• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.690-698
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• 2007

By investigating Internet shopping malls from a viewpoint ofenvironmental psychology, this study tries to expand the subject of servicescape into the Internet rather than to confine it to physical space. This study empirically validates the effect of e-servicescape (hereinafter e-scape) on customers' cognitive and emotional responses which subsequently can lead to customers' behaviors. An analysis of 490 questionnaires found that e-scape influences the emotional and cognitive responses, ultimately triggering customers' behaviors. We also found that the effects of e-scape on customers' behavior may be mediated by customers' internal responses. Based on the analysis result, servicescape management is important on the Internet just as it is in physical space. Concepts such as e-scape management can be one of the effective strategies to make an Internet shopping mall distinguishable from other Internet shopping malls.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.125-127
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• 2004

High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

• Proceedings of the KSRS Conference
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• v.1
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• pp.260-262
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• 2006

One of future remote sensing techniques for transportation application is vehicle detection from the space, which could be the basis of measuring traffic volume and recognizing traffic condition in the future. This paper introduces an approach to vehicle detection using image object segmentation approach. The object-oriented image processing is particularly beneficial to high-resolution image classification of urban area, which suffers from noisy components in general. The project site was Dae-Jeon metropolitan area and a set of true color aerial images at 10cm resolution was used for the test. Authors investigated a variety of parameters such as scale, color, and shape and produced a customized solution for vehicle detection, which is based on a knowledge-based hierarchical model in the environment of eCognition. The highest tumbling block of the vehicle detection in the given data sets was to discriminate vehicles in dark color from new black asphalt pavement. Except for the cases, the overall accuracy was over 90%.

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.113-119
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• 2007

This article deals mainly with two objectives viz, 1) the potentiality of very high-resolution(VHR) multi-spectral and pan chromatic QuickBird satellite data in resources mapping over moderate resolution satellite data (IRS LISS III) and 2) the advantages of using object oriented classification method of eCognition software in land use and land cover analysis over the ISODATA classification method. These VHR data offers widely acceptable metric characteristics for cartographic updating and increase our ability to map land use in geometric detail and improve accuracy of local scale investigations. This study has been carried out in the Sukkalampatti mini-watershed, which is situated in the Eastern Ghats of Tamil Nadu, India. The eCognition object oriented classification method succeeded in most cases to achieve a high percentage of right land cover class assignment and it showed better results than the ISODATA pixel based one, as far as the discrimination of land cover classes and boundary depiction is concerned.

• Korean Journal of Biological Psychiatry
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• v.19 no.1
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• pp.9-16
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• 2012

This article aimed to describe typical event-related potentials (ERP) components of emotional processing in patients with anxiety disorder and highly anxious individuals. ERP components associated with emotional processing could be broadly divided into three components with short, middle and long, respectively. Many studies show that patients with anxiety disorders are characterized by different emotional bias to specific stimuli and more sensitive to emotional stimuli than normal individuals. In addition, these emotional biases were stronger and quicker in patients with anxiety disorder than normal individuals. Some studies reported that anxious people show abnormality at the initial stage (e.g. P1) of emotional processing. However, other studies reported the abnormality at the late stage (e.g. LPP) or wholeness of emotional processing in anxious individuals. We summarized the updated finding of possible ERP components of emotional processing in patients with anxiety disorder and highly anxious individuals. The significance and clinical implication were discussed.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.2 s.29
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• pp.53-59
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• 2004

In this paper, we investigated a method for feature-based classification to develop a software which is suitable for the classification of high resolution satellite imagery. We developed algorithms for image segmentation and fuzzy-based classification required for feature-based classification and designed user interfaces to support interaction with user, considering various elements required for the feature-based classification. Evaluation of the software was accomplished using real image. Classification results were compared and analysed with eCognition software which is unique commercial software for feature-based classification. The classification results from both softwares showed essentially same results and the developed software showed better result in the processing speed.

• Psychiatry investigation
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• v.15 no.11
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• pp.1053-1063
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• 2018

Objective This study evaluated the psychometric properties of the Korean Anxiety Screening Assessment (K-ANX) developed for screening anxiety disorders. Methods Data from 613 participants were analyzed. The K-ANX was evaluated for reliability using Cronbach's alpha, item-total correlation, and test information curve, and for validity using focus group interviews, factor analysis, correlational analysis, and item characteristics based on item response theory (IRT). The diagnostic sensitivity and specificity of the K-ANX were compared with those of the Beck Anxiety Inventory (BAI) and Generalized Anxiety Disorder 7-item scale (GAD-7). Results The K-ANX showed excellent internal consistency (${\alpha}=0.97$) and item-total coefficients (0.92-0.97), and a one-factor structure was suggested. All items were highly correlated with the total scores of the BAI, GAD-7, and Penn State Worry Questionnaire. IRT analysis indicated the K-ANX was most informative as a screening tool for anxiety disorders at the range between 0.8 and 1.6 (i.e., top 21.2 to 5.5 percentiles). Higher sensitivity (0.795) and specificity (0.937) for identifying anxiety disorders were observed in the K-ANX compared to the BAI and GAD-7. Conclusion The K-ANX is a reliable and valid measure to screen anxiety disorders in a Korean sample, with greater sensitivity and specificity than current measures of anxiety symptoms.

• Korean Journal of Child Studies
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• v.37 no.4
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• pp.69-81
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• 2016

Objective: The literature on participant roles in bullying lacks empirical evidence to explicate what differentiates latent participation. The purpose of the present study was to examine social cognition in early adolescents (i.e., empathy, prosocial moral reasoning, and perceived group norm) with latent participants of bullying. Methods: The participants included 279 adolescents (129 girls; M age = 13.5 years) in two middle schools. Results: The result showed that empathy, prosocial moral reasoning, and perceived group norm were possible determinants of latent bullying. First, high levels of empathy (especially empathic concern and perspective taking) was associated with latent defenders. Second, helping decision of prosocial moral dilemma and prosocial moral reasoning were associated with complex situational cues. Third, latent reinforcer positively indentified the group norm with regard to bullying. Conclusion: The results are discussed in terms of practical implications for anti-bullying programs and educational practitioners.

• Research in Mathematical Education
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• v.3 no.1
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• pp.57-68
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• 1999

In this paper, we investigate the comparative effectiveness of two kinds of instructional methods in transfer of mathematics learning: one based on the situated cognition, i.e. situated learning (SL) and the other based on traditional learning (TL). Both classes (of grade 2) studied addition and subtraction of 3-digit numbers. After that, they completed two written tests (Written Test 1 included computation problems, Written Test 2 included computation problems and story problems) and a real situation test. As a result, no significant differences were found between the two groups' performance on computation skill in Written Tests 1 and 2. But the SL group performed significantly better on the performance of story problem and real situation test than TL group. This result indicated that the SL made improvement in transfer of mathematics learning. As a result of interviews with 12 children of the SL group were able to use contextual resources in solving real situation as well as story problems.

• Journal of The Korean Society of Integrative Medicine
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• v.3 no.1
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• pp.63-69
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• 2015

Purpose: The purpose of this study was to investigate the differences in emotion recognition according to general characteristics of stroke patients. Method: The subjects consisted of 38 stroke patients receiving rehabilitation at S Hospital in Busan. Used the eMETT program to assess emotional cognition. Result: The age and duration of disease showed statistically significant differences in emotion recognition ability score, the gender and lesion showed a statistically significant difference in some emotion(p<.05). Conclusion: The results of this study it can be seen that the difference in emotion recognition ability in accordance with the general characteristics of the stroke. There will be a variety of future research related to standardized research or interventions targeted at stroke patients and normal controls to be carried out.