• Title/Summary/Keyword: Library Management

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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.

An Analysis on Information Seeking Behavior and Needs of Hearing Impaired College Students (청각장애 대학생의 도서관 이용행태와 정보요구에 대한 연구)

  • Jang, Bo Seong
    • Journal of the Korean Society for information Management
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    • v.32 no.1
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    • pp.297-316
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    • 2015
  • This study looks into how hearing-impaired college students use libraries and what their information needs are in order to prepare basic materials which would be applied for developing a library service program and others proper enough to be used by the hearing-impaired college students. In order to achieve the research goal, the study gathered data from a total of 155 hearing-impaired college students through a survey and interviews and a frequency analysis, a cross validation, a t-test and a one-way ANOVA were conducted to analyze the data. At the end of its research, the study confirmed that the hearing-impaired college students' gender, years, degrees of disability, schools, specialties and prosthetic appliances would make significant differences in how the students use the libraries. In addition, the study took a look into differences in the hearing-impaired college students' information needs caused by types of the students' prosthetic appliances, schools and degrees of disability and found out that these types of the prosthetic appliances the students use would significantly affect every category of their information needs. The study now also understands that both the schools and the degrees of disability would make significant differences in a few categories of the information needs, and the former influences education and promotion targeting users and arrangement of sign language interpreters while the latter affects education and promotion targeting users and improvements in browsing environments.

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 Study on Implementation and Design of Scheme to Securely Circulate Digital Contents (디지털콘텐츠의 안전한 유통을 위한 구조 설계 및 구현에 관한 연구)

  • Kim, Yong;Kim, Eun-Jeong
    • Journal of the Korean Society for information Management
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    • v.26 no.2
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    • pp.27-41
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    • 2009
  • With explosive growth in the area of the Internet and IT services, various types of digital contents are generated and circulated, for instance, as converted into digital-typed, secure electronic records or reports, which have high commercial value, e-tickets and so on. However, because those digital contents have commercial value, high-level security should be required for delivery between a consumer and a provider with non face-to-face method in online environment. As a digital contents, an e-ticket is a sort of electronic certificate to assure ticket-holder's proprietary rights of a real ticket. This paper focuses on e-ticket as a typical digital contents which has real commercial value. For secure delivery and use of digital contents in on/off environment, this paper proposes that 1) how to generate e-tickets in a remote e-ticket server, 2) how to authenticate a user and a smart card holding e-tickets for delivery in online environment, 3) how to save an e-ticket transferred through network into a smart card, 4) how to issue and authenticate e-tickets in offline, and 5) how to collect and discard outdated or used e-tickets.

The Current State of Foreign Transition to Open Access Journal Publishing in the Field of HSS (해외 인문사회과학 학술지 오픈액세스 전환 동향 연구)

  • Lee, Jae Yun;Joung, Kyoung Hee
    • Journal of the Korean Society for information Management
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    • v.37 no.3
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    • pp.301-326
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    • 2020
  • This study analyzed recent cases of transition to open access(OA) journals in humanities and social sciences(HSS) in foreign countries to find a way to transition to OA journals in Korea. Ling OA and UP led by researchers, OLH and KU led by libraries, S2O led by publishers and L+F model led by funders and libraries were analyzed. Programs by national funding agencies such as the Norwegian Research Council, Canada Social Sciences and Humanities Research Council, Austrian Science Fund, and Swiss Academy of Humanities and Social Sciences were also reviewed. Based on the results of the analyses, this study suggests for transition in Korean HSS field as follows; 1) transitions to open access journals in HSS should be supported at national level 2) the stakeholder in scholarly communications such as the nation, universities, libraries, research funders, scholarly societies etc has their own role in the transition but funders and libraries are the most important in financial support for open access publishing 3) but the financial support for the first stage of the transition should be done at national level 4) and open access journal publishing consortium comprised of libraries and information service institutions in the public sector such as KERIS, KISTI and the national library should be established 5) non commercial publishing platforms for scholarly societies should be developed and distributed.

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.

An Experimental Study on the Effectiveness of Storyboard Surrogates in the Meanings Extraction of Digital Videos (비디오자료의 의미추출을 위한 영상초록의 효용성에 관한 실험적 연구)

  • Kim, Hyun-Hee
    • Journal of the Korean Society for information Management
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    • v.24 no.4
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    • pp.53-72
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    • 2007
  • This study is designed to assess whether storyboard surrogates are useful enough to be utilized for indexing sources as well as for metadata elements using 12 sample videos and 14 participants. Study shows that first, the match rates of index terms and summaries are significantly different according to video types, which means storyboard surrogates are especially useful for the type of videos of conveying their meanings mainly through images. Second, participants could assign subject keywords and summaries to digital video, sacrificing a little loss of full video clips' match rates. Moreover, the match rate of index terms (0.45) is higher than that of summaries (0.40). This means storyboard surrogates could be more useful for indexing videos rather than summarizing them. The study suggests that 1)storyboard surrogates can be used as sources for indexing and abstracting digital videos; 2) using storyboard surrogates along with other metadata elements (e.g., text-based abstracts) can be more useful for users' relevance judgement; and 3)storyboard surrogates can be utilized as match sources of image-based queries. Finally, in order to improve storyboard surrogates quality, this study proposes future studies: constructing key frame extraction algorithms and designing key frame arrangement models.

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.

A Study on Digital Humanities Education Programs at American Universities (미국 대학의 디지털 인문학 교육 프로그램 연구)

  • Lee, Jisu;Lee, Hye-Eun
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.107-128
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    • 2019
  • This study examines cases of digital humanities education programs at universities, university libraries and digital humanities centers in the United States. As a result of the research, it was analyzed that the university-centered education program operates in conjunction with other departments to take courses related to humanities and digital technology in general. The digital humanities education program is not operated as a full degree program, but most programs are operated as graduate certificate programs, and it is required to require a graduate degree in library and information science and humanities in advance. Most of the digital humanities centers run educational programs centered on faculty and postdoctoral researchers in universities in connection with universities and university libraries to support the humanities scholars. Lastly, the university's digital humanities education program is operated in the form of research support for students and researchers of all majors. In addition, the content of the educational program focused on the practice for digital projects rather than theory. Empowering digital literacy and supporting digital technology-based research has become a new role for university libraries, which requires libraries to play a central role in digital humanities education.

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.