• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5752-5761
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• 2013

This study was performed to propose the developmental direction of the elderly suicide study by analyzing the trend of study in elderly suicide. A literature search was conducted using RISS, KISS, Nanet. A total of 184 research articles which were published on elderly suicide in Korea from 1996 to 2013 were analyzed with structured analysis forms. For statistical analysis, frequency and percentage were used with EXCEL program. As a results, a study on elderly suicide in the social welfare sector was actively and a survey of general elderly proportion of the study was high. In addition, most concepts of research were associated with suicidal ideation, depression, social support, and stress of the elderly. Therefore, existing in previous studies classified as high-risk elderly people living alone, poor elderly, a man who attempted suicide risk in elderly subjects research through a variety of research methods will be made.

• Korean Journal of Construction Engineering and Management
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• v.22 no.1
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• pp.13-26
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• 2021

To promote the off-site construction (OSC) in Korea, technical innovation applied to each phase, such as design, engineering, factory production, and site assembly, is important and equally necessary is the development of management and operation methods that are different from existing construction production methods. However, the current OSC-related studies in Korea are conducted from the technical development viewpoints, such as construction methods. Additionally, few studies have been conducted to derive a management measure for successful OSC projects. Therefore, studies to derive a management measure based on a clear understanding of the core success factors of OSC projects are required. This study aims to analyze several studies related to the success factors of OSC projects conducted overseas and to show its core implications for the successful management of OSC projects in Korea. We expect this study to improve the viability of OSC projects, which will be expanded in Korea in the future.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.55-77
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• 2021

Based on the analysis of historical backgrounds and terms of Taekwondo, this study was conducted to analyze the characteristics of cataloging records related to Taekwondo in 53 national libraries of each country. The results are as follows. To begin with, while most of the Taekwondo-related records are concentrated in some specific national libraries such as the United States, Germany, Republic of China, United Kingdom, and Spain, there are four libraries that do not have one. Second, the title keyword of Taekwondo-related records was 93.5% for the term that directly meant Taekwondo and 6.5% for Korean martial art, Korean art of self-defense, and Korean karate etc. The frequency of materials by language is 38.7% for English and 8~9% for German, Spanish, Chinese, and Korean, respectively. The Roman translation for Taekwondo is 50.3% for 'Taekwondo', and 18.5% for 'Tae kwon do'. Third, the subject heading of Taekwondo-related records was 86.9% for 'Tae kwon do' or 'Taekwondo' etc. 7.6% for 'karate', 5.7% for general subject heading, and 12.0% for blank. This means that some national libraries misunderstand Taekwondo as karate.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.1
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• pp.11-20
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• 2023

Traditionally, surveys or interview studies have been used to measure satisfaction factors for public services. This method focuses on the simple frequency of civil complaints and does not consider the aggravation of emotions implied in civil complaints. As a result, it is difficult to judge the urgency of civil complaints and the severity of grievances experienced by civil petitioners. This study aims to calculate the negative emotional value of collective complaints by using the happiness score for each word on the Hedonometer. The Anti-Corruption and Civil Rights Commission applied a Hedonometer to the top civil complaint topics and related keyword data by region in 2021 to calculate negative sentiment values by subject of civil complaints, and visualize the distribution by region. Using the negative emotional values derived from the results of this study, the severity of emotions contained in civil complaints can be considered. It is also expected to be helpful in determining the urgency of civil complaints and the severity of grievances experienced by civil petitioners.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.151-178
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• 2023

At a time when libraries are attracting attention as institutions and spaces that can foster future capabilities, this study conducts a general survey of the current status of public library programs related to the future capabilities and investigate the social awareness on libraries and future capabilities through big data analysis. As a result, first, programs are being planned and provided with the keyword of future capabilities, but most of them are limited to makerspace programs, edutech programs, and experience programs. Also, the detailed types of programs are limited to 3D print, coding, AR, VR, etc. In addition, current library programs related to future capabilities are not subdivided by each competency, these programs are provided in the comprehensive sense of future competency. Second, in the awareness survey through big data analysis, education, future capabilities, and libraries were found to be highly frequent, and it was seen that library reading, books, culture, and programs were related to strengthening future capabilities. Accordingly, in the future, libraries need to develop and provide systematic programs to cultivate future capabilities, and there is also a need to develop future capabilities improvement programs that take the life cycle into account.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.274-281
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• 2020

N-gram analysis casts a new look at the n-word cluster in use different from the previously known idioms. It analyzes a corpus of English textbooks for frequently occurring n consecutive words mechanically using a concordance software, which is different from the previously known idioms. The current paper aims at extracting and comparing 4-gram words clusters between South Korean high school English textbooks and its North Korean counterpart. The classification criteria includes number of tokens and types between the two across oral and written languages in the textbooks. The criteria also use the grammatical categories and functional categories to classify and compare the 4-gram words clusters. The grammatical categories include noun phrases, verb phrases, prepositional phrases, partial clauses and others. The functional categories include deictic function, text organizers, stance and others. The findings are: South Korean high school English textbook contains more tokens and types in both oral and written languages. Verb phrase and partial clause 4-grams are grammatically most frequently encountered categories across both South and North Korean high school English textbooks. Stance is most dominant functional category in both South and North Korean English textbooks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.215-226
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• 2017

This study analyzed trends in agricultural and food marketing studies from 1984 to 2015 using text-mining techniques. Text-mining is a part of Big-data analysis, which is an effective tool to objectively process large amounts of information based on categorization and trend analysis. In the present study, frequency analysis, topic analysis and association rules were conducted. Titles of agricultural and food marketing studies in four journals and reports were used for placing the analysis. The results showed that 1,126 total theses related to agricultural and food marketing could be categorized into six subjects. There were significant changes in research trends before and after the 2000s. While research before 2000s focused on farm and wholesale level marketing, research after the 2000s mainly covered consumption, (processed)food, exports and imports. Local food and school meals are new subjects that are increasingly being studied. Issues regarding agricultural supply and demand were the only subjects investigated in policy research studies. Interest in agricultural supply and demand was lost after the 2000s. A number of studies after the 2010s analyzed consumption, primarily consumption trends and consumer behavior.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.137-146
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• 2020

NLP means the technology that mechanically analyzes a language spoken by a human and makes it into a form that can be understood by a computer. This is important because it is a core technology for communication between humans and devices, which is the basis of artificial intelligence. In this paper, I analyzed patent information of US and Korea in order to identify technical trends related to NLP, especially semantic analysis. and the purpose of this study is to provide meaningful information for future research on NLP. In conclusion, the number of Korea patents is 7.9% compared to the USA and the different frequencies of the major keywords were found to differ from country to country in technical direction. In addition, the upward or downward keywords are twice as many in the U.S. as in Korea, and reflect the trend of the times relatively more. Based on these results, in future study, I will analysis how upward trending keywords are described in actual patents for concrete technology prediction.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.769-778
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• 2023

This study compared and analyzed parental leave and child allowance, two major policies among solutions to the current serious low fertility rate problem, using unstructured data, and sought future directions and implications for related response policies based on this. The collection keywords were "low fertility + parental leave" and "low fertility + child allowance", and data analysis was conducted in the following order: text frequency analysis, centrality analysis, network visualization, and CONCOR analysis. As a result of the analysis, first, parental leave was found to be a realistic and practical policy in response to low fertility rates, as data analysis showed more diverse and systematic discussions than child allowance. Second, in terms of child allowance, data analysis showed that there was a high level of information and interest in the cash grant benefit system, including child allowance, but there were no other unique features or active discussions. As a future improvement plan, both policies need to utilize the existing system. First, parental leave requires improvement in the working environment and blind spots in order to expand the system, and second, child allowance requires a change in the form of payment that deviates from the uniform and biased system. should be sought, and it was proposed to expand the target age.

• Journal of KIISE:Software and Applications
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• v.33 no.12
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• pp.1090-1102
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• 2006

This paper suggests a new algorithm for detecting the plagiarism among a set of source codes, constrained to be functionally equivalent, such are submitted for a programming assignment or for a programming contest problem. The typical algorithms largely exploited up to now are based on Greedy-String Tiling, which seeks for a perfect match of substrings, and analysis of similarity between strings based on the local alignment of the two strings. This paper introduces a new method for detecting the similar interval of the given programs based on an adaptive similarity matrix, each entry of which is the logarithm of the probabilities of the keywords based on the frequencies of them in the given set of programs. We experimented this method using a set of programs submitted for more than 10 real programming contests. According to the experimental results, we can find several advantages of this method compared to the previous one which uses fixed similarity matrix(+1 for match, -1 for mismatch, -2 for gap) and also can find that the adaptive similarity matrix can be used for detecting various plagiarism cases.