제65권6호
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• pp.1180-1193
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• 2023

Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into different contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which increases when the evaluation traits are highly correlated.

• 농촌지도와개발
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• 제10권1호
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• pp.43-56
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• 2003

Evaluation in both an art and a science. The art of evaluation involves working with the management to agree upon purpose and users of results, creating design and gathering information that are appropriate for a specific situation and a particular policy making context. The value of evaluating extension p개grams has received a lot of attentions recently, and many extension educations see evaluation as an integral part of their work. The science of evaluation involves determining standards and developing indicatiors, selecting methods appropriate to gather information in a systematic way, analyzing information to assist in determining the value of the program in an objective manner. First, extension specialists have to consider relative merits about methods of gathering evaluation data. Selection of method should be influenced by the type of information desired, time availability, and cost of using the method. Second, good evaluations involve stakeholders at all stages including planning, implementation, and utilization of results. Third, far from being an "add-on ," evaluation begins with the initial planning of an educational program. Fourth, it is important for extension specialists that although evaluation is valuable and essential in any effective program, one of the biggest mistakes of extension program evaluators in to promise results that cannot possibly solve all the problems of project.

• 정보처리학회논문지D
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• 제9D권5호
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• pp.887-896
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• 2002

SPICE(Software Process Improvement and Capability dEtermination) 평가 모형에 기반한 중소기업형 프로세스 개선 모형으로 SPIRE (Software Process Improvement in Regions of Europe)가 개발되어 제공되고 있다. 그러나 SPIRE에서는 조직의 경영 목적에 맞는 프로세스 선택을 위한 구체적인 지침이나 매핑을 제시하고 있지 못하다. 이 연구에서는 프로세스 선택시 활용할 수 있는 객관적인 경영 목표-프로세스간 매핑 참조 테이블을 작성하고, 이를 활용한 프로세스 선정 방안을 제시한다. 매핑 참조 테이블은 델파이 기법을 활용하여 국내 소프트웨어 프로세스 전문가들의 의견 수렴을 통해 작성되었다. 본 연구에서 제시된 프로세스 선정 기법은 매핑 참조 테이블과 해당 업체 관련자의 주관적인 매핑 정보를 종합적으로 활용하여 최종적으로 개선 대상 프로세스를 선정되도록 한다. 이 연구에서 제시된 선정 방법을 2개의 중소 소프트웨어 조직에 실제 적용하여 활용 가능성을 검토하였다. 매핑 참조 테이블을 사용하여 업체 관련자가 간과하고 있던 주요 프로세스를 평가 대상 프로세스로 선정할 수 있었다.

• 과학교육연구지
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• 제37권2호
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• pp.245-260
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• 2013

연구는 수학 교과서 선정에 관한 교사의 인식을 조사하고 이를 바탕으로 합리적인 교과서 선정 과정 및 기준안 구성에 시사점을 제공하는데 그 목적이 있다. 이를 위하여 실제 교과서 선정 과정 및 선정을 위한 내적, 외적기준에 관한 조사를 실시한 결과 '교육과학기술부(교육청)에서 배부한 표준 선정 기준'을 가장 많이 활용하였으며 이 중 '학습내용조직'과 '학습평가'를 가장 중요한 요소로 여기는 것으로 나타났다. 선정 방식은 '기준에 맞추어 개인별로 점수 매긴 후 총점 합산하여 선정'한다는 응답이 가장 높게 나타났다. 실제 선정 시 가장 많이 고려한 내적 기준으로는 '학습 분량과 난이도의 적절성', 외적 기준으로는 '인지도'로 나타났으며 선정 과정에서의 애로사항은 '검토할 시간의 부족'이라 하였다. 이러한 결과들을 바탕으로 교과서 선정 과정과 선정 기준안에서 개선되어야 할 시사점을 도출하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.153-172
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• 2022

In this study, the authors intend to analyze factors contributing to research performance using Backpropagation Neural Network and Support Vector Machine. The analyzing factors contributing to lecturer research performance start from defining the features. The next stage is to collect datasets based on defining features. Then transform the raw dataset into data ready to be processed. After the data is transformed, the next stage is the selection of features. Before the selection of features, the target feature is determined, namely research performance. The selection of features consists of Chi-Square selection (U), and Pearson correlation coefficient (CM). The selection of features produces eight factors contributing to lecturer research performance are Scientific Papers (U: 154.38, CM: 0.79), Number of Citation (U: 95.86, CM: 0.70), Conference (U: 68.67, CM: 0.57), Grade (U: 10.13, CM: 0.29), Grant (U: 35.40, CM: 0.36), IPR (U: 19.81, CM: 0.27), Qualification (U: 2.57, CM: 0.26), and Grant Awardee (U: 2.66, CM: 0.26). To analyze the factors, two data mining classifiers were involved, Backpropagation Neural Networks (BPNN) and Support Vector Machine (SVM). Evaluation of the data mining classifier with an accuracy score for BPNN of 95 percent, and SVM of 92 percent. The essence of this analysis is not to find the highest accuracy score, but rather whether the factors can pass the test phase with the expected results. The findings of this study reveal the factors that have a significant impact on research performance and vice versa.