• Review of KIISC
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• v.25 no.1
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• pp.18-25
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• 2015

컴퓨터와 네트워크가 보안 상 안전하려면 무엇보다 사용되는 시스템 및 응용 프로그램에 보안약점이 없어야 한다. 보안약점은 공격자가 이용하여 제어 흐름을 탈취하거나 원하는 정보를 유출할 수 있게 하는 프로그램 상의 불완전한 부분을 뜻한다. 보안약점이 없는 프로그램을 만들기 위한 방법으로 시큐어 코딩 규칙을 정의하고, 프로그램 개발 단계에서 이를 적용하게 할 수 있다. 코딩 과정에서 시큐어 코딩 규칙을 준수하여 보안약점 발생을 억제하는 방법은 예방적 조치이다. 아무런 규칙 없이 코딩을 진행한 후 보안약점을 분석, 제거하는 방법보다 프로그래머들에게 부담이 적고, 정적 분석을 사용하여 보안약점을 분석하는 도구들의 치명적인 약점인 오탐 비율을 낮춘다. 이 글은 2014년까지 소프트웨어 개발 보안 센터를 중심으로 진행된 행정자치부의 C/C++, Java, PHP 프로그래밍 언어를 위한 시큐어 코딩 가이드에 대하여 설명한다.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.1
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• pp.89-104
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• 2021

Based on the TF-IDF weighted value that evaluates the importance of words that play a key role, the semantic network analysis(SNA) was conducted on the self-introduction letter of freshman at Korea National College of Agriculture and Fisheries(KNCAF) in 2020. The top three words calculated by TF-IDF weights were agriculture, mathematics, study (Q. 1), clubs, plants, friends (Q. 2), friends, clubs, opinions, (Q. 3), mushrooms, insects, and fathers (Q. 4). In the relationship between words, the words with high betweenness centrality are reason, high school, attending (Q. 1), garbage, high school, school (Q. 2), importance, misunderstanding, completion (Q.3), processing, feed, and farmhouse (Q. 4). The words with high degree centrality are high school, inquiry, grades (Q. 1), garbage, cleanup, class time (Q. 2), opinion, meetings, volunteer activities (Q.3), processing, space, and practice (Q. 4). The combination of words with high frequency of simultaneous appearances, that is, high correlation, appeared as 'certification - acquisition', 'problem - solution', 'science - life', and 'misunderstanding - concession'. In cluster analysis, the number of clusters obtained by the height of cluster dendrogram was 2(Q.1), 4(Q.2, 4) and 5(Q. 3). At this time, the cohesion in Cluster was high and the heterogeneity between Clusters was clearly shown.

• Journal of The Korean Association of Information Education
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• v.8 no.2
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• pp.191-201
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• 2004

In accordance with wide spread of personal computer and the expansion of network access, the use of internet has been popular and communication by text message is much more normal than that of voice and image. Accordingly, the side effect of communication language brings about gap between diverse social class, the isolation of communication between generations, abusive expressions, obstacles of juvenile mental development and so on. It appears by the form of slang and vulgar word and has a negative effect on education of mother tongue and usage of children's real language. To deal with these problems, we developed new web-based education system through the analysis of learners' requirement; "Barun Mal, Goeun Mal class". So we verified its efficiency to apply to real class. We also found that this system increased the learners' interest and educational effectiveness. Also, this system contributed to the proper use of language.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.297-304
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• 2021

This study aims not only to access the visual thought-oriented approach that has been implemented in established art therapy and education but also to integrate language education and therapeutic approach to support the development of school-age children. Thus, text mining technique was applied to search for areas where different areas of language and art can be integrated. This research was conducted in accordance with the procedure of basic research, preliminary DB construction, text screening, DB pre-processing and confirmation, stop-words removing, text mining analysis and the deduction about the convergent areas. These results demonstrated that this study draws convergence areas related to regional, communication, and learning functions, areas related to problem solving and sensory organs, areas related to art and intelligence, areas related to information and communication, areas related to home and disability, topics, conceptualization, peer-related areas, integration, reorganization, attitudes. In conclusion, this study is meaningful in that it established a framework for designing an activity-centered convergence program of art and language in the future and attempted a holistic approach to support child development.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.219-236
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• 2018

This study investigated the image of library in our society by analyzing newspaper articles related to libraries. A total of 3065 newspaper articles reported in Kyunghyang, Hankyoreh, Chosun, and Joongang from 2000 to 2017 were analyzed using time series analysis. The results of the time series analysis showed the number of newspaper articles related to library declined to a peak in 2009. Also, there were differences in the content of newspaper articles by year except for those content related to books. There were many articles about 'information' and 'use' in early 2000, about 'library operation and opening', 'culture' from 2006, and about 'residents of the area', 'culture' after 2012. These content of newspaper articles may reflects the image of library in our society. Finally, this study dis cussed practical ways of public library promotion.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.121-132
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• 2019

Purpose: This study aims to analyze the meaning of architectural space of Alvar Aalto, which is based on architectural theories of periodic flows and the form of the space with the various elements applied to the works. Method: It analyzes the interrelationships of light, form and material in triangular composition by synthesizing the architectural vocabulary of Alvar Aalto from the viewpoint of modernism. Results: The architectural works of Alvar Aalto are centered on the combination of light, form, material, and space diversity, emphasizing social awareness and linking the human scale with the building environment. Conclusion: The structure of the Alvar Aalto is a synonym of nature and culture, society and individuals, standardization and diversity, universality and locality, intellectual and emotional, scientific and human psychological. It is possible to apply reciprocity elements to architectural spaces in a comprehensive manner while being different from each other in terms of rationality and immediacy.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.209-215
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• 2018

The purpose of this study is to grasp the overall policy decision system of sex crime prevention policy and analyze the interaction and pattern of actors in policy formation process. This is a useful way to identify the causes and ways to improve the policy if the sex crime prevention policy fails. As a research method, we used a model of advocacy through case analysis and language network analysis. In the external environment, low reporting of sex offenses, technical improvement and supplement for preventive management, consciousness of victims of sexual crimes, amendment of legislation, and support of the president. The conflicts between the advocacy coalition opposed the strong regulation, the prevention of recidivism, the expansion of the range of objects to be worn, the temporary effect of the system and the retrospective of the bill. As a problem-solving strategy, it was confirmed that the opposing positions of pros and cons of lack of manpower and negligence of management through the extension of the system were acutely opposed. In the context of media reports, this tendency is more likely to be understood as the concern of prevention and management at the central government level to prevent sex crimes. Therefore, although the methods of prevention of sex crimes have been insufficient in the past, it is hoped that this study will be helpful in breaking the link of negative policy vicious cycle.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.245-262
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• 2015

As the topics of general education in universities become more diverse, it is not an easy task to identify the topics of general education courses. This study aims to identify and visualize the topics of A university's general education courses using informetric analysis methods. 214 syllabi were collected and titles, course introduction, goals, and weekly plans were analyzed. 278 topic words were extracted from the data set and grouped into 8 clusters. In the network analysis, topic clusters were divided into two areas, personal and social. Personal area has 14 sub-topic clusters and social area has 11 sub-topic clusters. In personal area, 'language', 'science', and 'personality' were major topic clusters. In social area, 'multi-culture' cluster was the core cluster with connected to four other clusters. The topic network generated in this study can be used for the university and the university library to enhance general education or to develop collections for general education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.