• The Journal of Pediatrics of Korean Medicine
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• v.26 no.2
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• pp.53-61
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• 2012

Objectives To make comprehensive feature of clinical trials using herbal medicine and their results by today, then help a strategy for herbal medication-derived clinical studies in the future. Methods Through medical website (Pubmed EBSCO Medline), foreign clinical literatures about atopic dermatitis and herbal medicine were searched. And domestic clinical literatures about atopic dermatitis using internet website (OASIS) and hand-searching. Analysis was performed according to distribution mainly by subject, study design, number by year and its efficacy. Results and Conclusions Seventy-nine (Domestic literatures: Fifty, Foreign literatures: Twenty-nine) literatures were selected according to inclusion criteria of clinical study. 80% of domestic clinical literatures were observational studies, 50% of foreign were intervention. There were six adverse effect case studies, two follow-ups, one case report, four translational and four uncontrolled clinical trials in foreign literatures. And nineteen case reports, eighteen case series, two follow-up and five uncontrolled clinical studies in domestic. Six RCTs have established by four external herb therapy and two decoctions in Korea, showed positive effects. Three out of four external applications RCTs, four out of seven decoctions showed positive results in foreign studies. This study revealed the current status of atopic dermatitis clinical research using herbal drugs. To put clinical trials to use of herbal medicine in the treatment atopic dermatitis, scientific and objective-based studies should be needed.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.29-32
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• 2008

In this paper, we propose one unsupervised classification technique using the degree of polarization (DoP) and the co-polarized phase-difference (CPD) statistics, instead of the entropy and alpha. It is shown that the DoP is closely related to the entropy, and the CPD to the alpha. The DoP explains the feature how much the effect of multiple reflections is contained. Hence, the DoP could be used as an important factor for classifying classes. The CPD can also be computed from the measured Mueller matrix elements. For the smooth surface scattering, the CPD is about $0^{\circ}$, and for dihedral-type scattering, the CPD is about $180^{\circ}$. A DoP-CPD diagram with appropriate boundaries between six different classes is developed based on the SAR image. The classification results are compared with the existing Entropy-alpha diagram as well as the IPL-AirSAR polarimetric data. The technique may have capability to classify an SAR image into six major classes; a bare surface, a village, a crown-layer short vegetation canopy, a trunk-layer short vegetation canopy, a crown-layer forest, and a trunk-dominated forest. Based on the DoP and CPD analysis, a simple three-component decomposition technique was also proposed.

• Journal of the Ergonomics Society of Korea
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• v.18 no.1
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• pp.13-24
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• 1999

The objective of the study is to discriminate EEG(electroencephalogram) due to emotional changes. Emotion was evoked by the series of auditory stimuli which were selected from the natural sounds in the sound effect collection of compact disc. Seventeen university students participated and experienced positive or negative emotions by six auditory stimuli with intermission between stimuli. Temporal EEG ($T_3$, $T_4$, $T_5$, and $T_6$) was recorded at the same time and a subjective test was performed on the eleven point scales after the experiment. The maximum and minimum scores of the EEG among six stimuli EEG were analyzed for discrimination of emotion. The EEG signals were transformed into feature objects based on scalar intervention model coefficients. Auditory stimulus was considered as intervention variable. They were classified by Discriminant Analysis for each channel. The features showed results with the best classification accuracy of 91.2 % in $T_4$ for auditory stimuli. This study could be extended to establish an algorithm which quantifies and classifies emotions evoked by auditory stimulus using time-series models.

• The Korean Journal of Zoology
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• v.33 no.2
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• pp.200-216
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• 1990

The complete larval development of Scopimera bitympana Shen was descdbed and mustrated from the larvae reared in the lahoratory. S bItympana had five, or occasionally six, zoeal and one megalopal stages. At $25^{\circ}C$, the megalopa and the first crab instar were attained in 24 and 38 days (31 and 48 days in six zoeal series) after hatching respectively. S.bitympana zoeae can be distinguished from other described zoeae in the genus by the toothed carapace spines and the telson with a dorsal and two ventral spines. Megalopa of this species can be distinguished from other ScopimeTa spedes by the feature of carapace. Other minor morphological features of S. bitympana larvae are compared to the previous descripdons of larvae of the genus and the morphological differences are briefly discussed.

• Journal of the Korean Society of Fashion and Beauty
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• v.3 no.2 s.2
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• pp.39-46
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• 2005

Art-Make-up has resulted in occupying one of the central areas of this culture. Art Make-up is currently undergoing various changes. The viewpoint of modern make-up is the infiniteness of emotion such as the subjectively individualized expressions and aesthetic values breaking with conventional thought. The most significant change is the idea of the 'grotesque'. The purpose of this research is to re-clarify the development of the diversity, professionalism and artistic feature through the study of Art make-up based on the 'grotesque' style. This also strives to focus attention at observing the deep and mysterious workings of the human inner world. In order to explain the features of 'grotesque' Art make-up, six images below are presented. Firstly, Inharmonious images. Secondly, disgusting inhuman images. Thirdly, mechanical images. Fourthly, distorted and exaggerated images. Fifthly, diabolic and horrific images. And, lastly, playful images. These six images thoroughly demonstrate the 'grotesque' features. The fact at we can see the 'grotesque' features in Art make-up explains the enormous growth of Art make-up and the unlimited range of expression in this field. It also implies that the choice of material and theme is not restricted to universal artistic criteria. In closing, it is necessary that Art make-up is thought of not as actual art but more as a tool for its subjects. As a result, this research will provide valuable information for studies in the future.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.77-89
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• 2001

Applying perceptual hierarchy of facial feature points, a neural network model for recognizing facial expressions was designed. Input data were convolution values of 150 facial expression pictures by Gabor-filters of 5 different sizes and 8 different orientations for each of 39 mesh points defined by MPEG-4 SNHC (Synthetic/Natural Hybrid Coding). A set of multiple regression analyses was performed with the rating value of the affective states for each facial expression and the Gabor-filtered values of 39 feature points. The results show that the pleasure-displeasure dimension of affective states is mainly related to the feature points around the mouth and the eyebrows, while a arousal-sleep dimension is closely related to the feature points around eyes. For the filter sizes. the affective states were found to be mostly related to the low spatial frequency. and for the filter orientations. the oblique orientations. An optimized neural network model was designed on the basis of these results by reducing original 1560(39x5x8) input elements to 400(25x2x8) The optimized model could predict human affective rating values. up to the correlation value of 0.886 for the pleasure-displeasure, and 0.631 for the arousal-sleep. Mapping the results of the optimized model to the six basic emotional categories (happy, sad, fear, angry, surprised, disgusted) fit 74% of human responses. Results of this study imply that, using human principles of recognizing facial expressions, a system for recognizing facial expressions can be optimized even with a a relatively little amount of information.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.187-196
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• 2011

Induction motors play a vital role in aeronautical and automotive industries so that many researchers have studied on developing a fault detection and classification system of an induction motor to minimize economical damage caused by its fault. With this reason, this paper extracts robust feature vectors from the normal/abnormal vibration signals of the induction motor in noise circumstance: partial autocorrelation (PARCOR) coefficient, log spectrum powers (LSP), cepstrum coefficients mean (CCM), and mel-frequency cepstrum coefficient (MFCC). Then, we classified different types of faults of the induction motor by using the extracted feature vectors as inputs of a neural network. To find optimal feature vectors, this paper evaluated classification performance with 2 to 20 different feature vectors. Experimental results showed that five to six features were good enough to give almost 100% classification accuracy except features by CCM. Furthermore, we considered that vibration signals could include noise components caused by surroundings. Thus, we added white Gaussian noise to original vibration signals, and then evaluated classification performance. The evaluation results yielded that LSP was the most robust in noise circumstance, then PARCOR and MFCC followed by LSP, respectively.

• The Journal of the Acoustical Society of Korea
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• v.24 no.1
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• pp.29-37
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• 2005

This paper proposes an automatic genre classification system for Korean traditional music. The Proposed system accepts and classifies queried input music as one of the six musical genres such as Royal Shrine Music, Classcal Chamber Music, Folk Song, Folk Music, Buddhist Music, Shamanist Music based on music contents. In general, content-based music genre classification consists of two stages - music feature vector extraction and Pattern classification. For feature extraction. the system extracts 58 dimensional feature vectors including spectral centroid, spectral rolloff and spectral flux based on STFT and also the coefficient domain features such as LPC, MFCC, and then these features are further optimized using SFS method. For Pattern or genre classification, k-NN, Gaussian, GMM and SVM algorithms are considered. In addition, the proposed system adopts MFC method to settle down the uncertainty problem of the system performance due to the different query Patterns (or portions). From the experimental results. we verify the successful genre classification performance over $97{\%}$ for both the k-NN and SVM classifier, however SVM classifier provides almost three times faster classification performance than the k-NN.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.141-152
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• 2014

The user interfaces of electronic-book (e-book) readers in the e-book market are highly diverse, and this has led to major usability issues. In this paper, we analyze user preferences in terms of feature-setting options and the use of touchscreen actions in the six most commonly used e-book readers for smartphnoes. We identify alternatives for these features, which can enhance the usability of e-book readers, based on these user preferences. The survey results for the feature-setting options show that it is desirable to support at least eight background colors, as well as the ability to specify the color of the background icons. Adjusting the screen brightness using a setting bar with the support of an auto-brightness option is desirable, as in using +/- buttons to adjust the font size, as well as approximately 10 font faces. We find that it is desirable to support fade, slide, scroll and curl page-turing options, in addition to a simple non-animated page-turning effect, and that page movement should be accomplished using a scroll bar with the support of the page movement features by entering a page number, and by using the table of contents as well as bookmarks. The survey results on the use of touchscreen options indicated that it is useful to be able to configure the screen layout of an e-book reader by dividing it into three areas: left, right, and center. And then, when users briefly touch the left and right areas, it is ideal to move to the previous and subsequent pages, respectively; and when they briefly touch the center region, it is desirable to display a touch feature menu. We believe that the results of this study may provide guidance in the design of user interfaces for e-book readers.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.63-71
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• 2021

This paper looks into how to enhance construction project management, focusing on the change order, which is often considered one of the major causes for construction delays, disputes, and claims in the middle east construction. First, this paper categorizes the major causes of change orders. It suggests a detailed classification standard for affecting factors resulting from change orders based on a case study result of an on-going construction project in the Middle East. In particular, this paper presents a method to apply a machine learning-based feature selection to quantify the importance of change order triggers and affecting factors. As a result, the case study identifies six major change order triggers and eight affecting factors. Also, a meaningful relationship between change order triggers and affecting factors by each category is presented. This paper will contribute to setting a clear guideline for change order management for the international plant construction field while helping prevent construction delays and cost run-ups by reducing the time required for change order resolution between project owners and contractors.