• 제목/요약/키워드: My Data

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소용량 데이터베이스 처리를 위한 DBMS의 성능 비교 (Comparison of DBMS Performance for processing Small Scale Database)

  • 장시웅
    • 한국정보통신학회논문지
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    • 제12권11호
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    • pp.1999-2004
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    • 2008
  • 대규모 용량의 데이터베이스를 처리하기 위한 상용 DBMS에 대한 성능의 비교는 벤치마크 테스트로 결과가 주어진 경우가 많은 반면, 소규모 용량의 데이터베이스를 처리하기 위한 DBMS의 성능에 대해서는 많이 알려져 있지 않다. 따라서 본 연구에서는 소규모 용량의 데이터 베이스를 처리하기 위한 상용 DBMS 및 공개용 DBMS의 성능에 대해 비교하고 분석하였다. 분석 결과, 오라클은 데이터 갱신 및 삽입에 관한 연산에서는 데이터의 안전성 보장을 위한 rollback 기능의 준비 작업이 많아 좋지 못한 성능을 보인 반면, MySQL이나 MS-SQL등의 경우에는 별다른 오버헤드가 없어 오라클에 비해 좋은 성능을 보였다.

부모 수감 후 남겨진 자녀의 삶의 적응과정 경험에 관한 사례연구 (A Case Study on the Experience of Adaptation Process of Life of Children Whose Parents are Imprisoned)

  • 최경옥;이경림
    • 한국가족복지학
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    • 제62호
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    • pp.171-206
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    • 2018
  • 이 연구의 목적은 부모의 수감사건을 자녀들이 어떻게 받아들이고 살고 있는지 그 적응과정의경험을 이해하고자 하는 것이다. 연구목적을 달성하기 위해 6명의 청소년 참여자를 선정하여심층면담을 진행하였고 이를 통해 수집한 자료를 가지고 사례별 분석과 사례 간 분석을 실시하였다. 전체 사례에서 나타난 주제는 '예고 없는 이별과 충격', '불행 중 다행', '서러운 내 신세', '멀고 먼 만남의 길', '희망을 주는 사람', '내 인생을 살아감' 등이었다. 연구결과를 바탕으로 수용자 자녀 지원과 권리 보장을 위한 정책과 실천지침을 논의하였고 연구의 한계 및 후속연구를 위한 제언을 하였다.

Desirable Major Education through a Survey on the Needs of Education Subjects

  • CHUN, Bong-Jae;PARK, Hyeon-Young;LEE, Se-Rin;LIM, Hyeon-Jin;KWON, Young-Eun;KWON, Lee-Seung
    • 웰빙융합연구
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    • 제4권3호
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    • pp.10-22
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    • 2021
  • Purpose: This study aims to be used as a reference for setting the direction of university major education & policy. Research design, data and methodology: The satisfaction survey were nine major curriculum surveys for each college, targeting students enrolled in a university. One university consisted of 9 colleges and 49 departments or majors. The survey period is approximately one month. Results: The highest item in the major curriculum reflects the educational goal of the department, with a score of 3.95. Conversely, the lowest item is 3.65 points, indicating that the major curriculum offers a wide range of subjects to choose from. As the questions are higher than the average score (3.83 points), the major curriculum is helping me grow my competency through academic achievement (3.90 points), the major curriculum is helping me set my career and finding a job (3.88 points), The major curriculum suggests specific performance standards for judging the achievement of a set target competency (3.88 points), and the major curriculum reflects social demands and changes (3.85 points). Conclusions: Students want that their major education faithfully reflects the educational goals of their major and that major education helps their ability to grow for academic achievement.

노인이 경험하는 삶의 원동력 의미에 관한 해석학적 현상학 연구 (Study of the Hermeneutical Phenomenon regarding the Meaning of the Driving Force of Life Experienced by the Elderly)

  • 한숙정;강경아;임영숙
    • 한국보건간호학회지
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    • 제33권1호
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    • pp.109-122
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    • 2019
  • Purpose: The purpose of this study was to understand the meaning of the driving force of life experienced by the elderly and the realistic structure of their experience. Methods: The research question was "What is the essential meaning of the driving force experienced by the elderly?". Data were collected from individual in-depth interviews between March, 2017 and May, 2017 and analyzed using Van Manen's hermeneutic phenomenological methodology to identify the essential themes of their experience. Results: Through the analysis process, 22 themes and 14 essential themes were derived. The 14 essential themes of the driving force of the life of elderly were as follows: 'Memories from the past', 'Poverty to escape', 'Hand down family's heritage', 'A body bound by marriage', 'A body necessary for old age', 'A dignified body even if they grow older', 'A body that does not want to fall', 'A fruit of my life', 'Mature real love', 'Unchanging fraternity', 'Extended family', 'An old friend with whom share my heart', 'Satisfied with the situation', and 'Expanding the breadth of life'. Conclusion: Nursing programs that assess the driving force of life supporting the elderly and supports the driving force of such a life should be developed.

An Analysis and Comparison of the Characteristics of Traditional Hanbok and Everyday(daily) Hanbok Focusing on the Basic Dress

  • Shim, Hwa-Jin
    • 패션비즈니스
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    • 제5권5호
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    • pp.77-86
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    • 2001
  • The traditional dress of a nation represents that nations organic culture. The traditional Hanbok dress has become our traditional wear through many centuries of history. This paper studies the real world use of daily Hanbok and provide comparative data and compares the traditional and daily Hanbok with focus on the basic Hanbok. It will also present my views on the future of daily Hanbok design with beauty as an emphasis.

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Phenol성(性) 화합물(化合物)의 $^{13}C$-핵자기(核磁氣) 공명(共鳴)(II) -Phenol 성(性) Coumarine 유도체(誘導體)의 Chemical Shift에 관(關)하여- ($^{13}C-Nuclear$ Magnetic Resonance of Phenolic Compounds (II) -A Study on the Chemical Shifts of the Phenolic Coumarine Derivatives-)

  • 안병준
    • 생약학회지
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    • 제8권1호
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    • pp.23-29
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    • 1977
  • The $^{13}C-chemical\;shifts$ of the phenolic coumarine derivatives, aesculetin, daphnetin and herniarin were studied on the basis of my previous report. All spectral data found in this report could be utilized to the structure elucidation of the unknown phenolic coumarine derivatives and other phenolic compounds. In addition, it is suggested that a long range coupling may occur in the following structure as represented by arrow.

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Food and Agriculture Statistics of the UN-FAO

  • Kim, Joo-Hwan
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.39-48
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    • 2003
  • Quality in agriculture statistics at the international level is very important to all countries in the world. We investigate international organizations which produce worldwide agricultural statistics. The UN-FAO is one of the most important organization in agricultural statistics fields. We first introduce the Statistics division in FAO and present some considerations like production, reliability, quality of the agriculture data from my own experience as a consultant in FAO and Ministry of Agriculture and Forestry in Korea.

대체 경로를 고려한 패킷교환 방식의 WOM 기간망 설계ml 대한 연구 (Packet switched WDM backbone network designing regarding detour route)

  • 이순화;김경민;김장복
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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    • pp.247-250
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    • 2002
  • It is predicted that the existing backbone network has encountered its limit due to massive growth in data traffic. Perhaps new WDM methods utilizing optical fibers are desirable. Also to assure reliance of the network detour routes fur collision recovery must be considered. But due to the redundancy occurred by allocating bandwidths to the detour route, the efficiency of the link my decline. In this paper, we designed a detour route to minimize the redundancy.

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화면 전환 효과를 위한 비디오 편집 시스템 (A video editing system for transition effects)

  • 김정훈
    • 한국정보처리학회논문지
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    • 제3권1호
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    • pp.33-42
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    • 1996
  • 본 논문에서는 LDP, VCR, Camcoder 등으로부터 아날로그 신호를 입력받아 디지탈 데이타로 변환한 후 이를 원하는 형태로 편집하여 다시 아날로그 형태로 변환시키는 시스템을 설계 및 구현하고자 한다. 특히 본 논문에서는 비디오 데이타를 편집할 때 유용하게 쓰일 수 있는 다양한 화면 전환 효과 알고리즘을 제시하며 일부는 이미 개발 되어 있는 단일 이미지 처리 알고리즘을 응용한다. 마지막으로 기존의 전문 비디오 편집 시스템들과 본 편집 시스템과의 성능을 비교 분석해 본다.

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Machine Learning Applied to Uncovering Gene Regulation

  • Craven, Mark
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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    • pp.61-68
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    • 2000
  • Now that the complete genomes of numerous organisms have been ascertained, key problems in molecular biology include determining the functions of the genes in each organism, the relationships that exist among these genes, and the regulatory mechanisms that control their operation. These problems can be partially addressed by using machine learning methods to induce predictive models from available data. My group is applying and developing machine learning methods for several tasks that involve characterizing gene regulation. In one project, for example, we are using machine learning methods to identify transcriptional control elements such as promoters, terminators and operons. In another project, we are using learning methods to identify and characterize sets of genes that are affected by tumor promoters in mammals. Our approach to these tasks involves learning multiple models for inter-related tasks, and applying learning algorithms to rich and diverse data sources including sequence data, microarray data, and text from the scientific literature.

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