• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.298-299
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• 2018

본 연구에서는 의사결정자의 사전정보가 필요하지 않은 DEA 모형들을 대상으로 변별력 평가를 실시하였다. 변별력 평가를 위한 DEA모형으로 Entropy 모형, Bootstrap 모형, Benevolent Cross Efficiency 모형, Aggressive Cross Efficiency 모형, Game Cross Efficiency 모형을 선정하였다. 변별력 평가척도인 변동계수(coefficient of variation)와 중요도(degree of importance) 평가기준을 이용하여 5개 DEA 모형의 변별력을 평가하였다. 평가결과에 따르면 변별력 순위는 2개 평가 지표 모두에서 Entropy 모형, Aggressive CE 모형, Benevolent CE 모형, Game CE 모형, Bootstrap 모형 순으로 평가되었다.

• Acute and Critical Care
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• 제33권4호
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• pp.216-221
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• 2018

Background: In this study, we analyze the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE IV, Simplified Acute Physiology Score (SAPS) 3, and Mortality Probability Model $(MPM)_0$ III in order to determine which system best implements data related to the severity of medical intensive care unit (ICU) patients. Methods: The present study was a retrospective investigation analyzing the discrimination and calibration of APACHE II, APACHE IV, SAPS 3, and $MPM_0$ III when used to evaluate medical ICU patients. Data were collected for 788 patients admitted to the ICU from January 1, 2015 to December 31, 2015. All patients were aged 18 years or older with ICU stays of at least 24 hours. The discrimination abilities of the three systems were evaluated using c-statistics, while calibration was evaluated by the Hosmer-Lemeshow test. A severity correction model was created using logistics regression analysis. Results: For the APACHE IV, SAPS 3, $MPM_0$ III, and APACHE II systems, the area under the receiver operating characteristic curves was 0.745 for APACHE IV, resulting in the highest discrimination among all four scoring systems. The value was 0.729 for APACHE II, 0.700 for SAP 3, and 0.670 for $MPM_0$ III. All severity scoring systems showed good calibrations: APACHE II (chi-square, 12.540; P=0.129), APACHE IV (chi-square, 6.959; P=0.541), SAPS 3 (chi-square, 9.290; P=0.318), and $MPM_0$ III (chi-square, 11.128; P=0.133). Conclusions: APACHE IV provided the best discrimination and calibration abilities and was useful for quality assessment and predicting mortality in medical ICU patients.

• 한국의류산업학회지
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• 제3권5호
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• pp.415-422
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• 2001

Focusing on working with fashion show as fashion model in South Korea, this study was develop a fashion model typology based on specific model characteristics related demographics and body, job satisfaction/dissatisfaction factors. The survey was done through questionnaire and 194 fashion models were used in the data analysis. The statistical analysis used in this study were frequency, ${\chi}^2$-test, cluster Analysis, MANOVA. ANOVA and Duncan multiple range test. The results of this study were as follows: 1) The majority of sample were as follows: unmarried, college graduate and undergraduate, resident in the Seoul, 20 to 24 yrs old female with 175-177 cm, 52-54 kg, B-W-H (33-24-35 inch). 2) The types of fashion model were classified into 4 types: showing type, lack of professionalism type, matured professionalism type, dissatisfaction with job-environment type. The model segments were profiled on levels of various job related attitude factors, job satisfaction/dissatisfaction, model education, working condition, human relation, regulation discrimination, fashion show stage level, the job of model, body & clothing, and promising job. 3) There were significant differences found between their sex, academic background, guarantee, and in all factors in their job related attitude factors, job satisfaction/dissatisfaction, model education, working condition, human relation, regulation discrimination, fashion show stage level, the job of model, body & clothing, style promising job.

• 지능정보연구
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• 제29권3호
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• pp.401-418
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• 2023

최근 ChatGPT 등의 등장으로 거대언어모델(이하 LLM: Large Language Model)에 대한 사회경제적 관심이 고조되고 있다. 생성형AI의 일종인 거대언어모델은 대본 창착이 가능한 수준까지 이르고 있다. 이러한 측면에서 일반인과 전문가들이 광범위하게 활용할 거대언어모델에서 공연예술 전반 혹은 특정 공연예술물이나 단체의 차별 이슈(성차별, 인종차별, 종교차별, 연령차별 등)를 어떻게 묘사하는지에 관심을 가지고 해결해 나가야 할 것이다. 그러나 아직 거대언어모델에서 공연예술의 차별 이슈에 대한 본격적인 조사와 논의는 이루어지지 않고 있다. 따라서 본 연구의 목적은 거대언어모델로부터의 공연예술 분야 차별이슈 인식 양상을 텍스트 분석하고 이로부터 공연예술분야가 대응할 시사점과 거대언어모델 개발 시사점을 도출하는 것이다. 먼저 거대언어모델에게 차별에 대한 감수성을 측정하기 위해 9가지 차별 이슈에 대한 BBQ(Bias Benchmark for QA) 질문 및 측정법을 사용했으며, 대표적인 거대언어모델로부터 도출된 답변에 대해서 공연예술 전문가에 의해 거대언어모델이 잘못 인지한 부분이 있는지의 검증을 거친 후에 내용분석법을 통해 공연예술분야의 차별적 관점의 윤리성에 대한 거대언어모델의 인식을 분석하였다. 분석 결과로 공연예술 분야에게 주는 시사점과 거대언어모델 개발 시 주의할 점 등을 도출하고 토의하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1255-1258
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• 1998

Hidden Markov Model (HMM) is the most widely used method in speech recognition. In general, HMM parameters are trained to have maximum likelihood (ML) for training data. This method doesn't take account of discrimination to other words. To complement this problem, this paper proposes a word verification method by re-recognition of the recognized word and its similar word using the discriminative function between two words. The similar word is selected by calculating the probability of other words to each HMM. The recognizer haveing discrimination to each word is realized using the weighting to each state and the weighting is calculated by genetic algorithm.

• 노동경제논집
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• 제24권2호
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• pp.63-94
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• 2001

인간자본론에 의하면 노동자들간의 임금격차는 인간자본 축적량의 차이에 의해 설명될 수 있는데, 인간자본스톡의 정도는 개인의 선택에 의해 결정된다. 그러나 만일 인간자본스톡에 대한 개인의 선택, 즉 인간자본에 대한 투자결정이 차별에서 영향을 받는다고 하면 인간자본스톡에 근거한 남녀간 임금격차의 설명은 편의를 갖게 된다. 대다수 여성의 경우 노동시장참가가 불연속적으로 이루어지므로 이를 예상(기대)하는 여성이 남성에 비하여 인간자본에 대한 투자를 상대적으로 적게 한다면, 남녀 임금격차를 설명하기 위해서 인간자본스톡변수 대신에 기대(expected) 인간자본스톡변수를 사용하는 것이 편의의 발생을 줄이고 더 정확한 분석결과를 얻을 수 있을 것이다.

• 한국자기공명학회논문지
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• 제22권4호
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• pp.149-157
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• 2018

Diabetes is known to be one of common causes for several types of peripheral nerve damage. Diabetic neuropathy (DN) is a significant complication lowering the quality of life that can be frequently found in diabetes patients. In this study, the metabolomic characteristic of DN and Diabetes was investigated with NMR spectroscopy. The sera samples were collected from DN patients, Diabetes patients, and healthy volunteers. Based on the pair-wise comparison, three metabolites were found to be noticeable: glucose, obviously, was upregulated both in DN patients (DNP) and Diabetes. Citrate is also increased in both diseases. However, the dietary nutrient and biosynthesized metabolite from glucose, ascorbate, was elevated only in DNP, compared to healthy control. The multivariate model of OPLS-DA clearly showed the group separation between healthy control-DNP and healthy control-Diabetes. The most significant metabolites that contributed the group separation included glucose, citrate, ascorbate, and lactate. Lactate did not show the statistical significance of change in t-test while it tends to down-regulated both in DNP and Diabetes. We also conducted the ROC curve analysis to make a multivariate model for discrimination of healthy control and diseases with the identified three metabolites. As a result, the discrimination model between healthy control and DNP (or Diabetes) was successful while the model between DNP and Diabetes was not satisfactory for discrimination. In addition, multiple combinations of lactate and citrate in the OPLS-DA model of healthy control and diabetes group (DNP + Diabetes patients) gave good ROC value of 0.952, which imply these two metabolites could be used for diagnosis of Diabetes without glucose information.

• Journal of Ginseng Research
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• 제37권3호
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• pp.341-348
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• 2013

Identification of the origins of Panax ginseng has been issued in Korea scientifically and economically. We describe a metabolomics approach used for discrimination and prediction of ginseng roots from different origins in Korea. The fresh ginseng roots from six ginseng cooperative associations (Gangwon, Gaeseong, Punggi, Chungbuk, Jeonbuk, and Anseong) were analyzed by UPLC-MS-based approach combined with orthogonal projections to latent structure-discriminant analysis multivariate analysis. The ginsengs from Gangwon and Gaeseong were easily differentiated. We further analyzed the metabolomics results in subgroups. Punggi, Chungbuk, Jeonbuk, and Anseong ginseng could be easily differentiated by the first two orthogonal components. As a validation of the discrimination model, we performed blind prediction tests of sample origins using an external test set. Our model predicted their geographical origins as 99.7% probability. The robust discriminatory power and statistical validity of our method suggest its general applicability for determining the origins of P. ginseng samples.

• Water Engineering Research
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• 제6권2호
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• pp.73-89
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• 2005

Two kinds of high resolution GCMs with the same spatial resolutions but with different schemes run by domestic and foreign agencies are used to clarify the usefulness and sensitivity of GCM for water resources applications for Korea. One is AMIP-II (Atmospheric Model Intercomparison Project-II) type GCM simulation results done by ECMWF (European Centre for Medium-Range Weather Forecasts) and the other one is AMIP-I type GCM simulation results done by METRI (Korean Meteorological Research Institute). Observed mean areal precipitation, temperature, and discharge values on 7 major river basins were used for target variables. Monte Carlo simulation was used to establish the significance of the estimator values. Sensitivity analyses were done in accordance with the proposed ways. Through the various tests, discrimination condition is sensitive for the distribution of the data. Window size is sensitive for the data variation and the area of the basins. Discrimination abilities of each nodal value affects on the correct association. In addition to theses sensitivity analyses results, we also noticed some characteristics of each GCM. For Korean water resources, monthly and small window setting analyses are recommended using GCMs.

• Asia Marketing Journal
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• 제12권2호
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• pp.135-154
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• 2010

이 연구는 교체비용이 존재하는 상황에서 복점기업간 경쟁을 다룬다. 분석에서는 일시적 가격할인 현상이 순수전략균형(Pure Strategy Equilibrium)의 결과일 수 있음을 보인다. 이는 기존 대다수 연구들에서 일시적 가격할인 현상을 혼합전략균형(Mixed Strategy Equilibrium)의 결과로 해석해왔던 것과 구별된다. 본 연구에서 구해진 일시적 가격할인의 순수전략균형 하에서 기업들은 정규가격만을 제공하는 경우보다 높은 이윤을 얻게 되며, 이러한 현상은 일시적 가격할인이 충성가입자와 비충성 가입자간 가격차별의 역할을 수행하는 것에 기인한다. 한편 본 연구에서는 기업들이 정규가격과 할인가격을 적절히 조정함으로써 충성가입자들의 수를 통제할 수 있음을 가정하고 있다. 이를 통해 기업들은 정규가격 수준을 일정 수준 이상으로 유지함으로써 충성가입자들의 수를 지나치게 늘리지 않으려는 유인이 있음을 보인다.