• 한국정보통신학회논문지
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• 제17권12호
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• pp.2812-2817
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• 2013

본 논문에서는 간섭 환경을 고려하여 디코딩 후 전달 중계 시스템에서 최적의 중계 노드 선택 기법에 대한 아웃티지 확률을 레일레이 페이딩 채널을 가정하여 분석한다. 그리고, 아웃티지 성능 결과를 토대로 최적의 중계 노드 선택을 위하여 이용되는 중계 노드 후보들의 유효한 집합을 결정하는 방법을 제안한다. 여기서, 중계 노드 후보들의 유효한 집합은 시스템에서 중계 노드 선택을 위하여 주어진 중계 노드들 중 성능 개선에 기여하지 못하는 중계 노드들을 제외한 집합을 의미한다. 중계 노드 후보들의 유효한 집합 결정은 성능의 저하를 최소화하면서 채널 정보의 피드백오버헤드를 절감시키고 중계 노드들의 불필요한 에너지 낭비를 방지할 수 있다. 본 논문에서는 중계 노드 후보들의 유효한 집합 결정에 영향을 주는 중요한 변수를 제공한다.

• Communications for Statistical Applications and Methods
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• 제26권2호
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• pp.149-161
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• 2019

In this article, we suggest the following approaches to simultaneous variable selection and outlier detection. First, we determine possible candidates for outliers using properties of an intercept estimator in a difference-based regression model, and the information of outliers is reflected in the multiple regression model adding mean shift parameters. Second, we select the best model from the model including the outlier candidates as predictors using stochastic search variable selection. Finally, we evaluate our method using simulations and real data analysis to yield promising results. In addition, we need to develop our method to make robust estimates. We will also to the nonparametric regression model for simultaneous outlier detection and variable selection.

• 천문학회보
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• 제46권2호
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• pp.80.2-80.2
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• 2021

Galactic young massive clusters are the ideal laboratories to study massive stellar evolution. Unfortunately, such objects are rare. Of particular interest are so-called Red Supergiant Clusters (RSGCs) that are currently only found toward the Scutum-Crux Galactic arm. Confirming their nature as RSGC is often not straight-fortward as distinguishing RSGs from AGB stars is still difficult even with high spectral resolution spectra. Here we report that broad band colors using 2MASS JHK and GAIA G band data can be useful in reducing the AGB contamination, thus providing selection criteria that effectively reveal the known RSGCs with negligible false positives. On the other hand, we suggest that RSGC4, one of the proposed RSGC candidates, may not be a cluster of RSGs as their colors are not compatible with our selection criteria. We discuss the nature of these stars together with our IGRINS spectroscopic observations. We also employ the same selection criteria to search for RSGC candidates in other parts of the plane, resulting in no prominent candidates.

• 한국음향학회지
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• 제30권8호
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• pp.428-435
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• 2011

Many isolated word recognition systems may generate irrelevant words for recognition results because they use only acoustic information or small amount of language information. In this paper, I propose word similarity that is used for selecting (or removing) less common words from candidates by applying Levenshtein distance. Word similarity is obtained by using positional accuracy that reflects the frequency information along to character's alignment information. This paper also discusses various improving techniques of selection of disparate words. The methods include different loss values, phone accuracy based on confusion information, weights of candidates by ranking order and partial comparisons. Through experiments, I found that the proposed methods are effective for removing heterogeneous words without loss of performance.

• 한국항공운항학회지
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• 제18권1호
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• pp.83-88
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• 2010

The study is intended to help to select the pilot candidates with exceptional flight aptitude ability and to investigate the relationship between the results of the scholastic aptitude test and the flight aptitude. It is intended that the research will help to draw recommendations on the relevant fields of the scholastic aptitude test that is to be used to select the high caliber candidates with exceptional flight aptitude ability, to gauge the resulting effectiveness of its application and helping to revise the university's syllabus accordingly. From the study, korean, mathematics, english grade and the flight aptitude test results have all shown to hold mutual relationship and through simple correlation analysis, it was discovered that mathematics and English are the two factors that affect the results of the flight aptitude test, with the extent of its impact graded in descending order of English, mathematics and Korean. Lastly, the logistic regression analysis have discovered that the mathematics grade has significant effect on the classification of the flight aptitude and non aptitude category groups, and English also has significant influence close to the 0.05 p-values. It is believed that should the findings of this study be considered as part of the selection process of the university applicants of the department of aeronautical science, making discovery of candidates of higher quality is expected.

• 한국산업보건학회지
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• 제32권3호
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• pp.253-267
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• 2022

Objectives: This study was performed to check whether the CRS (Chemical Ranking and Scoring) system is appropriate as a method to determine substances as candidates for substances subject to permission and to apply this system to the selection of candidates for substances subject to permission. Methods: A risk score was obtained by multiplying the hazard score and the exposure score and then ranking them. The hazard sub-indicators are carcinogenicity, germ cell mutagenicity, reproductive toxicity, specific target organ toxicity-repeated exposure, respiratory sensitization and endocrine disrupting chemicals. Exposure sub-indicators are persistence, bioaccumulation and emission volume. Sensitivity analysis was performed for missing values. Correlation analysis and multivariable linear regression analysis were performed among hazard, exposure and risk in order to confirm that CRS was an appropriate method. Results: As a result of the sensitivity analysis on missing values, it was confirmed that the effect on the risk ranking was not sensitive. Correlation and regression analysis confirmed that exposure had a greater effect on risk than hazard. Conclusions: The CRS system, which derives a risk score using a hazard and exposure score, is judged to be appropriate as a method for the selection of preliminary of candidates for substances subject to permission. Benzene, cadmium, nickel, and cobalt were selected as priority candidates for substances subject to permission.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권8호
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• pp.595-603
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• 2002

우수한 인식 성능을 보이기 위하여 가용한 인식기 풀(pool)로부터 다수 인식기를 선택하는 방법에 관한 연구는 소수에 불과하였다. 그래서, 어떻게 또는 얼마나 많은 인식기를 선택해야 하는가에 관한 인식기의 선택 문제는 여전히 중요한 연구 주제로 남아 있다. 본 논문에서는 선택되는 인식기의 개수가 미리 제한되어 있다는 가정 하에서, 다양한 선택 기준을 제안하고, 이들 선택 기준에 따라서 다수 인식기 시스템을 구축하며, 구축된 다수 인식기 시스템의 성능을 평가함으로써 제안된 선택 기준을 평가하고자 한다. 모든 가능한 다수 인식기의 집합은 선택 기준에 의해서 조사되고, 그 중 일부가 다수 인식기 시스템의 후보로 선정된다. 이러한 다수 인식기 시스템 후보들은 Concordia 대학과 UCI(University of California, Irvine)의 기계학습 자료로부터 얻은 무제약 필기 숫자를 인식하는 실험에 의해 평가되었다. 다양한 선택기준 중에서, 특히 조건부 엔트로피에 기반한 정보 이론적 선택 기준에 의하여 구축된 다수 인식기 시스템 후보가 다른 선택 기준에 의한 후보보다 더 유망한 결과를 보여 주었다.

• Journal of information and communication convergence engineering
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• 제13권2호
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• pp.97-104
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• 2015

In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

• 한국융합학회논문지
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• 제9권5호
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• pp.191-202
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• 2018

최근 들어 인공지능이 인사선발 업무에서 활용되고 있으며, 인공지능이 인사선발 결정을 할 것으로 예측되고 있다. 본 연구에서는 인간이 채용하는 절차와 인공지능이 채용하는 절차를 비교하여 인공지능 인사담당자에 대한 잠재적 입사지원자들의 인식을 파악하였다. 대한민국의 대학생들을 대상으로 연구를 진행하였으며, 집단 간 설계(between-group design) 방식으로 2가지 시나리오(인간 인사담당자 vs 인공지능 인사담당자)를 제시하고 채용 절차에 대한 만족도, 절차공정성, 인사담당자에 대한 신뢰, 그리고 정당세상믿음을 측정하였다. 그 결과 잠재적 입사지원자들은 인공지능이 채용하는 절차를 인간이 채용하는 절차보다 더 만족했고, 더 공정하다고 인식하였으며, 인공지능 인사담당자를 인간 인사담당자보다 더 신뢰하였다. 또한 세상이 정당하다고 믿는 정도에 따라 인간과 인공지능에 대한 인식에 차이가 있는 것으로 나타났다. 본 연구의 결과를 토대로 향후 연구 방향성을 제시하였다.

• 천문학회보
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• 제36권2호
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• pp.64-64
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• 2011

We present a new quasi-stellar object (QSO) selection algorithm using a Support Vector Machine, a supervised classification method, on a set of extracted time series features including period, amplitude, color, and autocorrelation value. We train a model that separates QSOs from variable stars, non-variable stars, and microlensing events using 58 known QSOs, 1629 variable stars, and 4288 non-variables in the MAssive Compact Halo Object (MACHO) database as a training set. To estimate the efficiency and the accuracy of the model, we perform a cross-validation test using the training set. The test shows that the model correctly identifies ~80% of known QSOs with a 25% false-positive rate. The majority of the false positives are Be stars. We applied the trained model to the MACHO Large Magellanic Cloud (LMC) data set, which consists of 40 million lightcurves, and found 1620 QSO candidates. During the selection, none of the 33,242 known MACHO variables were misclassified as QSO candidates. In order to estimate the true false-positive rate, we crossmatched the candidates with astronomical catalogs including the Spitzer Surveying the Agents of a Galaxy's Evolution (SAGE) LMC catalog and a few X-ray catalogs. The results further suggest that the majority of the candidates, more than 70%, are QSOs.