• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.203-208
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• 2022

The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.29-63
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• 2014

This study attempted to reveal the characteristics of the Y generation, to derive the services of the next generation digital library, and to compare differences between the demands of the baby boom generation and the Y generation to some extent. As a result, first, it is shown that the digital device the Y generation uses the most, was a cell phone or smartphone, followed by desktop PC, notebook PC, and digital camera. Although there were some differences, the Y generation's use ratio of digital devices was substantially similar to the baby boomers'. Second, there was a significant difference between the Y generation and baby boom generation in terms of using digital services. While the Y generation used internet portals the most, the baby boom generation used e-mail service the most. Third, we surveyed the services which the Y generation and baby boom generation require for the next generation digital libraries, by grouping as follows: the cloud service, infinite creative space (maker space), big data, augmented reality, Google Glass, context-aware technologies, semantic services, SNS service, digital textbook service, RFID and QRCode service, library space configuration, a state-of-the-art display technology, and other innovative services. While the most demanded service by the Y generation was big data service, the baby boom generation most demanded digital textbook service.

• Journal of Information Management
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• v.39 no.1
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• pp.27-52
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• 2008

Electronic information, especially e-journals took their position as core resources in current scholarly communication. However, the publishing and pricing structure of e-journal licensing process have not yet succeeded to be reorganized in accord with newly changed electronic scholarly communication environment. That resulted in a lot of challenges scholarly communication now faced. This study aimed to analyze key issues regarding big deal, pricing, licensing, archiving, copyright and public access by conducting comprehensive literature review and examining movements of world wide scholarly institutes and alliances. And then this study eventually purposed to draw some strategies which domestic libraries and consortia should take in order to lead current changes in scholarly communication.

• Proceedings of the Korean Society for Information Management Conference
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• 2018.08a
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• pp.149-152
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• 2018

사회 전반에 걸쳐 많은 영역에서 빅데이터 기반의 기술이 개발되고 활용됨에 따라 이러한 기술이 가져올 다양한 문제들에 대하여 인식하기 시작하였다. 이에 본 연구는 현재 공공도서관이 제공하고 있는 빅데이터 기반 정보서비스 현황에 대해 정리하고, 이러한 정보서비스를 위한 데이터 수집 및 활용 과정에서 일어날 수 있는 전반적인 윤리 문제에 대해 영국의 데이터 프레임워크 등을 적용하여 5가지 측면으로 살펴보았다.

• Korean Institute of Interior Design Journal
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• v.25 no.5
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• pp.140-147
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• 2016

This research aims to establish the size standard of university library's user space, and present the standard and method to calculate total area required in the planning of new building construction and remodeling. Nine university libraries newly constructed or remodeled since 2000 were selected among the libraries of large scale universities with more than 10,000 enrolled students as the target libraries in this research. The target libraries were classified into A group (five cases partially remodeled) and B group (four cases newly constructed or fully remodeled) on the basis of the change of times. A university library can be divided into three spaces (user space, administration space and public space). This research classified the reading room in the user space into bookshelf zone, reading zone, information/office zone and hall/other zone, and analyzed area ratio according to each zone. B group's bookshelf zone decreased 12% more than A group, and B group's reading zone increased 10% more than A group. However, there was no big change in the area ratio of information/office zone and hall/other zone. This can be interpreted that university library changes from book and archive preservation-oriented space to user-oriented space. This research presented a proper reading room area calculation method, based on the capacity of books, by reflecting such a change. Each zone's standard was set up through classification of domestic and international standards, based on which, the calculation method of university library's total floor area required was presented. The reason why there was difference in university library's total floor area required according to domestic standard and international standard was that the number of enrolled students per seat in the reading room was different. The area calculation methods presented in this research can be utilized as useful data upon planning university library construction or remodeling.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.1
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• pp.137-150
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• 2009

This study has introduced folksonomy to general patterns of folksonomy tags for the university libraries that have practically implemented Library 2.0. From the results, we can see that average about 1.35 tag is used for one content. Typical pattern of the tags follow a power function that frequency of use decreases as No. of uses increases, 79.51% of tags are expressing topic of contents, and 84.61% of tags are tag of social motivation. The results of analysis on increase/decrease rate for tags divided into 4 quarters said that A university library has big differences from quarters while B university library has similar data between quarters. The users have used average 5.25 tags. Trends of the users can be divided into 3 groups according to tagging patterns of the users.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.217-240
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• 2017

The purpose of this study was to investigate the semantic network analysis to understand image contents and to examine the degree to which words, word clusters contributed to the formation of semantic map within image contents. For this research, from 1993 until 2016 the field of the image contents were collected for a total of 2,624 cases papers. The word appeared in Title analyzed the social network by using the R program of Big Data. The results were as follows: First, The field of image contents is based on researches related to 'image', 'media' and 'contents'. Second, there is a three-step flow ('education' -> 'media' -> 'contents') of research in the field of image contents. Third, researches related to 'broadcasting', 'digital', 'technology', and 'production' were continuously carried out. Finally, There were new research subjects for each regime.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.359-379
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• 2019

This study aims to suggest the ways to reinforce academic library's supports for users' class·learning activities. For this purpose, this study collected the development plans of academic libraries in Korea, and analysed the plans for supporting class·learning activities. As a result, it is shown that the most libraries emphasized 'expansion of learning material' and marked it on development plan. As subsequent plans, libraries provided the action plans of 'expansion of reading education and reading programs', 'expansion of electronic materials', 'expansion of characterized materials' one after another. This study suggests 'user-centered collection development and expansion of learning materials', 'activation of library services making use of big data', 'enlargement of engagement services for handicapped and foreign students' as ways to strengthen the services of academic libraries to support class·learning activities of users.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1427-1434
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• 2017

Due to the acceleration of the 4th industrialization, the data around us rapidly increased. Therefore, it is necessary to be able to more easily grasp the nature and meaning of data obtained through data analysis than to collect data, and apply it flexibly to the value judgment of data. Visualization technology is now attracting attention in many fields. Visualization allows the user to more easily grasp the information of the data with graphs, charts, etc. so that the data analysis result can be understood more easily, so that the user can make an immediate judgment and make a quick decision. Among them, there is a high degree of interest in visualization using public data, which is highly useful to users. In this paper, we implemented R - library and R Studio to visualize public data at the installation sites of bicycle storage sites among various software that can express visualization.