• The Southeast Asian review
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• v.28 no.3
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• pp.1-42
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• 2018

This is an ethnographic study to explore the cultural tourism villages of the ethnic Tay people in Mai Chau district, Hoa Binh province, northern Vietnam. We can draw out the contradictions between the representations and realties by focusing on the patterns of everyday life in the villages as well as the tourists' actual gaze on the villages. This paper begins by describing the content of some of the current tourism promotional material about the villages and the ethnic Tay in order to understand the myths and images which the tourist industry identifies as worth viewing. And then, it provides descriptions on daily life in the villages and the tourists visiting the villages to discuss how tourism actually occurs in the villages. By focusing on the contradictions between the images and realities, a more actual picture of the villages can be seen. In addition, this paper tries to categorize the various types of tourists with different perspectives and motives visit the villages.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.2
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• pp.11-18
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• 2020

Recently, a series of studies on virtual try-on (VTON) using images have been published. A comparison study analyzed representative methods, SCMM-based non-deep learning method, deep learning based VITON and CP-VITON, using costumes and user images according to the posture and body type of the person, the degree of occlusion of the clothes, and the characteristics of the clothes. In this paper, we tackle the problems observed in the best performing CP-VTON. The issues tackled are the problem of segmentation of the subject, pixel generation of un-intended area, missing warped cloth mask and the cost function used in the learning, and limited the algorithm to improve it. The results show some improvement in SSIM, and significantly in subjective evaluation.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.368-377
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• 2020

In this paper, the transmission and the phases of the memories in the novels dealing with Vietnam War have been studied. As a research method, Aleida Assmann's memory theory which plays a role in culturoloy theory is utilized. This study shows firstly that the others' voices excluded from the official memories of Vietnam War have emerged. Vietnam War novels released after 1990s actively reflecting the others' voices transmitted fresh the cultural memories. As the stories of civilian massacre, defoliant victims, and children of mixed bloods, Lai Daihan excluded from the official memories have emerged as a main them in the Vietnam War novels, they have become resistant memories. Existence and Formality, a Vietnam War novel by Bang Hyeonsuk brings up how to remember Vietnam War. His another novel, Time to Eat Lobster shows that without the fundamental retrospect and introspection of Vietnam War, Korea can't help but have the identity of America. Secondly, this paper shows that the tragedy of Vietnam War remains as a trauma that human bodies remember. White War by Ahn Jeonghyo shows that the memory moves back to the past in the process of struggle. In the novel, Slow Bullet by Lee Daehwan the phases of demage from defoliants lead to the family's tragedy. The Red Ao Dai by O Hyeonmi shows how a Korean-Vietnamese overcomes negation of his father and win his identity. In A Sad Song in Saigon shows that a mixed blood, Sairang who suffered from the confusion of his identity and his story fell down to a romance novel because of the weakness of narrative.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.25-34
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• 2019

VTON (Virtual try-on) is a key technology that can activate the online commerce of fashion items. However, the early 3D graphics-based methods require the 3D information of the clothing or the human body, which is difficult to secure realistically. In order to overcome this problem, Image-based deep-learning algorithms such as VITON (Virtual image try-on) and CP-VTON (Characteristic preserving-virtual try-on) has been published, but only a sampled results on performance is presented. In order to examine the strength and weakness for their commercialization, the performance analysis is needed according to the complexity of the clothes, the object posture and body shape, and the degree of occlusion of the clothes. In this paper, IoU and SSIM were evaluated for the performance of transformation and synthesis stages, together with non-DL SCM based method. As a result, CP-VTON shows the best performance, but its performance varies significantly according to posture and complexity of clothes. The reasons for this were attributed to the limitations of secondary geometric deformation and the limitations of the synthesis technology through GAN.