• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.91-101
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• 2013

At the age of uncertainty, the contemporary architecture has been changed by various design approaches as a result of the development of the media. Especially, being issued Phenomenology by Merleau-Ponty the tendency of visual interpretation on the architectural space has been studied positively. This research is to understand a Phenomenological approach to design the interior and architectural space. The phenomenological architectural space is based on knowing about the perception from a body and experience as a contents of the world. The touch from the space designed by Phenomenological architectural express by various way of the Phenomenological light is one of the concept of Phenomenological experience.

• Journal of the Korean Geographical Society
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• v.39 no.4
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• pp.562-584
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• 2004

This paper intends to identify the structure of homogeneous regions and functional regions in Seoul based on B.J.L. Berry's ‘general field theory of spatial behavior’. The structure of homogeneous regions by using socio-economic variables can explain how the structural elements of the city are arranged. It can be ssid that Seoul has shifted towards more complicated and differentiated features in terms of homogeneous regions. The different patterns are found between the northern part to Han River where old torn areas are located and the southern part to Han River where newly urbanized areas are located. Usually, the concentric pattern and the sectoral pattern coexist, which is enhanced moving from CBD to the outskirt area. The distribution of different social classes shows irregular pattern similar to the variation of living environment. The social gap is expected to be more widening between new towns and old towns. The analysis of spatial movement pattern shows no clear hierarchical order because of current shifts towards both multi-nuclear pattern and spatial dispersion. The functional regions show duplicated structure overlapping their boundaries each other. The ‘general field theory of spatial behavior’ strongly suggests that spatial interactions among sub-areas in the city are differentiated from the basic characteristics and function of each sub-area. The attributes of homogeneous regions and functional regions are interrelated in the characteristics of isomorphic nature.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.1077-1085
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• 2017

Urban space is a place that shows the behavior, experience and lifestyle of residents. Also by the combination of local attributes and assets, creating a space that reflects the unique image of the city. For the development of the city, it is important to actively reflect the identity of the space created by the difference of each space. In this study, we focused on the disparate of space and found the characteristics of urban space. And psychological factors on disparate images of the spatial analysis. As a result, 14 spatial image characteristics of Busan showed difference. In terms of dimensions, it could be classified as an natural, artificial, dynamic, static images. Also, the preference cluster of individuals showed a positive response in naturalness, openness, gentle slope and static space.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.759-762
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• 2018

최근 들어 점차 지능형 서비스 로봇들이 인간의 실생활 속으로 들어옴에 따라, 로봇 스스로 다양한 물체들을 효과적으로 조작할 수 있는 지식을 습득하는 기계 학습 기술들이 매우 주목을 받고 있다. 전통적으로 로봇 행위 학습 분야에는 강화 학습 혹은 심층 강화 학습 기술들이 주로 많이 적용되어 왔으나, 이들은 대부분 물체 조작 작업과 같이 다차원 연속 상태 공간과 행동 공간에서 최적의 행동 정책을 학습하는데 여러가지 한계점을 가지고 있다. 따라서 본 논문에서는 전문가의 데모 데이터를 활용해 보다 효율적으로 물체 조작 행위들을 학습할 수 있는 모방 학습과 강화 학습의 통합 프레임워크를 제안한다. 이 통합 프레임워크는 학습의 효율성을 향상시키기 위해, 기존의 GAIL 학습 체계를 토대로 PPO 기반 강화 학습 단계의 도입, 보상 함수의 확장, 상태 유사도 기반 데모 선택 전략의 채용 등을 새롭게 시도한 것이다. 다양한 성능 비교 실험들을 통해, 본 논문에서 제안한 통합 학습 프레임워크인 PGAIL의 우수성을 확인할 수 있었다.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.1019-1035
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• 2020

This study examines the millennial generation, who express themselves and share information on social media after experiencing constantly changing 'hot places' (places of interest) in contemporary cities, with the goal of analyzing space consumption behaviors. Data were collected via an Instagram crawler application developed with Python 3.4 administered to 19,262 posts using the term 'hot places' from November 1 and December 15, 2019. Issues were derived from a text mining technique using Textom 2.0; in addition, semantic network analysis using Ucinet6 and the NetDraw program were also conducted. The results are as follows. First, a frequency analysis of keywords for hot places indicated words frequently found in nouns were related to food, local names, SNS and timing. Words related to positive emotions felt in experience, and words related to behavior in hot places appeared in predicate. Based on importance, communication is the most important keyword and influenced all issues. Second, the results of visualization of semantic network analysis revealed four categories in the scope of the definition of "hot place": (1) culinary exploration, (2) atmosphere of cafés, (3) happy daily life of 'me' expressed in images, (4) emotional photos.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.81-81
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• 2020

4차산업 혁명 이후, 빅 데이터는 사이버 공간을 통한 사회적 파장이 큰 사건들에 대한 대중의 정보 수집 패턴을 이해하는 데에 있어서 전에 경험하지 못한 급속한 발전을 이루어 왔다. 사이버 공간에서 이루어지는 대중들의 정보수집 활동을 모니터링하므로서 대중들사이에서 떠오르는 주제나 사건을 파악하기에 좋은 인덱스로 여러 사회 경제분야에 활용되어 왔다. 하지만, 수자원 관리 및 방재관점에서는 이런 빅데이터을 활용한 연구 사례는 찾아 보기 힘들다. 하지만, 이런 빅데이터를 가뭄기에 대중들이 어떻게 반응하였는지를 연구하는 데에 활용될 수 있다. 이 발표에서 발표자는 미국 2011-17년 캘리포니아 가뭄의 선례연구들을 통해 주 또는 국가 범위에서 구글 이용자들의 정보수집 활동을 기록한 구글트렌즈 데이터를 가뭄기동안 대중의 정보 수집량을 바탕으로 가뭄 위험 인지도를 정의하고 대중의 행동 양식을 이해하는 데에 어떻게 활용할 수 있는 지를 소개한다. 첫번째로, 최근 캘리포니아에서 발생한 다년간의 가뭄동안 그 주안의 주민들의 행동양식 분석 결과를 소개한다. 두번째로는 미국 49개의 주에서 지난 2004년부터 2018년동안의 지역적 가뭄에 대한 대중의 가뭄 위험인지도를 시공간적인 양식을 주성분분석기술을 통해 분석한 결과을 소개한다. 끝으로, 발표자는 지난 미국 선례 연구들에서 발표자가 제안한 기술이 어떻게 대한민국에서 홍수나 가뭄 방재에 적용할 수 있으며 앞으로 대한민국을 수재해에 준비된 나라로 만드는 데에 있어서 빅데이터의 역할을 제시하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.517-520
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• 2006

Crowd behavioral scenes in virtual underwater world are presented in many entertainments such as films and games. According to the increase of digital films and animations caused by the development of computer graphics, it is easy for us to meet with the cyber characters in those scenes. Characters which appear in computer animation put life into virtual world. The more characters we have in this virtual space, the deeper we are immersed in the space. There were many researches which processed the crowd scene and implemented the crowd behavior system in Korea. They were related to developing VR contents which were available to feel actually in the construction of the virtual environment. But they are far from reaching the step to put to practical use in developing the crowd behavior modeler. Therefore, we suggestion the fish schooling behavior modeler that provides interaction and action behavior in 3D object to present vividly and effectively in underwater world.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.624-628
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• 2008

The purpose of this study is to investigate the "map of mind" or subjectivity regarding consumption behaviors of consumers in the digital environment. This study investigated the values and psychological and behavioral characteristics that motivate consumption for each types of consumers in digital environment. 76 Statements were selected from literature review and popular press articles that introduced consumption related phenomena. A total of 33 participants included experts on digital consumption and lay person, The results indicated that there are 6 groups representing Korean consumption patterns in digital environment: Digital Modernist, Digital Boomer, Digital Chic, Digital Ludens, Digital Conservative, and Digital Renaissance. This research is meaningful in that it provides a framework to view the diverse consumption behaviors in a more holistic rather than independent perspective, considering psychological aspects such as personal values and lifestyles.

• Smart Media Journal
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• v.11 no.1
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• pp.46-57
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• 2022

In this paper, multi-region based Radial Graph Convolutional Network (MRGCN) algorithm which can perform end-to-end action recognition using the optical flow and gradient of input image is described. Because this method does not use information of skeleton that is difficult to acquire and complicated to estimate, it can be used in general CCTV environment in which only video camera is used. The novelty of MRGCN is that it expresses the optical flow and gradient of the input image as directional histograms and then converts it into six feature vectors to reduce the amount of computational load and uses a newly developed radial type network model to hierarchically propagate the deformation and shape change of the human body in spatio-temporal space. Another important feature is that the data input areas are arranged being overlapped each other, so that information is not spatially disconnected among input nodes. As a result of performing MRGCN's action recognition performance evaluation experiment for 30 actions, it was possible to obtain Top-1 accuracy of 84.78%, which is superior to the existing GCN-based action recognition method using skeleton data as an input.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.224-233
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• 2023

The purpose of this study is to investigate the effect of environmental classes using EBS program on the environmental sensitivity and environmentally responsible behavior of 6th grade elementary school students. To this end, the 2015 revised elementary school curriculum was reconstructed for 6th grade students, and subject-centered environmental classes were planned, and EBS educational broadcasting environmental contents suitable for each class were applied and utilized. The conclusion of this study is as follows. First, this study analyzed the 2015 revised curriculum and reorganized the 6th grade curriculum and creative experience activities to plan the 22nd environmental class, specifying environmental sensitivity and environmentally responsible behavior that can have a positive impact on learners in each class. EBS educational broadcasting environmental contents that can be utilized were selected and environmental classes were conducted using them. Second, it was found that environmental classes using EBS educational broadcasting had a significant effect on improving the environmental sensitivity of elementary school students. The fact that environmental classes using EBS educational broadcasting goes beyond the spatial limitations of schools and informs that global citizens are interested in environmental problems and are working to solve environmental problems. Third, it was found that environmental classes using EBS educational broadcasting had a significant effect on elementary school students' environmentally responsible behavior. This is because environmental classes using EBS educational broadcasting do not stop at imparting knowledge, but suggest learning that leads to civic behavior, educational behavior, economic behavior, physical behavior, and persuasive behavior related to the environment.