• Journal of the Korean Society of Costume
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• v.18
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• pp.351-359
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• 1992

The purpose of this study is to analyze the costume in $\ulcorner$The Goddess Abides$\lrcorner$ of Pearl S. Buck by applying "Dramaturgical Analysis" of Erving Goffman. The frame of analysis is the dramaturgical conception of Goffman that he expressed in $\ulcorner$The Presentation of self in Everyday Life (1959)$\lrcorner$. Among the conception, I analyzed by applying 'performance', 'technique of impression management', 'region and region behavior' which can be used for studying and costume behavior. The following is the summary of my study. First, the performance means the performer's behavior and the procedure of impression management if face to fact interaction, which includes personal front and setting. Setting is mainly a house on the Mt. in Vermont. The time is Winter. The personal front includes appearance and manner. actors and audiences form impression through persional front. And Istudied the performance of the actors (or actress), Edith, Jared, Edmond, Edwin, Amelia, June. As for technique of impression management, I cold observe that a varieth of that were being used, such as the most general one that Edith wants to look beautiful by making god appearance, or she sometimes try not to look beautiful And when Edith meets Jared, sometimes she changed her clothes, but other times she doesn't do that. As for region and region behavior, there appears the distinction of region and a lot of expressions about clothes related to the distinction. I could observe the expressions showing the movement from front to back and from back to front. Especially I could observe the behaviors that can be occured only in back region in everyday life, that is bathing, changing clothes, making up, checking their appearance before the mirror. Like above when I analyzed $\ulcorner$The Goddess Abides$\lrcorner$ of Pearl S. Buck by Goffman's Dramaturgical analysis, I could find out that the theory was very useful to the analysis of the costume behaviors of the characters.

• Journal of Korean Academy of Nursing
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• v.47 no.3
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• pp.289-304
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• 2017

Purpose: The purpose of this study was to understand and describe the illness experience of married Korean women with epilepsy. Methods: Data were collected during 2015~2016 through individual in-depth interviews with 12 married women with epilepsy. Verbatim transcripts were analyzed using Giorgi's phenomenological analysis to uncover the meaning of the illness experience of the participants. Results: The study results showed that the illness experience of married Korean women with epilepsy was clustered into a specific description of situated structure and a general description of situated structure. Six themes from 20 meaning units were identified: 1) Undermined self-esteem with stigma of being epileptic; 2) Limited social interaction; 3) Suffering sorrow as a 'disqualified being'; 4) Shuttling back and forth across the boundary between healthy and epileptic; 5) Desperate struggle to meet the expectation of given role; 6) Self-empowering through self-restriction and realization. Conclusion: The findings from this study show that both the enacted and felt stigma of epilepsy impact on the life of married Korean women with epilepsy. Although the participants face social and interpersonal restriction and prejudices, they try their best to fulfill their role rather than to be cared for as patients. As the stigma and hardships of the participants are related to lack of knowledge, health professionals should focus not just on clinical intervention but also on providing targeted educational programs and counseling for these women to dispel the stigma of the disease and to increase their quality of life.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.53-60
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• 2009

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking; and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.603-607
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• 2004

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.94-104
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• 2016

Community recently pays attention to participation, network, and partnership of local residents and community stakeholders for the purpose of solving community problems and issues. This is the typical characteristics of local governance as an institutional setting to solve the problems which communities face with. The aim of this study is to attempt an analysis of local governance from the perspective of community welfare. To do that, it especially focuses on 'Gwangju Greenway' as a case. Participation of and communications among local residents strengthen their community's capabilities to deal with problems and seek better solutions. Above all, networking and cooperation between local government and local residents are required to improve the quality of local residents' participation at the process of planning and policy-making in the area of community welfare. 'Gwangju Greenway' is a good example of community welfare in that local residents actively seek to solve their own problems and realize common good within their local community through the improvement of social interaction and solidarity among local residents, thus resulting in good quality of life.

• Journal of Plant Biotechnology
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• v.38 no.2
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• pp.117-124
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• 2011

Considering that the world population is expected to total 9 billion by 2050, it will clearly be necessary to sustain and even accelerate the rate of improvement in crop productivity. In the 21st century, we now face another, perhaps more devastating, environmental threat, namely climate change, which could cause irreversible damage to agricultural ecosystem and loss of production potential. Enhancing intrinsic yield, plant abiotic stress tolerance, and pest and pathogen resistance through agricultural biotechnology will be a critical part of feeding, clothing, and providing energy for the human population, and overcoming climate change. Development and commercialization of genetically engineered crops have significantly contributed to increase of crop yield and farmer's income, decrease of environmental impact associated with herbicide and insecticide, and to reduction of greenhouse gas emissions from this cropping area. Advances in plant genomics, proteomics and system biology have offered an unprecedented opportunities to identify genes, pathways and networks that control agricultural important traits. Because such advances will provide further details and complete understanding of interaction of plant systems and environmental variables, biotechnology is likely to be the most prominent part of the next generation of successful agricultural industry. In this article, we review the prospects for modification of agricultural target traits by genetic engineering, including enhancement of photosynthesis, abiotic stress tolerance, and pest and pathogen resistance associated with such opportunities and challenges under climate change.

• Computers and Concrete
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• v.34 no.4
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• pp.393-408
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• 2024

In recent decades the strengthening of reinforced concrete (RC) structural elements using Fiber-reinforced polymer (FRP) has received much attention. The behavior of RC elements can vary from axial compression to pure bending, depending on their loading. When the compressive behavior is dominant, the FRP jacket application is common, but when the flexural behavior is prevalent, the codes consider the FRP jacket ineffective. Codes suggest applying FRP bars or strips as Near-surface Mounted (NSM) or Externally Bonded (EB) in the tensile face to strengthen the beams under flexure. To strengthen the columns in tension-control mode, some researchers have suggested NSM FRP bars in both tension and compression faces alone or with the FRP jacket (hybrid). However, the number of tests that evaluate the pure bending of the strengthened columns as one of the pivotal points of the axial force-moment interaction curve is limited. In this paper, 11 RC elements strengthened using the NSM (in both tension and compression faces) or hybrid method were subjected to bending to assess the effect of the amount and material type of the FRP bar and jacket and the dimensions of the groove. The test results revealed that the NSM method increased the flexural capacity of the members between 10% to 50%. Furthermore, using the hybrid method increased the capacity between 51% to 91%. Finally, an analytical model was presented considering the effect of the NSM FRP bond in different circumstances, and its results were in good agreement with the experimental results.

• Asian Journal for Public Opinion Research
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• v.7 no.4
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• pp.251-260
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• 2019

Burqa or in Arabic An-Niqab is used to cover the entire face of a woman, except the two eyes. The burqa is not obligatory according to Syafi'i madzhab, which is followed by the majority of Indonesian Muslims. In this study, researchers used a survey to develop an understanding of veiled female students' attitudes about themselves, their experience wearing a burqa, interactions with peers, and their perception of how other members of their academic community perceive them. The survey used Likert-type items. The sample in this study was 100 students from three general universities in South Kalimantan: Antasari State Islamic University, Rasyidiyah Khalidiyah Islamic College, and College of Quranic Sciences. The key findings include that 58.2% indicated a willingness to form associations with any women; 17.7% said they were happy associating only with the veiled community. A total of 13.9% said that sometimes they were told to take off their burqa when they were in the classroom. While most said they were never bullied on campus (67.1%), 19% said they were often bullied. Most (78.5%) said that they were given freedom even though there was a suggestion to open their faces when education and learning were taking place.

• Journal of information and communication convergence engineering
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• v.20 no.3
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• pp.174-180
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• 2022

Emotion recognition is an essential component of complete interaction between human and machine. The issues related to emotion recognition are a result of the different types of emotions expressed in several forms such as visual, sound, and physiological signal. Recent advancements in the field show that combined modalities, such as visual, voice and electroencephalography signals, lead to better result compared to the use of single modalities separately. Previous studies have explored the use of multiple modalities for accurate predictions of emotion; however the number of studies regarding real-time implementation is limited because of the difficulty in simultaneously implementing multiple modalities of emotion recognition. In this study, we proposed an emotion recognition system for real-time emotion recognition implementation. Our model was built with a multithreading block that enables the implementation of each modality using separate threads for continuous synchronization. First, we separately achieved emotion recognition for each modality before enabling the use of the multithreaded system. To verify the correctness of the results, we compared the performance accuracy of unimodal and multimodal emotion recognitions in real-time. The experimental results showed real-time user emotion recognition of the proposed model. In addition, the effectiveness of the multimodalities for emotion recognition was observed. Our multimodal model was able to obtain an accuracy of 80.1% as compared to the unimodality, which obtained accuracies of 70.9, 54.3, and 63.1%.

• Journal of the Korean Society of Costume
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• v.60 no.7
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• pp.14-30
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• 2010

The purpose of this study is to come up with a perspective that can enhance the understanding about the mechanism of fashion change. The starting idea of this study is that fashion has changed according to the ideal body image of the specific society or individual. The theoretical framework about the ideal body image has been studied by the literatures on the subject and it is verified by the analysis of John Galliano & Martin Margiela's fashion works. The results are as follows. First, Galliano exposes the woman's body as a sexual symbol which is articulated by men's eyes. Margiela describes the woman's body as human being which doesn't highlight any sexual characteristics. Second, Galliano emphasizes the body conscious silhouette whereas Margiela perceives the body as a whole, rather than looks into each body part. Third, Galliano uses lots of decoration to make display luxurious. Margiela restrains himself from using decorations and tries to create images by interaction between the clothes and bodies. Forth, Galliano expresses the eroticism by accentuating eyes and lips with strong color cosmetics. Margiela's fashion is not dazzling with makeup. He even covers the face with fabrics. Aesthetics in all societies is articulated by their hidden social power groups, and then it has influence on taking shape of the ideal body image and the mainstream of fashion. But the innate characters of individuals offer challenges to the fashion majority. The tension between the social power and individual character makes and changes the fashion.