• Title/Summary/Keyword: 학자

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A Physical Data Design and Query Routing Technique of High Performance BLAST on E-Cluster (고성능 BLAST구현을 위한 E-Cluster 기반 데이터 분할 및 질의 라우팅 기법)

  • Kim, Tae-Kyung;Cho, Wan-Sup
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.2
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    • pp.139-147
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    • 2009
  • BLAST (Basic Local Alignment Search Tool) is a best well-known tool in a bioinformatics area. BLAST quickly compares input sequences with annotated huge sequence databases and predicts their functions. It helps biologists to make it easy to annotate newly found sequences with reduced experimental time, scope, and cost. However, as the amount of sequences is increasing remarkably with the advance of sequencing machines, performance of BLAST has been a critical issue and tried to solve it with several alternatives. In this paper, we propose a new PC-Based Cluster system (E-Cluster), a new physical data design methodology (logical partitioning technique) and a query routing technique (intra-query routing). To verify our system, we measure response time, speedup, and efficiency for various sizes of sequences in NR (Non-Redundancy) database. Experimental result shows that proposed system has better speedup and efficiency (maximum 600%) than those o( conventional approaches such as SMF machines, clusters, and grids.

A Study on Knowledge Network Analysis of Social System Theory: Focused on Follow-up Studies on Niklas Luhmann (사회적 체계 이론의 지식 네트워크 분석 연구 - Niklas Luhmann의 후속연구를 중심으로 -)

  • Park, Seongwoo;Hong, Soram
    • Journal of Korean Library and Information Science Society
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    • v.53 no.1
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    • pp.191-210
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    • 2022
  • Niklas Luhmann is a sociologist who has had a strong influence on other disciplines. Therefore, it is necessary to examine what Luhmann's theory has influenced on his subsequent researchers. This study analyzed the knowledge network of studies on Niklas Luhmann's theory by follow-up researchers. Bibliographic coupling and co-citation were used as the analysis method of knowledge network. The main results are as follows. First, the language clusters were divided into Latin American / Spanish-speaking regions, Western Europe / Anglo-American regions, Eastern / Northern Europe and other language regions through bibliographic coupling analysis. Second, from the node analysis of bibliographic coupling, It was divided into 2 main cases: where Luhmann's major works were cited; where Luhmann's minor works were cited. Third, it was found that there are the core work groups that are repeatedly cited among Luhmann's works. Fourth, 12 core works were derived from the node analysis of the co-citation network, and appeared in four groups according to themes.

A Proposal for the Development of Online Graduate School for Lifelong Education (평생교육을 위한 온라인 대학원 발전방안 제안)

  • Kwon, Arum;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.415-422
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    • 2022
  • This study requires a new paradigm for universities in line with the global pandemic and the 4th industrial revolution. Accordingly, we propose an educational plan for the H university online graduate school in Korea. As a research method, the implications of scholars and experts on future education were synthesized, and the cases of overseas universities using it were analyzed to propose an online graduate school education plan. As a result of the study, online graduate school needs diversity as a venue for providing new opportunities as lifelong education, and to realize this, they use a microcredit. Blockchain technology is introduced so that microcredit can be transparently verified. In addition, to correspond to various convergence major programs and further develop them, problem-solving-oriented teaching methods enhance students' convergent skills as well as active learning and interaction. More detailed curriculum research at online graduate schools is needed in the future, and we hope that you will contribute to the development of online graduate school education based on this study.

A relationship among types of museum space, number of visitors, and number of collections (박물관 공간구성이 방문객수와 소장품수에 대해 갖는 관계)

  • Kim, Jung Hyun;Shin, Hyung-Deok;Park, Ji Hyon
    • Korean Association of Arts Management
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    • no.49
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    • pp.65-86
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    • 2019
  • This study investigated the relationship among type of museum space, number of visitors, and number of collections. Museum space has been sorted in various ways(e. g. Seo, 2008; Lee, 2008; Ambrose & Paine, 2012), but this study adopted Lord et al. (2012)'s typology, which has public/non-public and collection/non-collection space, considering that Korean museums' space fits their typology. Using 853 museum data our regression analyses show that public-collection space is positively related to the number of visitors is bigger, while non-public-collection space is positively related to the number of collections. This study has academic and practical implications by showing there are differential relationship among those physical museum characteristics and museum performance.

A Study on Web-based Information Visualization for Analysis on Relationship between Objects -Focused on Abbasids of Islam- (객체 간 연관 관계 분석을 위한 웹 기반 정보시각화 연구 - 이슬람 압바스 왕조를 중심으로 -)

  • Kang, Ji-Hoon;Yoon, Yong-Soo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.12
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    • pp.533-540
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    • 2016
  • Information Visualization is an information technology to visually represent the data and information by utilizing various tools. Visual information can increase the user's intuitiveness and it can be an effective way that can observe and comprehend the specific information in a short time. Information Visualization, as a research method on Humanities, in the high interest of researchers of Humanities and Area studies, is recently used for collecting base data and analyzing information. As an way to use Information Visualization, various forms of Information Visualization like Electronic Cultural Atlas, Network and Multimedia are actively discussed and studied today. In this paper, Information Visualization will be discussed by utilizing D3, a web-based technology for dynamic visualization. In detail, relationship between the Abbasids of Islam can be visualized by using nodes and connection lines and, this relationship between objects will be analyzed efficiently. Researchers related in this field can use this analyzed information for basis data in their researches.

A Study of Married Immigrant Women's Career Goals and the Meaning (결혼이주여성들의 진로목표와 그 의미에 관한 연구)

  • Nam, Hyekyeong;Lee, MiJung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.10
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    • pp.425-432
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    • 2016
  • This study is focused on defining what is their career goals and the standard to set up the goals as an individual married immigrant women. Marriage immigrant women are expected to have higher difficult than Korean women do in reality, so the research will figure out what career goal marriage immigrant women have to achieve the goal. As the results, the data has been collected from seven of the married immigrant women through in-depth interview, the conclusion is as followed: First, career goal for married immigrant women turns out self-reliance and valuable life. Career is used in wide spread range including a job, and their career goal is for being a self-employed, a travel guide, an english teacher, and a regular worker. They have various goal for valuable life to feel that their living is better than monetary stuff, to have a healing tour through music, and to exchange with foreign scholars and train junior scholars. They hope they can be confident as a part of the Korean society and be able to help others and to see themselves as valued to live a life.

Identification of Multiple Cancer Cell Lines from Microscopic Images via Deep Learning (심층 학습을 통한 암세포 광학영상 식별기법)

  • Park, Jinhyung;Choe, Se-woon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.374-376
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    • 2021
  • For the diagnosis of cancer-related diseases in clinical practice, pathological examination using biopsy is essential after basic diagnosis using imaging equipment. In order to proceed with such a biopsy, the assistance of an oncologist, clinical pathologist, etc. with specialized knowledge and the minimum required time are essential for confirmation. In recent years, research related to the establishment of a system capable of automatic classification of cancer cells using artificial intelligence is being actively conducted. However, previous studies show limitations in the type and accuracy of cells based on a limited algorithm. In this study, we propose a method to identify a total of 4 cancer cells through a convolutional neural network, a kind of deep learning. The optical images obtained through cell culture were learned through EfficientNet after performing pre-processing such as identification of the location of cells and image segmentation using OpenCV. The model used various hyper parameters based on EfficientNet, and trained InceptionV3 to compare and analyze the performance. As a result, cells were classified with a high accuracy of 96.8%, and this analysis method is expected to be helpful in confirming cancer.

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Promoting research integrity in sport and leisure studies: From the perspectives of academia (체육학 연구에서의 연구부정행위 방지를 위한 근거이론적 접근)

  • Lee, Weon-il;Jin, Yeon-Kyung;Yi, Kyoung June
    • 한국체육학회지인문사회과학편
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    • v.55 no.4
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    • pp.227-240
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    • 2016
  • Research misconduct has been a strong societal concern in sport and leisure studies. However, little is known about the complex mechanisms and ways of promoting research integrity. This study aimed at exploring the ways in which research integrity in sport and leisure studies could be established from the perspectives of academia. Employing a grounded theory approach, 13 academics and graduate students were invited to the study. Data were collected primarily through focus group and one-on-one follow-up interviews. Perceived negative factors contributing to research misconduct within socio-political/socio-environmental, socio-cultural, and personal contexts were identified. Three approaches, (a) top-down approach, (b) bottom-up approach, and (c) continuous education, as well as subsequent practical strategies were also suggested for the enhancement of research integrity within the field. This paper provided empirical knowledge regarding barriers to and opportunities for improving research integrity in sport and leisure studies.

A Critical Study on the Three Models of Practical Theology in the Second Half of the 20th Century (20세기 후반 실천신학의 세 가지 유형에 대한 비판적 연구)

  • Shin-Geun Jang
    • Journal of Christian Education in Korea
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    • v.72
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    • pp.25-48
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    • 2022
  • This essay is a critical study of the three models of practical theology that emerged in the second half of the 20th century: the critical correlational model (Sherrill, Browning), the hermeneutical model (Groome, Gerkin), and the faith community formation model (Westerhoff, Campbell). This essay first explores the central ideas of practical theologians who adhere to each of the three models and focuses on Christian education, pastoral counseling, and homiletics. This essay then critically evaluates the three models in accordance to the following four themes: how practical theology has 1) responded to the challenges of postmodernity, 2) engaged in dialogue with different types of theology, 3) participated in interdisciplinary dialogue, and 4) understood Christian practice. In conclusion, this essay suggests that the essential tasks of contemporary Christian education as practical theology include: 1) providing an active response to many challenges of postmodern, postsecular, postdigital, and posthuman era, 2) engaging in interactive dialogue with diverse forms of theology, and 3) facilitating interdisciplinary dialogue based on transversal rationality, and 4) establishing of the concept of Christian practice at the individual, ecclesial, social, public, ecological, and digital levels.

Effective Drought Prediction Based on Machine Learning (머신러닝 기반 효과적인 가뭄예측)

  • Kim, Kyosik;Yoo, Jae Hwan;Kim, Byunghyun;Han, Kun-Yeun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.326-326
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    • 2021
  • 장기간에 걸쳐 넓은 지역에 대해 발생하는 가뭄을 예측하기위해 많은 학자들의 기술적, 학술적 시도가 있어왔다. 본 연구에서는 복잡한 시계열을 가진 가뭄을 전망하는 방법 중 시나리오에 기반을 둔 가뭄전망 방법과 실시간으로 가뭄을 예측하는 비시나리오 기반의 방법 등을 이용하여 미래 가뭄전망을 실시했다. 시나리오에 기반을 둔 가뭄전망 방법으로는, 3개월 GCM(General Circulation Model) 예측 결과를 바탕으로 2009년도 PDSI(Palmer Drought Severity Index) 가뭄지수를 산정하여 가뭄심도에 대한 단기예측을 실시하였다. 또, 통계학적 방법과 물리적 모델(Physical model)에 기반을 둔 확정론적 수치해석 방법을 이용하여 비시나리오 기반 가뭄을 예측했다. 기존 가뭄을 통계학적 방법으로 예측하기 위해서 시도된 대표적인 방법으로 ARIMA(Autoregressive Integrated Moving Average) 모델의 예측에 대한 한계를 극복하기위해 서포트 벡터 회귀(support vector regression, SVR)와 웨이블릿(wavelet neural network) 신경망을 이용해 SPI를 측정하였다. 최적모델구조는 RMSE(root mean square error), MAE(mean absolute error) 및 R(correlation Coefficient)를 통해 선정하였고, 1-6개월의 선행예보 시간을 갖고 가뭄을 전망하였다. 그리고 SPI를 이용하여, 마코프 연쇄(Markov chain) 및 대수선형모델(log-linear model)을 적용하여 SPI기반 가뭄예측의 정확도를 검증하였으며, 터키의 아나톨리아(Anatolia) 지역을 대상으로 뉴로퍼지모델(Neuro-Fuzzy)을 적용하여 1964-2006년 기간의 월평균 강수량과 SPI를 바탕으로 가뭄을 예측하였다. 가뭄 빈도와 패턴이 불규칙적으로 변하며 지역별 강수량의 양극화가 심화됨에 따라 가뭄예측의 정확도를 높여야 하는 요구가 커지고 있다. 본 연구에서는 복잡하고 비선형성으로 이루어진 가뭄 패턴을 기상학적 가뭄의 정도를 나타내는 표준강수증발지수(SPEI, Standardized Precipitation Evapotranspiration Index)인 월SPEI와 일SPEI를 기계학습모델에 적용하여 예측개선 모형을 개발하고자 한다.

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