• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.37-45
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• 2022

With the development of the 4th industry, big data using AI is being used in many areas of our lives, and the importance of data is increasing accordingly. In particular, as various services using personal information appear and hacking attacks that exploit them appear in various ways, the importance of personal information management is increasing. Personal information must be managed safely even when collecting, retaining, using, providing, and destroying personal information, and the rights of information subjects must be protected. In this paper, an analysis was performed on the notification of usage history during the protection of the rights of information subjects using the MyData model. According to the Personal Information Protection Act, users must be periodically notified of the use of personal information, so we notify each individual of the use of personal information through e-mail or SNS once a year. It is difficult to understand and manage which company use my personal information. Therefore, in this paper, a personal information usage history notification system model was proposed, and as a result of performance analysis, it is possible to provide the controllability, availability, integrity, source authentication, and personal information self-determination rights.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.121-134
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• 2019

The Fourth Industrial Revolution has differentiated technologies such as artificial intelligence, IoT(Internet of things), big data, and mobile. As the civilization develops more and more, humanity enjoy the cultural activities more than economic activity for the food and shelter. The platform structure based on the advanced information technology of the present will expand the cultural contents area in a variety of ways. Cultural contents respond sensitively to changes in consumer and will be useful experiences of human activities. Therefore, it should be noted again that the contents industry should not be limited to the discussion of the application of the fourth technology, but should be produced with emphasis on useful experiences of human being. In other words, the discussion of human activities around cultural contents should be focused on how to apply beyond the use of fourth industrial technology. Therefore, it is necessary to analyze the basis of the successful storytelling of the planning stage to connect the fourth industrial technology and human useful experience as a method for developing cultural contents, and to build and propose a model as a strategic method. This study analyzes domestic and foreign cases made by using big data among the visual contents which show continuous increase of consumption among culture industry field, and draws success factors and limit points. Next, we extract what is the successful matching factor that influenced consumer 's consciousness, and find out that the structure of culture prototype has been applied in the long history of mankind, and presents it as a storytelling model. Through the above research, this study aims to present a new interpretation and creative activity of cultural contents by presenting a storytelling model as a methodology for connecting creative knowledge, away from the general interpretation of social phenomenon applied with big data.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.12
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• pp.1403-1410
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• 2015

The purpose of this study is to provide ways to utilize and create valuable medical information utilizing Medical Big Data created by field in hospital information system. The results of this study first creates new medical information of Medical Information system through medical big data analysis and integration of created data of PACS linked with many kinds of testing equipment and medical image equipment along with medical treatment information. Medical information created in this way produces various health information for treatment and prevention of disease and infectious disease. Second, it creates profit statistics information in various ways by analyzing medical big data accumulated through integration of billings and receipt, admission breakdown of patients. Profit statistics information created in this way produces various administration information to be utilized in profit anaysis and operation of medical institution. Likewise, data integration of personal health history, medical information of public institutions, medical information created in hospital information system produces valuable medical health information utilizing medical data.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.301-311
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• 2020

With the recent global urban issues such as climate change, urbanization, and energy problems, the smart city was proposed as one of the solutions in urban planning. This study introduces the smart city initiatives of South Korea by examining the recent history of smart city policies and their limitations. This case study reflects the experience of one of the countries which thrived to building smart cities as their national key industries to drive economic growth. It also analyzes the trends of the smart city using big data analysis techniques. Although there are obstacles such as economic recession, failing to differentiate from the U-city, low service level than expected smart functionality, We could recognize the current status of the smart city policies in South Korea such as 1) Korean smart city development projects are actively implemented, 2) public consensus suggests that applying advanced technology and the active role of government need, 3) a comprehensive and strategic approach with the integration and application of advanced technologies is required as well, 4) investment by both private and public sectors need to deliver social improvements. This study suggests future direction of smart city polity in South Korea in the conclusion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.155-156
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• 2021

The development history of China's big data is relatively short, and it has only been ten years so far. Although the application level of big data in real life is not high, some achievements have been made in the supply chain. Various kinds of data will be generated in the actual operation of the supply chain. If these data can be effectively classified and used, the "bullwhip effect" of the operation of the supply chain can be also effectively improved. Thus this paper proposes the development of a supply chain collaborative inventory management model and application framework using big data.

• Korea Journal of Hospital Management
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• v.13 no.1
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• pp.42-64
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• 2008

This study was conducted to evaluate the quality in medical records by analyzing its completeness through setting up the level of record on the patient's past history and through examining the actual medial records. Targeting the information on the patient's past history in interns' records, residents' records and nurses' records toward 403 inpatients who were admitted first in 2004 at an university hospital due to stomach cancer. We analyzed whether the charts were recorded or not, recording level, the satisfaction with the expectant level of the records in the hospital targeted for a research and the level of agreement. The results were as follows; first, as for the rate of recording those each items, they were high in the chief complaint & present illness and the past illness history. Depending on the group of recorders, the recording rate showed big difference by items. Second, as a result of measuring the level after dividing the recording level of items for the patient's past history from Level 1 to Level 4 by each item, the admission history, the past illness history, and the family history were about Level 3, and the smoking history, the medication history, the chief complaint & present illness, the drinking history and allergy were about Level 2. In the admission department, it was excellent in the interns' records for the medical department. Third, as a result of its satisfactory level by comparing the expect level of a record and the actual record by item in information on the patient's past history, which was expected by the medical-record committee members of the hospital targeted for a study. And forth, we analyzed the level of agreement with Kappa score in the level of 'Yes' or 'None' related to the corresponding matter in Level 1, in terms of information on the past history in the intern's record, the resident's record, and the nurse's record. The level of agreement in the resident's record & the nurse's record, and in the intern's record & the resident's record was from "excellent" to "a little good". There were differences in the level of completeness and in reliability for the information on the past history by the recorder group or by the admission department. The encounter process that was performed by the admission department or the recorder group, indicated the result that was directly reflected on the quality of medical records, thus it was required further study about the medical record documentation process and quality of care. The items that showed the high recording rate quantitatively were rather low, consequently we'd should develop the tool for the qualitative inspection and evaluate the medical records further. And the items were needed to be detailed in the record level were rather low, and hence there needed to be a documentation guideline and education by the clinical departments.

• Asian review of World Histories
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• v.4 no.1
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• pp.3-34
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• 2016

This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.

• Journal of the Korean Institute of Rural Architecture
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• v.6 no.1
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• pp.54-63
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• 2004

Ecomuseum has changed for general museums with a strong historical connotation, and more identity museums, which reminds one of their purposes of providing evidence, conserving and remembering. Small museums playa very important social role and have a level of importance which should do something to improve cultural policy. The "ecomuseum" phenomenon, in other words this spontaneous birth of numerous museums in local communities, this desire to retrace one's history and fix it in one's mind, has only one precedent in Italy. This precedent involved the opening of numerous museums dedicated to the "Risorgimento" and "Patriotic History", which, in the closing decades of the 19th century, were founded on political input all over the country, in big towns and little villages alike. Searching amidst the exhibits for the memory of a national identity and they are proof that local communities are filled with an unstoppable need to know about their roots and to reassess their own identities.

• Korean Management Science Review
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• v.27 no.1
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• pp.61-73
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• 2010

Purpose of the War history's study is getting instruction by analyzing victory and defeat factor. This study is studied by qualitative form in war study mainly. In case recording literature is full, victory and defeat factor analysis is easy, but occasionally definite analysis that recording literature is feeble is difficult. Also, when it is battle result that escape common sense, about victory and defeat factor, various estimations are brought. As such example, there is Myeong-Ryang sea-battle at Japanese Invasion of Korea in 1592 and Korea(Cho-Sun) naval forces did big victory in 13 vs. 133 numerical inferiorities. This study presented method of study that using agent based simulation model for quantitative analysis of these victory and defeat factor.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.05a
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• pp.144-147
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• 2004

In this paper, field application of mass concreting using super retarding agent(SRA) are discussed based on setting. time difference with SRA in big discount market in Chongju. Mechanical and physical properties of .concrete are investigated. Temperature history of concrete is also measured. Slump and air content meet the requirement of target value. Compressive strength of concrete exceeded the nominal strength with 24MPa. Compressive strength of SRA concrete is higher than that of plain concrete by about $3\~4\%$. For temperature history, peak temperature of concrete at middle section at top concrete layer reached $49.6^{\circ}C$ within 24hours, and at bottom concrete layer, $54.6^{\circ}C$ within 42hours. Based on the naked eye's observation, no crack was found at mass concrete.