• The Journal of the Korea Contents Association
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• v.3 no.2
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• pp.19-23
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• 2003

Neurons in the mammalian visual cortex can be dassified into the two main categories of simple cells and complex cells based on their response properties. Here, we find the complex features corresponding to the response of complex cells by applying the unsupervised independent component analysis network to input images. This result will be helpful to elucidate the information processing mechanism of neurons in primary visual cortex.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.2
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• pp.14-21
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• 2001

This study aims to analyze visual structure by evaluating the view from five building sites around An-ap pond, and attempt to determine which site commands the best view and will provide the most active use. The results of this study can be summarized as follows: According to the questionnaire survey of experts on the relations of dominancy-subordination(´chu-jong´), vacancy-solidness(´heo-sil´), sparsity-density(´so-mil´) based on ancient oriental Yin-Yang theory and analysis of visual structure on angle of elevation, depression, and the landscape-component ratio to be seen through five building sites around the west of An-ap pond, building site three was selected as the building site which has the best landscape. Therefore, it is estimated that building site three played the role of core-building site. According to the result of correlation analysis, the greater the increased in the component ratio of sky, mountain ,the greater the degree of harmony within the landscape. As well, the degree of harmony increased when the landscape component ratio of a distant view was greater than that of a near view. Moreover, it was proved that the relationships of ´chu-jong´, ´heo-sil´, ´so-mil´ are correlative, not independent.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.351-355
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• 2003

Neurons in the mammalian visual cortex can be classified into the two main categories of simple cells and complex cells based on their response properties. Here, we find the complex features corresponding to the response of complex cells by applying the unsupervised independent component analysis network to input images. This result will be helpful to elucidate the information processing mechanism of neurons in primary visual cortex.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.515-520
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• 2012

In brain computer interface (BCI) system, the most important part is classification of human thoughts in order to translate into commands. The more accuracy result in classification the system gets, the more effective BCI system is. To increase the quality of BCI system, we proposed to reduce noise and artifact from the recording data to analyzing data. We used auditory stimuli instead of visual ones to eliminate the eye movement, unwanted visual activation, gaze control. We applied independent component analysis (ICA) algorithm to purify the sources which constructed the raw signals. One of the most famous spatial filter in BCI context is common spatial patterns (CSP), which maximize one class while minimize the other by using covariance matrix. ICA and CSP also do the filter job, as a raw filter and refinement, which increase the classification result of linear discriminant analysis (LDA).

• Journal of Biomedical Engineering Research
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• v.29 no.1
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• pp.73-81
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• 2008

The purpose of this study is to observe the brain activity patterns during visual oddball tasks with two difficulty levels by the analysis of high-density event-related potential (ERP). Along with conventional statistical analysis of averaged ERP waveforms, we applied independent component analysis (ICA) for the individual, single-trial analysis and verified its effectiveness. We could identify multiple ERP components such as early visual components (P1, N1), and two components which seem to be important task-related components and showed difficulty-dependent variability (P2, P300). The P2 was found around central region at $180{\sim}220ms$, and the P300 was found globally at $300{\sim}500ms$ poststimulus. As the task became difficult, the P2 amplitude increased, and the P300 amplitude decreased. After single-trial ERPs were decomposed into multiple independent components (ICs), several ICs resulting from P2 and P300 sources were identified. These ICs were projected onto scalp electrodes and the projected ICs were statistically compared according to two task difficulties. For most subjects, the results obtained from single-trial/individual analysis using ICA gave the tendencies of amplitude change that are similar to the averaged ERP analysis for most subjects. The temporal pattern and number of ICs corresponding to ${\mu}$ rhythm was not dependent on the task difficulty. It seems that the motor response was not affected by the task difficulty.

• Journal of the Korean Home Economics Association
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• v.46 no.6
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• pp.1-11
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• 2008

The purpose of this study is to find the component factors and attributes of visual store environment and to suggest visual merchandising strategies which fit for fashion retail store in Korean traditional market. For the study, observation and in-depth interview were executed for consumers who had purchase experiences at Korean traditional market in city area. The results were as follows. First, the component factors of visual store environment for Korean traditional market were external factor, internal factor, and structural factor. Second, the attributes of visual store environment in Korean traditional market were approach convenience, cleanness, attractiveness, publicity, efficiency, and informativeness. On the basis of these six attributes, real states of fashion retail store in Korean traditional market were analyzed. This study has a meaning in confirming the possibility of differential approach method on the basis of the attributes of visual store environment in Korean traditional market.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.133-137
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• 2005

In this paper, we investigate visual and quantitative analysis of different tastes in the liquids using multi-array chemical sensor (MACS) based on the ion-selective electrodes (ISEs), which is so called the electronic tongue (E-Tongue) system. We apply the Fuzzy C-means (FCM) algorithm combined with Principal Component Analysis (PCA), which can be used to reduce multi-dimensional data to two- or three-dimensional data, to classify visually data patterns detected by E-Tongue system. The proposed technique can be determined the cluster centers and membership grade of patterns through the unsupervised way. The membership grade of an unknown pattern, which does not shown previously, can be visually and analytically determined. Throughout the experimental trails, the E-tongue system combined with the proposed algorithms is demonstrated robust performance for visual and quantitative analysis for different tastes in the liquids.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.257-258
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• 1998

To reveal the interconnected brain regions involved in human working memory, their functional connectivity was analyzed using principal component analysis (PCA). rCBF PET scans were peformed on 5 normal volunteers during the verbal and visual working memory tasks and PCA was applied. PCA produced the first principal components related with the increase of the difficulty and the second one which demonstrate the dissociation of verbal and visual memory system.

• The Journal of Korean Academy of Sensory Integration
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• v.4 no.1
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• pp.47-55
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• 2006

Objective : The purpose of this study was to evaluate the correlation between visual perception ability and activities of daily living(ADL) in the children with spastic diplegia who were treated at developmental disabilities children salutary institute. Method : The subject were consisted of 8 children with spastic diplegia(mean age, 10). The visual perception ability was measured by the Developmental Test of Visual Perception(DTVP) and by the Functional Independence Measure for Children(WeeFIM) to evaluate activities of daily living. Collected data analysis were completed by using correlation analysis. Results : Visual perception ability of children with spastic diplegia is the highest in Position in Space(PS) score, and is the lowest in Visual-Motor coordination(VM) score. Average visual perception performance of children with spastic diplegia is the highest in SR(Spatial relationship) score, and is the lowest in VM score. In activities of daily living, eating component were significantly correlated with Visual-Motor coordination. Conclusions : Therefore, accurate evaluation of visual perception ability and visual perception training for children with spastic diplegia will be important to improve patient's activities of daily living skill.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.83-90
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• 2007

The purpose of main entrance was to protect the house with the wall and working for the house-gate where people come in and go out. On the other hand, the type of main entrance is changed variously depended on the materials for house and method of construction. Eleven villages in the Chungyang-Gun where the environment of rural villages is well maintained was chosen and researched to make data. These data of visual landscape elements were analysed by using the SPSS 12.0 for Windows. Relations of the visual component elements were analysed by the analysis for frequency and analysis for crosstab. From the above research we could conclude below results. Through review of the pre-researching and researching literatures, 11 types of visual component elements were selected such as the types of the gate, the looking through degree of the gate, the material of the gate, the color of the gate, the plan of the house, the material of the roof, a material of the wall, a color of the wall, the form of the penetration, the area to put, the area of a site, the year of the constructing a building. For the types of the gate, the gate from without the roof has been the most popular since it appeared 41.5%. For the looking through degree of the gate, a complete blockade form has been the most popular since it appeared 63.2%. For the material of the gate, the iron plate has been the most popular since it appeared 32.1%. For the color of the gate, color has been the most popular since it appeared 68.4%. For the plan of the house, 'ㄷ' form has beneath most popular since it appeared 38.3%. For the material of the roof. The Zinc has been the most popular since it appeared 51.9%. For a material of the wall, A cement mortar has been the most popular since it appeared 47.7%. For a color of the wall, Without tile color has hem the most popular since it appeared 67.0%. For the form of the penetration. The plain form has been the most popular since it appeared 54.0%. For tile area of a site, $100m^2{\sim}200m^2$ has been the most popular since it appeared 39.0%. The results of this study can provide to use of indicates four rural-housing reform. From now on, the results look forward to offering the meaning directions for the improvement of rural house gates.