• The Research Journal of the Costume Culture
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• v.7 no.4
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• pp.139-154
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• 1999

The objectives of this study were to find relationships between ego identity and clothing benefits, and to examine the influence of ego identity, clothing attributes evaluation, and demographic variables on clothing benefits. The subjects were 405 college students(male : 164, female : 241) in Seoul. Six factors of clothing benefit derived by factor analysis : fashion, comfort, social recognition, self-expression, recognized brand, and economy. Males with higher goal-directedness of ego identity had less interest in the benefits of social recognition and recognized brand. The higher the uniqueness of ego identity females had, the higher the social recognition and the lower the comfort. Social recognition of males was influenced by self-acceptance(-), style, and fastener(R²=17.7%). and recognized brand influenced by parents\` education, goal-directedness(-), and allowance(R²=27.5%). Fashion of females was influenced by style, allowance(-), and goal-directedness(-)(R²=18.7%), comfort unfluenced by uniqueness(-), size, and allowance(-)(R²=14.6%), and self-expression influenced by style, allowance, fastener, and interpersonal relation(R²=28.0%). The present findings mean that allowance and ego identity such as goal-directedness, self-acceptance, interpersonal relation were meaningful variables that affect clothing benefits.

• Journal of Korea Multimedia Society
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• v.22 no.3
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• pp.403-416
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• 2019

The purpose of this paper was to analyze multicultural elements and propose measures to strengthen them in the 2009and the 2015 school curriculum. Based on Kim Cheong-ha (2015), the multi-cultural guidance elements and Bennett (2003:32-35) the target system and Choi Moo-sung and Kim Soon-ja (2009) were reconstructed and analyzed. Multicultural elements shown in the 2015 revised curriculum were analyzed for cultural diversity, recognition and tolerance, community awareness, and self-identity. The analysis targets analyzed multicultural elements of 'seeking human beings', 'core competences' and 'school organization and operation' during the elementary education curriculum in 2009. As a result of analyzing the multicultural elements of the former primary education process, 'cultural diversity' is 1,Recognition and tolerance'0, community spirit'3, and 'self-reliant'2 total6. In the new elementary school curriculum, 18 were analyzed as 'cultural diversity'1, 'Recognition and tolerance'1, 'community spirit'8, and 'self-identity'8. The first analysis of multi-cultural factors appearing in the new elementary school curriculum should include the addition of multicultural elements 'cultural diversity' and 'cultural diversity area' and 'education and tolerance' to the following: Second, to grow into a balanced multicultural society member, it proposes an enhanced multicultural curriculum in four areas: cultural diversity, recognition and tolerance, ccommunity spirit, and self-identity.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.934-937
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• 2003

In this paper, authors use a stereo vision system based on the visual model of human and establish inexpensive method that recognizes moving distance using characteristic points around the robot. With the stereovision. the changes of the coordinate values of the characteristic points that are fixed around the robot are measured. Self-displacement and self-localization recognition system is proposed from coordination reconstruction with those changes. To evaluate the proposed system, several characteristic points that is made with a LED around the robot and two cheap USB PC cameras are used. The mobile robot measures the coordinate value of each characteristic point at its initial position. After moving, the robot measures the coordinate values of the characteristic points those are set at the initial position. The mobile robot compares the changes of these several coordinate values and converts transformation matrix from these coordinate changes. As a matrix of the amount and the direction of moving displacement of the mobile robot, the obtained transformation matrix represents self-displacement and self-localization by the environment.

• Journal of Families and Better Life
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• v.14 no.1
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• pp.21-34
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• 1996

The purposes of this study are to investigate the degrees of husband's and wife's recognition and the difference between those degrees about the husbands' authoritarian communication to develop the typology of recongnition of husband and wife and also to find group differences caused by the personal variables spousal variables family-environmental variables. The subjects of this research were 328 married couples living in Seoul. The major findings of this study can be summarized as follows: 1) The degrees of husband's and wife's recognition about the husbands' authoritarian communication were not high and there was no significant difference between husband's and wife's recognition. 2) The recognition of husband and wife about the husband's authoritarian communication is classified into 5 types; type of high agreement of both husband and wife(34 married couples) type of middle agreement of both husband and wife(167 married couples) type of low agreement of both husband and wife 26 married couples) type of disagreement with husband's high recognition(51 married couples) type of disagreement with husband's high recognition(51 married couples) are type of disagreement with wife's high recognition(50 married couples) 3) The variables which have significance on the types of recognition of husband and wife about the husband's authoritarian communication were husband's educational level husband's birth order husband's self-esteem husband's alienation husband's sex-role attitudes wife's self-esteem wife's alienation the rights of decision-making between couples household income subjective social class authoritarian behavior of father of husband.

• Proceedings of the KOSOMBE Conference
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• v.1991 no.11
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• pp.38-43
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• 1991

In order to cluster the Input pattern neatly, some neural network modified from Kohonen's self organizing feature map is introduced and Korean phoneme recognition experiments are performed using the modified self organizing feature map(MSOFM) and the auditory model.

• Journal of Information Technology Services
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• v.6 no.2
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• pp.161-175
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• 2007

Face recognition technology has lately attracted considerable attention because of its non-intrusiveness, usability and applicability. Related companies insist that their commercial products show the recognition rates more than 95% according to their self-testing. But, the rates cannot be admitted as official recognition rates. So, performance evaluation methods and tools are necessary to objectively measure the accuracy and performance of face recognition systems. In this paper, I propose a reference model for biometrics recognition evaluation tools, and implement an evaluation tool for the face recognition system based on the proposed reference model.

• Science of Emotion and Sensibility
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• v.13 no.4
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• pp.647-658
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• 2010

The purpose of the present study was to investigate the effects of self-regulated neurofeedback training on elementary school students' recall and recognition performance. For this purpose, the participants were randomly allocated to control condition where no training was provided or training condition where participants were trained in 4 self-regulated neurofeedback training sessions. As the dependent measures, correct free, recall rates and correct recognition rates were analyzed. The results showed that overall scores of recall and recognition were enhanced by the administration of the training itself, and as the training sessions advanced. In particular, the effect of the training seemed to induce more positive effect on the both memory tasks when the task difficulty (manipulated by increasing the number of target words) was increased. These results implied that self-regulated neurofeedback training can induce increased recollection ability for words by enhancing attentional process.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.419-422
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• 2003

To improve the recognition accuracy of a developed artificial odor discrimination system for three mixture fragrance recognition, Fuzzy Similarity based Self-Organized Network inspired by Immune Algorithm (F-SONIA) is proposed. Minimum, average, and maximum values of fragrance data acquisitions are used to form triangular fuzzy numbers. Then the fuzzy similarity treasure is used to define the relationship between fragrance inputs and connection strengths of hidden units. The fuzzy similarity is defined as the maximum value of the intersection region between triangular fuzzy set of input vectors and the connection strengths of hidden units. In experiments, performances of the proposed method is compared with the conventional Self-Organized Network inspired by Immune Algorithm (SONIA), and the Fuzzy Learning Vector Quantization (FLVQ). Experiments show that F-SONIA improves recognition accuracy of SONIA by 3-9％. Comparing to the previously developed artificial odor discrimination system that used FLVQ as pattern classifier, the recognition accuracy is increased by 14-25％.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.

• 한국노년학
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• v.36 no.4
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• pp.1109-1124
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• 2016

We examined the effect of stereotype threat (STT) on spatial working memory and facial emotion recognition in Korean elderly. In addition, we investigated the role of expected moderator such as self-perception of aging. Seventeen seniors (male=7) received basic cognitive tests including K-WMS-IV, MMSE and answered self-report questionnaires including self-perception of aging, anxiety of aging, attitude toward aging and age identity on the first visit. On the second visit, they were exposed to negative stereotype by reading a script detailing cognitive decline related to aging while a control group was exposed to a neutral content. Following the exposure, they were tested on a spatial-working memory task (Corsi-block tapping task) and emotion recognition task (facial expression identification task). The results showed that the seniors exposed to STT showed significantly lower performance on emotion recognition task (p < .05) (i.e., especially on the more difficult facial stimuli). In addition, there was a significant interaction between STT and self-perception of aging (p< .05), indicating that those who have positive self-perception of aging did not show impairment in emotion recognition task and difficult spatial working memory task under STT. On the other hand, those with negative self-perception of aging showed impaired performance under STT. Taken together, the current study suggests that being exposed to STT could negatively influence cognitive and emotional functioning of elderly. Interestingly, having a positive self-perception of aging could protect the underperformance caused by STT.