• Journal of Korean Library and Information Science Society
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• v.39 no.2
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• pp.493-514
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• 2008

The paper analyzes local children's libraries' status of application of classification scheme and problems and difficulties in its application in order to be used as basic material for development of classification scheme for exclusive use of children's libraries. Through survey, the paper researched 96 local children's libraries, and the results showed that KDC-applied libraries numbered 53 and were the highest, libraries which developed their own classification scheme numbered 22, and libraries which applied classification scheme for children's library numbered 13. Further, many asserted that there needs to be a development of standard classification scheme to be used in children's library. On problems and difficulties in applying classification scheme, notes such as difficulty of accommodating various forms of children's books(such as comic books and picture books), placing too much emphasis on collection of books on certain topic, and lack of topic categories appropriate for characteristics of collected books were voiced, and by holding additional discussion on these, the paper raised the usefulness of the dissertation to be used as basic materials for developing classification scheme for exclusive use of children's library in the future.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.29-34
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• 2002

Fingerprint recognition technology was studied by classification and matching. In general, there are five different classifications left loop, right loop, whore, arch, and tented-arch. These classifications are used to determine which class an individual's fingerprint belong to, thereby identifying the individual's fingerprint pattern. The result of this classification, which is sent to the large fingerprint database as an index, helps reduce the matching time and enhance the accuracy of fingerprint matching. The existing fingerprint classification method relies on the number and location of cores and delta points called singular points. The drawback of this method is the lack of accuracy stemming from the classification difficulty involving unclear and/or partially-erased fingerprints. The current paper presents an efficient classification method to rectify the problem associated with identifying Singular points from unclear fingerprints. This method, which is based on Gabor filter's unique characteristics for magnifying directional patterns and frequency range selections, improves fingerprint classification accuracy significantly. In this paper, this method is described and its test result is presented for verification.

• Korean Journal of Clinical Pharmacy
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• v.25 no.1
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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.

• The Mathematical Education
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• v.57 no.2
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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.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.764-772
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• 2003

The main thrust of our talk will be based on our experience in developing and applying an attribute-based classification technique in the context of an operational answer set driven retrieval system. To alleviate the difficulty and reduce the cost of manually constructing and maintaining answer sets, i.e., knowledge base, we have devised a new method of automating the answer document selection process by using the notion of attribute-based classification, which is in and of itself novel. We attempt to explain through experiments how helpful the proposed method is for the knowledge base construction process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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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.

• The Journal of Information Systems
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• v.26 no.3
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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.

• Journal of Haehwa Medicine
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• v.9 no.1
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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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• v.49 no.1
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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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• v.10 no.1_2
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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.