• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.

• 재활복지
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• v.21 no.1
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• pp.1-26
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• 2017

The main purpose of this paper is identifying the trends of researches in the realm of social welfare for disabled people. It tries to introduce an alternative analytic approach - key word network analysis - that might surpass the shortage of analysis methods of existing studies which have mainly relied on descriptive analysis. For this purpose the authors constructed a database composed of key words and informations about research methods of the data sources of this study. The sources are such researches as doctoral theses and the papers of Korean Journal of Social Welfare and Journal of Rehabilitation Research which were published during the 20 years from 1996 to 2015. Total numbers of the thesis or papers analysed at this study are 1,034. The results are shown in three ways as follows: First, the method trends of selected researches. Second the lists of interested types and population groups of the disabled persons and interested issues. Third, the intellectual structure of the research. Based on the findings of this study, some suggestions are given considering desirable directions of future researches in relation to perspectives, methods, targets and subjects of them.

• 건강소식
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• v.38 no.12
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• pp.28-29
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• 2014

스케줄이 아무리 빡빡해도 칼같이 조정해내는 사람이 인정받는 이유는 그만큼 그 일이 어렵기 때문이다. 어떤 일의 목표를 세우고 추구하는 과정에서 자기통제력은 중요한 역할을 한다. 다이어트에서도 예외는 아니다. 다이어트를 하겠다는 의지는 시시때때로 강해지거나 약해지기 때문에 더욱 확실한 동기와 자기통제력을 강화하려는 노력이 필요하다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.411-412
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• 2012

본 연구는 국내 전문대학교에서 대학의 특성과 가치를 간결하게 알릴기 위한 목적으로 개발하여 사용하고 있는 슬로건(slogan)에 사용된 주제어의 유형을 조사 분석하고 이를 2005년 슬로건과 비교하여 주제어의 변화 추이를 알아보고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.4
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• pp.139-146
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• 2006

A Signcryption proposed by Yuliang Zheng in 1997 is a hybrid public key primitive that combines a digital signature and a encryption. It provides more efficient method than a straightforward composition of an signature scheme with a encryption scheme. In a mobile communication environment, the authenticated key agreement protocol should be designed to have lower computational complexity and memory requirements. The password-based authenticated key exchange protocol is to authenticate a client and a server using an easily memorable password. This paper proposes an secure Authenticated Key Exchange protocol using Signcryption scheme. In Addition we also show that it is secure and a more efficient that other exiting authenticated key exchange protocol.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.107-134
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• 2012

The purpose of this study is to investigate the effectiveness of two teaching methods of word problems, one based on mathematical modeling learning(ML) and the other on traditional learning(TL). Additionally, the influence of mathematical modeling learning in word problem solving behavior, application ability of real world experiences in word problem solving and the beliefs of word problem solving will be examined. The results of this study were as follows: First, as to word problem solving behavior, there was a significant difference between the two groups. This mean that the ML was effective for word problem solving behavior. Second, all of the students in the ML group and the TL group had a strong tendency to exclude real world knowledge and sense-making when solving word problems during the pre-test. but A significant difference appeared between the two groups during post-test. classroom culture improvement efforts. Third, mathematical modeling learning(ML) was effective for improvement of traditional beliefs about word problems. Fourth, mathematical modeling learning(ML) exerted more influence on mathematically strong and average students and a positive effect to mathematically weak students. High and average-level students tended to benefit from mathematical modeling learning(ML) more than their low-level peers. This difference was caused by less involvement from low-level students in group assignments and whole-class discussions. While using the mathematical modeling learning method, elementary students were able to build various models about problem situations, justify, and elaborate models by discussions and comparisons from each other. This proves that elementary students could participate in mathematical modeling activities via word problems, it results form the use of more authentic tasks, small group activities and whole-class discussions, exclusion of teacher's direct intervention, and classroom culture improvement efforts. The conclusions drawn from the results obtained in this study are as follows: First, mathematical modeling learning(ML) can become an effective method, guiding word problem solving behavior from the direct translation approach(DTA) based on numbers and key words without understanding about problem situations to the meaningful based approach(MBA) building rich models for problem situations. Second, mathematical modeling learning(ML) will contribute attitudes considering real world situations in solving word problems. Mathematical modeling activities for word problems can help elementary students to understand relations between word problems and the real world. It will be also help them to develop the ability to look at the real world mathematically. Third, mathematical modeling learning(ML) will contribute to the development of positive beliefs for mathematics and word problem solving. Word problem teaching focused on just mathematical operations can't develop proper beliefs for mathematics and word problem solving. Mathematical modeling learning(ML) for word problems provide elementary students the opportunity to understand the real world mathematically, and it increases students' modeling abilities. Futhermore, it is a very useful method of reforming the current problems of word problem teaching and learning. Therefore, word problems in school mathematics should be replaced by more authentic ones and modeling activities should be introduced early in elementary school eduction, which would help change the perceptions about word problem teaching.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.89.1-89.1
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• 2010

본 연구는 세라믹 연결재로 사용되는 Perovskite 구조의 LSTO조성의 실제 SOFC stack 적용을 위한 소결온도를 낮출 수 있는 방법에 관해 연구하였다. SOFC 단전지에서 IC 소재는 $1300{\sim}1400^{\circ}C$에서 소결이 이루어져야만 하나 현재 사용하고 있는 LCO계 조성의 경우 $1500{\sim}1600^{\circ}C$의 높은 온도에서 소결이 이루어지며 고온에서 $Cr_2O_3$의 휘발로 인해 낮은 전기전도성을 갖는 문제점을 가지고 있다. 이러한 문제점을 해결하기 위해 IC 소재에 소결조제를 첨가하여 소결특성을 평가하였고, SEM과 XRD분석을 통하여 perovskite 단일상이 합성된 것을 확인하였다. 또한 Archimedes법을 사용하여 흡수율 및 겉기공율을 측정하였고, DC analyzer를 사용하여 전기전도도를 측정한 결과 대기분위기 $750^{\circ}C$에서 높은 값을 나타냄을 확인할 수 있었다.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.133-139
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• 2020

The purpose of this study is to contribute to the provision of basic data for psychological quarantine policy and counseling by examining the public perception of the "corona blue" phenomenon through analysis of social media big data. To do this, key words related to the word 'Corona Blue' were derived and analyzed using the big data analysis program 'Textom'. As a result of the analysis, words such as 'Corona 19', 'depression', 'problem' and 'overcome' were derived as key words. For the analysis results,"pride and awarenes as the public perception of Corona 19", "depression and anxiety as a group trauma as the corona blue phenomenon", "spreading a psychological quarantine culture and demanding social healing as the perception of overcoming corona Blue," and "hope for return to daily life and changes in daily life as the perception of post corona" were discussed. In conclusion, we have identified the need for active psychological support from the community By revealing that Corona Blue is a depression as a group trauma. At this time, it is confirmed that it is necessary to prioritize social healing and psychological quarantine for the main risk groups such as youth or the vulnerable, who are the socially weak.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.12-20
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• 2006

In this paper, we propose electronic payment protocol using GDHP blind signature scheme to activate e-business in the wire/wireless integrated environment. The protocol applied elliptic curve algorithm on the GDHP base and improved the efficiency of the existing blind signature technique on the basis of communication frequency and calculation number. And the protocol accelerated speed and strengthened safety against man-in-the-middle attacks and forward secrecy because the certification between individuals is performed by the session key created by Weil paring using elliptic curve cryptosystem in the limited entity $F_q$ instead of the certification used in the existing PayWord protocol.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.57-60
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• 2000

Even if the video data is utilized for a lot of field, its very difficult to reuse and search easily because of its atypical(unfixed form) and complicated structure. In this study, we presented the video retrieval system which is based on the synchronized closed caption and video, SMIL and SAMI languages which are described to structured and systematic form like multimedia data These have next structure; At first, a key word is inputted by user, then time stamp would be sampling from the string which has a key word in the caption file. To the result, the screen shows an appropriate video frame.