• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.218-220
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• 2014

Data economy era is rapidly approaching where big data plays the pivotal role of creating new values and solving various problems. This paper aims at designing Korea's new strategic direction of informatization in the big data age. For this purpose, paradigm shift of our society and the new role of IT together with the discussion on open platform and big data focused on its potentials and new possibilities are analyzed, which leads to the conclusion that big data will be a main engine for creating new values. Based on the results of the analysis, three kinds of strategic direction is designed. The first direction is on national vision making and 'data analysis-based creative nation' is suggested. The second direction is on catalyst making and 'smart government utilizing the power of big data' is proposed in details. The third direction is on sustainable leading mechanism and 'collaborative governance between stakeholders' is suggested.

• Proceedings of the Korea Concrete Institute Conference
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• 2003.11a
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• pp.265-268
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• 2003

This study discusses the fundamental properties of high performance concrete and autogenous drying shrinkage with the kinds and the adding amount of superplasticizer. According to results, drying shrinkage hardly shows differences by the kinds of superplasticizer, and is reduced with an increase of the adding ratio. Autogenous shrinkage is reduced in order of HP>HN>HM, but does not make a big difference. As the adding amount of superplasticizer increases, autogenous shrinkage is reduced due to a decrease of cement content which influences on autogenous shrinkage seriously.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2003.11a
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• pp.113-117
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• 2003

In this study is investigated the various properties of concrete with the kinds of stabilizing agent of recycling water and solid content in order to suggest a practical use of recycling water. According to the results, fluidity and air content varies slightly with the kinds of stabilizing agent and solid content, but does not make a big difference. Setting time does not differ remarkably from plain concrete at 20℃, but is shortened with an increase of solid content. Bleeding is reduced more largely in the case of S than in the case of R, and is not influenced by solid content. Compressive strength is equal or decreases in comparison with plain concrete at solid content of I and 50%, and shows the highest value at solid content of 3%. Length change by drying shrinkage is larger than plain concrete at solid content of 5%, and decreases at solid content of I and 3%. Therefore, it proves that the influence of the kinds of stabilizing agent is minute, and solid content is most effective at 3%.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2003.05a
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• pp.113-117
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• 2003

In this study is investigated the various properties of concrete with the kinds of stabilizing agent of recycling water and solid content in order to suggest a practical use of recycling water According to the results. fluidity and air content varies slightly with the kinds of stabilizing agent and solid content, but does not make a big difference. Setting time does not differ remarkably from plain concrete at 2$0^{\circ}C$, but is shortened with an increase of solid content. Bleeding is reduced more largely in the case of S than in the case of R, and is not influenced by solid content. Compressive strength is equal or decreases in comparison with plain concrete at solid content of 1 and 5%, and shows the highest value at solid content of 3%. Length change by drying shrinkage is larger than plain concrete at solid content of 5%, and decreases at solid content of 1 and 3%. Therefore, it proves that the influence of the kinds of stabilizing agent is minute, and solid content is most effective at 3%.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.2 no.1
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• pp.15-19
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• 1986

Our report refers to occidental vocal techniques from Greece until today. It is remarkable that even with poor anatomy knowledge, there were advices on styles given from very early periods, for both church and secular singing. During the 18th century, the names of "vox pectoris", "vox guturris" and "vox capitis" appear, nominations that somehow remain nowadays with great confusion about source of sound production and results of resonance. Vocal occidental styles developed different kinds of requirements from the singers, that had to adapt their vocal Possibilities to them. The same happened with "pop" song. Nowadays, all kinds of singers must have a conscious knowledge of its voice management to prevent vocal disturbances. We consider that the technique is the same, even when the singer has to sing Wagner, Debussy, Sconberg, Piazzola or Gershwin. The big changes occured at resonance levels, and because these different use of the vocal resonators the effects are quite different. In summary, the big differences on classical the effects are quite different. In summary, the big differences on classical and pop song are done on the different use of the resonators and its effects on the vocal tract. "Pop" singers, men and women, should be taught to use both registers, "modal" and "falsetto" to be able to reach the complete range of their songs without any harm to their larynxes. In our opinion, a good singing technique means that it could be adapted to every stylistic need. The same technique is adapted to the popular singer as well. The main difference lays on the use of resonators, pretty strong in the classic singer, weaken in the popular singer, on the volume and on the total extension of the voice. Breathing control, effortless emission and the use of "passage" at the right point should be taught to all singers, regardless of their style. (omitted)

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.167-172
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• 2021

The objective of this study is to present the academic implications and developmental direction of the police assigned for special guard system through big data analysis on the objective and macroscopic viewpoint of the media. As research method, this study conducted the analysis on 'police assigned for special guard' and the analysis of related words that would visualize the keywords highly related to keyword trend and news. Also, after dividing the period into the 1990s, 2000s, and 2010s, the number of relevant articles in each period was drawn for understanding the flow. In the results of this study, the perception of media report of police assigned for special guard was about the recruitment of police assigned for special guard, and relevant events/accidents, which showed the coexistence of positive interest in the recruitment of police assigned for special guard and negative image of events/accidents related to police assigned for special guard. As a result, however, the necessity and demand for police assigned for special guard are increasing. Thus, the police assigned for special guard should be engaged in work after carefully thinking of its role in charge of ethical responsibility and safety as an axis for maintaining the national safety and social order.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.3
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• pp.1-12
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• 2023

Objectives : The aim of this study is to analyze the news articles related to Korean Medicine(KM) and compare trends in news reports from 2018 to 2022. Method : News articles related to KM were collected through the BigKinds, the news bigdata service of the Korea Press Foundation. News reports from 1 January 2018 to 31 December 2022 were searched. 2,950 news articles out of a total of 12,497 met the inclusion criteria. First, quantitative changes in media coverage were analyzed by year, media outlet, and month. For qualitative analysis, two authors independently coded the content of news articles, discussed them until consensus, and consulted with a third researcher to classify them. In addition, keywords extracted by the BigKind's Topic Rank algorithm were compared and analyzed in each year. Results : The number of news articles on KM decreased by 42% in 2022 compared to 2018. Over a fiveyear period, the Naeil Shinmun reported the most on KM among newspapers, while the Hankyoreh did the least. Among broadcasters, YTN reported the most and SBS did the least. When analyzing the reports by category, the most common was 'treatment', followed by 'prevention' and 'scientification'. As a result of extracting keywords with high weight and frequency, 'immunity' and 'immune system' ranked the first and second in 2018, while 'COVID 19' and 'medical law violation' did in 2022. Conclusion : The decrease in media reports on KM during the COVID-19 epidemic period seems to be due to the limited role of KM in responding to infectious diseases, and efforts to expand the scope of KM can induce increased media reports and social interest.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.107-132
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• 2024

This study attempted to analyze newspaper articles related to May 18 through frequency analysis and network analysis using news data related to May 18 for about 30 years from 1990 to 2022 at the Korea Press Foundation's Big Kinds. Specifically, quantitative change trends were examined by analyzing the amount of articles by period and region, and the connection structure between major keywords by the regime was explored through network analysis by regime using co-appearance keywords. As a result of the analysis, it was found that 2019 had the largest amount of coverage, which had many social issues in time, and the Jeolla-do region had the largest amount of coverage in the region. And as a result of network analysis, there were differences in words related to May 18 in news data according to the perception and policy of the regime toward May 18. As a result of synthesizing the analysis of May 18 news data, it was confirmed that May 18 was becoming a democratic movement over time regardless of region, but at the same time, the distortion of May 18 was not resolved.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.149-158
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• 2017

Big data have been presenting us with exciting opportunities and challenges in economic development. For instance, in the agriculture sector, mixing up of various agricultural data (e.g., weather data, soil data, etc.), and subsequently analyzing these data deliver valuable and helpful information to farmers and agribusinesses. However, massive data in agriculture are generated in every minute through multiple kinds of devices and services such as sensors and agricultural web markets. It leads to the challenges of big data problem including data collection, data storage, and data analysis. Although some systems have been proposed to address this problem, they are still restricted either in the type of data, the type of storage, or the size of data they can handle. In this paper, we propose a novel design of a platform for collecting and analyzing agricultural big data. The proposed platform supports (1) multiple methods of collecting data from various data sources using Flume and MapReduce; (2) multiple choices of data storage including HDFS, HBase, and Hive; and (3) big data analysis modules with Spark and Hadoop.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.77-88
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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. In this study, we analyzed the supply chain of beer industry, which is the most prominent consumption industry with "bullwhip effect", and further established a big data collaborative inventory management model for the supply chain of beer industry based on system dynamics. We used the Vensim software for simulation and sensitivity test and after appling our model, we found that the inventory fluctuations of the participants in the beer industry supply chain became significantly smaller, which verified the effectiveness of the model. Our study can be also applied to the possible problems of the large data supply chain collaborative inventory management model, and gives certain countermeasures and suggestions.