• 동의신경정신과학회지
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• 제8권2호
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• pp.85-95
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• 1997

After performing the auricular acupuncture therapy for the functional headache, we came to gain the following therapy effects. 1. In the whole of the patients of the functional headache, housewives of forties were most of all. 2. In the classification of mordern medicine on the patients of the functional headache, muscular contractional headache was most of all and in the classification of oriental differentiation of symtoms and signs(辨證), headache due to deficiency of blood(血虛頭痛) was most of all. 3. In the regional auricular acupuncture therapy for the functonal headache, Taiyang of auricular point(太陽點) had an effect on the lateral headache around the area of Taiyang of auricular point(太陽點) though the actions of sedation, analgesia, Neck of auricular point(頸點) had an effect on the muscular contractional headache of the occipital region, and Stomach of auricular point(胃點) had an effect on the headache of stagnation of phlegm(痰濁頭痛) of anterior region with a chronic digestive disease. 4. The average treatment times of the auricular acupuncture therapy in the patients of the functional headache was 4.08 times, if we have them take auricular acupuncture therapy about 4 times it could be thought to take excellent effect of treatment. 5. The effect of auricular acupuncture therapy for functional headache was turned out to be effective in the following orders ; lateral region(Group A), occipital region(Group B), anterior region(group C). Through the clinical consequences of therapy mentioned above, we came to confirm regular therapeuric effects and hereafter, it is considered that a clinical comparative study on oriental cure and auricular acupuncture therapy for headache has to be more progressed than now.

• 펄프종이기술
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• 제48권1호
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• pp.34-42
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• 2016

In this study, we classified three copying papers and Korean, Chinese, and Japanese traditional papers using IR and/or NIR spectra and principal component analysis. Various chemicals are used when producing fine papers. In this case, the IR method to analyze functional groups is suitable for the classification of paper. On the other hand, NIR analysis is more suitable for the classification of traditional papers, as it uses nearly raw materials (pulp). Therefore, principal component analysis using IR and NIR depending on the paper production process will be the classification tool of paper.

• 기록학연구
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• 제37호
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• pp.189-237
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• 2013

표준 기록관리시스템(이하 RMS)이 2007년 중앙행정기관의 도입을 시작으로 현재 지방자치단체, 그 밖의 공공기관에도 도입되어 사용되고 있다. RMS는 전자기록환경에서 기록을 관리하기 위한 필수도구이나, 실제 RMS의 기능들이 표준이나 실무를 잘 반영하고 있는지, 얼마만큼 업무에 활용되고 있는지는 잘 알려져 있지 않다. 본 연구는 이러한 문제의식에서 출발하여, 기록관리시스템에 구현된 기능 중 '기준관리'에 대한 평가와 그 의미를 분석하고자 하였다. '기준관리'는 RMS상 기록관리기준표 기준정보관리 분류체계지정 재분류로 구성되어 있는데, 이것은 기록관리기준표 관리와 관련된, 다시 말해 기록의 분류와 처분일정의 영역이다. 분류와 처분일정은 기록에 대한 지적 통제의 중심이자 기록관리의 핵심영역이므로, 이것이 시스템에서 그 역할을 제대로 하고 있는지 분석하는 것은 중요한 일이다. 본 연구에서는 RMS의 기준관리에 대하여 기능 평가와 이용 평가를 함께 실시하였다. 기능 평가는 국내외 표준에서 제시하는 기능요건을 RMS가 얼마나 구현하고 있는지를 비교분석한 것이다. 그리고 이용 평가는 그러한 기능들을 얼마만큼 실제로 사용하고 있는지, 문제점은 무엇인지 진단한 것이다. 중앙행정기관과 광역 및 기초 지자체를 대상으로 실시한 이러한 평가를 통해 얻은 시사점들을 제도적, 기능 이용적, 행정적 측면으로 구분하여 정리하였다. RMS 기준관리 기능이, 더 나아가 RMS 시스템 전체가 기록관리 실무에서 원활하게 사용되기 위해 중요한 것은 사용자를 비롯한 이해당사자들의 소통임이 연구과정에서 드러났다. 사용자들은 RMS를 이용하면서 발생하는 요구사항을 지속적으로 제기하여야 하며, 중앙기록물관리기관은 그들의 요구사항을 분석 파악하고 이를 시스템에 반영하여, 시스템을 고도화 시키고 개선하는데 많은 노력을 하여야 한다.

• The Journal of Korean Physical Therapy
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• 제28권1호
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• pp.22-26
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• 2016

Purpose: The purpose of this study was to evaluate the relation between PBS scores and GMFCS levels and to examine whether pediatric balance scale (PBS) scores were useful for predicting gross motor functional classification system (GMFCS) levels in children with cerebral palsy. Methods: This cross-sectional study was performed conducted for to evaluatione of PBS and GMFCS using in 26 children with cerebral palsy (16 males and 10 females with GMFCS level I to III). PBS total and item scores at different levels of GMFCS were measured. Results: The hHigh PBS item average scores obtained from standing and postural change dimensions except sitting dimension were observed at the low levels of GMFCS and these results were statistically significant (p<0.05). The relation between PBS (standing and postural change dimensions) and GMFCS levels were was significantly different, except the relation between PBS sitting dimension and GMFCS levels showing a ceiling effect. Conclusion: GMFCS is designed to for classificationy of gross motor functions emphasizing on walking movement and PBS is was developed to for evaluatione of functional balance. Based on the results of this study showing high relation between GMFCS levels and PBS scores, PBS scores can be used for predicting GMFCS levels.

• 스마트미디어저널
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• 제13권4호
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• pp.86-93
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• 2024

기능적 자기 공명영상(functional magnetic resonance imaging;fMRI)의 발전은 뇌 기능의 매핑, 휴식 상태에서 뇌 네트워크의 이해에 상당한 기여를 하였다. 본 논문은 알츠하이머의 진행상태를 분류하기 위해 CNN-LSTM 기반의 분류 모델을 제안한다. 첫 번째로 특징 추출 이전 fMRI 데이터에서 잡음을 제거하기 위해 4단계의 전처리를 수행한다. 두 번째, 전처리가 끝나면 U-Net 구조를 활용하여 공간적 특징을 추출한다. 세 번째, 추출된 공간적 특징은 LSTM을 활용하여 시간적 특징을 추출하여 최종적으로 분류하는 과정을 거친다. 실험은 데이터의 시간차원을 조절하여 진행하였다. 5-fold 교차 검증을 사용하여 평균 96.4%의 정확도를 달성하였고 이러한 결과는 제안된 방법이 fMRI 데이터를 분석하여 알츠하이머의 진행을 식별하는데 높은 잠재력을 가지고 있음을 보여준다.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권7호
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• pp.350-353
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• 2001

In general, the Least Square Error method is used for signal classification to measure distance in the $l^2$ metric or the $L^2$ metric space. A defect of the Least Square Error method is that it does not classify properly some waveforms, which is due to the property of the Least Square Error method: the global analysis. This paper proposes a new linear operator, the Integra-Normalizer, that removes the problem. The Integra-Normalizer possesses excellent property that measures the degree of relative similarity between signals by expanding the functional space with removing the restriction on the functional space inherited by the Least Square Error method. The Integra-Normalizer shows superiority to the Least Square Error method in measuring the relative similarity among one dimensional waveforms.

• International Journal of Contents
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• 제8권4호
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• pp.56-63
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• 2012

In recent decades, analyzing the activities of human brain achieved some accomplishments by using the functional Magnetic Resonance Imaging (fMRI) technique. fMRI data provide a sequence of three-dimensional images related to human brain's activity which can be used to detect instantaneous cognitive states by applying machine learning methods. In this paper, we propose a new approach for distinguishing human's cognitive states such as "observing a picture" versus "reading a sentence" and "reading an affirmative sentence" versus "reading a negative sentence". Since fMRI data are high dimensional (about 100,000 features in each sample), extremely sparse and noisy, feature selection is a very important step for increasing classification accuracy and reducing processing time. We used the Fisher Discriminant Ratio to select the most powerful discriminative features from some Regions of Interest (ROIs). The experimental results showed that our approach achieved the best performance compared to other feature extraction methods with the average accuracy approximately 95.83% for the first study and 99.5% for the second study.

• 전자공학회논문지B
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• 제31B권6호
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• pp.10-16
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• 1994

In case of off-line character recognition with statistical method, the character recognition speed for Korean or Chinese characters is slow since the amount of calculation is huge. To improve this problem, we seperate the recognition steps into several functional stages and implement them with hardwares for each stage so that all the stages can be processed with pipline structure. In accordance with temporal parallel processing, a high speed character recognition system can be implemented. In this paper, we implement a classification hardware, which is one of the several functional stages, to improve the speed by parallel structure with multiple DSPs(Digital Signal Processors). Also, it is designed to be able to expand DSP boards in parallel to make processing faster as much as we wish. We implement the hardware as an add-on board in IBM-PC, and the result of experiment is that it can process about 47-times and 71-times faster with 2 DSPs and 3 DSPs respectively than the IBM-PC(486D$\times$2-66MHz). The effectiveness is proved by developing a high speed OCR(Optical Character Recognizer).

• 한국토양비료학회지
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• 제42권별호
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• pp.5-27
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• 2009

• 한국조경학회지
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• 제30권6호
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• pp.128-140
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• 2003

The purpose of this research was to present characteristics for the classification of biotopes and classification method of biotopes as basic data for ecological landscape planning in Metropolitan Daegu. The results of this study were as follows. 1) The study identified fifteen characteristics for classification of biotopes. Ecological landscape characteristics were divided into structural and functional factors. There are six structural factors such an inclination, and nine functional factors such as temperature. 2) The study area was separated into sixty eight biotope types. For example, an industrial district was divided into two biotope types: a biotope type of an industrial district with abundant green space, and a biotope type of an industrial district with scarce green space. 3) In the result of cluster analysis using the average linkage method between groups, biotope groups were divided into fifteen clusters and biotope groups were divided into seven clusters. Each cluster was named according to the features of a descriptive statistics analysis. For example, cluster 8 was identified as a biotope type with an impermeable pavement rate of more than 90 percent and an afforestation rate under 10 percent. 4) Fifteen biotope groups were converted to land use patterns for remote application and utilization of urban biotope in city planning. Biotope groups of a building area beyond an intermediate floor with an afforestation rate under 20-30 percent was converted to a land use pattern such as a tall apartment complex or commercial district. When examining the characteristics that were established in this research, there was a limit to achieve the objective of grade-classification because of a lack of related basic data. The research of landscape ecological characteristics for the classification of biotopes could not be completed due to a lack of time and resources, thus the study of ecological landscape characteristics will be accomplished over time.