해외 고등학교 - 네덜란드 고등교육의 현안과 이슈, 볼로냐 프로세스 10년

최윤정,Choi, Yun-Jeong 한국대학교육협의회 2009 大學敎育 Vol.161 No.-

상향식 계층분류의 최적화 된 병합을 위한 후처리분석과 피드백 알고리즘

최윤정,박승수,Choi, Yun-Jeong,Park, Seung-Soo 한국정보처리학회 2010 정보처리학회논문지B Vol.17 No.2

본 논문은 자동화된 분류시스템의 성능향상을 위한 것으로 오분류율이 높은 불확실성이 강한 문서들의 범주결정방식을 개선하기 위한 후처리분석 방법과 피드백 알고리즘을 제안한다. 전통적인 분류시스템에서 분류의 정확성을 결정하는 요인으로 학습방법과 분류모델, 그리고 데이터의 특성을 들 수 있다. 특성들이 일부 공유되어 있거나 다의적인 특성들이 풍부한 문서들의 분류문제는 정형화된 데이터들에서 보다 심화된 분석과정이 요구된다. 특히 단순히 최상위 항목으로 지정하는 기존의 결정방법이 분류의 정확도를 저하시키는 직접적인 요인이 되므로 학습방법의 개선과 함께 분류모델을 적용한 이후의 결과 값인 순위정보 리스트의 관계를 분석하는 작업이 필요하다. 본 연구에서는 경계범주의 자동탐색기법으로 확장된 학습체계를 제안한 이전 연구의 후속작업으로써, 최종 범주를 결정하기까지의 후처리분석 방법과 이전의 학습단계로 피드백하여 신뢰성을 높일 수 있는 알고리즘을 제안하고 있다. 실험결과에서는 제안된 범주결정방식을 적용한 후 1회의 피드백을 수행하였을 때의 결과들을 단계적이고 종합적으로 분석함으로써 본 연구의 타당성과 정확성을 보인다. This paper shows a reinforcement post-processing method and feedback algorithm for improvement of assigning method in classification. Especially, we focused on complex documents that are generally considered to be hard to classify. A basis factors in traditional classification system are training methodology, classification models and features of documents. The classification problem of the documents containing shared features and multiple meanings, should be deeply mined or analyzed than general formatted data. To address the problems of these document, we proposed a method to expand classification scheme using decision boundary detected automatically in our previous studies. The assigning method that a document simply decides to the top ranked category, is a main factor that we focus on. In this paper, we propose a post-processing method and feedback algorithm to analyze the relevance of ranked list. In experiments, we applied our post-processing method and one time feedback algorithm to complex documents. The experimental results show that our system does not need to change the classification algorithm itself to improve the accuracy and flexibility.

백내장이 동반된 녹내장 환자에서 수정체유화섬유주절제술과 섬유절제술의 치료효과 비교

최윤정,DouglasJ,Rhee,최규룡,Yun Jeong Choi,Douglas J,Rhee,Kyu-Ryong Choi 대한안과학회 2011 대한안과학회지 Vol.52 No.11

Purpose: To compare the treatment outcome and complications of phacotrabeculectomy and trabeculectomy in patients with glaucoma and cataracts. Methods: The authors of the present study retrospectively reviewed the records of 56 eyes that underwent phacotrabeculectomy and trabeculectomy with mitomycin-C between March 2006 and December 2009 in patients with glaucoma and cataracts. The change of intraocular pressure (IOP) and number of glaucoma medications up to 24 months postoperatively were compared and the treatment failure rate as well as postoperative complications analyzed. Results: IOP and number of glaucoma medications at 24 months after surgery were similar in the 2 groups. Additionally, both groups showed a significant decrease in IOP and number of glaucoma medications after surgery. The cumulative failure rates, frequency and distribution of postoperative complications were also similar in both groups and conjunctival bleb leak was the most common complication. Conclusions: Both phacotrabeculectomy and trabeculectomy showed long-term IOP reduction and a similar failure rate and complications. Therefore, both can be considered as a primary surgical treatment in patients with glaucoma and cataracts. In patients who need strict IOP control, trabeculectomy can be preferentially considered. If patients have visually significant cataracts or greater visual needs, phacotrabeculectomy can be considered. J Korean Ophthalmol Soc 2011;52(11):1308-1317

경계범주 자동탐색에 의한 확장된 학습체계 구성방법

최윤정,지정규,박승수,Choi, Yun-Jeong,Jee, Jeong-Gyu,Park, Seung-Soo 한국정보처리학회 2009 정보처리학회논문지B Vol.16 No.6

본 논문은 기존의 목표항목만을 위주로 한 학습체계에서 발생하는 오분류 문제의 해결을 위해 기존의 학습체계에 경계항목을 자동으로 탐 색하여 포함시켜 확대시키는 방법을 제안하고 있다. 여러 주제에 걸쳐 다양한 내용을 다루는 복잡한 문서들은 확실히 어느 범주로 분류해야 할 지 판가름하기 어려운 성질인 모호성이 강하다. 이러한 경우 모든 경우들을 정확히 구분할 수 있는 최적의 경계를 찾는 일은 더욱 어려운 일이 다. 복잡하고 불확실성이 높은 데이터들의 특징은 대부분 분류 경계영역에 위치하므로 이러한 분류경계의 데이터들을 새로운 학습 항목으로 인 식시키도록 하는 것이 필요하다. 본 연구에서는 주어진 목표항목 사이의 경계항목을 자동으로 탐색하여 학습체계에 추가하는 학습 체계 확장 알고리즘을 제시하고, 의도적인 학습오류를 발생시킨 후 기존방법과의 비교실험을 수행함으로써 제안방법의 정확성과 안정성을 비교하였다. 실 험결과 경계범주를 포함하여 학습 체계를 확장시켰을 때의 예측력은 기존 0.70에서 0.86으로 약 24% 향상 되었고, 오류를 포함시켰을 때의 예 측력은 기존 0.52에서 0.79로 약 49% 향상되었다. This paper shows a reinforced construction scheme of training data for improvement of text classification by automatic search of boundary category. The documents laid on boundary area are usually misclassified as they are including multiple topics and features. which is the main factor that we focus on. In this paper, we propose an automated exploring methodology of optimal boundary category based on previous research. We consider the boundary area among target categories to new category to be required training, which are then added to the target category sementically. In experiments, we applied our method to complex documents by intentionally making errors in training process. The experimental results show that our system has high accuracy and reliability in noisy environment.

클라미디아 시타시에 의한 비전형 유두 각결막염 1예

최윤정,전루민,Yun Jeong Choi,Roo Min Jun 대한안과학회 2010 대한안과학회지 Vol.51 No.4

Purpose: Only a few cases of keratoconjunctivitis caused by Chlamydophila psittaci have been reported worldwide, and no case reported in Korea. We report an atypical case of keratoconjunctivitis caused by Chlamydophila psittaci. Case summary: A 34-year-old male patient who had raised a parrot at home presented with three weeks of conjunctival injection and a week of ocular pain in his left eye. There were papillae on the left upper and lower tarsal conjunctiva and punctuate epithelial erosion of the entire cornea. He also complained of dizziness, fever, and dyspnea. Upon chest X-ray, consolidation on the right middle lobe was apparent. The Chlamydophila IgM antibody test was positive, and the pneumonia improved quickly. Nevertheless, signs of keratoconjunctivitis persisted despite 3-week treatment with oral doxycycline. As a result, the patient received an additional 10-day treatment with oral azithromycin. Four weeks after the first visit, symptoms were improving gradually, and, after six weeks, no signs of keratoconjunctivitis remained except minimal erosion. Conclusions: When patients show keratoconjunctivitis after contact with a bird, prolonged ketatoconjunctivitis by Chlamydophila psittaci should be considered. J Korean Ophthalmol Soc 2010;51(4):611-615

학습방법개선과 후처리 분석을 이용한 자동문서분류의 성능향상 방법

최윤정,박승수,Choi, Yun-Jeong,Park, Seung-Soo 한국정보처리학회 2005 정보처리학회논문지B Vol.12 No.7

자동문서분류는 문서의 내용에 기반하여 미리 정의된 항목에 자동으로 할당하는 작업으로서 효율적인 정보관리 및 검색등에 필수적인 작업이다. 기존의 문서분류성능 향상을 위한 연구들은 대부분 분류모델 자체를 개선시키는 데 주력해왔으며 통계적인 방법으로 그 범위가 제한되어왔다. 본 연구에서는 자동문서분류의 성능향상을 위해 데이터마이닝 기법과 결함허용방법을 이용하는 개선된 학습알고리즘과 후처 리 방법에 의한 RTPost 시스템을 제안한다. RTPost 시스템은 학습문서 선택작업 이전에 분류항목 설정의 문제를 다루며, 분류함수의 성능보다는 지정방식의 문제점을 감안하여 학습과 분류 후처리 프로세스를 개선하려는 것이다. 이를 통해 분류결과에 중요한 영향을 미쳐왔던 학습문서의 수와 선택방법, 분류모델의 성능등에 의존하지 않는 안정적인 분류가 가능하였고, 이를 분류오류율이 높은 경계선 인접영역에 위치한 문서들에 적용한 결과 높은 정확율을 얻을 수 있었다. 뿐만 아니라, RTPost 프로세스를 진행하는 동안 능동학습방법의 장점을 수용하여 학습효과는 높이며 비용을 감소시킬 수 있는 자가학습방법(self learning)방법의 효과를 기대할 수 있다. Automated text categorization is to classify free text documents into predefined categories automatically and whose main goals is to reduce considerable manual process required to the task. The researches to improving the text categorization performance(efficiency) in recent years, focused on enhancing existing classification models and algorithms itself, but, whose range had been limited by feature based statistical methodology. In this paper, we propose RTPost system of different style from i.ny traditional method, which takes fault tolerant system approach and data mining strategy. The 2 important parts of RTPost system are reinforcement training and post-processing part. First, the main point of training method deals with the problem of defining category to be classified before selecting training sample documents. And post-processing method deals with the problem of assigning category, not performance of classification algorithms. In experiments, we applied our system to documents getting low classification accuracy which were laid on a decision boundary nearby. Through the experiments, we shows that our system has high accuracy and stability in actual conditions. It wholly did not depend on some variables which are important influence to classification power such as number of training documents, selection problem and performance of classification algorithms. In addition, we can expect self learning effect which decrease the training cost and increase the training power with employing active learning advantage.

시료 희석 직접 주입 LC-MS/MS를 이용한 법화학 수용액 시료 중 카페인 신속 분석

최윤정,김희승,인문교,김진영,Choi, Yun Jeong,Kim, Hee Seung,In, Moon Kyo,Kim, Jin Young 대한약학회 2016 약학회지 Vol.60 No.3

A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated for the determination of caffeine in forensic aqueous sample. The centrifuged sample ($100{\mu}l$) was diluted 50-fold with distilled water. The diluted sample ($400{\mu}l$) was then diluted further with $200{\mu}l$ of 0.1% formic acid solution and $400{\mu}l$ of acetonitrile containing 500 ng of caffeine-(3-methyl-$^{13}C_3$) prior to LC-MS/MS analysis. The mobile phase was composed of 0.1% formic acid in distilled water (A) and acetonitrile (B). Chromatographic separation was performed by using a Zorbax SB-C18 ($100mm{\times}2.1mm$ i.d., $3.5{\mu}m$) column and caffeine was eluted within 1.1 min. Linear least-squares regression with a 1/x weighting factor was used to generate a calibration curve with the coefficients of determination ($r^2=0.9983$). The lower limit of quantification was $25ng/ml$ for the analyte. The process efficiency was 98.6~100.1%. Intra- and inter-day precisions were not more than 2.1% and 1.7%, while intra- and inter-day accuracies were ranged from -6.8 to 4.5%, respectively. The suitability of the method was examined by analyzing unknown forensic aqueous samples.

자료포락분석을 이용한 간호조직 성과관리: 문헌 분석과 활용 전략

임지영,고국진,이현희,박연홍,양인자,최윤정,Lim, Ji Young,Ko, Gug Jin,Lee, Hyun Hee,Park, Yeon Hong,Yang, In Ja,Choi, Yun Jeong 한국가정간호학회 2015 가정간호학회지 Vol.22 No.1

Purpose: The purpose of this study was to analyze nursing research using data envelopment analysis and suggest directions for future research. Methods: We established -criteria literature search. e reviewed 45 from RISS, KISS, National assembly library and NDSL DB. Data were collected on December 17, 2013. developed analytic framework of literature reviews using Yun's study. This framework had 8 items related to approach of data envelopment analysis. Results: literature established -criteria. Average numbers of input and output variables were 2.4 and 4.2, respectively. All selected research conducted efficiency analysis, analysis, and inefficiency analysis. However only 3 research. Conclusion: he results of studysuggest that data envelopment are needed to enhance efficiencies of nursing organization as follows individual nurse's profiling to develop customized performance management plans; patient centered nursing interventions; and financial performance financial reports.

조직몰입에 대한 개념분석

최윤정(Choi, Yun Jeong),박영임(Park, Young Im),정계현(Jung, Gye Hyun) 한국간호교육학회 2014 한국간호교육학회지 Vol.20 No.2

Purpose: The purpose of this study was to explore the clear concept of organizational commitment for effective nursing personnel management. Method: This study was conducted using Walker & Avant’s conceptual analysis framework(2005). Results: Organizational commitment was identified with six attributes: acknowledgment, acceptance, trust, sacrifice, attachment, regulation. Antecedents of organizational commitment were personal characteristics, perceived organizational support, empowerment, fair compensation, job satisfaction, job autonomy, organizational culture, and leadership. Consequences of organizational commitment were turnover intention, job performance and organizational citizenship behavior. Conclusion: Organization commitment is a core concept for understanding the management of nursing personnel. Appropriate instruments to operationalize the concept of organizational commitment including six attributes need to be developed.

RBBR 탈색능을 이용한 목재부후균의 선발 및 이들 균의 Laccase 효소활성

최윤정 ( Yun Jeong Choi ),신유수 ( Yoo Su Shin ),조남석 ( Nam Seok Cho ) 한국목재공학회 2006 목재공학 Vol.34 No.4