• The Research Journal of the Costume Culture
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• v.30 no.5
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• pp.766-778
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• 2022

Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user's interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user's negative self-esteem.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.283-292
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• 2019

The loss of semantic knowledge and impairments in semantic associations by semantic category is gaining increasing attention, as indicators of early-stage cognitive decline. As such, we assigned semantic association task (SAT) to normal elderly (NE) and those with subjective memory impairment (SMI) or mild cognitive impairment (MCI) to examine their performance by semantic subcategories and the differences in error patterns. We found a significant difference in the number of correct response and reaction time under the SAT categories among the three groups, with the highest performance observed in 'function' and the lowest performance in 'superordinate' and 'part/whole'. Moreover, the error frequency was the lowest in NE, followed by those with SMI and MCI, with the latter two groups showing a significant increase in no-response. Our findings demonstrate the varying extent and process of impairments in the semantic network by category over different stages of cognitive decline. Thus, we proposed SAT performance as an indicator to detect and follow-up on cognitive decline in elderly with cognitive disorder.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.320-320
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• 2012

수문학적 의미의 일반적인 물순환은 증발, 응결, 강수 등 태양에너지와 중력에 의해 전지구적으로 반복되는 물의 재생산과정을 의미한다. 최근 들어 토목분야에서 언급되기 시작한 물순환시스템은 수문학적인 물수지(water balance)에 저류, 공급, 처리, 재이용 등 인공적인 요소를 감안하여 대상지역의 적절한 수요, 공급을 유지하는 시스템을 의미한다. 생활에서 물이 차지하는 중요성을 감안할 때, 지역의 수문학적 특성과 문화, 경제적 여건을 고려한 효율적인 물순환시스템의 구축은 지역발전의 정도를 가늠할 수 있는 지표라 할 수 있다. 본 연구는 물산업 선진국인 영국과 미국의 지역 물순환시스템 설계사례를 조사하고 초기단계인 국내사례와 비교하여 향후 설계지침 개발의 기초자료로 활용하기 위하여 수행되었다. 선진사례 조사는 2009년 이후 미국과 영국에서 수행된 세 건의 물순환 현황조사(water cycle study)와 미국에서 개발된 설계최적화 프로그램을 분석하였고, 국내사례로는 파주운정지구와 광교신도시 개발 시 수행된 물순환시스템 구축사례를 조사하였다. 해외 선진국 사례조사 결과, 물순환시스템 구축은 공통적으로 물순환망 현황조사, 물순환 계획수립, 지역현황 조사, 적용가능 기술조사, 설계 등 5단계를 거쳐 수행되었다. 이 중 가장 중요한 단계는 지역의 물수지와 가용 물 수요 및 공급 시스템을 조사하는 물순환망 현황조사로, 지역의 needs를 정확히 파악하고 양적, 질적 공급목표를 적절하게 선정하여 가장 효율적인 물순환망 계획을 수립하는 바탕이 되었다. 지역현황은 지역 법규 및 투자계획, 사회변화 예측 등 사회적 요소를 고려하는 단계로, 물순환 설계 선진사의 설계 최적화 프로그램의 경우 이러한 지역현황과 사회적 변화 예측의 반영에서 차별성을 갖고 있었다. 적용가능 기술조사의 경우 친환경, 저에너지 기술이 부각되던 추세에서 최근에는 지속가능성이 주요 고려사항 이었다. 국내사업 사례의 경우 규모가 작아 직접적인 비교가 불가하였으나, 5단계의 복잡한 최적화단계가 아닌 물순환망 분석결과와 이해당사자(stakeholders)의 needs를 바탕으로 치수안정성, 친수환경 보장 등의 목표를 수립하였다. 국내에서도 향 후 유역규모(watershed scale)의 대형 물순환기반 복합개발사업이나 대규모 해외사업 참여 시 필요한 기술력 축적의 차원에서 단계별 check list를 포함한 한차원 높은 물순환 설계지침 마련이 필요한 시점이라 하겠다.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.391-404
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• 2022

Actor-network theory (ANT) pays attention to the relational effect between human and non-human actors, and transforms numerous networks between these actors by treating non-humans as human-like actors. This paper investigated various non-human actors related to the context before and after the introduction of NCS-based curriculum through ANT. This approach is because as a new system is introduced, the impact on the existing network and conflict situations can be looked at more closely. To this end, the researcher reviewed data from October 2014, when S College discussed whether to introduce an NCS-based curriculum, to February 2017, when practical operation was carried out and graduates were produced. In order to understand ANT theory, we analyzed based on the four stages of translation as claimed by Callon in the ANT theory. As a result, some meanings were confirmed in the case of reforming the curriculum of S College where the NCS-based curriculum was introduced. First, it is an in-depth analysis of the situation surrounding the curriculum, which has been overlooked by research on the existing curriculum. Second, it contributed to interpreting the 'hidden meaning' beyond the 'superficial meaning' of the curriculum within the university. Third, it was possible to indirectly check the conflicts and conflicts with the existing system that appeared in the process of introducing the new system to the College.

• Korean Journal of Cognitive Science
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• v.23 no.2
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• pp.133-164
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• 2012

Paul Churchland(1989) suggests the theory of representation from the results of cognitive biology and connectionist AI studies. According to the theory, our representations of the diverse phenomena in the world can be represented as the positions of phase state spaces with the actions of the neurons or of the assembly of neurons. He insists connectionist AI neural networks can have the semantical category systems to recognize the world. But Fodor and Lepore(1996) don't look the perspective bright. From their points of view, the Churchland's theory of representation stands on the base of Quine's holism, and the network semantics cannot explain how the criteria of semantical content similarity could be possible, and so cannot the theory. This thesis aims to excavate which one is the better between the perspective of the theory and the one of Fodor and Lepore's. From my understandings of state space theory of representation, artificial nets can coordinates the criteria of contents similarity by the learning algorithm. On the basis of these, I can see that Fodor and Lepore's points cannot penetrate the Churchlands' theory. From the view point of the theory, we can see how the future's artificial systems can have the conceptual systems recognizing the world. Therefore we can have the perspectives what cognitive scientists have to focus on.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.15-22
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• 2018

The purpose of this study is to investigate the consumer perception of packaging using big data analysis. This study use text mining to extract meaningful words from text and semantic network analysis to analyze connectivity and propagation trends. Data were collected by dividing the 'packaging(Korean)' and 'packaging(English)'. This study visualized the word network structure of the two key words and classified them into four groups with similar meaning through CONCOR analysis. The group name was specified based on the words constituting the classified group. These groups are a major category of consumers' perception of packaging. Especially cosmetics and design have high frequency of words and high centrality. Therefore it can be expected that the packaging design is perceived as important in the cosmetics industry. This study predicts consumers' perception of packaging so it can be a basis for future research and industry development.

• Review of Culture and Economy
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• v.21 no.2
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• pp.197-229
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• 2018

This study investigates the social discourse for Korean women's leisure culture and analyzes the conflicts between the ideologies which affected to the women's leisure issues with the social and cultural context. For this purpose, this study analyzed a sum of 652,513 words of 4,614 news articles about Korean women's leisure by applying semantic network analysis. In the 1960s, both the enthusiasm for 'modernization' and 'good wife and wise mother' ideologies were simultaneously affected to women's leisure discourse. 'The good wife and wise mother' ideology have a stronger impact on women's leisure culture in the 1970s. In the 1980s, even though the Korean women had higher education background and advanced social status compared to the former periods, both 'good wife and wise mother' ideology and 'modern career women' ideology conflicted each other. The conflicts between the two ideologies were intensified in the 1990s and the women tended to sacrifice their leisure in the course of the ideological conflicts in the 2000s. In the 2010s, women who exhausted due to the intensified conflicts between the two ideologies showed preference for passive forms of leisure.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.175-196
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• 2014

This paper is a theoretical attempt to analyze and understand Yeonjulmang and Yeongyeolmang, which are terms for social networks with negative and positive connotation respectively in Korean Sociology. To do that, we analyze a social network where unilateral help are reciprocated. A social network in this context is a network where the past behaviors of its members are transmitted. With the information how the members behaved before, a social norm can emerge in the network, which facilitate the indirect reciprocation of unilateral help. In this norm, an agent's helping now will be rewarded by his being helped in the future. Since the reward happens in the future, this norm may not be sustained even if it is efficient. To sustain the reciprocation of the help, a norm can evolve to punish the violation of the norm more severely. If the punishment becomes too severe, the reciprocation of the help can be sustained even if it is not efficient any more in that the cost of help exceeds the benefit. If we allow the exit of the network, members have incentive to do it as belonging to the network is not beneficial any more. Then the social network may collapse. To avoid the collapse of the network, the exclusive norm, which exclude even mutually beneficial relationship with outsiders, may emerge. This can explain the emergence of Yeonjulmang, or a closed network, which is inefficient in double senses; 1) it may sustain inefficient reciprocation of help, and 2) the mutually beneficial relationship is excluded between an insider and an outsider of the network.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.469-481
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• 2018

DL (Deep Learning) is getting popular in various fields to implement artificial intelligence that resembles human learning and cognition. DL based on complicate structure of the ANN (Artificial Neural Network) requires computing power and computation cost. Variety of DL models with improved performance have been developed with powerful computer specification. The main purpose of this paper is to detect buildings from aerial images and evaluate performance of Mask R-CNN (Region-based Convolutional Neural Network) developed by FAIR (Facebook AI Research) team recently. Mask R-CNN is a R-CNN that is evaluated to be one of the best ANN models in terms of performance for semantic segmentation with pixel-level accuracy. The performance of the DL models is determined by training ability as well as architecture of the ANN. In this paper, we characteristics of the Mask R-CNN with various types of the images and evaluate possibility of the generalization which is the ultimate goal of the DL. As for future study, it is expected that reliability and generalization of DL will be improved by using a variety of spatial information data for training of the DL models.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.72-74
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• 2012

본 논문은 미래 군에서 CR (Cognitive Radio) 기술을 적용한 전투무선망에서의 효율적인 주파수 사용을 위한 정책기반 동적 채널 선정 구조를 제안한다. 전투무선망에서는 상용의 기지국과 같은 Coordinator가 존재하지 않기 때문에 효율적인 채널 사용을 위해서 각 상황마다 어떻게 대응할 것인가에 대한 고려사항이 있다. 이에 대한 해결책으로 정책기반의 동적 채널 선택 구조를 제안하며, 이는 각 상황에 따른 규칙이나 행동을 사전에 정책으로 정의하여 특정 Coordinator가 없더라도 해당 상황이 발생하면 사전 정의된 정책에 의해서 동적 채널 선택을 하는 것이다. 즉, 전투무선망에서 작전상황이나 전술통신환경의 변화에 따라 PU (Primary User)나 SU (Secondary User)를 동적으로 할당하는 것을 의미한다. 모의 실험결과 별도의 정책 없이 Random하게 동적 채널을 선택하는 기존기법보다 정책기반의 기법이 월등한 성능향상을 보였다.