• Journal of Korean Library and Information Science Society
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• v.12
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• pp.161-198
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• 1985

This paper is a study of the organization and use of theses collections in university libraries of Korea. A questionnaire consisted of 31 questions on 6 items was sent to 44 university libraries of which 40 libraries responded. Results of the study can be summarized as follows: 1. Figures concerning registration of theses can be tabulated as follows. 2. In differentiation of oriental and occidental theses, 20 libraries (50%) depend on the basis of the text language. 3. Thirty-four libraries (85%) classify the theses and 27 (80%) of them use the same tables with book classification schedules. For classification level, 17 libraries (48.6%) classify them in section numbers whereas 13 (37.1%) in sub-sections. 4. Catalog or index cards of theses are made in 35 libraries (87.5%) of which 20 libraries are using the second level of bibliographic description. 5. Roman alphabets in a title are described a such 27 libraries (67.5%). 6. Most of respondents are preparing author, title and classified catalog cards for users. The research reveals that only 8 libraries are giving subject headings to the theses. 7. Twenty-three libraries (63.9%) have theses catalogs in separation from their book catalogs. 8. Most helpful bibliographic elements in an entry for users are reported to be author, title, date and notes. In general, theses collections have many different features in various aspects compared with book materials. Therefore it is desirable to process the former differently with the latter. Firstly, it would be more convenient to register theses on the different register from the book register. Secondly, minute classification of theses would be necessary for their users. thirdly, text language is the common basis of discriminating oriental materials and occidental ones. Fourthly, a simple catalog would be quite good enough to use theses collection, for most helpful elements in an entry are limited to author, title, date and notes. Fifthly, it is strongly recommendable to transcribe all the roman alphabets on the titles into Korean alphabets. Sixthly, the research revealed that our library would needs to develop subject heading work which is for behind other library works.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.421-425
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• 2007

The exponential increase of digital contents brought about the e-Challenge crisis to the librarians. How can all the e-resources be managed effectively? How can we detect all the broken links? How can we assist the users to the right resources? This paper concentrates on building CLICK(Cooperative Link Center in KOREA) as a knowledge compass by collecting diverse science & technology information and creating tight coupled links between information resources for reference linking and providing users with the optimal route for the resource per user. If the publishers, Abstract & Index DB, Searching Portal, Electronic Libraries, Full-text DB and Aggregator can be linked by using a standardized way through a CLICK, the service channels can be diversified. Users can select the channels without rein under according to a use purpose and conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3992-3998
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• 2013

This paper is related to the method of adding a emotional speech corpus to a high-quality large corpus based speech synthesizer, and generating various synthesized speech. We made the emotional speech corpus as a form which can be used in waveform concatenated speech synthesizer, and have implemented the speech synthesizer that can be generated various synthesized speech through the same synthetic unit selection process of normal speech synthesizer. We used a markup language for emotional input text. Emotional speech is generated when the input text is matched as much as the length of intonation phrase in emotional speech corpus, but in the other case normal speech is generated. The BIs(Break Index) of emotional speech is more irregular than normal speech. Therefore, it becomes difficult to use the BIs generated in a synthesizer as it is. In order to solve this problem we applied the Variable Break[3] modeling. We used the Japanese speech synthesizer for experiment. As a result we obtained the natural emotional synthesized speech using the break prediction module for normal speech synthesize.

• Journal of Preventive Medicine and Public Health
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• v.48 no.6
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• pp.287-300
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• 2015

Objectives: Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes. Methods: A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance. Results: We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio $[OR]_{\text{Frequent stress events}}$, 5.40; 95% confidence interval [CI], 4.63 to 6.29; $OR_{\text{Severe distress}}$, 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants' medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A1c levels of 6.5% or more, and comorbidities, were other correlates of poor reported health. Conclusions: Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.

• Knowledge Management Research
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• v.18 no.3
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• pp.101-124
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• 2017

Recently, 'happiness' has become a major issue of national level, exceeding the matter of personal issue. Especially, Korea has actually increased its GDP by focusing on the economic growth for decades, and now it has achieved the economic/technical development as an IT power. However, Korean people's satisfaction with life called 'happiness index' is moving back every year. Even though there have been continuous efforts to enhance the national happiness by mentioning it as an essential issue in the national level, there are not many researches related to it. This study drew measures to enhance happiness by extracting happiness factors and unhappiness factors of Korea through social network service. Especially, it aims to analyze, compare, and apply happiness factors and unhappiness factors of three countries such as the US, UK, and Brazil with higher happiness indexes than Korea. For this, through the topic modeling of text mining technique, postings including keywords about happiness and unhappiness were collected/analyzed from Twitter of Korea, the US, UK, and Brazil. The significance of this study is to discuss measures to increase happiness and to decrease unhappiness by mining/analyzing the actual public opinions about happiness and unhappiness in four countries like Korea, the US, UK, and Brazil by using the topic modeling. Through this, the quality of life of Korean people could be improved by suggesting measures to enhance happiness and to decrease unhappiness in the level of individual, family, society, and government.

• Journal of Information Management
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• v.39 no.4
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• pp.21-46
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• 2008

The Result of this study (1)In the case of KDI school of public policy and management, since it makes up a very interesting and diversified racial environment that shapes the multinational global community, there must be careful considerations for foreign students together with wide publicity about Korea on the side of the school headquarters. (2)The library must become familiar with the ways to utilize outside organizations in order to provide user education to the foreign students. (3)In order to make it perfectly sure for them to provide not only the secondary materials such as bibliography, index, and abstract, but also the necessary full-text from the preparatory stage of the students' studies. (4)The library must grasp the students' needs through communication and must promote the efficiency of library operation by introducing an information service strategy measure similar to that of FISP so they can acknowledge and provide necessary information to fulfill the students' academic needs in advance.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.5
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• pp.255-259
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• 2005

To search a pattern P in a text, such index data structures as suffix trees and suffix arrays are widely used in diverse applications of string processing and computational biology. It is well known that searching in suffix trees is faster than suffix ways in the aspect of time complexity, i.e., it takes O(${\mid}P{\mid}$) time to search P on a constant-size alphabet in a suffix tree while it takes O(${\mid}P{\mid}+logn$) time in a suffix way where n is the length of the text. In this paper we present a linear-tim8 search algorithm in suffix arrays for constant-size alphabets. For a gene.al alphabet $\Sigma$, it takes O(${\mid}P{\mid}log{\mid}{\Sigma}{\mid}$) time.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.70-76
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• 2010

This paper Extended ELZW(EBCDIC Lempel Ziv Welch) algorithm uses 2 byte prefix field for pointer of a table and 1 byte suffix field for repeat counter. where, a prefix field uses a pointer(index) of compression table and a suffix field uses a counter of overlapping or recursion text data in compression table. To increase compression ratio, after construction of compression table, table data are properly packed as different bit string in accordance with a alphabet, Hangeul, and pointer respectively. Therefore, proposed ELZW algorithm is superior to 1byte LZW algorithm as 5.22 percent and superior to 2byte LZW algorithm as 8.96 percent.

• The Journal of Information Systems
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• v.30 no.3
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• pp.21-45
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• 2021

Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.