• Title/Summary/Keyword: Management of Library

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Artificial Intelligence to forecast new nurse turnover rates in hospital (인공지능을 이용한 신규간호사 이직률 예측)

  • Choi, Ju-Hee;Park, Hye-Kyung;Park, Ji-Eun;Lee, Chang-Min;Choi, Byung-Gwan
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.431-440
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    • 2018
  • In this study, authors predicted probability of resignation of newly employed nurses using TensorFlow, an open source software library for numerical computation and machine learning developed by Google, and suggested strategic human resources management plan. Data of 1,018 nurses who resigned between 2010 and 2017 in single university hospital were collected. After the order of data were randomly shuffled, 80% of total data were used for machine leaning and the remaining data were used for testing purpose. We utilized multiple neural network with one input layer, one output layer and 3 hidden layers. The machine-learning algorithm correctly predicted for 88.7% of resignation of nursing staff with in one year of employment and 79.8% of that within 3 years of employment. Most of resigned nurses were in their late 20s and 30s. Leading causes of resignation were marriage, childbirth, childcare and personal affairs. However, the most common cause of resignation of nursing staff with in one year of employment were maladaptation to the work and problems in interpersonal relationship.

Statistical Metadata for Users: A Case Study on the Level of Metadata Provision on Statistical Agency Websites (웹 이용자를 위한 통계 메타데이터: 통계정보 제공사이트의 메타데이터 제공 수준 평가 사례 연구)

  • Oh, Jung-Sun
    • Journal of the Korean Society for information Management
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    • v.24 no.2
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    • pp.161-179
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    • 2007
  • As increasingly diverse kinds of information materials are available on the Internet, it becomes a challenge to define an adequate level of metadata provision for each different type of material in the context of digital libraries. This study explores issues of metadata provision for a particular type of material, statistical tables. Statistical data always involves numbers and numeric values which should be interpreted with an understanding of underlying concepts and constructs. Because of the unique data characteristics, metadata in the statistical domain is essential not only for finding and discovering relevant data, but also for understanding and using the data found. However, in statistical metadata research, more emphasis has been put on the question of what metadata is necessary for processing the data and less on what metadata should be presented to users. In this study, a case study was conducted to gauge the status of metadata provision for statistical tables on the Internet. The websites of two federal statistical agencies in the United States were selected and a content analysis method was used for that purpose. The result showing insufficient and inconsistent provision of metadata demonstrate the need for more discussions on statistical metadata from the ordinary web users' perspective.

A Study on the Stepwise Benchmarking Method for Efficient Operation of Student Education Support (학생 교육지원의 효율적 운영에 대한 단계적 벤치마킹 방안 연구)

  • Jeong, Kyu-Han;Lee, Jang-Hee
    • Journal of Practical Engineering Education
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    • v.12 no.1
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    • pp.213-230
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    • 2020
  • Until now, various educational budgets, facilities, and programs have been put into school education, but the results have not been clearly evaluated. This study presents a model to analyze the effectiveness of educational support for students in high schools across the country. In this model, we first use EM cluster analysis to make clusters with similar inputs for school operation, and then calculate the relative efficiency in each cluster by using Network DEA analysis. The Network DEA analysis has a two-stage structure where the first stage uses six inputs in terms of school infrastructure to generate outputs such as the number of academic persistence. In the Network DEA analysis, the second stage uses 10 inputs in terms of school programs to generate outputs such as the number of enrollees to higher learning and the number of employees and per capita usage of library as the connection variable. Based on the efficiency analysis results, Tier analysis is performed by applying the Euclidean distance to select targets for benchmarking. In this study, we applied the model to analyze the efficiency of educational support by collecting data regarding student education support in general and vocational high school nationwide. The stepwise benchmarking method proposed that the target be selected for efficiency improvement step by step, taking into account inefficient school elements to complement the problem of the choice of benchmarking targets. Based on this study, it is expected that schools with low efficiency of educational support for students will be used as basic data for stepwise benchmarking for efficient operation of educational support for students.

An Exploratory Study on the Characteristics of a Solo Teacher Librarian's Personal Networks (1인 사서교사의 인적 네트워크 특성에 관한 탐색적 연구)

  • JaeYeon, Kang;Ji-Hong, Park
    • Journal of the Korean Society for information Management
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    • v.39 no.4
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    • pp.215-239
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    • 2022
  • Human networks can be an important means of solving various information problems including tacit knowledge, as an essential channel of knowledge sharing. Particularly, in the case of a teacher librarian(or librarian) of a school library composed of one person in the organization, the human networks for work can be more effective with people outside the organization who are in charge of the same duties than with members inside the organization. Thus, this study aims at exploring the characteristics of the personal networks related to the work of teacher librarians and understanding the effect of these network characteristics on job satisfaction and role ambiguity resolution. A survey was conducted on one of the teacher librarian associations in Seoul, and the collected data were analyzed using social network analysis(SNA) method. As a result, it was found that personal networking of teacher librarians is active in experienced teacher librarians, while those with shorter career have fewer channels of help-seeking. Also, the characteristics of personal networking do not affect job satisfaction and the resolution of role ambiguity. Based on these results, this study proposes the expansion of collaborating and networking among teacher librarians to solve information problems in a single-person workplace.

The Concept of Finding Aids

  • Sinn, Dong-Hee
    • Journal of Korean Society of Archives and Records Management
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    • v.3 no.1
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    • pp.93-109
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    • 2003
  • Finding aids have existed from the time when ancient archives appeared, With this long history, they have been used in most of Western archives, and thus, it is one of the most familiar tasks generally performed by archivists. However, ironically, this accustomed concept has not been an academic object to many researchers. Especially, in this electronic age, finding aids are even more complicated in their forms and meanings. This paper intends to address the concept(s) of finding aids as reflected in the archival literature in North America. The paper will attempt to illustrate how the concept of finding aid has evolved both conceptually and practically in archives and archival science and how circumstantial and social elements affect this concept. It Seems that the concept of finding aids has developed from the broad and integrated concept of provenance and pertinence to the narrower and practical sense considering the use by the public. It also turns out that the concept has advanced from a mere technical tool for describing records to an access tool for maximum availability. Not surprisingly, the concept of finding aids have changed as archival science and the profession has advanced and diversified. It is crucial for the archival community to understand changes in the practice and the concept of finding aids that will enable the preparation of higher quality finding aids enabling the optimum use of archives.

A Study on Improvement Direction of Public Service Advertisement to Prevent Drowsiness Driving on Highway (고속도로 졸음운전 방지를 위한 공익광고의 개선방향에 대한 연구)

  • Kwon, Jun-Ho
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.77-83
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    • 2017
  • The Korea Expressway Corporation announced that road casualties on expressways in 2016 were 262 deaths, a 24% decrease compared to 343 deaths in 2015, thanks to the expansion of rest areas for sleepy drivers. And the installation of large-sized banners containing strong messages such as "dozing while driving means your death" helped to reduce the casualty caused by driving while drowsy by 35% compared to that in 2015. Accordingly, this study tried to analyze the impact of public advertisements designed to prohibit dozing while driving on expressways upon drivers, and to present a direction for improvement of such public advertisements in the future. Based on case studies and library researches, the study contemplated the effects of public advertisements on expressways at home and abroad. It was confirmed that the accident rate has been higher on straight roads than on curved roads and that the framing of negative messages using provocative images or slogans on traffic accidents has been considerably effective. In conclusion, if the installation of outdoor billboards for public advertisements at rest areas for sleepy drivers is institutionalized and the systematic provision of information by road section inside and outside of vehicles via Variable Message Sign (VMS) services on expressways, outdoor billboards, or navigation services (including smartphones) is available, it would be possible to maximize the effect of the public advertisements.

The Effect of the Quality of Pre-Assigned Subject Categories on the Text Categorization Performance (학습문헌집합에 기 부여된 범주의 정확성과 문헌 범주화 성능)

  • Shim, Kyung;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.23 no.2
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    • pp.265-285
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    • 2006
  • In text categorization a certain level of correctness of labels assigned to training documents is assumed without solid knowledge on that of real-world collections. Our research attempts to explore the quality of pre-assigned subject categories in a real-world collection, and to identify the relationship between the quality of category assignment in training set and text categorization performance. Particularly, we are interested in to what extent the performance can be improved by enhancing the quality (i.e., correctness) of category assignment in training documents. A collection of 1,150 abstracts in computer science is re-classified by an expert group, and divided into 907 training documents and 227 test documents (15 duplicates are removed). The performances of before and after re-classification groups, called Initial set and Recat-1/Recat-2 sets respectively, are compared using a kNN classifier. The average correctness of subject categories in the Initial set is 16%, and the categorization performance with the Initial set shows 17% in $F_1$ value. On the other hand, the Recat-1 set scores $F_1$ value of 61%, which is 3.6 times higher than that of the Initial set.

A Research on the Use of Information Resources of the Humanities Scholars in Korea (인문학자의 정보자원 이용에 관한 연구)

  • Yoon, Cheong-Ok
    • Journal of the Korean Society for information Management
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    • v.26 no.1
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    • pp.7-34
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    • 2009
  • The purpose of this study is to investigate the use of information resources of the humanities scholars in Korea and suggest the strategic planning of academic library and information services to serve their needs. To collect data, a mail survey was conducted during the period of November 2007 through January 2008. Out of 799 humanities scholars sampled from 25 universities, 132 responded with the completion rate of 16%. Major findings in this study are as follows: First, the majority of the humanities scholars distribute their time equally to research and education, and conduct independent research. Second, they still largely depend on print resources, including scholarly journals, books, and manuscripts for getting information, while using some online information resource mostly in text such as electronic documents and journals. They expect that the frequency of using such print resources would not decline much, but the use of online resources could definitely increase in the next five years. Some variances in the behavior were observed among the groups of scholars according to their research experiences. It is suggested that academic libraries (1) conduct more active outreach, (2) prioritize between traditional and electronic resources, (3) plan information literacy education for traditional resources.

Comparative Analyses of the Uses of Information and Information Technologies in the Everyday Life of Undergraduate and Graduate Students Majoring Science and Engineering (넷세대 이공계 학부생과 대학원생들의 학업 및 일상생활에서의 정보이용과 정보기기 활용 비교분석)

  • Kwon, Nahyun;Lee, Jungyeoun;Chung, Eunkyung;Chang, Gilsoo;Yoon, Hyejin
    • Journal of the Korean Society for information Management
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    • v.30 no.2
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    • pp.269-295
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    • 2013
  • This study purported to study the uses of information and communication technology (ICT) tools in their daily life among the undergraduate and graduate students majoring science and engineering. It also examined the purposes of the uses of the major ICT tools, the differences in their information technology uses between graduate and undergraduate students. The data were collected from 83 undergraduate and graduate students from four universities using content analysis of an observational logs and a survey questionnaire. The observational logs were collected using an instant message application available on a smart phone. Study results revealed desktop computers, laptop computers, and smart phones as the three most heavily used ICT tools among the participants and typical situations students use each of the three tools. There were also sharp distinctions between graduate and undergraduate students in their selection of the tools, and distinctions between work and non-work situations. The findings of this study can be used to redesign information services and systems for the scientists and engineers in the next generation.

A Study on Shot Segmentation and Indexing of Language Education Videos by Content-based Visual Feature Analysis (교육용 어학 영상의 내용 기반 특징 분석에 의한 샷 구분 및 색인에 대한 연구)

  • Han, Heejun
    • Journal of the Korean Society for information Management
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    • v.34 no.1
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    • pp.219-239
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    • 2017
  • As IT technology develops rapidly and the personal dissemination of smart devices increases, video material is especially used as a medium of information transmission among audiovisual materials. Video as an information service content has become an indispensable element, and it has been used in various ways such as unidirectional delivery through TV, interactive service through the Internet, and audiovisual library borrowing. Especially, in the Internet environment, the information provider tries to reduce the effort and cost for the processing of the provided information in view of the video service through the smart device. In addition, users want to utilize only the desired parts because of the burden on excessive network usage, time and space constraints. Therefore, it is necessary to enhance the usability of the video by automatically classifying, summarizing, and indexing similar parts of the contents. In this paper, we propose a method of automatically segmenting the shots that make up videos by analyzing the contents and characteristics of language education videos and indexing the detailed contents information of the linguistic videos by combining visual features. The accuracy of the semantic based shot segmentation is high, and it can be effectively applied to the summary service of language education videos.