• Title/Summary/Keyword: 커뮤니티 발견

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Keyword Network Analysis for Technology Forecasting (기술예측을 위한 특허 키워드 네트워크 분석)

  • Choi, Jin-Ho;Kim, Hee-Su;Im, Nam-Gyu
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.227-240
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    • 2011
  • New concepts and ideas often result from extensive recombination of existing concepts or ideas. Both researchers and developers build on existing concepts and ideas in published papers or registered patents to develop new theories and technologies that in turn serve as a basis for further development. As the importance of patent increases, so does that of patent analysis. Patent analysis is largely divided into network-based and keyword-based analyses. The former lacks its ability to analyze information technology in details while the letter is unable to identify the relationship between such technologies. In order to overcome the limitations of network-based and keyword-based analyses, this study, which blends those two methods, suggests the keyword network based analysis methodology. In this study, we collected significant technology information in each patent that is related to Light Emitting Diode (LED) through text mining, built a keyword network, and then executed a community network analysis on the collected data. The results of analysis are as the following. First, the patent keyword network indicated very low density and exceptionally high clustering coefficient. Technically, density is obtained by dividing the number of ties in a network by the number of all possible ties. The value ranges between 0 and 1, with higher values indicating denser networks and lower values indicating sparser networks. In real-world networks, the density varies depending on the size of a network; increasing the size of a network generally leads to a decrease in the density. The clustering coefficient is a network-level measure that illustrates the tendency of nodes to cluster in densely interconnected modules. This measure is to show the small-world property in which a network can be highly clustered even though it has a small average distance between nodes in spite of the large number of nodes. Therefore, high density in patent keyword network means that nodes in the patent keyword network are connected sporadically, and high clustering coefficient shows that nodes in the network are closely connected one another. Second, the cumulative degree distribution of the patent keyword network, as any other knowledge network like citation network or collaboration network, followed a clear power-law distribution. A well-known mechanism of this pattern is the preferential attachment mechanism, whereby a node with more links is likely to attain further new links in the evolution of the corresponding network. Unlike general normal distributions, the power-law distribution does not have a representative scale. This means that one cannot pick a representative or an average because there is always a considerable probability of finding much larger values. Networks with power-law distributions are therefore often referred to as scale-free networks. The presence of heavy-tailed scale-free distribution represents the fundamental signature of an emergent collective behavior of the actors who contribute to forming the network. In our context, the more frequently a patent keyword is used, the more often it is selected by researchers and is associated with other keywords or concepts to constitute and convey new patents or technologies. The evidence of power-law distribution implies that the preferential attachment mechanism suggests the origin of heavy-tailed distributions in a wide range of growing patent keyword network. Third, we found that among keywords that flew into a particular field, the vast majority of keywords with new links join existing keywords in the associated community in forming the concept of a new patent. This finding resulted in the same outcomes for both the short-term period (4-year) and long-term period (10-year) analyses. Furthermore, using the keyword combination information that was derived from the methodology suggested by our study enables one to forecast which concepts combine to form a new patent dimension and refer to those concepts when developing a new patent.

A Visual Methods Approach to the Formation of Class Identity and Practices of Everyday Life -A Case Study on Youths of 'Gangbuk' ('강북' 청소년들의 일상생활 문화와 계급 정체성 형성에 대한 영상방법론적 연구)

  • Lee, Sangkyu;Hong, Seok-Kyeong
    • Korean journal of communication and information
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    • v.68
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    • pp.87-129
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    • 2014
  • This paper addresses questions on the marginalized position of youths of 'Gangbuk' and elucidates how they construct their own identities in the individual trajectories of everyday life. Three years of research, including participatory observation and in-depth interviews, was conducted on nine students from Northeastern district of Seoul. The research also adopted reflexive photography interview method in order to encourage the informants to actively participate in the research. The result illustrates the diversity of the everyday life experiences. More 'marginalized' youths from middle to lower class background had to endure the burdens of their daily lives without programs. Still, they were elaborating their own cultural taste and positive self-narratives at the periphery of the mainstream culture, by practicing music, online community activities and bodily performances. They had to negotiate the crucial turn of life after their graduation, when they entered into the harsh social competition with limited resources. We observed how they gradually assimilate the identity of the 'working youth', some of them developing a positive valorization of their experiences labor. Findings underline the active role of the cultural practices in the making of class identity of the youth and the necessity of researches situating the making of class identity and the reproduction of the class for the youth in the larger geography of class culture in the contemporary Korean society. Lastly, it is argued that these youths should not be considered as determined subjects, who reproduce already established class identities, but as active agents of their lives who deserve more respects and attentions from the society.

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The Meaning of Pre-service Educare Teachers' Experiences about Child Safety Management Classes based on Problem Based Learning (PBL) (문제중심학습(PBL)을 적용한 아동안전관리 수업이 예비보육교사에게 주는 경험의 의미)

  • Seo, Young Hee;Jung, Hye Young
    • Korean Journal of Childcare and Education
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    • v.8 no.1
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    • pp.145-167
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    • 2012
  • The objective of this study is to investigate the meaning of pre-service educare teachers' experience about child safety management classes based on Problem Based Learning (PBL). The participants in this study were thirty five sophomores majoring in Social Welfare, and fifteen weeks of data were collected. The participants were given five problems that were related with real situations. During the given period, they made documents from reflective journals, group or individual interviews, and online community resources. Analyzing the documents sheds light on the meaning of the pre-service educare teachers' experience. The results are as follows: First, pre-service educare teachers found themselves recovering confidence, earning recognitions from others, and pursuing their study. Second, they showed continuous conflicts not only with the PBL approach but also with themselves and group members. Finally, they experienced mutual help and interactions among the group members thorough their cooperative learning and they realized the meaning of cooperative learning by means of comparisons and references between the groups. In conclusion, this study confirms the applicability of PBL to the educare teacher training courses and points out specific ways to alleviate the conflicts in applying PBL to class needs in future studies.

A Deep Learning-based Depression Trend Analysis of Korean on Social Media (딥러닝 기반 소셜미디어 한글 텍스트 우울 경향 분석)

  • Park, Seojeong;Lee, Soobin;Kim, Woo Jung;Song, Min
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.91-117
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    • 2022
  • The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.

An investigation of the User Research Techniques in the User-Centered Design Framework - Focused on the on-line community services development for 13-18 Young Adults (사용자 중심 디자인 프레임워크에서 사용자 조사기법의 역할에 관한 연구 - 13-18 청소년용 온라인 커뮤니티 컨텐트 개발 프로젝트를 중심으로)

  • 이종호
    • Archives of design research
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    • v.17 no.2
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    • pp.77-86
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    • 2004
  • User-Centered Design Approach plays important role in dealing with usability issues for developing modern technology products. Yet it is still questionable whether the User-Centered approach is enough for the development of successful consumer contents since the User-Centered Design is originated from the software engineering field where meeting customers' functional requirement is the most critical aspect in developing a software. However, modern consumer market is already saturated and in order to meet ever increasing consumer requirements, the User-Centered Design approach needs to be expanded. As a way of incorporating the User-Centered Approach into the consumer product development, Jordan suggested the 'Pleasure-based Approach' in industrial design field, which usually generates multi-dimensional user requirements: 1)physical, 2)cognitive, 3)identity and 4) social. It is the current tendency that many portal and community service providers focus on fulfilling both functional and emotional needs for users when developing new items, contents and services. Previously fulfilling consumers' emotional needs solely depend on visual designer's graphical sense and capability. However, taking the customer-centered approach on withdrawing consumers' unknown needs is getting critical in the competitive market environment. This paper reviews different types of user research techniques and categorized into 6 ways based on Kano(1992)'s product quality model. Based on his theory, only performance factors, such as suability, can be identified through the user-centered design approach. The user-centered design approach has to be expanded to include factors include personality, sociability, pleasure, and so on. In order to identify performance as well as excellent factors through user research, a user-research framework was established and tested through the case study, which is ' the development of new online service for teens '. The results of the user research were summarized at the end of the paper and the pros and cons of each research techniques were analyzed.

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Topic Modeling Insomnia Social Media Corpus using BERTopic and Building Automatic Deep Learning Classification Model (BERTopic을 활용한 불면증 소셜 데이터 토픽 모델링 및 불면증 경향 문헌 딥러닝 자동분류 모델 구축)

  • Ko, Young Soo;Lee, Soobin;Cha, Minjung;Kim, Seongdeok;Lee, Juhee;Han, Ji Yeong;Song, Min
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.111-129
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    • 2022
  • Insomnia is a chronic disease in modern society, with the number of new patients increasing by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis and treatment because the individual and social problems that occur when there is a lack of sleep are serious and the triggers of insomnia are complex. This study collected 5,699 data from 'insomnia', a community on 'Reddit', a social media that freely expresses opinions. Based on the International Classification of Sleep Disorders ICSD-3 standard and the guidelines with the help of experts, the insomnia corpus was constructed by tagging them as insomnia tendency documents and non-insomnia tendency documents. Five deep learning language models (BERT, RoBERTa, ALBERT, ELECTRA, XLNet) were trained using the constructed insomnia corpus as training data. As a result of performance evaluation, RoBERTa showed the highest performance with an accuracy of 81.33%. In order to in-depth analysis of insomnia social data, topic modeling was performed using the newly emerged BERTopic method by supplementing the weaknesses of LDA, which is widely used in the past. As a result of the analysis, 8 subject groups ('Negative emotions', 'Advice and help and gratitude', 'Insomnia-related diseases', 'Sleeping pills', 'Exercise and eating habits', 'Physical characteristics', 'Activity characteristics', 'Environmental characteristics') could be confirmed. Users expressed negative emotions and sought help and advice from the Reddit insomnia community. In addition, they mentioned diseases related to insomnia, shared discourse on the use of sleeping pills, and expressed interest in exercise and eating habits. As insomnia-related characteristics, we found physical characteristics such as breathing, pregnancy, and heart, active characteristics such as zombies, hypnic jerk, and groggy, and environmental characteristics such as sunlight, blankets, temperature, and naps.

Trend of standardization in the field of Industrial Security through ISO/TC 292 (ISO/TC 292에 의한 산업보안 분야 국제표준화의 동향)

  • Park, Hyeon-Ho
    • Korean Security Journal
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    • no.48
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    • pp.79-111
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    • 2016
  • This study aims at analyzing the global trend of standardization in the field of Industrial Security through ISO/TC 292. It covers broad areas from risk management for industrial property protection and loss prevention through supply chain security, product and document fraud and counterfeiting countermeasures and control and community resilience. It also explores the historical background of the standardization in the security field, how ISO TC 292 came out as a leading group in order to standardize relevant security management systems. TC 292 deals with terminology, general security-related standards and supply chain security management. One of the major findings from this analysis is that security targets and threats are diversified and so organizations like enterprises should have proper flexibility to adapt themselves to new security environment and take appropriate resilience system to cope with the threats and incidents. Also the ISO standardization requires public or private entities to take holistic approaches in security management. Finally, it was found that South Korea has to prepare for this global trend of standardization in this field so that ISO certification market demand and the requirements for transnational trades can be well met.

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Communal Ontology of Landmarks for Urban Regional Navigation (도시 지역 이동을 위한 랜드마크의 공유 온톨로지 연구)

  • Hong, Il-Young
    • Journal of the Korean Geographical Society
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    • v.41 no.5 s.116
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    • pp.582-599
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    • 2006
  • Due to the growing popularity of mobile information technology, more people, especially in the general public, have access to computerized geospatial information systems for wayfinding tasks or urban navigation. One of the problems with the current services is that, whether the users are exploring or navigating, whether they are travelers who are totally new to a region or long-term residents who have a fair amount of regional knowledge, the same method is applied and the direction are given in the same way. However, spatial knowledge for a given urban region expands in proportion to residency. Urban navigation is highly dependent on cognitive mental images, which is developed through spatial experience and social communication. Thus, the wayfinding service for a regional community can be highly supported, using well-known regional places. This research is to develop the framework for urban navigation within a regional community. The concept of communal ontology is proposed to aid in urban regional navigation. The experimental work was implemented with case study to collect regional landmarks, develop the ontological model and represent it with formal structure. The final product of this study will provide the geographical information of a region to the other agent and be the fundamental information structure for cognitive urban regional navigation.

What Shall We Do for the Academic Information Systems Sustainability?: The Role of Mindfulness (지속 가능한 대학 경쟁력의 원천: 마을챙김의 대학 정보화)

  • Kim, Yong-Young;Ahn, Joong-Ho;Oh, Sang-Jo
    • Information Systems Review
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    • v.11 no.2
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    • pp.1-22
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    • 2009
  • IT advances rapidly and is widely used both in for-profit and non-profit organizations. Academic institutions are no exception in the adoption of new IT such as e-libraries, e-blackboards, as well as Web 2.0 services. However, administrative information systems in colleges and universities often lag relatively behind. One of the reasons of this is that academic institutions tend to focus only on the implementation of IT, while neglecting the mindfulness needed for post-implementation. This study develops a new perspective for the sustainability of academic information systems through the lens of mindfulness. The results from administrating a nation-wide survey of universities and colleges provide the variations of a ranking of the critical success factors between implementation and post-implementation. The findings imply that both individual and collective mindfulness are needed to implement and, especially, sustain administrative IS successfully in academic institutions.

A Matter of Professionalism: Academic Misconduct of Veterinary Students (수의전문직업성 측면에서 본 수의과대학 학생의 학습윤리)

  • Chun, Myung-Sun;Ryu, Pan-Dong;Yoon, Junghee
    • Journal of Veterinary Clinics
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    • v.32 no.2
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    • pp.174-179
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    • 2015
  • Academic integrity guarantees the professional integrity and validity of the education and qualifications offered by the veterinary schools. In this study, we analyzed the responses of 528 veterinary students of two veterinary schools in Seoul regarding their awareness about, knowledge of, and frequency of engaging in academic misconduct. A total of 88.4 percent of the participants agreed that cheating and plagiarism by undergraduates would influence their future academic misconduct. The most common form of academic misconduct was plagiarism (71.7% in the A school, 69.5% in the B school), with falsification (40.2% in the A school, 31.7% in the B school) also reported at a high rate. Students indicated the lack of a culture of academic integrity as the main reason for academic misconduct. According to the regression analysis students' awareness and knowledge of academic integrity and their perception of peers' academic misconduct predicted a significant amount of variance of the frequency of academic misconduct. The findings of this study support that academic integrity should be learned in a flexible format from an early stage of professional development in veterinary curriculum. In parallel with the efforts of faculty, a community approach may be likely to improve the academic environment in terms of integrity.