• Journal of Korean Foot and Ankle Society
• /
• v.8 no.2
• /
• pp.182-190
• /
• 2004

Purpose: To evaluate the clinical feature and the results of the treatment of Lisfranc joint fracture/dislocation with limited open reduction, pin fixation and Ilizarov external fixation. Materials and Methods: From June 2001 to May 2003, six patients with Lisfranc fracture/dislocation were treated. The average periods of follow-up was 23 months. After limited open reduction on the second tarso-metatarsal joint, we performed pin fixation of the above joint. On the other Lisfranc joint fracture/dislocation, closed reduction and the application of Ilizarov external fixator was done. This rigid system produced the early partial weight bearing and joint motion of the injured foot and ankle joint. The parameters used were radiographic evaluation, patient's clinical assesment and the AOFAS midfoot score. Results: We used the Myerson's criterier to evaluate the radiographic result. All cases could be achieved more than nearly anatomical reduction. Three cases of excellent and 3 cases of good result could be obtained in the evaluation of the patient's clinical assesment. The average AOFAS midfoot score was 87.2 ($76{\sim}95$) points. Conclusion: The treatment using Ilizarov external fixation on Lisfranc joint fracture/dislocation can be another useful method.

• Journal of KIISE:Software and Applications
• /
• v.37 no.11
• /
• pp.837-844
• /
• 2010

Prediction of the prosodic phrase boundary is one of the most important natural language processing tasks. We propose, for the natural prediction of the Korean prosodic phrase boundary, a statistical approach incorporating efficient learning features. These new features reflect the factors that affect generation of the prosodic phrase boundary better than existing learning features. Notably, moreover, such learning features, extracted according to the hand-crafted prosodic phrase boundary prediction rule, impart higher accuracy. We developed a statistical model for Korean prosodic phrase boundaries based on the proposed new features. The results were 86.63% accuracy for three levels (major break, minor break, no break) and 81.14% accuracy for six levels (major break with falling tone/rising tone, minor break with falling tone/rising tone/middle tone, no break).

• Journal of the Korean Association of Geographic Information Studies
• /
• v.2 no.3
• /
• pp.71-80
• /
• 1999

The aim of the present study is to define and tentatively to interpret the distribution of polluted water released from Lake Sihwa into the Yellow Sea using Landsat TM. Since the region is an extreme Case 2 water, empirical algorithms for detecting concentration of chlorophyll-a and suspended sediments have limitations. This work focuses on the use of multi-temporal Landsat TM data. We applied PCA to detect evolution of spatial feature of polluted water after release from the lake Sihwa. The PCA results were compared with in situ data, such as chlorophyll-a, suspended sediments, Secchi disk depth(SDD), surface temperature, remote sensing reflectance at six channel of SeaWiFS. Also, the in situ remote sensing reflectance obtained by PRR-600(Profiling Reflectance Radiometer) was compared with PCA results of Landsat TM data sets to find good correlation between first Principal Component and Secchi disk depth($R^2$=0.7631), although other variables did not result in such a good correlation. Therefore, Problems in applying PCA techniques to multi-spectral remotely sensed data were also discussed in this paper.

• Journal of The Korean Association For Science Education
• /
• v.16 no.2
• /
• pp.154-163
• /
• 1996

In Korea, previous survey in science education mainly dealt with Quantitative variables. Qualitative ethnographic observation can bring deeper understanding of the context of school lesson and it's feature. The purpose of this study was to develop qualitative understanding about the learning experiences provided in middle school and students' responses to them through observation and interview and to investigate it from a constructivist perspective. Six lessons of the 9th grade were observed and recorded on the video tape. The topics of the lessons were potential energy, kinetic energy and conservation of mechanical energy. We had also unstructured interview with the teacher and three groups of students. The teacher's deductive explanation starting from scientific definition and quantitative problem solving using formula were the main features of the classroom lectures. The video - watching lesson was taking the role of a break rather than being seen as a useful tool for science learning and teaching by both students and the teacher. The teacher's perception about the lab experiment was not supported by the responses from the students. The teacher and students preferred problem-book to textbook for their teaching and learning. From a constructivist's perspective, however the teacher seemed to have intention of introducing daily life context, he couldn't unfold it to main context of the lessons. Students were so accustomed to passive learning that they did not express directly their complaint about their learning and did not participate in planing and controling their learning. The teacher and the students believed the scientific knowledge came from an exact experiment. There was a cooperation to seek right answer rather than a social process of making sense of knowledge. In conclusion, the observed science lessons of a middle school showed typical cross section of teacher - centered, passive learning environment, which is far from constructivist perspective.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.2
• /
• pp.197-203
• /
• 2005

In this paper, we propose an emotion recognition using facial Images to effectively design human interface. Facial database consists of six basic human emotions including happiness, sadness, anger, surprise, fear and dislike which have been known as common emotions regardless of nation and culture. Emotion recognition for the facial images is performed after applying the discrete wavelet. Here, the feature vectors are extracted from the PCA and LDA. Experimental results show that human emotions such as happiness, sadness, and anger has better performance than surprise, fear and dislike. Expecially, Japanese shows lower performance for the dislike emotion. Generally, the recognition rates for Korean have higher values than Japanese cases.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.48 no.6
• /
• pp.43-50
• /
• 2011

Currently, conventional security methods including IC card or password type method are quickly switched into biometric security systems in various applications and the electrocardiogram (ECG) has been considered as one of novel biometrics way. However, conventional ECG based biometrics used lead II signal which conventionally used for formulaic signal to heart disease diagnosis and it is not suitable for biometrics since it is rather difficult to find consistent features for heart disease patents. To overcome this problem, we developed new biometrics system using ECG lead III signals. For wave extraction, signal peak points are extracted through AAV algorithm. For feature selection, extracted waves are categorized into one of four wave types and total twenty two features including number of vertices, wave shapes, amplitude information and interval information are extracted based on their wave types. Experimental results for thirty-six people showed 100% specificity, 95.59% sensitivity and 99.17% of overall identification accuracy.

• BMB Reports
• /
• v.31 no.5
• /
• pp.459-467
• /
• 1998

A new set of functional group interaction energy descriptors relevant to the ACE (Angiotensin-Converting Enzyme) inhibitory peptide, QSAR (Quantitative Structure Activity Relationships), is presented. The functional group interaction energies approximate the charged interactions and distances between functional groups in molecules. The effective energies of the computationally derived geometries are useful parameters for deriving 3D-QSAR models, especially in the absence of experimentally known active site conformation. ACE is a regulatory zinc protease in the renin-angiotensin system. Therapeutic inhibition of this enzyme has proven to be a very effective treatment for the management of hypertension. The non bond interaction energy values among functional groups of six-feature of ACE inhibitory peptides were used as descriptor terms and analyzed for multivariate correlation with ACE inhibition activity. The functional group interaction energy descriptors used in the regression analysis were obtained by a series of inhibitor structures derived from molecular mechanics and semi-empirical calculations. The descriptors calculated using electrostatic and steric fields from the precisely defined functional group were sufficient to explain the biological activity of inhibitor. Application of the descriptors to the inhibition of ACE indicates that the derived QSAR has good predicting ability and provides insight into the mechanism of enzyme inhibition. The method, functional group interaction energy analysis, is expected to be applicable to predict enzyme inhibitory activity of the rationally designed inhibitors.

• Proceedings of the Korean Society For Composite Materials Conference
• /
• 2005.11a
• /
• pp.179-184
• /
• 2005

In the present study, conceptual design of the main wing for 20 seats WIG{wing in Ground Effect) flight vehicle, which will be a high speed maritime transportation system for the next generation, was performed. The high stiffness and strength Carbon-Epoxy material was used for the major structure and the skin-spar with a foam sandwich structural type was adopted for improvement of lightness and structural stability. As a design procedure for this study, firstly the design load was estimated with maximum flight load, and then flanges of the front and the rear spar from major bending load and the skin structure and the webs of the spars were preliminarily sized using the netting rules and the rule of mixture. In order to investigate the structural safety and stability, stress analysis was performed by Finite Element Codes such as NASTRAN/PA TRAN[6] and NISA II [7]. From the stress analysis results, it was confirmed that the upper skin structure between the front spar and rear spar was very unstable for the buckling. Therefore in order to solve this problem, a middle spar and the foam sandwich structure at the upper skin and the web were added. After design modification, even thought the designed wing weight was a little bit heavier than the target wing weight, the structural safety and stability of the final design feature was confirmed. Moreover, in order to fix the wing structure at the fuselage, the insert bolt type structure with six high strength bolts was adopted for easy assembly and removal.

• Fashion & Textile Research Journal
• /
• v.17 no.6
• /
• pp.956-964
• /
• 2015

This study aims to investigate the relationship between consumers’ clothing consumption values, demographic features, and clothing disposal behaviors. The data were collected from 300 women aged between 20 and 59 through the online survey with the self-administered questionnaire. A series of exploratory and confirmative factor analysis was conducted to identify the dimensions of clothing consumption values and clothing disposition behaviors. Clothing consumption values consisted of six dimensions including conditional value, individuality value, fashion value, social value, practical value, and self-expression value. Clothing disposition behaviors were discovered as four dimensions such as discarding, giving, selling, and donating. A structural equation modeling analysis was employed to examine the relationship between clothing consumption values and disposition behaviors. While individuality value, fashion value, and practical value had a significantly positive impact on donating, giving, and discarding behaviors, both practical value and self-expression value negatively influenced discarding behavior. Fashion value negatively affected giving behavior. Employing a series of MANOVA, one-way ANOVA and sheffe's multiple range test, this study found that there were significant effects of age, marital status, monthly income, and monthly clothing expenses on giving and donating behaviors. This study suggests that fashion firms should be aware of clothing disposition in terms of social and environmental concerns and understand diverse consumer disposal behaviors and utilize them as a social marketing strategy.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.40 no.5
• /
• pp.266-279
• /
• 2003

In this paper, we propose machine printed character recognition methods which utilize the character type information and divide the character clusters. The characters are subdivided into a total of seven types, of which six types are for Hangul according to the grapheme combination fashions and one type for English characters, numerals, and symbols. According to the character type, we separate input character image into several recognition units and recognize them by using the direction angle feature. The recognition for each character type is completed by combining recognition units which are recognized by neural networks respectively For combining a total of seven character recognizers, we implemented seven methods such as switching method, integrating method, and their several variants. As experimental results, we obtained 98.2% recognition rate of simple switching method, 90.54% of integrating one, and between 97.35% and 98.65% of five variants.