• 정보관리학회지
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• 제22권1호
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• pp.65-85
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• 2005

이 연구는 입지선정 과정에서 다양한 집단의 의사를 반영하고 객관성 있는 입지후보지를 선정하는 방법을 제시하고자 하였다. 제안하는 도서관 입지선정 모형은 입지기준의 중요도를 측정하는 계층분석법과 구체적인 입지를 선정하는 지리정보시스템을 통해서 이루어졌고 이를 서초구에 적용하였다. 먼저, 문헌연구를 통해 도서관 입지기준을 설정하였고 설정된 기준을 계층화하였다. 계층화된 기준 중에서 서초구 환경에 적합한 기준을 추출하여 설문지를 작성하였고 이를 도서관 이용자, 전문가, 행정 공무원의 세 집단을 대상으로 설문조사를 실시했다. 일관성을 유지하고 있는 설문만을 분석하여 각 기준들의 상대적인 중요도를 측정하였다. 다음으로 도서관 입지 배제지역을 설정하였고 입지기준들의 지도 레이어를 작성하였다. 레이어를 설문을 통해 얻은 각 기준의 상대적인 중요도를 가중치로 하여 중첩함으로써 75개 후보지를 선정하였다. 선정된 후보지들을 기준별 유사도에 따라 5개의 클러스터로 군집화했고 적합도가 낮은 한 개의 군집을 제외한 네 개의 후보지를 최종 입지후보지로 제시했다.

• Mycobiology
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• 제40권2호
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• pp.111-116
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• 2012

Ten strains of the entomopathogenic fungi Metarhizium anisopliae and Beauveria bassiana were evaluated to find the most effective strain for optimization studies. The first criterion tested for strain selection was the mortality (> 50%) of Spodoptera litura larvae after inoculation of the fungus for 4 days. Results on several bioassays revealed that B. bassiana BNBCRC showed the most virulence on mortality S. litura larvae (80% mortality). B. bassiana BNBCRC also showed the highest germination rate (72.22%). However, its conidia yield ($7.2{\times}10^8$ conidia/mL) was lower than those of B. bassiana B 14841 ($8.3{\times}10^8$ conidia/mL) and M. anisopliae M6 ($8.2{\times}10^8$ conidia/mL). The highest accumulative radial growth was obtained from the strain B14841 (37.10 mm/day) while the strain BNBCRC showed moderate radial growth (24.40 mm/day). M. anisopliae M6 possessed the highest protease activity (145.00 mU/mL) while M. anisopliae M8 possessed the highest chitinase activity (20.00 mU/mL) during 96~144 hr cultivation. Amongst these criteria, selection based on virulence and germination rate lead to the selection of B. bassiana BNBCRC. B. bassiana B14841 would be selected if based on growth rate while M. anisopliae M6 and M8 possessed the highest enzyme activities.

• 산업공학
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• 제13권3호
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• pp.296-305
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• 2000

In supply chains, coordination between a manufacturer and suppliers is regarded as the most important issue when partnership of organizations is considered. Since the suppliers are external to the manufacturer and poor coordination between them results in excessive delays and ultimately leads to poor customer service, manufacturers need a new methodology to select suppliers and to manage and enhance the partnership between manufacturer and suppliers. We suggest a methodology that extends knowledge obtained from the supplier selection process to the supplier management process. We reserved a word, the supplier selection and management system (SSMS) for this methodology. In this paper, we explain how the SSMS is applied to a real supply chain. The methodology identifies the managerial criteria using information derived from supplier selection process and makes use of them in the supplier management process. These managerial criteria include key criteria that are major criteria required by the manufacturer for the best quality of parts from suppliers according to the character of each part, and weak criteria that show the shortcomings of selected suppliers as compared with alternative suppliers with regard to each criterion. The effectiveness of supplier management with managerial criteria was verified by a t-test and a correlation analysis with data collected and hypothesized from a Korean air-conditioner manufacturer.

• Journal of Information Processing Systems
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• 제13권2호
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• pp.305-320
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• 2017

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlooks the differences among local speckle patterns of the image. Besides, it is very laborious to find the optimal global subset size of a speckle image. In this paper, a self-adaptive and bidirectional dynamic subset selection (SBDSS) algorithm is proposed to make the subset sizes vary according to their local speckle patterns, which ensures that every subset size is suitable and optimal. The sum of subset intensity variation (${\eta}$) is defined as the assessment criterion to quantify the subset information. Both the threshold and initial guess of subset size in the SBDSS algorithm are self-adaptive to different images. To analyze the performance of the proposed algorithm, both numerical and laboratory experiments were performed. In the numerical experiments, images with different speckle distribution, different deformation and noise were calculated by both the traditional DIC and the proposed algorithm. The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also demonstrate that the proposed algorithm is effective in selecting appropriate subset size for each point.

• 시스템엔지니어링학술지
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• 제9권1호
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• pp.55-63
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• 2013

Nuclear power plant site selection is a complex process and its successful completion is a critical milestone in the NPP development cycle. Proper siting of NPP will ensure public health and safety, environmental conservation, reduced project failure risks and a smooth NPP development process among other benefits. The objective of this paper is to demonstrate the application of systems engineering to the problem of NPP siting in Kenya. The siting process demonstrated in this paper includes stakeholder need analysis where stakeholders are identified and their needs concerning NPP site are elicited and converted into system functional requirements. A value model is then developed and potential sites iteratively subjected to three types of criteria i.e. exclusionary criteria, avoidance criteria and suitability criteria. This process is used to identify the candidate sites. An additive value model; multiple objectives Decision Analysis (MODA) is then used to calculate candidate solutions values. The site with the highest solution value score is selected. Sensitivity studies using different criterion weight sets (thereby reflecting different viewpoints) can be conducted to assess their effect on the selection of a preferred site and thereby lend additional credibility to the decision process.

• Communications for Statistical Applications and Methods
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• 제24권4호
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• pp.383-396
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• 2017

The model in our approach assumes that computer responses are a realization of a Gaussian processes superimposed on a regression model called a Gaussian process regression model (GPRM). Selecting a subset of variables or building a good reduced model in classical regression is an important process to identify variables influential to responses and for further analysis such as prediction or classification. One reason to select some variables in the prediction aspect is to prevent the over-fitting or under-fitting to data. The same reasoning and approach can be applicable to GPRM. However, only a few works on the variable selection in GPRM were done. In this paper, we propose a new algorithm to build a good prediction model among some GPRMs. It is a post-work of the algorithm that includes the Welch method suggested by previous researchers. The proposed algorithms select some non-zero regression coefficients (${\beta}^{\prime}s$) using forward and backward methods along with the Lasso guided approach. During this process, the fixed were covariance parameters (${\theta}^{\prime}s$) that were pre-selected by the Welch algorithm. We illustrated the superiority of our proposed models over the Welch method and non-selection models using four test functions and one real data example. Future extensions are also discussed.

• 응용통계연구
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• 제32권6호
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• pp.909-922
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• 2019

벌점화 추정 기법 중 adaptive LASSO 방법은 모형 선택과 모수 추정을 동시에 할 수 있는 유명한 방법으로 이미 정상 자기회귀모형에서 연구된 적이 있다. 본 논문에서는 이를 확장하여 확률보행과정과 같은 비정상 자기회귀모형에서 adaptive LASSO 추정량이 갖는 성질을 모의실험을 통해 연구하였다. 다만 비정상 자기회귀모형에서는 단위근의 존재 여부를 판단하는 것과 모형의 차수를 선택하는 것이 가장 중요하므로, 이를 위해 원 자기회귀모형이 아닌 ADF 검정에서 고려하는 회귀모형으로 변환하여 adaptive LASSO를 적용하였다. 일반적으로 Adaptive LASSO를 적용할 때 조절모수의 선택이 가장 중요한 문제이며, 본 논문에서는 교차검증, AIC, BIC 세 가지 방법을 이용하여 조절모수를 선택하였다. 모의실험 결과를 보면, 이 중에서 BIC가 최소가 되도록 선택한 조절모수에 대응되는 adaptive LASSO 추정량이 단위근의 존재 여부를 잘 판단할 뿐만 아니라 자기회귀모형의 차수 또한 비교적 정확하게 선택함을 확인할 수 있다.

• 한국통신학회논문지
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• 제40권7호
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• pp.1420-1423
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• 2015

본 레터는 두 통신 선박이 다수의 릴레이 선박의 협력으로 데이터를 교환하는 해상 통신 시스템을 고려한다. 이 때 릴레이 선박들이 채널 상태 정보에 따라 아날로그 네트워크 부호화와 디지털 네트워크 부호화를 적응적으로 선택하는 방법을 제안하고, 이러한 적응 전송 시 최적의 릴레이 선박을 선택하는 기준을 함께 제공한다. 모의실험 결과 제안한 방법이 단일 네트워크 부호화를 적용하는 기존의 방식보다 향상된 성능을 제공함을 볼 수 있다.

• Journal of the Korean Data and Information Science Society
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• 제9권1호
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• pp.19-27
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• 1998

본 논문에서는 커널 회귀함수의 추정방법에서 최적수렴율 $n^{-1/2}$을 가지는 평활량을 선택하는 방법에 대한 연구를 고려하였다. 이러한 평활량의 선택을 위하여 먼저 평활량의 수행측도인 기대평균제곱오차의 근사값을 4차항까지 테일러 급수전개를 하고 그 전개식을 최소화하는 평활량을 고려하였다. 이때 이 평활량이 포함하고 있는 미지의 범함수를 높은 차수의 커널함수를 이용하여 더욱 정확히 추정할 수 있음을 제안한다. 또한 이렇게 구한 평활량과 최적 평활량과의 상대적 수렴율이 $n^{-1/2}$가 됨을 보였다.

• Journal of Preventive Medicine and Public Health
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• 제32권1호
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• pp.72-79
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• 1999

Objectives. The purpose of this study was to evaluate the quality of abstracts of original articles. Methods. This subjects selected total 63 abstracts of the original articles of the Korean Journal of Preventive Medicine in 1997. The quality of abstracts was measured against a checklist of evaluation criteria, which were divided into eight categories and the numbers of inappropriate words (including grammar) according to criterionbased survey. A score for each abstract was obtained by dividing the number of criteria presented by the number applicable. The overall mean score was also determined. Results. The overall mean score of abstract quality was 0.55 out of 1. Of the abstracts subject selection 83% didn't include specific technical descriptors. Of those that gave conclusions 92% didn't address study limitations and 78% made no recommendations for future study. The overall mean number of inappropriate usage of words (including grammar) per abstract was 14.1. The overall mean number of English words was 283. In the multiple regression analyses, the research career of the first author and the number of English words to the number of inappropriate usage of words were statistically significant. Also, in the secondary regression model, the number of English words to the quality score of abstract was only statistically significant. Conclusions. Most of the abstracts provided some information pertaining to each evaluation criterion. However, they did not provide sufficient details to enhance the reader's understanding of the article. On the basis of the study the abstracts need improvement in its description of the reported subject selection, statements of limitations and recommendations, etc. The Korean Society for Preventive Medicine will recommend a proposal for more informative abstracts in Korean J Prey Med and will take into consideration the introduction of foreign review of abstracts. Future studies should address these issues and compare the quality of abstracts between different journals and their time of publication.