• 한국도서관정보학회지
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• 제39권2호
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• pp.493-514
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• 2008

이 연구는 어린이도서관 전용 분류표 개발을 위한 기초자료로 활용하기 위해 국내 어린이도서관의 분류표 적용 현황 및 적용상의 문제점과 어려움을 분석하였다. 설문조사를 통해 국내 96개관의 어린이도서관을 조사해본 결과, KDC 적용 도서관이 53개관으로 가장 많았으며 자관분류표 개발 도서관이 22개관 어린이도서관 분류표 적용 도서관이 13개관으로 나타났다. 또한 어린이도서관에서 표준으로 사용될 수 있는 분류표가 개발되어야 한다는 의견이 높게 조사되었다. 분류표적용상의 문제점과 어려움에 대해서는 만화와 그림책과 같은 어린이도서의 여러 형태를 수용하기 어려운 점, 특정 주제에 장서가 편중되는 점, 장서 성격에 맞는 주제 항목이 부족한 점등이 제기되었으며, 이에 대한 추가적인 논의를 통해 향후 어린이도서관 전용 분류표 개발을 위한 기초자료로 활용될 수 있도록 하였다.

• 정보처리학회논문지B
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• 제9B권1호
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• pp.29-34
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• 2002

지문인식 분야는 크게 지문의 분류(classification)와 정합(matching)으로 연구되고 있다. 분류는 일반적으로 좌제상문, 우제상문, 와상문, 궁상문, 솟은궁상문 등 크게 5종류로 나누며, 특정인의 지문이 어떤 분류에 속하는 지를 결정하는 것은 대형지문 데이터베이스에서 인덱스로 사용하여 매칭 시간의 단축과 정확도를 높여 주는데 있다. 기존의 지문분류는 특이점이라 불리는 핵과 삼각점의 개수 및 위치에 의한 분류방법이 주를 이루고 있는데, 이러한 방법은 지문분류의 정확성이 떨어지고, 특히 품질이 나쁜 지문이나 부분지문 등에서는 분류가 어려워 정확성이 더욱 떨어지는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해서, 품질이 나쁜 지문이나 부분지문가지도 방향성과 주파수 선택력이 강한 Gabor 필터의 특징을 이용하여 지문분류의 정확성을 향상시킬 수 있는 효율적인 방법을 제안하고 실험을 통하여 이를 증명하고자 한다.

• 한국임상약학회지
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• 제25권1호
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• pp.27-33
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• 2015

Background: Since November 2012, some of over-the-counter (OTC) medications have been sold in convenience store without pharmacist' s supervision. We purposed to examine if the product labels of OTCs provide sufficient information that is appropriate for consumers who may have low health literacy. Methods: We compared the difficulty of words that are utilized in pharmaceutical product labels of interest (intervention) with those in the $6^{th}$ grade textbook (control). Pharmaceutical products of interest were comprised of 13 OTCs which have been sold currently in convenience stores. We grouped words into the 4 levels of difficulty based on the Korean Vocabulary Classification for Education, and statistically tested words frequency in each level between OTCs and control. Results: The 13 OTC labels included lay language (easier or equal to language used in primary school) about 10% less; professional language about 10% more (p < 0.001 in all). Labels for analgesics had the longest and most difficult information, followed by common cold preparations, muscle pain relievers as plaster or cataplasma and digestives. Conclusion: The 13 OTC labels might fail to provide appropriate information for safety use by consumers in terms of the difficulty level of words. The improvement of labels of OTC medications and consumer education strategies are called for safety use of OTC medications sold in convenience stores.

• 한국수학교육학회지시리즈A:수학교육
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• 제57권2호
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• pp.111-136
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• 2018

This study suggests a framework for analyzing items based on the characteristics, and shows the relationship among the characteristics, difficulty, percentage of correct answers, academic achievement and the actual mathematical problem solving competency. Three mathematics educators' classification of 30 items of Mathematics 'Ga' type, on 2017 College Scholastic Ability Test, and the responses given by 148 high school students on the survey examining mathematical problem solving competency were statistically analyzed. The results show that there are only few items satisfying the characteristics for mathematical problem solving competency, and students feel ill-defined and non-routine items difficult, but in actual percentage of correct answers, routineness alone has an effect. For the items satisfying the characteristics, low-achieving group has difficulty in understanding problem, and low and intermediate-achieving group have difficulty in mathematical modelling. The findings can suggest criteria for mathematics teachers to use when developing mathematics questions evaluating problem solving competency.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권7_8호
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• pp.764-772
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• 2003

본 논문에서는 사용자에게 보다 유용한 정보를 제공하기 위하여 개념의 활용분야에 따른 속성 분류 기법이라는 새로운 분류 기법을 제안하고, 이를 활용해 정답문서집합 지식베이스를 자동으로 구축하는 방안을 제시한다. 제안된 방법은 범주간의 구분이 유동적인 속성의 특성을 반영하기 위하여 속성 특징(clue)을 활용함으로써 분류 정확도를 높이고, 개념망에 정의된 개념들 사이의 관계를 참조함으로써 지식베이스를 구축하기 위한 노력과 비용을 최소화하여 점진적인 분류기 생성을 가능하게 한다. 실험을 통해 제안된 방법의 정확도와 효율성을 입증하였으며, 정답문서기반 정보검색 시스템을 위한 정답문서집합 구축과정에 적용시킨 결과를 제시함으로써 방법의 실제 효용성을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4028-4042
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• 2021

Aiming at the problem of software defect prediction difficulty caused by insufficient software defect marker samples and unbalanced classification, a semi-supervised software defect prediction model based on a tri-training algorithm was proposed by combining feature normalization, over-sampling technology, and a Tri-training algorithm. First, the feature normalization method is used to smooth the feature data to eliminate the influence of too large or too small feature values on the model's classification performance. Secondly, the oversampling method is used to expand and sample the data, which solves the unbalanced classification of labelled samples. Finally, the Tri-training algorithm performs machine learning on the training samples and establishes a defect prediction model. The novelty of this model is that it can effectively combine feature normalization, oversampling techniques, and the Tri-training algorithm to solve both the under-labelled sample and class imbalance problems. Simulation experiments using the NASA software defect prediction dataset show that the proposed method outperforms four existing supervised and semi-supervised learning in terms of Precision, Recall, and F-Measure values.

• 한국정보시스템학회지:정보시스템연구
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• 제26권3호
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• pp.273-293
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• 2017

Purpose The purpose of this study is to introduce a framework that helps Muslims to determine whether a food can be consumed. It can complement existing Halal food classification services having a difficulty of constructing Halal food database. Design/methodology/approach The proposed framework includes two components. First, OCR(Optical Character Recognition) technique is utilized to read the food additive information. Second, machine learning methods were used to trained and predicted to determine whether a food can be consumed using the provided information. Findings Among the compared machine learning methods, SVM(Support Vector Machine), DT(Decision Tree), and NB(Naive Bayes), SVM with linear kernel and DT had excellent performance in the Halal food classification. The framework which adopting the proposed framework will enhance the tourism experiences of Muslim tourists who consider keeping the Islamic law most importantly. Furthermore, it can eventually contribute to the enhancement of smart tourism ecosystem.

• 혜화의학회지
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• 제9권1호
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• pp.443-459
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• 2000

The Literatural Study on the classification of cause and the effect of Acupuncture and Moxibustion treatment for Youk Jeol Poung was studied from the viewpoint of therapeutic acupuncture and moxibustion effect. And the results were as follows: 1. Youk Jeol Poung is similar to Tong Bi, Ju Bi, Haeng Bi, Tong Poung. 2. The symptoms of Youk Jeol Poung are pain and weakness, difficulty of flexion, swelling and pain, severe pain etc., at night pain is more severe. 3. The cause, mechanism of Youk Jeol Poung is as follow, due to penetration of the wind, cold, moisture, uder situation of whole body is pain. 4. The main treatment is invigorate vital energy and blood, expel wind - evil, promote diuresis, eliminating phlegm, promote blood circulation, cold, heat - clearing. 5. The basal meridian of acupuncture and moxibustion treatment were the channels of Su Jok Sam Yang.

• Journal of Korean Neurosurgical Society
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• 제49권1호
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• pp.71-74
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• 2011

A 34-year-old female patient was presented with leg and hip pain for 6 months as well as voiding difficulty for 1 year. Magnetic resonance imaging revealed a well-demarcated mass lesion at L2-3. The mass was hypo-intense on T1- and T2-weighted images with homogeneous gadolinium enhancement. Surgery was performed with the presumptive diagnosis of intradural extramedullary meningioma. Complete tumor removal was possible due to lack of dural adhesion of the tumor. Histologic diagnosis was clear cell meningioma, a rare and newly included World Health Organization classification of meningioma usually affecting younger patients. During postoperative 2 years, the patient has shown no evidence of recurrence. We report a rare case of cauda equina clear cell meningioma without any dural attachment.

• Journal of Plant Biology
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• 제10권1_2호
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• pp.3-20
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• 1967

1. Comparative studies, the number, form and pattern of ramification, on the petiole stele types of 3 orders, 11 families, 41 genera and 104 species of ferns found in Korea were carried out. 2. The number, form and pattern of the ramified steles were found to be different according to the taxa studied. 3. The stele types of petiole may be classified as unibranch, bibranch, tribranch, and polybranch. The species belonging to each stele type were found to have similar embyrological characteristics among them. Therefore, it might be reasonable to assume that the stele type can be used as a basis for classifing family lines. 4. The number of ramified steles in the petiole were found to be in general agreement with that of the leaf traces, though a few exceptional cases were found. 5. It is well known that there is a large degree of disgreement among the taxanomists on the classification of ferns. The classification of ferns by means of petiole stele types may ease this difficulty in certain extent.