• 제목/요약/키워드: Semantic change

검색결과 189건 처리시간 0.024초

간호교육기관의 교육목적 및 교육목표에 대한 토픽 모델링 (Educational goals and objectives of nursing education programs: Topic modeling)

  • 박은준;옥종선;박찬숙
    • 한국간호교육학회지
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    • 제28권4호
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    • pp.400-410
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    • 2022
  • Purpose: This study aimed to understand the keywords and major topics of the educational goals and objectives of nursing educational institutions in South Korea. Methods: From May 10 to May 20, 2022, the educational goals and objectives of all 201 nursing educational institutions in South Korea were collected. Using the NetMiner program, degree and degree centrality, semantic structure, and topic modeling were analyzed. Results: The top keywords and semantic structures of educational goals included 'respect for human (life)-spirit-science-based on, global-competency-professional nurse-nursing personnel-training, professional-science-knowledge-skills, and patients-therapeutic care-relationship.' The educational goals' major topics were clients well-being based on science and respect for human life, a practicing nurse with capabilities and spirit, fostering a nursing personnel with creativity and professionalism, and training of global nurses. The top keywords and semantic structures of the educational objectives included 'holistic care-nursing-research-action-capability, critical thinking-health-problem solving-capability, and efficiency-communication-collaboration-capability.' The educational objectives' major topics were 'nursing professionalism, communication and problem-solving capability; a change of healthcare environments and a progress of nursing practices; fostering professional nurses with creativity and global capability; and clients' health and nursing practice.' Conclusion: Educational goals in nursing presented specific nursing values and concepts, such as respect for human life, therapeutic care relationships, and the promotion of well-being. Educational objectives in nursing presented the competencies of nurses as defined by the Korean Accreditation Board of Nursing Education (KABONE). Recently, the KABONE announced new program outcomes and competencies, which will require the revision of educational goals. To achieve those educational objectives, it is suggested that the expected level of competencies be clearly defined for nursing graduates.

현대 패션에 나타난 불확정성의 의미해석 - 2000년대 이후 패션을 중심으로 - (A Semantic Analysis of the Indeterminacy in Contemporary Fashion - Focusing on Fashion Since 2000 -)

  • 황혜진;김민자
    • 복식
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    • 제62권5호
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    • pp.1-15
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    • 2012
  • In a fast changing postmodern society, contemporary fashion is becoming more complicated and ambiguous along with other genres of art than ever before. This phenomenon reigning as a sociocultural paradigm can be defined as 'indeterminacy' and it means 'undecidability'. The purpose of this study is to clarify and analyze the indeterminate characteristics of contemporary fashion reviewing the theoretical background and the architectural formativeness as a comparative research. The core idea of deconstructivism dismantles a causal relationship between function and form in fashion and the conventional notion about clothes. Complexity theory, which is the study of chaotic dynamical systems, suggests the creative idea and concept of infinite possibilities on a formative method. Meanwhile, catastrophe theory of discontinuous change can be used as interpretative strategies for the process of deconstruction and reconstruction. As a result of this study, the indeterminacy of fashion can be analyzed into five semantic categories: irregularity, immateriality, randomness, complexity and changeability. The intrinsic value of the indeterminacy in contemporary fashion is the interaction with a sociocultural ideology and a technological environment as well as an expansion of formative expression. To conclude, it can be said that the indeterminacy in fashion is a new interpretation of the relationship among body and space, clothes and society.

스키마 진화를 지원하는 인스턴스 접근처리시스템의 설계 및 구현 (Design and Implementation of an Instance Access Handling System for Supporting Schema Evolution)

  • 진민;김봉진
    • 한국정보처리학회논문지
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    • 제7권12호
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    • pp.3753-3761
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    • 2000
  • 스키마 진화 환경에서는 여러 버전의 스키마와 각각의 스키마버전에서 생성된 인스턴스가 데이터베이스에 존재한다. 본 논문은 객체관계형 데이타베이스에서 개별 클래스를 버전화하는 방법을 이용한 스키마 진화 환경에서, 인스턴스가 생성된 스키마 버전에 관계없이 인스턴스에 접근하는 방법을 제안한다. 본 논문에서는 설계된 접근처리 루틴은 인스턴스를 생성한 버전에 정의되지 않은 속성에 대한 접근을 지원한다. 또한, 연속적인 갱신/역갱신 함수의 적용이나 모든 버전 쌍에 대한 처리 함수를 정의할 필요 없이 의미정보의 쌍에 대해서 접근처리 루틴을 제공하여 속성의 의미정보 변화를 지원한다. 그리고 기존의 SQL에 VERSION 조건절을 추가하여 버전에 대한 질의를 지원하고 WHERE 조건절에 의미정보를 명시함으로써 속성의 의미정보를 이용한 질의를 지원한다.

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국내의 생태복원기술 연구동향에 관한 사회네트워크분석 (Social Network Analysis on the Research Trend of Korean Ecological Restoration Technology)

  • 김보미;이동근
    • 한국환경복원기술학회지
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    • 제21권3호
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    • pp.67-81
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    • 2018
  • We tried to analyze qualitatively a total of 110 the research papers which were related domestic ecological restoration technologies about 15 years through semantic network analysis in social network analysis. In order to understand the research trends of ecological restoration technologies, we analyzed the degree centrality and betweenness centrality of the Stream/Wetland, Slope, Soil/Others fields selected as Word Cloud. As a result, ecological restoration technologies have been changed. They were focused on the restoration of species or their habitats in the past. However, they have been evolved into the detailed systems to respond in unpredictable natural disasters and climate change, high-resolution image implementation technology to accurately grasp the practical environment and methods related to environmental restoration for human in urban ecosystem. In the future, investment and technology for the ecosystem restoration field will be continuously demanded for the symbiosis of human beings and species in the damaged ecosystem. Therefore, the research trend of ecological restoration technologies should be provided as reliable guidelines when decision makers establish the policy direction or when researchers select their subjects.

A Study on Changes in Korean Image of Foreign Tourists Using Big Data - Post COVID-19 -

  • Yoo, Kyoung-Mi;Choi, Youn-Hee;Ryu, Gi-Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.72-78
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    • 2021
  • Currently, the Korean wave is not limited to popular culture, but has a significant impact not only on Korea's national image but also on the improvement of Korean companies' products and image of Korea. In this study, using Textom to confirm the change in foreign tourists' image of Korea, the data collection period was 1 year of 2020, when COVID 19 occurred, as a collection period for "Korea and foreigner" and related key words, each Hallyu content, and ranked in the top 80 keywords were derived. Centrality analysis for semantic network visualization was performed using UCINET6, and through CONCOR analysis, 7 groups 'K-Quarantine ', 'K-Drama', 'K-Movie', 'K-Beauty', 'K-Shopping', It was clustered into 'K-Tech' and 'K-Pop'. As a result of the analysis, the image of Korea abroad generally recognized the Korean Wave as cultural content, but after the outbreak of COVID 19, it is judged that it has been recognized as a country with a successful case of K-Quarantine.

관광분야 생성형 AI ChatGPT 패러다임 탐색을 위한 의미연결망 연구 (A Study on the Semantic Network Analysis for Exploring the Generative AI ChatGPT Paradigm in Tourism Section)

  • 한장헌
    • 디지털산업정보학회논문지
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    • 제19권4호
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    • pp.87-96
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    • 2023
  • ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

여자수의 디자인에 대한 감성선호도 분석 (The Analysis of Sensibillity Preference of Women's Shroud Design)

  • 이춘희;김종무
    • 한국의상디자인학회지
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    • 제17권4호
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    • pp.15-29
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    • 2015
  • Apart from keeping the body pleasant and protecting it from the environment, the purpose of clothing is to express one's sensibility, sense of belonging, status, and aesthetic sense. In the past, hanbok was also used to express status and class with the colors and the types and according to the times, the forms of hanbok has changed. Nowadays, people choose and wear hanbok that suits their tastes or purposes and various types of hanbok that considered pros and cons of it are now disseminated. Given this reality, traditional shrouds that are worn by the dead should also be designed newly to fit the modern trend. This research aims to analyze how people's sensibility preferences change on the traditional shrouds and the modern shrouds that are designed to fit the current trend. To see the change, this research analyzes sensibility preferences by using Semantic Differential Method on 4 modern shrouds that are used in preceding research and 1 traditional shroud. The survey was answered by total of 130 ordinary people in groups of 26 people in 5 groups who reside in Seoul and Kyungkhi province. As the result of the analysis, firstly, people preferred "high quality", "elegant", and "Korean" sensibility words for modern shrouds 1, 2, 3, and 4. Secondly, on traditional shroud, "uncomfortable", "neutral-elegant", "neutral-Korean", and "neutral-quality" that is closer to low quality sensibility words are preferred. Thirdly, "modest" and "extravagant" did not show any statistically significant difference. I hope this research can provide basic data that can be used to understand and comprehend on people's sensibility preference about shroud designs.

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RJCC 연구 키워드 네트워크 - 동시출현단어분석과 군집분석 - (Keyword networks in RJCC research - A co-word analysis and clustering -)

  • 서현진;최영현;오승택;이규혜
    • 복식문화연구
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    • 제27권3호
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    • pp.193-205
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    • 2019
  • A trend analysis of research articles in a field of knowledge is significant because it can help in finding out the structural characteristics of the field and the future direction of research through observing change in a time series. We identified the structural characteristics and trends in text data (keywords) gathered from research articles which in itself is an important task in various research areas. The titles and keywords were crawled from research articles published from 2016 to 2018 in the Research Journal of the Costume Culture (RJCC), one of the representative Korean journal in the field of clothing and textile. After we extracted data comprising English titles and keywords from 195 published articles, we transformed it into a 1-mode matrix. We used measures from network analysis (i.e., link, strength, and degree centrality) for evaluating meaningful patterns and trends in the research on clothing and textile. NodeXL was used for visualizing the semantic network. This study observed change in the clothing and textile research trend. In addition to covering the core areas of the field, the subjects of research have been diversifying with every passing year and have evolved onto a developmental direction. The most studied area in articles published by the RJCC was fashion retailing/consumer psychology while aesthetic/historic and fashion industry/policy studies were covered to a more limited extent. We observed that most of the studies reflecting the identity of RJCC share subject keywords to a significant extent.

손실함수의 특성에 따른 UNet++ 모델에 의한 변화탐지 결과 분석 (Analysis of Change Detection Results by UNet++ Models According to the Characteristics of Loss Function)

  • 정미라;최호성;최재완
    • 대한원격탐사학회지
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    • 제36권5_2호
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    • pp.929-937
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    • 2020
  • 본 논문에서는 의미론적 분할을 위한 딥러닝 기술 중의 하나인 UNet++ 모델을 이용하여 다시기 위성영상의 변화지역을 탐지하고자 하였다. 다양한 손실함수에 대한 학습결과를 분석하기 위하여, 이진 교차 엔트로피, 자카드 변수에 의하여 학습된 UNet++ 모델에 의한 변화탐지 결과를 평가하였다. 또한, 딥러닝 모델의 결과는 WorldView-3 위성영상을 활용하여 기존의 화소기반 변화탐지 기법의 결과와 비교하여 평가하였다. 실험결과, 손실함수의 특성에 따라서 딥러닝 모델의 성능이 달라질 수 있음을 확인하였으나, 기존 기법들과 비교하여 우수한 결과를 나타내는 것도 확인하였다.

사동화에 의한 논항구조와 사건구조와 변화

  • 김윤신
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2001년도 학술대회 논문집
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    • pp.25-58
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    • 2001
  • This study explores the lexical-semantic structure of derived causative verbs in Korean based on Pustejovsky(1995)'s Generative Lexicon Theory (GL), Mor-phological causative verbs are derived from their root stems by affixing ‘-i, -hi, -li, -gi’ in Korean and the meanings of derived predicates are closely related to the meanings of their root verbs. In particular, the change of the ARGUMENT STRUCTURE by morphological derivation leads to the change of the EVENT STRUCTURE. In this study, causation is defined as the cause-effect relation having a causer. The ARGUMENT STRUCTURES of derived causative verbs includes a causer argument, which is added to the ARGUMENT STRUCTURE of their root verbs. Their EVENT STRUCTURE has a headed process related to a causer and their result is the event which their root verbs represent. This approach can also suggest that the (in)directness of causative is determined by which verb is its root and explain the difference between the morphological causativization and the syntactic causativization in Korean.

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