• Title/Summary/Keyword: 전공학과

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Resilience among Undergraduate Freshmen during the COVID-19 Pandemic: The Development of Resource Promotion Program (COVID-19 팬데믹 상황에서 대학신입생의 회복탄력성: 자원 증진 프로그램의 개발)

  • Kim, Jae Yoon;Lee, So Young;Park, Eunyoung;Mana, Mana;Baek, Joon Sang;Kang, Min Ju
    • Human Ecology Research
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    • v.60 no.2
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    • pp.243-256
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    • 2022
  • Undergraduate freshmen are currently encountering numerous difficulties in adapting to college life due to the outbreak of the COVID-19 pandemic. Thus, several studies have underlined the need to develop interventions focused on undergraduate students' resilience during this situation. We adopted the service design method in identifying the difficulties faced by undergraduate freshmen during this pandemic, and also developed interventions for raising their resilience. The service design method is a person-centered approach which adopts the user's viewpoint in developing solutions, thereby enabling their requirements to be satisfied. Surveys and in-depth interviews revealed that undergraduate freshmen were experiencing psycho-emotional problems which were derived from schoolwork and college life. This is particularly the case with students who are experiencing greater levels of academic difficulty, and were insufficiently equipped with resources such as stress-coping strategies and social support. Four undergraduate freshmen were recruited online to test the effectiveness of a resource promotion program aimed at enhancing their resilience. This program has proved to be helpful in relieving daily/academic stress and in building relationships among freshmen, regarding which the participants showed a high level of satisfaction. The results were discussed by focusing on psycho-emotional difficulties and resources of college freshmen, as well as the effectiveness of the resource promotion program. Further research is required in order to verify the efficiency of the program and to confirm conclusions.

Relationship between Information Security Education and Information Protection Practice of Hospital (의료기관의 정보보호교육과 정보보안생활과의 관련성)

  • Kim, Jongdeok;Hong, Hwayong;Kim, Jae-Hyun
    • Korea Journal of Hospital Management
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    • v.24 no.2
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    • pp.56-66
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    • 2019
  • PURPOSE: To demonstrate that the training of information protection for members at medical institutions increases the information protection activities of employees. METHODS: We used the chi-square test and the logistic regression model to analyze the data of the "Healthcare Information and Communication Status Survey in 2017" (n = 2002) conducted by the Korea Health Industry Development Institute RESULTS: As a result of the analysis, the information protection activity increased when the education was received and the number of received more than the education was not received. Especially, when the management receives education, it affects the information protection activities of the employees. CONCLUSION: In order to protect medical information, medical institutions need to provide education on information protection for management and employees.

Common Conversation Topic Identification System through Multi-intent Detection (다중 의도 탐지를 통한 공통 대화 주제 식별 시스템)

  • Oh, Gyeong-Su;Ju, Chan-Yang;Lee, Dong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.590-593
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    • 2022
  • 최근 코로나바이러스감염증-19(COVID-19)로 인해서 다양한 비대면 서비스가 증가하고 있는데 그 중에서 사람과 인공지능 간 의사소통하여 정보를 얻는 대화 시스템이 대표적인 서비스이다. 대화 시스템은 입력되는 단일 문장에 대한 정보만을 응답하기 때문에 이전 대화의 정보를 알기 위해서는 질문했던 내용을 다시 입력해야 하는 문제점이 있다. 이런 문제를 해결하고 대화 진행에 도움을 주기 위해서 본 논문에서는 대화 내 문장들의 다중 의도 탐지를 통한 공통 대화 주제 식별 시스템을 제안한다.

Data Science Degree and Curriculum in Korea and its Implications for the Information Field (국내 데이터사이언스 학위 및 교과 운영 현황과 문헌정보학과로의 함의)

  • Park, Hyoungjoo;Lee, Heejin
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.431-454
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    • 2022
  • This study examined data science degree programs and courses offered by universities, and those offered by the Library and Information Science (LIS) degree programs, to understand its implications for the LIS programs in Korea. This research assessed the status of data science degrees from 439 schools using the list released by the Korea Educational Development Institute in 2022. To be specific, this study analyzed universities, colleges, majors, sub-majors, interdisciplinary majors, convergence majors, micro-degrees, nanodegrees, tracks, modules, and industry-university cooperative programs within the data science field. This research examined 1,148 courses offered by data science degree programs and 1,325 courses offered by LIS degree programs. Data science degrees in Korea offer courses such as introductory, technical, practical, applied, and in-depth subjects related to data science. Although the LIS programs in Korea do not always offer data science, the courses included topics such as the introduction to data science, database, data visualization, data curation, metadata, big data, and information technology, when courses were offered. The researchers hope the findings of this study will be useful as a starting point for the development and revisions of LIS curriculum on data science in Korea.

Analysis of Domestic and Overseas Disaster Research Trends - Focusing on ICT (국내·외 재난 연구 동향 분석 - ICT 중심으로)

  • Kim, Gwan-Jun;Lee, Gang-Jun;Back, Sung-Won;Sim, Young-Mi;Jeong, Sang
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.195-197
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    • 2023
  • 본 연구는 재난에서 사용되고 있는 정보통신기술( ICT) 연구 국내논문 100개 및 해외논문 100개를 수집한 후, R 프로그램을 이용한 텍스트 마이닝 분석을 통해 국내 재난관리 네 가지 단계에 따른 ICT 기술 관련 연구 동향을 파악하고, 해외 재난관리의 ICT 기술 연구 동향을 분석 활용하여 우리나라 재난에서의 ICT 기술 활용방안을 새롭게 구성해 제언하는 것이다.

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Research on apply to Knowledge Distillation for Crowd Counting Model Lightweight (Crowd Counting 경량화를 위한 Knowledge Distillation 적용 연구)

  • Yeon-Joo Hong;Hye-Ryung Jeon;Yu-Yeon Kim;Hyun-Woo Kang;Min-Gyun Park;Kyung-June Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.918-919
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    • 2023
  • 딥러닝 기술이 발전함에 따라 모델의 복잡성 역시 증가하고 있다. 본 연구에서는 모델 경량화를 위해 Knowledge Distillation 기법을 Crowd Counting Model에 적용했다. M-SFANet을 Teacher 모델로, 파라미터수가 적은 MCNN 모델을 Student 모델로 채택해 Knowledge Distillation을 적용한 결과, 기존의 MCNN 모델보다 성능을 향상했다. 이는 정확도와 메모리 효율성 측면에서 많은 개선을 이루어 컴퓨팅 리소스가 부족한 기기에서도 본 모델을 실행할 수 있어 많은 활용이 가능할 것이다.

A Comparative Study of Dietary Related Zero-waste Patterns and Consumer Responses Before and After COVID-19 (코로나-19 이전과 이후 식생활 관련 제로웨이스트 운동 양상과 소비자 반응 비교)

  • Park, In-Hyoung;Park, You-min;Lee, Cheol;Sun, Jung-eun;Hu, Wendie;Chung, Jae-Eun
    • Human Ecology Research
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    • v.60 no.1
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    • pp.21-38
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    • 2022
  • This study uses text mining compares and contrasts consumers' social media discourses on dietary related zero-waste movement before and after COVID-19. The results indicate that the amount of buzz on social networks for the zero- waste movement has been increasing after COVID-19. Additionally, the results of frequency analysis and topic modeling revealed that subjects associated with zero-waste movement were more diversified after COVID-19. Although the results of a sentiment analysis and word cloud visualization confirmed that consumers' positive responses toward the zero-waste have been increasing, they also revealed a need to educate and encourage those who are still not aware of the need for zero-waste. Finally, consumers mentioned only a small number of companies participating in zero-waste movement on SNS, indicating that the level of active involvement by such companies is much lower than that of consumers. Theoretical and educational implications as well as those for government policy-making are considered.

Satisfaction Factors for a Clothing and Textiles Major: A Modeling (의류학 관련 전공에 대안 학생들의 전공 만족요인: 구조적 모형 분석)

  • Eunkyung Jeon;Eunyoung Chang;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.9
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    • pp.1614-1620
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    • 2001
  • 본 연구의 목적은 의류학 관련 전공에 대한 학생들의 전공 만족도에 영향을 주는 결정변인을 조사하는데 있다. 조사대상은 의류학 관련학과를 전공으로 하는 국내 2년제 및 4년제 10개 대학의 재학생으로, 총 690부의 설문자료가 최종 통계분석에 사용되었다. 분석은 Lisrel을 이용하여, 학생들의 전공 만족도의 결정 변인과 구조적 모형을 조사하였다. 그 결과, 학문적 경쟁력과 전공에 대 한 적성 및 흥미가 가장 중요한 전공 만족도의 결정 변인으로 밝혀졌으며, 기타 만족도 변인인 시설 및 장비, 취업, 학생활동 관여도, 사회적 유대감등은 전공 만족도에 직접 영향을 미치는 것이 아니라, 학교 만족도를 통해 간접적인 영향을 미치는 것으로 나타났다.

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