• 제목/요약/키워드: 아주대학

검색결과 309건 처리시간 0.027초

피스톤 형상이 연소와 화염전파에 미치는 영향 (The Effect of Piston Configuration on Combustion and Flame Propagation)

  • 지명석;강기영
    • 한국산업융합학회 논문집
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    • 제22권5호
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    • pp.511-517
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    • 2019
  • Two type pistons which had different configuration were made to find out the effects on combustion and flame propagation. Flame propagation speed was obtained by use of the cylinder head gasket ionization probe. Ionization Probe voltage output and flame propagation speed were increased according to the air fuel mixture ratio increase. Exhaust direction flame propagation speed was fastest in combustion chamber and next was front direction, rear direction and intake direction cause of tumbling motion in cylinder. In case of remove the valve pocket in piston, average flame propagation speed changed slowly and spark timing was advanced. Also emission was decreased.

이공계 대학 융합 교육의 한계와 가능성 탐색 (A Study on Limitations and Possibilities of Convergence Education in Engineering)

  • 허지숙
    • 공학교육연구
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    • 제22권2호
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    • pp.46-54
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    • 2019
  • The purpose of this study is to discuss the current status and limitations of convergence education in universities and to explore new possibilities of engineering convergence education by analyzing characteristics and cases of self - design semesters as convergence education. As a result of this study, it was found that the education for fostering convergence ability is insufficient for the viewpoint of education. The types of convergence education could be classified into three categories. However, the concept and paradigm of convergence education has not been established precisely because it is made in a 'top-down' manner by the government. In addition, there was a limit of the lack of a foundation to operate the convergence education. However, A university's self-design semester, it shows the possibility of cultivating the overall convergence ability by giving autonomy and subjectivity to learners and through the acquisition of contextual knowledge and the ability of collaboration.

창의성 교육 프로그램이 공학계열 대학생들의 창의적 자기효능감에 미치는 영향에 관한 연구 (A Study on the Effect of Creativity Education Program on Creative Self-Efficacy of Engineering College Students)

  • 신종호
    • 공학교육연구
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    • 제25권5호
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    • pp.3-11
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    • 2022
  • The effects and factors of the creativity education program on the creative self-efficacy of engineering college students were analyzed. As a result of the analysis, the creative self-efficacy of students who took the creativity education program was improved, and the effect was statistically significant. The learning contents factors affecting the improvement of creative self-efficacy was 'creativity development attribute and creative attitude' and the learning activity factor was 'taking theoretical lectures' about creativity.

온돌 난방에서의 지면을 통한 열손실 (Analysis of Ground Heat Loss in Ondol Heating Systems)

  • 조성환;김관호
    • 대한설비공학회지:설비저널
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    • 제7권3호
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    • pp.160-166
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    • 1978
  • 온돌 난방계통에서 지면을 통한 열손실을 수학적으로 등각사상과 변수변환방법을 사용하여 해석하였다. 2차원 및 3차원 해석 결과를 얻었다. 난방되는 주택은 직사각형이라고 가정하였다. 그림 2를 사용하여 평균 지면 열손실을 구할 수 있다. 열 특성치가 열 손실에 미치는 효과에 대하여 설명되었다. 열손실을 구하는 수치적 보기를 주었다.

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키워드 빈도 및 중심성 분석 기반의 머신러닝 헬스케어 연구 동향 : 미국·영국·한국을 중심으로 (Research Trend on Machine Learning Healthcare Based on Keyword Frequency and Centrality Analysis : Focusing on the United States, the United Kingdom, Korea)

  • 이택균
    • 디지털산업정보학회논문지
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    • 제19권3호
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    • pp.149-163
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    • 2023
  • In this study we analyze research trends on machine learning healthcare based on papers from the United States, the United Kingdom, and Korea. In Elsevier's Scopus, we collected 3425 papers related to machine learning healthcare published from 2018 to 2022. Keyword frequency and centrality analysis were conducted using the abstracts of the collected papers. We identified keywords with high frequency of appearance by calculating keyword frequency and found central research keywords through the centrality analysis by country. Through the analysis results, research related to machine learning, deep learning, healthcare, and the covid virus was conducted as the most central and highly mediating research in each country. As the implication, studies related to electronic health information-based treatment, natural language processing, and privacy in Korea have lower degree centrality and betweenness centrality than those of the United States and the United Kingdom. Thus, various convergence research applied with machine learning is needed for these fields.

증기분사냉동계의 부우스터 이젝터와 에어 이젝터의 설계조건비교에 관한 연구 (A Study on the Comparison of Design Conditions between Booster Ejector and Air Ejector in the Steam-Jet Water-Vapour Refrigeration Cycle)

  • 이창식
    • 대한설비공학회지:설비저널
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    • 제7권2호
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    • pp.73-79
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    • 1978
  • This paper presents the experimental study on the design conditions of pressure between booster ejector and air ejector in the steam-jet water-vapour refrigeration system. In this experiment, the motive steam of booster ejector and ai. ejector was dry saturated from 6 ata to 8 ata and flash chamber pressure were about $10\∼540mmHg$ higher than mixing section in booster ejector. The investigation of air on the pressure of booster ejector was performed by changing the condenser pressure. The experimental results show that flash chamber vacuum and condenser pressure of steam-jet refrigeration cycle increased in accordance with the increase of motive steam Pressure. Among the several nozzle sires tested, No.4 nozzle were best in term of evaporator vacuum under the constant operating conditions of air ejector in condenser.

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문화분류와 문화콘텐츠산업분류에 관한 연구 (A Study of A Cultural Classification and A Culture Contents Industrial Classification)

  • 안인자
    • 한국비블리아학회지
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    • 제17권2호
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    • pp.5-22
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    • 2006
  • 문화분류와 문화콘텐츠산업분류는 관련 정책, 지원, 통계, 평가를 위한 필수적인 기본도구이며, 이과정은 순환되는 것을 알 수 있다. 이의 용례를 법, 문화지표, 통계, 평가항목, 관련 연구보고서 분석하여 살펴본 결과 단기적 목적에 따라 아주 다양하게 분류되는 것을 발견하였다. 본 논문에서는 콜론분류방법에 기초한 분류안을 제시하였으며, 분류요소로서 통신망, 매체, 장르, 문화영역구분을 사용하였다.

알코올 사용 장애 환자의 재발경험: Q 방법론적 접근 (Relapse Experience of Patients with Alcohol Use Disorder: Q Methodological Approach)

  • 김진주;현명선
    • 동서간호학연구지
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    • 제29권2호
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    • pp.172-184
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    • 2023
  • Purpose: The purpose of this study was to identify the subjective relapse experiences of patients with alcohol use disorder in one's life context. Methods: A Q methodology was used to analyze the subjectivity of relapse experiences among 55 participants with alcohol use disorder. Fifty-five Q-statement were derived from interviews and literature review. Q-statements were classified into normally distributed shapes using a 9-point scale. Data were analyzed using the QUANL program. Results: Four types of relapse experiences were identified: failure to self-regulation drinking cravings, fear of relapse and awareness of the need for treatment, drinking as a coping mechanism and defensive coping, and lack of motivation to change drinking behavior. Conclusion: The results of this study suggest that patients with alcohol use disorder need a differential approach based on four types of relapse experiences in the recovery process.

키워드 빈도와 중심성 분석을 이용한 인공지능 보안 연구 동향 : 미국·영국·한국을 중심으로 (Research Trend on AI Security Using Keyword Frequency and Centrality Analysis : Focusing on the United States, United Kingdom, South Korea)

  • 이택균
    • 디지털산업정보학회논문지
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    • 제19권4호
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    • pp.13-27
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    • 2023
  • In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

키워드 빈도와 중심성 분석을 활용한 블록체인 기반 사물인터넷 연구 동향 : 미국·영국·한국을 중심으로 (Research Trend on Blockchain-based IoT Using Keyword Frequency and Centrality Analysis : Focusing on the United States, United Kingdom, Korea)

  • 이택균
    • 디지털산업정보학회논문지
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    • 제20권1호
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    • pp.1-15
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    • 2024
  • This study aims to analyze research trends in blockchain-based Internet of Things focusing on the US, UK, and Korea. In Elsevier's Scopus, we collected 2,174 papers about blockchain-based Internet of Things published in from 2018 to 2023. Keyword frequency and centrality analysis were conducted on the abstracts of the collected papers. Through the obtained keyword frequencies, we tried to identify keywords with high frequency of occurrence and through centrality analysis, we tried to identify central research keywords for each country. As a result of the centrality analysis, research on blockchain, smart contracts, Internet of Things, security and personal information protection was conducted as the most central research in each country. The implication for Korea is that cybersecurity, authentication research appears to have been conducted with a lower centrality compared to the United States and the United Kingdom. Thus, it seems that intensive research related to cybersecurity and authentication is needed.